<?xml version="1.0" encoding="UTF-8"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-08-01T06:23:24Z</responseDate><request metadataPrefix="oai_dc" verb="ListRecords">https://escholarship.org/oai</request><ListRecords><record><header><identifier>oai:escholarship.org:ark:/13030/qt8pb423b0</identifier><datestamp>2026-07-31T16:19:54Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8pb423b0</dc:identifier><dc:title>Tri-Domain Cross-Attention Transformers for Cross-Subject EEG Decoding of Cognitive States</dc:title><dc:creator>Li, Zhengde</dc:creator><dc:creator>Zhang, Gaoyan</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Mental fatigue and high cognitive loads reduce cognitive efficiency and task performance. Electroencephalogram (EEG) can track these states with high temporal resolution, but informative patterns span time, frequency, and distributed scalp topology. Most decoders handle these domains separately or fuse them only at the output, which can miss cross-domain dependencies. We propose TD-CAT, a tri-domain cross-attention Transformer that models interactions among temporal, spectral, and spatial representations. TD-CAT builds domain-specific features via temporal and spectral convolutions and a topology-aware graph module, then integrates the three streams with bidirectional cross-attention and low-rank fusion. Under leave-one-subject-out evaluation on SADT and SEED-VIG (driver fatigue) and MAT (cognitive load), TD-CAT reaches 80.7% and 92.6% accuracy on SADT and SEED-VIG, and 82.4% on MAT, demonstrating strong cross-subject performance across multiple datasets and task settings.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Human Factors</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:subject>Electroencephalography (EEG)</dc:subject><dc:subject>Neural Networks</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8pb423b0</dc:identifier><dc:identifier>https://escholarship.org/content/qt8pb423b0/qt8pb423b0.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2z00f3n4</identifier><datestamp>2026-07-31T16:19:54Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2z00f3n4</dc:identifier><dc:title>Emotional State or Deviation? Emotion Deviations Consistently Predict Working Memory Performance in Daily Life</dc:title><dc:creator>Cao, Lian</dc:creator><dc:creator>Sugisaki, Eriko</dc:creator><dc:creator>Miyamoto, Akihiro</dc:creator><dc:creator>Sanada, Motoyuki</dc:creator><dc:creator>Nakajima, Kae</dc:creator><dc:creator>Kobayashi, Nao</dc:creator><dc:creator>Naruse, Yasushi</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Previous studies have reported contradictory findings, showing that emotion can both enhance and interfere with working memory (WM). We propose that these inconsistencies partly arise from differences in how emotional effects are conceptually defined, rather than from emotional properties alone. Using a smartphone-based experience sampling method (ESM), we repeatedly assessed multidimensional emotional states and performance on two WM tasks over approximately three months in daily life. We conducted two analyses on the same dataset: one defining emotional effects based on emotional states at the measurement occasion, and another defining emotional effects as within-person deviations from each individual's typical emotional level using linear mixed-effects models. 
Analyses based on emotional states yielded mixed enhancement and interference effects depending on tasks and emotional dimensions. In contrast, emotional deviations from typical level were more consistently associated with interference effects on WM performance. Together, these findings demonstrate that how emotional effects are defined critically shapes their interpretation and consistency in emotion–WM research.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Emotion</dc:subject><dc:subject>Memory</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2z00f3n4</dc:identifier><dc:identifier>https://escholarship.org/content/qt2z00f3n4/qt2z00f3n4.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2q54j1b5</identifier><datestamp>2026-07-31T16:19:27Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2q54j1b5</dc:identifier><dc:title>Progressive Coherence Building in Relational Understanding: A Hierarchical Cognitive Model</dc:title><dc:creator>Wang, Zhen</dc:creator><dc:creator>Wang, Yu</dc:creator><dc:creator>zhao, wen</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Human readers derive coherent relational understanding from information distributed across a document through a progressive, hierarchical process: local semantic associations are established first and then integrated into global coherence. How the mind achieves such robust integration while limiting combinatorial explosion and error propagation remains an open question. We propose progressive coherence building as a key computational principle, in which complex inference is constrained through sequentially layered, verifiable representations. Guided by this hypothesis, we introduce a Hierarchical Cognitive Model (HCM) for cross-context relational learning. HCM instantiates three cognitively motivated stages: (1) lexical-semantic grounding via prompt-based semantic priming; (2) local proposition formation through intra-triple attention that enforces local semantic consistency; and (3) global coherence optimization using prior-guided axial attention to integrate evidence across the narrative. This staged design stabilizes intermediate representations and mitigates error propagation. Experiments on CDR, GDA, and DocRED demonstrate state-of-the-art performance. Ablation results reveal cumulative degradation when higher stages are removed, empirically supporting the proposed hierarchical processing account.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Computer Science</dc:subject><dc:subject>Cognitive architectures</dc:subject><dc:subject>Language understanding</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2q54j1b5</dc:identifier><dc:identifier>https://escholarship.org/content/qt2q54j1b5/qt2q54j1b5.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9pk053k6</identifier><datestamp>2026-07-31T16:19:25Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9pk053k6</dc:identifier><dc:title>When Tutor Errors Match Learners' Misconceptions: A Congruency Effect in LLM Tutoring and a Scaffolding Intervention</dc:title><dc:creator>Wu, Yefeng</dc:creator><dc:creator>liu, yangyang</dc:creator><dc:creator>shi, bao</dc:creator><dc:creator>liu, yufan</dc:creator><dc:creator>zhang, yan</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Errors in LLM-style tutoring are not uniformly harmful. We test a misconception-congruency effect: when an explanation's key error aligns with a learner's pre-existing misconception, the error is harder to detect and more likely to be adopted. We introduce epistemic scaffolding—claim decomposition with evidence/counterexample selection—to shift evaluation toward evidential cues. In a controlled experiment with engineering students (N = 124) using researcher-written feedback that simulates LLM explanations, congruent errors were detected less often than incongruent errors (36% vs. 58%). Scaffolding improved congruent-error detection to 62% and reduced adoption, while signal detection analyses showed higher sensitivity (d_) without increased response bias. These findings suggest learner-aware safeguards should target the interaction between tutor errors and learner priors.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Education</dc:subject><dc:subject>Learning</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Tutoring</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9pk053k6</dc:identifier><dc:identifier>https://escholarship.org/content/qt9pk053k6/qt9pk053k6.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt00j004t8</identifier><datestamp>2026-07-31T16:19:22Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt00j004t8</dc:identifier><dc:title>Cognitive Efficiency and Perceived Text Quality in Children: how Concreteness and Specificity shape Clarity and Informativeness</dc:title><dc:creator>Occhipinti, Laura</dc:creator><dc:creator>Villani, Caterina</dc:creator><dc:creator>Lamarra, Tommaso</dc:creator><dc:creator>Loia, Adele</dc:creator><dc:creator>Rambelli, Giulia</dc:creator><dc:creator>Bolognesi, Marianna M</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Readability is often conceived in terms of processing efficiency, assuming that texts that are easier to process are also more effective communicatively. However, lexical choices may support different aspects of textual quality. This study investigates how concreteness and specificity shape children's subjective evaluations of textual quality, focusing on perceived clarity and informativeness. Children aged 9–12 read short texts manipulated for concreteness and specificity and rated them on four dimensions: ease of understanding, confusion, quantity of information, and relevance of information. Mixed-effects analyses reveal that concreteness increases perceived clarity across age groups, whereas specificity primarily tends to enhance perceived informativeness, with effects varying across development. These findings suggest that different lexical properties contribute in distinct ways to clarity and informativeness, and that their relationship is not fully captured by processing ease alone. Overall, the results support a multidimensional view of communicative efficiency and highlight developmental changes in how children evaluate informational content.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Cognitive development</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Reading</dc:subject><dc:subject>Semantics of language</dc:subject><dc:subject>Classroom studies</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/00j004t8</dc:identifier><dc:identifier>https://escholarship.org/content/qt00j004t8/qt00j004t8.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8ft8t0x7</identifier><datestamp>2026-07-31T16:19:20Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8ft8t0x7</dc:identifier><dc:title>Production Efficiency in Written Hindi Falsehoods</dc:title><dc:creator>Arun, Ishita</dc:creator><dc:creator>Husain, Samar</dc:creator><dc:date>2026-01-01</dc:date><dc:description>This study examines linguistic differences between truthful and false written narratives in Hindi using psycholinguistically motivated measures of language processing complexity. Adopting a corpus-based, processing-oriented approach, we investigate how the cognitive demands of producing falsehoods shape lexical and syntactic choices beyond surface-level cues. Participants produced written opinions that were either truthful or intentionally false, which were analyzed using metrics including surprisal, dependency distance, part-of-speech distributions, and type–token ratio. Our results show that lower mean surprisal, along with higher verb counts and reduced use of nouns and adverbs, significantly predicts false narratives. These patterns suggest that falsehood production in Hindi relies on linguistically efficient strategies characterized by predictable constructions and reduced informational specificity to ease planning and monitoring under cognitive load. By presenting evidence from an underrepresented South Asian language, this study advances cross-linguistic research on deception and highlights the value of processing-based metrics for understanding deceptive language production.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Language Production</dc:subject><dc:subject>Corpus studies</dc:subject><dc:subject>Cross-linguistic analysis</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8ft8t0x7</dc:identifier><dc:identifier>https://escholarship.org/content/qt8ft8t0x7/qt8ft8t0x7.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7486q3x5</identifier><datestamp>2026-07-31T16:19:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7486q3x5</dc:identifier><dc:title>A Deep Entanglement Model of Attentional Bottleneck: Brain Plays Psi-Phi Plus Dice</dc:title><dc:creator>Sohrabi, Ahmad</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Human attention exhibits an attentional bottleneck during which conscious perception is impaired, a phenomenon that has not yet been explored directly with quantum models. This emerges when competing stimuli are presented serially and briefly. The representation of the stimuli was encoded as two-qubit entangled states, either correlated or anticorrelated. The mask intensity was encoded through random angle rotations to a qubit. The two qubits formed Bell states (Psi and Phi), undergoing deep entanglement through repeated layers. Measurement in terms of probability at each depth level simulated the attentional refraction and oscillation consistent with patterns observed in human studies, supported by extra measurements altogether, such as separate and combined probabilities, expectation values, and measures including entropy, fidelity, and concurrence. The model reproduced several effects found in attentional blink, specifically the well-known lag-1 sparing and masking effects, as well as two additional effects newly termed as partial lag-2 sparing and lag-7 divergence.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Computer Science</dc:subject><dc:subject>Philosophy</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Cognitive architectures</dc:subject><dc:subject>Complex systems</dc:subject><dc:subject>Consciousness</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Perception</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7486q3x5</dc:identifier><dc:identifier>https://escholarship.org/content/qt7486q3x5/qt7486q3x5.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt37j6790s</identifier><datestamp>2026-07-31T16:19:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt37j6790s</dc:identifier><dc:title>Behavioral and Functional Near-Infrared Spectroscopy (fNIRS) Study Testing for Shared Magnitude Processing for Numerosity and Proportion</dc:title><dc:creator>Zhang, Nick Yunqi</dc:creator><dc:creator>Kelly, Patrick George</dc:creator><dc:creator>Joyner, Keanan</dc:creator><dc:creator>Bortfeld, Heather</dc:creator><dc:creator>Bunge, Silvia</dc:creator><dc:creator>Xu, Fei</dc:creator><dc:date>2026-01-01</dc:date><dc:description>A large body of research has investigated humans' representation of quantity through the Approximate Number System (ANS). In contrast, it is less clear how proportions are represented, and whether proportion processing is fully analogous to numerosity processing. In the current study, we compared numerosity and proportion discrimination within the same participants, while measuring cerebral hemodynamic responses using functional near-infrared spectroscopy (fNIRS). Behavioral results showed substantial commonalities between the two tasks, including highly comparable response accuracy, and shared ratio-dependent psychophysics. At the same time, proportion judgments were slower than numerosity judgments, suggesting additional processing demands beyond shared magnitude sensitivity. Neural evidence was less diagnostic, perhaps due to insufficient power, although a group-level conjunction analysis revealed overlapping parietal activation centered on the intraparietal sulcus for a general task contrast. Together, these findings speak to the possibility of shared magnitude processing substrate spanning number and proportion, while also cautioning the equivalence of the two forms of quantitative processing.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Representation</dc:subject><dc:subject>fNIRS</dc:subject><dc:subject>Psychophysics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/37j6790s</dc:identifier><dc:identifier>https://escholarship.org/content/qt37j6790s/qt37j6790s.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0vp104w8</identifier><datestamp>2026-07-31T16:19:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0vp104w8</dc:identifier><dc:title>Attentional Inertia and Residue in Dual-Tasking Performance: Examining Within- and Between-Task Variability Using Multilevel Vector Autoregression Models</dc:title><dc:creator>Park, Rinseo</dc:creator><dc:creator>Naefgen, Christoph</dc:creator><dc:creator>Gaschler, Robert</dc:creator><dc:creator>Ram, Nilam</dc:creator><dc:date>2026-01-01</dc:date><dc:description>When individuals attempt to complete multiple tasks simultaneously, constraints on how attention is deployed influence performance. However, experimental findings from dual-tasking paradigms often rely on analysis of aggregated data that obscure study of how the carryover or spillover of attention over time – attentional inertia and residue – changes within person and over time. This study introduces an analytical framework for examining if and how attentional control settings from an initial task persist both within the same task (attentional inertia) and between two different tasks (attentional residue) across trial, session, and person levels. Leveraging reaction time data from 58 participants who completed 20 online sessions of dual-task performance blocks, we employed multilevel vector autoregression models to simultaneously model the lagged and cross-lagged effects. Our results demonstrate that both positive inertia and positive residue effects manifest and that they are positively correlated, especially for those originating from the same initial task.</dc:description><dc:subject>Behavioral Science</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Perception</dc:subject><dc:subject>Developmental analysis</dc:subject><dc:subject>Psychophysics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0vp104w8</dc:identifier><dc:identifier>https://escholarship.org/content/qt0vp104w8/qt0vp104w8.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1pb3175x</identifier><datestamp>2026-07-31T16:19:04Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1pb3175x</dc:identifier><dc:title>Superstitious Ordering Despite Discouragement: The Role of Visual Features</dc:title><dc:creator>Cai, Linzhuohao</dc:creator><dc:creator>Gong, Tianwei</dc:creator><dc:creator>Lagnado, David</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Humans readily perceive patterns even in situations with only random noise, but how do they respond when the genuine rule deliberately discourages this tendency? We investigated superstitious ordering under a consistent preference-discouraging (PD) schedule, in which reward probability increases for previously avoided options and decreases for previously chosen  options. This contradicts typical reinforcement principles, in which some options are always preferred over others. We also examined the role of visual features, with one group using geometric shape combinations as stimuli and another group using natural images. We found that participants in both groups developed significant subjective linear orderings of stimuli, with a marginally stronger effect in the Geometrical Image condition. Comparisons with the benchmark agent, optimized Q-learning agent, and random agent showed that none of the models could explain participants' response patterns, indicating a unique and stable superstitious ordering effect in human learning.</dc:description><dc:subject>Decision making</dc:subject><dc:subject>Learning</dc:subject><dc:subject>Pattern recognition</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1pb3175x</dc:identifier><dc:identifier>https://escholarship.org/content/qt1pb3175x/qt1pb3175x.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9009012q</identifier><datestamp>2026-07-31T16:19:02Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9009012q</dc:identifier><dc:title>Modeling How Inhibitory Control Affects False Belief Reasoning Over Time Using Dense Longitudinal Data</dc:title><dc:creator>Poyraz, Elif Nur</dc:creator><dc:creator>Leslie, Alan M.</dc:creator><dc:creator>Hemmer, Pernille</dc:creator><dc:date>2026-01-01</dc:date><dc:description>An important puzzle in theory of mind development is the performance shift in false belief understanding between the ages of 3 to 4. Theory of Mind Mechanism (ToMM) theory (Leslie et al., 2005) argues that changes in inhibitory power (IP) account for this shift. Wang and colleagues (2019) developed a computational model to implement this theory, where they quantified the role of IP using group averaged data. Here, we extend the Wang and colleagues' (2019) model to account for changes happening across time at the individual level. We model a novel dataset where 14 children were repeatedly tested during this transitional period on average every 20 days. Their performance in high and low inhibitory demand false belief tasks (FBT), and an independent measure of their inhibitory control, was collected. We find that the model framework is successful in predicting matching inferences on children's IP given their performance in different FBTs.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Cognitive development</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Case studies</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9009012q</dc:identifier><dc:identifier>https://escholarship.org/content/qt9009012q/qt9009012q.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0741m7r3</identifier><datestamp>2026-07-31T16:19:02Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0741m7r3</dc:identifier><dc:title>Group Biases and Motivated Reasoning in Media Consumption: Evidence for Intergroup Polarization</dc:title><dc:creator>Baba, Abhishek</dc:creator><dc:creator>Verma, Ark</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Group-based identification provides motivation for displaying ingroup favoritism across one's cognitive faculties. Social identity theory purports that individuals are driven to construe positive self-esteem from ingroup membership, predisposing one to positively differentiate themselves from other relevant social groups (outgroups). In this context, social narratives help sustain, propagate and rationalize the existing intergroup differences, and polarized news outlets become a common carrier of such biased narratives. In the current study, across three experimental studies using the minimal group paradigm, we investigated how individuals are predisposed to preferentially process, believe and enact on intergroup news headlines. Experiment 1 revealed faster processing of positive ingroup news headlines compared to those of positive outgroup news. Experiment 2 introduced news sources varying in reliability (low and high) and found asymmetric believability for the positive and negative intergroup news headlines, favoring ingroup irrespective of source reliability. Finally, in Experiment 3, simulating a sharing and voting task, participants again showed preferential sharing of positive ingroup headlines while withholding more negative ingroup news, and displayed clear voting preference for their minimal ingroup candidates. The study demonstrates how easily individuals are susceptible to biased intergroup news consumption, highlighting the urgency for media literacy in the increasingly polarizing information age.</dc:description><dc:subject>Sociology</dc:subject><dc:subject>Group Behaviour</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:subject>Social media analysis</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0741m7r3</dc:identifier><dc:identifier>https://escholarship.org/content/qt0741m7r3/qt0741m7r3.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6bp076zt</identifier><datestamp>2026-07-31T16:18:59Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6bp076zt</dc:identifier><dc:title>Human Adults and LLMs as Scientists: Who Benefits from Active Exploration?</dc:title><dc:creator>Samiei, Mandana</dc:creator><dc:creator>Yiu, Eunice</dc:creator><dc:creator>GX-Chen, Anthony</dc:creator><dc:creator>Lin, Dongyan</dc:creator><dc:creator>Shen, Jocelyn J</dc:creator><dc:creator>Richards, Blake</dc:creator><dc:creator>Gopnik, Alison</dc:creator><dc:creator>Precup, Doina</dc:creator><dc:date>2026-01-01</dc:date><dc:description>A long-standing finding in the causal learning literature is that adults struggle to identify conjunctive causal rules, where an effect requires the simultaneous presence of multiple causes, while performing better in disjunctive settings. However, most demonstrations of this "conjunctive handicap'' rely on passive observation paradigms with limited evidence, where learners have no control over evidence generation. This paper asks whether this bias persists when adults are granted agency through active exploration. Using a modified "blicket detector'' task, adult participants freely intervened to identify causal objects under conjunctive or disjunctive rule structures. We show that active exploration substantially improves adults' conjunctive causal reasoning, although conjunctive rules still require more tests to infer than disjunctive rules. We further compare human performance to a range of large language models in the same setting. While some state-of-the-art models approach human-level performance on hypothesis inference accuracy, they often exhibit less efficient exploration strategies and similar conjunctive-disjunctive performance gaps.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Causal reasoning</dc:subject><dc:subject>Cognitive development</dc:subject><dc:subject>Intelligent agents</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Comparative Studies</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6bp076zt</dc:identifier><dc:identifier>https://escholarship.org/content/qt6bp076zt/qt6bp076zt.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3gw490fb</identifier><datestamp>2026-07-31T16:18:54Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3gw490fb</dc:identifier><dc:title>Toward a Mechanistic Account of Cognitive Inhibition: Integrating Computational Modeling and Psychometrics</dc:title><dc:creator>Wang, Jia-Shun</dc:creator><dc:creator>Elsemüller, Lasse</dc:creator><dc:creator>von Krause, Mischa</dc:creator><dc:creator>Liu, Tuo</dc:creator><dc:creator>Pan, Wanke</dc:creator><dc:creator>Donkin, Chris</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Cognitive inhibition is crucial for resolving conflict in decision making, but it is often estimated using reaction time differences between congruent and incongruent trials, which ignores accuracy and conflates inhibition with other processes. To address this, we adapted a Diffusion Model with Inhibition (DMI) to formally quantify cognitive inhibition—the suppression of task-irrelevant information—within a decision-making framework. This approach disentangles inhibition from processing speed and non-decision time. Combining computational modeling with structural equation modeling across multiple conflict tasks, we tested whether inhibition forms a coherent latent factor. Applying the same framework to large-scale data from over 1 million participants in the Implicit Association Task revealed distinct lifespan trajectories of inhibition across adulthood and aging. Overall, our findings show how computational modeling can uncover latent cognitive mechanisms underlying individual differences in inhibition.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3gw490fb</dc:identifier><dc:identifier>https://escholarship.org/content/qt3gw490fb/qt3gw490fb.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6x03k90q</identifier><datestamp>2026-07-31T16:18:45Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6x03k90q</dc:identifier><dc:title>Testing Potential Mechanisms of the Description-Experience Gap in Loss Aversion</dc:title><dc:creator>Busch, Nuno</dc:creator><dc:creator>Pachur, Thorsten</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Recent research has found a novel description-experience gap in loss aversion, such that the overweighting of losses relative to gains in risky choice is more pronounced when people make decisions based on experienced rather than on descriptive summary information. Here, we tested two possible mechanisms of this gap: a decision-by-sampling (DbS) account, according to which the relative distributions of gain and loss outcomes
that the decision maker encounters differ between description and experience; and an optional stopping account, according to which the role of losses for stopping information search differs between description and experience. Neither of the two mechanisms explained the gap. Whereas in description the relative rank of losses was higher than that of gains, this pattern was not more pronounced in experience (in fact, it was even
reversed)—at odds with a DbS account. Further, although individual differences in the tendency of search termination after encountering a loss (vs. a gain) showed some association with individual-level loss aversion, this mechanism did not mediate
the description-experience gap in loss aversion. Our results clarify that two prominent mechanisms of preference construction are unlikely to contribute to the description-experience gap in loss aversion, clearing the view on potential contributions of alternative mechanisms (e.g., asymmetric learning of gains and losses).</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6x03k90q</dc:identifier><dc:identifier>https://escholarship.org/content/qt6x03k90q/qt6x03k90q.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6kd3b7gx</identifier><datestamp>2026-07-31T16:18:45Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6kd3b7gx</dc:identifier><dc:title>Online library learning in human visual puzzle solving</dc:title><dc:creator>Zhao, Pinzhe</dc:creator><dc:creator>Sansone, Emanuele</dc:creator><dc:creator>Kryven, Marta</dc:creator><dc:creator>Zhao, Bonan</dc:creator><dc:date>2026-01-01</dc:date><dc:description>When learning a novel complex task, people often form efficient reusable abstractions that simplify future work, despite uncertainty about the future. We study this process in a visual puzzle task where participants define and reuse helpers---intermediate constructions that capture repeating structure. In an online experiment, participants solved puzzles of increasing difficulty. Early on, they created many helpers, favoring completeness over efficiency. With experience, helper use became more selective and efficient, reflecting sensitivity to reuse and cost. Access to helpers enabled participants to solve puzzles that were otherwise difficult or impossible. Computational modeling shows that human decision times and number of operations used to complete a puzzle increase with search space estimated by a program induction model with library learning. In contrast, raw program length predicts failure but not effort. Together, these results point to online library learning as a core mechanism in human problem solving, allowing people to flexibly build, refine, and reuse abstractions as task demands grow.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Problem Solving</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6kd3b7gx</dc:identifier><dc:identifier>https://escholarship.org/content/qt6kd3b7gx/qt6kd3b7gx.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4ww165xf</identifier><datestamp>2026-07-31T16:18:44Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4ww165xf</dc:identifier><dc:title>Evaluating ___: Global Motion Detection Requires Random Scale Representation and Allows for Threshold Representation</dc:title><dc:creator>de Lanerolle, Ruby</dc:creator><dc:creator>Singmann, Henrik</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Global motion detection performance is often described via ___
(i.e., equal-variance Gaussian Signal Detection Theory), de-
spite evidence that global motion detection requires a threshold
representation which is incompatible with ___. Both ___ and
threshold representation share the core assumption of random-
scale representation (RSR), which posits a latent evidence scale
without committing to specific distributional forms. We apply
critical tests to assess whether global motion detection requires
a RSR and whether a threshold representation is admissible.
Participants completed an __-alternative forced-choice random
dot motion task with __ = {2 . . . 8}. Accuracy across __ sat-
isfied RSR constraints, providing strong evidence that global
motion detection relies on RSR. We derived a hazard func-
tion from the accuracy and tested the monotonicity constraint
implied by threshold representation. The hazard function satis-
fied monotonicity, consistent with a threshold account. Recon-
structed ROC curves were piece-wise linear, inconsistent with
equal-variance Gaussian SDT, while generally consistent with
threshold models.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Perception</dc:subject><dc:subject>Mathematical modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4ww165xf</dc:identifier><dc:identifier>https://escholarship.org/content/qt4ww165xf/qt4ww165xf.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4885s5jd</identifier><datestamp>2026-07-31T16:18:42Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4885s5jd</dc:identifier><dc:title>Are counterfactuals necessary for actual causation judgments?</dc:title><dc:creator>Hale, Randall</dc:creator><dc:creator>Cheng, Patricia</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Two descriptive accounts of actual causation judgment, the Counterfactual Simulation Model (CSM) and the Counterfactual Effect Size Model (CESM), propose that actual-cause judgments for an observed event are derived from operations over mentally simulated counterfactual alternatives of the event. We argue that counterfactual models face computational and conceptual obstacles and propose the Retrieval of Invariant Causal Knowledge (RICK) model, which utilizes forward mental simulation to map type-level causal knowledge directly to token causal events. We demonstrate two predicted shortcomings of the CSM and compare with our model's performance.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Causal reasoning</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Knowledge representation</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4885s5jd</dc:identifier><dc:identifier>https://escholarship.org/content/qt4885s5jd/qt4885s5jd.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8579j2fh</identifier><datestamp>2026-07-31T16:18:40Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8579j2fh</dc:identifier><dc:title>Disfluency in Spontaneous Speech: Social Attribution and Behavioral Consequences</dc:title><dc:creator>Lee, Jonathan Him Nok</dc:creator><dc:creator>Papafragou, Anna</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Speech disfluency such as filled pauses (um and uh) is commonly associated with negative speaker evaluation, yet findings from previous studies relied on scripted, lab-recorded speech. Here, in two experiments, we investigate how filled pauses influence social judgment and decision making using unscripted, multi-sentence discourse extracted from spontaneous speech corpora. We find that filled pauses led to lower perceived readiness and certainty, regardless of speaker expertise (Experiment 1). However, disfluent experts were judged as more careful than disfluent novices, indicating a context-dependent social benefit of disfluency. In a follow-up decision task (Experiment 2), listeners were less likely to choose to ask disfluent speakers again (as opposed to someone else), an effect mediated by perceived readiness but not certainty. By integrating spontaneous speech and speaker profiles, this study demonstrates the importance of socially situated accounts of language processing and the dynamic nature of social evaluation in communication.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Discourse</dc:subject><dc:subject>Social cognition</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8579j2fh</dc:identifier><dc:identifier>https://escholarship.org/content/qt8579j2fh/qt8579j2fh.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6ks869nj</identifier><datestamp>2026-07-31T16:18:36Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6ks869nj</dc:identifier><dc:title>The Eye Movement Pattern and Brain Dynamics indicate successful learning during education video viewing</dc:title><dc:creator>Wei, Yizhi</dc:creator><dc:creator>Wang, Eric</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Online education has become a prominent feature of modern learning. However, what determines learning success in online education remains unclear. To explore this, the present study applies Hidden Markov Model to eye-tracking and EEG data in an open dataset containing educational video-viewing task. The model revealed two eye movement patterns: a global pattern where fixations were distributed across the video, and a local pattern where fixations focused on task-relevant features. The model also revealed 6 distinct brain states involving attention and memory. Experiments 1 and 2 explore the impact of task engagement on eye movement. We found that compared to intentional learning condition, more participants use a global pattern and suffer from worse memory performance in incidental learning condition. Experiment 3 explores the impact of video style. We found that only in the presenter-and-animation style, the local eye movement patterns and learning brain states are associated with learning success. Overall, this study explores factors that indicate learning success and offers insights for improving learning efficiency in online education.</dc:description><dc:subject>Education</dc:subject><dc:subject>Learning</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Electroencephalography (EEG)</dc:subject><dc:subject>Eye tracking</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6ks869nj</dc:identifier><dc:identifier>https://escholarship.org/content/qt6ks869nj/qt6ks869nj.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt36k05022</identifier><datestamp>2026-07-31T16:18:35Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt36k05022</dc:identifier><dc:title>Bridging Associative Memory and Logical Reasoning: A Causal-Enhanced Dual-Process Approach with Metacognitive Monitoring</dc:title><dc:creator>Zhang, Jiali</dc:creator><dc:creator>Chen, Chong</dc:creator><dc:creator>Wang, Tao</dc:creator><dc:creator>Wang, Zhuowei</dc:creator><dc:creator>Cheng, Lianglun</dc:creator><dc:date>2026-01-01</dc:date><dc:description>While Large Language Models (LLMs) exhibit impressive fluency, their reasoning often relies on surface-level statistical correlations rather than robust causal understanding. Current reasoning approaches, such as Retrieval-Augmented Generation (RAG), mitigate knowledge obsolescence but typically depend on vector-based retrieval, which mimics associative memory but fails to support the rigorous logical deduction required for complex queries. To address this, we propose a novel framework titled Bridging Associative Memory and Logical Reasoning, which implements a dual-process cognitive architecture. We construct high-fidelity Causal Knowledge Graphs through a human-in-the-loop method, utilizing expert-supervised LoRA fine-tuning to extract reliable causal dependencies from raw text. During inference, a Query Cognitive Planner orchestrates a Dual-Path Memory Access strategy, synergizing associative vector evidence with causal graph traversal. Crucially, a metacognitive validation acts as a "System 2" critic for iterative self-correction. Experiments demonstrate that this cooperative interaction outperforms associative baselines, confirming that explicit "System 2" monitoring effectively reduces logical hallucinations.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Causal reasoning</dc:subject><dc:subject>Cognitive architectures</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Reasoning</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/36k05022</dc:identifier><dc:identifier>https://escholarship.org/content/qt36k05022/qt36k05022.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1571b50s</identifier><datestamp>2026-07-31T16:18:34Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1571b50s</dc:identifier><dc:title>Mapping Emotion Representations: Evidence for Category–Dimension Relationships and Individual Differences</dc:title><dc:creator>Wu, Claudia</dc:creator><dc:creator>Yal–åún, ‚Ä¶zge Nilay</dc:creator><dc:date>2026-01-01</dc:date><dc:description>A central question in affective computing is how emotions should be represented. Emotion datasets typically adopt either categorical labels (e.g., Ekman categories) or dimensional ratings (e.g., Valence–Arousal–Dominance). Although these frameworks are often treated as comparable descriptions of affect, most work relies on only one representation at a time, limiting cross-dataset comparability and leaving their relationship empirically under-specified. This study explores how VAD ratings map onto categorical emotion judgments, and whether this mapping is consistent across individuals. We fit generalized linear mixed models with participant-level random effects using the MSP-Podcast Corpus to predict categorical labels from dimensional ratings. The results showed a significant effect of Valence, Arousal, and Dominance across several emotion categories (Sadness, Happiness, Anger, Fear, and Disgust) with significant participant-level variability. Overall, our results highlight that categorical and dimensional emotion representations are systematically related but their mapping is shaped by individual differences in affective interpretation. This suggests that affective computing models should explicitly account for rater-dependent variation when using dimensional and categorical emotion representations.</dc:description><dc:subject>Computer Science</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Emotion</dc:subject><dc:subject>Emotion Perception</dc:subject><dc:subject>Representation</dc:subject><dc:subject>Statistics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1571b50s</dc:identifier><dc:identifier>https://escholarship.org/content/qt1571b50s/qt1571b50s.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0kr3d6pw</identifier><datestamp>2026-07-31T16:16:47Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0kr3d6pw</dc:identifier><dc:title>Spatial navigation at the extremes: The collective accomplishment of high-speed, high-risk navigation in Rally Racing</dc:title><dc:creator>Nosrati, Shervin</dc:creator><dc:creator>Bruna, Polyphony</dc:creator><dc:creator>Spivey, Michael</dc:creator><dc:creator>Marghetis, Tyler</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Spatial navigation is a fundamental survival ability, and humans have evolved to navigate at the everyday scales of time and space that are experienced routinely. But some humans seem to shatter these limitations. Teams in the high-risk sport of rally racing must navigate complex courses at incredibly high speeds, where a single mistake can be fatal. How do rally teams accomplish navigation that is seemingly beyond the human scale? Here, we investigate rally racing to understand how distributed cognitive systems can accomplish spatial navigation at the extremes. By combining qualitative analysis, computer vision, and time series methods, we show how high-speed navigation is accomplished by a distributed system in which driver, co-driver, and cultural artifacts come into coordination. We end by discussing how extreme feats of cognition are made possible not by superhuman individuals, but by redistributing the computational burden across time, people, and artifacts.</dc:description><dc:subject>Distributed cognition</dc:subject><dc:subject>Group Behaviour</dc:subject><dc:subject>Spatial cognition</dc:subject><dc:subject>Case studies</dc:subject><dc:subject>Quantitative Behavior</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0kr3d6pw</dc:identifier><dc:identifier>https://escholarship.org/content/qt0kr3d6pw/qt0kr3d6pw.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7c59k7zf</identifier><datestamp>2026-07-31T16:16:18Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7c59k7zf</dc:identifier><dc:title>Inferring possible causes from event structures</dc:title><dc:creator>Khemlani, Sangeet</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Causal reasoning is inherently temporal in nature; humans can infer whether one event is a possible cause of another, even from temporal descriptions. For example, the sentence, "after the book was placed, the shelf collapsed" implies that it's possible (but not necessary) that the book's placement caused the shelf to collapse, and that it's impossible that the shelf's collapse caused the book's placement. These modal inferences challenge existing accounts of causal reasoning. Two experiments reveal how humans infer possible causes from temporal descriptions. Experiment 1 showed that their possibility judgements depend on the event structures described by temporal relations. Experiment 2 varied the consistency of event descriptions and found that people inferred possible causes even from conflicting information. These data challenge extant theories of causal reasoning but corroborate the hypothesis that people comprehend causal relations by building mental simulations of event structures.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Causal reasoning</dc:subject><dc:subject>Event cognition</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7c59k7zf</dc:identifier><dc:identifier>https://escholarship.org/content/qt7c59k7zf/qt7c59k7zf.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt47h3t605</identifier><datestamp>2026-07-31T16:16:16Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt47h3t605</dc:identifier><dc:title>Rational communication explains Differential Argument Marking and typological asymmetries between subject and object marking</dc:title><dc:creator>Holmes, Jesse</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Transitive events involve an agent (source of the action) and a patient (recipient of the action), and the successful communication of such events requires conveying these roles. Languages employ various strategies for this, including word order and case marking. Differential Argument Marking (DAM), denoting systems in which case marking only occurs in certain contexts, has garnered considerable attention for its cross-linguistic prevalence. One account posits that DAM arises via efficiency: referents with properties atypical for their role (and therefore less predictable) create pressure for marking, while typical referents do not. This predicts similar numbers of languages with atypical agent-marking and atypical patient-marking. However, patient-marking is not only more common, but agent-marking systems often violate expected typicality patterns. To address this asymmetry, we develop a computational model showing that it emerges naturally from the interaction of typicality biases with production costs.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Language Production</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/47h3t605</dc:identifier><dc:identifier>https://escholarship.org/content/qt47h3t605/qt47h3t605.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3rh489qr</identifier><datestamp>2026-07-31T16:16:15Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3rh489qr</dc:identifier><dc:title>Joint Modeling of Choices and Response Times in Multi-stage Decisions via Likelihood Approximation</dc:title><dc:creator>Li, Jialin</dc:creator><dc:creator>Correa, Carlos G.</dc:creator><dc:creator>Yu, Doris</dc:creator><dc:creator>Godara, Prakhar</dc:creator><dc:creator>Mattar, Marcelo G</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Planning involves a process of considering future states before acting. To understand this process, researchers typically infer planning algorithms by fitting computational models to choices. However, different planning models often predict the same choices, despite relying on different computations. Reaction time can help distinguish among models, since different computations produce different temporal signatures. However, incorporating reaction time into fitting is challenging because analytical likelihoods are typically unavailable. Here we propose a likelihood-free method to estimate the density for choices and reaction times in multi-stage decision making. We validate the method through comparisons with analytical solutions, parameter recovery, and showing robust estimates relative to distribution-free and summary statistic approaches. Through a new human experiment and fitting evidence accumulation models from Solway and Botvinick (2015), we demonstrate that modeling the full distribution is important to explain human behavior. Overall, our method is a valuable tool for modeling reaction times in multi-stage decision-making.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Symbolic computational modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3rh489qr</dc:identifier><dc:identifier>https://escholarship.org/content/qt3rh489qr/qt3rh489qr.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3h75b5kv</identifier><datestamp>2026-07-31T16:16:13Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3h75b5kv</dc:identifier><dc:title>A Heterogeneous Computational Model Reveals Temporal Hierarchy of Brain</dc:title><dc:creator>Xu, Yaru</dc:creator><dc:creator>Wei, Jing</dc:creator><dc:creator>Dong, Yanqing</dc:creator><dc:creator>Niu, Yan</dc:creator><dc:creator>Xue, Jiayue</dc:creator><dc:creator>Guo, Hao</dc:creator><dc:creator>Yang, Yanli</dc:creator><dc:creator>Zhang, Jie</dc:creator><dc:creator>Zhang, Jie</dc:creator><dc:creator>Xiang, Jie</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Brain functional activity exhibits a distinct temporal hierarchy, characterized by the increase in intrinsic neural timescale (INT) from unimodal to transmodal cortices. However, existing large-scale brain network models struggle to accurately simulate this timescale hierarchy. This study developed a heterogeneous dynamic mean-field (hDMF) model by quantifying cortical microstructural differences using T1-weighted/T2-weighted (T1w/T2w) mapping. For model training, we proposed a novel multi-objective expectation maximization (MOEM) algorithm guided by bifurcation theory to achieve precise optimization in high-dimensional parameter spaces. Results demonstrated that the hDMF model significantly outperformed traditional models in fitting functional connectivity and metastable states, while successfully reproducing the gradient distribution of INT. Further application to ADNI clinical data revealed its ability to effectively simulate the abnormally elevated INT in Alzheimer's patients. In summary, this study provides a high-fidelity computational model for understanding the spatiotemporal brain dynamics and demonstrates potential clinical application value in biomarker exploration for neurodegenerative diseases.</dc:description><dc:subject>Neuroscience</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Computational neuroscience</dc:subject><dc:subject>Dynamic Systems Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3h75b5kv</dc:identifier><dc:identifier>https://escholarship.org/content/qt3h75b5kv/qt3h75b5kv.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt49x6790w</identifier><datestamp>2026-07-31T16:15:54Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt49x6790w</dc:identifier><dc:title>Risk-Aware Metacognition: A Dual-Channel Model of Human Second-Order Confidence</dc:title><dc:creator>Ma, Qianhui</dc:creator><dc:creator>Zhu, Guoqian</dc:creator><dc:creator>Fu, Deqian</dc:creator><dc:date>2026-01-01</dc:date><dc:description>A pivotal advantage of human intelligence lies in metacognitive monitoring. This ability allows individuals to detect uncertainty in their judgments and adapt their behavior accordingly, such as deferring decision-making or seeking help. However, the computational mechanism underpinning metacognitive processing still remains incompletely characterized. We propose a risk-avoidance-based computational theory of metacognition, stating that second-order confidence is formed through an asymmetric strategy: individuals conservatively downweight potential gains while overestimating potential risks inherent in their decision outputs. We formalize this principle into a dual channel conservative confidence (DCCC) framework and instantiate it within a large language model (LLM). Evaluations across high-risk medical and legal judgment tasks demonstrate that the model's confidence signals closely align with human metacognitive profiles, including patterns in the distribution of confidence levels, patterns of error detection, and help-seeking propensities. These findings not only delineate a tractable pathway for implementing machine metacognition but also reveal a core risk-avoidance-oriented computational principle that governs human metacognition processing.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Cognitive architectures</dc:subject><dc:subject>Concepts and categories</dc:subject><dc:subject>Event cognition</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/49x6790w</dc:identifier><dc:identifier>https://escholarship.org/content/qt49x6790w/qt49x6790w.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9zc27835</identifier><datestamp>2026-07-31T16:15:20Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9zc27835</dc:identifier><dc:title>Coherence as a Norm of Evidence Sharing</dc:title><dc:creator>Justin, Martin</dc:creator><dc:creator>Trpin, Borut</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Human agents constantly exchange information, but deciding which evidence is worth transmitting is a fundamental cognitive challenge. This paper investigates "coherence" as a heuristic for regulating evidence sharing in groups. Extending previous models of individual coherence-based filtering, we employ computational simulations to analyze agents who selectively share evidence based on its coherence with their current beliefs. We find that coherence-based selective sharing is significantly more effective than individual evidence filtering. It helps preserve priors in overly noisy epistemic environments, while still allowing updating when evidence is noisy but truth-conducive. However, this strategy becomes a liability when misleading evidence forms a coherent alternative, steering group learning away from the truth. These results illuminate the conditions under which coherence-based heuristics improve or distort collective inquiry.</dc:description><dc:subject>Philosophy</dc:subject><dc:subject>Group Behaviour</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Agent-based Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9zc27835</dc:identifier><dc:identifier>https://escholarship.org/content/qt9zc27835/qt9zc27835.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3pf7k1rc</identifier><datestamp>2026-07-31T16:15:18Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3pf7k1rc</dc:identifier><dc:title>"There's the ball or the car in this cup", but look, the ball is over there: Preverbal logical inferences scaffold early comprehension of verbal disjunction</dc:title><dc:creator>Saponaro, Chiara</dc:creator><dc:creator>Fayyaz, Mahham</dc:creator><dc:creator>Pavalko, Grace M</dc:creator><dc:creator>Cesana-Arlotti, Nicolo</dc:creator><dc:date>2026-01-01</dc:date><dc:description>The relation between logical reasoning and language development is debated. We addressed this issue by focusing on disjunctive reasoning (A V B; exclude A; therefore, B) and the acquisition of the connective "or" in 3-year-old children, comparing non-verbal and linguistic contexts. In Experiment 1, children completed first a non-verbal inferential task, and then succeeded in a linguistic inferential task, using "or" to define a set of alternatives (A V B) and visual information to exclude one and infer the other (exclude A; therefore, B). In Experiment 2, children instead completed a non-inferential control task followed by the same linguistic inferential task: although they succeeded in using visual information, they failed to use "or" to identify the relevant set of alternatives. Therefore, children who had previously engaged in non-verbal disjunctive reasoning showed a better comprehension of "or". These findings suggest that preverbal inferential abilities support the early acquisition of linguistic disjunction.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Development</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Reasoning</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3pf7k1rc</dc:identifier><dc:identifier>https://escholarship.org/content/qt3pf7k1rc/qt3pf7k1rc.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2733v7rp</identifier><datestamp>2026-07-31T16:15:18Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2733v7rp</dc:identifier><dc:title>Inferring Why Someone Asked 'Why': Foil Inference in Human and LLM Question Interpretation</dc:title><dc:creator>Besch, Britt</dc:creator><dc:creator>Gerstenberg, Tobias</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Explanations are inherently contrastive: E happened rather than E' because of C rather than C'. However, these contrasts, or "foils", are rarely mentioned explicitly but have to be inferred in context. Here, we investigate how people select the intended foil E' of a why-question. Participants read vignettes and judged, for each foil, their prior expectation (what will happen next), closeness (what is most similar to what happened), and hindsight expectation (what could have happened instead), as well as which foil they thought the question asker had in mind when they asked the why-question. We found that foil selections were best predicted by hindsight expectation judgments. This suggests that people infer the foil by considering what a question asker finds surprising after the outcome occurred. Since correct foil selection is relevant not only in human-human interaction but also increasingly in dialogues with large language models, we investigated their performance on the same task. The coupling between LLMs' explicit expectation judgments and their foil selections is inconsistent.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:subject>Semantics of language</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2733v7rp</dc:identifier><dc:identifier>https://escholarship.org/content/qt2733v7rp/qt2733v7rp.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt62x0w74m</identifier><datestamp>2026-07-31T16:15:15Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt62x0w74m</dc:identifier><dc:title>A Resource-Rational Account of Rule-Based Coordination</dc:title><dc:creator>Grinfeld, Guy</dc:creator><dc:creator>Cushman, Fiery</dc:creator><dc:date>2026-01-01</dc:date><dc:description>People can coordinate by inferring a partner's intention, or by relying on a mutually recognized rule. We propose that this choice reflects adaptive allocation of cognitive effort. We tested this account in a coordination game where participants could win the most by inferring a signaled ad hoc coordination point, or less by coordinating on a consistent, mutually understood rule. We manipulated the recursive depth required for successful inference and the value of rule-based coordination. Greater demands for recursive depth, and higher rule value, drove increased rule use. Response times suggest rule-based choices arose from different processes: fast defaults when inference was less valuable, and slower retreats to the rule when inference was more valuable but too demanding. Individual-level analyses showed participants shifted toward deeper reasoning when inference was more valuable. These findings suggest that rules and intention inference are substitutable strategies governed by shared resource-rational logic.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Pragmatics</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/62x0w74m</dc:identifier><dc:identifier>https://escholarship.org/content/qt62x0w74m/qt62x0w74m.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1tn4m22z</identifier><datestamp>2026-07-31T16:15:15Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1tn4m22z</dc:identifier><dc:title>Assessing Alternative Models of Counterfactual Reasoning</dc:title><dc:creator>Rehder, Bob</dc:creator><dc:creator>Zheng, Selena</dc:creator><dc:creator>Cao, Angela</dc:creator><dc:creator>Bramley, Neil R.</dc:creator><dc:creator>Quillien, Tadeg</dc:creator><dc:date>2026-01-01</dc:date><dc:description>When reasoning about events that occur in the world, two key types of judgments are counterfactual inferences—judging how the event might have turned out differently under different conditions—and causal selection—identifying which of multiple potential causes is responsible for an effect of interest. We conducted a novel experimental test that asked subjects to make both types of judgments about a realistic situation involving probabilistic causal relations and both proximal and distal causes. We found that a new model— the Exogenous Sampler (EXS) performed as well as the leading models of these judgment types but also specified the cognitive processes via which such judgments are computed. Yet, that all models failed to predict the full range of subjects' judgments points to the need of a new generation of models accounting for how people reason about events that arise from complex probabilistic causal structures.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Causal reasoning</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Representation</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1tn4m22z</dc:identifier><dc:identifier>https://escholarship.org/content/qt1tn4m22z/qt1tn4m22z.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt341303jk</identifier><datestamp>2026-07-31T16:15:12Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt341303jk</dc:identifier><dc:title>Assessing Human-AI Teaming in Single-Pilot Operations: Effects of AI Support on Cognitive Workload and Performance</dc:title><dc:creator>Fini, Michelle</dc:creator><dc:creator>Daw, Zamira</dc:creator><dc:creator>Wirzberger, Maria</dc:creator><dc:date>2026-01-01</dc:date><dc:description>As AI-driven concepts like Single-Pilot Operations challenge traditional two-pilot operations, debates among manufacturers, pilot unions, and regulators highlight the need for empirical evidence on how AI uncertainty affects human cognition and performance. This research compares human-human and human-AI cockpit teams, focusing on workload and performance when the pilot monitoring role is assumed by AI. 34 pilots completed simulated takeoff scenarios under three conditions: a human co-pilot, a reliable AI co-pilot, and a faulty AI co-pilot. Results indicate that collaboration with reliable AI can sustain workload levels and team performance comparable to human crews, whereas faulty AI behavior corresponds to increased workload and degraded team performance. Further analyses suggest that performance degradation is linked to undetected AI errors and AI limitations. Although pilots were often able to compensate for AI shortcomings, team collaboration was adversely affected, underscoring the importance of AI reliability and transparency for safe human-AI teaming.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Human Factors</dc:subject><dc:subject>Intelligent agents</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/341303jk</dc:identifier><dc:identifier>https://escholarship.org/content/qt341303jk/qt341303jk.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9g61f3ss</identifier><datestamp>2026-07-31T16:14:58Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9g61f3ss</dc:identifier><dc:title>Effective Explanations Support Planning Under Uncertainty</dc:title><dc:creator>Zhou, Hanqi</dc:creator><dc:creator>Besch, Britt</dc:creator><dc:creator>Wu, Charley M</dc:creator><dc:creator>Gerstenberg, Tobias</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Explaining how to get from A to B can be challenging. It requires mentally simulating what the listener will do based on what they are told. To capture this process, we propose a computational model that converts utterances into action plans: a large language model translates an explanation into program-like guidance (a policy prior and value map), and a planning agent executes it under partial observability. We score explanations by the efficiency and reliability of the resulting paths, penalizing replanning. Across four preregistered experiments, we collect a corpus of 1,200 explanations over 24 maps, elicit helpfulness judgments, measure baseline navigation, and test behavior with explanations of differing quality. Higher-scored explanations are judged more helpful and improve navigation: participants with explanations outperform those without, and high-scoring explanations help more than low-scoring ones. Together, these results show procedural explanation as utility-guided communication shaped by how language can be grounded into action under uncertainty.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Instruction and teaching</dc:subject><dc:subject>Language Production</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Symbolic computational modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9g61f3ss</dc:identifier><dc:identifier>https://escholarship.org/content/qt9g61f3ss/qt9g61f3ss.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7gz1k15k</identifier><datestamp>2026-07-31T16:14:58Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7gz1k15k</dc:identifier><dc:title>It May or May Not Be Relevant: Testing the Relationship Between Relevance and Informativeness</dc:title><dc:creator>Feinmann, Diego</dc:creator><dc:creator>Ramotowska, Sonia</dc:creator><dc:date>2026-01-01</dc:date><dc:description>The dominant view in cognitive science and formal pragmatics is that relevance is a matter of informativeness: a sentence is relevant if it is informative, and irrelevant otherwise. We provide experimental evidence against this thesis. For polar questions (e.g. Is Mary coming to the party?), we constructed two kinds of uninformative replies: replies that clearly violate relevance (uninformative-off-topic condition; e.g. Mary lives in an old house) and replies that are equally uninformative yet do not intuitively incur a relevance violation, such as uncertainty or disagreement reports (target condition; e.g. Her parents disagree about that). In a within-subject study (__ = 100; 12 scenarios), participants judged both kinds of replies uninformative, but a forced-choice continuation diagnostic revealed a
sharp dissociation in perceived relevance: target replies were judged relevant 95%, versus 3% for the uninformative-off-topic condition. These results show that informativeness is not a necessary condition for relevance.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Philosophy</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Pragmatics</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7gz1k15k</dc:identifier><dc:identifier>https://escholarship.org/content/qt7gz1k15k/qt7gz1k15k.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9n7080t1</identifier><datestamp>2026-07-31T16:14:56Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9n7080t1</dc:identifier><dc:title>Learning to gesture like locals think: Spontaneous spatial gestures adapt to local norms of spatial thinking</dc:title><dc:creator>Nosrati, Shervin</dc:creator><dc:creator>Marghetis, Tyler</dc:creator><dc:date>2026-01-01</dc:date><dc:description>When thinking about space, people preferentially adopt a particular frame of reference, anchoring spatial relations either egocentrically (to their bodies) or allocentrically (to external landmarks). These preferences are often shared within a community, raising the question of how private norms for spatial thinking are made public and thus shareable. We tested whether spontaneous co-speech gesture might be one route by which these norms are expressed. Participants (N = 62) were exposed to an implicit norm to adopt a particular frame of reference when reasoning spatially. They then solved a spatial puzzle and described their solution. When participants conveyed spatial information in their gestures, they adopted either an egocentric or an allocentric frame of reference. Critically, these gestural frames of reference were congruent with the local norm. Gesture thus reflects socially learned conventions for adopting a spatial frame of reference. We discuss implications for the propagation and perpetuation of implicit cultural norms.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Spatial cognition</dc:subject><dc:subject>Gesture analysis</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9n7080t1</dc:identifier><dc:identifier>https://escholarship.org/content/qt9n7080t1/qt9n7080t1.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt92k8z0nv</identifier><datestamp>2026-07-31T16:14:55Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt92k8z0nv</dc:identifier><dc:title>Developmental Analysis of Drawing Sequences: How Young Children and Adults Organize Object Parts in Line Drawing</dc:title><dc:creator>Tian, Zijian</dc:creator><dc:creator>Kishiyama, Takeshi</dc:creator><dc:creator>Chen, Tzu-Yin</dc:creator><dc:creator>Hirose, Yuki</dc:creator><dc:creator>Makuuchi, Michiru</dc:creator><dc:date>2026-01-01</dc:date><dc:description>The drawing process (how we draw), together with its outcome (what we draw), provides valuable insights into the cognitive mechanisms and motor control underlying symbolic representation. To depict developmental changes in the drawing process, this study examined the drawing sequences of Thai-speaking adults and 4- to 5-year-olds during an object copying task. After segmenting the drawing process into discrete strokes and annotating each stroke with its corresponding object part, we extracted patterns distinguishing adults' and children's drawing sequences. Results indicated that when drawing a quadrangle part that forms the overall structure of an object (e.g., a chair's backrest), Thai adults complete it with multiple strokes, while children typically use one stroke. Moreover, when drawing objects with hierarchical structures (e.g., a tournament), most adults group parts of the same level, while young children tend to draw parts in physical proximity sequentially. This study proposes a method for analyzing developmental changes in drawing sequences and highlights key questions for future developmental research on drawing, object recognition, and symbolic representation.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Action</dc:subject><dc:subject>Cognitive development</dc:subject><dc:subject>Concepts and categories</dc:subject><dc:subject>Development</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>Perception</dc:subject><dc:subject>Representation</dc:subject><dc:subject>Vision</dc:subject><dc:subject>Developmental analysis</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/92k8z0nv</dc:identifier><dc:identifier>https://escholarship.org/content/qt92k8z0nv/qt92k8z0nv.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt355145mx</identifier><datestamp>2026-07-31T16:14:54Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt355145mx</dc:identifier><dc:title>Posting and Reposting: The Reputational Costs of Spreading False Content Online</dc:title><dc:creator>Marsili, Neri</dc:creator><dc:creator>Blond, Rocío Lana</dc:creator><dc:creator>Kneer, Markus</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Reposting has been identified as a primary conduit for misinformation spread. We hypothesize that reposting is especially conducive to misinformation because it allows the sender to spread false content while incurring lower reputational costs compared to posting. Experiment 1 (N=293) tests this hypothesis by measuring how reposting falsehoods affects reputation. It compares the effects of posting, reposting,  and verbally reporting the same false content. Sources that directly posted false content were judged significantly less reliable than sources that reposted or reported the same false content. Experiment 2 (N=256) tests robustness by replicating findings across platforms (Facebook and Twitter) and source types (private individuals rather than institutions). Original posters again suffered greater reputational damage than reposters. These results strongly support the idea that reposting comes with reduced accountability, suggesting that its reduced reputational costs might play an important role in facilitating misinformation spread on social media.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Philosophy</dc:subject><dc:subject>Pragmatics</dc:subject><dc:subject>Survey</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/355145mx</dc:identifier><dc:identifier>https://escholarship.org/content/qt355145mx/qt355145mx.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8qb0p7j7</identifier><datestamp>2026-07-31T16:04:55Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8qb0p7j7</dc:identifier><dc:title>Distributed Acoustic Sensing Using Dark Fiber for Near-Surface Characterization and Broadband Seismic Event Detection</dc:title><dc:creator>Ajo-Franklin, Jonathan B</dc:creator><dc:creator>Dou, Shan</dc:creator><dc:creator>Lindsey, Nathaniel J</dc:creator><dc:creator>Monga, Inder</dc:creator><dc:creator>Tracy, Chris</dc:creator><dc:creator>Robertson, Michelle</dc:creator><dc:creator>Rodriguez Tribaldos, Veronica</dc:creator><dc:creator>Ulrich, Craig</dc:creator><dc:creator>Freifeld, Barry</dc:creator><dc:creator>Daley, Thomas</dc:creator><dc:creator>Li, Xiaoye</dc:creator><dc:date>2019-01-01</dc:date><dc:description>We present one of the first case studies demonstrating the use of distributed acoustic sensing deployed on regional unlit fiber-optic telecommunication infrastructure (dark fiber) for broadband seismic monitoring of both near-surface soil properties and earthquake seismology. We recorded 7 months of passive seismic data on a 27 km section of dark fiber stretching from West Sacramento, CA to Woodland, CA, densely sampled at 2 m spacing. This dataset was processed to extract surface wave velocity information using ambient noise interferometry techniques; the resulting VS profiles were used to map both shallow structural profiles and groundwater depth, thus demonstrating that basin-scale variations in hydrological state could be resolved using this technique. The same array was utilized for detection of regional and teleseismic earthquakes and evaluated for long period response using records from the M8.1 Chiapas, Mexico 2017, Sep 8th event. The combination of these two sets of observations conclusively demonstrates that regionally extensive fiber-optic networks can effectively be utilized for a host of geoscience observation tasks at a combination of scale and resolution previously inaccessible.</dc:description><dc:subject>37 Earth Sciences (for-2020)</dc:subject><dc:subject>46 Information and Computing Sciences (for-2020)</dc:subject><dc:subject>3705 Geology (for-2020)</dc:subject><dc:subject>3706 Geophysics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8qb0p7j7</dc:identifier><dc:identifier>https://escholarship.org/content/qt8qb0p7j7/qt8qb0p7j7.pdf</dc:identifier><dc:identifier>info:doi/10.1038/s41598-018-36675-8</dc:identifier><dc:type>article</dc:type><dc:source>Scientific Reports, vol 9, iss 1</dc:source><dc:coverage>1328</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3384754r</identifier><datestamp>2026-07-31T16:04:55Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3384754r</dc:identifier><dc:title>The enduring effects of default focus in let alone ellipsis: Evidence from pupillometry.</dc:title><dc:creator>Harris, Jesse</dc:creator><dc:date>2023-01-27</dc:date><dc:description>The study of clausal ellipsis in sentence processing has revealed that comprehenders are sensitive to multiple, sometimes conflicting, pressures when recovering elided content. This paper presents a pupillometry experiment investigating how the human language processing system responds to sentences in which the location of a pitch accent clashes with global preferences for local correlates. The results are discussed in light of existing literature, including the Enduring Focus Principle, in which locations for default pitch accent continue to influence focus-sensitive processes regardless of overt markers of focus.</dc:description><dc:subject>Ellipsis</dc:subject><dc:subject>sentence processing</dc:subject><dc:subject>prosody</dc:subject><dc:subject>pupillometry</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3384754r</dc:identifier><dc:identifier>https://escholarship.org/content/qt3384754r/qt3384754r.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5363</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2x92r26j</identifier><datestamp>2026-07-31T16:04:55Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2x92r26j</dc:identifier><dc:title>The investigation of quantity implicatures during typical development: a systematic review</dc:title><dc:creator>Porrini, Anna Teresa</dc:creator><dc:creator>Surian, Luca</dc:creator><dc:date>2023-01-27</dc:date><dc:description>The present work is a systematic review on the acquisition of quantity implicatures in typically developing children. The references were selected through the PRISMA method. The criteria for eligibility were that the articles should be peer-reviewed, published articles written in English, containing empirical data on the comprehension of quantity implicatures in first language acquisition during typical development. The aim of this review is three-fold. First, to provide a picture of what empirical data tells us about the acquisition of quantity implicatures, based on both lexical and ad-hoc scales, potentially contributing to theoretical accounts of the phenomenon. Second, to analyze the methodologies that have been used to test children and their adequacy. And lastly to evaluate whether or not systematic review is an accurate analysis method for this type of varied and often complicated data. The results suggest that children improve in implicature derivation with age, especially with lexical scales, and that action-based tasks not based on meta-linguistic evaluations might be better suited to test these inferences, especially as opposed to Truth Value Judgment tasks. The fact that the systematic analysis confirms previously individuated trends in the acquisition of implicatures confirms that this is in fact a useful methodology to analyze the data, even with its limitations.</dc:description><dc:subject>developmental pragmatics</dc:subject><dc:subject>implicatures</dc:subject><dc:subject>quantity maxim</dc:subject><dc:subject>systematic review</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2x92r26j</dc:identifier><dc:identifier>https://escholarship.org/content/qt2x92r26j/qt2x92r26j.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5361</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6g42k90z</identifier><datestamp>2026-07-31T16:04:51Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6g42k90z</dc:identifier><dc:title>Semantics of Non-Doxastic Attitude Ascriptions from Experimental Perspective</dc:title><dc:creator>Rostworowski, Wojciech</dc:creator><dc:creator>Kuś, Katarzyna</dc:creator><dc:creator>Maƒákiewicz, Bartosz</dc:creator><dc:date>2023-01-27</dc:date><dc:description>The paper presents novel experimental data regarding reports of non-doxastic attitudes (expressed by verbs such as "wants", "fear", "is glad", and etc.) As observed by some theorists, non-doxastic attitude ascriptions differ from the ascriptions of doxastic attitudes (e.g., "believes") in that they do not support simple entailments or presuppositions of their complement clause. In particular, an ascription may intuitively change its truth-value if we alter the informational structure of the embedded clause without modifying its truth conditions. We present two experiments whose results support this observation. Experiment 1 shows that the truth-value and acceptability judgements of non-doxastic attitude ascriptions in a context generally depend on the informational structure of the embedded clause. Experiment 2 reveals that the truth-value judgements vary if we manipulate not only the "presupposition-assertion" structure of embedded clause, but also the components related to non-presuppositional entailments of the clause. This conclusion suggests that the contents on which attitude verbs operate should be represented as structured entities.</dc:description><dc:subject>attitude ascriptions</dc:subject><dc:subject>entailments</dc:subject><dc:subject>non-doxastic attitudes</dc:subject><dc:subject>presuppositions</dc:subject><dc:subject>semantics</dc:subject><dc:subject>truth-value judgements</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6g42k90z</dc:identifier><dc:identifier>https://escholarship.org/content/qt6g42k90z/qt6g42k90z.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5364</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5nv779j5</identifier><datestamp>2026-07-31T16:04:50Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5nv779j5</dc:identifier><dc:title>Detecting diversity: emerging methods to estimate species diversity</dc:title><dc:creator>Iknayan, Kelly J</dc:creator><dc:creator>Tingley, Morgan W</dc:creator><dc:creator>Furnas, Brett J</dc:creator><dc:creator>Beissinger, Steven R</dc:creator><dc:date>2014-02-01</dc:date><dc:description>Estimates of species richness and diversity are central to community and macroecology and are frequently used in conservation planning. Commonly used diversity metrics account for undetected species primarily by controlling for sampling effort. Yet the probability of detecting an individual can vary among species, observers, survey methods, and sites. We review emerging methods to estimate alpha, beta, gamma, and metacommunity diversity through hierarchical multispecies occupancy models (MSOMs) and multispecies abundance models (MSAMs) that explicitly incorporate observation error in the detection process for species or individuals. We examine advantages, limitations, and assumptions of these detection-based hierarchical models for estimating species diversity. Accounting for imperfect detection using these approaches has influenced conclusions of comparative community studies and creates new opportunities for testing theory.</dc:description><dc:subject>4101 Climate Change Impacts and Adaptation (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>3103 Ecology (for-2020)</dc:subject><dc:subject>4104 Environmental Management (for-2020)</dc:subject><dc:subject>41 Environmental Sciences (for-2020)</dc:subject><dc:subject>14 Life Below Water (sdg)</dc:subject><dc:subject>Biodiversity (mesh)</dc:subject><dc:subject>Data Collection (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Biological (mesh)</dc:subject><dc:subject>Data Collection (mesh)</dc:subject><dc:subject>Biodiversity (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Biological (mesh)</dc:subject><dc:subject>Biodiversity (mesh)</dc:subject><dc:subject>Data Collection (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Biological (mesh)</dc:subject><dc:subject>05 Environmental Sciences (for)</dc:subject><dc:subject>06 Biological Sciences (for)</dc:subject><dc:subject>Evolutionary Biology (science-metrix)</dc:subject><dc:subject>31 Biological sciences (for-2020)</dc:subject><dc:subject>41 Environmental sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5nv779j5</dc:identifier><dc:identifier>https://escholarship.org/content/qt5nv779j5/qt5nv779j5.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.tree.2013.10.012</dc:identifier><dc:type>article</dc:type><dc:source>Trends in Ecology &amp; Evolution, vol 29, iss 2</dc:source><dc:coverage>97 - 106</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3748m9mx</identifier><datestamp>2026-07-31T16:04:50Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3748m9mx</dc:identifier><dc:title>Crosslinguistic differences on the Present Perfect Puzzle: An experimental approach</dc:title><dc:creator>Fuchs, Martín</dc:creator><dc:creator>van der Klis, Martijn</dc:creator><dc:date>2023-01-27</dc:date><dc:description>In this paper, we analyze how different temporal and referential properties of past-referring adverbials—specifically, hodiernality and deixis—are partially responsible for the crosslinguistic distribution of PAST and PERFECT markers across Dutch, Spanish, and English. To that end, we conducted an acceptability judgment task, where 160 subjects per language rated context-sentence pairs that display either a PAST or a PERFECT marker, and a temporal adverbial that is: (i) either temporally close to or temporally far from the speech time, and (ii), either deictic or not deictic. Results show that: (a) Dutch allows for its PERFECT marker to combine with any past-referring temporal adverbial, (b) Spanish only allows its PERFECT marker to combine with adverbials that locate the event temporally close to speech time, regardless of deixis, and (iii) that English prefers its PAST marker in all past-referring situations, but allows its PERFECT to combine with adverbials that are both deictic and temporally close to speech time, particularly when the adverb specifies an interval that is included in the day of utterance (e.g., this morning), as opposed to adverbs that describe an interval that includes it (e.g., this month).</dc:description><dc:subject>Perfect</dc:subject><dc:subject>Past</dc:subject><dc:subject>grammatical aspect</dc:subject><dc:subject>temporal adverbials</dc:subject><dc:subject>deixis</dc:subject><dc:subject>hodiernality</dc:subject><dc:subject>acceptability judgments</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3748m9mx</dc:identifier><dc:identifier>https://escholarship.org/content/qt3748m9mx/qt3748m9mx.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5366</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7ss5r9mz</identifier><datestamp>2026-07-31T16:04:47Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7ss5r9mz</dc:identifier><dc:title>Five degrees of (non)sense: Investigating the connection between bullshit receptivity and susceptibility to semantic illusions</dc:title><dc:creator>Paape, Dario</dc:creator><dc:date>2023-01-27</dc:date><dc:description>Individual differences in people's tendency to see bullshit statements such as Perceptual reality transcends subtle truth as meaningful and possibly profound have become an active topic of research in judgment and decision making in recent years. However, (psycho)linguistics has so far paid little attention to the topic, despite its obvious appeal for language processing research. I present an experiment that investigated possible shared traits contributing to individual bullshit receptivity and susceptibility to semantic illusions, which occur when compositionally incongruous sentences receive plausible but unlicensed interpretations (e.g., More people have been to Russia than I have). The results show relatively little indication of an individual-level tendency to both fall for bullshit and for linguistic illusions. Implications for future psycholinguistic research into bullshit processing are discussed.</dc:description><dc:subject>bullshit</dc:subject><dc:subject>semantic illusion</dc:subject><dc:subject>experimental semantics</dc:subject><dc:subject>individual differences</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7ss5r9mz</dc:identifier><dc:identifier>https://escholarship.org/content/qt7ss5r9mz/qt7ss5r9mz.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5369</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2tb5m7p6</identifier><datestamp>2026-07-31T16:04:46Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2tb5m7p6</dc:identifier><dc:title>When Transformer models are more compositional than humans: The case of the depth charge illusion</dc:title><dc:creator>Paape, Dario</dc:creator><dc:date>2023-01-27</dc:date><dc:description>State-of-the-art Transformer-based language models like GPT-3 are very good at generating syntactically well-formed and semantically plausible text. However, it is unclear to what extent these models encode the compositional rules of human language and to what extent their impressive performance is due to the use of relatively shallow heuristics, which have also been argued to be a factor in human language processing. One example is the so-called depth charge illusion, which occurs when a semantically complex, incongruous sentence like No head injury is too trivial to be ignored is assigned a plausible but not compositionally licensed meaning (Don't ignore head injuries, even if they appear to be trivial). I present an experiment that investigated how depth charge sentences are processed by Transformer models, which are free of many human performance bottlenecks. The results are mixed: Transformers do show evidence of non-compositionality in depth charge contexts, but also appear to be more compositional than humans in some respects.</dc:description><dc:subject>Transformer</dc:subject><dc:subject>language model</dc:subject><dc:subject>depth charge illusion</dc:subject><dc:subject>compositionality</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2tb5m7p6</dc:identifier><dc:identifier>https://escholarship.org/content/qt2tb5m7p6/qt2tb5m7p6.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5370</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6jx8c5k8</identifier><datestamp>2026-07-31T16:04:43Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6jx8c5k8</dc:identifier><dc:title>Tracking the activation of scalar alternatives with semantic priming</dc:title><dc:creator>Ronai, Eszter</dc:creator><dc:creator>Xiang, Ming</dc:creator><dc:date>2023-01-27</dc:date><dc:description>From an utterance of Mary ate some of the deep dish, hearers frequently infer that Mary didn't eat all of the deep dish. Similarly, an utterance of The movie is good might lead hearers to conclude that the movie isn't excellent. These inferences are instances of scalar implicature (SI). The standard assumption is that SI arises via hearers' reasoning about alternative utterances that the speaker could have said, but did not. In particular, hearers are taken to consider stronger alternatives such as all (or Mary ate all of the deep dish) and excellent (or The movie is excellent) and derive their negation. In this study, we investigate the psycholinguistic reflexes of this inferential process. We use semantic priming with lexical decision to test whether lexical alternatives such as all and excellent are retrieved and activated in the processing of SI-triggering sentences. The results of our experiments indeed suggest that alternatives play a role in the processing of SI, though a number of empirical puzzles remain.</dc:description><dc:subject>pragmatics</dc:subject><dc:subject>scalar implicature</dc:subject><dc:subject>alternatives</dc:subject><dc:subject>semantic priming</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6jx8c5k8</dc:identifier><dc:identifier>https://escholarship.org/content/qt6jx8c5k8/qt6jx8c5k8.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5371</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3317x44w</identifier><datestamp>2026-07-31T16:04:43Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3317x44w</dc:identifier><dc:title>You must worry! The interpretation of mustn't varies with context and verbal complement</dc:title><dc:creator>Bleotu, Adina Camelia</dc:creator><dc:creator>Benz, Anton</dc:creator><dc:creator>Pǎtrunjel, Roxana</dc:creator><dc:date>2023-01-27</dc:date><dc:description>We investigate experimentally whether American English adult speakers are influenced in their interpretation of mustn't by pragmatic context (contexts favoring lack of necessity/necessity not to readings) and/or the semantic properties of the verbal complements of the modal (verbs denoting events in the physical realm vs. verbs expressing undesirable mental activities). In an experiment combining a forced choice task and a gradient acceptability task, participants saw sentences containing mustn't and physical events/negative mental activities in lack of necessity/necessity not to contexts (e.g., You mustn't worry. The woman will give you money) They had to choose the most suitable interpretation of mustn't ('it is necessary not to'/'it is not necessary' interpretations). They then had to rate the acceptability of the sentences containing mustn't in context on a Likert scale from 1 to 7. We find that participants split into two groups: an Interdiction Group, which always treated mustn't as expressing interdiction, and a Variation Group, which tended to interpret mustn't as lack of necessity when the context favored such a reading and when the verbal complement the modal combined with was a negative mental activity. We argue that the lack of necessity reading of mustn't is obtained via pragmatic weakening from its primary interdiction reading, and that this process is sensitive to context, as well as to the cognitive difficulty of imposing or forbidding mental (but not physical) activities to others.</dc:description><dc:subject>American English</dc:subject><dc:subject>deontic modality</dc:subject><dc:subject>deontic necessity</dc:subject><dc:subject>negation</dc:subject><dc:subject>interdiction</dc:subject><dc:subject>context-sensitivity</dc:subject><dc:subject>mental activities</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3317x44w</dc:identifier><dc:identifier>https://escholarship.org/content/qt3317x44w/qt3317x44w.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5372</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4bs3p4k9</identifier><datestamp>2026-07-31T16:04:40Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4bs3p4k9</dc:identifier><dc:title>Search for Quantum Black Hole Production in High-Invariant-Mass Lepton+Jet Final States Using pp Collisions at s=8 TeV and the ATLAS Detector</dc:title><dc:creator>Aad, G</dc:creator><dc:creator>Abajyan, T</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abdallah, J</dc:creator><dc:creator>Khalek, S Abdel</dc:creator><dc:creator>Abdinov, O</dc:creator><dc:creator>Aben, R</dc:creator><dc:creator>Abi, B</dc:creator><dc:creator>Abolins, M</dc:creator><dc:creator>AbouZeid, OS</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adams, DL</dc:creator><dc:creator>Addy, TN</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adomeit, S</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Aefsky, S</dc:creator><dc:creator>Agatonovic-Jovin, T</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Agustoni, M</dc:creator><dc:creator>Ahlen, SP</dc:creator><dc:creator>Ahmad, A</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akimoto, G</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Alam, MA</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Albrand, S</dc:creator><dc:creator>Verzini, MJ Alconada</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexander, G</dc:creator><dc:creator>Alexandre, G</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Alio, L</dc:creator><dc:creator>Alison, J</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allison, LJ</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Allwood-Spiers, SE</dc:creator><dc:creator>Almond, J</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alon, R</dc:creator><dc:creator>Alonso, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Altheimer, A</dc:creator><dc:creator>Gonzalez, B Alvarez</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Amako, K</dc:creator><dc:creator>Coutinho, Y Amaral</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Ammosov, VV</dc:creator><dc:creator>Dos Santos, SP Amor</dc:creator><dc:creator>Amorim, A</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Amram, N</dc:creator><dc:creator>Amundsen, G</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Ancu, LS</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, G</dc:creator><dc:creator>Anderson, KJ</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Anduaga, XS</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Anger, P</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anghinolfi, F</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Anjos, N</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antonaki, A</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antonov, A</dc:creator><dc:creator>Antos, J</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Bella, L Aperio</dc:creator><dc:creator>Apolle, R</dc:creator><dc:creator>Arabidze, G</dc:creator><dc:creator>Aracena, I</dc:creator><dc:creator>Arai, Y</dc:creator><dc:creator>Arce, ATH</dc:creator><dc:creator>Arguin, J-F</dc:creator><dc:creator>Argyropoulos, S</dc:creator><dc:creator>Arik, E</dc:creator><dc:creator>Arik, M</dc:creator><dc:creator>Armbruster, AJ</dc:creator><dc:date>2014-03-07</dc:date><dc:description>This Letter presents a search for quantum black-hole production using 20.3 fb-1 of data collected with the ATLAS detector in pp collisions at the LHC at √s = 8 TeV. The quantum black holes are assumed to decay into a final state characterized by a lepton (electron or muon) and a jet. In either channel, no event with a lepton-jet invariant mass of 3.5 TeV or more is observed, consistent with the expected background. Limits are set on the product of cross sections and branching fractions for the lepton+jet final states of quantum black holes produced in a search region for invariant masses above 1 TeV. The combined 95% confidence level upper limit on this product for quantum black holes with threshold mass above 3.5 TeV is 0.18 fb. This limit constrains the threshold quantum black-hole mass to be above 5.3 TeV in the model considered.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>4902 Mathematical Physics (for-2020)</dc:subject><dc:subject>49 Mathematical Sciences (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>Electrons (mesh)</dc:subject><dc:subject>Elementary Particles (mesh)</dc:subject><dc:subject>Mesons (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Theoretical (mesh)</dc:subject><dc:subject>Quantum Theory (mesh)</dc:subject><dc:subject>ATLAS Collaboration</dc:subject><dc:subject>Elementary Particles (mesh)</dc:subject><dc:subject>Electrons (mesh)</dc:subject><dc:subject>Mesons (mesh)</dc:subject><dc:subject>Quantum Theory (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Theoretical (mesh)</dc:subject><dc:subject>Electrons (mesh)</dc:subject><dc:subject>Elementary Particles (mesh)</dc:subject><dc:subject>Mesons (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Theoretical (mesh)</dc:subject><dc:subject>Quantum Theory (mesh)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>01 Mathematical Sciences (for)</dc:subject><dc:subject>02 Physical Sciences (for)</dc:subject><dc:subject>09 Engineering (for)</dc:subject><dc:subject>General Physics (science-metrix)</dc:subject><dc:subject>40 Engineering (for-2020)</dc:subject><dc:subject>49 Mathematical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4bs3p4k9</dc:identifier><dc:identifier>https://escholarship.org/content/qt4bs3p4k9/qt4bs3p4k9.pdf</dc:identifier><dc:identifier>info:doi/10.1103/physrevlett.112.091804</dc:identifier><dc:type>article</dc:type><dc:source>Physical Review Letters, vol 112, iss 9</dc:source><dc:coverage>091804</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8861z7sq</identifier><datestamp>2026-07-31T16:04:33Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8861z7sq</dc:identifier><dc:title>Corpus evidence for the role of world knowledge in ambiguity reduction: Using high positive expectations to inform quantifier scope</dc:title><dc:creator>Attali, Noa</dc:creator><dc:creator>Pearl, Lisa S.</dc:creator><dc:creator>Scontras, Gregory</dc:creator><dc:date>2023-01-27</dc:date><dc:description>Every-negation utterances (e.g., Every vote doesn't count) are ambiguous between a surface scope interpretation (e.g., No vote counts) and an inverse scope interpretation (e.g., Not all votes count). Investigations into the interpretation of these utterances have found variation: child and adult interpretations diverge (e.g., Musolino 1999) and adult interpretations of specific constructions show considerable disagreement (Carden 1973, Heringer 1970, Attali et al. 2021). Can we concretely identify factors to explain some of this variation and predict tendencies in individual interpretations? Here we show that a type of expectation about the world (which we call a high positive expectation), which can surface in the linguistic contexts of every-negation utterances, predicts experimental preferences for the inverse scope interpretation of different every-negation utterances. These findings suggest that (1) world knowledge, as set up in a linguistic context, helps to effectively reduce the ambiguity of potentiallyambiguous utterances for listeners, and (2) given that high positive expectations are a kind of affirmative context, negation use is felicitous in affirmative contexts (e.g., Wason 1961).</dc:description><dc:subject>scope ambiguity</dc:subject><dc:subject>universal quantifiers</dc:subject><dc:subject>negation</dc:subject><dc:subject>pragmatics</dc:subject><dc:subject>computational models</dc:subject><dc:subject>corpus linguistics</dc:subject><dc:subject>psycholinguistics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8861z7sq</dc:identifier><dc:identifier>https://escholarship.org/content/qt8861z7sq/qt8861z7sq.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5376</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt21m9840m</identifier><datestamp>2026-07-31T16:04:33Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt21m9840m</dc:identifier><dc:title>The role of relevance, competence, and priors for scalar inferences</dc:title><dc:creator>Tsvilodub, Polina</dc:creator><dc:creator>van Tiel, Bob</dc:creator><dc:creator>Franke, Michael</dc:creator><dc:date>2023-01-27</dc:date><dc:description>Although it is often assumed that the natural language expressions 'some' and 'or' are interpreted according to their first-order logic counterparts, in certain contexts, they receive a narrower interpretation: 'some' is strengthened to 'some, but not all', and 'or' to 'A or B, but not both'. This process is typically explained as an instance of scalar inference. To test this scalar implicature hypothesis, we collect experimental evidence for the effects and interactions of three factors that should affect the robustness of the scalar inferences of 'some' and 'or': the relevance of the stronger alternative, the speaker's competence about the alternative, and the prior probability that the alternative is true. We find that the interpretation of both triggers was affected by speaker competence, but only 'some' was also affected by prior probability, while relevance did not affect either trigger. Ultimately, our results suggest that the interdependence of the three factors is more complex than just the sum of their effects.</dc:description><dc:subject>scalar inference</dc:subject><dc:subject>relevance</dc:subject><dc:subject>competence</dc:subject><dc:subject>prior probability</dc:subject><dc:subject>disjunction</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/21m9840m</dc:identifier><dc:identifier>https://escholarship.org/content/qt21m9840m/qt21m9840m.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5375</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt06h2z75k</identifier><datestamp>2026-07-31T16:04:31Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt06h2z75k</dc:identifier><dc:title>Nonboolean Conditionals</dc:title><dc:creator>Santorio, Paolo</dc:creator><dc:creator>Wellwood, Alexis</dc:creator><dc:date>2023-01-27</dc:date><dc:description>On standard analyses, indicative conditionals behave in a Boolean fashion when interacting with and and or. We test this prediction by investigating probability judgments about sentences of the form "If A, then B {and, or} if C, then D". Our findings are incompatible with a Boolean picture. This is challenging for standard analyses of ICs, as well as for several nonclassical analyses. Some trivalent theories, conversely, may account for the data.</dc:description><dc:subject>Indicative conditionals</dc:subject><dc:subject>connectives</dc:subject><dc:subject>probability</dc:subject><dc:subject>likelihood estimation</dc:subject><dc:subject>trivalence</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/06h2z75k</dc:identifier><dc:identifier>https://escholarship.org/content/qt06h2z75k/qt06h2z75k.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5377</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8s2657fm</identifier><datestamp>2026-07-31T16:04:28Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8s2657fm</dc:identifier><dc:title>Modeling the Role of Polysemy in Verb Categorization</dc:title><dc:creator>Soper, Elizabeth</dc:creator><dc:creator>Koenig, Jean-Pierre</dc:creator><dc:date>2023-01-27</dc:date><dc:description>Recent work has indicated that static word embeddings can predict human semantic categories (Majewska et al. 2021). In this paper, we consider the role of polysemy in semantic categorization, by comparing sense-level embeddings with previously studied static embeddings in their prediction of human-produced categories. We find that the polysemy is crucial for predicting human categories; sense-level embeddings dramatically outperform static embeddings in predicting semantic categories. Our findings highlight the role of polysemy in semantic categorization that is exclusively based on linguistic input.</dc:description><dc:subject>distributional semantics</dc:subject><dc:subject>polysemy</dc:subject><dc:subject>categorization</dc:subject><dc:subject>natural language processing</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8s2657fm</dc:identifier><dc:identifier>https://escholarship.org/content/qt8s2657fm/qt8s2657fm.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5379</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt09c834sj</identifier><datestamp>2026-07-31T16:04:26Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt09c834sj</dc:identifier><dc:title>Effects of instruction on semantic and pragmatic judgment tasks</dc:title><dc:creator>Zhu, Ziling</dc:creator><dc:creator>Ahn, Dorothy</dc:creator><dc:date>2023-01-27</dc:date><dc:description>Sentence judgment tasks are used often in linguistics studies. However, there is no consensus on how significant the effect of instruction is in such tasks: some argue that instruction is trivial, while others argue that they affect the way participants respond. In this study, we investigate different keywords used in sentence judgment tasks and determine which keyword best teases apart speakers' response to semantically and pragmatically licit and illicit sentences. We test this in English and Mandarin, exploring the possibility of cross-linguistic variation on how speakers respond to different keywords. Our results show that the common keywords used in semantic and pragmatic judgment tasks such as 'natural' do distinguish semantic and pragmatic violations for English speakers, but that the common Mandarin translations of these words fail to distinguish between the two types of violations. Our results highlight the need for language- and study-specific norming procedures in sentence judgment tasks.</dc:description><dc:subject>sentence judgment tasks</dc:subject><dc:subject>instruction type</dc:subject><dc:subject>semantics</dc:subject><dc:subject>pragmatics</dc:subject><dc:subject>psycholinguistics</dc:subject><dc:subject>cross-linguistic variation</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/09c834sj</dc:identifier><dc:identifier>https://escholarship.org/content/qt09c834sj/qt09c834sj.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5380</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3qc5r372</identifier><datestamp>2026-07-31T16:04:17Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3qc5r372</dc:identifier><dc:title>Accuracy of visual inspection with acetic acid to detect cervical cancer precursors among HIV‐infected women in Kenya</dc:title><dc:creator>Huchko, Megan J</dc:creator><dc:creator>Sneden, Jennifer</dc:creator><dc:creator>Sawaya, George</dc:creator><dc:creator>Smith-McCune, Karen</dc:creator><dc:creator>Maloba, May</dc:creator><dc:creator>Abdulrahim, Naila</dc:creator><dc:creator>Bukusi, Elizabeth A</dc:creator><dc:creator>Cohen, Craig R</dc:creator><dc:date>2015-01-15</dc:date><dc:description>Visual inspection with acetic acid (VIA) is becoming a more widely recommended and implemented screening tool for cervical cancer prevention programs in low-resource settings. Many of these settings have a high prevalence of HIV-infected women. We carried out a cross-sectional validation study to define the sensitivity, specificity and predictive values of VIA among HIV-infected women. Women enrolled in HIV care at the Family AIDS Care and Education Services clinic in Kisumu, Kenya, were recruited for participation. All participants underwent VIA followed by colposcopy performed by a second blinded clinician. At colposcopy, lesions suspicious for cervical intraepithelial neoplasia 2 or greater (CIN2+) were biopsied. Disease status was determined by final histopathologic diagnosis in women who underwent biopsies. A satisfactory colposcopy with no lesions was considered a negative result. From October 2010 to June 2012, 1,432 women underwent VIA and colposcopy. A total of 514 (35.7%) women had a positive VIA, and 179 (12.2%) had CIN2+ confirmed by colposcopically directed biopsy. Sensitivity, specificity, positive and negative predictive values of VIA for CIN2+ were 86.6, 71.6, 30.3 and 97.4%, respectively. Specificity, but not sensitivity, increased with older age. Among older women, sensitivity was affected by CD4+ count and use of antiretroviral therapy. Although they are impacted by age and immune status, test characteristics for VIA among HIV-infected women are similar to what has been reported for general populations. Recommendations to use VIA as a screening tool should not vary by HIV status.</dc:description><dc:subject>3215 Reproductive Medicine (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3202 Clinical Sciences (for-2020)</dc:subject><dc:subject>Health Services (rcdc)</dc:subject><dc:subject>Cervical Cancer (rcdc)</dc:subject><dc:subject>Cancer (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>HIV/AIDS (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Infectious Diseases (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>4.2 Evaluation of markers and technologies (hrcs-rac)</dc:subject><dc:subject>Infection (hrcs-hc)</dc:subject><dc:subject>Acetic Acid (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Cervix Uteri (mesh)</dc:subject><dc:subject>Colposcopy (mesh)</dc:subject><dc:subject>Cross-Sectional Studies (mesh)</dc:subject><dc:subject>Cytological Techniques (mesh)</dc:subject><dc:subject>Early Detection of Cancer (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Follow-Up Studies (mesh)</dc:subject><dc:subject>HIV (mesh)</dc:subject><dc:subject>HIV Infections (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Kenya (mesh)</dc:subject><dc:subject>Precancerous Conditions (mesh)</dc:subject><dc:subject>Predictive Value of Tests (mesh)</dc:subject><dc:subject>Prevalence (mesh)</dc:subject><dc:subject>Prognosis (mesh)</dc:subject><dc:subject>Sensitivity and Specificity (mesh)</dc:subject><dc:subject>Uterine Cervical Neoplasms (mesh)</dc:subject><dc:subject>Uterine Cervical Dysplasia (mesh)</dc:subject><dc:subject>visual inspection with acetic acid</dc:subject><dc:subject>HIV infection</dc:subject><dc:subject>Kenya</dc:subject><dc:subject>cervical cancer screening</dc:subject><dc:subject>Cervix Uteri (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>HIV (mesh)</dc:subject><dc:subject>HIV Infections (mesh)</dc:subject><dc:subject>Precancerous Conditions (mesh)</dc:subject><dc:subject>Acetic Acid (mesh)</dc:subject><dc:subject>Colposcopy (mesh)</dc:subject><dc:subject>Prognosis (mesh)</dc:subject><dc:subject>Cytological Techniques (mesh)</dc:subject><dc:subject>Prevalence (mesh)</dc:subject><dc:subject>Sensitivity and Specificity (mesh)</dc:subject><dc:subject>Follow-Up Studies (mesh)</dc:subject><dc:subject>Cross-Sectional Studies (mesh)</dc:subject><dc:subject>Predictive Value of Tests (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Kenya (mesh)</dc:subject><dc:subject>Uterine Cervical Dysplasia (mesh)</dc:subject><dc:subject>Uterine Cervical Neoplasms (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Early Detection of Cancer (mesh)</dc:subject><dc:subject>HIV infection</dc:subject><dc:subject>Kenya</dc:subject><dc:subject>cervical cancer screening</dc:subject><dc:subject>visual inspection with acetic acid</dc:subject><dc:subject>Acetic Acid (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Cervix Uteri (mesh)</dc:subject><dc:subject>Colposcopy (mesh)</dc:subject><dc:subject>Cross-Sectional Studies (mesh)</dc:subject><dc:subject>Cytological Techniques (mesh)</dc:subject><dc:subject>Early Detection of Cancer (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Follow-Up Studies (mesh)</dc:subject><dc:subject>HIV (mesh)</dc:subject><dc:subject>HIV Infections (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Kenya (mesh)</dc:subject><dc:subject>Precancerous Conditions (mesh)</dc:subject><dc:subject>Predictive Value of Tests (mesh)</dc:subject><dc:subject>Prevalence (mesh)</dc:subject><dc:subject>Prognosis (mesh)</dc:subject><dc:subject>Sensitivity and Specificity (mesh)</dc:subject><dc:subject>Uterine Cervical Neoplasms (mesh)</dc:subject><dc:subject>Uterine Cervical Dysplasia (mesh)</dc:subject><dc:subject>1112 Oncology and Carcinogenesis (for)</dc:subject><dc:subject>Oncology &amp; Carcinogenesis (science-metrix)</dc:subject><dc:subject>3211 Oncology and carcinogenesis (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3qc5r372</dc:identifier><dc:identifier>https://escholarship.org/content/qt3qc5r372/qt3qc5r372.pdf</dc:identifier><dc:identifier>info:doi/10.1002/ijc.28996</dc:identifier><dc:type>article</dc:type><dc:source>International Journal of Cancer, vol 136, iss 2</dc:source><dc:coverage>392 - 398</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1d80f78c</identifier><datestamp>2026-07-31T16:04:03Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1d80f78c</dc:identifier><dc:title>Default biases in the interpretation of English negation, conjunction, and disjunction</dc:title><dc:creator>Jasbi, Masoud</dc:creator><dc:creator>Bermudez, Natalia</dc:creator><dc:creator>Davidson, Kathryn</dc:creator><dc:date>2023-01-27</dc:date><dc:description>Previous research has hypothesized default interpretive biases for three types of ambiguities with English logical words and, or, and not. First, disjunction (A or B) is hypothesized to be biased towards an exclusive interpretation in upward-entailing environments and an inclusive interpretation in downward-entailing environments (Levinson 2000, Chierchia 2004, Breheny et al. 2005). A negated disjunction (not A or B) is claimed to be biased towards a "neither-nor" interpretation (i.e. wide scope negation: ¬[A ^ B]) and a negated conjunction is said to be biased towards an "either-not" interpretation (i.e. wide-scope negation: ¬[A ^ B]) (Szabolcsi 2002, Szabolcsi &amp;amp; Haddican 2004). We tested these hypotheses within the same experimental paradigm with 149 English-speaking participants and found disjunction to be biased towards an inclusive interpretation across three different entailment environments: episodic declaratives, questions, and conditional antecedents. Our results also confirmed that English negated disjunction is biased towards a "neither-nor" (wide scope negation) interpretation but the results did not show an "either-not" bias (wide scope negation) for negated conjunction.</dc:description><dc:subject>implicature</dc:subject><dc:subject>disjunction</dc:subject><dc:subject>conjunction</dc:subject><dc:subject>negation</dc:subject><dc:subject>scope</dc:subject><dc:subject>psycholinguistics</dc:subject><dc:subject>semantics</dc:subject><dc:subject>pragmatics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1d80f78c</dc:identifier><dc:identifier>https://escholarship.org/content/qt1d80f78c/qt1d80f78c.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5382</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9q25013b</identifier><datestamp>2026-07-31T16:01:27Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9q25013b</dc:identifier><dc:title>Correlation analysis of genetic admixture and social identification with body mass index in a Native American Community</dc:title><dc:creator>Norden-Krichmar, Trina M</dc:creator><dc:creator>Gizer, Ian R</dc:creator><dc:creator>Libiger, Ondrej</dc:creator><dc:creator>Wilhelmsen, Kirk C</dc:creator><dc:creator>Ehlers, Cindy L</dc:creator><dc:creator>Schork, Nicholas J</dc:creator><dc:date>2014-05-01</dc:date><dc:description>OBJECTIVES: Body mass index (BMI) is a well-known measure of obesity with a multitude of genetic and non-genetic determinants. Identifying the underlying factors associated with BMI is difficult because of its multifactorial etiology that varies as a function of geoethnic background and socioeconomic setting. Thus, we pursued a study exploring the influence of the degree of Native American admixture on BMI (as well as weight and height individually) in a community sample of Native Americans (n = 846) while accommodating a variety of socioeconomic and cultural factors.
METHODS: Participants' degree of Native American (NA) ancestry was estimated using a genome-wide panel of markers. The participants also completed an extensive survey of cultural and social identity measures: the Indian Culture Scale (ICS) and the Orthogonal Cultural Identification Scale (OCIS). Multiple linear regression was used to examine the relation between these measures and BMI.
RESULTS: Our results suggest that BMI is correlated positively with the proportion of NA ancestry. Age was also significantly associated with BMI, while gender and socioeconomic measures (education and income) were not. For the two cultural identity measures, the ICS showed a positive correlation with BMI, while OCIS was not associated with BMI.
CONCLUSIONS: Taken together, these results suggest that genetic and cultural environmental factors, rather than socioeconomic factors, account for a substantial proportion of variation in BMI in this population. Further, significant correlations between degree of NA ancestry and BMI suggest that admixture mapping may be appropriate to identify loci associated with BMI in this population.</dc:description><dc:subject>4401 Anthropology (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3210 Nutrition and Dietetics (for-2020)</dc:subject><dc:subject>44 Human Society (for-2020)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>American Indian or Alaska Native (rcdc)</dc:subject><dc:subject>Nutrition (rcdc)</dc:subject><dc:subject>Human Genome (rcdc)</dc:subject><dc:subject>Genetics (rcdc)</dc:subject><dc:subject>Basic Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Obesity (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Age Factors (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Aged</dc:subject><dc:subject>80 and over (mesh)</dc:subject><dc:subject>Body Height (mesh)</dc:subject><dc:subject>Body Mass Index (mesh)</dc:subject><dc:subject>Body Weight (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Genetic Markers (mesh)</dc:subject><dc:subject>Genome-Wide Association Study (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Indians</dc:subject><dc:subject>North American (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>North America (mesh)</dc:subject><dc:subject>Pedigree (mesh)</dc:subject><dc:subject>Regression Analysis (mesh)</dc:subject><dc:subject>Social Identification (mesh)</dc:subject><dc:subject>Socioeconomic Factors (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Body Weight (mesh)</dc:subject><dc:subject>Genetic Markers (mesh)</dc:subject><dc:subject>Body Mass Index (mesh)</dc:subject><dc:subject>Body Height (mesh)</dc:subject><dc:subject>Regression Analysis (mesh)</dc:subject><dc:subject>Pedigree (mesh)</dc:subject><dc:subject>Social Identification (mesh)</dc:subject><dc:subject>Age Factors (mesh)</dc:subject><dc:subject>Socioeconomic Factors (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Aged</dc:subject><dc:subject>80 and over (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Indians</dc:subject><dc:subject>North American (mesh)</dc:subject><dc:subject>North America (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Genome-Wide Association Study (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Age Factors (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Aged</dc:subject><dc:subject>80 and over (mesh)</dc:subject><dc:subject>Body Height (mesh)</dc:subject><dc:subject>Body Mass Index (mesh)</dc:subject><dc:subject>Body Weight (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Genetic Markers (mesh)</dc:subject><dc:subject>Genome-Wide Association Study (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Indians</dc:subject><dc:subject>North American (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>North America (mesh)</dc:subject><dc:subject>Pedigree (mesh)</dc:subject><dc:subject>Regression Analysis (mesh)</dc:subject><dc:subject>Social Identification (mesh)</dc:subject><dc:subject>Socioeconomic Factors (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>0603 Evolutionary Biology (for)</dc:subject><dc:subject>1111 Nutrition and Dietetics (for)</dc:subject><dc:subject>1601 Anthropology (for)</dc:subject><dc:subject>Evolutionary Biology (science-metrix)</dc:subject><dc:subject>3210 Nutrition and dietetics (for-2020)</dc:subject><dc:subject>4401 Anthropology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9q25013b</dc:identifier><dc:identifier>https://escholarship.org/content/qt9q25013b/qt9q25013b.pdf</dc:identifier><dc:identifier>info:doi/10.1002/ajhb.22521</dc:identifier><dc:type>article</dc:type><dc:source>American Journal of Human Biology, vol 26, iss 3</dc:source><dc:coverage>347 - 360</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5bf0v924</identifier><datestamp>2026-07-31T15:58:59Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5bf0v924</dc:identifier><dc:title>Investigating a shared mechanism in the priming of manner and quantity implicature</dc:title><dc:creator>Cowan, Joe</dc:creator><dc:creator>Katsos, Napoleon</dc:creator><dc:date>2023-01-27</dc:date><dc:description>In the current paper, we investigate the existence of a shared derivation mechanism between manner and quantity implicature. As per the Gricean-inspired perspective, both manner and quantity implicature are derived in a substantially analogous fashion, relying on the consideration of alternative ways in which the speaker could have spoken, but didn't. In contrast, other accounts (e.g., grammatical accounts) of quantity implicature consider manner implicature and quantity implicature to be distinct in their derivational mechanisms.Previous studies have found that quantity implicature can prime the derivation of subsequent quantity implicature both within and between quantity implicature subtypes in a structural priming paradigm, suggesting that ad hoc, numeral and some quantity implicature are governed by the same derivational mechanism. We have applied a structural priming paradigm to the case of manner implicature to investigate 1) whether manner implicature can be primed, 2) whether manner implicature can prime manner implicature and 3) whether manner implicature can be primed by quantity implicature. Through manner-manner priming, the paper addresses the psycholinguistic reality of manner. While quantity-manner priming probes the existence of a shared derivational mechanism between the phenomena.We show that manner implicature can prime manner implicature under certain experimental circumstances and that ad hoc quantity, but not some quantity implicature can also prime manner implicature, whereas some quantity implicature cannot.</dc:description><dc:subject>Manner implicature</dc:subject><dc:subject>quantity implicature</dc:subject><dc:subject>scalar implicature</dc:subject><dc:subject>priming</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5bf0v924</dc:identifier><dc:identifier>https://escholarship.org/content/qt5bf0v924/qt5bf0v924.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5383</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8dg4t8n3</identifier><datestamp>2026-07-31T15:58:55Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8dg4t8n3</dc:identifier><dc:title>Beyond Surprising: English Event Structure in the Maze</dc:title><dc:creator>Levinson, Lisa</dc:creator><dc:date>2023-01-27</dc:date><dc:description>To what extent can we tease apart semantic representations and processes from other influences on processing such as probabilistic prediction? In this paper I detail two experiments testing the hypothesis that there are semantic complexity in the lexical representations of result verbs that influences reaction times above and beyond probabilistic distributions. This is done by replicating a self-paced reading study from Levinson &amp;amp; Brennan (2016) while also modelling lexical surprisal. Experiment 1 replicates the original result, but only in experiment 2 using the maze task does the effect emerge beyond surprisals. The more focal maze task results suggest that processing costs associated with bieventive result verbs should be accounted for by grammatical factors, in addition to probabilistic prediction.</dc:description><dc:subject>events</dc:subject><dc:subject>semantics</dc:subject><dc:subject>surprisal</dc:subject><dc:subject>event structure</dc:subject><dc:subject>verbs</dc:subject><dc:subject>maze task</dc:subject><dc:subject>self-paced reading</dc:subject><dc:subject>psycholinguistics</dc:subject><dc:subject>prediction</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8dg4t8n3</dc:identifier><dc:identifier>https://escholarship.org/content/qt8dg4t8n3/qt8dg4t8n3.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5384</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt86s8r161</identifier><datestamp>2026-07-31T15:58:52Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt86s8r161</dc:identifier><dc:title>Informational content vs. discourse orientation: experimental and computational perspectives</dc:title><dc:creator>Winterstein, Grégoire</dc:creator><dc:creator>Cantin-Savoie, Ghyslain</dc:creator><dc:creator>Laperle, Samuel</dc:creator><dc:creator>Van Dorpe, Josiane</dc:creator><dc:creator>Villeneuve, Nora</dc:creator><dc:date>2023-01-27</dc:date><dc:description>The aim of this study is to investigate how human speakers and computational language models process (i) the informational content and (ii) the discourse orientation of natural language sentences. These two dimensions of meaning have received little attention outside theoretical literature, especially in the computational linguistics domain. To help fill this void, we present the results of four experiments that exploit the specific semantics of two French adverbs, namely presque (≃ ’almost’) and à peine (≃ ’barely’), which put these two dimensions of meaning at odds. Each experiment focuses on one kind of population (humans or language models), and one kind of meaning (informational content or discourse orientation). Our results show that humans are indeed sensitive to informational content and discourse direction, as assumed in the theoretical literature. Language models exhibit a less transparent behavior. Their performances in dealing with the semantics of presque appear in line with predictions based on the way these models are trained, but this does not extend to à peine.</dc:description><dc:subject>semantics</dc:subject><dc:subject>pragmatics</dc:subject><dc:subject>language models</dc:subject><dc:subject>psycholinguistics</dc:subject><dc:subject>entailment</dc:subject><dc:subject>discourse semantics</dc:subject><dc:subject>natural langue inference</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/86s8r161</dc:identifier><dc:identifier>https://escholarship.org/content/qt86s8r161/qt86s8r161.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5389</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5r62k1cn</identifier><datestamp>2026-07-31T15:58:48Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5r62k1cn</dc:identifier><dc:title>Transparency in the processing of temporal ambiguity: The case of embedded tense</dc:title><dc:creator>Armenante, Giuliano</dc:creator><dc:creator>Hohaus, Vera</dc:creator><dc:creator>Stolterfoht, Britta</dc:creator><dc:date>2023-01-27</dc:date><dc:description>We report the results of one acceptability rating study and two self-paced reading studies on the form-meaning mismatch in the interpretation of past-under-past in complement clauses in English. Across the three experiments, we find an off-line and on-line preference for the backward-shifted interpretation, in line with predictions of the structural approach to the ambiguity when assuming a processing preference for morphological transparent interpretation.</dc:description><dc:subject>tense semantics</dc:subject><dc:subject>consecutio temporum</dc:subject><dc:subject>sequence-of-tense parameter</dc:subject><dc:subject>form-meaning mismatches</dc:subject><dc:subject>ambiguity</dc:subject><dc:subject>processing strategies</dc:subject><dc:subject>comprehension</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5r62k1cn</dc:identifier><dc:identifier>https://escholarship.org/content/qt5r62k1cn/qt5r62k1cn.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5390</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt49s7f73m</identifier><datestamp>2026-07-31T15:58:44Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt49s7f73m</dc:identifier><dc:title>Representing affect information in word embeddings</dc:title><dc:creator>Zhang, Yuhan</dc:creator><dc:creator>Chen, Wenqi</dc:creator><dc:creator>Zhang, Ruihan</dc:creator><dc:creator>Zhang, Xiajie</dc:creator><dc:date>2023-01-27</dc:date><dc:description>A growing body of research in natural language processing (NLP) and natural language understanding (NLU) is investigating human-like knowledge learned or encoded in the word embeddings from large language models. This is a step towards understanding what knowledge language models capture that resembles human understanding of language and communication. Here, we investigated whether and how the affect meaning of a word (i.e., valence, arousal, dominance) is encoded in word embeddings pre-trained in large neural networks. We used the human-labeled dataset (Mohammad 2018) as the ground truth and performed various correlational and classification tests on four types of word embeddings. The embeddings varied in being static or contextualized, and how much affect specific information was prioritized during the pre-training and fine-tuning phase. Our analyses show that word embedding from the vanilla BERT model (Devlin et al. 2019) did not saliently encode the affect information of English words. Only when the BERT model was fine-tuned on emotion related tasks or contained extra contextualized information from emotion-rich contexts could the corresponding embedding encode more relevant affect information.</dc:description><dc:subject>language models</dc:subject><dc:subject>word embeddings</dc:subject><dc:subject>affect meaning</dc:subject><dc:subject>lexical semantics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/49s7f73m</dc:identifier><dc:identifier>https://escholarship.org/content/qt49s7f73m/qt49s7f73m.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5391</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0wt5074g</identifier><datestamp>2026-07-31T15:58:41Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0wt5074g</dc:identifier><dc:title>Reading times show effects of contextual complexity and uncertainty in comprehension of German universal quantifiers</dc:title><dc:creator>Schlotterbeck, Fabian</dc:creator><dc:creator>Augurzky, Petra</dc:creator><dc:date>2023-01-27</dc:date><dc:description>We report three experiments, in which we combined self-paced reading with picture-sentence verification to test how reading times are affected by meaning-related processes. In particular, we investigated German sentences containing the universal quantifier alle ("all") and examined how restrictive processes incrementally interact with other aspects of quantifier meaning, comparably to previous studies using other methods. Our results show that reading times were sensitive towards a match between context and sentence meaning and also towards an interaction between picture complexity and task demands. The results also point to the need for integrated processing models that combine refined notions of the relation between memory and expectations, on the one hand, with assumptions about adaptive processes and about representations involved in compositional interpretation, on the other.</dc:description><dc:subject>language comprehension</dc:subject><dc:subject>compositional-semantic processing</dc:subject><dc:subject>quantifier restriction</dc:subject><dc:subject>self-paced reading</dc:subject><dc:subject>expectation-based processing</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0wt5074g</dc:identifier><dc:identifier>https://escholarship.org/content/qt0wt5074g/qt0wt5074g.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5392</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0rw2w8h0</identifier><datestamp>2026-07-31T15:58:37Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0rw2w8h0</dc:identifier><dc:title>Proportions vs. cardinalities: Comparative ambiguities and the COVID pandemic</dc:title><dc:creator>Kaiser, Elsi</dc:creator><dc:date>2023-01-27</dc:date><dc:description>This paper reports two psycholinguistic experiments on quantity comparatives and superlatives that are potentially ambiguous between cardinal and proportional readings. By using statements about COVID cases and vaccination numbers as a naturalistic context with real-world relevance, this work furthers our understanding of what happens in linguistic environments where multiple measure functions are available—what modulates the choice between them? The results provide new evidence that comparatives and superlatives can refer to scales ranging over degrees of proportion, in addition to degrees of cardinality. Furthermore, this experimental evidence points to a preference for cardinal interpretations, but also show that this is not rigid and can be weakened in favor of proportional readings by semantic factors—including considerations potentially related to stage- vs. individual-level differences—and by certain linguistic forms.</dc:description><dc:subject>comparatives</dc:subject><dc:subject>superlatives</dc:subject><dc:subject>experimental semantics</dc:subject><dc:subject>proportional quantifiers</dc:subject><dc:subject>degree semantics</dc:subject><dc:subject>COVID-19</dc:subject><dc:subject>stage-level and individual-level predicates</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0rw2w8h0</dc:identifier><dc:identifier>https://escholarship.org/content/qt0rw2w8h0/qt0rw2w8h0.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5394</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5w2343f0</identifier><datestamp>2026-07-31T15:58:34Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5w2343f0</dc:identifier><dc:title>On a concessive reading of the rise-fall-rise contour: contextual and semantic factors</dc:title><dc:creator>Göbel, Alexander</dc:creator><dc:creator>Wagner, Michael</dc:creator><dc:date>2023-01-27</dc:date><dc:description>This paper presents three auditory rating experiments on the rise-fall-rise contour (RFR). Experiment 1 provides experimental evidence that the RFR makes disagreeing with a prior statement more natural than neutral intonation would. Additionally, the data show that the RFR exhibits a valence asymmetry, noted by G√∂bel (2019): the amelioration of a disagreement is greater when the RFR is used in a positive reply to a negative statement than in a negative reply to a positive statement. Experiments 2 and 3 investigate factors contributing to this asymmetry, showing that it disappears in replies to questions and is weakened when the reply contains an additive particle. Based on these results, we argue that the RFR has a scalar meaning, following G√∂bel (2019), with the relevant scale being contextually determined and resulting in an ambiguity resembling the Focus-particle at least.</dc:description><dc:subject>intonation</dc:subject><dc:subject>focus-particles</dc:subject><dc:subject>alternatives</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5w2343f0</dc:identifier><dc:identifier>https://escholarship.org/content/qt5w2343f0/qt5w2343f0.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5395</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5bp0r0bn</identifier><datestamp>2026-07-31T15:58:30Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5bp0r0bn</dc:identifier><dc:title>Real-time processing of indexical and generic expressions: Insights from, and implications for, COVID-related public health messages</dc:title><dc:creator>Kaiser, Elsi</dc:creator><dc:creator>Storbeck, Jesse</dc:creator><dc:date>2023-01-27</dc:date><dc:description>We used COVID-related health messages to investigate the incremental processing of expressions such as you, we and people in generic contexts, to further our understanding of how these kinds of expressions are processed in real-time and to explore whether the ease of comprehending public health messages related to the COVID pandemic is influenced by type of referring expression. Results from a self-paced reading study point to an increased processing load in messages with the non-indexical form people (relative to we and you), which we suggest is separable from effects of word length and frequency. We interpret this as preliminary support for the Indexicality Hypothesis, which posits that expressions which can in principle receive indexical interpretations are easier to process than non-indexicals, and also emphasize the need for further work on these kinds of questions.</dc:description><dc:subject>pronouns</dc:subject><dc:subject>indexicals</dc:subject><dc:subject>generic reference</dc:subject><dc:subject>perspective-taking</dc:subject><dc:subject>public health communication</dc:subject><dc:subject>self-paced reading</dc:subject><dc:subject>COVID-19 pandemic</dc:subject><dc:subject>coronavirus</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5bp0r0bn</dc:identifier><dc:identifier>https://escholarship.org/content/qt5bp0r0bn/qt5bp0r0bn.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5398</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt28k0g9fn</identifier><datestamp>2026-07-31T15:58:26Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt28k0g9fn</dc:identifier><dc:title>Comparing Global and Local Accommodation: Rating and Response Time Data</dc:title><dc:creator>Göbel, Alexander</dc:creator><dc:creator>Schwarz, Florian</dc:creator><dc:date>2023-01-27</dc:date><dc:description>This paper addresses the question to what extent global and local accommodation should be viewed as sharing the same underlying mechanism or whether they are distinct processes that only happen to share the same label. We present offline rating data and response times from a mouse-tracking experiment that directly compared global and local accommodation for five different triggers. The results show that globally accommodating a presupposition led to a larger decrease in acceptance than locally accommodating, and that response times for local accommodation were overall faster. While we take the results to be inconclusive with regard to the question about the underlying mechanism, we conjecture that the contexts tested here were more favorable for local accommodation, and that hence investigating how different contexts affect the relative ease of accommodation type is a promising avenue for future research.</dc:description><dc:subject>presupposition</dc:subject><dc:subject>accommodation</dc:subject><dc:subject>mouse-tracking</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/28k0g9fn</dc:identifier><dc:identifier>https://escholarship.org/content/qt28k0g9fn/qt28k0g9fn.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5400</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5vz773jw</identifier><datestamp>2026-07-31T15:58:22Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5vz773jw</dc:identifier><dc:title>Testing the influence of QUDs on the occurrence of Conditional Perfection</dc:title><dc:creator>Grusdt, Britta</dc:creator><dc:creator>Liu, Mingya</dc:creator><dc:creator>Franke, Michael</dc:creator><dc:date>2023-01-27</dc:date><dc:description>In natural language conversations, speakers often communicate 'if and only if' when they say 'if'. The reasons why in some circumstances, yet not all, conditionals receive a biconditional interpretation remain under investigation. Von Fintel (2001) proposed an account where the interpretation of a conditional ("if p, then q") is predicted to depend on the focus of the conversation which may either lie on the conditions that make the consequent, q, true or on the consequences following when the antecedent, p, is true. To test this account, we present two novel behavioral experiments with non-text based stimuli that take advantage of participants' intuitive understanding of physics. We find some supporting evidence for the tested account that is not conclusive but suggests that other aspects, like the nature of potential alternative causes for the consequent to become true (e.g., with or w/o the influence of an external variable), also play a role for the interpretation of the conditional.</dc:description><dc:subject>conditional perfection</dc:subject><dc:subject>indicative conditionals</dc:subject><dc:subject>pragmatics</dc:subject><dc:subject>question under discussion</dc:subject><dc:subject>exhaustivity</dc:subject><dc:subject>experimental</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5vz773jw</dc:identifier><dc:identifier>https://escholarship.org/content/qt5vz773jw/qt5vz773jw.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5413</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3tq920v3</identifier><datestamp>2026-07-31T15:58:16Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3tq920v3</dc:identifier><dc:title>On the interpretation of German einige. The effect of tense and cardinality</dc:title><dc:creator>Cortez Espinoza, Maya</dc:creator><dc:creator>Fricke, Lea</dc:creator><dc:date>2023-01-27</dc:date><dc:description>We present a study investigating the effect of tense (past vs. future) on the computation of scalar implicatures in connection with the German quantifier einige 'some' in an interactive experiment, which included a financial incentive for participants to consider whether another speaker would share their judgment. We tested the hypothesis that scalar implicatures are less frequently drawn in future tense than in past tense. In addition, we studied to what extent sets with various cardinalities are prototypical representatives of einige + N. We hypothesized that larger cardinalities are more prototypical representatives of the quantifier einige than smaller cardinalities (relative to the cardinality of the total set). We analyzed the experimental data with probabilistic Bayesian models with a linking hypothesis between participants' responses and readings based on utility maximization in simple decision problems. In line with the hypotheses, we found that less scalar implicatures are drawn in future tense than in past tense, which replicates the results of previous research on English some, and that with an increase in set size acceptance of statements involving einige also increases.</dc:description><dc:subject>scalar implicatures</dc:subject><dc:subject>German einige</dc:subject><dc:subject>tense</dc:subject><dc:subject>quantifier interpretation</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>experimental pragmatics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3tq920v3</dc:identifier><dc:identifier>https://escholarship.org/content/qt3tq920v3/qt3tq920v3.pdf</dc:identifier><dc:identifier>info:doi/10.3765/elm.2.5414</dc:identifier><dc:type>article</dc:type><dc:source>Experiments in Linguistic Meaning, vol 2, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt512678qp</identifier><datestamp>2026-07-31T15:52:42Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt512678qp</dc:identifier><dc:title>Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function</dc:title><dc:creator>Davies, Gail</dc:creator><dc:creator>Lam, Max</dc:creator><dc:creator>Harris, Sarah E</dc:creator><dc:creator>Trampush, Joey W</dc:creator><dc:creator>Luciano, Michelle</dc:creator><dc:creator>Hill, W David</dc:creator><dc:creator>Hagenaars, Saskia P</dc:creator><dc:creator>Ritchie, Stuart J</dc:creator><dc:creator>Marioni, Riccardo E</dc:creator><dc:creator>Fawns-Ritchie, Chloe</dc:creator><dc:creator>Liewald, David CM</dc:creator><dc:creator>Okely, Judith A</dc:creator><dc:creator>Ahola-Olli, Ari V</dc:creator><dc:creator>Barnes, Catriona LK</dc:creator><dc:creator>Bertram, Lars</dc:creator><dc:creator>Bis, Joshua C</dc:creator><dc:creator>Burdick, Katherine E</dc:creator><dc:creator>Christoforou, Andrea</dc:creator><dc:creator>DeRosse, Pamela</dc:creator><dc:creator>Djurovic, Srdjan</dc:creator><dc:creator>Espeseth, Thomas</dc:creator><dc:creator>Giakoumaki, Stella</dc:creator><dc:creator>Giddaluru, Sudheer</dc:creator><dc:creator>Gustavson, Daniel E</dc:creator><dc:creator>Hayward, Caroline</dc:creator><dc:creator>Hofer, Edith</dc:creator><dc:creator>Ikram, M Arfan</dc:creator><dc:creator>Karlsson, Robert</dc:creator><dc:creator>Knowles, Emma</dc:creator><dc:creator>Lahti, Jari</dc:creator><dc:creator>Leber, Markus</dc:creator><dc:creator>Li, Shuo</dc:creator><dc:creator>Mather, Karen A</dc:creator><dc:creator>Melle, Ingrid</dc:creator><dc:creator>Morris, Derek</dc:creator><dc:creator>Oldmeadow, Christopher</dc:creator><dc:creator>Palviainen, Teemu</dc:creator><dc:creator>Payton, Antony</dc:creator><dc:creator>Pazoki, Raha</dc:creator><dc:creator>Petrovic, Katja</dc:creator><dc:creator>Reynolds, Chandra A</dc:creator><dc:creator>Sargurupremraj, Muralidharan</dc:creator><dc:creator>Scholz, Markus</dc:creator><dc:creator>Smith, Jennifer A</dc:creator><dc:creator>Smith, Albert V</dc:creator><dc:creator>Terzikhan, Natalie</dc:creator><dc:creator>Thalamuthu, Anbupalam</dc:creator><dc:creator>Trompet, Stella</dc:creator><dc:creator>van der Lee, Sven J</dc:creator><dc:creator>Ware, Erin B</dc:creator><dc:creator>Windham, B Gwen</dc:creator><dc:creator>Wright, Margaret J</dc:creator><dc:creator>Yang, Jingyun</dc:creator><dc:creator>Yu, Jin</dc:creator><dc:creator>Ames, David</dc:creator><dc:creator>Amin, Najaf</dc:creator><dc:creator>Amouyel, Philippe</dc:creator><dc:creator>Andreassen, Ole A</dc:creator><dc:creator>Armstrong, Nicola J</dc:creator><dc:creator>Assareh, Amelia A</dc:creator><dc:creator>Attia, John R</dc:creator><dc:creator>Attix, Deborah</dc:creator><dc:creator>Avramopoulos, Dimitrios</dc:creator><dc:creator>Bennett, David A</dc:creator><dc:creator>Böhmer, Anne C</dc:creator><dc:creator>Boyle, Patricia A</dc:creator><dc:creator>Brodaty, Henry</dc:creator><dc:creator>Campbell, Harry</dc:creator><dc:creator>Cannon, Tyrone D</dc:creator><dc:creator>Cirulli, Elizabeth T</dc:creator><dc:creator>Congdon, Eliza</dc:creator><dc:creator>Conley, Emily Drabant</dc:creator><dc:creator>Corley, Janie</dc:creator><dc:creator>Cox, Simon R</dc:creator><dc:creator>Dale, Anders M</dc:creator><dc:creator>Dehghan, Abbas</dc:creator><dc:creator>Dick, Danielle</dc:creator><dc:creator>Dickinson, Dwight</dc:creator><dc:creator>Eriksson, Johan G</dc:creator><dc:creator>Evangelou, Evangelos</dc:creator><dc:creator>Faul, Jessica D</dc:creator><dc:creator>Ford, Ian</dc:creator><dc:creator>Freimer, Nelson A</dc:creator><dc:creator>Gao, He</dc:creator><dc:creator>Giegling, Ina</dc:creator><dc:creator>Gillespie, Nathan A</dc:creator><dc:creator>Gordon, Scott D</dc:creator><dc:creator>Gottesman, Rebecca F</dc:creator><dc:creator>Griswold, Michael E</dc:creator><dc:creator>Gudnason, Vilmundur</dc:creator><dc:creator>Harris, Tamara B</dc:creator><dc:creator>Hartmann, Annette M</dc:creator><dc:creator>Hatzimanolis, Alex</dc:creator><dc:creator>Heiss, Gerardo</dc:creator><dc:creator>Holliday, Elizabeth G</dc:creator><dc:creator>Joshi, Peter K</dc:creator><dc:creator>Kähönen, Mika</dc:creator><dc:creator>Kardia, Sharon LR</dc:creator><dc:creator>Karlsson, Ida</dc:creator><dc:creator>Kleineidam, Luca</dc:creator><dc:date>2019-01-01</dc:date><dc:description>Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article. This has now been corrected in both the PDF and HTML versions of the article.</dc:description><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3105 Genetics (for-2020)</dc:subject><dc:subject>Genetics (rcdc)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/512678qp</dc:identifier><dc:identifier>https://escholarship.org/content/qt512678qp/qt512678qp.pdf</dc:identifier><dc:identifier>info:doi/10.1038/s41467-019-10160-w</dc:identifier><dc:type>article</dc:type><dc:source>Nature Communications, vol 10, iss 1</dc:source><dc:coverage>2068</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt02r5b6t6</identifier><datestamp>2026-07-31T15:51:54Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt02r5b6t6</dc:identifier><dc:title>Particle- γ coincidence spectroscopy of the N = 90 nucleus 154Gd by (p,tγ)</dc:title><dc:creator>Allmond, JM</dc:creator><dc:creator>Beausang, CW</dc:creator><dc:creator>Ross, TJ</dc:creator><dc:creator>Humby, P</dc:creator><dc:creator>Basunia, MS</dc:creator><dc:creator>Bernstein, LA</dc:creator><dc:creator>Bleuel, DL</dc:creator><dc:creator>Brooks, W</dc:creator><dc:creator>Brown, N</dc:creator><dc:creator>Burke, JT</dc:creator><dc:creator>Darakchieva, BK</dc:creator><dc:creator>Dudziak, KR</dc:creator><dc:creator>Evans, KE</dc:creator><dc:creator>Fallon, P</dc:creator><dc:creator>Jeppesen, HB</dc:creator><dc:creator>LeBlanc, JD</dc:creator><dc:creator>Lesher, SR</dc:creator><dc:creator>McMahan, MA</dc:creator><dc:creator>Meyer, DA</dc:creator><dc:creator>Phair, L</dc:creator><dc:creator>Rasmussen, JO</dc:creator><dc:creator>Scielzo, ND</dc:creator><dc:creator>Stroberg, SR</dc:creator><dc:creator>Wiedeking, M</dc:creator><dc:date>2017-03-01</dc:date><dc:description>Abstract.A segmented Si-telescope and HPGe array, STARS-LIBERACE, was used to study the 156Gd(p,tγ$$p,t\gamma$$)154Gd direct reaction by particle- γ$$ \gamma$$ coincidence spectroscopy. New cross sections with a 25MeV proton beam are reported and compared to previous (p,t) and (t,p) studies. Furthermore, additional evidence for coexisting Kπ=01+,21+$$ K^{\pi}=0_{1}^{+},2_{1}^{+}$$ and 02+$$0_{2}^{+}$$, 22+$$2_{2}^{+}$$ configurations at N = 90 is presented. Direct and indirect population patterns of the low-lying states are also explored. Review of the new and existing evidence favors an interpretation based on a configuration-dependent pairing interaction. The weakening of monopole pairing strength and an increase in quadrupole pairing strength could bring 2p-2h 0+$$0^{+}$$ states below 2Δ\documentclass[12pt]{minimal}
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				\begin{document}$2\Delta$\end{document}. This may account for a large number of the low-lying 0+$$0^{+}$$ states observed in two-nucleon transfer reactions. A hypothesis for the origin of the 02+$$0_{2}^{+}$$ and 03+$$ 0_{3}^{+}$$ states is provided.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5110 Synchrotrons and Accelerators (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>NSD-Nuclear Data (c-lbnl-label)</dc:subject><dc:subject>NSD-88-Inch Cyclotron (c-lbnl-label)</dc:subject><dc:subject>NSD-Low Energy Nuclear Physics (c-lbnl-label)</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>Nuclear &amp; Particles Physics (science-metrix)</dc:subject><dc:subject>5106 Nuclear and plasma physics (for-2020)</dc:subject><dc:subject>5107 Particle and high energy physics (for-2020)</dc:subject><dc:subject>5110 Synchrotrons and accelerators (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/02r5b6t6</dc:identifier><dc:identifier>https://escholarship.org/content/qt02r5b6t6/qt02r5b6t6.pdf</dc:identifier><dc:identifier>info:doi/10.1140/epja/i2017-12253-2</dc:identifier><dc:type>article</dc:type><dc:source>The European Physical Journal A, vol 53, iss 3</dc:source><dc:coverage>62</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt30d5k089</identifier><datestamp>2026-07-31T15:45:31Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt30d5k089</dc:identifier><dc:title>Parameters Driving Concrete Carbonation at its End-of-Life for Direct Air Capture in Transportation Projects</dc:title><dc:creator>Knight, Kelli Anne</dc:creator><dc:creator>Miller, Sabbie A.</dc:creator><dc:date>2024-09-01</dc:date><dc:description>Recent California regulatory efforts, United States goals, and industry roadmaps all target net-zero greenhouse gas (GHG) emissions from the cement and concrete industries within a few decades. While changes in production of cement and concrete, including varying constituents, can greatly reduce GHG emissions, carbon dioxide removal (CDR) will be needed to meet this net-zero goal. Hydrated cement in concrete can carbonate (i.e., form carbon-based minerals with atmospheric CO2) and thus act as a CDR mechanism. This process occurs faster with a large surface area, such as crushed concrete at its end-of-life (EoL), which can be uniquely leveraged by transportation infrastructure projects. In this work, a literature review of key parameters that can facilitate desired CO2 uptake for transportation projects at their end of life is conducted and an initial meta-analyses of data from the literature to inform CO2 uptake for individual projects is performed. Initial considerations for what concomitant impacts may arise from this process are presented. Finally, experiments to fill a key gap in understanding how thin crushed concrete must be spread to maximize uptake reactions are conducted. Cumulatively, findings will inform whether carbonation can be implementedin a way that would support policies that include carbonation as a route for reducing emissions from cement-based materials in transportation applicationsView the NCST Project Webpage</dc:description><dc:subject>Carbon capture and storage</dc:subject><dc:subject>Carbon dioxide</dc:subject><dc:subject>Carbonation</dc:subject><dc:subject>Cement</dc:subject><dc:subject>Concrete</dc:subject><dc:subject>Greenhouse gases</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/30d5k089</dc:identifier><dc:identifier>https://escholarship.org/content/qt30d5k089/qt30d5k089.pdf</dc:identifier><dc:identifier>info:doi/10.7922/G23X850N</dc:identifier><dc:type>article</dc:type></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt85n5c4rq</identifier><datestamp>2026-07-31T15:40:31Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt85n5c4rq</dc:identifier><dc:title>Eight quick tips for data-model integration in ecology</dc:title><dc:creator>Balstad, Laurinne J</dc:creator><dc:creator>Brennan, Joe</dc:creator><dc:creator>Baskett, Marissa L</dc:creator><dc:creator>Berglund, Mattea K</dc:creator><dc:creator>Blundell, Mei Z</dc:creator><dc:creator>Bolin, Jessica A</dc:creator><dc:creator>Briggs, Amy A</dc:creator><dc:creator>Fisher, Mary C</dc:creator><dc:creator>Heggerud, Christopher M</dc:creator><dc:creator>Jarvis-Cross, Madeline</dc:creator><dc:creator>Mossman, Lauren</dc:creator><dc:creator>Odell, Andrea N</dc:creator><dc:creator>Paige, Jennifer</dc:creator><dc:creator>Pelletier, Sophia</dc:creator><dc:creator>Provost, Mikaela M</dc:creator><dc:contributor>Palagi, Patricia M</dc:contributor><dc:date>2026-07-20</dc:date><dc:subject>01 Mathematical Sciences (for)</dc:subject><dc:subject>06 Biological Sciences (for)</dc:subject><dc:subject>08 Information and Computing Sciences (for)</dc:subject><dc:subject>Bioinformatics (science-metrix)</dc:subject><dc:rights>CC-BY-NC-SA</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/85n5c4rq</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1371/journal.pcbi.1014524</dc:identifier><dc:type>article</dc:type><dc:source>PLOS Computational Biology, vol 22, iss 7</dc:source><dc:coverage>e1014524</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt24v0b2sq</identifier><datestamp>2026-07-31T15:40:28Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt24v0b2sq</dc:identifier><dc:title>A Conceptual Foundation for the Development of a Lifelong Learning Measurement Framework</dc:title><dc:creator>Desjardins, Richard</dc:creator><dc:creator>Kalenda, Jan</dc:creator><dc:date>2026-07-28</dc:date><dc:description>This report proposes a conceptual framework for measuring lifelong learning (LLL) aimed at improving policy design and evaluation. Lifelong learning is understood as learning across the life course and diverse contexts. The report identifies key limitations in current data systems, including narrow age coverage, lack of longitudinal tracking, overemphasis on labour-market outcomes, and insufficient measurement of informal learning. To address these gaps, the framework is structured around three interconnected pillars: demand, supply, and coordination. Demand captures learning needs at individual, organisational, and societal levels; supply maps opportunities across formal education, workplaces, welfare systems, and communities; and coordination focuses on mechanisms that align needs with provision. The framework also redefines learning by introducing a two dimensional model based on formalisation and digitalisation, better capturing hybrid and emerging forms. Finally, it outlines practical steps for implementation, including improved surveys, longitudinal data linkages, administrative data integration, skills passports, and advanced analytics to support more comprehensive and effective lifelong learning systems. The report will be of interest to education policy makers, whether interested in formal education or adult learning, to statisticians as well as other education stakeholders.</dc:description><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/24v0b2sq</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1787/27e5a619-en</dc:identifier><dc:type>article</dc:type></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt15v2798m</identifier><datestamp>2026-07-31T15:40:23Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt15v2798m</dc:identifier><dc:title>Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016</dc:title><dc:creator>Collaborators, GBD 2016 DALYs and HALE</dc:creator><dc:creator>Hay, Simon I</dc:creator><dc:creator>Abajobir, Amanuel Alemu</dc:creator><dc:creator>Abate, Kalkidan Hassen</dc:creator><dc:creator>Abbafati, Cristiana</dc:creator><dc:creator>Abbas, Kaja M</dc:creator><dc:creator>Abd-Allah, Foad</dc:creator><dc:creator>Abdulkader, Rizwan Suliankatchi</dc:creator><dc:creator>Abdulle, Abdishakur M</dc:creator><dc:creator>Abebo, Teshome Abuka</dc:creator><dc:creator>Abera, Semaw Ferede</dc:creator><dc:creator>Aboyans, Victor</dc:creator><dc:creator>Abu-Raddad, Laith J</dc:creator><dc:creator>Ackerman, Ilana N</dc:creator><dc:creator>Adedeji, Isaac A</dc:creator><dc:creator>Adetokunboh, Olatunji</dc:creator><dc:creator>Afshin, Ashkan</dc:creator><dc:creator>Aggarwal, Rakesh</dc:creator><dc:creator>Agrawal, Sutapa</dc:creator><dc:creator>Agrawal, Anurag</dc:creator><dc:creator>Ahmed, Muktar Beshir</dc:creator><dc:creator>Aichour, Miloud Taki Eddine</dc:creator><dc:creator>Aichour, Amani Nidhal</dc:creator><dc:creator>Aichour, Ibtihel</dc:creator><dc:creator>Aiyar, Sneha</dc:creator><dc:creator>Akinyemiju, Tomi F</dc:creator><dc:creator>Akseer, Nadia</dc:creator><dc:creator>Al Lami, Faris Hasan</dc:creator><dc:creator>Alahdab, Fares</dc:creator><dc:creator>Al-Aly, Ziyad</dc:creator><dc:creator>Alam, Khurshid</dc:creator><dc:creator>Alam, Noore</dc:creator><dc:creator>Alam, Tahiya</dc:creator><dc:creator>Alasfoor, Deena</dc:creator><dc:creator>Alene, Kefyalew Addis</dc:creator><dc:creator>Ali, Raghib</dc:creator><dc:creator>Alizadeh-Navaei, Reza</dc:creator><dc:creator>Alkaabi, Juma M</dc:creator><dc:creator>Alkerwi, Ala'a</dc:creator><dc:creator>Alla, François</dc:creator><dc:creator>Allebeck, Peter</dc:creator><dc:creator>Allen, Christine</dc:creator><dc:creator>Al-Maskari, Fatma</dc:creator><dc:creator>AlMazroa, Mohammad AbdulAziz</dc:creator><dc:creator>Al-Raddadi, Rajaa</dc:creator><dc:creator>Alsharif, Ubai</dc:creator><dc:creator>Alsowaidi, Shirina</dc:creator><dc:creator>Althouse, Benjamin M</dc:creator><dc:creator>Altirkawi, Khalid A</dc:creator><dc:creator>Alvis-Guzman, Nelson</dc:creator><dc:creator>Amare, Azmeraw T</dc:creator><dc:creator>Amini, Erfan</dc:creator><dc:creator>Ammar, Walid</dc:creator><dc:creator>Amoako, Yaw Ampem</dc:creator><dc:creator>Ansha, Mustafa Geleto</dc:creator><dc:creator>Antonio, Carl Abelardo T</dc:creator><dc:creator>Anwari, Palwasha</dc:creator><dc:creator>Ärnlöv, Johan</dc:creator><dc:creator>Arora, Megha</dc:creator><dc:creator>Artaman, Al</dc:creator><dc:creator>Aryal, Krishna Kumar</dc:creator><dc:creator>Asgedom, Solomon W</dc:creator><dc:creator>Atey, Tesfay Mehari</dc:creator><dc:creator>Atnafu, Niguse Tadele</dc:creator><dc:creator>Avila-Burgos, Leticia</dc:creator><dc:creator>Avokpaho, Euripide Frinel G Arthur</dc:creator><dc:creator>Awasthi, Ashish</dc:creator><dc:creator>Awasthi, Shally</dc:creator><dc:creator>Azarpazhooh, Mahmoud Reza</dc:creator><dc:creator>Azzopardi, Peter</dc:creator><dc:creator>Babalola, Tesleem Kayode</dc:creator><dc:creator>Bacha, Umar</dc:creator><dc:creator>Badawi, Alaa</dc:creator><dc:creator>Balakrishnan, Kalpana</dc:creator><dc:creator>Bannick, Marlena S</dc:creator><dc:creator>Barac, Aleksandra</dc:creator><dc:creator>Barker-Collo, Suzanne L</dc:creator><dc:creator>Bärnighausen, Till</dc:creator><dc:creator>Barquera, Simon</dc:creator><dc:creator>Barrero, Lope H</dc:creator><dc:creator>Basu, Sanjay</dc:creator><dc:creator>Battista, Robert</dc:creator><dc:creator>Battle, Katherine E</dc:creator><dc:creator>Baune, Bernhard T</dc:creator><dc:creator>Bazargan-Hejazi, Shahrzad</dc:creator><dc:creator>Beardsley, Justin</dc:creator><dc:creator>Bedi, Neeraj</dc:creator><dc:creator>Béjot, Yannick</dc:creator><dc:creator>Bekele, Bayu Begashaw</dc:creator><dc:creator>Bell, Michelle L</dc:creator><dc:creator>Bennett, Derrick A</dc:creator><dc:creator>Bennett, James R</dc:creator><dc:creator>Bensenor, Isabela M</dc:creator><dc:creator>Benson, Jennifer</dc:creator><dc:creator>Berhane, Adugnaw</dc:creator><dc:creator>Berhe, Derbew Fikadu</dc:creator><dc:creator>Bernabé, Eduardo</dc:creator><dc:creator>Betsu, Balem Demtsu</dc:creator><dc:creator>Beuran, Mircea</dc:creator><dc:creator>Beyene, Addisu Shunu</dc:creator><dc:date>2017-09-01</dc:date><dc:description>BACKGROUND: Measurement of changes in health across locations is useful to compare and contrast changing epidemiological patterns against health system performance and identify specific needs for resource allocation in research, policy development, and programme decision making. Using the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we drew from two widely used summary measures to monitor such changes in population health: disability-adjusted life-years (DALYs) and healthy life expectancy (HALE). We used these measures to track trends and benchmark progress compared with expected trends on the basis of the Socio-demographic Index (SDI).
METHODS: We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2016. We calculated DALYs by summing years of life lost and years of life lived with disability for each location, age group, sex, and year. We estimated HALE using age-specific death rates and years of life lived with disability per capita. We explored how DALYs and HALE differed from expected trends when compared with the SDI: the geometric mean of income per person, educational attainment in the population older than age 15 years, and total fertility rate.
FINDINGS: The highest globally observed HALE at birth for both women and men was in Singapore, at 75·2 years (95% uncertainty interval 71·9-78·6) for females and 72·0 years (68·8-75·1) for males. The lowest for females was in the Central African Republic (45·6 years [42·0-49·5]) and for males was in Lesotho (41·5 years [39·0-44·0]). From 1990 to 2016, global HALE increased by an average of 6·24 years (5·97-6·48) for both sexes combined. Global HALE increased by 6·04 years (5·74-6·27) for males and 6·49 years (6·08-6·77) for females, whereas HALE at age 65 years increased by 1·78 years (1·61-1·93) for males and 1·96 years (1·69-2·13) for females. Total global DALYs remained largely unchanged from 1990 to 2016 (-2·3% [-5·9 to 0·9]), with decreases in communicable, maternal, neonatal, and nutritional (CMNN) disease DALYs offset by increased DALYs due to non-communicable diseases (NCDs). The exemplars, calculated as the five lowest ratios of observed to expected age-standardised DALY rates in 2016, were Nicaragua, Costa Rica, the Maldives, Peru, and Israel. The leading three causes of DALYs globally were ischaemic heart disease, cerebrovascular disease, and lower respiratory infections, comprising 16·1% of all DALYs. Total DALYs and age-standardised DALY rates due to most CMNN causes decreased from 1990 to 2016. Conversely, the total DALY burden rose for most NCDs; however, age-standardised DALY rates due to NCDs declined globally.
INTERPRETATION: At a global level, DALYs and HALE continue to show improvements. At the same time, we observe that many populations are facing growing functional health loss. Rising SDI was associated with increases in cumulative years of life lived with disability and decreases in CMNN DALYs offset by increased NCD DALYs. Relative compression of morbidity highlights the importance of continued health interventions, which has changed in most locations in pace with the gross domestic product per person, education, and family planning. The analysis of DALYs and HALE and their relationship to SDI represents a robust framework with which to benchmark location-specific health performance. Country-specific drivers of disease burden, particularly for causes with higher-than-expected DALYs, should inform health policies, health system improvement initiatives, targeted prevention efforts, and development assistance for health, including financial and research investments for all countries, regardless of their level of sociodemographic development. The presence of countries that substantially outperform others suggests the need for increased scrutiny for proven examples of best practices, which can help to extend gains, whereas the presence of underperforming countries suggests the need for devotion of extra attention to health systems that need more robust support.
FUNDING: Bill &amp;amp; Melinda Gates Foundation.</dc:description><dc:subject>4202 Epidemiology (for-2020)</dc:subject><dc:subject>4206 Public Health (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Aging (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Burden of Illness (rcdc)</dc:subject><dc:subject>Health Disparities and Racial or Ethnic Minority Health Research (rcdc)</dc:subject><dc:subject>Social Determinants of Health (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Health Disparities (rcdc)</dc:subject><dc:subject>2.4 Surveillance and distribution (hrcs-rac)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Age Distribution (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Aged</dc:subject><dc:subject>80 and over (mesh)</dc:subject><dc:subject>Cause of Death (mesh)</dc:subject><dc:subject>Communicable Diseases (mesh)</dc:subject><dc:subject>Persons with Disabilities (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Global Burden of Disease (mesh)</dc:subject><dc:subject>Global Health (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Life Expectancy (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Noncommunicable Diseases (mesh)</dc:subject><dc:subject>Quality-Adjusted Life Years (mesh)</dc:subject><dc:subject>Residence Characteristics (mesh)</dc:subject><dc:subject>Sex Distribution (mesh)</dc:subject><dc:subject>Wounds and Injuries (mesh)</dc:subject><dc:subject>GBD 2016 DALYs and HALE Collaborators</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Communicable Diseases (mesh)</dc:subject><dc:subject>Wounds and Injuries (mesh)</dc:subject><dc:subject>Life Expectancy (mesh)</dc:subject><dc:subject>Cause of Death (mesh)</dc:subject><dc:subject>Age Distribution (mesh)</dc:subject><dc:subject>Residence Characteristics (mesh)</dc:subject><dc:subject>Sex Distribution (mesh)</dc:subject><dc:subject>Quality-Adjusted Life Years (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Aged</dc:subject><dc:subject>80 and over (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Global Health (mesh)</dc:subject><dc:subject>Global Burden of Disease (mesh)</dc:subject><dc:subject>Noncommunicable Diseases (mesh)</dc:subject><dc:subject>Persons with Disabilities (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Age Distribution (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Aged</dc:subject><dc:subject>80 and over (mesh)</dc:subject><dc:subject>Cause of Death (mesh)</dc:subject><dc:subject>Communicable Diseases (mesh)</dc:subject><dc:subject>Persons with Disabilities (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Global Burden of Disease (mesh)</dc:subject><dc:subject>Global Health (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Life Expectancy (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Noncommunicable Diseases (mesh)</dc:subject><dc:subject>Quality-Adjusted Life Years (mesh)</dc:subject><dc:subject>Residence Characteristics (mesh)</dc:subject><dc:subject>Sex Distribution (mesh)</dc:subject><dc:subject>Wounds and Injuries (mesh)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:subject>General &amp; Internal Medicine (science-metrix)</dc:subject><dc:subject>32 Biomedical and clinical sciences (for-2020)</dc:subject><dc:subject>42 Health sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/15v2798m</dc:identifier><dc:identifier>https://escholarship.org/content/qt15v2798m/qt15v2798m.pdf</dc:identifier><dc:identifier>info:doi/10.1016/s0140-6736(17)32130-x</dc:identifier><dc:type>article</dc:type><dc:source>The Lancet, vol 390, iss 10100</dc:source><dc:coverage>1260 - 1344</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9042s753</identifier><datestamp>2026-07-31T15:36:57Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9042s753</dc:identifier><dc:title>Attosecond response of molecules to impulsive ionization</dc:title><dc:creator>Driver, Taran</dc:creator><dc:creator>Guo, Zhaoheng</dc:creator><dc:creator>Isele, Erik</dc:creator><dc:creator>Grell, Gilbert</dc:creator><dc:creator>Ruberti, Marco</dc:creator><dc:creator>O’Neal, Jordan T</dc:creator><dc:creator>Alexander, Oliver</dc:creator><dc:creator>Beauvarlet, Sandra</dc:creator><dc:creator>Cesar, David</dc:creator><dc:creator>Duris, Joseph</dc:creator><dc:creator>Garratt, Douglas</dc:creator><dc:creator>Larsen, Kirk A</dc:creator><dc:creator>Li, Siqi</dc:creator><dc:creator>Kolorenč, Přemysl</dc:creator><dc:creator>McCracken, Gregory A</dc:creator><dc:creator>Tuthill, Daniel</dc:creator><dc:creator>Wang, Zifan</dc:creator><dc:creator>Berrah, Nora</dc:creator><dc:creator>Bostedt, Christoph</dc:creator><dc:creator>Borne, Kurtis</dc:creator><dc:creator>Cheng, Xinxin</dc:creator><dc:creator>DiMauro, Louis F</dc:creator><dc:creator>Doumy, Gilles</dc:creator><dc:creator>Franz, Paris L</dc:creator><dc:creator>Kamalov, Andrei</dc:creator><dc:creator>Li, Xiang</dc:creator><dc:creator>Lin, Ming-Fu</dc:creator><dc:creator>Obaid, Razib</dc:creator><dc:creator>Pícon, Antonio</dc:creator><dc:creator>Robles, River R</dc:creator><dc:creator>Rolles, Daniel</dc:creator><dc:creator>Rudenko, Artem</dc:creator><dc:creator>Shaikh, Moniruzzaman</dc:creator><dc:creator>Slaughter, Daniel S</dc:creator><dc:creator>Sudar, Nicholas S</dc:creator><dc:creator>Thierstein, Emily</dc:creator><dc:creator>Ueda, Kiyoshi</dc:creator><dc:creator>Wang, Enliang</dc:creator><dc:creator>Wang, Anna L</dc:creator><dc:creator>Weber, Thorsten</dc:creator><dc:creator>Wolf, Thomas JA</dc:creator><dc:creator>Young, Linda</dc:creator><dc:creator>Zhang, Zhen</dc:creator><dc:creator>Averbukh, Vitali</dc:creator><dc:creator>Gessner, Oliver</dc:creator><dc:creator>Bucksbaum, Philip H</dc:creator><dc:creator>Kling, Matthias F</dc:creator><dc:creator>Palacios, Alicia</dc:creator><dc:creator>Martín, Fernando</dc:creator><dc:creator>Marangos, Jon P</dc:creator><dc:creator>Walter, Peter</dc:creator><dc:creator>Marinelli, Agostino</dc:creator><dc:creator>Cryan, James P</dc:creator><dc:date>2026-07-20</dc:date><dc:description>When matter interacts with energetic radiation it can undergo sudden, or impulsive, ionization. This process can drive chemical change and occurs widely in space and planetary atmospheres, yet its comprehensive description challenges our current theoretical and computational capabilities as it requires advanced treatment of electron correlation and nonadiabatic dynamics beyond the Born–Oppenheimer approximation. Here we measure the response of the para-aminophenol molecule to sudden ionization. Using attosecond X-ray absorption spectroscopy, we resolve the ultrafast dynamics of the ionized molecule with atomic precision. A subfemtosecond decay corresponds to states undergoing non-radiative decay, whereas few-femtosecond oscillatory signatures are associated with electronic wavepacket motion in stable cation states that later couple to nuclear motion. We compare our measurement with state-of-the-art computational modelling, qualitatively reproducing the observed response across multiple timescales. These results provide a benchmark for computational models of sudden ionization and ultrafast charge motion in matter.</dc:description><dc:subject>5102 Atomic</dc:subject><dc:subject>Molecular and Optical Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>01 Mathematical Sciences (for)</dc:subject><dc:subject>02 Physical Sciences (for)</dc:subject><dc:subject>Fluids &amp; Plasmas (science-metrix)</dc:subject><dc:subject>49 Mathematical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9042s753</dc:identifier><dc:identifier>https://escholarship.org/content/qt9042s753/qt9042s753.pdf</dc:identifier><dc:identifier>info:doi/10.1038/s41567-026-03360-x</dc:identifier><dc:type>article</dc:type><dc:source>Nature Physics</dc:source><dc:coverage>1 - 8</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6cr5b2fj</identifier><datestamp>2026-07-31T15:36:00Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6cr5b2fj</dc:identifier><dc:title>Exposure to perfluoroalkyl substances in a cohort of women firefighters and office workers in San Francisco</dc:title><dc:creator>Trowbridge, Jessica</dc:creator><dc:creator>Gerona, Roy</dc:creator><dc:creator>Lin, Thomas</dc:creator><dc:creator>Rudel, Ruthann A</dc:creator><dc:creator>Bessonneau, Vincent</dc:creator><dc:creator>Buren, Heather</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:date>2019-09-11</dc:date><dc:description>Abstract  Background Studies in male firefighters have demonstrated increased exposures to carcinogenic compounds and increased rates of certain cancers compared to the general population. Many chemicals related to these occupational exposures have been associated with breast tumor development in animal and human studies, yet, there have been no studies on women firefighters due to their low numbers in most fire departments. To address this data gap, the Women Firefighters Biomonitoring Collaborative (WFBC) created a biological sample archive and analyzed levels of perfluoroalkyl substances (PFAS) among women firefighters and office workers in San Francisco.   Methods Active duty women firefighters (n=86) and office workers (n=84) were recruited from the San Francisco Fire Department and the City and County of San Francisco, respectively. Serum samples were collected and analyzed using liquid chromatography tandem mass spectrometry (LC MS/MS) to measure and compare PFAS levels between firefighters and office workers. For PFAS congeners detected in at least 70% of our study population, we examined differences in serum PFAS levels controlling for dietary, demographic and other confounders. Among firefighters, we assessed associations between occupational activities and PFAS levels.   Results Eight of 12 PFAS congeners were detected at levels above the limit of detection and seven were detected in at least 70% of the study population. Four PFAS were detected in all study participants (PFNA, PFOA, PFOS, PFHxS). In regression models comparing PFAS levels by occupation and adjusting for potential confounders, firefighters had higher geometric mean (GM) concentrations of PFAS compared to office workers: 2.39 (95%CI = 1.64,3.48), 2.32 (95% CI = 1.17,4.62) and 1.26 (95% CI = 0.99, 1.59) times higher for PFHxS, PFUnDA and PFNA, respectively. In analyses limited to firefighters, PFAS levels varied by assigned position in the fire department—firefighters and officers had higher PFNA, PFOA, PFDA, and PFUnDA compared to drivers. Additionally, firefighters who reported having used firefighting foam had higher concentrations of PFOA compared firefighters who reported never having used foam.   Conclusion Our study found ubiquitous exposures to PFAS among WFBC participants, with women firefighters exposed to higher levels of some PFAS compared to office workers, suggesting that some of these exposures may be occupationally related.</dc:description><dc:subject>3401 Analytical Chemistry (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>Endocrine Disruptors (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6cr5b2fj</dc:identifier><dc:identifier>https://escholarship.org/content/qt6cr5b2fj/qt6cr5b2fj.pdf</dc:identifier><dc:identifier>info:doi/10.1101/19005652</dc:identifier><dc:type>article</dc:type></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt45c8w9hr</identifier><datestamp>2026-07-31T15:35:55Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt45c8w9hr</dc:identifier><dc:title>Ion Transport and Crystal Rotation in Plastic Crystal Electrolytes Under Applied Electric Fields</dc:title><dc:creator>Yap, Kyra MK</dc:creator><dc:creator>Abdo, Emily E</dc:creator><dc:creator>Aramaki, Hiroki</dc:creator><dc:creator>Sugisawa, Hiroki</dc:creator><dc:creator>Hamamura, Tomofumi</dc:creator><dc:creator>Mukunoki, Kazunori</dc:creator><dc:creator>Im, Julia</dc:creator><dc:creator>Celik, Hasan</dc:creator><dc:creator>Hesse, Sarah A</dc:creator><dc:creator>Paul, Partha P</dc:creator><dc:creator>Balsara, Nitash P</dc:creator><dc:date>2026-07-14</dc:date><dc:description>Organic ionic plastic crystal electrolytes, containing a plastic crystal and lithium salt, offer a potential balance between mechanical and electrochemical properties for solid state lithium-ion battery electrolytes. These electrolytes contain multiple mobile ionic species (three or four), resulting in complex transport mechanisms which have not yet been established. Plastic crystals are defined by long-range positional order and short-range rotational disorder. It is therefore necessary to quantify changes in the local crystal structure of the electrolyte as current flows through it. Herein, we examine the electrochemical properties of pyrrolidinium-based plastic crystal electrolytes containing lithium salt and zwitterion additives, including measurements of current fraction and limiting current. We obtain species-specific insight into electrolyte transport using pulsed-field gradient nuclear magnetic resonance spectroscopy and find that, while the zwitterion additive increases ionic conductivity, it decreases lithium diffusivity with respect to other ionic components. With operando spatiotemporally resolved wide-angle X-ray scattering we observe location-specific crystal rotations due to the passage of ionic current. We posit that reducing energy dissipation due to rotation is essential for using plastic crystal electrolytes in practical applications.</dc:description><dc:subject>40 Engineering (for-2020)</dc:subject><dc:subject>4016 Materials Engineering (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>3406 Physical Chemistry (for-2020)</dc:subject><dc:subject>7 Affordable and Clean Energy (sdg)</dc:subject><dc:subject>03 Chemical Sciences (for)</dc:subject><dc:subject>09 Engineering (for)</dc:subject><dc:subject>Materials (science-metrix)</dc:subject><dc:subject>34 Chemical sciences (for-2020)</dc:subject><dc:subject>40 Engineering (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/45c8w9hr</dc:identifier><dc:identifier>https://escholarship.org/content/qt45c8w9hr/qt45c8w9hr.pdf</dc:identifier><dc:identifier>info:doi/10.1021/acs.chemmater.6c00803</dc:identifier><dc:type>article</dc:type><dc:source>Chemistry of Materials, vol 38, iss 13</dc:source><dc:coverage>6622 - 6635</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0dg4z35k</identifier><datestamp>2026-07-31T15:35:51Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0dg4z35k</dc:identifier><dc:title>Universal Relationship between Limiting Current and Electrochemical Transport Properties in Malonate-Based Polymer Electrolytes</dc:title><dc:creator>Jana, Rounak</dc:creator><dc:creator>Gido, Lily A</dc:creator><dc:creator>Patel, Vivaan</dc:creator><dc:creator>Abdo, Emily E</dc:creator><dc:creator>Makkar, Shreya</dc:creator><dc:creator>Bowen, Michael S</dc:creator><dc:creator>Balsara, Nitash P</dc:creator><dc:date>2026-07-07</dc:date><dc:description>There is considerable interest in developing high-performance electrolytes for rechargeable lithium batteries. For practical applications, the electrolyte must support large dc currents. However, the parameters most often reported in the literature, conductivity, κ, and current fraction, ρ+, reflect ion transport in the limit of infinitesimal currents. In this limit, the efficacy of an electrolyte is given by the product κρ+. The limiting current density, i lim, is the maximum current density that can be applied across an electrolyte; the cell voltage diverges if the applied current density exceeds i lim. This parameter reflects ion transport in the limit of large dc currents and is therefore of practical interest. It would therefore be convenient if i lim could be predicted from measurements of κρ+. In order to explore this possibility, we studied six malonate-based polymers and PEO at a fixed salt concentration (r = 0.08) and temperature (90°C) using symmetric cells with planar electrodes. Unfortunately, there is no correlation between i lim and κρ+. When the applied current density, i, is less than i lim, the cell voltage approaches a stable plateau, ϕplateau. We found a linear dependence between i and thickness-normalized plateau potential, ϕplateau L –1, irrespective of the magnitude of the applied current. In all seven polymer electrolytes, we found a linear correlation between i lim and the slopes of these lines, σ. In other words, measurements of σ can be used to predict the limiting current.</dc:description><dc:subject>40 Engineering (for-2020)</dc:subject><dc:subject>4016 Materials Engineering (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>3406 Physical Chemistry (for-2020)</dc:subject><dc:subject>03 Chemical Sciences (for)</dc:subject><dc:subject>09 Engineering (for)</dc:subject><dc:subject>Polymers (science-metrix)</dc:subject><dc:subject>34 Chemical sciences (for-2020)</dc:subject><dc:subject>40 Engineering (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0dg4z35k</dc:identifier><dc:identifier>https://escholarship.org/content/qt0dg4z35k/qt0dg4z35k.pdf</dc:identifier><dc:identifier>info:doi/10.1021/acs.macromol.6c00686</dc:identifier><dc:type>article</dc:type><dc:source>Macromolecules</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6kv5432w</identifier><datestamp>2026-07-31T15:32:28Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6kv5432w</dc:identifier><dc:title>GBZ-base and GAF-base: Indexed pangenome file formats</dc:title><dc:creator>Sirén, Jouni</dc:creator><dc:creator>Paten, Benedict</dc:creator><dc:creator>Consortium, the Human Pangenome Reference</dc:creator><dc:date>2026-07-11</dc:date><dc:description>Motivation: Existing pangenome file formats are designed for batch processing. Graphs must be loaded into memory, and alignment files must be read sequentially. Indexed file formats that can be used directly from disk would be more appropriate for interactive applications.
Results: We propose GBZ-base and GAF-base - SQLite-backed file formats comparable to GBZ and GAF. GBZ-base supports efficient extraction of local subgraphs, and GAF-base lets us extract all alignments to the subgraph. Additionally, GAF-base is smaller than any other file format for sequence-to-graph alignments.
Availability and implementation: From https://github.com/jltsiren/gbz-base and https://crates.io/crates/gbz-base under the MIT license.</dc:description><dc:subject>46 Information and Computing Sciences (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>3102 Bioinformatics and Computational Biology (for-2020)</dc:subject><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6kv5432w</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.64898/2026.07.10.737775</dc:identifier><dc:type>article</dc:type><dc:source>bioRxiv</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt998093wg</identifier><datestamp>2026-07-31T15:28:50Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt998093wg</dc:identifier><dc:title>EPOC Deep Dive Retrospective: A Brief Overview of 7 years of Science Engagement Discussions</dc:title><dc:creator>Zurawski, Jason</dc:creator><dc:creator>Robb, George</dc:creator><dc:creator>Eichelberger, Corey</dc:creator><dc:creator>Mendoza, Nathaniel</dc:creator><dc:creator>Schopf, Jennifer</dc:creator><dc:creator>Southworth, Doug</dc:creator><dc:date>2026-07-26</dc:date><dc:description>Understanding the appropriate ways cyberinfrastructure can be designed, implemented, and executed for scientific use cases requires a deep understanding of the way that researchers and educators interact with technology, and how it may be best implemented to suit their needs. The Engagement and Performance Operations Center (EPOC) has conducted a series of scientific “Deep Dives” of use cases at partner institutions to better understand the requirements for modern scientific innovation across the United States research complex. The results of these activities have revealed gaps in the way that technology has been used to foster research activities. This gap in cyberinfrastructure support has impacts for the overall productivity and innovation possibilities for scientific users.</dc:description><dc:subject>46 Information and Computing Sciences (for-2020)</dc:subject><dc:subject>4610 Library and Information Studies (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY-NC-ND</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/998093wg</dc:identifier><dc:identifier>https://escholarship.org/content/qt998093wg/qt998093wg.pdf</dc:identifier><dc:identifier>info:doi/10.1145/3785462.3815864</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Practice and Experience in Advanced Research Computing 2026: Resilient Roots + Empowered Communities</dc:source><dc:coverage>1 - 6</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5nv336xz</identifier><datestamp>2026-07-31T15:24:31Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5nv336xz</dc:identifier><dc:title>Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design</dc:title><dc:creator>Shields, Christine A</dc:creator><dc:creator>Rutz, Jonathan J</dc:creator><dc:creator>Leung, Lai-Yung</dc:creator><dc:creator>Ralph, F Martin</dc:creator><dc:creator>Wehner, Michael</dc:creator><dc:creator>Kawzenuk, Brian</dc:creator><dc:creator>Lora, Juan M</dc:creator><dc:creator>McClenny, Elizabeth</dc:creator><dc:creator>Osborne, Tashiana</dc:creator><dc:creator>Payne, Ashley E</dc:creator><dc:creator>Ullrich, Paul</dc:creator><dc:creator>Gershunov, Alexander</dc:creator><dc:creator>Goldenson, Naomi</dc:creator><dc:creator>Guan, Bin</dc:creator><dc:creator>Qian, Yun</dc:creator><dc:creator>Ramos, Alexandre M</dc:creator><dc:creator>Sarangi, Chandan</dc:creator><dc:creator>Sellars, Scott</dc:creator><dc:creator>Gorodetskaya, Irina</dc:creator><dc:creator>Kashinath, Karthik</dc:creator><dc:creator>Kurlin, Vitaliy</dc:creator><dc:creator>Mahoney, Kelly</dc:creator><dc:creator>Muszynski, Grzegorz</dc:creator><dc:creator>Pierce, Roger</dc:creator><dc:creator>Subramanian, Aneesh C</dc:creator><dc:creator>Tome, Ricardo</dc:creator><dc:creator>Waliser, Duane</dc:creator><dc:creator>Walton, Daniel</dc:creator><dc:creator>Wick, Gary</dc:creator><dc:creator>Wilson, Anna</dc:creator><dc:creator>Lavers, David</dc:creator><dc:creator>Prabhat</dc:creator><dc:creator>Collow, Allison</dc:creator><dc:creator>Krishnan, Harinarayan</dc:creator><dc:creator>Magnusdottir, Gudrun</dc:creator><dc:creator>Nguyen, Phu</dc:creator><dc:date>2018-01-01</dc:date><dc:description>Abstract. The Atmospheric River Tracking Method Intercomparison Project (ARTMIP) is an international collaborative effort to understand and quantify the uncertainties in atmospheric river (AR) science based on detection algorithm alone. Currently, there are many AR identification and tracking algorithms in the literature with a wide range of techniques and conclusions. ARTMIP strives to provide the community with information on different methodologies and provide guidance on the most appropriate algorithm for a given science question or region of interest. All ARTMIP participants will implement their detection algorithms on a specified common dataset for a defined period of time. The project is divided into two phases: Tier&amp;nbsp;1 will utilize the Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA-2) reanalysis from January 1980 to June 2017 and will be used as a baseline for all subsequent comparisons. Participation in Tier&amp;nbsp;1 is required. Tier&amp;nbsp;2 will be optional and include sensitivity studies designed around specific science questions, such as reanalysis uncertainty and climate change. High-resolution reanalysis and/or model output will be used wherever possible. Proposed metrics include AR frequency, duration, intensity, and precipitation attributable to ARs. Here, we present the ARTMIP experimental design, timeline, project requirements, and a brief description of the variety of methodologies in the current literature. We also present results from our 1-month “proof-of-concept” trial run designed to illustrate the utility and feasibility of the ARTMIP project.</dc:description><dc:subject>37 Earth Sciences (for-2020)</dc:subject><dc:subject>3701 Atmospheric Sciences (for-2020)</dc:subject><dc:subject>13 Climate Action (sdg)</dc:subject><dc:subject>04 Earth Sciences (for)</dc:subject><dc:subject>37 Earth sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5nv336xz</dc:identifier><dc:identifier>https://escholarship.org/content/qt5nv336xz/qt5nv336xz.pdf</dc:identifier><dc:identifier>info:doi/10.5194/gmd-11-2455-2018</dc:identifier><dc:type>article</dc:type><dc:source>Geoscientific Model Development, vol 11, iss 6</dc:source><dc:coverage>2455 - 2474</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt27g1q9pv</identifier><datestamp>2026-07-31T15:22:00Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt27g1q9pv</dc:identifier><dc:title>Rapid Vapor-Driven Plasma Contamination and Suppressed Net Lithium Surface Loss in the HIDRA Stellarator</dc:title><dc:creator>Rizkallah, Rabel</dc:creator><dc:creator>Shone, Andrew</dc:creator><dc:creator>O’Dea, Daniel</dc:creator><dc:creator>Curreli, Davide</dc:creator><dc:creator>Andruczyk, Daniel</dc:creator><dc:date>2026-06-10</dc:date><dc:description>Experiments in the HIDRA stellarator show that the inferred lithium net-loss suppression factor Reff, which absorbs effects from redeposition, recycling, and slow evaporation, remains between 0.91 and unity across hydrogen and helium plasmas. This implies a lithium lifetime far longer than would be expected from the evaporation rate alone. Lithium surface temperature locking appears only intermittently, and high-temperature operation consistently drives lithium release that overwhelms the available fueling. As a result, the plasma transitions quickly to a lithium-dominated regime, preventing sustained operation in vapor-shielding-relevant conditions. Despite HIDRA’s relatively low densities and particle fluxes, these findings highlight that unmitigated lithium vapor readily contaminates the confined plasma, underscoring the need for active capture or control to achieve stable lithium-based plasma–material interaction regimes.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>Energy (science-metrix)</dc:subject><dc:subject>5106 Nuclear and plasma physics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/27g1q9pv</dc:identifier><dc:identifier>https://escholarship.org/content/qt27g1q9pv/qt27g1q9pv.pdf</dc:identifier><dc:identifier>info:doi/10.1007/s10894-026-00582-y</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Fusion Energy, vol 45, iss 1</dc:source><dc:coverage>39</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3rp8p007</identifier><datestamp>2026-07-31T15:15:56Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3rp8p007</dc:identifier><dc:title>Towards fully predictive gyrokinetic full-f simulations: validation and triangularity studies in TCV</dc:title><dc:creator>Hoffmann, ACD</dc:creator><dc:creator>Bernard, TN</dc:creator><dc:creator>Francisquez, M</dc:creator><dc:creator>Hammett, GW</dc:creator><dc:creator>Hakim, A</dc:creator><dc:creator>Boedo, J</dc:creator><dc:creator>Rizkallah, R</dc:creator><dc:creator>Tsui, CK</dc:creator><dc:creator>Team, The TCV</dc:creator><dc:date>2026-04-01</dc:date><dc:description>Designing economical magnetic confinement fusion power plants motivates computational tools that can estimate plasma behavior from engineering parameters without direct reliance on experimental measurement of the plasma profiles. In this work, we present full-f global long-wavelength gyrokinetic simulations of edge and scrape-off layer turbulence in tokamaks that use only magnetic geometry, heating power, and particle inventory as inputs. Unlike many modeling approaches that employ free parameters fitted to experimental data, raising uncertainties when extrapolating to reactor scales. This approach directly simulates turbulence and resulting profiles through gyrokinetics without such empirical adjustments. This is achieved via an adaptive sourcing algorithm in Gkeyll that strictly controls energy injection and emulates particle sourcing due to neutral recycling. We show that the simulated kinetic profiles compare reasonably well with Thomson scattering and Langmuir probe data for Tokamak á Configuration Variable (TCV) discharge #65125, and that the simulations reproduce characteristic features such as blob transport and self-organized electric fields. Applying the same framework to study triangularity effects suggests mechanisms contributing to the improved confinement reported for negative triangularity (NT). Simulations of TCV discharges #65125 and #65130 indicate that NT increases the E×B flow shear (by about 20% in these cases), which correlates with reduced turbulent losses and a modest change in the distribution of power exhaust to the vessel wall. While the physical models contain approximations that can be refined in future work, the predictive capability demonstrated here, evolving multiple profile relaxation times with kinetic electron and ion models in hundreds of GPU hours, indicates the feasibility of using Gkeyll to support design studies of fusion devices.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>Bioengineering (rcdc)</dc:subject><dc:subject>gyrokinetics</dc:subject><dc:subject>turbulence</dc:subject><dc:subject>tokamak</dc:subject><dc:subject>simulation</dc:subject><dc:subject>validation</dc:subject><dc:subject>discontinuous Galerkin</dc:subject><dc:subject>gkeyll</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>Fluids &amp; Plasmas (science-metrix)</dc:subject><dc:subject>5106 Nuclear and plasma physics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3rp8p007</dc:identifier><dc:identifier>https://escholarship.org/content/qt3rp8p007/qt3rp8p007.pdf</dc:identifier><dc:identifier>info:doi/10.1088/1741-4326/ae4eff</dc:identifier><dc:type>article</dc:type><dc:source>Nuclear Fusion, vol 66, iss 4</dc:source><dc:coverage>046022</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1gn0d7gc</identifier><datestamp>2026-07-31T15:14:10Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1gn0d7gc</dc:identifier><dc:title>Enhanced turbulent transport and drift reduction in divertors at the detachment onset</dc:title><dc:creator>Rizkallah, Rabel</dc:creator><dc:creator>Boedo, Jose A</dc:creator><dc:creator>Tsui, Cedric K</dc:creator><dc:creator>Perillo, Renato</dc:creator><dc:creator>Team, the TCV</dc:creator><dc:date>2026-04-01</dc:date><dc:description>At the onset of detachment, measurements show that radial turbulent particle transport (Γ~r) increases by a factor of 2−4 above the dissipative region in the near scrape-off layer (SOL) of both single-null (SN) and snowflake (SF) divertors. This leads to a fourfold increase in the density decay length, with broadened density profiles and flattened electron temperature (Te) profiles along the divertor leg. These profiles are convected uniformly through the divertor by parallel flows, with parallel heat transport shifting from conduction- to convection-dominated. Within the dissipative divertor, the flattening and collapse of the plasma potential (Vp) profiles weaken electric field gradients, reducing the E × B drifts. Turbulent spreading upstream of the dissipative region thus emerges as the dominant mechanism for radial transport at the detachment onset. Radial and poloidal drifts are shown to move respectively ∼10%–20% and ∼15%–30% of the target-normal particle and heat flux delivered to the outer strike point in attached conditions, but their contribution drops to a few percent at the detachment onset.</dc:description><dc:subject>plasma turbulence</dc:subject><dc:subject>turbulent transport</dc:subject><dc:subject>divertor physics</dc:subject><dc:subject>divertor detachment</dc:subject><dc:subject>ExB flows</dc:subject><dc:subject>parallel transport</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>Fluids &amp; Plasmas (science-metrix)</dc:subject><dc:subject>5106 Nuclear and plasma physics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1gn0d7gc</dc:identifier><dc:identifier>https://escholarship.org/content/qt1gn0d7gc/qt1gn0d7gc.pdf</dc:identifier><dc:identifier>info:doi/10.1088/1741-4326/ae4fe0</dc:identifier><dc:type>article</dc:type><dc:source>Nuclear Fusion, vol 66, iss 4</dc:source><dc:coverage>046028</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3896q422</identifier><datestamp>2026-07-31T15:13:01Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3896q422</dc:identifier><dc:title>Progress and innovations in the TCV tokamak research programme</dc:title><dc:creator>Theiler, C</dc:creator><dc:creator>Adamek, J</dc:creator><dc:creator>Agostini, M</dc:creator><dc:creator>Albert, C</dc:creator><dc:creator>Alberti, S</dc:creator><dc:creator>Alberti, G</dc:creator><dc:creator>Aleiferis, S</dc:creator><dc:creator>Alessi, E</dc:creator><dc:creator>Anastassiou, G</dc:creator><dc:creator>Andrèbe, Y</dc:creator><dc:creator>Antonenas, Y</dc:creator><dc:creator>Apruzzese, GM</dc:creator><dc:creator>Aucone, L</dc:creator><dc:creator>Auriemma, F</dc:creator><dc:creator>Ayllon-Guerola, J</dc:creator><dc:creator>Aymerich, E</dc:creator><dc:creator>Bagnato, F</dc:creator><dc:creator>Bairaktaris, F</dc:creator><dc:creator>Balestri, A</dc:creator><dc:creator>Ball, J</dc:creator><dc:creator>Balugani, S</dc:creator><dc:creator>Baquero-Ruiz, M</dc:creator><dc:creator>Bardsley, O</dc:creator><dc:creator>Battey, AF</dc:creator><dc:creator>Bauer, T</dc:creator><dc:creator>Bechtle, S</dc:creator><dc:creator>Bernert, M</dc:creator><dc:creator>Bin, W</dc:creator><dc:creator>Blanchard, P</dc:creator><dc:creator>Boedo, J</dc:creator><dc:creator>Bolzonella, T</dc:creator><dc:creator>Bonalumi, L</dc:creator><dc:creator>Bonisolli, M</dc:creator><dc:creator>Bosman, T</dc:creator><dc:creator>Bouffet-Klein, R</dc:creator><dc:creator>Boyer, MD</dc:creator><dc:creator>Bramucci, L</dc:creator><dc:creator>Braunmüller, F</dc:creator><dc:creator>Breizman, BN</dc:creator><dc:creator>Brida, D</dc:creator><dc:creator>Brown, B</dc:creator><dc:creator>Brunner, S</dc:creator><dc:creator>Buchli, J</dc:creator><dc:creator>Buermans, J</dc:creator><dc:creator>Busi, D</dc:creator><dc:creator>Camenen, Y</dc:creator><dc:creator>Cardinali, A</dc:creator><dc:creator>Carli, S</dc:creator><dc:creator>Carnevale, D</dc:creator><dc:creator>Carpanese, F</dc:creator><dc:creator>Carpita, M</dc:creator><dc:creator>Casolari, A</dc:creator><dc:creator>Castaldo, C</dc:creator><dc:creator>Cavedon, M</dc:creator><dc:creator>Cazabonne, J</dc:creator><dc:creator>Cerovsky, J</dc:creator><dc:creator>Chapman-Oplopoiou, B</dc:creator><dc:creator>Chellai, O</dc:creator><dc:creator>Chervonyi, Y</dc:creator><dc:creator>Chlum, J</dc:creator><dc:creator>Chmielewski, P</dc:creator><dc:creator>Chomiczewska, A</dc:creator><dc:creator>Cicioni, R</dc:creator><dc:creator>Ciraolo, G</dc:creator><dc:creator>Classen, I</dc:creator><dc:creator>Clod, A</dc:creator><dc:creator>Coda, S</dc:creator><dc:creator>Colandrea, C</dc:creator><dc:creator>Contré, CE</dc:creator><dc:creator>Coosemans, R</dc:creator><dc:creator>Cordaro, L</dc:creator><dc:creator>Cornelissen, M</dc:creator><dc:creator>Craciunescu, T</dc:creator><dc:creator>Zabala, DJ Cruz</dc:creator><dc:creator>Czarski, M</dc:creator><dc:creator>Davies, I</dc:creator><dc:creator>Dawson, C</dc:creator><dc:creator>De Tommasi, G</dc:creator><dc:creator>De Vylder, B</dc:creator><dc:creator>Decker, J</dc:creator><dc:creator>Derks, GL</dc:creator><dc:creator>Devlaminck, E</dc:creator><dc:creator>Di Giannatale, G</dc:creator><dc:creator>di Grazia, LE</dc:creator><dc:creator>Ding, R</dc:creator><dc:creator>Donner, C</dc:creator><dc:creator>Dreval, M</dc:creator><dc:creator>Dritselis, C</dc:creator><dc:creator>Dubbioso, S</dc:creator><dc:creator>Ducker, R</dc:creator><dc:creator>Dunne, M</dc:creator><dc:creator>Durr-Legoupil-Nicoud, G</dc:creator><dc:creator>Duval, BP</dc:creator><dc:creator>Édes, L</dc:creator><dc:creator>Ernst, S</dc:creator><dc:creator>Faitsch, M</dc:creator><dc:creator>Fan, C</dc:creator><dc:creator>Fasoli, A</dc:creator><dc:creator>Fedorczak, N</dc:creator><dc:creator>Felici, F</dc:creator><dc:date>2026-11-01</dc:date><dc:description>Research on the Tokamak à Configuration Variable addresses a wide range of key questions relevant to ITER and future fusion power plants. Over the past two years, highly productive experimental campaigns have led to major advances across several areas: the ITER baseline scenario; pedestal properties in low-collisionality, peeling-limited conditions; and the development of high- βN, non-inductive regimes. Alternative high-confinement scenarios have likewise received significant attention, with remarkable progress in quasi-continuous exhaust operation, X-point radiator plasmas, and negative triangularity configurations. Substantial achievements were also made in the mitigation or benign termination of runaway electron beams, in elucidating fast-ion loss mechanisms, and in improving exhaust behaviour in both conventional and alternative divertor geometries. These experimental results have been strongly supported by advances in modelling and their direct application to the experiment, ranging from gyrokinetic simulations of core and pedestal turbulence to fluid-based studies of scrape-off layer and divertor physics in diverse geometries. Plasma control has taken on an increasingly important role, with model-based and data-driven approaches now closely intertwined with physics studies. This article provides a overview of these recent activities, together with a brief outlook on forthcoming upgrades and next steps.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>Fluids &amp; Plasmas (science-metrix)</dc:subject><dc:subject>5106 Nuclear and plasma physics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3896q422</dc:identifier><dc:identifier>https://escholarship.org/content/qt3896q422/qt3896q422.pdf</dc:identifier><dc:identifier>info:doi/10.1088/1741-4326/ae6d12</dc:identifier><dc:type>article</dc:type><dc:source>Nuclear Fusion, vol 66, iss 11</dc:source><dc:coverage>116007</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3nr7d3d9</identifier><datestamp>2026-07-31T15:12:57Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3nr7d3d9</dc:identifier><dc:title>Dietary sources of cumulative phthalates exposure among the U.S. general population in NHANES 2005–2014</dc:title><dc:creator>Varshavsky, Julia R</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:creator>Woodruff, Tracey J</dc:creator><dc:creator>Zota, Ami R</dc:creator><dc:date>2018-06-01</dc:date><dc:description>BACKGROUND: Anti-androgenic phthalates are reproductive toxicants that may have additive effects on male development. Diet is the primary exposure source for most phthalates, which contaminate the food supply through food contact materials and industrialized production.
OBJECTIVE: To compare dietary sources of cumulative phthalates exposure between "food at home" (e.g. food consumed from a grocery store) and "food away from home" (e.g. food consumed from fast food/restaurants and cafeterias) in the U.S. general population.
METHODS: We estimated cumulative phthalates exposure by calculating daily intake from metabolite concentrations in urinary spot samples for 10,253 participants (≥6 years old) using National Health and Nutrition Examination Survey (NHANES, 2005-2014) data. We constructed a biologically relevant metric of phthalates daily intake (∑androgen-disruptor, μg/kg/day) by converting phthalates into anti-androgen equivalent terms prior to their summation. Particular foods and the percent of total energy intake (TEI) consumed from multiple dining out sources were ascertained from 24-h recall surveys. Associations with ∑androgen-disruptor levels were estimated for children, adolescents, and adults using multivariable linear regression.
RESULTS: We observed a consistent positive association between dining out and Σandrogen-disruptor levels across the study population (p-trend &amp;lt;0.0001). Among adolescents, high consumers of foods outside the home had 55% (95% CI: 35%, 78%) higher Σandrogen-disruptor levels compared to those who only consumed food at home. The contribution of specific dining out sources to Σandrogen-disruptor levels varied by age group. For example, cafeteria food was associated with 15% (95% CI: 4.0%, 28%) and 64% (95% CI: 40%, 92%) higher Σandrogen-disruptor levels in children and adults, respectively. Particular foods, especially sandwiches (i.e. cheeseburgers), were associated with increased Σandrogen-disruptor levels only if they were purchased away from home (p &amp;lt; 0.01).
CONCLUSION: Dining out may be an important source of biologically relevant cumulative phthalates exposure among the U.S.
POPULATION: Future studies should evaluate modifiable production practices that remove phthalates from the food supply in addition to the efficacy of interventions that promote eating fresh foods prepared at home.</dc:description><dc:subject>4206 Public Health (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3210 Nutrition and Dietetics (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Nutrition (rcdc)</dc:subject><dc:subject>Endocrine Disruptors (rcdc)</dc:subject><dc:subject>2.3 Psychological</dc:subject><dc:subject>social and economic factors (hrcs-rac)</dc:subject><dc:subject>Cancer (hrcs-hc)</dc:subject><dc:subject>Oral and gastrointestinal (hrcs-hc)</dc:subject><dc:subject>Stroke (hrcs-hc)</dc:subject><dc:subject>Cardiovascular (hrcs-hc)</dc:subject><dc:subject>Metabolic and endocrine (hrcs-hc)</dc:subject><dc:subject>2 Zero Hunger (sdg)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Cross-Sectional Studies (mesh)</dc:subject><dc:subject>Diet (mesh)</dc:subject><dc:subject>Environmental Exposure (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Nutrition Surveys (mesh)</dc:subject><dc:subject>Phthalic Acids (mesh)</dc:subject><dc:subject>United States (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Chemical mixtures</dc:subject><dc:subject>Endocrine disruption</dc:subject><dc:subject>Fast food</dc:subject><dc:subject>Cumulative assessment</dc:subject><dc:subject>Food contact materials</dc:subject><dc:subject>Consumer product chemicals</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Phthalic Acids (mesh)</dc:subject><dc:subject>Diet (mesh)</dc:subject><dc:subject>Nutrition Surveys (mesh)</dc:subject><dc:subject>Cross-Sectional Studies (mesh)</dc:subject><dc:subject>Environmental Exposure (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>United States (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Chemical mixtures</dc:subject><dc:subject>Consumer product chemicals</dc:subject><dc:subject>Cumulative assessment</dc:subject><dc:subject>Endocrine disruption</dc:subject><dc:subject>Fast food</dc:subject><dc:subject>Food contact materials</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Cross-Sectional Studies (mesh)</dc:subject><dc:subject>Diet (mesh)</dc:subject><dc:subject>Environmental Exposure (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Nutrition Surveys (mesh)</dc:subject><dc:subject>Phthalic Acids (mesh)</dc:subject><dc:subject>United States (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Environmental Sciences (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3nr7d3d9</dc:identifier><dc:identifier>https://escholarship.org/content/qt3nr7d3d9/qt3nr7d3d9.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.envint.2018.02.029</dc:identifier><dc:type>article</dc:type><dc:source>Environment International, vol 115</dc:source><dc:coverage>417 - 429</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt46m297dc</identifier><datestamp>2026-07-31T15:12:19Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt46m297dc</dc:identifier><dc:title>Initial screening transferrin saturation values, serum ferritin concentrations, and HFE genotypes in Native Americans and whites in the Hemochromatosis and Iron Overload Screening Study</dc:title><dc:creator>Barton, JC</dc:creator><dc:creator>Acton</dc:creator><dc:creator>Lovato, L</dc:creator><dc:creator>Speechley</dc:creator><dc:creator>McLaren, CE</dc:creator><dc:creator>Harris, EL</dc:creator><dc:creator>Reboussin, DM</dc:creator><dc:creator>Adams, PC</dc:creator><dc:creator>Dawkins, FW</dc:creator><dc:creator>Gordeuk, VR</dc:creator><dc:creator>Walker, AP</dc:creator><dc:creator>Investigators, for the Hemochromatosis and Iron Overload Screening Study Research</dc:creator><dc:date>2006-01-01</dc:date><dc:description>We compared initial screening transferrin saturation (TfSat) and serum ferritin (SF) phenotypes and HFE C282Y and H63D genotypes of 645 Native American and 43,453 white Hemochromatosis and Iron Overload Screening Study participants who did not report a previous diagnosis of hemochromatosis or iron overload. Elevated measurements were defined as TfSat &amp;gt;50% in men and &amp;gt;45% in women and SF &amp;gt;300 ng/ml in men and &amp;gt;200 ng/ml in women. Mean TfSat was 31% in Native American men and 32% in white men (p = 0.0337) and 25% in Native American women and 27% in white women (p &amp;lt; 0.0001). Mean SF was 153 microg/l in Native American and 151 microg/l in white men (p = 0.8256); mean SF was 55 microg/l in Native American women and 63 microg/l in white women (p = 0.0015). The C282Y allele frequency was 0.0340 in Native Americans and 0.0683 in whites (p &amp;lt; 0.0001). The H63D allele frequency was 0.1150 in Native Americans and 0.1532 in whites (p = 0.0001). We conclude that the screening TfSat and SF phenotypes of Native Americans are similar to those of whites. The allele frequencies of HFE C282Y and H63D are significantly lower in Native Americans than in whites.</dc:description><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3105 Genetics (for-2020)</dc:subject><dc:subject>Genetics (rcdc)</dc:subject><dc:subject>American Indian or Alaska Native (rcdc)</dc:subject><dc:subject>Hematology (rcdc)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Ferritins (mesh)</dc:subject><dc:subject>Gene Frequency (mesh)</dc:subject><dc:subject>Genotype (mesh)</dc:subject><dc:subject>Hemochromatosis (mesh)</dc:subject><dc:subject>Hemochromatosis Protein (mesh)</dc:subject><dc:subject>Histocompatibility Antigens Class I (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Indians</dc:subject><dc:subject>North American (mesh)</dc:subject><dc:subject>Iron Overload (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Membrane Proteins (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Phenotype (mesh)</dc:subject><dc:subject>Transferrin (mesh)</dc:subject><dc:subject>White People (mesh)</dc:subject><dc:subject>ferritin</dc:subject><dc:subject>hemochromatosis</dc:subject><dc:subject>HFE</dc:subject><dc:subject>iron overload</dc:subject><dc:subject>transferrin saturation</dc:subject><dc:subject>Hemochromatosis and Iron Overload Screening Study Research Investigators</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Hemochromatosis (mesh)</dc:subject><dc:subject>Iron Overload (mesh)</dc:subject><dc:subject>Transferrin (mesh)</dc:subject><dc:subject>Membrane Proteins (mesh)</dc:subject><dc:subject>Histocompatibility Antigens Class I (mesh)</dc:subject><dc:subject>Gene Frequency (mesh)</dc:subject><dc:subject>Genotype (mesh)</dc:subject><dc:subject>Phenotype (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Indians</dc:subject><dc:subject>North American (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Ferritins (mesh)</dc:subject><dc:subject>Hemochromatosis Protein (mesh)</dc:subject><dc:subject>White People (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Ferritins (mesh)</dc:subject><dc:subject>Gene Frequency (mesh)</dc:subject><dc:subject>Genotype (mesh)</dc:subject><dc:subject>Hemochromatosis (mesh)</dc:subject><dc:subject>Hemochromatosis Protein (mesh)</dc:subject><dc:subject>Histocompatibility Antigens Class I (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Indians</dc:subject><dc:subject>North American (mesh)</dc:subject><dc:subject>Iron Overload (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Membrane Proteins (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Phenotype (mesh)</dc:subject><dc:subject>Transferrin (mesh)</dc:subject><dc:subject>White People (mesh)</dc:subject><dc:subject>0604 Genetics (for)</dc:subject><dc:subject>1103 Clinical Sciences (for)</dc:subject><dc:subject>Genetics &amp; Heredity (science-metrix)</dc:subject><dc:subject>3105 Genetics (for-2020)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/46m297dc</dc:identifier><dc:identifier>https://escholarship.org/content/qt46m297dc/qt46m297dc.pdf</dc:identifier><dc:identifier>info:doi/10.1111/j.1399-0004.2006.00553.x</dc:identifier><dc:type>article</dc:type><dc:source>Clinical Genetics, vol 69, iss 1</dc:source><dc:coverage>48 - 57</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6ff8w98z</identifier><datestamp>2026-07-31T15:12:05Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6ff8w98z</dc:identifier><dc:title>Caged luciferins enable rapid multicomponent bioluminescence imaging</dc:title><dc:creator>Navarro, Mariana X</dc:creator><dc:creator>Brennan, Caroline K</dc:creator><dc:creator>Love, Anna C</dc:creator><dc:creator>Prescher, Jennifer A</dc:creator><dc:date>2024-01-01</dc:date><dc:description>Bioluminescence is a sensitive technique for imaging biological features over time. Historically, though, the modality has been challenging to employ for multiplexed tracking due to a lack of resolvable luciferase-luciferin pairs. Recent years have seen the development of numerous orthogonal probes for multi-parameter imaging. While successful, generating such tools often requires complex syntheses and lengthy enzyme evolution campaigns. This work showcases an alternative strategy for multiplexed bioluminescence that takes advantage of already-orthogonal caged luciferins and established uncaging enzymes. These probes generate unique bioluminescent signals that can be distinguished via a linear unmixing algorithm. Caged luciferins enabled two- and three-component imaging on the minutes time scale. We further showed that the tools can be used in conjunction with endogenous enzymes for multiplexed studies. Collectively, this approach lowers the barrier to multicomponent bioluminescence imaging and can be readily adopted by the broader community.</dc:description><dc:subject>3401 Analytical Chemistry (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>Biomedical Imaging (rcdc)</dc:subject><dc:subject>Luciferins (mesh)</dc:subject><dc:subject>Luminescent Measurements (mesh)</dc:subject><dc:subject>Luciferases (mesh)</dc:subject><dc:subject>Firefly Luciferin (mesh)</dc:subject><dc:subject>bioluminescence</dc:subject><dc:subject>imaging</dc:subject><dc:subject>luciferase</dc:subject><dc:subject>luciferin</dc:subject><dc:subject>substrate unmixing</dc:subject><dc:subject>Firefly Luciferin (mesh)</dc:subject><dc:subject>Luciferases (mesh)</dc:subject><dc:subject>Luminescent Measurements (mesh)</dc:subject><dc:subject>Luciferins (mesh)</dc:subject><dc:subject>bioluminescence</dc:subject><dc:subject>imaging</dc:subject><dc:subject>luciferase</dc:subject><dc:subject>luciferin</dc:subject><dc:subject>substrate unmixing</dc:subject><dc:subject>Luciferins (mesh)</dc:subject><dc:subject>Luminescent Measurements (mesh)</dc:subject><dc:subject>Luciferases (mesh)</dc:subject><dc:subject>Firefly Luciferin (mesh)</dc:subject><dc:subject>02 Physical Sciences (for)</dc:subject><dc:subject>03 Chemical Sciences (for)</dc:subject><dc:subject>06 Biological Sciences (for)</dc:subject><dc:subject>Biophysics (science-metrix)</dc:subject><dc:subject>31 Biological sciences (for-2020)</dc:subject><dc:subject>34 Chemical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY-NC-ND</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6ff8w98z</dc:identifier><dc:identifier>https://escholarship.org/content/qt6ff8w98z/qt6ff8w98z.pdf</dc:identifier><dc:identifier>info:doi/10.1111/php.13814</dc:identifier><dc:type>article</dc:type><dc:source>Photochemistry and Photobiology, vol 100, iss 1</dc:source><dc:coverage>67 - 74</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3907d94k</identifier><datestamp>2026-07-31T15:12:02Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3907d94k</dc:identifier><dc:title>Red-Shifted Coumarin Luciferins for Improved Bioluminescence Imaging</dc:title><dc:creator>Love, Anna C</dc:creator><dc:creator>Caldwell, Donald R</dc:creator><dc:creator>Kolbaba-Kartchner, Bethany</dc:creator><dc:creator>Townsend, Katherine M</dc:creator><dc:creator>Halbers, Lila P</dc:creator><dc:creator>Yao, Zi</dc:creator><dc:creator>Brennan, Caroline K</dc:creator><dc:creator>Ivanic, Joseph</dc:creator><dc:creator>Hadjian, Tanya</dc:creator><dc:creator>Mills, Jeremy H</dc:creator><dc:creator>Schnermann, Martin J</dc:creator><dc:creator>Prescher, Jennifer A</dc:creator><dc:date>2023-02-15</dc:date><dc:description>Multicomponent bioluminescence imaging in vivo requires an expanded collection of tissue-penetrant probes. Toward this end, we generated a new class of near-infrared (NIR) emitting coumarin luciferin analogues (CouLuc-3s). The scaffolds were easily accessed from commercially available dyes. Complementary mutant luciferases for the CouLuc-3 analogues were also identified. The brightest probes enabled sensitive imaging in vivo. The CouLuc-3 scaffolds are also orthogonal to popular bioluminescent reporters and can be used for multicomponent imaging applications. Collectively, this work showcases a new set of bioluminescent tools that can be readily implemented for multiplexed imaging in a variety of biological settings.</dc:description><dc:subject>40 Engineering (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>4003 Biomedical Engineering (for-2020)</dc:subject><dc:subject>Biomedical Imaging (rcdc)</dc:subject><dc:subject>Generic health relevance (hrcs-hc)</dc:subject><dc:subject>Luciferins (mesh)</dc:subject><dc:subject>Firefly Luciferin (mesh)</dc:subject><dc:subject>Luminescent Measurements (mesh)</dc:subject><dc:subject>Luciferases (mesh)</dc:subject><dc:subject>Coumarins (mesh)</dc:subject><dc:subject>Firefly Luciferin (mesh)</dc:subject><dc:subject>Coumarins (mesh)</dc:subject><dc:subject>Luciferases (mesh)</dc:subject><dc:subject>Luminescent Measurements (mesh)</dc:subject><dc:subject>Luciferins (mesh)</dc:subject><dc:subject>Luciferins (mesh)</dc:subject><dc:subject>Firefly Luciferin (mesh)</dc:subject><dc:subject>Luminescent Measurements (mesh)</dc:subject><dc:subject>Luciferases (mesh)</dc:subject><dc:subject>Coumarins (mesh)</dc:subject><dc:subject>03 Chemical Sciences (for)</dc:subject><dc:subject>General Chemistry (science-metrix)</dc:subject><dc:subject>34 Chemical sciences (for-2020)</dc:subject><dc:subject>40 Engineering (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3907d94k</dc:identifier><dc:identifier>https://escholarship.org/content/qt3907d94k/qt3907d94k.pdf</dc:identifier><dc:identifier>info:doi/10.1021/jacs.2c07220</dc:identifier><dc:type>article</dc:type><dc:source>Journal of the American Chemical Society, vol 145, iss 6</dc:source><dc:coverage>3335 - 3345</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7hn6t32j</identifier><datestamp>2026-07-31T15:11:59Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7hn6t32j</dc:identifier><dc:title>Fluorogenic Cyclopropenones for Multicomponent, Real-Time Imaging</dc:title><dc:creator>Heiss, Tyler K</dc:creator><dc:creator>Dorn, Robert S</dc:creator><dc:creator>Ferreira, Andrew J</dc:creator><dc:creator>Love, Anna C</dc:creator><dc:creator>Prescher, Jennifer A</dc:creator><dc:date>2022-05-04</dc:date><dc:description>Fluorogenic bioorthogonal reactions enable biomolecule visualization in real time. These reactions comprise reporters that "light up" upon reaction with complementary partners. While the spectrum of fluorogenic chemistries is expanding, few transformations are compatible with live cells due to cross-reactivities or insufficient signal turn-on. To address the need for more suitable chemistries for cellular imaging, we developed a fluorogenic reaction featuring cyclopropenone reporters and phosphines. The transformation involves regioselective activation and cyclization of cyclopropenones to form coumarin products. With optimal probes, the reaction provides &amp;gt;1600-fold signal turn-on, one of the highest fluorescence enhancements reported to date. The bioorthogonal motifs were evaluated in vitro and in cells. The reaction was also found to be compatible with other common fluorogenic transformations, enabling multicomponent, real-time imaging. Collectively, these data suggest that the cyclopropenone-phosphine reaction will bolster efforts to track biomolecule targets in their native settings.</dc:description><dc:subject>3405 Organic Chemistry (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>Biomedical Imaging (rcdc)</dc:subject><dc:subject>Generic health relevance (hrcs-hc)</dc:subject><dc:subject>Cyclopropanes (mesh)</dc:subject><dc:subject>Fluorescent Dyes (mesh)</dc:subject><dc:subject>Cyclopropanes (mesh)</dc:subject><dc:subject>Fluorescent Dyes (mesh)</dc:subject><dc:subject>Cyclopropanes (mesh)</dc:subject><dc:subject>Fluorescent Dyes (mesh)</dc:subject><dc:subject>03 Chemical Sciences (for)</dc:subject><dc:subject>General Chemistry (science-metrix)</dc:subject><dc:subject>34 Chemical sciences (for-2020)</dc:subject><dc:subject>40 Engineering (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7hn6t32j</dc:identifier><dc:identifier>https://escholarship.org/content/qt7hn6t32j/qt7hn6t32j.pdf</dc:identifier><dc:identifier>info:doi/10.1021/jacs.2c02058</dc:identifier><dc:type>article</dc:type><dc:source>Journal of the American Chemical Society, vol 144, iss 17</dc:source><dc:coverage>7871 - 7880</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt22v240qs</identifier><datestamp>2026-07-31T15:11:55Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt22v240qs</dc:identifier><dc:title>Coumarin luciferins and mutant luciferases for robust multi-component bioluminescence imaging</dc:title><dc:creator>Yao, Zi</dc:creator><dc:creator>Caldwell, Donald R</dc:creator><dc:creator>Love, Anna C</dc:creator><dc:creator>Kolbaba-Kartchner, Bethany</dc:creator><dc:creator>Mills, Jeremy H</dc:creator><dc:creator>Schnermann, Martin J</dc:creator><dc:creator>Prescher, Jennifer A</dc:creator><dc:date>2021-09-15</dc:date><dc:description>Multi-component bioluminescence imaging requires an expanded collection of luciferase-luciferin pairs that emit far-red or near-infrared light. Toward this end, we prepared a new class of luciferins based on a red-shifted coumarin scaffold. These probes (CouLuc-1s) were accessed in a two-step sequence via direct modification of commercial dyes. The bioluminescent properties of the CouLuc-1 analogs were also characterized, and complementary luciferase enzymes were identified using a two-pronged screening strategy. The optimized enzyme-substrate pairs displayed robust photon outputs and emitted a significant portion of near-infrared light. The CouLuc-1 scaffolds are also structurally distinct from existing probes, enabling rapid multi-component imaging. Collectively, this work provides novel bioluminescent tools along with a blueprint for crafting additional fluorophore-derived probes for multiplexed imaging.</dc:description><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>Biomedical Imaging (rcdc)</dc:subject><dc:subject>Generic health relevance (hrcs-hc)</dc:subject><dc:subject>03 Chemical Sciences (for)</dc:subject><dc:subject>34 Chemical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY-NC</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/22v240qs</dc:identifier><dc:identifier>https://escholarship.org/content/qt22v240qs/qt22v240qs.pdf</dc:identifier><dc:identifier>info:doi/10.1039/d1sc03114g</dc:identifier><dc:type>article</dc:type><dc:source>Chemical Science, vol 12, iss 35</dc:source><dc:coverage>11684 - 11691</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt70h0p2wp</identifier><datestamp>2026-07-31T15:11:52Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt70h0p2wp</dc:identifier><dc:title>Caged Cumate Enables Proximity‐Dependent Control Over Gene Expression</dc:title><dc:creator>Love, Anna C</dc:creator><dc:creator>Tran, Sabrina H</dc:creator><dc:creator>Prescher, Jennifer A</dc:creator><dc:date>2021-07-15</dc:date><dc:description>Cell-cell interactions underlie diverse physiological processes yet remain challenging to examine with conventional imaging tools. Here we report a novel strategy to illuminate cell proximity using transcriptional activators. We repurposed cumate, a small molecule inducer of gene expression, by caging its key carboxylate group with a nitrile. Nitrilase-expressing activator cells released the cage, liberating cumate for consumption by reporter cells. Reporter cells comprising a cumate-responsive switch expressed a target gene when in close proximity to the activator cells. Overall, this strategy provides a versatile platform to image and potentially manipulate cellular interactions over time.</dc:description><dc:subject>3101 Biochemistry and Cell Biology (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>Biotechnology (rcdc)</dc:subject><dc:subject>Genetics (rcdc)</dc:subject><dc:subject>1.1 Normal biological development and functioning (hrcs-rac)</dc:subject><dc:subject>Generic health relevance (hrcs-hc)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Nitriles (mesh)</dc:subject><dc:subject>Aminohydrolases (mesh)</dc:subject><dc:subject>Gene Expression Regulation (mesh)</dc:subject><dc:subject>Molecular Structure (mesh)</dc:subject><dc:subject>caged probe</dc:subject><dc:subject>gene transcription</dc:subject><dc:subject>cumate</dc:subject><dc:subject>cellular contact</dc:subject><dc:subject>imaging</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Nitriles (mesh)</dc:subject><dc:subject>Aminohydrolases (mesh)</dc:subject><dc:subject>Gene Expression Regulation (mesh)</dc:subject><dc:subject>Molecular Structure (mesh)</dc:subject><dc:subject>caged probe</dc:subject><dc:subject>cellular contact</dc:subject><dc:subject>cumate</dc:subject><dc:subject>gene transcription</dc:subject><dc:subject>imaging</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Nitriles (mesh)</dc:subject><dc:subject>Aminohydrolases (mesh)</dc:subject><dc:subject>Gene Expression Regulation (mesh)</dc:subject><dc:subject>Molecular Structure (mesh)</dc:subject><dc:subject>0304 Medicinal and Biomolecular Chemistry (for)</dc:subject><dc:subject>0601 Biochemistry and Cell Biology (for)</dc:subject><dc:subject>Organic Chemistry (science-metrix)</dc:subject><dc:subject>3101 Biochemistry and cell biology (for-2020)</dc:subject><dc:subject>3404 Medicinal and biomolecular chemistry (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/70h0p2wp</dc:identifier><dc:identifier>https://escholarship.org/content/qt70h0p2wp/qt70h0p2wp.pdf</dc:identifier><dc:identifier>info:doi/10.1002/cbic.202100158</dc:identifier><dc:type>article</dc:type><dc:source>ChemBioChem, vol 22, iss 14</dc:source><dc:coverage>2440 - 2448</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6347r910</identifier><datestamp>2026-07-31T15:11:49Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6347r910</dc:identifier><dc:title>Seeing (and Using) the Light: Recent Developments in Bioluminescence Technology</dc:title><dc:creator>Love, Anna C</dc:creator><dc:creator>Prescher, Jennifer A</dc:creator><dc:date>2020-08-01</dc:date><dc:description>Bioluminescence has long been used to image biological processes in&amp;nbsp;vivo. This technology features luciferase enzymes and luciferin small molecules that produce visible light. Bioluminescent photons can be detected in tissues and live organisms, enabling sensitive and noninvasive readouts on physiological function. Traditional applications have focused on tracking cells and gene expression patterns, but new probes are pushing the frontiers of what can be visualized. The past few years have also seen the merger of bioluminescence with optogenetic platforms. Luciferase-luciferin reactions can drive light-activatable proteins, ultimately triggering signal transduction and other downstream events. This review highlights these and other recent advances in bioluminescence technology, with an emphasis on tool development. We showcase how&amp;nbsp;new luciferins and engineered luciferases are expanding the scope of optical imaging. We also highlight how bioluminescent systems are being leveraged not just for sensing-but also controlling-biological processes.</dc:description><dc:subject>3101 Biochemistry and Cell Biology (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>Biotechnology (rcdc)</dc:subject><dc:subject>Biomedical Imaging (rcdc)</dc:subject><dc:subject>Bioengineering (rcdc)</dc:subject><dc:subject>1.3 Chemical and physical sciences (hrcs-rac)</dc:subject><dc:subject>Generic health relevance (hrcs-hc)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Channelrhodopsins (mesh)</dc:subject><dc:subject>Firefly Luciferin (mesh)</dc:subject><dc:subject>Imidazoles (mesh)</dc:subject><dc:subject>Light (mesh)</dc:subject><dc:subject>Luciferases (mesh)</dc:subject><dc:subject>Luminescent Measurements (mesh)</dc:subject><dc:subject>Microscopy</dc:subject><dc:subject>Fluorescence (mesh)</dc:subject><dc:subject>Neoplasms (mesh)</dc:subject><dc:subject>Optical Imaging (mesh)</dc:subject><dc:subject>Pyrazines (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Neoplasms (mesh)</dc:subject><dc:subject>Imidazoles (mesh)</dc:subject><dc:subject>Pyrazines (mesh)</dc:subject><dc:subject>Firefly Luciferin (mesh)</dc:subject><dc:subject>Luciferases (mesh)</dc:subject><dc:subject>Microscopy</dc:subject><dc:subject>Fluorescence (mesh)</dc:subject><dc:subject>Luminescent Measurements (mesh)</dc:subject><dc:subject>Light (mesh)</dc:subject><dc:subject>Optical Imaging (mesh)</dc:subject><dc:subject>Channelrhodopsins (mesh)</dc:subject><dc:subject>bioluminescence</dc:subject><dc:subject>imaging</dc:subject><dc:subject>luciferase</dc:subject><dc:subject>luciferin</dc:subject><dc:subject>optogenetics</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Channelrhodopsins (mesh)</dc:subject><dc:subject>Firefly Luciferin (mesh)</dc:subject><dc:subject>Imidazoles (mesh)</dc:subject><dc:subject>Light (mesh)</dc:subject><dc:subject>Luciferases (mesh)</dc:subject><dc:subject>Luminescent Measurements (mesh)</dc:subject><dc:subject>Microscopy</dc:subject><dc:subject>Fluorescence (mesh)</dc:subject><dc:subject>Neoplasms (mesh)</dc:subject><dc:subject>Optical Imaging (mesh)</dc:subject><dc:subject>Pyrazines (mesh)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6347r910</dc:identifier><dc:identifier>https://escholarship.org/content/qt6347r910/qt6347r910.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.chembiol.2020.07.022</dc:identifier><dc:type>article</dc:type><dc:source>Cell Chemical Biology, vol 27, iss 8</dc:source><dc:coverage>904 - 920</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3qj3j2wv</identifier><datestamp>2026-07-31T15:06:30Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3qj3j2wv</dc:identifier><dc:title>Shedding light on U.S. small and midsize data centers: Exploring insights from the CBECS survey</dc:title><dc:creator>Lei, Nuoa</dc:creator><dc:creator>Ganeshalingam, Mohan</dc:creator><dc:creator>Masanet, Eric</dc:creator><dc:creator>Smith, Sarah</dc:creator><dc:creator>Shehabi, Arman</dc:creator><dc:date>2025-07-01</dc:date><dc:description>As demand for digital services accelerates, the energy and environmental footprint of data centers faces increasing scrutiny. While hyperscale cloud facilities have driven efficiency gains, small and midsize U.S. data centers remain a critical yet underexamined segment with significant untapped potential for energy savings. This study leverages data from the Commercial Buildings Energy Consumption Survey (CBECS) to analyze trends in server stocks, computing customers, cooling system adoption and efficiency, and geospatial distribution from 2012 to 2018. Findings reveal a sharp decline in small and midsize data centers, from 1.764 million to 1.398 million, with server counts dropping from 5.177 million to 4.262 million—aligning with the broader shift toward cloud computing. More than 40&amp;nbsp;% of servers in small data centers and 55&amp;nbsp;% in midsize data centers are housed in office buildings, and over half of all servers are concentrated in climate zones 5A (cold), 3A (mixed-humid), and 4A (mixed-humid), with the highest densities in metropolitan hubs. While direct expansion units remain the dominant cooling system, a clear transition toward more energy-efficient solutions, particularly air economizers, is evident. By integrating server and cooling system distributions, we estimate Power Usage Effectiveness (PUE) and Water Usage Effectiveness (WUE) for U.S. data centers by size and year. Results show that midsize data centers are more energy-efficient but more water-intensive due to the widespread use of water-cooled chillers. These findings highlight the trade-offs in cooling system selection and provide a critical foundation for policies aimed at enhancing efficiency in an evolving data center landscape.</dc:description><dc:subject>33 Built Environment and Design (for-2020)</dc:subject><dc:subject>3301 Architecture (for-2020)</dc:subject><dc:subject>7 Affordable and Clean Energy (sdg)</dc:subject><dc:subject>Data Centers</dc:subject><dc:subject>Servers</dc:subject><dc:subject>Cooling</dc:subject><dc:subject>Energy Policy</dc:subject><dc:subject>Information and Communication Technology (ICT)</dc:subject><dc:subject>09 Engineering (for)</dc:subject><dc:subject>12 Built Environment and Design (for)</dc:subject><dc:subject>Building &amp; Construction (science-metrix)</dc:subject><dc:subject>33 Built environment and design (for-2020)</dc:subject><dc:subject>40 Engineering (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3qj3j2wv</dc:identifier><dc:identifier>https://escholarship.org/content/qt3qj3j2wv/qt3qj3j2wv.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.enbuild.2025.115734</dc:identifier><dc:type>article</dc:type><dc:source>Energy and Buildings, vol 339</dc:source><dc:coverage>115734</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7cd794mv</identifier><datestamp>2026-07-31T15:06:16Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7cd794mv</dc:identifier><dc:title>Prenatal Exposure to Per- and Polyfluoroalkyl Substances and Childhood Autism-related Outcomes</dc:title><dc:creator>Ames, Jennifer L</dc:creator><dc:creator>Burjak, Mohamad</dc:creator><dc:creator>Avalos, Lyndsay A</dc:creator><dc:creator>Braun, Joseph M</dc:creator><dc:creator>Bulka, Catherine M</dc:creator><dc:creator>Croen, Lisa A</dc:creator><dc:creator>Dunlop, Anne L</dc:creator><dc:creator>Ferrara, Assiamira</dc:creator><dc:creator>Fry, Rebecca C</dc:creator><dc:creator>Hedderson, Monique M</dc:creator><dc:creator>Karagas, Margaret R</dc:creator><dc:creator>Liang, Donghai</dc:creator><dc:creator>Lin, Pi-I D</dc:creator><dc:creator>Lyall, Kristen</dc:creator><dc:creator>Moore, Brianna</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:creator>O’Connor, Thomas G</dc:creator><dc:creator>Oh, Jiwon</dc:creator><dc:creator>Padula, Amy M</dc:creator><dc:creator>Woodruff, Tracey J</dc:creator><dc:creator>Zhu, Yeyi</dc:creator><dc:creator>Hamra, Ghassan B</dc:creator><dc:creator>Outcomes, on behalf of program collaborators for Environmental influences on Child Health</dc:creator><dc:date>2023-05-01</dc:date><dc:description>BACKGROUND: Epidemiologic evidence linking prenatal exposure to per- and polyfluoroalkyl substances (PFAS) with altered neurodevelopment is inconclusive, and few large studies have focused on autism-related outcomes. We investigated whether blood concentrations of PFAS in pregnancy are associated with child autism-related outcomes.
METHODS: We included 10 cohorts from the National Institutes of Health (NIH)-funded Environmental influences on Child Health Outcomes (ECHO) program (n = 1,429). We measured 14 PFAS analytes in maternal blood collected during pregnancy; eight analytes met detection criteria for analysis. We assessed quantitative autism-related traits in children via parent report on the Social Responsiveness Scale (SRS). In multivariable linear models, we examined relationships of each PFAS (natural log-transformed) with SRS scores. We further modeled PFAS as a complex mixture using Bayesian methods and examined modification of these relationships by child sex.
RESULTS: Most PFAS in maternal blood were not associated with child SRS T-scores. Perfluorononanoic acid (PFNA) showed the strongest and most consistent association: each 1-unit increase in ln-transformed PFNA was associated with greater autism-related traits (adjusted β [95% confidence interval (CI)] = 1.5 [-0.1, 3.0]). The summed mixture, which included six PFAS detected in &amp;gt;70% of participants, was not associated with SRS T-scores (adjusted β [95% highest posterior density interval] = 0.7 [-1.4, 3.0]). We did not observe consistent evidence of sex differences.
CONCLUSIONS: Prenatal blood concentrations of PFNA may be associated with modest increases in child autism-related traits. Future work should continue to examine the relationship between exposures to both legacy and emerging PFAS and additional dimensional, quantitative measures of childhood autism-related outcomes.</dc:description><dc:subject>4206 Public Health (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Social Determinants of Health (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Endocrine Disruptors (rcdc)</dc:subject><dc:subject>Autism (rcdc)</dc:subject><dc:subject>Intellectual and Developmental Disabilities (IDD) (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>2.1 Biological and endogenous factors (hrcs-rac)</dc:subject><dc:subject>Reproductive health and childbirth (hrcs-hc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Prenatal Exposure Delayed Effects (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Autistic Disorder (mesh)</dc:subject><dc:subject>Bayes Theorem (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Alkanesulfonic Acids (mesh)</dc:subject><dc:subject>Autism</dc:subject><dc:subject>Fluorocarbon</dc:subject><dc:subject>Mixtures</dc:subject><dc:subject>Per- and polyfluoroalkyl substances</dc:subject><dc:subject>Pregnancy</dc:subject><dc:subject>Prenatal exposure</dc:subject><dc:subject>program collaborators for Environmental influences on Child Health Outcomes</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Prenatal Exposure Delayed Effects (mesh)</dc:subject><dc:subject>Alkanesulfonic Acids (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Bayes Theorem (mesh)</dc:subject><dc:subject>Autistic Disorder (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Prenatal Exposure Delayed Effects (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Autistic Disorder (mesh)</dc:subject><dc:subject>Bayes Theorem (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Alkanesulfonic Acids (mesh)</dc:subject><dc:subject>0104 Statistics (for)</dc:subject><dc:subject>1117 Public Health and Health Services (for)</dc:subject><dc:subject>Epidemiology (science-metrix)</dc:subject><dc:subject>4202 Epidemiology (for-2020)</dc:subject><dc:subject>4206 Public health (for-2020)</dc:subject><dc:subject>4905 Statistics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7cd794mv</dc:identifier><dc:identifier>https://escholarship.org/content/qt7cd794mv/qt7cd794mv.pdf</dc:identifier><dc:identifier>info:doi/10.1097/ede.0000000000001587</dc:identifier><dc:type>article</dc:type><dc:source>Epidemiology, vol 34, iss 3</dc:source><dc:coverage>450 - 459</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9tm176dz</identifier><datestamp>2026-07-31T14:54:29Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9tm176dz</dc:identifier><dc:title>Chamber Bioaerosol Study: Outdoor Air and Human Occupants as Sources of Indoor Airborne Microbes</dc:title><dc:creator>Adams, Rachel I</dc:creator><dc:creator>Bhangar, Seema</dc:creator><dc:creator>Pasut, Wilmer</dc:creator><dc:creator>Arens, Edward A</dc:creator><dc:creator>Taylor, John W</dc:creator><dc:creator>Lindow, Steven E</dc:creator><dc:creator>Nazaroff, William W</dc:creator><dc:creator>Bruns, Thomas D</dc:creator><dc:contributor>Zhang, Yinping</dc:contributor><dc:date>2015-01-01</dc:date><dc:description>Human occupants are an important source of microbes in indoor environments. In this study, we used DNA sequencing of filter samples to assess the fungal and bacterial composition of air in an environmental chamber under different levels of occupancy, activity, and exposed or covered carpeting. In this office-like, mechanically ventilated environment, results showed a strong influence of outdoor-derived particles, with the indoor microbial composition tracking that of outdoor air for the 2-hour sampling periods. The number of occupants and their activity played a significant but smaller role influencing the composition of indoor bioaerosols. Human-associated taxa were observed but were not particularly abundant, except in the case of one fungus that appeared to be transported into the chamber on the clothing of a study participant. Overall, this study revealed a smaller signature of human body-associated taxa than had been expected based on recent studies of indoor microbiomes, suggesting that occupants may not exert a strong influence on bioaerosol microbial composition in a space that, like many offices, is well ventilated with air that is moderately filtered and moderately occupied.</dc:description><dc:subject>3107 Microbiology (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>Health Effects of Indoor Air Pollution (rcdc)</dc:subject><dc:subject>Infectious Diseases (rcdc)</dc:subject><dc:subject>Aerosols (mesh)</dc:subject><dc:subject>Air (mesh)</dc:subject><dc:subject>Air Microbiology (mesh)</dc:subject><dc:subject>Air Pollution</dc:subject><dc:subject>Indoor (mesh)</dc:subject><dc:subject>Bacteria (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Fungi (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Microbial Consortia (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Bacteria (mesh)</dc:subject><dc:subject>Fungi (mesh)</dc:subject><dc:subject>Aerosols (mesh)</dc:subject><dc:subject>Air Microbiology (mesh)</dc:subject><dc:subject>Air (mesh)</dc:subject><dc:subject>Air Pollution</dc:subject><dc:subject>Indoor (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Microbial Consortia (mesh)</dc:subject><dc:subject>Aerosols (mesh)</dc:subject><dc:subject>Air (mesh)</dc:subject><dc:subject>Air Microbiology (mesh)</dc:subject><dc:subject>Air Pollution</dc:subject><dc:subject>Indoor (mesh)</dc:subject><dc:subject>Bacteria (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Fungi (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Microbial Consortia (mesh)</dc:subject><dc:subject>General Science &amp; Technology (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9tm176dz</dc:identifier><dc:identifier>https://escholarship.org/content/qt9tm176dz/qt9tm176dz.pdf</dc:identifier><dc:identifier>info:doi/10.1371/journal.pone.0128022</dc:identifier><dc:type>article</dc:type><dc:source>PLOS ONE, vol 10, iss 5</dc:source><dc:coverage>e0128022</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2834m2k7</identifier><datestamp>2026-07-31T14:50:45Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2834m2k7</dc:identifier><dc:title>Anion-exchange membrane water electrolysis: insights from round-robin testing</dc:title><dc:creator>Kreider, Melissa E</dc:creator><dc:creator>Mendoza, B Milenia Rojas</dc:creator><dc:creator>Brusse, Luke</dc:creator><dc:creator>Syar, Duha</dc:creator><dc:creator>Kwak, Minkyoung</dc:creator><dc:creator>Yang, Patrick</dc:creator><dc:creator>Chang, Hung-Ming Joseph</dc:creator><dc:creator>Hannagan, Ryan T</dc:creator><dc:creator>Amador, Isabela Rios</dc:creator><dc:creator>Ekennia, Anthony C</dc:creator><dc:creator>Oliveira, Nicholas J</dc:creator><dc:creator>Nielander, Adam C</dc:creator><dc:creator>Boettcher, Shannon W</dc:creator><dc:creator>Zenyuk, Iryna V</dc:creator><dc:creator>Jaramillo, Thomas F</dc:creator><dc:creator>Alia, Shaun M</dc:creator><dc:creator>Lakshmanan, Balasubramanian</dc:creator><dc:date>2026-06-12</dc:date><dc:description>As research and industrial interest in anion-exchange membrane water electrolysis (AEMWE) grows, there is an increasing need for reliable baselines and cross-lab validation of results. The wide variety of material sets and operating conditions under consideration for AEMWE has thus far limited efforts for standardization. In this study, round-robin testing was conducted in deionized water and KOH-based supporting electrolyte by 5 institutions from academia, national laboratories, and industry to provide baseline performance data and identify sources of cross-lab variability. Baseline membrane electrode assemblies were fabricated with commercial catalysts, membranes, and transport layers using standard techniques and tested using reagent-grade electrolytes, aiming for accessibility rather than state-of-the-art performance. From all tests, the average voltage at 1 A/cm2 was 2.72 ± 0.17 V and 1.87 ± 0.03 V in deionized water and 0.1 M KOH, respectively. The maximum in-house and cross-lab variations at this current density were 118 mV and 476 mV in water and 60 and 88 mV in 0.1 M KOH. The KOH purity, station contamination, and temperature control were identified as possible factors affecting performance between labs, with in-house specific variation attributed to sample-to-sample differences in fabrication, cell assembly, and station contamination. This work provides a commercial baseline for the field and highlights the need for improved standardization and reproducibility in AEMWE research.</dc:description><dc:subject>4012 Fluid Mechanics and Thermal Engineering (for-2020)</dc:subject><dc:subject>40 Engineering (for-2020)</dc:subject><dc:subject>4012 Fluid mechanics and thermal engineering (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2834m2k7</dc:identifier><dc:identifier>https://escholarship.org/content/qt2834m2k7/qt2834m2k7.pdf</dc:identifier><dc:identifier>info:doi/10.3389/fenrg.2026.1794912</dc:identifier><dc:type>article</dc:type><dc:source>Frontiers in Energy Research, vol 14</dc:source><dc:coverage>1794912</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6rw690bp</identifier><datestamp>2026-07-31T14:43:10Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6rw690bp</dc:identifier><dc:title>Strain-Modulated Slater-Mott Crossover of Pseudospin-Half Square-Lattice in (SrIrO3)1/(SrTiO3)1 Superlattices</dc:title><dc:creator>Yang, Junyi</dc:creator><dc:creator>Hao, Lin</dc:creator><dc:creator>Meyers, Derek</dc:creator><dc:creator>Dasa, Tamene</dc:creator><dc:creator>Xu, Liubin</dc:creator><dc:creator>Horak, Lukas</dc:creator><dc:creator>Shafer, Padraic</dc:creator><dc:creator>Arenholz, Elke</dc:creator><dc:creator>Fabbris, Gilberto</dc:creator><dc:creator>Choi, Yongseong</dc:creator><dc:creator>Haskel, Daniel</dc:creator><dc:creator>Karapetrova, Jenia</dc:creator><dc:creator>Kim, Jong-Woo</dc:creator><dc:creator>Ryan, Philip J</dc:creator><dc:creator>Xu, Haixuan</dc:creator><dc:creator>Batista, Cristian D</dc:creator><dc:creator>Dean, Mark PM</dc:creator><dc:creator>Liu, Jian</dc:creator><dc:date>2020-05-01</dc:date><dc:description>We report on the epitaxial strain-driven electronic and antiferromagnetic modulations of a pseudospin-half square-lattice realized in superlattices of (SrIrO_{3})_{1}/(SrTiO_{3})_{1}. With increasing compressive strain, we find the low-temperature insulating behavior to be strongly suppressed with a corresponding systematic reduction of both the Néel temperature and the staggered moment. However, despite such a suppression, the system remains weakly insulating above the Néel transition. The emergence of metallicity is observed under large compressive strain but only at temperatures far above the Néel transition. These behaviors are characteristics of the Slater-Mott crossover regime, providing a unique experimental model system of the spin-half Hubbard Hamiltonian with a tunable intermediate coupling strength.</dc:description><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>5104 Condensed Matter Physics (for-2020)</dc:subject><dc:subject>01 Mathematical Sciences (for)</dc:subject><dc:subject>02 Physical Sciences (for)</dc:subject><dc:subject>09 Engineering (for)</dc:subject><dc:subject>General Physics (science-metrix)</dc:subject><dc:subject>40 Engineering (for-2020)</dc:subject><dc:subject>49 Mathematical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6rw690bp</dc:identifier><dc:identifier>https://escholarship.org/content/qt6rw690bp/qt6rw690bp.pdf</dc:identifier><dc:identifier>info:doi/10.1103/physrevlett.124.177601</dc:identifier><dc:type>article</dc:type><dc:source>Physical Review Letters, vol 124, iss 17</dc:source><dc:coverage>177601</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3909p82f</identifier><datestamp>2026-07-31T14:42:36Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3909p82f</dc:identifier><dc:title>Reporting individual results for biomonitoring and environmental exposures: lessons learned from environmental communication case studies</dc:title><dc:creator>Brody, Julia Green</dc:creator><dc:creator>Dunagan, Sarah C</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:creator>Brown, Phil</dc:creator><dc:creator>Patton, Sharyle</dc:creator><dc:creator>Rudel, Ruthann A</dc:creator><dc:date>2014-12-01</dc:date><dc:description>Measurement methods for chemicals in biological and personal environmental samples have expanded rapidly and become a cornerstone of health studies and public health surveillance. These measurements raise questions about whether and how to report individual results to study participants, particularly when health effects and exposure reduction strategies are uncertain. In an era of greater public participation and open disclosure in science, researchers and institutional review boards (IRBs) need new guidance on changing norms and best practices. Drawing on the experiences of researchers, IRBs, and study participants, we discuss ethical frameworks, effective methods, and outcomes in studies that have reported personal results for a wide range of environmental chemicals. Belmont Report principles and community-based participatory research ethics imply responsibilities to report individual results, and several recent biomonitoring guidance documents call for individual reports. Meaningful report-back includes contextual information about health implications and exposure reduction strategies. Both narrative and graphs are helpful. Graphs comparing an individual’s results with other participants in the study and benchmarks, such as the National Exposure Report, are helpful, but must be used carefully to avoid incorrect inferences that higher results are necessarily harmful or lower results are safe. Methods can be tailored for specific settings by involving participants and community members in planning. Participants and researchers who have participated in report-back identified benefits: increasing trust in science, retention in cohort studies, environmental health literacy, individual and community empowerment, and motivation to reduce exposures. Researchers as well as participants gained unexpected insights into the characteristics and sources of environmental contamination. Participants are almost universally eager to receive their results and do not regret getting them. Ethical considerations and empirical experience both support study participants’ right to know their own results if they choose, so report-back should become the norm in studies that measure personal exposures. Recent studies provide models that are compiled in a handbook to help research partnerships that are planning report-back. Thoughtful report-back can strengthen research experiences for investigators and participants and expand the translation of environmental health research in communities.</dc:description><dc:subject>4203 Health Services and Systems (for-2020)</dc:subject><dc:subject>4206 Public Health (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>Clinical Trials and Supportive Activities (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Social Determinants of Health (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>2.2 Factors relating to the physical environment (hrcs-rac)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Communication (mesh)</dc:subject><dc:subject>Community Participation (mesh)</dc:subject><dc:subject>Community-Based Participatory Research (mesh)</dc:subject><dc:subject>Environmental Exposure (mesh)</dc:subject><dc:subject>Environmental Health (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Bioethics</dc:subject><dc:subject>Biomonitoring</dc:subject><dc:subject>Community-based participatory research</dc:subject><dc:subject>Exposure assessment</dc:subject><dc:subject>Health literacy</dc:subject><dc:subject>Informed consent</dc:subject><dc:subject>Research ethics</dc:subject><dc:subject>Risk communication</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Communication (mesh)</dc:subject><dc:subject>Environmental Health (mesh)</dc:subject><dc:subject>Environmental Exposure (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Community-Based Participatory Research (mesh)</dc:subject><dc:subject>Community Participation (mesh)</dc:subject><dc:subject>Communication (mesh)</dc:subject><dc:subject>Community Participation (mesh)</dc:subject><dc:subject>Community-Based Participatory Research (mesh)</dc:subject><dc:subject>Environmental Exposure (mesh)</dc:subject><dc:subject>Environmental Health (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>1117 Public Health and Health Services (for)</dc:subject><dc:subject>Toxicology (science-metrix)</dc:subject><dc:subject>4202 Epidemiology (for-2020)</dc:subject><dc:subject>4206 Public health (for-2020)</dc:subject><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3909p82f</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1186/1476-069x-13-40</dc:identifier><dc:type>article</dc:type><dc:source>Environmental Health, vol 13, iss 1</dc:source><dc:coverage>40</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1j50c5rh</identifier><datestamp>2026-07-31T14:31:05Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1j50c5rh</dc:identifier><dc:title>Preventing Adverse Childhood Experiences: A Framework for Culturally Responsive Home Visitation.</dc:title><dc:creator>Ballard, Julianne</dc:creator><dc:creator>Asiodu, Ifeyinwa V</dc:creator><dc:creator>Dawson-Rose, Carol</dc:creator><dc:creator>Leutwyler, Heather</dc:creator><dc:creator>Waters, Catherine M</dc:creator><dc:date>2026-03-17</dc:date><dc:description>INTRODUCTION: Adverse childhood experiences (ACEs) are associated with negative health and developmental outcomes, which can persist across generations. Home visitation is a key strategy to support families impacted by ACEs. Yet, evidence-based home visitation models may not fully capture the complexities, including culture, involved in preventing intergenerational ACEs.
METHODS: Using a critical narrative review approach, data were extracted from the Maternal, Infant, and Early Childhood Home Visiting program and PubMed databases related to theoretical foundations and features of 13 evidence-based home visitation models.
RESULTS: Ten theories underpinned the models, predominantly focused on behavioral correction. Nurse-led models and ACEs measurement were rare. Cultural responsiveness varied widely.
DISCUSSION: The findings highlight a gap between home visitation frameworks and the factors that influence exposure to and prevention of ACEs. The proposed Culturally Responsive Home Visitation framework integrates equity, resilience, and service integration to guide research, practice, and policy aimed at preventing intergenerational ACEs.</dc:description><dc:subject>maternal/child</dc:subject><dc:subject>ACEs</dc:subject><dc:subject>community health</dc:subject><dc:subject>life course</dc:subject><dc:subject>social determinants of health</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>House Calls (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Culturally Competent Care (mesh)</dc:subject><dc:subject>Adverse Childhood Experiences (mesh)</dc:subject><dc:subject>ACEs</dc:subject><dc:subject>community health</dc:subject><dc:subject>life course</dc:subject><dc:subject>maternal/child</dc:subject><dc:subject>social determinants of health</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>House Calls (mesh)</dc:subject><dc:subject>Adverse Childhood Experiences (mesh)</dc:subject><dc:subject>Culturally Competent Care (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>1110 Nursing (for)</dc:subject><dc:subject>1117 Public Health and Health Services (for)</dc:subject><dc:subject>2002 Cultural Studies (for)</dc:subject><dc:subject>Nursing (science-metrix)</dc:subject><dc:subject>4204 Midwifery (for-2020)</dc:subject><dc:subject>4205 Nursing (for-2020)</dc:subject><dc:subject>4206 Public health (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1j50c5rh</dc:identifier><dc:identifier>https://escholarship.org/content/qt1j50c5rh/qt1j50c5rh.pdf</dc:identifier><dc:identifier>info:doi/10.1177/10436596261430091</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Transcultural Nursing, vol 37, iss 4</dc:source><dc:coverage>10436596261430091</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5460301g</identifier><datestamp>2026-07-31T14:24:30Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5460301g</dc:identifier><dc:title>A Procedural Faculty Development Course for Emergency Physicians Practicing in Community and Academic Settings</dc:title><dc:creator>Walsh, Ryan</dc:creator><dc:creator>Lei, Charles</dc:creator><dc:creator>Williams, Saralyn R.</dc:creator><dc:creator>Smith, Kurt</dc:creator><dc:creator>Lesnick, Jason</dc:creator><dc:creator>Boaglio, Sean</dc:creator><dc:creator>Smith, Amanda</dc:creator><dc:creator>Olushoga, Michael</dc:creator><dc:creator>Andereck, Jonathan</dc:creator><dc:creator>Boyd, Jeremy S.</dc:creator><dc:date>2026-07-31</dc:date><dc:description>Introduction: Maintaining competence in high-acuity, low-occurrence (HALO) procedures poses a challenge for emergency physicians as they progress past residency training or practice in lower-acuity settings. Simulation-based deliberate practice offers a feasible method to sustain procedural competence. We developed and evaluated a blended, faculty development procedural curriculum designed to improve confidence and clinical application of HALO skills across a five-hospital emergency medicine (EM) network.
Methods:&amp;nbsp;A faculty needs assessment and departmental quality data informed the creation of a 4-hour procedural curriculum course. The blended curriculum included asynchronous precourse procedural guides and videos followed by a 4-hour, in-person deliberate practice session led by peer EM faculty instructors. Year one procedures included cricothyroidotomy, transvenous pacing, catheter thoracostomy, neonatal resuscitation, and peritonsillar abscess drainage. Year two curriculum included fiberoptic nasotracheal intubation, pediatric airway management, ultrasound-guided pericardiocentesis, intraosseous access, lateral canthotomy, balloon tamponade of gastrointestinal hemorrhage, fascia iliaca nerve block, and orthopedic reduction/splinting. All stations used clinical equipment stocked across the enterprise. Anonymous pre- and post-course surveys measured self-reported procedural confidence and global course satisfaction. Procedure billing data and faculty self-report were used to evaluate clinical application.
Results:&amp;nbsp;In year one, 62 of 90 (69%) participants completed surveys which demonstrated significant increases in confidence across all procedures (P &amp;lt; .01) with high satisfaction (median 5, IQR 5-5). Year two results were similar: 67 of 87 (77%) completed surveys, again showing significant confidence gains (P &amp;lt; .01) and high satisfaction (median 5, IQR 5–5). Seventy percent (47 of 67) of year two respondents were returning participants; among them, 68% reported performing at least one procedure reviewed in year one. All reported increased confidence during clinical performance. Peritonsillar abscess drainage increased from 14 procedures precourse to 133 in year one and 83 in year two, with 35% performed in regional hospitals. We observed no change in procedure-related quality incidents.
Conclusion: Our faculty procedural curriculum offers a framework that emergency departments can use to support faculty in increasing confidence in performing HALO and other low-frequency procedures. Future research should evaluate the durability of this educational approach, including how long the intervention preserves procedural confidence without decay.&amp;nbsp;</dc:description><dc:subject>Simulation</dc:subject><dc:subject>Procedural education</dc:subject><dc:subject>faculty development</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5460301g</dc:identifier><dc:identifier>https://escholarship.org/content/qt5460301g/qt5460301g.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.61860</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 0, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0wh0m50r</identifier><datestamp>2026-07-31T14:23:55Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0wh0m50r</dc:identifier><dc:title>Large Blooms of Bacillales (Firmicutes) Underlie the Response to Wetting of Cyanobacterial Biocrusts at Various Stages of Maturity</dc:title><dc:creator>Karaoz, Ulas</dc:creator><dc:creator>Couradeau, Estelle</dc:creator><dc:creator>da Rocha, Ulisses Nunes</dc:creator><dc:creator>Lim, Hsiao-Chien</dc:creator><dc:creator>Northen, Trent</dc:creator><dc:creator>Garcia-Pichel, Ferran</dc:creator><dc:creator>Brodie, Eoin L</dc:creator><dc:contributor>Bailey, Mark J</dc:contributor><dc:date>2018-05-02</dc:date><dc:description>Biological soil crusts (biocrusts) account for a substantial portion of primary production in dryland ecosystems. They successionally mature to deliver a suite of ecosystem services, such as carbon sequestration, water retention and nutrient cycling, and climate regulation. Biocrust assemblages are extremely well adapted to survive desiccation and to rapidly take advantage of the periodic precipitation events typical of arid ecosystems. Here we focus on the wetting response of incipient cyanobacterial crusts as they mature from "light" to "dark." We sampled a cyanobacterial biocrust chronosequence before (dry) and temporally following a controlled wetting event and used high-throughput 16S rRNA and rRNA gene sequencing to monitor the dynamics of microbial response. Overall, shorter-term changes in phylogenetic beta diversity attributable to periodic wetting were as large as those attributable to biocrust successional stage. Notably, more mature crusts showed significantly higher resistance to precipitation disturbance. A large bloom of a few taxa within the Firmicutes, primarily in the order Bacillales, emerged 18&amp;nbsp;h after wetting, while filamentous crust-forming cyanobacteria showed variable responses to wet-up across the successional gradient, with populations collapsing in less-developed light crusts but increasing in later-successional-stage dark crusts. Overall, the consistent Bacillales bloom accompanied by the variable collapse of pioneer cyanobacteria of the Oscillatoriales order across the successional gradient suggests that the strong response of few organisms to a hydration pulse with the mortality of the autotroph might have important implications for carbon (C) balance in semiarid ecosystems.IMPORTANCE Desert biological soil crusts are terrestrial topsoil microbial communities common to arid regions that comprise 40% of Earth's terrestrial surface. They successionally develop over years to decades to deliver a suite of ecosystem services of local and global significance. Ecosystem succession toward maturity has been associated with both resistance and resilience to disturbance. Recent work has shown that the impacts of both climate change and physical disturbance on biocrusts increase the potential for successional resetting. A larger proportion of biocrusts are expected to be at an early developmental stage, hence increasing susceptibility to changes in precipitation frequencies. Therefore, it is essential to characterize how biocrusts respond to wetting across early developmental stages. In this study, we document the wetting response of microbial communities from a biocrust chronosequence. Overall, our results suggest that the cumulative effects of altered precipitation frequencies on the stability of biocrusts will depend on biocrust maturity.</dc:description><dc:subject>3107 Microbiology (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>3103 Ecology (for-2020)</dc:subject><dc:subject>15 Life on Land (sdg)</dc:subject><dc:subject>Bacillales (mesh)</dc:subject><dc:subject>Ecosystem (mesh)</dc:subject><dc:subject>Bacillota (mesh)</dc:subject><dc:subject>RNA</dc:subject><dc:subject>Ribosomal</dc:subject><dc:subject>16S (mesh)</dc:subject><dc:subject>Soil Microbiology (mesh)</dc:subject><dc:subject>Firmicutes</dc:subject><dc:subject>biological soil crust</dc:subject><dc:subject>carbon loss</dc:subject><dc:subject>ecological succession</dc:subject><dc:subject>ecosystem services</dc:subject><dc:subject>pulsed-activity event</dc:subject><dc:subject>resistance</dc:subject><dc:subject>stability</dc:subject><dc:subject>RNA</dc:subject><dc:subject>Ribosomal</dc:subject><dc:subject>16S (mesh)</dc:subject><dc:subject>Soil Microbiology (mesh)</dc:subject><dc:subject>Ecosystem (mesh)</dc:subject><dc:subject>Bacillales (mesh)</dc:subject><dc:subject>Bacillota (mesh)</dc:subject><dc:subject>Firmicutes</dc:subject><dc:subject>biological soil crust</dc:subject><dc:subject>carbon loss</dc:subject><dc:subject>ecological succession</dc:subject><dc:subject>ecosystem services</dc:subject><dc:subject>pulsed-activity event</dc:subject><dc:subject>resistance</dc:subject><dc:subject>stability</dc:subject><dc:subject>Bacillales (mesh)</dc:subject><dc:subject>Ecosystem (mesh)</dc:subject><dc:subject>Bacillota (mesh)</dc:subject><dc:subject>RNA</dc:subject><dc:subject>Ribosomal</dc:subject><dc:subject>16S (mesh)</dc:subject><dc:subject>Soil Microbiology (mesh)</dc:subject><dc:subject>0605 Microbiology (for)</dc:subject><dc:subject>3101 Biochemistry and cell biology (for-2020)</dc:subject><dc:subject>3107 Microbiology (for-2020)</dc:subject><dc:subject>3207 Medical microbiology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0wh0m50r</dc:identifier><dc:identifier>https://escholarship.org/content/qt0wh0m50r/qt0wh0m50r.pdf</dc:identifier><dc:identifier>info:doi/10.1128/mbio.01366-16</dc:identifier><dc:type>article</dc:type><dc:source>mBio, vol 9, iss 2</dc:source><dc:coverage>10.1128/mbio.01366 - 10.1128/mbio.01316</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt58t9f6md</identifier><datestamp>2026-07-31T14:12:13Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt58t9f6md</dc:identifier><dc:title>Trauma-Informed Lawyering Leads to Movement Lawyering in International Human Rights Work</dc:title><dc:creator>Sweetser, Catherine</dc:creator><dc:date>2026-05-01</dc:date><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/58t9f6md</dc:identifier><dc:identifier>https://escholarship.org/content/qt58t9f6md/qt58t9f6md.pdf</dc:identifier><dc:type>article</dc:type><dc:source>UC Irvine Journal of International, Transnational, and Comparative Law , vol 10, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4c2186bf</identifier><datestamp>2026-07-31T14:03:12Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4c2186bf</dc:identifier><dc:title>Observation of a cross-section enhancement near the tt¯ production threshold in s=13 TeV pp collisions with the ATLAS detector</dc:title><dc:creator>Collaboration, The ATLAS</dc:creator><dc:date>2026-05-01</dc:date><dc:description>A measurement oftt¯production is presented in the invariant-mass region near the pair production threshold,mtt¯∼345 GeV, in final states with two charged leptons and multiple jets. The measurement is based on140fb-1of proton-proton collision data collected ats=13 TeV with the ATLAS detector at the Large Hadron Collider. The data are compared to two models oftt¯production: a baseline model including only perturbative quantum chromodynamics (pQCD) predictions for the hard process at approximate next-to-next-to leading order accuracy in the strong coupling, and an extended model that, in addition, incorporates non-relativistic QCD simulations that also include the formation of colour-singlet quasi-bound-states near thett¯threshold. The agreement between the data and the models is quantified via a profile-likelihood fit to the reconstructedmtt¯distributions, in bins of two angular observables sensitive to spin-correlations in thett¯system. An excess of events is observed over the baseline pQCD prediction, with an observed significance over 8 standard deviations. This excess is consistent with the formation of colour-singlet and spin-singletS-wave quasi-boundtt¯states, as predicted by non-relativistic QCD, and corresponds to an observed cross-section of9.3-1.3+1.4 pb.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>01 Mathematical Sciences (for)</dc:subject><dc:subject>02 Physical Sciences (for)</dc:subject><dc:subject>General Physics (science-metrix)</dc:subject><dc:subject>49 Mathematical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:rights>CC-BY-NC</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4c2186bf</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1088/1361-6633/ae60a0</dc:identifier><dc:type>article</dc:type><dc:source>Reports on Progress in Physics, vol 89, iss 5</dc:source><dc:coverage>057801</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9pp3t17r</identifier><datestamp>2026-07-31T13:47:06Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9pp3t17r</dc:identifier><dc:title>Combined BRAF and MEK Inhibition With Dabrafenib and Trametinib in BRAF V600–Mutant Colorectal Cancer</dc:title><dc:creator>Corcoran, Ryan B</dc:creator><dc:creator>Atreya, Chloe E</dc:creator><dc:creator>Falchook, Gerald S</dc:creator><dc:creator>Kwak, Eunice L</dc:creator><dc:creator>Ryan, David P</dc:creator><dc:creator>Bendell, Johanna C</dc:creator><dc:creator>Hamid, Omid</dc:creator><dc:creator>Messersmith, Wells A</dc:creator><dc:creator>Daud, Adil</dc:creator><dc:creator>Kurzrock, Razelle</dc:creator><dc:creator>Pierobon, Mariaelena</dc:creator><dc:creator>Sun, Peng</dc:creator><dc:creator>Cunningham, Elizabeth</dc:creator><dc:creator>Little, Shonda</dc:creator><dc:creator>Orford, Keith</dc:creator><dc:creator>Motwani, Monica</dc:creator><dc:creator>Bai, Yuchen</dc:creator><dc:creator>Patel, Kiran</dc:creator><dc:creator>Venook, Alan P</dc:creator><dc:creator>Kopetz, Scott</dc:creator><dc:date>2015-12-01</dc:date><dc:description>PURPOSE: To evaluate dabrafenib, a selective BRAF inhibitor, combined with trametinib, a selective MEK inhibitor, in patients with BRAF V600-mutant metastatic colorectal cancer (mCRC).
PATIENTS AND METHODS: A total of 43 patients with BRAF V600-mutant mCRC were treated with dabrafenib (150 mg twice daily) plus trametinib (2 mg daily), 17 of whom were enrolled onto a pharmacodynamic cohort undergoing mandatory biopsies before and during treatment. Archival tissues were analyzed for microsatellite instability, PTEN status, and 487-gene sequencing. Patient-derived xenografts were established from core biopsy samples.
RESULTS: Of 43 patients, five (12%) achieved a partial response or better, including one (2%) complete response, with duration of response &amp;gt; 36 months; 24 patients (56%) achieved stable disease as best confirmed response. Ten patients (23%) remained in the study &amp;gt; 6 months. All nine evaluable during-treatment biopsies had reduced levels of phosphorylated ERK relative to pretreatment biopsies (average decrease ± standard deviation, 47% ± 24%). Mutational analysis revealed that the patient achieving a complete response and two of three evaluable patients achieving a partial response had PIK3CA mutations. Neither PTEN loss nor microsatellite instability correlated with efficacy. Responses to dabrafenib plus trametinib were comparable in patient-derived xenograft-bearing mice and the biopsied lesions from each corresponding patient.
CONCLUSION: The combination of dabrafenib plus trametinib has activity in a subset of patients with BRAF V600-mutant mCRC. Mitogen-activated protein kinase signaling was inhibited in all patients evaluated, but to a lesser degree than observed in BRAF-mutant melanoma with dabrafenib alone. PIK3CA mutations were identified in responding patients and thus do not preclude response to this regimen. Additional studies targeting the mitogen-activated protein kinase pathway in this disease are warranted.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3211 Oncology and Carcinogenesis (for-2020)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Digestive Diseases (rcdc)</dc:subject><dc:subject>Colo-Rectal Cancer (rcdc)</dc:subject><dc:subject>Genetics (rcdc)</dc:subject><dc:subject>Precision Medicine (rcdc)</dc:subject><dc:subject>Biotechnology (rcdc)</dc:subject><dc:subject>Cancer (rcdc)</dc:subject><dc:subject>6.1 Pharmaceuticals (hrcs-rac)</dc:subject><dc:subject>Cancer (hrcs-hc)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Antineoplastic Combined Chemotherapy Protocols (mesh)</dc:subject><dc:subject>Biopsy (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Colorectal Neoplasms (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Follow-Up Studies (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Imidazoles (mesh)</dc:subject><dc:subject>MAP Kinase Kinase 1 (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Mice (mesh)</dc:subject><dc:subject>Microsatellite Instability (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Mutation (mesh)</dc:subject><dc:subject>Neoplasm Staging (mesh)</dc:subject><dc:subject>Oximes (mesh)</dc:subject><dc:subject>PTEN Phosphohydrolase (mesh)</dc:subject><dc:subject>Prognosis (mesh)</dc:subject><dc:subject>Proto-Oncogene Proteins B-raf (mesh)</dc:subject><dc:subject>Pyridones (mesh)</dc:subject><dc:subject>Pyrimidinones (mesh)</dc:subject><dc:subject>Xenograft Model Antitumor Assays (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Mice (mesh)</dc:subject><dc:subject>Colorectal Neoplasms (mesh)</dc:subject><dc:subject>Oximes (mesh)</dc:subject><dc:subject>Imidazoles (mesh)</dc:subject><dc:subject>Pyridones (mesh)</dc:subject><dc:subject>Pyrimidinones (mesh)</dc:subject><dc:subject>Proto-Oncogene Proteins B-raf (mesh)</dc:subject><dc:subject>MAP Kinase Kinase 1 (mesh)</dc:subject><dc:subject>Antineoplastic Combined Chemotherapy Protocols (mesh)</dc:subject><dc:subject>Biopsy (mesh)</dc:subject><dc:subject>Neoplasm Staging (mesh)</dc:subject><dc:subject>Prognosis (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Follow-Up Studies (mesh)</dc:subject><dc:subject>Xenograft Model Antitumor Assays (mesh)</dc:subject><dc:subject>Mutation (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>PTEN Phosphohydrolase (mesh)</dc:subject><dc:subject>Microsatellite Instability (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Antineoplastic Combined Chemotherapy Protocols (mesh)</dc:subject><dc:subject>Biopsy (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Colorectal Neoplasms (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Follow-Up Studies (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Imidazoles (mesh)</dc:subject><dc:subject>MAP Kinase Kinase 1 (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Mice (mesh)</dc:subject><dc:subject>Microsatellite Instability (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Mutation (mesh)</dc:subject><dc:subject>Neoplasm Staging (mesh)</dc:subject><dc:subject>Oximes (mesh)</dc:subject><dc:subject>PTEN Phosphohydrolase (mesh)</dc:subject><dc:subject>Prognosis (mesh)</dc:subject><dc:subject>Proto-Oncogene Proteins B-raf (mesh)</dc:subject><dc:subject>Pyridones (mesh)</dc:subject><dc:subject>Pyrimidinones (mesh)</dc:subject><dc:subject>Xenograft Model Antitumor Assays (mesh)</dc:subject><dc:subject>1103 Clinical Sciences (for)</dc:subject><dc:subject>1112 Oncology and Carcinogenesis (for)</dc:subject><dc:subject>Oncology &amp; Carcinogenesis (science-metrix)</dc:subject><dc:subject>3211 Oncology and carcinogenesis (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9pp3t17r</dc:identifier><dc:identifier>https://escholarship.org/content/qt9pp3t17r/qt9pp3t17r.pdf</dc:identifier><dc:identifier>info:doi/10.1200/jco.2015.63.2471</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Clinical Oncology, vol 33, iss 34</dc:source><dc:coverage>4023 - 4031</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3zm3r044</identifier><datestamp>2026-07-31T13:45:36Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3zm3r044</dc:identifier><dc:title>Morphological Impairment Is Not Unitary: Evidence for Suffix-Selective Vulnerability in Dyslexia</dc:title><dc:creator>Guven, Selcuk</dc:creator><dc:creator>Friedmann, Naama</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Morphological processing is central to reading and spelling, yet its impairment in developmental dyslexia remains poorly specified. Dual-route accounts predict that morphological difficulties may arise from distinct mechanisms, including degraded stem–affix representations or impaired morphological assembly/conversion. We examined these possibilities in 33 Turkish-speaking individuals with developmental dyslexia, using error-based analyses of morphologically complex word production in a morphologically rich language. Participant-level measures captured overall morphological error severity and error localization, especially whether errors were concentrated in suffixes or stems. We combined exploratory subgroup discovery using PCA and k-means clustering with confirmatory statistical analyses and phonological control measures. Results revealed heterogeneous morphological profiles. One subgroup showed a clear suffix-biased error pattern above chance, elevated morphological error rates, and no corresponding phonological impairment. This dissociation is most consistent with impaired morphological assembly/conversion rather than generalized phonological difficulty. Findings support subgroup-sensitive, error-based approaches for refining cognitive models of morphological processing in dyslexia.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Cognitive architectures</dc:subject><dc:subject>Cognitive development</dc:subject><dc:subject>Development</dc:subject><dc:subject>Language acquisition</dc:subject><dc:subject>Language Production</dc:subject><dc:subject>Morphology</dc:subject><dc:subject>Phonology</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3zm3r044</dc:identifier><dc:identifier>https://escholarship.org/content/qt3zm3r044/qt3zm3r044.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6qg020bk</identifier><datestamp>2026-07-31T13:45:35Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6qg020bk</dc:identifier><dc:title>Neural tracking of pre-lexical, lexical and supra-lexical speech features during passive listening</dc:title><dc:creator>Lemes Coitinho, Lucia Paola</dc:creator><dc:creator>Fló, Emilia</dc:creator><dc:creator>Cruse, Damian</dc:creator><dc:creator>Cabana, Álvaro</dc:creator><dc:date>2026-01-01</dc:date><dc:description>When humans listen to natural speech, their brain responses become time-locked to certain features of the auditory stimulus. The study of this phenomenon is typically limited to acoustic and linguistic representations of speech. This work examines the contributions of pre-lexical, lexical, and supra-lexical representations of speech as regressors in univariate and multivariate TRF models to predict EEG responses during passive listening of narrative stimuli. Pre-lexical features include acoustic properties and word segmentation. Lexical features incorporate emotive dimensions, sentiment analysis, and sensorimotor dimensions of words derived from both human ratings and transformer-based models. Finally, supra-lexical features include syntactic and semantic characteristics of words. The main finding of our work is that excluding acoustic representations, word surprisal remains the best tracked feature. Overall, our results suggest that LLMs capture multimodal aspects of word meaning and support a view of speech comprehension as an intrinsically predictive process.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>Electroencephalography (EEG)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6qg020bk</dc:identifier><dc:identifier>https://escholarship.org/content/qt6qg020bk/qt6qg020bk.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3zc063mh</identifier><datestamp>2026-07-31T13:45:34Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3zc063mh</dc:identifier><dc:title>Formal Conceptual Blending as a Fundamental Tool for Artificial Mathematical Intelligence and for the Fine-Tuning of Large Language Models</dc:title><dc:creator>Gomez-Ramirez, Danny A. J.</dc:creator><dc:creator>Turner, Mark</dc:creator><dc:date>2026-01-01</dc:date><dc:description>One of the foundational pillars of Artificial Mathematical Intelligence (AMI) is the taxonomy it has developed of Seminal Cognitive Operations (SMOs) underlying abstract mathematical cognition. Among these, conceptual blending is central. We survey formal approaches to conceptual blending and show how they generate and constrain mathematical reasoning across domains, enabling a quantum jump in building artificial co-creative mathematical agents. The AMI framework fills a longstanding gap in formal systems by integrating principled concept formation into formal reasoning. We additionally propose a regimen for fine-tuning LLMs with mathematical problems ranging from elementary to highly challenging, to bring formal conceptual blending into a constructive chain-of-thought process, resulting in sound final responses.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Creativity</dc:subject><dc:subject>Intelligent agents</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Mathematical modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3zc063mh</dc:identifier><dc:identifier>https://escholarship.org/content/qt3zc063mh/qt3zc063mh.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt92j449vk</identifier><datestamp>2026-07-31T13:45:32Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt92j449vk</dc:identifier><dc:title>Ecological Modulation of Facial Preferences and Social Information Use in Human Mate Choice</dc:title><dc:creator>Keçe, Doğa</dc:creator><dc:creator>Bowers, Robert Ian</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Human mate choice is shaped by both individual preferences and social and ecological context. Across three experiments, we test how cues of resource scarcity versus abundance shift (1) preferences for sexually dimorphic facial traits and (2) mate-choice copying (MCC), and whether any effects persist. In Experiment 1, women completed a rapid preference task before and after watching videos depicting harsh (resource-poor) or abundant (resource-rich) environments. Exposure to abundance increased preferences for masculine male faces relative to harsh cues. Experiment 2 asked whether the same environmental cues change MCC, whether this differs for sexually dimorphic versus more neutral faces, and how long any changes last across immediate and delayed tests. MCC was reliable overall, but its longer-lasting effects were observed only in the abundant condition, consistent with reduced reliance on social information under harshness. Experiment 3 repeats Experiment 1 in men using female stimuli to test generality across sexes.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Evolution</dc:subject><dc:subject>Face Processing</dc:subject><dc:subject>Social cognition</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/92j449vk</dc:identifier><dc:identifier>https://escholarship.org/content/qt92j449vk/qt92j449vk.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3cp7q9vx</identifier><datestamp>2026-07-31T13:45:32Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3cp7q9vx</dc:identifier><dc:title>Automatic morphosyntactic processing in Portuguese as evidenced by electrophysiological responses</dc:title><dc:creator>Cabral, Leonardo</dc:creator><dc:creator>Soto, Marije</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Our event-related brain potentials experiment aimed to test whether we process morphosyntax as a reflex through combinatory mechanisms, based on abstract features. To ensure that brain responses were automatic and independent of attention, we conducted a multifeature paradigm with passive listening experiment. Participants listened to stimuli that were either grammatical ("eu adoto", I adopt), contained 1 violation ("eu *adota", I adopt.3p.sg) or contained 2 violations ("eu *adotam", I adopt.3p.pl). Results showed that, even though there may have been a contribution of the mismatch negativity response on the first interval we analyzed (150-250ms), there was a sustained, directly morphosyntactic effect on both violation conditions (150ms-450ms) and additional, cumulative negativity on the 2 violations condition. This cumulative effect excludes any interpretation of our data based on pure probabilistic processing as verbs in both violation conditions have zero probability of occurring after the pronoun. Henceforth, our data suggests that we process morphosyntax automatically.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Linguistics</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Syntax</dc:subject><dc:subject>Electroencephalography (EEG)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3cp7q9vx</dc:identifier><dc:identifier>https://escholarship.org/content/qt3cp7q9vx/qt3cp7q9vx.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7d67629b</identifier><datestamp>2026-07-31T13:45:26Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7d67629b</dc:identifier><dc:title>Individual Differences in Irony Processing in Hindi-English Bilingual Reading</dc:title><dc:creator>Shukla, Utkarsh</dc:creator><dc:creator>Singh, Dr. Niharika</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Bilingual readers show substantial variability in how non-literal language is processed, yet irony is often examined in terms of uniform processing costs. The present study investigated how individual differences shape irony–literal reading behavior in Hindi-English bilinguals using eye-tracking. Fifty-four participants read short texts containing ironic criticism or literal counterparts in either Hindi (L1) or English (L2) and completed measures of cognitive ability, language experience, and meta-representational skills. Aggregate analyses revealed no reliable reading-time differences between ironic and literal sentences. Primary analyses focused on within-participant irony-literal difference scores. Correlational and Bayesian regression analyses showed that the magnitude and timing of irony-literal divergence were systematically related to working memory, language-use patterns, proficiency, and Theory of Mind, with predictors across languages of testing. These findings indicate that irony-related reading differences are not categorical but emerge from structured individual variability, highlighting the value of individual-difference approaches for studying pragmatic processing in bilingual reading.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Language understanding</dc:subject><dc:subject>Pragmatics</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:subject>Eye tracking</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7d67629b</dc:identifier><dc:identifier>https://escholarship.org/content/qt7d67629b/qt7d67629b.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt28f4721g</identifier><datestamp>2026-07-31T13:45:25Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt28f4721g</dc:identifier><dc:title>AI counsellors exaggerate linguistic qualities of human counsellors, and human clients align more with AI counsellors</dc:title><dc:creator>Haslett, David A.</dc:creator><dc:creator>Shi, June</dc:creator><dc:creator>Chan, Antoni B.</dc:creator><dc:creator>Hsiao, Janet</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Many people treat large language models (LLMs) like counsellors, seeking advice on social and emotional issues. This could improve quality of life for people who lack access to mental healthcare, but it also comes with serious risks. We recently got the opportunity to analyze written Chinese conversations between hundreds of human–human client–counsellor pairs and thousands of human–AI client–counsellor pairs. By analyzing linguistic and semantic features of those conversations, we provide evidence that human and AI counsellors share many qualities, such as writing predictable messages and expressing positive sentiments, and that human clients align with AI counsellors more than with human counsellors, including when AI behaviour diverges from human counsellor behaviour. This study contributes sorely needed empirical descriptions of real-world counselling sessions with chatbots, which can help researchers at the intersection of AI and psychology understand whether and how LLMs should play a role in mental healthcare.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>Clinical methods</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/28f4721g</dc:identifier><dc:identifier>https://escholarship.org/content/qt28f4721g/qt28f4721g.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7v28m9df</identifier><datestamp>2026-07-31T13:45:24Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7v28m9df</dc:identifier><dc:title>Learning Abstract Categories through Linguistic Feature Explanations</dc:title><dc:creator>Xie, Haodong</dc:creator><dc:creator>Wang, Xuena</dc:creator><dc:creator>Maharjan, Rahul Singh</dc:creator><dc:creator>Tavella, Federico</dc:creator><dc:creator>Cangelosi, Angelo</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Abstract categories often lack a single, bounded perceptual referent, making them harder to learn than highly concrete categories. Explanations that identify properties shared across category members may support category learning by highlighting features that generalise beyond individual examples. This study investigates the role of explanatory concepts in category learning using a label-free Concept Bottleneck Model framework. We generate human-interpretable feature concepts for both basic-level and super-ordinate categories, then learn a projection from visual representations into this concept space. A classifier then predicts category labels from these concept activation to evaluate whether explanatory features support category learning. We evaluate the approach on CIFAR-100, CUB-200, and ImageNet, organising labels into basic-level and super-ordinate categories. Across datasets, concept-based models achieve accuracy comparable to standard classifiers while providing interpretable concepts. Visualisations reveal distinct category clusters in concept space, and evaluations on held-out subordinate classes suggest that explanatory concepts transfer effectively to previously unseen subclasses.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Computer Science</dc:subject><dc:subject>Linguistics</dc:subject><dc:subject>Language acquisition</dc:subject><dc:subject>Language understanding</dc:subject><dc:subject>Machine learning</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7v28m9df</dc:identifier><dc:identifier>https://escholarship.org/content/qt7v28m9df/qt7v28m9df.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2b24k435</identifier><datestamp>2026-07-31T13:45:21Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2b24k435</dc:identifier><dc:title>Are LLMs Biased Like Humans? Causal Reasoning as a Function of Prior Knowledge, Irrelevant Information, and Reasoning Budget</dc:title><dc:creator>Dettki, Hanna M</dc:creator><dc:creator>Wu, Charley M</dc:creator><dc:creator>Rehder, Bob</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Large language models (LLMs) are increasingly used in domains where causal reasoning matters, yet it remains unclear whether their judgments reflect normative causal computation, human-like shortcuts, or brittle pattern matching.
We benchmark 20+ LLMs against a matched human baseline on 11 causal judgment tasks formalized by a collider structure ($C_1 \!\rightarrow\! E\! \leftarrow \!C_2$).
We find that a small interpretable model compresses LLMs' causal judgments well and that most LLMs exhibit more rule-like reasoning strategies than humans who seem to account for unmentioned latent factors in their probability judgments.
Furthermore, most LLMs do not mirror the characteristic human collider biases of weak explaining away and Markov violations.
We probe LLMs' causal judgment robustness under (i) semantic abstraction and (ii) prompt overloading (injecting noise), and find that chain-of-thought (CoT) increases robustness for many LLMs. Together, this divergence in reasoning style can augment human-reasoning when known human biases are undesired.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Computer Science</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Causal reasoning</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2b24k435</dc:identifier><dc:identifier>https://escholarship.org/content/qt2b24k435/qt2b24k435.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt35c3g3rc</identifier><datestamp>2026-07-31T13:45:20Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt35c3g3rc</dc:identifier><dc:title>Meta-Learning Captures Human-Like Geometric Sensitivity</dc:title><dc:creator>Gupta, Max</dc:creator><dc:creator>Campbell, Declan I.</dc:creator><dc:creator>Griffiths, Tom</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Humans show systematic biases in geometric perception: shapes with higher regularity (symmetry, right angles, parallel sides) and simplicity (fewer elements) are easier to recognize. These biases have been difficult to replicate in neural networks, leading to the hypothesis that the human visual system uniquely employs a "geometric language of thought''---discrete symbolic machinery for representing shapes---that cannot be reproduced by neural networks. We show that neural networks trained via meta-learning can reproduce these biases without symbolic primitives or massive pretraining. Training on concepts with fixed complexity yields human-like regularity sensitivity, whereas training on concepts with varying complexity yields simplicity sensitivity. This dissociation suggests that meta-learning induces priors that exploit the most diagnostic dimension of variation in the training environment. More broadly, our results suggest that these perceptual biases can arise from the statistics of the training environment itself, rather than being innately endowed.</dc:description><dc:subject>Perception</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Neural Networks</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/35c3g3rc</dc:identifier><dc:identifier>https://escholarship.org/content/qt35c3g3rc/qt35c3g3rc.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt616448sn</identifier><datestamp>2026-07-31T13:45:08Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt616448sn</dc:identifier><dc:title>Haunting Images of Forgotten Films: Reddit Movie Threads Reveal Emotion–Memory Interactions</dc:title><dc:creator>Stocco, Andrea</dc:creator><dc:creator>Li, Xinyue</dc:creator><dc:creator>Zoellner, Lori</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Emotional events are subjectively vivid, but whether this vividness reflects superior objective memory remains debated. We distinguish three competing hypotheses: (1) Emotion does not enhance objective recall despite subjective vividness, (2) Emotion selectively enhances central sensory details while impairing peripheral contextual information, or (3) Emotion enhances all memory aspects, with benefits spreading from central to peripheral details. We tested these hypotheses using a naturalistic dataset from three Reddit discussion forums ("subreddits''), where users post remembered details of forgotten movies. Analyzing 1,509 posts from movie identification subreddits, we found that negative emotion strongly predicted which movies were remembered (supporting hypotheses 2 and 3 over hypothesis 1), with horror and thriller movies significantly overrepresented. Scene-level details were recalled more frequently and accurately than movie-level information, suggesting that emotion preferentially affects central, sensory details. However, both scene-level and movie-level details were enhanced by negative emotion without a significant interaction, supporting the third hypothesis that emotion broadly enhances memory while prioritizing central information. These findings suggest that negative emotion enhances both the selectivity and overall strength of long-term episodic memories, with implications for understanding emotional memory in naturalistic contexts.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Emotion</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>Big data</dc:subject><dc:subject>Corpus studies</dc:subject><dc:subject>Social media analysis</dc:subject><dc:subject>Statistics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/616448sn</dc:identifier><dc:identifier>https://escholarship.org/content/qt616448sn/qt616448sn.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4vz626pf</identifier><datestamp>2026-07-31T13:45:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4vz626pf</dc:identifier><dc:title>Costly Communication Shapes Networked Social Learning: Accuracy–Utility Tradeoffs in an Agent-Based Model</dc:title><dc:creator>Qin, Qianyi</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Communication in social learning is often limited by time, attention, and explicit penalties, yet many models assume free or fixed exchange. We study how two bundled communication regimes shape networked inference in an agent-based model. Groups of agents on a ring network infer a binary hidden state over 10 rounds from noisy private signals and neighbors' probabilistic messages. The regimes jointly vary per-broadcast penalty, broadcast probability, per-round broadcast cap, and social-update weight. Simulations show that the high-cost, communication-constrained regime produces fewer outgoing broadcasts, slower reduction of logged-belief dispersion, and stronger dependence of final accuracy and score on private-signal reliability. Increasing signal strength therefore yields larger gains in the high-cost regime than in the low-cost regime. These results should be interpreted as regime-level differences rather than as the isolated causal effect of message penalty alone, and they generate testable predictions for human experiments.</dc:description><dc:subject>Sociology</dc:subject><dc:subject>Cognitive Humanities</dc:subject><dc:subject>Complex systems</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4vz626pf</dc:identifier><dc:identifier>https://escholarship.org/content/qt4vz626pf/qt4vz626pf.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2463q3vx</identifier><datestamp>2026-07-31T13:45:05Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2463q3vx</dc:identifier><dc:title>Compression-Driven Abstraction Under Limited Inference: A Resource-Rational Account of Rules, Chunks, and Symmetries</dc:title><dc:creator>Zhang, Yuli</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Humans can show abrupt gains in learning and problem solving, e.g., discovering a rule or forming a chunk. We propose a process-level account in which an agent selects among representation families by minimizing a two-part minimum description length (MDL) objective augmented with an explicit inference-cost penalty. Bounded inference is modeled as budgeted search with sparse top-k routing (limited consideration), yielding a retained-mass diagnostic _k that predicts when truncation changes choices. The framework yields simple threshold conditions for when rules, macros, and symmetry codes become worthwhile, predicting step-like changes as experience accumulates under fixed resources. Minimal simulations reproduce key signatures, including compute–coverage tradeoffs and symmetry-threshold scaling with group size. Large language model (LLM) experiments further show a semantic–exact dissociation in symmetry learning and candidate-set bottlenecks consistent with limited consideration.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Problem Solving</dc:subject><dc:subject>Representation</dc:subject><dc:subject>Skill acquisition and learning</dc:subject><dc:subject>Mathematical modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2463q3vx</dc:identifier><dc:identifier>https://escholarship.org/content/qt2463q3vx/qt2463q3vx.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0949r01q</identifier><datestamp>2026-07-31T13:45:02Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0949r01q</dc:identifier><dc:title>Are Recognition Decisions in Visual Working Memory Different from Recognition Decisions in Long-Term Memory?</dc:title><dc:creator>Mizrak, Eda</dc:creator><dc:creator>Singmann, Henrik</dc:creator><dc:date>2026-01-01</dc:date><dc:description>What are the evidence distributions underlying recognition decisions in visual working memory, and how do they compare to those in long-term memory? A recent critical test shows that long-term recognition memory is best described by a Gumbel\textsubscript{min} signal-detection model. Our study applies this test to visual working memory. Participants studied shape-colour bindings and completed a recognition task with varying set size but an equal number of studied and non-studied items. Half of the participants had to select one studied item; half had to select one non-studied item. The Gumbel\textsubscript{min} model predicts that accuracy should improve with set size when selecting a studied item but remain unchanged when selecting a non-studied item. Our results are somewhat ambiguous but suggest that accuracy increased with set size in both task variants, which would provide evidence against the Gumbel\textsubscript{min} signal-detection model for visual working memory. Future research needs to replicate our results in a design without potential experimental confounds.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Mathematical modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0949r01q</dc:identifier><dc:identifier>https://escholarship.org/content/qt0949r01q/qt0949r01q.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt09j052r0</identifier><datestamp>2026-07-31T13:45:00Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt09j052r0</dc:identifier><dc:title>Strategic allocation of memory resources through the lens of dependency locality: Evidence from a controlled reading experiment</dc:title><dc:creator>Xu, Weijie</dc:creator><dc:creator>Hao, Hailin</dc:creator><dc:creator>Futrell, Richard</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Human working memory resources are strategically allocated in sentence processing. Recent studies have argued that less predictable linguistic units are prioritized for memory resources to be encoded with higher precision in sentence processing, as a principled solution to minimize the overall memory error given noisy encoding and resource limitations. The investigation of this claim has been operationalized from the perspective of memory robustness, predicting that representations of unexpected linguistic units are more robust against memory interference since they are more precisely encoded. In this study, using a controlled reading experiment in the A-Maze paradigm, we examine this prediction through the lens of the dependency locality effect in comprehension, a classic sentence-processing effect arising from memory decay and interference. Focusing on the subject--verb dependency in English, we find that the locality effect only occurs when the retrieval target (i.e., left codependent) is of high predictability, suggesting that high-predictability linguistic units are less prioritized for memory resources, thus encoded with less robust representation against the interference from the intervening material between codependents. Interestingly, we also observe a mild anti-locality pattern for unexpected retrieval target, pointing to a potential competition between memory- and expectation-based sentence processing mechanisms under the impact of strategic allocation of memory resources.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/09j052r0</dc:identifier><dc:identifier>https://escholarship.org/content/qt09j052r0/qt09j052r0.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4s6892gw</identifier><datestamp>2026-07-31T13:44:56Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4s6892gw</dc:identifier><dc:title>On the Ordinary Concept of Intelligence</dc:title><dc:creator>pavese, carlotta</dc:creator><dc:creator>Henne, Paul</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Attributions of intelligence affect political discourse (Hartman
et al., 2023; Knöchelmann &amp;amp; Cohrs, 2024; Oktar &amp;amp; Lombrozo,
2026; Stanley et al., 2020), perceptions of animals' moral standing
(Piazza et al., 2014; Ruby &amp;amp; Heine, 2012; Sytsma &amp;amp; Machery,
2012), and perceptions of AI (Joo, 2024; Ladak et al.,
2024). Thus, it matters how people tend to attribute intelligence.
The folk psychology of intelligence, however, does not
figure prominently in discussions of folk psychology (Andrews,
2012; Fodor, 1987; Goldman, 2006; Nichols &amp;amp; Stich, 2003;
Stich, 1983), and researchers have yet to extensively investigate
this topic empirically. Here, we experimentally investigate
whether people attribute intelligence differently across different
types of activities and their practitioners, depending on whether
the activities are intellectual or embodied. In three experiments,
we find evidence for the Differential Use Hypothesis.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Philosophy</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Intelligent agents</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Semantics of language</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:subject>Survey</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4s6892gw</dc:identifier><dc:identifier>https://escholarship.org/content/qt4s6892gw/qt4s6892gw.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5kg0z89r</identifier><datestamp>2026-07-31T13:44:55Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5kg0z89r</dc:identifier><dc:title>MLDA-STG: A Multi-Level Domain Adaptation Spatio-Temporal Graph Network for Cross-Subject EEG Fatigue Detection</dc:title><dc:creator>Zhang, Jiahui</dc:creator><dc:creator>Chen, Rongtao</dc:creator><dc:creator>Huang, Zhuoyi</dc:creator><dc:creator>Xie, Chuwen</dc:creator><dc:creator>Pan, Jiahui</dc:creator><dc:creator>Qiu, Lina</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Reliable decoding of cognitive fatigue from Electroencephalography (EEG) is essential for monitoring sustained attention but is hampered by significant inter-subject variability in neural dynamics. To address the resulting domain shift, we propose the Multi-Level Domain Adaptation Network with an Enhanced Spatio-Temporal Graph (MLDA-STG). Our approach uniquely models the evolving functional connectivity of the brain during cognitive decline through a dynamic graph fusion network, while a collaborative learning mechanism disentangles personalized neural traits from shared fatigue patterns. Crucially, we introduce a Multi-Level Alignment framework that goes beyond global adaptation to align conditional distributions, preserving the semantic structure of cognitive states across individuals.
Evaluations on the SEED-VIG and SADT datasets demonstrate that MLDA-STG achieves state-of-the-art performance, offering a robust solution for calibration-free cognitive state assessment. The source code is available at: https://github.com/zjh-sys/MLDA-STG.git.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Computer Science</dc:subject><dc:subject>Computational neuroscience</dc:subject><dc:subject>Electroencephalography (EEG)</dc:subject><dc:subject>Neural Networks</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5kg0z89r</dc:identifier><dc:identifier>https://escholarship.org/content/qt5kg0z89r/qt5kg0z89r.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt34f005nb</identifier><datestamp>2026-07-31T13:44:55Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt34f005nb</dc:identifier><dc:title>Metacognitive Active Perception with Memory-Guided Hypothesis Verification</dc:title><dc:creator>Peng, Chengyi</dc:creator><dc:creator>Peng, Yifei</dc:creator><dc:creator>Wang, Zichen</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Current multimodal visual models continue to improve in perceptual performance, yet still rely on passive, dense processing, resulting in high computational overhead. From a cognitive perspective, existing methods incorporate limited prior memory and resource allocation during perception, making it difficult to construct perception as goal-directed sequential decision-making. This paper proposes an active metacognitive framework inspired by biological memory priors, organizing visual understanding as a memory-driven hypothesis–verification process. The model forms initial beliefs from low-resolution global information and internal memory, and selects local observations to reduce uncertainty. As evidence accumulates, the system adaptively terminates perception based on confidence, enabling on-demand allocation of computational resources. Experiments across visual complexity settings show that this approach matches or surpasses traditional models while reducing inference time and token usage by approximately 15–30%, and produces structured, interpretable observation sequences.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Embodied Cognition</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Eye tracking</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/34f005nb</dc:identifier><dc:identifier>https://escholarship.org/content/qt34f005nb/qt34f005nb.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt685451n4</identifier><datestamp>2026-07-31T13:44:52Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt685451n4</dc:identifier><dc:title>How the Teaching Style and Interpretation Type of State Interventions Shape Multi-Agent Coordination</dc:title><dc:creator>Zhong, Zhuolun</dc:creator><dc:creator>Caspar, Luc</dc:creator><dc:creator>Austerweil, Joseph Larry</dc:creator><dc:date>2026-01-01</dc:date><dc:description>How can an external teacher accelerate coordination among multiple learning agents? We investigate this question in a multi-agent foraging task where a simulated teacher can physically relocate agents—a direct but ambiguous pedagogical signal. We formalize a taxonomy of teaching styles (e.g., Undoing, Correcting) and agent interpretation rules. Our computational experiments reveal that the Undoing style is a uniquely powerful catalyst for spatial coordination, most effectively breaking behavioral symmetry between two agents by imposing spatial constraints that define "home regions." This catalytic effect scales, reinforcing niche specialization in three-agent systems. However, success is governed by a pedagogical matching principle: interventions fail when the agent's interpretation rule mismatches the teacher's intent (e.g., Correcting fails when interventions are interpreted as punitive). Our work provides a formal framework showing how structured guidance and agent interpretation jointly shape the emergence of collective organization.</dc:description><dc:subject>Computer Science</dc:subject><dc:subject>Instruction and teaching</dc:subject><dc:subject>Intelligent agents</dc:subject><dc:subject>Agent-based Modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/685451n4</dc:identifier><dc:identifier>https://escholarship.org/content/qt685451n4/qt685451n4.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2zb8m37s</identifier><datestamp>2026-07-31T13:44:50Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2zb8m37s</dc:identifier><dc:title>The disjunction effect does not violate the Law of Total Probability</dc:title><dc:creator>Gelastopoulos, Alexandros</dc:creator><dc:creator>Le Mens, Gael</dc:creator><dc:date>2026-01-01</dc:date><dc:description>The disjunction effect (DE) refers to an empirical violation of the Sure-Thing Principle, which states that if a person is willing to take an action independently of the outcome of some event, then they must be willing to do so even when the outcome of the event is unknown. In practice, authors report a population-level version of this phenomenon, specifically that fewer people are willing to take the proposed action when the outcome of the event is unknown than for any possible known outcome. This latter condition has received a lot of attention, because it presumably violates the Law of Total Probability. Here we show that this assertion is false and, consequently, this population-level version cannot be interpreted as a DE. This calls for a reevaluation of experimental results that have been interpreted as showing a DE based on the above condition.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Mathematical modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2zb8m37s</dc:identifier><dc:identifier>https://escholarship.org/content/qt2zb8m37s/qt2zb8m37s.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7mc1272p</identifier><datestamp>2026-07-31T13:40:16Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7mc1272p</dc:identifier><dc:title>Conniving with Continuations: Representing Goals in a Domain-Specific Language of Thought</dc:title><dc:creator>Chandra, Kartik</dc:creator><dc:creator>Saxe, Rebecca</dc:creator><dc:creator>Ragan-Kelley, Jonathan</dc:creator><dc:creator>Tenenbaum, Joshua B.</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Wanting composes flexibly with knowing: we can want to know, want to know what someone wants, and so on. This paper offers a goal representation that allows for this type of rich integration with theory-of-mind concepts. We extend the memo programming language (https://github.com/kach/memo), which is specialized for theory-of-mind reasoning, with a new syntactic construct called "wants" that represents goals. To implement "wants," we borrow an idea from programming language theory: the notion of a "continuation," which allows reasoning about possible future states of a program. We show that this construct can be used to represent a variety of interesting goals, and discuss what it can teach us about the concept of desire more broadly.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7mc1272p</dc:identifier><dc:identifier>https://escholarship.org/content/qt7mc1272p/qt7mc1272p.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3kq8x663</identifier><datestamp>2026-07-31T13:40:15Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3kq8x663</dc:identifier><dc:title>From Emotions to Virtues: Linking Anger to Justice and Empathic Pain to Humanity</dc:title><dc:creator>Ebo, Regina N</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Emotions serve a host of informative functions, from revealing one's internal states to communicating their goals and intentions. However, little is known about whether emotions signal one's moral character. This work explores this outstanding question in the case of anger and empathic pain. Across two studies, we found that both facial (S1; N= 594) and vocal (S2; N= 572) expressions of anger and empathic pain signaled justice and humanity virtues, respectively. We additionally found perceivers' evaluations of these emotions to be dependent on context. Perceivers were more sympathetic towards empathic pain versus anger expressions in a harm context, but showed no difference in an unjust context. However, in both harm and unjust contexts, perceivers had less negative beliefs about empathic pain expressions. These findings suggest that emotions can serve as multimodal signals of moral virtues and point to the relevance of context in perceivers' evaluations of emotions.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Emotion</dc:subject><dc:subject>Emotion Perception</dc:subject><dc:subject>Empathy</dc:subject><dc:subject>Social cognition</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3kq8x663</dc:identifier><dc:identifier>https://escholarship.org/content/qt3kq8x663/qt3kq8x663.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7sn2r2rh</identifier><datestamp>2026-07-31T13:40:05Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7sn2r2rh</dc:identifier><dc:title>Finding Flaws: Using Small Group Discussions to Improve Understanding of Experimental Design</dc:title><dc:creator>Wiley, Jennifer</dc:creator><dc:creator>Hildenbrand, Lena</dc:creator><dc:creator>Britt, M. Anne</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Many students lack skills in comprehending summaries of scientific studies as well as thinking critically about experimental designs and evidence. This research explored whether group discussion activities may help support skills needed for understanding and evaluating research summaries, specifically when there is a lack of evidence for stated conclusions due to flaws in research designs. This study was conducted in undergraduate Research Methods in Psychology courses, using discussion activities where students were asked to read short reports of studies similar to popular media accounts of research findings. The study manipulated only discussion group size (twos, threes and fours) while holding all other aspects of instruction constant. Individual performance on tasks asking students to find flaws in new examples was better on average after working in groups of four compared to groups of two, and weaker students were more likely to benefit from interacting with peers after working in groups of four.</dc:description><dc:subject>Education</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Group Behaviour</dc:subject><dc:subject>Instruction and teaching</dc:subject><dc:subject>Learning</dc:subject><dc:subject>Classroom studies</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7sn2r2rh</dc:identifier><dc:identifier>https://escholarship.org/content/qt7sn2r2rh/qt7sn2r2rh.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9pg8x0z9</identifier><datestamp>2026-07-31T13:40:04Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9pg8x0z9</dc:identifier><dc:title>Improve Auditory Perturbation RSVP EEG Signal Decoding By Dual-view Backbone Based Dual-Stream Knowledge Distillation Network</dc:title><dc:creator>Fu, Boxun</dc:creator><dc:creator>Zhang, Jiachen</dc:creator><dc:creator>Li, Fu</dc:creator><dc:creator>Zhang, Xi</dc:creator><dc:creator>Li, Junkai</dc:creator><dc:creator>Cai, Xiaohui</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Rapid Serial Visual Presentation (RSVP) is a critical cognitive paradigm for investigating visual attention dynamics and developing high-speed Brain-Computer Interfaces (BCIs). However, real-world deployment faces challenges from environmental noise, particularly cross-modal auditory perturbations that degrade neural decoding. This work proposes the Time-Frequency Dual-View Network (TFDV-Net), which fuses time-domain and frequency-domain features via a global-local interaction backbone to capture weak ERP signals. Furthermore, a Dual-Stream Knowledge Distillation strategy is introduced to enhance robustness, enforcing the model to reconstruct task-invariant cognitive patterns from noise-corrupted signals by learning from a "clean-state" teacher. The proposed method achieves a state-of-the-art balanced accuracy of 83.02% on a dataset containing ecological noise. Notably, we find that semantic conversational noise induces a significantly larger performance drop compared to non-semantic urban noise. This result quantitatively validates the hypothesis that high-level semantic processing imposes a greater cognitive load on the visual attention system than low-level acoustic interference.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:subject>Machine learning</dc:subject><dc:subject>Electroencephalography (EEG)</dc:subject><dc:subject>Neural Networks</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9pg8x0z9</dc:identifier><dc:identifier>https://escholarship.org/content/qt9pg8x0z9/qt9pg8x0z9.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8646z0bm</identifier><datestamp>2026-07-31T13:40:02Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8646z0bm</dc:identifier><dc:title>Visual Cognition Inspired Network for Few-Shot Fine-Grained Image Classification</dc:title><dc:creator>Liu, Yongqi</dc:creator><dc:creator>Chen, Yao</dc:creator><dc:creator>Chen, Zhongpu</dc:creator><dc:creator>Wang, Zhi-Jie</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Few-shot fine-grained image classification (FSFGIC) is the task of developing computational models to recognize highly similar sub-categories from minimal training data. This task poses a core dilemma: over-emphasizing local details makes models vulnerable to noise and overfitting, while relying on global features often lacks the sensitivity required for fine-grained discrimination. Inspired by the human visual cognition strategy of dynamically balancing global and local information, we propose an Adaptive Global–Local Balance Network (AGLB-Net), a framework that computationally implements adaptive global– local integration for FSFGIC. AGLB-Net introduces two key modules: a Hierarchical Discriminative Feature Refinement (HDFR) module that progressively integrates representations from global semantics to fine-grained details, and an Adaptive Regional Re-Attention Module (ARRM) that automatically localizes and emphasizes discriminative regions without additional supervision. Extensive experiments on widely-used benchmarks demonstrate that AGLB-Net consistently achieves state-of-the-art performance across various few-shot settings, validating the effectiveness of human visual cognition-inspired adaptive global–local balancing in FSFGIC.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Computer Science</dc:subject><dc:subject>Neuroscience</dc:subject><dc:subject>Analogy</dc:subject><dc:subject>Machine learning</dc:subject><dc:subject>Pattern recognition</dc:subject><dc:subject>Perception</dc:subject><dc:subject>Representation</dc:subject><dc:subject>Vision</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8646z0bm</dc:identifier><dc:identifier>https://escholarship.org/content/qt8646z0bm/qt8646z0bm.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5r16q39j</identifier><datestamp>2026-07-31T13:40:01Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5r16q39j</dc:identifier><dc:title>Acoustic Representations Support Statistical Learning of Syllable Sequences: A Computational Study</dc:title><dc:creator>Jurov, Nika</dc:creator><dc:creator>Schatz, Thomas</dc:creator><dc:date>2026-01-01</dc:date><dc:description>The human ability to track sequential regularities in speech has been thoroughly studied through both human experiments and computational modeling. These two approaches usually complement each other, in a virtuous cycle between theory and experiment. Yet, they currently seem disconnected when it comes to taking into account the acoustic details of speech. Advances in AI technology now enable computational modeling of statistical learning directly from raw unlabeled continuous recordings. However, when designing and interpreting results from human experiments, speech typically remains modeled in terms of abstract categories -- like syllables -- without consideration of acoustic details. Here, we bridge this gap by showing that learning from low-level auditory speech representations, rather than from more abstract alternatives, better matches human behavior in statistical learning experiments. This calls into question common assumptions about human learners' representations and underlines the importance of controlling for low-level auditory confounds in the design of statistical learning experiments.</dc:description><dc:subject>Cognitive architectures</dc:subject><dc:subject>Language acquisition</dc:subject><dc:subject>Perception</dc:subject><dc:subject>Statistical learning</dc:subject><dc:subject>Neural Networks</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5r16q39j</dc:identifier><dc:identifier>https://escholarship.org/content/qt5r16q39j/qt5r16q39j.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4bh492mp</identifier><datestamp>2026-07-31T13:39:59Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4bh492mp</dc:identifier><dc:title>Exploring Visual Perception Through Eye Movements: Effects of Stimulus Structure and Task Demands</dc:title><dc:creator>Nasreen, Shazia</dc:creator><dc:creator>Guha, Rajlakshmi</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Eye movements offer a sensitive window into the cognitive mechanisms that underlie visual attention and perceptual processing. While existing research has largely focused on structured, semantically rich images, less is known about how eye parameters reflect the processing of ambiguous stimuli under varying task demands. This research addresses this gap through three complementary studies that examine eye movements during free viewing and task-based viewing of structured, ambiguous, and blank visual stimuli. Results indicate that during free viewing, Total Fixation Duration and Fixation Count most effectively differentiated stimulus type, with ambiguous stimuli eliciting greater exploratory behavior and a pronounced central fixation bias. In task-based viewing of concrete stimuli, Visit Count emerged as the most sensitive indicator. For ambiguous stimuli, increasing chromatic complexity selectively enhanced Fixation Count and Visit Duration. Overall, findings demonstrate parameter-specific sensitivity to cognitive processing and reveal distinct strategies, highlighting eye movements as robust markers of cognitive engagement.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Perception</dc:subject><dc:subject>Comparative Analysis</dc:subject><dc:subject>Eye tracking</dc:subject><dc:subject>Statistics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4bh492mp</dc:identifier><dc:identifier>https://escholarship.org/content/qt4bh492mp/qt4bh492mp.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8f65w258</identifier><datestamp>2026-07-31T13:39:54Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8f65w258</dc:identifier><dc:title>Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians</dc:title><dc:creator>Chandra, Kartik</dc:creator><dc:creator>Kleiman-Weiner, Max</dc:creator><dc:creator>Ragan-Kelley, Jonathan</dc:creator><dc:creator>Tenenbaum, Joshua B.</dc:creator><dc:date>2026-01-01</dc:date><dc:description>"Delusional spiraling'' is a form of AI-induced psychosis, an emerging phenomenon where AI chatbot users find themselves dangerously confident in outlandish beliefs. This phenomenon is popularly attributed to "sycophancy,'' chatbots' well-documented bias towards validating users' claims. But an explanation of why sycophancy should cause delusional spirals---and why they occur only rarely, but seriously---has not been forthcoming. Here we take a theoretical and computational approach to probing the causal link between sycophancy and delusional spiraling. We propose a simple Bayesian model of a user conversing with a chatbot, and formalize notions of sycophancy and delusional spiraling in that model. We then show that in this model, even an ideal Bayesian user is vulnerable to delusional spiraling, and that sycophancy plays a causal role. Furthermore, this effect persists despite two candidate mitigations: preventing chatbots from hallucinating false claims, and informing users of AI sycophancy. The full paper is available at .</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8f65w258</dc:identifier><dc:identifier>https://escholarship.org/content/qt8f65w258/qt8f65w258.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt66f7s9fj</identifier><datestamp>2026-07-31T13:39:53Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt66f7s9fj</dc:identifier><dc:title>Stereotype Threat Favors Accuracy Over Speed: Dismantling the Influence of Gender Stereotypes on the Speed-Accuracy Tradeoff in Mathematical Tasks</dc:title><dc:creator>Keller, Kim Sophie</dc:creator><dc:creator>Voss, Andreas</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Stereotype Threat describes the negative impact on cognitive performance caused by the activation of negative social stereotypes. This study investigates the underlying cognitive mechanisms of gender-specific Stereotype Threat effects. Four online experiments were conducted with 1,164 participants, randomly assigned to either a Stereotype Threat or a control condition. To model the underlying cognitive processes, parameters of the drift diffusion model were estimated and effects on accuracy and response times were reported. Results showed no differences in accuracy as an effect of Stereotype Threat. However, women in the Stereotype Threat condition consistently responded more slowly and, in one experiment, exhibited a higher threshold separation when completing the mathematical task, indicating more conservative response tendencies, compared to men and the control group. The study addresses the need for potential interventions such as stereotype awareness to mitigate these effects and calls for further research into cultural and social influencing factors.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/66f7s9fj</dc:identifier><dc:identifier>https://escholarship.org/content/qt66f7s9fj/qt66f7s9fj.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3bn5r9c7</identifier><datestamp>2026-07-31T13:39:53Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3bn5r9c7</dc:identifier><dc:title>Mind the Bind: Mapping Expertise in Semantic Schemata Using Network Science</dc:title><dc:creator>Tameling, Jan-Filip</dc:creator><dc:creator>Wagner, Valentin</dc:creator><dc:creator>Jacobsen, Thomas</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Expertise shapes the organization of semantic knowledge, yet prior work using cognitive network science remains sparse and limited in methodological diversity. Study 1 used a free-listing task to identify the concepts constituting the visual art schema in experts and laypeople. Study 2 collected pairwise relatedness judgements of these concepts to construct individual semantic networks. Higher expertise was associated with richer and more diverse schemata, more individualized networks, higher clustering coefficients, shorter average shortest path lengths, and unchanged modularity. Node-level analyses showed that fluency enhanced the structure of basic concepts, while the full advantage of experts emerged through integration of advanced concepts. These findings link expertise to more efficient and differentiated semantic networks, suggesting a mechanism by which knowledge organization supports expert-level cognition.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Art and Cognition</dc:subject><dc:subject>Semantic memory</dc:subject><dc:subject>Knowledge representation</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3bn5r9c7</dc:identifier><dc:identifier>https://escholarship.org/content/qt3bn5r9c7/qt3bn5r9c7.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4td0p2vq</identifier><datestamp>2026-07-31T13:39:28Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4td0p2vq</dc:identifier><dc:title>Disparities in Drinking Water Manganese Concentrations in Domestic Wells and Community Water Systems in the Central Valley, CA, USA</dc:title><dc:creator>Aiken, Miranda L</dc:creator><dc:creator>Pace, Clare E</dc:creator><dc:creator>Ramachandran, Maithili</dc:creator><dc:creator>Schwabe, Kurt A</dc:creator><dc:creator>Ajami, Hoori</dc:creator><dc:creator>Link, Bruce G</dc:creator><dc:creator>Ying, Samantha C</dc:creator><dc:date>2023-02-07</dc:date><dc:description>Over 1.3 million Californians rely on unmonitored domestic wells. Existing probability estimates of groundwater Mn concentrations, population estimates, and sociodemographic data were integrated with spatial data delineating domestic well communities (DWCs) to predict the probability of high Mn concentrations in extracted groundwater within DWCs in California's Central Valley. Additional Mn concentration data of water delivered by community water systems (CWSs) were used to estimate Mn in public water supply. We estimate that 0.4% of the DWC population (2342 users) rely on groundwater with predicted Mn &amp;gt; 300 μg L-1. In CWSs, 2.4% of the population (904 users) served by small CWSs and 0.4% of the population (3072 users) served by medium CWS relied on drinking water with mean point-of-entry Mn concentration &amp;gt;300 μg L-1. Small CWSs were less likely to report Mn concentrations relative to large CWSs, yet a higher percentage of small CWSs exceed regulatory standards relative to larger systems. Modeled calculations do not reveal differences in estimated Mn concentration between groundwater from current regional domestic well depth and 33 m deeper. These analyses demonstrate the need for additional well-monitoring programs that evaluate Mn and increased access to point-of-use treatment for domestic well users disproportionately burdened by associated costs of water treatment.</dc:description><dc:subject>3707 Hydrology (for-2020)</dc:subject><dc:subject>41 Environmental Sciences (for-2020)</dc:subject><dc:subject>37 Earth Sciences (for-2020)</dc:subject><dc:subject>Social Determinants of Health (rcdc)</dc:subject><dc:subject>6 Clean Water and Sanitation (sdg)</dc:subject><dc:subject>Drinking Water (mesh)</dc:subject><dc:subject>Manganese (mesh)</dc:subject><dc:subject>Water Pollutants</dc:subject><dc:subject>Chemical (mesh)</dc:subject><dc:subject>Water Supply (mesh)</dc:subject><dc:subject>Water Wells (mesh)</dc:subject><dc:subject>Groundwater (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>human right to water</dc:subject><dc:subject>secondary data</dc:subject><dc:subject>well depth</dc:subject><dc:subject>redox conditions</dc:subject><dc:subject>community water systems</dc:subject><dc:subject>domestic well communities</dc:subject><dc:subject>Manganese (mesh)</dc:subject><dc:subject>Water Pollutants</dc:subject><dc:subject>Chemical (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Water Supply (mesh)</dc:subject><dc:subject>Groundwater (mesh)</dc:subject><dc:subject>Drinking Water (mesh)</dc:subject><dc:subject>Water Wells (mesh)</dc:subject><dc:subject>community water systems</dc:subject><dc:subject>domestic well communities</dc:subject><dc:subject>human right to water</dc:subject><dc:subject>redox conditions</dc:subject><dc:subject>secondary data</dc:subject><dc:subject>well depth</dc:subject><dc:subject>Drinking Water (mesh)</dc:subject><dc:subject>Manganese (mesh)</dc:subject><dc:subject>Water Pollutants</dc:subject><dc:subject>Chemical (mesh)</dc:subject><dc:subject>Water Supply (mesh)</dc:subject><dc:subject>Water Wells (mesh)</dc:subject><dc:subject>Groundwater (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Environmental Sciences (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4td0p2vq</dc:identifier><dc:identifier>https://escholarship.org/content/qt4td0p2vq/qt4td0p2vq.pdf</dc:identifier><dc:identifier>info:doi/10.1021/acs.est.2c08548</dc:identifier><dc:type>article</dc:type><dc:source>Environmental Science and Technology, vol 57, iss 5</dc:source><dc:coverage>1987 - 1996</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6xk941fr</identifier><datestamp>2026-07-31T13:39:12Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6xk941fr</dc:identifier><dc:title>Assessing Perceptual Metacognition in Vision-Language Models</dc:title><dc:creator>Ji, Ran</dc:creator><dc:creator>Wang, Maijunxian</dc:creator><dc:creator>Gao, Qingying</dc:creator><dc:creator>Li, Yijiang</dc:creator><dc:creator>Deng, Hokin</dc:creator><dc:creator>Luo, Dezhi</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Vision-language models (VLMs) have demonstrated unprecedented capabilities in perception and reasoning, yet their perceptual metacognitive abilities remain unexamined, a gap with implications for reliable deployment and welfare considerations. We evaluated six open-source VLMs on perceptual decision-making tasks, comparing implicit (logit-based) and explicit (self-reported) metacognition. Models exhibited robust implicit calibration and sensitivity on high-performance tasks but unreliable explicit confidence reports with poor calibration and task-dependent sensitivity. Process modeling further revealed that both confidence measures converged on classic Signal Detection Theory, suggesting VLMs lack the metacognitive monitoring mechanisms that differentiate decision and confidence processes in humans. Together, we showed that current VLMs thus limited perceptual metacognition with notable dissociations between implicit and explicit confidence.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Perception</dc:subject><dc:subject>Vision</dc:subject><dc:subject>Psychophysics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6xk941fr</dc:identifier><dc:identifier>https://escholarship.org/content/qt6xk941fr/qt6xk941fr.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9bd4r0z9</identifier><datestamp>2026-07-31T13:39:10Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9bd4r0z9</dc:identifier><dc:title>Assembly Instructions for the Modular Mind</dc:title><dc:creator>Chandra, Kartik</dc:creator><dc:creator>Ragan-Kelley, Jonathan</dc:creator><dc:creator>Tenenbaum, Joshua B.</dc:creator><dc:creator>Saxe, Rebecca</dc:creator><dc:date>2026-01-01</dc:date><dc:description>How do domain-specific cognitive systems interface with knowledge from beyond their respective domains? In this paper, we draw on the notion of domain-specificity in programming language theory to provide a computational account of how domain-specific systems might interface with domain-general world knowledge, as well as with other domain-specific systems.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Cognitive architectures</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9bd4r0z9</dc:identifier><dc:identifier>https://escholarship.org/content/qt9bd4r0z9/qt9bd4r0z9.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1vt4v5v2</identifier><datestamp>2026-07-31T13:39:10Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1vt4v5v2</dc:identifier><dc:title>Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations</dc:title><dc:creator>Zhu, Jian-Qiao</dc:creator><dc:creator>Yan, Haijiang</dc:creator><dc:creator>Griffiths, Tom</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Changing the behavior of large language models (LLMs) can be as straightforward as editing the Transformer's residual streams using appropriately constructed "steering vectors.'' These modifications to internal neural activations, a form of representation engineering, offer an effective and targeted means of influencing model behavior without retraining or fine-tuning the model. But how can such steering vectors be systematically identified? We propose a principled approach, which we call self-alignment, that uncovers steering vectors by aligning latent representations elicited through behavioral methods (specifically, Markov chain Monte Carlo with LLMs) with their neural counterparts. To evaluate this approach, we focus on extracting latent risk preferences from LLMs and steering their risk-related outputs using the aligned representations as steering vectors. We show that the resulting steering vectors successfully and reliably modulate LLM outputs in line with the targeted behavior.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Machine learning</dc:subject><dc:subject>Representation</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1vt4v5v2</dc:identifier><dc:identifier>https://escholarship.org/content/qt1vt4v5v2/qt1vt4v5v2.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0360831j</identifier><datestamp>2026-07-31T13:39:08Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0360831j</dc:identifier><dc:title>Attentional Demand and Subliminal Affect Jointly Regulate Task Performance and Mind Wandering</dc:title><dc:creator>Biswas, Rajashree</dc:creator><dc:creator>van Boxtel, Jeroen</dc:creator><dc:creator>Windt, Jennifer</dc:creator><dc:creator>Gupta, Rashmi</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Understanding how attention and emotion shape conscious experience remains a central challenge in cognitive science. The present study examined how perceptual load and subliminal emotional information influence task performance and mind wandering. Participants performed a letter search task under low and high perceptual load while being subliminally primed with task-irrelevant happy or angry faces. Thought probes assessed task-unrelated thought, including deliberate and unintentional forms, with block length varied to reduce predictability. High perceptual load slowed responses and reduced accuracy, consistent with load theory. Emotional valence showed limited modulation, with happy faces associated with interference across load conditions and angry faces showing some influence under low load. Mind wandering increased with block length and showed modest modulation by load and emotion, particularly for unintentional task-unrelated thought. Trait mind wandering and ADHD symptoms were associated with higher task-unrelated thought. Overall, the findings suggest that subliminal emotional signals and attentional demands jointly shape performance and conscious thought.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Philosophy</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Consciousness</dc:subject><dc:subject>Emotion</dc:subject><dc:subject>Emotion Perception</dc:subject><dc:subject>Face Processing</dc:subject><dc:subject>Perception</dc:subject><dc:subject>cognitive neuropsychology</dc:subject><dc:subject>Experience sampling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0360831j</dc:identifier><dc:identifier>https://escholarship.org/content/qt0360831j/qt0360831j.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2v66g6mw</identifier><datestamp>2026-07-31T13:39:02Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2v66g6mw</dc:identifier><dc:title>Decoding Latent Decision Strategies from Think-Aloud Protocols</dc:title><dc:creator>Li, Jiaxuan</dc:creator><dc:creator>Tian, Yufan</dc:creator><dc:creator>Lv, Kangjuan</dc:creator><dc:creator>He, Lisheng</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Latent decision strategies are central to human behavior and cognition. They may differ across persons and fluctuate over time within a single person. This paper introduces a framework that extracts latent, trial-level decision strategies from think-aloud verbalizations, with the resulting strategy estimates mapped onto formal strategy identification via quantitative model selection. We validated this approach with two intertemporal choice experiments, in which participants verbalized their thoughts while making binary choices between smaller-sooner and larger-later options in free-choice (Experiment 1) or instructed (Experiment 2) conditions. We used three popular LLMs to rate participants' alternative-based versus attribute-based evaluations based on their think-aloud protocols at the trial level. Results suggest that think-aloud protocols effectively capture individual variations in decision strategies, as reflected in comparisons between computational models, and can detect strategy shifts due to instructions. Our framework offers a scalable, powerful tool for understanding latent cognitive processes underlying human choice behavior.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Verbal protocol studies</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2v66g6mw</dc:identifier><dc:identifier>https://escholarship.org/content/qt2v66g6mw/qt2v66g6mw.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3gx6c1q0</identifier><datestamp>2026-07-31T13:38:59Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3gx6c1q0</dc:identifier><dc:title>Eliciting Trustworthiness Priors of Large Language Models via Economic Games</dc:title><dc:creator>YAN, Siyu</dc:creator><dc:creator>Zhu, Jian-Qiao</dc:creator><dc:creator>Zhu, Lusha</dc:creator><dc:date>2026-01-01</dc:date><dc:description>One critical aspect of building human-centered, trustworthy artificial intelligence (AI) systems is maintaining calibrated trust: appropriate reliance on AI systems outperforms both overtrust (e.g., automation bias) and undertrust (e.g., disuse). A fundamental challenge, however, is how to characterize the level of trust exhibited by an AI system itself. Here, we propose a novel elicitation method based on iterated in-context learning (Zhu &amp;amp; Griffiths, 2024a)  and apply it to elicit trustworthiness priors using the Trust Game from behavioral game theory. The Trust Game is particularly well suited for this purpose because it operationalizes trust as voluntary exposure to risk based on beliefs about another agent, rather than self-reported attitudes. Using our method, we elicit trustworthiness priors from several leading large language models (LLMs) and find that GPT-4.1's trustworthiness priors closely track those observed in humans. Building on this result, we further examine how GPT-4.1 responds to different player personas in the Trust Game, providing an initial characterization of how such models differentiate trust across agent characteristics. Finally, we show that variation in elicited trustworthiness can be well predicted by a stereotype-based model grounded in perceived warmth and competence.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Machine learning</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3gx6c1q0</dc:identifier><dc:identifier>https://escholarship.org/content/qt3gx6c1q0/qt3gx6c1q0.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt91r85148</identifier><datestamp>2026-07-31T13:38:50Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt91r85148</dc:identifier><dc:title>Beyond Compliance: Children's Perceived Agency and Agentic Interpretation of Parental Control in Family Decision-Making</dc:title><dc:creator>Fan, Weiwei</dc:creator><dc:creator>Christie, Stella</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Abstract
Classic socialization frameworks often link parental control with reduced child agency, yet less is known about how children cognitively process external constraints. This study examines the control-agency model by investigating: (1) how maternal beliefs shape children's perceived agency within the Chinese Guan (governance) context, and (2) how children cognitively navigate situations of maximal constraint. Using a novel vignette-based family decision-making task with 82 mother–child dyads (Mage = 6.6) alongside parental belief questionnaires, we assessed maternal beliefs about Guan and child agency, maternal decision dominance, and children's perceived agency across everyday scenarios. Boundary cases of minimal perceived agency were further examined to probe children's interpretations of maternal control and their strategic responses. Results showed maternal beliefs significantly predicted children's perceived agency independently of decision dominance. In the learning scenario, agency beliefs positively predicted perceived agency (_ = .791, p = .043), whereas control-oriented Guan beliefs negatively predicted it (_ = -.510, p = .009; R_ = .151). Additionally, in boundary cases, children's perceived agency significantly informed their interpretations and strategies, yet these two outputs frequently diverged, indicating functional decoupling. These findings indicate that children's agency is not reducible to behavioral autonomy, but also involves internal interpretive processes even under high constraints.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Cognitive development</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Qualitative Analysis</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/91r85148</dc:identifier><dc:identifier>https://escholarship.org/content/qt91r85148/qt91r85148.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2dj905c1</identifier><datestamp>2026-07-31T13:38:50Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2dj905c1</dc:identifier><dc:title>Debiasing Central Fixation Confounds Reveals a Peripheral "Sweet Spot" for Human-like Scanpaths in Hard-Attention Vision</dc:title><dc:creator>Pan, Pengcheng</dc:creator><dc:creator>Yonekura, Shogo</dc:creator><dc:creator>Kuniyoshi, Yasuo</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Human eye movements in visual recognition reflect a balance between foveal sampling and peripheral context, but evaluating whether artificial scanpaths are "human-like" is difficult on object-centric datasets with strong center bias.
Using Gaze-CIFAR-10, we show that a trivial center-fixation baseline achieves surprisingly strong scores under common scanpath metrics, blurring the distinction between behavioral alignment and central tendency.
We introduce GCS (Gaze Consistency Score), a practical center-debiased and movement-aware score that normalizes against human and corner references, subtracts the center baseline, and adds a small movement-similarity term.
Applying GCS to a hard-attention classifier under varied fovea-periphery constraints identifies a restricted mid-range regime: a moderate foveal patch with peripheral context yields stronger center-debiased alignment than either narrower or broader alternatives.
This regime is not identified by accuracy alone; the highest-accuracy setting differs from the best-GCS setting.
These results highlight the need for bias-aware scanpath evaluation and suggest that, on Gaze-CIFAR-10 and under this hard-attention setting, perceptual constraints shape when task-trained policies appear relatively human-like.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Intelligent agents</dc:subject><dc:subject>Perception</dc:subject><dc:subject>Vision</dc:subject><dc:subject>Neural Networks</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2dj905c1</dc:identifier><dc:identifier>https://escholarship.org/content/qt2dj905c1/qt2dj905c1.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0xd83685</identifier><datestamp>2026-07-31T13:38:49Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0xd83685</dc:identifier><dc:title>Preserving Inter-Brain Coupling: A Constraint-Based Preprocessing Method for Collaborative Multi-brain Motor Imagery</dc:title><dc:creator>Zhu, Li</dc:creator><dc:creator>Chen, Xinlei</dc:creator><dc:creator>Tu, Mengqi</dc:creator><dc:creator>Shi, Yunqi</dc:creator><dc:creator>Cichocki, Andrzej</dc:creator><dc:creator>Kong, Wanzeng</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Traditional collaborative Brain Computer Interface (cBCI) pipelines treat participants as independent entities, inadvertently suppressing inter-brain neural dependencies critical for hyperscanning-based tasks. We propose an Inter-brain Coupling-Constrained Independent Component Analysis (ICC-ICA) method that incorporates a coupling gradient into the objective function to preserve shared neural signatures. Validated on a motor imagery (MI) dataset, our approach demonstrates that integrating inter-brain constraints does not compromise signal quality, yielding a stable 1.76% accuracy improvement. Crucially, functional network analysis reveals enhanced recovery of inter-brain links primarily localized in task-relevant motor regions. Furthermore, ICC-ICA shows superior retention of both intra-frequency and cross-frequency coupling across the entire task duration. These findings demonstrate that explicitly regularizing the ICA update rule with inter-participant constraints effectively safeguards social brain markers, providing a robust foundation for group-level neural decoding and more valid collaborative BCI systems.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Neuroscience</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Group Behaviour</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Electroencephalography (EEG)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0xd83685</dc:identifier><dc:identifier>https://escholarship.org/content/qt0xd83685/qt0xd83685.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0t8842vw</identifier><datestamp>2026-07-31T13:38:47Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0t8842vw</dc:identifier><dc:title>DST-GN: Predicting Human Mobility via Disentangled Spatio-Temporal and Category Graph Networks</dc:title><dc:creator>Cui, Jianqun</dc:creator><dc:creator>Zhang, Jianing</dc:creator><dc:creator>Wang, Min</dc:creator><dc:creator>Chang, Yanan</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Predicting human mobility, specifically next Point-of-Interest (POI) suggestions, requires modeling how individuals integrate spatial, temporal and category cues during decision-making. However, existing computational models often conflate these heterogeneous signals or struggle with data sparsity. We propose the Disentangled Spatio-Temporal and Category Graph Network (DST-GN), a framework that reconstructs cognitive maps through representation learning. DST-GN models spatial, temporal and category contexts as independent graph views, employing Graph Attention Networks (GAT) to learn view-specific embeddings. To ensure coherence across these disentangled pathways, we introduce a cross-view contrastive learning mechanism that aligns signals into a unified semantic space. Furthermore, a global Collective Flow Enhancer is integrated to mitigate data sparsity by leveraging population-level heuristics. Experimental results on three real-world datasets show that our model outperforms state-of-the-art techniques, achieving average improvements of 22.84% in HR@10 and 18.55% in NDCG@10.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Neural Networks</dc:subject><dc:subject>Social media analysis</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0t8842vw</dc:identifier><dc:identifier>https://escholarship.org/content/qt0t8842vw/qt0t8842vw.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7c51q9cg</identifier><datestamp>2026-07-31T13:38:44Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7c51q9cg</dc:identifier><dc:title>Asymmetric Effects of Retrieval Practice on Temporal and Spatial Dimensions in Episodic Memory</dc:title><dc:creator>Pu, Kecen</dc:creator><dc:creator>Shi, Aike</dc:creator><dc:creator>Liu, Xiaonan L</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Episodic memories are structured by both temporal and spatial relations, yet how these dimensions shape retrieval remains unclear. We investigated how temporal and spatial dimensions differentially contribute to the benefits of retrieval practice using a behavioral paradigm in which participants encoded items in a structured spatiotemporal environment, followed by selective retrieval practice and a final free recall test (N = 54). Across analyses, we replicated contiguity effects in both domains, confirming that recall is influenced by when and where experiences occurred. Retrieval-induced benefits were selective: non-practiced items studied closer in time to retrieved items showed greater facilitation in final recall, following a graded, distance-dependent function. In contrast, spatial proximity predicted recall overall but did not exhibit comparable retrieval-induced spillover. Using continuous, item-level indices of retrieval influence, we demonstrate that retrieval practice selectively amplifies temporal structure rather than uniformly strengthening all organizational dimensions.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Cognitive development</dc:subject><dc:subject>Learning</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7c51q9cg</dc:identifier><dc:identifier>https://escholarship.org/content/qt7c51q9cg/qt7c51q9cg.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8cd208z9</identifier><datestamp>2026-07-31T13:38:39Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8cd208z9</dc:identifier><dc:title>A Computational Theory of Dignity</dc:title><dc:creator>Chandra, Kartik</dc:creator><dc:creator>Tenenbaum, Joshua B.</dc:creator><dc:creator>Saxe, Rebecca</dc:creator><dc:date>2026-01-01</dc:date><dc:description>People seem to hold a variety of conflicting intuitions about the concept of dignity. Here, we seek to reverse-engineer the computational basis of these intuitions. We propose a Bayesian model that casts intuitions about dignity as computations about what agents' actions imply about their own and others' social rank. We show through two behavioral experiments that our model captures people's intuitions well, reconciling seemingly conflicting intuitions with a common computational framework.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8cd208z9</dc:identifier><dc:identifier>https://escholarship.org/content/qt8cd208z9/qt8cd208z9.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9nk1m5s2</identifier><datestamp>2026-07-31T13:38:38Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9nk1m5s2</dc:identifier><dc:title>Is Child-Directed Language Optimized for Word Learning? A Computational Study of Verb Meaning Acquisition</dc:title><dc:creator>Padovani, Francesca</dc:creator><dc:creator>Jumelet, Jaap</dc:creator><dc:creator>Matusevych, Yevgen</dc:creator><dc:creator>Bisazza, Arianna</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Is child-directed language (CDL) optimized to support language learning, and which aspects of linguistic development does it facilitate? We investigate this question using neural language models trained on CDL versus adult-directed language (ADL). We selectively remove syntactic or lexical co-occurrence information from the model training data, and evaluate the impact of these manipulations on verb meaning acquisition.
While disrupting syntax impairs learning across all datasets, models trained on CDL and spoken ADL show significantly higher resilience than those trained on written input. 
Tracking semantic and syntactic performance over training, we observe a "semantic-first" trajectory, with verb meanings emerging prior to robust syntactic proficiency, an asynchrony most pronounced in the spoken domain, especially CDL. These results suggest that the advantage for verb learning previously attributed to CDL may instead reflect broader properties of the spoken register, rather than a uniquely CDL-specific optimization.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Language acquisition</dc:subject><dc:subject>Learning</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>Semantics of language</dc:subject><dc:subject>Syntax</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Neural Networks</dc:subject><dc:subject>Quantitative Behavior</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9nk1m5s2</dc:identifier><dc:identifier>https://escholarship.org/content/qt9nk1m5s2/qt9nk1m5s2.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt49d0v00s</identifier><datestamp>2026-07-31T13:35:37Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt49d0v00s</dc:identifier><dc:title>Coupled Interfacial Kinetics and Transport Resistances Govern High-Current Behavior in Bipolar Membranes</dc:title><dc:creator>Torres, Claudio Adrian Ruiz</dc:creator><dc:creator>Zhu, Yaguang</dc:creator><dc:creator>Vulpin, Olivia</dc:creator><dc:creator>Wu, Yifan</dc:creator><dc:creator>Li, Zhuo</dc:creator><dc:creator>Drakopoulos, Michael</dc:creator><dc:creator>Vo, Nghia T</dc:creator><dc:creator>Boettcher, Shannon W</dc:creator><dc:creator>Hatzell, Marta C</dc:creator><dc:creator>Hatzell, Kelsey B</dc:creator><dc:date>2026-07-10</dc:date><dc:description>Bipolar membranes (BPMs) enable electrochemical systems that operate across large pH gradients; however, high-current operation is often limited by voltage losses whose origins remain difficult to resolve in membrane−electrode assemblies. Here, we combine electrochemical impedance spectroscopy with distribution of relaxation times (EIS–DRT) analysis and operando synchrotron X-ray diffraction to examine interfacial polarization, membrane hydration, and transport in commercial and synthesized BPMs. EIS–DRT isolates the BPM-associated interfacial contribution and shows that the commercial BPM exhibits larger water-dissociation-associated overpotentials than the synthesized BPM. Operando hydration mapping shows that both membranes retain water at the bipolar junction during high-current operation, while anode-adjacent hydration gradients are more pronounced in the commercial membrane. These results indicate that high-current voltage losses are not governed by junction water starvation alone but by coupled interfacial polarization and transport resistances.</dc:description><dc:subject>40 Engineering (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>3406 Physical Chemistry (for-2020)</dc:subject><dc:subject>34 Chemical sciences (for-2020)</dc:subject><dc:subject>40 Engineering (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/49d0v00s</dc:identifier><dc:identifier>https://escholarship.org/content/qt49d0v00s/qt49d0v00s.pdf</dc:identifier><dc:identifier>info:doi/10.1021/acsenergylett.6c01540</dc:identifier><dc:type>article</dc:type><dc:source>ACS Energy Letters, vol 11, iss 7</dc:source><dc:coverage>5245 - 5252</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3zf4w0r7</identifier><datestamp>2026-07-31T13:35:13Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3zf4w0r7</dc:identifier><dc:title>Resting state alpha-band functional connectivity and recovery after stroke</dc:title><dc:creator>Westlake, Kelly P</dc:creator><dc:creator>Hinkley, Leighton B</dc:creator><dc:creator>Bucci, Monica</dc:creator><dc:creator>Guggisberg, Adrian G</dc:creator><dc:creator>Findlay, Anne M</dc:creator><dc:creator>Henry, Roland G</dc:creator><dc:creator>Nagarajan, Srikantan S</dc:creator><dc:creator>Byl, Nancy</dc:creator><dc:date>2012-09-01</dc:date><dc:description>After cerebral ischemia, disruption and subsequent reorganization of functional connections occur both locally and remote to the lesion. However, the unpredictable timing and extent of sensorimotor recovery reflects a gap in understanding of these underlying neural mechanisms. We aimed to identify the plasticity of alpha-band functional neural connections within the perilesional area and the predictive value of functional connectivity with respect to motor recovery of the upper extremity after stroke. Our results show improvements in upper extremity motor recovery in relation to distributed changes in MEG-based alpha band functional connectivity, both in the perilesional area and contralesional cortex. Motor recovery was found to be predicted by increased connectivity at baseline in the ipsilesional somatosensory area, supplementary motor area, and cerebellum, contrasted with reduced connectivity of contralesional motor regions, after controlling for age, stroke onset-time and lesion size. These findings support plasticity within a widely distributed neural network and define brain regions in which the extent of network participation predicts post-stroke recovery potential.</dc:description><dc:subject>5202 Biological Psychology (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>52 Psychology (for-2020)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Stroke (rcdc)</dc:subject><dc:subject>Rehabilitation (rcdc)</dc:subject><dc:subject>Physical Rehabilitation (rcdc)</dc:subject><dc:subject>Aging (rcdc)</dc:subject><dc:subject>Cerebrovascular (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Biomedical Imaging (rcdc)</dc:subject><dc:subject>1.1 Normal biological development and functioning (hrcs-rac)</dc:subject><dc:subject>Stroke (hrcs-hc)</dc:subject><dc:subject>Neurological (hrcs-hc)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Alpha Rhythm (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Hand (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Magnetoencephalography (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Motor Cortex (mesh)</dc:subject><dc:subject>Predictive Value of Tests (mesh)</dc:subject><dc:subject>Recovery of Function (mesh)</dc:subject><dc:subject>Resting Phase</dc:subject><dc:subject>Cell Cycle (mesh)</dc:subject><dc:subject>Spinal Cord (mesh)</dc:subject><dc:subject>Stroke (mesh)</dc:subject><dc:subject>Stroke</dc:subject><dc:subject>Magnetoencephalography</dc:subject><dc:subject>Plasticity</dc:subject><dc:subject>Motor recovery</dc:subject><dc:subject>Brain connectivity</dc:subject><dc:subject>Hand (mesh)</dc:subject><dc:subject>Motor Cortex (mesh)</dc:subject><dc:subject>Spinal Cord (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Alpha Rhythm (mesh)</dc:subject><dc:subject>Magnetoencephalography (mesh)</dc:subject><dc:subject>Predictive Value of Tests (mesh)</dc:subject><dc:subject>Recovery of Function (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Stroke (mesh)</dc:subject><dc:subject>Resting Phase</dc:subject><dc:subject>Cell Cycle (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Alpha Rhythm (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Hand (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Magnetoencephalography (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Motor Cortex (mesh)</dc:subject><dc:subject>Predictive Value of Tests (mesh)</dc:subject><dc:subject>Recovery of Function (mesh)</dc:subject><dc:subject>Resting Phase</dc:subject><dc:subject>Cell Cycle (mesh)</dc:subject><dc:subject>Spinal Cord (mesh)</dc:subject><dc:subject>Stroke (mesh)</dc:subject><dc:subject>1103 Clinical Sciences (for)</dc:subject><dc:subject>1109 Neurosciences (for)</dc:subject><dc:subject>1701 Psychology (for)</dc:subject><dc:subject>Neurology &amp; Neurosurgery (science-metrix)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:subject>5202 Biological psychology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3zf4w0r7</dc:identifier><dc:identifier>https://escholarship.org/content/qt3zf4w0r7/qt3zf4w0r7.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.expneurol.2012.06.020</dc:identifier><dc:type>article</dc:type><dc:source>Experimental Neurology, vol 237, iss 1</dc:source><dc:coverage>160 - 169</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6183t8xg</identifier><datestamp>2026-07-31T13:35:10Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6183t8xg</dc:identifier><dc:title>Correlation of Clinical Neuromusculoskeletal and Central Somatosensory Performance: Variability in Controls and Patients With Severe and Mild Focal Hand Dystonia</dc:title><dc:creator>Byl, Nancy N</dc:creator><dc:creator>Nagarajan, Srikantan S</dc:creator><dc:creator>Merzenich, Michael M</dc:creator><dc:creator>Roberts, Tim</dc:creator><dc:creator>McKenzie, Alison</dc:creator><dc:date>2002-01-01</dc:date><dc:description>Focal hand dystonia (FHd) is a recalcitrant, disabling movement disorder, characterized by involuntary co-contractions of agonists and antagonists, that can develop in patients who overuse or misuse their hands. The aim of this study was to document clinical neuromusculoskeletal performance and somatosensory responses (magnetoencephalography) in healthy controls and in FHd subjects with mild versus severe hand dystonia. The performance of healthy subjects (n = 17) was significantly better than that of FHd subjects (n =17) on all clinical parameters. Those with mild dystonia (n = 10) demonstrated better musculoskeletal skills, task-specific motor performance, and sensory discrimination, but the performance of sensory and fine motor tasks was slower than that of patients with severe dystonia. In terms of somatosensory evoked field responses (SEFs), FHd subjects demonstrated a significant difference in the location of the hand representation on the x and y axes, lower amplitude of SEFs integrated across latency, and a higher ratio of mean SEF amplitude to latency than the controls. Bilaterally, those with FHd (mild and severe) lacked progressive sequencing of the digits from inferior to superior. On the affected digits, subjects with severe dystonia had a significantly higher ratio of SEF amplitude to latency and a significantly smaller mean volume of the cortical hand representation than those with mild dystonia. Severity of dystonia positively correlated with the ratio of SEF mean amplitude to latency (0.9029 affected, 0.8477 unaffected; p &amp;lt; 0.01). The results of the present study strengthen the evidence that patients with FHd demonstrate signs of somatosensory degradation of the hand that correlates with clinical sensorimotor dysfunction, with characteristics of the de-differentiation varying by the severity of hand dystonia. If these findings represent aberrant learning, then effective rehabilitation must incorporate the principles of neuroplasticity. Training must be individualized to each patient to rebalance the sensorimotor feedback loop and to restore normal fine motor control.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3202 Clinical Sciences (for-2020)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Rehabilitation (rcdc)</dc:subject><dc:subject>Neurodegenerative (rcdc)</dc:subject><dc:subject>Rare Diseases (rcdc)</dc:subject><dc:subject>Physical Rehabilitation (rcdc)</dc:subject><dc:subject>Dystonia (rcdc)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Case-Control Studies (mesh)</dc:subject><dc:subject>Dystonia (mesh)</dc:subject><dc:subject>Evoked Potentials</dc:subject><dc:subject>Somatosensory (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Hand (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Magnetoencephalography (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Motor Skills (mesh)</dc:subject><dc:subject>Movement Disorders (mesh)</dc:subject><dc:subject>Research Design (mesh)</dc:subject><dc:subject>Somatosensory Cortex (mesh)</dc:subject><dc:subject>Hand (mesh)</dc:subject><dc:subject>Somatosensory Cortex (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Movement Disorders (mesh)</dc:subject><dc:subject>Dystonia (mesh)</dc:subject><dc:subject>Magnetoencephalography (mesh)</dc:subject><dc:subject>Case-Control Studies (mesh)</dc:subject><dc:subject>Motor Skills (mesh)</dc:subject><dc:subject>Evoked Potentials</dc:subject><dc:subject>Somatosensory (mesh)</dc:subject><dc:subject>Research Design (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Case-Control Studies (mesh)</dc:subject><dc:subject>Dystonia (mesh)</dc:subject><dc:subject>Evoked Potentials</dc:subject><dc:subject>Somatosensory (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Hand (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Magnetoencephalography (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Motor Skills (mesh)</dc:subject><dc:subject>Movement Disorders (mesh)</dc:subject><dc:subject>Research Design (mesh)</dc:subject><dc:subject>Somatosensory Cortex (mesh)</dc:subject><dc:subject>1109 Neurosciences (for)</dc:subject><dc:subject>1702 Cognitive Sciences (for)</dc:subject><dc:subject>Neurology &amp; Neurosurgery (science-metrix)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:subject>5202 Biological psychology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6183t8xg</dc:identifier><dc:identifier>https://escholarship.org/content/qt6183t8xg/qt6183t8xg.pdf</dc:identifier><dc:identifier>info:doi/10.1155/np.2002.177</dc:identifier><dc:type>article</dc:type><dc:source>Neural Plasticity, vol 9, iss 3</dc:source><dc:coverage>177 - 203</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6wx3r9mx</identifier><datestamp>2026-07-31T13:34:05Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6wx3r9mx</dc:identifier><dc:title>Word recognition selects for morphologically structured representations: The case of English -er</dc:title><dc:creator>Gauthier, Jon</dc:creator><dc:creator>Breiss, Canaan</dc:creator><dc:date>2026-01-01</dc:date><dc:description>What kinds of mental representations drive word recognition beyond surface phonetics?
We address this question by studying the representations of a speech foundation model at two stages: 1) after pretraining on raw speech audio, and 2) after fine-tuning for word recognition. We focus on English word-final -er, which has three surface-identical morphological sources—comparative (bigger), agentive (diver), and monomorphemic (bitter).

We find the model's representational space exhibits a linear geometric relationship between base and derived forms (big_bigger, dive_diver). This structure is specific to particular morphological sources, indicating that abstract morphology can be learned from unlabeled speech alone. However, the model overgeneralizes this pattern to false-friend pairs (bit_bitter).
Fine-tuning for word recognition significantly strengthens this structure for true morphological relations, while suppressing relations in monomorphemes and lexically irrelevant information (ex., speaker identity).

These results suggest abstract morpho-phonological structure is learnable from raw speech input, and plays a central role in word recognition.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Morphology</dc:subject><dc:subject>Phonology</dc:subject><dc:subject>Speech recognition</dc:subject><dc:subject>Neural Networks</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6wx3r9mx</dc:identifier><dc:identifier>https://escholarship.org/content/qt6wx3r9mx/qt6wx3r9mx.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3bq0c5fw</identifier><datestamp>2026-07-31T13:34:05Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3bq0c5fw</dc:identifier><dc:title>Geometric Artifacts or Semantic Bias? The Effect of Embedding Space Anisotropy on Implicit Bias Measurement</dc:title><dc:creator>Ono, Seitaro</dc:creator><dc:creator>Saiki, Jun</dc:creator><dc:date>2026-01-01</dc:date><dc:description>The Word Embedding Association Test (WEAT) was originally developed to assess implicit biases in language models and has since been widely employed as a tool for investigating implicit social biases in human cognition. However, recent research has revealed "anisotropy" in embedding spaces, a phenomenon whereby vectors concentrate in narrow regions, raising concerns that such geometric distortions may confound measurements of implicit social bias. This study examines whether WEAT scores reflect genuine semantic associations or geometric artifacts. We applied a whitening transformation to correct for spatial anisotropy and compared bias scores before and after correction across multiple WEAT categories. Results demonstrated that bias scores decreased substantially following geometric correction, with one racial bias category being eliminated. These findings suggest that standard bias measurements may conflict geometric distortions with semantic content, highlighting the necessity of spatial correction when using embedding-based methods to study human implicit cognition.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Computer Science</dc:subject><dc:subject>Machine learning</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>Neural Networks</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3bq0c5fw</dc:identifier><dc:identifier>https://escholarship.org/content/qt3bq0c5fw/qt3bq0c5fw.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt30p7420x</identifier><datestamp>2026-07-31T13:34:05Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt30p7420x</dc:identifier><dc:title>Cognitively Grounded Benchmark Generation for Robust Compositional Reasoning in Large Language Models</dc:title><dc:creator>Gomez-Ramirez, Danny A. J.</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Large language models (LLMs) can write fluent mathematics, yet their reasoning collapses when proofs require verifiable composition across many dependent steps. We propose a cognitively grounded protocol for generating robust benchmark datasets in advanced mathematics by operationalizing seven human-inspired dimensions of expert practice: concept formation, dualization, negative knowledge, transfer, invariance control, lemma synthesis, and counterexample search. Rather than toy tasks, we construct meta-prompts from research-grade problem fragments and evaluate complete solution traces, auditing faithfulness and invariant preservation step by step. Under matched conditions, four state-of-the-art systems show a global breaking degree of nore than 90% on stress tests, with failures concentrated in long-horizon planning, premise selection, lemma construction, and counterexample discovery. We conclude with dataset design principles that maximize diagnostic power and reproducibility, and with training levers—rationale SFT, process supervision with reward models, and stepwise preference learning—that directly target step-level correctness.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Creativity</dc:subject><dc:subject>Intelligent agents</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Reasoning</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/30p7420x</dc:identifier><dc:identifier>https://escholarship.org/content/qt30p7420x/qt30p7420x.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4dd7430n</identifier><datestamp>2026-07-31T13:34:02Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4dd7430n</dc:identifier><dc:title>Algorithmic Foundations of Counting Development</dc:title><dc:creator>Sommer, Sarah</dc:creator><dc:creator>Morales, Gabriella</dc:creator><dc:creator>Sanford, Emily M</dc:creator><dc:creator>Piantadosi, Steven</dc:creator><dc:date>2026-01-01</dc:date><dc:description>One surprising aspect of children's extended trajectory to mastery of the counting process is that, in other domains, children are remarkably adept at acquiring new lexical meanings. Mastery of counting, however, is a years-long process from first learning number words at age 2, to correctly counting around age 4. Previous research has posited that this extended trajectory is due to the difficulty of acquiring the concept of number, a years-long process involving conceptual restructuring. While children must acquire the concept of number, children also need to master the counting procedure. Specifically, counting requires tracking a set of objects, sequentially selecting and individuating each element, maintaining a representation of which items have already been counted, and synchronizing these operations with the verbal count list.The present studies are designed to isolate mastery of the counting procedure from acquisition of the number concept. By isolating non-numerical iterative processes that mirror the algorithmic structure of counting, we test whether procedural competence differs from concept mastery. We present results from a study demonstrating that children can successfully perform simple iterative list tasks before they show full mastery of counting. However, children are only able to perform more complex, theoretically analogous, iterative tasks once they have achieved counting mastery. Together, these findings support a theory in which the extended developmental trajectory of counting arises from the algorithmic demands of iterating through complex lists, as opposed to only conceptual restructuring.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Cognitive development</dc:subject><dc:subject>Development</dc:subject><dc:subject>Cross-cultural analysis</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4dd7430n</dc:identifier><dc:identifier>https://escholarship.org/content/qt4dd7430n/qt4dd7430n.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3h21938b</identifier><datestamp>2026-07-31T13:34:00Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3h21938b</dc:identifier><dc:title>Can delta-band power index decompositional lexical access in Brazilian Portuguese?</dc:title><dc:creator>França, Aniela Improta</dc:creator><dc:creator>Soto, Marije</dc:creator><dc:creator>Santos, Pedro</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Does phonological onset overlap in a prime-target pair (espada–esparadrapo / sword- adhesive tape) facilitate target recognition as strongly as morphological relatedness (globo–globaliza–åão / globe-globalization)? Brazilian Portuguese speakers perform an auditory–visual priming lexical-decision task while EEG is recorded and analyzed in the time–frequency domain. Prime–target pairs manipulate (i) relation type: onset phonological overlap vs shared morphological base, and (ii) target length (7, 9, 12 graphemes). Within each length, targets vary in morphological depth: simplex [root+category] (e.g., carangueijo / crab) versus derived forms with two to four additional layers (e.g., penaliza–åão / penalization). We test whether delta-band (–ï1–4 Hz) power indexes decompositional structure building: we predict greater delta power for morphologically complex targets, scaling with derivational depth, and weaker or absent scaling for purely phonological overlap. Data collection is ongoing; full analyses and results will be reported at the meeting.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Linguistics</dc:subject><dc:subject>Morphology</dc:subject><dc:subject>Phonology</dc:subject><dc:subject>Electroencephalography (EEG)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3h21938b</dc:identifier><dc:identifier>https://escholarship.org/content/qt3h21938b/qt3h21938b.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5gw7m077</identifier><datestamp>2026-07-31T13:33:56Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5gw7m077</dc:identifier><dc:title>Does attention to and interpretation of gesture predict speech-gesture integration?</dc:title><dc:creator>Gallo, Lisa</dc:creator><dc:creator>Wakefield, Elizabeth M</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Co-speech gesture supports communication, but not everyone uses information from gesture to clarify meaning of spoken messages. Here, we ask whether variability in speech-gesture integration can be explained by visual attention to gesture and propensity to see movement as meaningful gesture. Adults (N=56) viewed videos of a speaker producing statements that were ambiguous or non-ambiguous with respect to a subsequent prompt, with or without meaningful gestures while visual attention was monitored. Presence of gesture significantly increased proportion of correct responses to prompts. However, accuracy was still significantly higher for prompts after non-ambiguous statements, suggesting not all participants used gesture to answer prompts. Explaining some of this variability, when speech was ambiguous, proportion of time spent fixating on gesture-related regions predicted accuracy, a proxy for successful speech-gesture integration. In contrast, although participants who interpreted movement as meaningful gesture were more likely to fixate to gesture, this measure did not predict integration.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Language understanding</dc:subject><dc:subject>Eye tracking</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5gw7m077</dc:identifier><dc:identifier>https://escholarship.org/content/qt5gw7m077/qt5gw7m077.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt21j131q4</identifier><datestamp>2026-07-31T13:33:53Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt21j131q4</dc:identifier><dc:title>Disentangling Social and Material Preferences from Emotional Expressions: A Bayesian Approach to Reverse Appraisal</dc:title><dc:creator>Furuya, Kensei</dc:creator><dc:creator>Sato, Motoaki</dc:creator><dc:creator>de Melo, Celso M. M</dc:creator><dc:creator>Gratch, Jonathan</dc:creator><dc:creator>Terada, Kazunori</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Emotional expressions signal how others evaluate outcomes, but a single expression can reflect multiple underlying preferences. We examine whether and under what constraints observers infer material preferences (what outcomes someone values) and social preferences (how they weigh self vs. other) from affective feedback. In a multi-issue ultimatum game, participants (N=323) observed agents' graded emotional reactions to resource allocations and inferred their preferences. Results revealed a functional asymmetry between the two domains. Material preference accuracy was constrained by signal identifiability, whereas social preference estimates showed weak correspondence with Bayesian model predictions and clustered near the center. This suggests that observers do not infer both preferences symmetrically; instead, social preference estimation appears more strongly shaped by robust priors and/or measurement constraints. These findings highlight structural limits on social inference and suggest that human observers may rely on strong prior assumptions when interpreting underdetermined signals.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Emotion</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/21j131q4</dc:identifier><dc:identifier>https://escholarship.org/content/qt21j131q4/qt21j131q4.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5wb96717</identifier><datestamp>2026-07-31T13:33:35Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5wb96717</dc:identifier><dc:title>What do moral rules mean?</dc:title><dc:creator>Kwon, Joseph</dc:creator><dc:creator>Wong, Lionel</dc:creator><dc:creator>Tenenbaum, Joshua B.</dc:creator><dc:creator>Levine, Sydney</dc:creator><dc:date>2026-01-01</dc:date><dc:description>People often communicate social and moral expectations to one another in terms of rules.  While these rules often seem simple (e.g. "No walking on the grass'') people understand that much more is being communicated than it at first appears.  In this paper we present a novel theory of how people understand moral rules and instantiate that theory in a computational cognitive model.  We argue that moral rules are a special kind of speech act, directed at a group and expressing a summary of the agreement that rational actors would arrive at when navigating an interdependent choice problem.  Rules, on this conception, are therefore closely tied to their reasons, which reflect the interests of the parties to the agreement.  This structure is very powerful: it allows people to interpret and apply rules flexibly in novel situations and edge cases.  Specifically, we argue that when judging whether an action violates a rule, people reflect on the reason for the rule and harness mental models of agreement (and their heuristic approximations) to determine whether the action upholds or undermines the reason.  Put simply, people ask whether the purpose of the rule would still be upheld if the rule permitted everyone to act in this way.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5wb96717</dc:identifier><dc:identifier>https://escholarship.org/content/qt5wb96717/qt5wb96717.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0nm427g5</identifier><datestamp>2026-07-31T13:33:35Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0nm427g5</dc:identifier><dc:title>Egocentric Bias in Vision-Language Models</dc:title><dc:creator>Wang, Maijunxian</dc:creator><dc:creator>Li, Yijiang</dc:creator><dc:creator>Wang, Bingyang</dc:creator><dc:creator>Zhao, Tianwei</dc:creator><dc:creator>Ji, Ran</dc:creator><dc:creator>Gao, Qingying</dc:creator><dc:creator>Liu, Emmy</dc:creator><dc:creator>Deng, Hokin</dc:creator><dc:creator>Luo, Dezhi</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Visual perspective taking--inferring how the world appears from another's viewpoint--is foundational to social cognition. We introduce FlipSet, a diagnostic benchmark for Level-2 visual perspective taking (L2 VPT) in vision-language models. The task requires simulating 180-degree rotations of 2D character strings from another agent's perspective, isolating spatial transformation from 3D scene complexity. Evaluating 103 VLMs reveals systematic egocentric bias: the vast majority perform below chance, with roughly three-quarters of errors reproducing the camera viewpoint. Control experiments expose a compositional deficit--models achieve high theory-of-mind accuracy and above-chance mental rotation in isolation, yet fail catastrophically when integration is required. This dissociation indicates that current VLMs lack the mechanisms needed to bind social awareness to spatial operations, suggesting fundamental limitations in model-based spatial reasoning. FlipSet provides a cognitively grounded testbed for diagnosing perspective-taking capabilities in multimodal systems.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Spatial cognition</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0nm427g5</dc:identifier><dc:identifier>https://escholarship.org/content/qt0nm427g5/qt0nm427g5.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6hj5p14q</identifier><datestamp>2026-07-31T13:33:33Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6hj5p14q</dc:identifier><dc:title>Clustering during Scene Description from Memory</dc:title><dc:creator>Tachihara, Karina</dc:creator><dc:creator>Horton, Justin P</dc:creator><dc:creator>Zhou, Adrian</dc:creator><dc:creator>Ferreira, Fernanda</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Language production requires speakers to resolve the problem of linearization, where they must choose what to talk about and in what order. Previous work has shown that scene descriptions while viewing the scene show evidence of clustering. Objects which are physically close together are mentioned close together and objects which are semantically similar are mentioned close together. Additionally, the transition time from one object to the next is longer when jumping across pre-defined physical and semantic clusters compared to when staying in the same cluster. We compared previous results with a new experiment where participants produced scene descriptions from memory. We find that descriptions from memory show evidence of clustering using physical and semantic relationships. Results also show that they rely more heavily on semantic relationships than descriptions generated while viewing the image. The work highlights the importance of task demands on linearization strategies in multiutterance production.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Language Production</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Semantic memory</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6hj5p14q</dc:identifier><dc:identifier>https://escholarship.org/content/qt6hj5p14q/qt6hj5p14q.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2pq6f1kw</identifier><datestamp>2026-07-31T13:33:30Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2pq6f1kw</dc:identifier><dc:title>Human-AI Synergy Supports Collective Creative Search</dc:title><dc:creator>Li, Chenyi</dc:creator><dc:creator>Marjieh, Raja</dc:creator><dc:creator>Hu, Haoyu</dc:creator><dc:creator>Steyvers, Mark</dc:creator><dc:creator>Collins, Katherine M</dc:creator><dc:creator>Sucholutsky, Ilia</dc:creator><dc:creator>Jacoby, Nori</dc:creator><dc:date>2026-01-01</dc:date><dc:description>The creation of new ideas and content increasingly relies on collectives: not just of multiple humans, but humans and AI agents together.  We study collective generation of new ideas using a controlled word-guessing task that balances open-endedness with an objective measure of task performance. Participants attempt to infer a hidden target word, scored based on the semantic similarity of their guesses to the target, while also observing the best guess from previous players. We found that hybrid human–AI groups showed higher performance than both human-only and AI-only groups. Within hybrid groups, both humans and AI agents systematically adjust their strategies relative to single-agent conditions, suggesting higher-order interaction effects, whereby agents adapt to each other's presence. Although some performance benefits can be reproduced through collaboration between heterogeneous AI systems, human–AI collaboration remains superior, underscoring complementary roles in collective creativity. Together, these findings demonstrate the advantages of human–AI synergy in collective intelligence tasks.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Creativity</dc:subject><dc:subject>Group Behaviour</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2pq6f1kw</dc:identifier><dc:identifier>https://escholarship.org/content/qt2pq6f1kw/qt2pq6f1kw.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9f68x8vs</identifier><datestamp>2026-07-31T13:33:27Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9f68x8vs</dc:identifier><dc:title>Negative strengthening and speaker adaptation with vague quantifiers</dc:title><dc:creator>Pecsok, Emily</dc:creator><dc:creator>Aparicio, Helena</dc:creator><dc:date>2026-01-01</dc:date><dc:description>The interpretation of negated vague predicates, whose meanings depend on underspecified thresholds, is variable. Some positive relative adjectives exhibit asymmetric negative strengthening (not large implies small), whereas negative adjectives generally do not (not small does not imply large). However, the behavior of negated vague quantifiers (e.g., many, few) remains understudied. Previous work also shows that listeners adapt to speakers' thresholds for vague predicates through non-negated assertions, but it is unknown whether such adaptation extends to negated utterances. We investigate whether listeners adapt to speaker thresholds conveyed via negated assertions and whether negated vague quantifiers are interpreted as symmetrically weaker than their antonyms. We find that listeners track speaker thresholds despite negation and interpret negated quantifiers as symmetrically weaker than their antonyms, challenging asymmetric accounts of negative strengthening.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Discourse</dc:subject><dc:subject>Pragmatics</dc:subject><dc:subject>Semantics of language</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9f68x8vs</dc:identifier><dc:identifier>https://escholarship.org/content/qt9f68x8vs/qt9f68x8vs.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt17w2d48x</identifier><datestamp>2026-07-31T13:33:18Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt17w2d48x</dc:identifier><dc:title>Transformers perform adaptive partial pooling</dc:title><dc:creator>Kapatsinski, Vsevolod</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Any language model must decide what to say in novel contexts based on information from similar contexts. But what about contexts that are not novel but merely infrequent? In hierarchical regression, the model's predictions for behavior in a context are affected by observations from similar contexts to the extent that 1) the current context is infrequent and 2) different contexts behave similarly. This is called adaptive partial pooling. This paper shows that next-word predictions of a transformer (GPT2) are affected by observations from outside the current context, but this pooling reduces with more training. Pooling is affected by context frequency, context number (type frequency) and context variability in a qualitatively similar way to hierarchical regression. However, there is a "sweet spot" in training at which the transformer best matches the behavior of hierarchical regression. This is the point at which the effect of context frequency on pooling is at maximum.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Linguistics</dc:subject><dc:subject>Language acquisition</dc:subject><dc:subject>Language Production</dc:subject><dc:subject>Learning</dc:subject><dc:subject>Machine learning</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>Predictive Processing</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Neural Networks</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/17w2d48x</dc:identifier><dc:identifier>https://escholarship.org/content/qt17w2d48x/qt17w2d48x.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6bc341pq</identifier><datestamp>2026-07-31T13:33:17Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6bc341pq</dc:identifier><dc:title>It doesn't matter how you ask: Many 4-year-olds don't quantify possibilities</dc:title><dc:creator>Leahy, Brian</dc:creator><dc:creator>Close, Scarlett A. D.</dc:creator><dc:creator>Carey, Susan</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Many 4-year-olds give adultlike responses to questions about what "can" happen and the same responses to questions about what "has to" happen. Why? We argue that children repeatedly apply minimal representations of possibility to answer "can" and "have to" questions. This algorithm (a) only requires evaluating the single possibility each question asks about; (b) generates correct responses to "can" questions and (c) generates the same responses to "have to" questions. We show that half of 4-year-olds answer "have to" questions as adults do, correctly say what all the possibilities are and what the only possibilities are, and show sensitivity to multiple possibilities in nonverbal behavior. The other half make mistakes on "have to" questions, fail to quantify possibilities using "all" and "only", and deploy minimal representations of possibility on the nonverbal task. They make their decisions by evaluating a single possibility.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Cognitive development</dc:subject><dc:subject>Language acquisition</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Developmental analysis</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6bc341pq</dc:identifier><dc:identifier>https://escholarship.org/content/qt6bc341pq/qt6bc341pq.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9mh5s46x</identifier><datestamp>2026-07-31T13:33:16Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9mh5s46x</dc:identifier><dc:title>Recovering Meaning from "Meaningless'' Texts: Semantic Ambiguity Reduction as Recovery of Distributional Structure</dc:title><dc:creator>Breeden, Kira</dc:creator><dc:creator>Lupyan, Gary</dc:creator><dc:date>2026-01-01</dc:date><dc:description>What does "blalfed'' mean in "The fuite twouch blalfed on the splelve snaitch?" Although it may seem impossible to know, people can infer word meanings from such "nonsensical'' contexts. The correct word--"sat''--was guessed correctly by 25% of our participants. We investigate people's ability to infer word meanings in such Jabberwocky texts. Participants guessed the meaning of a target word and selectively unmasked Jabberwocky words, allowing us to study the links between ambiguity, sampling choices, and accuracy of identifying the meaning of a target "nonsense'' word. Ambiguity predicted how participants sampled the text and how successfully they recover meaning, with bidirectional entropy being more predictive than entropy that only considers information preceding the target word. Accuracy increased with early information gain. These results suggest that people combine structural expectations with strategic sampling, and that semantic information is often distributed across a passage rather than localized to a single cue.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Concepts and categories</dc:subject><dc:subject>Language understanding</dc:subject><dc:subject>Semantics of language</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9mh5s46x</dc:identifier><dc:identifier>https://escholarship.org/content/qt9mh5s46x/qt9mh5s46x.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0cv9c8m6</identifier><datestamp>2026-07-31T13:33:15Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0cv9c8m6</dc:identifier><dc:title>Aging, Misinformation, and Eyewitness Memory: Accuracy and Confidence for Central and Peripheral Items</dc:title><dc:creator>Kanero, Junko</dc:creator><dc:creator>İpekçi, İlkan Can</dc:creator><dc:creator>Bozkúr, Zeynep Tuna</dc:creator><dc:creator>Özden, Cansu</dc:creator><dc:creator>Vit, Simge Merve</dc:creator><dc:creator>Aydin, Cagla</dc:creator><dc:creator>Asano, Michiko</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Eyewitness memory is susceptible to distortion, especially among aging populations. Although we know that memory deteriorates as an individual becomes older, research on the interaction between aging, misinformation, and eyewitness memory remains limited. In this study, 42 young adults (age = 18-30) and 50 older adults (age = 65-78) first watched a short video clip depicting various central and peripheral items and read a narrative text that described the video but included false information about the items. Participants were then tested for their memory accuracy about the items and rated their confidence in memory. While memory appeared to be less accurate in older adults than in younger adults, misinformation and item location (central vs. peripheral) affected memory accuracy similarly for young and older adults. In contrast, confidence judgments differed by age, whereby older adults reported higher overall confidence, with their confidence was less sensitive to the central vs. peripheral distinction.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Memory</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0cv9c8m6</dc:identifier><dc:identifier>https://escholarship.org/content/qt0cv9c8m6/qt0cv9c8m6.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7g588632</identifier><datestamp>2026-07-31T13:33:14Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7g588632</dc:identifier><dc:title>Is a Cactus More Animate than a Wildfire?  Insights from the Implicit Association Task</dc:title><dc:creator>Rissman, Lilia</dc:creator><dc:creator>Smith, Hannah M Miriam</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Animacy is widely thought to be conceptualized as a gradient, with humans on one end and artifacts (e.g. towel, fork) on the other. Cognitive scientists lack a clear understanding of the linguistic/conceptual organization of entities in the middle of the continuum (e.g., trees, fire, a river).  Progress in this domain is constrained by over-reliance on aliveness judgments (e.g., "is a river alive?") as a way of operationalizing animacy. We present a novel method for studying animacy, an adaptation of the Implicit Association Task (IAT). While plants are judged to be alive more often than natural abiotic entities such as fire, our IAT suggests that U.S. English speakers conceptualize plants and natural abiotic entities as having similar levels of animacy. These findings highlight the need for a more comprehensive theory of how concepts of animacy are reflected in different ways across linguistic contexts.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Concepts and categories</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Semantics of language</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7g588632</dc:identifier><dc:identifier>https://escholarship.org/content/qt7g588632/qt7g588632.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9c63r7tv</identifier><datestamp>2026-07-31T13:31:11Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9c63r7tv</dc:identifier><dc:title>Function biomedical informatics research network recommendations for prospective multicenter functional MRI studies</dc:title><dc:creator>Glover, Gary H</dc:creator><dc:creator>Mueller, Bryon A</dc:creator><dc:creator>Turner, Jessica A</dc:creator><dc:creator>van Erp, Theo GM</dc:creator><dc:creator>Liu, Thomas T</dc:creator><dc:creator>Greve, Douglas N</dc:creator><dc:creator>Voyvodic, James T</dc:creator><dc:creator>Rasmussen, Jerod</dc:creator><dc:creator>Brown, Gregory G</dc:creator><dc:creator>Keator, David B</dc:creator><dc:creator>Calhoun, Vince D</dc:creator><dc:creator>Lee, Hyo Jong</dc:creator><dc:creator>Ford, Judith M</dc:creator><dc:creator>Mathalon, Daniel H</dc:creator><dc:creator>Diaz, Michele</dc:creator><dc:creator>O’Leary, Daniel S</dc:creator><dc:creator>Gadde, Syam</dc:creator><dc:creator>Preda, Adrian</dc:creator><dc:creator>Lim, Kelvin O</dc:creator><dc:creator>Wible, Cynthia G</dc:creator><dc:creator>Stern, Hal S</dc:creator><dc:creator>Belger, Aysenil</dc:creator><dc:creator>McCarthy, Gregory</dc:creator><dc:creator>Ozyurt, Burak</dc:creator><dc:creator>Potkin, Steven G</dc:creator><dc:creator>FBIRN</dc:creator><dc:date>2012-07-01</dc:date><dc:description>This report provides practical recommendations for the design and execution of multicenter functional MRI (MC-fMRI) studies based on the collective experience of the Function Biomedical Informatics Research Network (FBIRN). The study was inspired by many requests from the fMRI community to FBIRN group members for advice on how to conduct MC-fMRI studies. The introduction briefly discusses the advantages and complexities of MC-fMRI studies. Prerequisites for MC-fMRI studies are addressed before delving into the practical aspects of carefully and efficiently setting up a MC-fMRI study. Practical multisite aspects include: (i) establishing and verifying scan parameters including scanner types and magnetic fields, (ii) establishing and monitoring of a scanner quality program, (iii) developing task paradigms and scan session documentation, (iv) establishing clinical and scanner training to ensure consistency over time, (v) developing means for uploading, storing, and monitoring of imaging and other data, (vi) the use of a traveling fMRI expert, and (vii) collectively analyzing imaging data and disseminating results. We conclude that when MC-fMRI studies are organized well with careful attention to unification of hardware, software and procedural aspects, the process can be a highly effective means for accessing a desired participant demographics while accelerating scientific discovery.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3202 Clinical Sciences (for-2020)</dc:subject><dc:subject>Biomedical Imaging (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Clinical Trials and Supportive Activities (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Bioengineering (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Biomedical Research (mesh)</dc:subject><dc:subject>Community Networks (mesh)</dc:subject><dc:subject>Databases</dc:subject><dc:subject>Factual (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Information Storage and Retrieval (mesh)</dc:subject><dc:subject>Magnetic Resonance Imaging (mesh)</dc:subject><dc:subject>Medical Informatics (mesh)</dc:subject><dc:subject>Prospective Studies (mesh)</dc:subject><dc:subject>Radiology Information Systems (mesh)</dc:subject><dc:subject>United States (mesh)</dc:subject><dc:subject>functional magnetic resonance imaging</dc:subject><dc:subject>fMRI</dc:subject><dc:subject>multicenter</dc:subject><dc:subject>multisite</dc:subject><dc:subject>FIRST Biomedical Informatics Research Network</dc:subject><dc:subject>FBIRN</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Magnetic Resonance Imaging (mesh)</dc:subject><dc:subject>Prospective Studies (mesh)</dc:subject><dc:subject>Biomedical Research (mesh)</dc:subject><dc:subject>Community Networks (mesh)</dc:subject><dc:subject>Medical Informatics (mesh)</dc:subject><dc:subject>Information Storage and Retrieval (mesh)</dc:subject><dc:subject>Databases</dc:subject><dc:subject>Factual (mesh)</dc:subject><dc:subject>Radiology Information Systems (mesh)</dc:subject><dc:subject>United States (mesh)</dc:subject><dc:subject>Biomedical Research (mesh)</dc:subject><dc:subject>Community Networks (mesh)</dc:subject><dc:subject>Databases</dc:subject><dc:subject>Factual (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Information Storage and Retrieval (mesh)</dc:subject><dc:subject>Magnetic Resonance Imaging (mesh)</dc:subject><dc:subject>Medical Informatics (mesh)</dc:subject><dc:subject>Prospective Studies (mesh)</dc:subject><dc:subject>Radiology Information Systems (mesh)</dc:subject><dc:subject>United States (mesh)</dc:subject><dc:subject>02 Physical Sciences (for)</dc:subject><dc:subject>09 Engineering (for)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:subject>Nuclear Medicine &amp; Medical Imaging (science-metrix)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9c63r7tv</dc:identifier><dc:identifier>https://escholarship.org/content/qt9c63r7tv/qt9c63r7tv.pdf</dc:identifier><dc:identifier>info:doi/10.1002/jmri.23572</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Magnetic Resonance Imaging, vol 36, iss 1</dc:source><dc:coverage>39 - 54</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt28x4g1j1</identifier><datestamp>2026-07-31T13:27:28Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt28x4g1j1</dc:identifier><dc:title>Evaluating the SF-36 Health Survey (Version 2) in Older Vietnamese Americans</dc:title><dc:creator>Ngo-Metzger, Quyen</dc:creator><dc:creator>Sorkin, Dara H</dc:creator><dc:creator>Mangione, Carol M</dc:creator><dc:creator>Gandek, Barbara</dc:creator><dc:creator>Hays, Ron D</dc:creator><dc:date>2008-06-01</dc:date><dc:description>OBJECTIVE: The SF-36((R)) Health Survey (Version 2; SF-36) was evaluated among older Vietnamese Americans to determine whether underlying dimensions of physical and mental health were similar to those of other groups in the United States.
METHOD: Field testing of participants from senior centers.
RESULTS: The study provided support for the reliability and validity of the SF-36. Structural equation modeling provided confirmation of physical and mental health factors. However, the factor loadings for the SF-36 scales were more consistent with previous results from Asian countries than the typical pattern observed in the United States.
DISCUSSION: As the older populations in the United States become more diverse, it is important to have standardized health-related quality of life measures. However, the conceptualization of physical and mental health and associations among different scales may be different for Asian immigrants than for other groups. Thus, the interpretation of the SF-36 scores needs to account for cultural differences.</dc:description><dc:subject>4206 Public Health (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Aging (rcdc)</dc:subject><dc:subject>7.1 Individual care needs (hrcs-rac)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Activities of Daily Living (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Aged</dc:subject><dc:subject>80 and over (mesh)</dc:subject><dc:subject>Asian (mesh)</dc:subject><dc:subject>Asian People (mesh)</dc:subject><dc:subject>California (mesh)</dc:subject><dc:subject>Culture (mesh)</dc:subject><dc:subject>Depression (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Health Status (mesh)</dc:subject><dc:subject>Health Status Indicators (mesh)</dc:subject><dc:subject>Health Surveys (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Mental Health (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Quality of Life (mesh)</dc:subject><dc:subject>Reproducibility of Results (mesh)</dc:subject><dc:subject>Self-Assessment (mesh)</dc:subject><dc:subject>Vietnam (mesh)</dc:subject><dc:subject>aging</dc:subject><dc:subject>Vietnamese</dc:subject><dc:subject>health-related quality of life</dc:subject><dc:subject>functional status</dc:subject><dc:subject>SF-36 Health Survey</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Activities of Daily Living (mesh)</dc:subject><dc:subject>Health Surveys (mesh)</dc:subject><dc:subject>Health Status Indicators (mesh)</dc:subject><dc:subject>Reproducibility of Results (mesh)</dc:subject><dc:subject>Depression (mesh)</dc:subject><dc:subject>Mental Health (mesh)</dc:subject><dc:subject>Health Status (mesh)</dc:subject><dc:subject>Culture (mesh)</dc:subject><dc:subject>Quality of Life (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Aged</dc:subject><dc:subject>80 and over (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>California (mesh)</dc:subject><dc:subject>Vietnam (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Self-Assessment (mesh)</dc:subject><dc:subject>Asian People (mesh)</dc:subject><dc:subject>Asian (mesh)</dc:subject><dc:subject>Activities of Daily Living (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Aged</dc:subject><dc:subject>80 and over (mesh)</dc:subject><dc:subject>Asian (mesh)</dc:subject><dc:subject>Asian People (mesh)</dc:subject><dc:subject>California (mesh)</dc:subject><dc:subject>Culture (mesh)</dc:subject><dc:subject>Depression (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Health Status (mesh)</dc:subject><dc:subject>Health Status Indicators (mesh)</dc:subject><dc:subject>Health Surveys (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Mental Health (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Quality of Life (mesh)</dc:subject><dc:subject>Reproducibility of Results (mesh)</dc:subject><dc:subject>Self-Assessment (mesh)</dc:subject><dc:subject>Vietnam (mesh)</dc:subject><dc:subject>1117 Public Health and Health Services (for)</dc:subject><dc:subject>Gerontology (science-metrix)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:subject>4206 Public health (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/28x4g1j1</dc:identifier><dc:identifier>https://escholarship.org/content/qt28x4g1j1/qt28x4g1j1.pdf</dc:identifier><dc:identifier>info:doi/10.1177/0898264308315855</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Aging and Health, vol 20, iss 4</dc:source><dc:coverage>420 - 436</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9ff0j7q9</identifier><datestamp>2026-07-31T13:27:06Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9ff0j7q9</dc:identifier><dc:title>Assessing Incremental Syntactic Processing in Spanish with Eye-Tracking Glasses</dc:title><dc:creator>Taboh, Analí R.</dc:creator><dc:creator>D'Augè, Camilla</dc:creator><dc:creator>Shalom, Diego E</dc:creator><dc:creator>Sevilla, Yamila</dc:creator><dc:creator>Gattei, Carolina A</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Previous research shows children have difficulties comprehending non-canonical sentences. However, studies of incremental processing in Spanish-speaking children are scarce, and online processing of non-canonical sentences remains unexplored. Wearable eye-tracking technology provides an accessible and flexible alternative for studying language processing in children. Building on prior validation against a stationary system, this study examines whether Pupil Labs' Neon glasses capture incremental syntactic processing in Spanish-speaking adults, in preparation for future research with children. Participants completed an auditory sentence-picture matching task with the visual-world paradigm, with structures varying in canonicity and complexity. Gaze-to-target proportions were analyzed to determine when they diverged from chance. For structures with agents in canonical sentence-initial position, gaze diverged early, indicating rapid role assignment. In contrast, non-canonical and structurally complex sentences showed later divergence following additional cues. Results suggest inefficient processing of less salient morphology, promoting delayed role assignment. The findings support wearable eye-tracking for incremental syntactic processing.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Syntax</dc:subject><dc:subject>Eye tracking</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9ff0j7q9</dc:identifier><dc:identifier>https://escholarship.org/content/qt9ff0j7q9/qt9ff0j7q9.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1kh0v1b1</identifier><datestamp>2026-07-31T13:27:06Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1kh0v1b1</dc:identifier><dc:title>Layered Time: Circadian States Selectively Modulate Congruent vs. Incongruent Time-Space Mappings</dc:title><dc:creator>Tourn Bacci, Luca</dc:creator><dc:creator>Aguirre, Roberto</dc:creator><dc:creator>Grecco, Jimena</dc:creator><dc:creator>Santiago, Julio</dc:creator><dc:creator>Estevan, Ignacio</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Although the literature has differentiated various levels of time experience and their effects on human cognition, an individual's cognition occurs simultaneously across these levels. So, how are cognitive processes related to or determined by the interactions between these levels of time experience, if any? The aim of this study was to describe the relationships between chronotypes and the conceptualization of time. The study predicted that the latencies and accuracy of congruent (left-past-right-future) mappings would be similar in optimal and non-optimal schedules. It also predicted that in the asynchronous schedule, latencies would be longer and the accuracy of incongruent (left-future-right-past) mappings would be lower compared to their values in the synchronous schedule. The results partially supported the predictions: incongruent mappings showed longer latencies during non-optimal schedules, but congruent mappings did not perform similarly across schedules. The three-way interaction demonstrates that circadian states modulate time-space mappings, supporting multilevel temporal interactions in cognition.</dc:description><dc:subject>Biology</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Cognition of Time</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Psychophysics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1kh0v1b1</dc:identifier><dc:identifier>https://escholarship.org/content/qt1kh0v1b1/qt1kh0v1b1.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7781v5n6</identifier><datestamp>2026-07-31T13:27:05Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7781v5n6</dc:identifier><dc:title>Atypical visual preference in children with ASD from Low-Income backgrounds: a case-control study</dc:title><dc:creator>da Silva, Victor Hugo</dc:creator><dc:creator>Biazoli Jr., Claudinei Eduardo</dc:creator><dc:creator>Lukasova, Katerina</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Early identification of Autism Spectrum Disorder (ASD), a heterogeneous neurodevelopmental condition, remains a challenge in developing countries due to structural barriers. This case-control study investigated visual attention preference between social and geometric stimuli using eye-tracking in children with ASD (n=29, 11 girls, Mage=50.3 months) and typical development (TD, n=29, 11 girls, Mage=51.9 months) from low-income families. A one-way ANOVA revealed a significant effect of diagnostic group on the proportion of fixation duration on non-social compared to social stimuli, F(1, 56) = 31.39, p &amp;lt; .001, __2 = .35. This visual preference metric correlated strongly with clinical severity (CARS: r = .53, p &amp;lt; .001) and social responsiveness (SRS-2: r = .55, p &amp;lt; .001). A logistic regression model achieved high discriminative power (AUC = .879). These findings suggest that eye-tracking metrics may serve as a potential adjunctive tool to support clinical screening and objective assessment in underserved populations.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Development</dc:subject><dc:subject>cognitive neuropsychology</dc:subject><dc:subject>Eye tracking</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7781v5n6</dc:identifier><dc:identifier>https://escholarship.org/content/qt7781v5n6/qt7781v5n6.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7h69n4dq</identifier><datestamp>2026-07-31T13:27:03Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7h69n4dq</dc:identifier><dc:title>Uncovering predictors of dream report similarity: An NLP exploration with transformer embeddings</dc:title><dc:creator>Vignola, Mateus Batistelli</dc:creator><dc:creator>Cravo, Andre M.</dc:creator><dc:creator>Tiba, Paula A</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Dreams are valuable in the study of cognition as unique internally generated experiences, yet a large-scale analysis via self-reports remains challenging. This study explores Large Language Models (LLMs) for the semantic analysis of dream reports. Using a Dream Bank dataset, we analyzed text similarity with Sentence-T5 Large and emotional content with RoBERTa, employing Representational Similarity Analysis (RSA) and Sentiment Analysis. Results show that dream similarity is best predicted by their characters' similarity, followed by the dreams' settings and evoked emotions, confirming the consistency of the model's numerical representations. While Sentiment Analysis captured general emotions, discrepancies occurred when external context influenced the dreamer's feelings. We conclude that LLMs are powerful tools for large-scale dream research; however, their limitations require expert oversight to validate outputs. This work highlights the potential of LLMs in cognitive science while emphasizing the necessity of a nuanced, human-in-the-loop approach to automated dream analysis.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Neuroscience</dc:subject><dc:subject>Consciousness</dc:subject><dc:subject>Discourse</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7h69n4dq</dc:identifier><dc:identifier>https://escholarship.org/content/qt7h69n4dq/qt7h69n4dq.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8rn592rh</identifier><datestamp>2026-07-31T13:27:00Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8rn592rh</dc:identifier><dc:title>The iconicity-arbitrariness asymmetry: A gradient of perceived  iconicity in Uruguayan Sign Language for nonsigners</dc:title><dc:creator>Aguirre, Roberto</dc:creator><dc:creator>Dutra, Martín</dc:creator><dc:creator>Grecco, Jimena</dc:creator><dc:date>2026-01-01</dc:date><dc:description>The present study extends the interest in iconicity, a fundamental property of language, to the understudied Uruguayan Sign Language (LSU). We investigated iconicity judgments of LSU lexical items for 127 Uruguayan Spanish naïve nonsigners, testing predictions derived from a theoretical continuum of iconicity, classified with the assistance of IA tools – an approach supervised by experts. The large size of the sample compensated for the absence of a power calculation, as it yields robust estimates and allows for subgroup explorations if needed. Results revealed a graded pattern of transparency: feature-based and pantomimic iconicity elicited the highest rates of iconic judgments, followed by emblematic iconicity, with diagrammatic mappings showing markedly low transparency. These findings confirm that iconicity is a potent but selective predictor of perceived iconicity across language modalities, with its effectiveness contingent on the specific semiotic strategy and the perceptual accessibility of the form-meaning link to the uninitiated observer.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Embodied Cognition</dc:subject><dc:subject>Language understanding</dc:subject><dc:subject>Semantics of language</dc:subject><dc:subject>Psychophysics</dc:subject><dc:subject>Survey</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8rn592rh</dc:identifier><dc:identifier>https://escholarship.org/content/qt8rn592rh/qt8rn592rh.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2cq7g1n0</identifier><datestamp>2026-07-31T13:26:51Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2cq7g1n0</dc:identifier><dc:title>Development of Supplementary Gestures with Speech in Mandarin-Speaking Children</dc:title><dc:creator>Chui, Kawai</dc:creator><dc:creator>Ng, Chan-Tat</dc:creator><dc:creator>Tsao, Feng-Ming</dc:creator><dc:creator>Liu, Huei-Mei</dc:creator><dc:date>2026-01-01</dc:date><dc:description>This study examined the developmental trajectory of supplementary gestures, which conveyed information distinct from speech, and their semantic relationships with accompanying speech in 16 Mandarin-speaking children. Children were observed during mother–child interactions between 12 and 21 months of age at three-month intervals, with minimal age variation within each time point. Findings showed a marked increase in supplementary gestures at 18 months, alongside the predominance of declarative pointing within gesture-speech acts and one-word utterances. This specific cross-modal pattern remained stable through 21 months. Most cross modal combinations conveyed entity ideas, with predicative ideas occurring infrequently and propositional ideas even less often. The common 'entity-related', 'what is done to what', and 'who initiates what and who/what is affected' knowledge was linguistically expressed only about three to six months later than in gesture-speech acts. Overall, the findings support the enduring role of supplementary gestures in enriching children's communicative expressiveness within a single act.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Development</dc:subject><dc:subject>Semantics of language</dc:subject><dc:subject>Gesture analysis</dc:subject><dc:subject>Knowledge representation</dc:subject><dc:subject>Quantitative Behavior</dc:subject><dc:subject>Statistics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2cq7g1n0</dc:identifier><dc:identifier>https://escholarship.org/content/qt2cq7g1n0/qt2cq7g1n0.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt71k6s86w</identifier><datestamp>2026-07-31T13:26:50Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt71k6s86w</dc:identifier><dc:title>Eye gaze reflects episodic memory sampling during decision making</dc:title><dc:creator>Nicholas, Jonathan</dc:creator><dc:creator>Mattar, Marcelo G</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Episodic memory enables decision making by allowing choices to be guided by detailed past experiences. Yet, because this process unfolds covertly, the mechanisms governing how memories impact deliberation remain poorly understood. Here we use gaze reinstatement to reveal the hidden dynamics of episodic memory retrieval during value-based choice. We tracked participants' eye movements while they encoded episodes consisting of items with associated rewards at distinct spatial locations and subsequently made decisions based on these episodes. Critically, no visual information was provided to participants during their choices. Nonetheless, participants systematically directed their gaze toward the encoding locations of retrieved episodes during deliberation, and these gaze patterns predicted their choices. These findings demonstrate that eye movements provide a high-resolution window into moment-by-moment episodic sampling during decision making. By revealing which episodes are retrieved and when, this approach opens new directions for investigating how episodic memory guides adaptive behavior.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Eye tracking</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/71k6s86w</dc:identifier><dc:identifier>https://escholarship.org/content/qt71k6s86w/qt71k6s86w.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4rk666j1</identifier><datestamp>2026-07-31T13:26:49Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4rk666j1</dc:identifier><dc:title>Signatures of discrete action symbols emerge in a task-optimized neural model</dc:title><dc:creator>Correa, Carlos G.</dc:creator><dc:creator>Tian, Lucas Yanan</dc:creator><dc:creator>Liu, Yue</dc:creator><dc:creator>Kumar, Sreejan</dc:creator><dc:creator>Hanuska, Daniel J.</dc:creator><dc:creator>Garzón Gupta, Kedar</dc:creator><dc:creator>Wang, Xiao-Jing</dc:creator><dc:creator>Freiwald, Winrich A.</dc:creator><dc:creator>Tenenbaum, Joshua B.</dc:creator><dc:creator>Mattar, Marcelo G</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Key to intelligence is the ability to flexibly compose and combine atomic concepts into representations that guide behavior, making
"infinite use of finite means". However, modeling often assumes discrete concepts exist and focuses on their use, leaving it unclear how
they are learned from complex sensory inputs and mapped to motor outputs. To address this limitation, we build on a drawing-like task
and behavioral metrics that indicate discrete structure in motor behavior from Tian et al. (2025). Importantly, these discrete concepts
were encoded in neural recordings from non-human primates that exhibited these behavioral metrics, validating the metrics. Here, we
use this task and behavioral metrics as a modeling target, to quantify how discrete structure arises in a task-optimized neuro-symbolic
model (Liang et al., 2022). Our model recapitulates these behavioral metrics, offering a foundation to compare with neural data and
understand what drives the emergence of discrete conceptual structure.</dc:description><dc:subject>Neuroscience</dc:subject><dc:subject>Animal cognition</dc:subject><dc:subject>Concepts and categories</dc:subject><dc:subject>Skill acquisition and learning</dc:subject><dc:subject>Neural Networks</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4rk666j1</dc:identifier><dc:identifier>https://escholarship.org/content/qt4rk666j1/qt4rk666j1.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt92v7f02h</identifier><datestamp>2026-07-31T13:26:38Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt92v7f02h</dc:identifier><dc:title>LLMs Struggle With Negation, but so do Humans - a Two-step Simulation Approach</dc:title><dc:creator>Döcker, Lenny Tim</dc:creator><dc:creator>Erens, Kevin Nick</dc:creator><dc:creator>Kaup, Barbara</dc:creator><dc:creator>Capuano, Francesca</dc:creator><dc:date>2026-01-01</dc:date><dc:description>While substantial research has addressed the challenges of negation processing in humans, the parallels between human cognitive models and large language models (LLMs) in this regard remain less explored. This paper investigates how GPT-4o processes negation, drawing comparisons to human negation processing, particularly the two-step model of negation. In two experiments using image-sentence pairs, we assess the model's ability to handle affirmative and negated sentences. Our findings reveal that, like humans, GPT-4o struggles more with negation, exhibiting higher rates of incorrect inferences after negation, and a systematic bias toward completions associated with
the negated state of affairs. This study highlights the qualitative similarities between AI and human processing of negation, offering insights into the limitations of current LLMs and suggesting future directions for improving their cognitive alignment with more complex linguistic constructs.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Representation</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/92v7f02h</dc:identifier><dc:identifier>https://escholarship.org/content/qt92v7f02h/qt92v7f02h.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7j53t6kt</identifier><datestamp>2026-07-31T13:26:35Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7j53t6kt</dc:identifier><dc:title>Comparing the Likelihood of Producing Distant Analogs Through Retrieval versus Invention</dc:title><dc:creator>Gómez, Ana</dc:creator><dc:creator>Ceccacci Sawicki, Luciana</dc:creator><dc:creator>Minervino, Ricardo A</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Research has long shown that retrieving semantically distant analogs from long-term memory is difficult, whereas retrieving near analogs is relatively easy, a limitation viewed as a major constraint on cross-domain transfer. An alternative route may lie in the invention of analogs. We report two experiments comparing the effects of surface similarity on analog retrieval and analog invention. In Experiment 1, using a production paradigm, participants were presented with simple events drawn from familiar schemas. In the retrieval condition, they recalled analogous events; in the invention condition, they generated them. Results showed that retrieving distant analogs was difficult, whereas inventing them was relatively easy. Experiment 2 replicated this pattern using materials with larger and more complex relational structures and a hybrid paradigm that controlled the availability of intra- and inter-domain analogs in memory, while enabling clearer discrimination between retrieved and invented analogs.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Analogy</dc:subject><dc:subject>Creativity</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Reasoning</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7j53t6kt</dc:identifier><dc:identifier>https://escholarship.org/content/qt7j53t6kt/qt7j53t6kt.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0fp0t5df</identifier><datestamp>2026-07-31T13:26:35Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0fp0t5df</dc:identifier><dc:title>Evidence for Representational Shifts in the Learning of Chinese Characters: An Investigation using Machine Vision Techniques</dc:title><dc:creator>Zhou, Zhuqian</dc:creator><dc:creator>Corter, James E.</dc:creator><dc:creator>Liang, Yurong</dc:creator><dc:date>2026-01-01</dc:date><dc:description>How does the visual representation of Chinese characters change with expertise? Fluent readers are known to perceive characters in terms of radicals and structural configurations, but the representational basis of perception before such knowledge is acquired remains unclear. We test whether novices' similarity judgments can be explained by generic shape computations from computer vision. Participants with three expertise levels rated pairwise visual similarity of Chinese characters. From pixelated character silhouettes, we computed 109 descriptors spanning multiple families of low-level shape statistics and derived pairwise distances. Using representational similarity analysis and Random Forest prediction, we compared descriptor distances with human judgments. Shape descriptors predicted novices' judgments strongly and learners' moderately but failed to predict fluent readers'. These findings establish a representational bridge between computer vision techniques and human visual cognition, suggesting that the generic shape geometry processing may form the starting point of visual similarity judgments before expertise introduces higher-level structure.</dc:description><dc:subject>Cognitive development</dc:subject><dc:subject>Pattern recognition</dc:subject><dc:subject>Perception</dc:subject><dc:subject>Vision</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0fp0t5df</dc:identifier><dc:identifier>https://escholarship.org/content/qt0fp0t5df/qt0fp0t5df.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt64f9r0c6</identifier><datestamp>2026-07-31T13:26:25Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt64f9r0c6</dc:identifier><dc:title>Single-Neuron &amp;amp; LFP Representations of Fear Processing in the Human Brain</dc:title><dc:creator>Jacob, George</dc:creator><dc:creator>Pacheco-Estefan, Daniel</dc:creator><dc:creator>Bouyeure, Antoine</dc:creator><dc:creator>Lehongre, Katia</dc:creator><dc:creator>Frazzini, Valerio</dc:creator><dc:creator>Navarro, Vincent</dc:creator><dc:creator>Axmacher, Nikolai</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Fear extinction involves forming inhibitory safety memories that compete with the original fear traces. We recorded intracranial microelectrode data from 24 epilepsy patients to investigate how neuronal activity supports these representational shifts. During acquisition, amygdala neurons showed increased firing rates (475–525 ms) for aversive outcomes (n = 19). Oscillatory analyses (n = 24) revealed that the entorhinal cortex exhibited high-gamma enhancement (52–70 Hz and 74–88 Hz; both 0.80–1.10 s) following aversive outcome delivery during acquisition, while extinction was marked by low-frequency suppression (2–10 Hz, 1.15–1.50 s) following reinforcement. When combining acquisition and extinction phases, the hippocampus showed early high-gamma responses (76–98 Hz, 0.25–0.40 s) to aversive outcomes. Critically, hippocampal gamma power (38–62 Hz, 0.30–0.40 s) during extinction distinguished stimuli retaining threat value (CS++) from those undergoing extinction (CS+-), with the latter becoming indistinguishable from always-safe cues (CS--). Our results provide a cellular foundation for how the human mind adjudicates between competing memories and updates mental models through sensory evidence and threat evaluation.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Neuroscience</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Memory</dc:subject><dc:subject>cognitive neuropsychology</dc:subject><dc:subject>Electroencephalography (EEG)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/64f9r0c6</dc:identifier><dc:identifier>https://escholarship.org/content/qt64f9r0c6/qt64f9r0c6.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0hg7m15k</identifier><datestamp>2026-07-31T13:26:25Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0hg7m15k</dc:identifier><dc:title>Training Children's Understanding of Numbers Using Compositional Cues</dc:title><dc:creator>Vilches, Lucia A</dc:creator><dc:creator>Srinivasan, Akshita</dc:creator><dc:creator>Liu, Jiaxin</dc:creator><dc:creator>Spelke, Elizabeth</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Infants form exact representations of small quantities (1 to 4) but only approximate representations of larger quantities. How do children acquire exact large-number concepts? We tested whether training showing how sets of 5 or 6 can be decomposed into smaller sets increases children's understanding of five and six. We compared compositional training, using expressions such as "I have five pets: three dogs and two cats" paired with visual displays of the subsets, to training that drew attention to each object in succession, as in counting ("I have five pets, here's one, and another, and another, and another, and another."). Children who did not know the trained number word at the outset performed significantly better at test in the compositional condition. Thus, children can leverage their knowledge of small numbers to build representations of larger numbers.</dc:description><dc:subject>Education</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Development</dc:subject><dc:subject>Other</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0hg7m15k</dc:identifier><dc:identifier>https://escholarship.org/content/qt0hg7m15k/qt0hg7m15k.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8q27b333</identifier><datestamp>2026-07-31T13:26:24Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8q27b333</dc:identifier><dc:title>Quantifier and implicature processing in contexts with full and partial information.</dc:title><dc:creator>Spychalska, Maria</dc:creator><dc:creator>Reimer, Ludmila</dc:creator><dc:creator>Werning, Markus</dc:creator><dc:date>2026-01-01</dc:date><dc:description>When evaluating the truth of a sentence, we do not always
have full information available. While there exists psycholinguistic
research on how an uncertain speaker influences a listener's
quantifier processing and interpretation, it remains difficult
to disentangle a listener's preferred utterances from ones
they merely tolerate as acceptable if uttered by someone else.
In the presented research, we investigate how readers process
assertable and non-assertable quantified statements in epistemically
uncertain situations. We focus on the weak and strong
scalar implicatures for the quantifier "some", which arise in
such contexts. We show differential ERP effects depending on
whether participants adopt the weak or strong pragmatic interpretation.
We also show that partial-information contexts
are associated with a late and sustained negativity effect, likely
signalling epistemic context monitoring.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Pragmatics</dc:subject><dc:subject>Semantics of language</dc:subject><dc:subject>Electroencephalography (EEG)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8q27b333</dc:identifier><dc:identifier>https://escholarship.org/content/qt8q27b333/qt8q27b333.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2h60n3c7</identifier><datestamp>2026-07-31T13:26:23Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2h60n3c7</dc:identifier><dc:title>Visuospatial Perspective Taking in Multimodal Language Models</dc:title><dc:creator>Prunty, Jonathan</dc:creator><dc:creator>Zhang, Seraphina</dc:creator><dc:creator>Quinn, Patrick</dc:creator><dc:creator>Lian, Jianxun</dc:creator><dc:creator>Xie, Xing</dc:creator><dc:creator>Cheke, Lucy G</dc:creator><dc:date>2026-01-01</dc:date><dc:description>As multimodal language models (MLMs) are increasingly used in social and collaborative settings, it is crucial to evaluate their perspective-taking abilities. Existing benchmarks largely rely on text-based vignettes or static scene understanding, leaving visuospatial perspective-taking (VPT) underexplored. We procedurally generate large stimulus batteries for two evaluation tasks adapted from human studies: the Rotating Figure Task, probing perspective-taking across angular disparities, and the Director Task, assessing VPT in a referential communication paradigm. Across both tasks, MLMs show pronounced deficits in Level 2 VPT, with failure patterns indicating reliance on simple mirroring heuristics rather than genuine perspective transformations. These results expose critical limitations in current MLMs' ability to represent and reason about alternative perspectives, with implications for use in collaborative contexts.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Language understanding</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Spatial cognition</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2h60n3c7</dc:identifier><dc:identifier>https://escholarship.org/content/qt2h60n3c7/qt2h60n3c7.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7kx585gt</identifier><datestamp>2026-07-31T13:24:41Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7kx585gt</dc:identifier><dc:title>Belief Updating: Utilizing a New Paradigm to Separate Evidence Evaluation and Memory Dynamics</dc:title><dc:creator>Oliver, Gavin</dc:creator><dc:creator>Schrater, Paul</dc:creator><dc:date>2026-01-01</dc:date><dc:description>People often judge claims using cues like familiarity and source credibility, but later judgments may also be shaped by memory for what they previously believed. We used a three-phase task to separate these influences. Prolific participants (N = 130) completed 30 pairs of factual statements across five domains. In Section 1, they rated belief in an initial statement (S1) and their familiarity with it. In Section 2, they rated belief in a conceptually related evidence statement (S2) paired with a source and judged source credibility and statement familiarity; S2 either supported or refuted S1. In Section 3, they reported what they thought they answered for S1 earlier (belief-memory) and then re-rated S1. Mixed-effects models showed that credibility and S2 familiarity predicted Section-2 belief, while belief-memory and final belief about S1 were associated with both initial belief and the implications of S2 evaluation.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Knowledge representation</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7kx585gt</dc:identifier><dc:identifier>https://escholarship.org/content/qt7kx585gt/qt7kx585gt.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt15r8301v</identifier><datestamp>2026-07-31T13:24:41Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt15r8301v</dc:identifier><dc:title>Modeling Context-Sensitive Effects of Inequity on Reinforcement Learning</dc:title><dc:creator>Ham, Huang</dc:creator><dc:creator>Wang, Mu-Chen</dc:creator><dc:creator>Kable, Joseph</dc:creator><dc:creator>Jenkins, Adrianna C.</dc:creator><dc:date>2026-01-01</dc:date><dc:description>People are sensitive to unequal outcomes. Recent studies show that people's ability to learn action-reward mappings depends on the percentage of the reward amount they receive (compared to another person), even when such information does not change which actions are the most rewarding for the learner. However, questions remain about the degree to which this sensitivity to inequity depends on the broader inequity context. We report results from two additional experiments in which participants had the opportunity to learn action-reward mappings, with only part of the reward going to the participant. Crucially, we manipulated whether participants encountered both advantageous and disadvantageous inequity, or only one type of inequity, within the same learning block. We found that the effect of inequity differed between these two designs, suggesting that inequity affects learning in at least partly a context-dependent way. We formalized context-dependency into a new computational model which outperformed its context-independent counterpart.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Neuroscience</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Learning</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Psychophysics</dc:subject><dc:subject>Statistics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/15r8301v</dc:identifier><dc:identifier>https://escholarship.org/content/qt15r8301v/qt15r8301v.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6d91j03t</identifier><datestamp>2026-07-31T13:24:06Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6d91j03t</dc:identifier><dc:title>Syntactic Reanalysis Across the Adult Lifespan: Evidence From Eye Movements</dc:title><dc:creator>Polychronidou, Maria</dc:creator><dc:creator>Hartsuiker, Robert</dc:creator><dc:creator>Hendriks, Petra</dc:creator><dc:creator>Sprenger, Simone</dc:creator><dc:date>2026-01-01</dc:date><dc:description>This study examines the influence of age-related cognitive
decline on the time course of syntactic reanalysis in Dutch
NP/S-coordination garden-path sentences using eye tracking.
110 native Dutch speakers (30-80 years) read ambiguous
sentences and comma-disambiguated controls. Garden-path
costs were strongest at the ambiguous noun and smaller at the
disambiguating verb, with no spillover effects. To further
investigate age-related variability, we related garden-path
effects to individual differences in cognitive abilities. Principal
Components Analysis identified two components reflecting
working memory and cognitive flexibility. Together with
reading experience and associative learning, we tested these
predictors of garden-path costs. Working memory, reading
experience and associative learning moderated early garden-path
effects, consistent with efficient encoding and rapid
updating upon encountering ambiguity. Cognitive flexibility
emerged as the most consistent predictor of late garden-path
costs, suggesting a role in flexibly managing competing parses
and supporting syntactic reanalysis.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Syntax</dc:subject><dc:subject>Eye tracking</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6d91j03t</dc:identifier><dc:identifier>https://escholarship.org/content/qt6d91j03t/qt6d91j03t.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0mn9g24b</identifier><datestamp>2026-07-31T13:24:06Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0mn9g24b</dc:identifier><dc:title>Comparing LLM and Human Responses to Human- and AI-labeled Partners During Naturalistic Conversation</dc:title><dc:creator>Metzgar, Rachel</dc:creator><dc:creator>Graziano, Michael</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Large language models (LLMs) increasingly interact with humans and other AI systems, raising questions about whether they adjust behavior based on partner identity. In a companion study, humans showed behavioral differences when conversing with partners labeled as human versus AI. Here, we extend this investigation to LLMs. We simulated 2,000 conversations where GPT-3.5-turbo "participants" (N = 50) engaged with partners labeled as either human or AI. All partners were actually identical LLMs, isolating label effects from actual differences. We analyzed transcripts using linguistic measures paralleling human data. LLMs showed robust label effects: more questions, politeness, interpersonal discourse markers, and mental state language with human-labeled partners; more words and positive sentiment with AI-labeled partners. Hedging showed category-specific patterns. Only the discourse marker "like" showed similar patterns across the LLM and human studies. These divergent patterns suggest LLMs have learned partner-type associations, but their social behavior differs fundamentally from humans.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0mn9g24b</dc:identifier><dc:identifier>https://escholarship.org/content/qt0mn9g24b/qt0mn9g24b.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt42g6z7mn</identifier><datestamp>2026-07-31T13:24:00Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt42g6z7mn</dc:identifier><dc:title>Community Violence, Socioeconomic Status, and Maternal Emotional Distress: Compensatory Parenting Practices in an Urban Latin American Context</dc:title><dc:creator>Nin, Veronica</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Territorial violence in Montevideo, Uruguay has increased in recent decades and, although concentrated in specific neighborhoods, may affect the broader urban territory and its population. Despite its growing salience, the psychological and family-level consequences of territorial violence in Montevideo remain largely unexplored. This study examines associations between perceived neighborhood violence, maternal negative affect, social support, and hostile parenting in a community sample of 301 mothers of school-aged children. Regression and mediation models controlling for sociodemographic covariates indicated that higher perceived violence was associated with greater maternal negative affect, which mediated associations with hostile parenting. In contrast to findings commonly reported in the Global North, higher perceived violence showed a direct negative association with hostile practices, suggesting a compensatory caregiving response under conditions of insecurity. Moderation analyses further indicated that social support buffered the association between perceived violence and maternal negative affect.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Sociology</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Development</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/42g6z7mn</dc:identifier><dc:identifier>https://escholarship.org/content/qt42g6z7mn/qt42g6z7mn.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt56d9941h</identifier><datestamp>2026-07-31T13:16:38Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt56d9941h</dc:identifier><dc:title>Exploring Lay Theory of Mind</dc:title><dc:creator>Cappiello, Lorenzo</dc:creator><dc:creator>Catmur, Caroline</dc:creator><dc:creator>Hashmi, Salim</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Understanding observed actions (mentalisation) is thought to rely on latent causal models. However, computational approaches typically employ fixed, experimenter-defined structures tested in artificial tasks. In this study, participants provided probabilistic beliefs about player types, intentions, and actions, then categorised naturalistic gameplay videos by intention or player type, reporting their subjective causal theories. We compared direct versus latent-inverse inference, crossing individual versus aggregate priors, and selecting latent variables according to participants' theories. Latent models outperformed direct models when predicting player type. Intention aggregate priors improved accuracy across metrics. To contextualise the estimates, significant video features and respective weights were elicited from a subset of the sample. Although models weighting the inference-latent variable relation consistently outperformed alternative weighting schemes, supplementary feature-based weights did not significantly alter estimates. Together, these findings demonstrate that incorporating participants' subjective causal structures through cross-path weighting offers a novel, empirically grounded framework for understanding mentalisation in naturalistic settings.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Causal reasoning</dc:subject><dc:subject>Cognitive architectures</dc:subject><dc:subject>Event cognition</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Statistical learning</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/56d9941h</dc:identifier><dc:identifier>https://escholarship.org/content/qt56d9941h/qt56d9941h.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2k1737pg</identifier><datestamp>2026-07-31T13:16:37Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2k1737pg</dc:identifier><dc:title>Gesturing Negation: Integrating Multimodal Information</dc:title><dc:creator>Sonntag, Samuel</dc:creator><dc:creator>Mackenzie, Ian Grant</dc:creator><dc:creator>Schütt, Emanuel</dc:creator><dc:creator>Oguz, Sara</dc:creator><dc:creator>Weicker, Merle</dc:creator><dc:creator>Dudschig, Carolin</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Human face-to-face communication encompasses more than just words and it has repeatedly been shown that the presence of multimodality (in the form of gesture-speech pairings) can facilitate comprehension under increased processing demands. Despite its frequent use in practically every language in the world, one instance of increased processing demands might be negation—which has repeatedly been shown to elicit processing difficulties. Thus, we investigated the multimodality for compensation account, which posits that negation would specifically benefit from the presence of multimodal information. In three preregistered experiments, we compared compatible pairings of gesture and speech to incompatible (Experiment 1) and unimodal ones (Experiments 2 and 3). Contrary to our initial hypothesis, affirmative information seemed to benefit more from the presence of multimodality than negative information. Two possible explanations for the results will be discussed; namely, the proportion of compatibility and the possible processing demands imposed by redundant information from emblematic gestures.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2k1737pg</dc:identifier><dc:identifier>https://escholarship.org/content/qt2k1737pg/qt2k1737pg.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt55c6v239</identifier><datestamp>2026-07-31T13:16:36Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt55c6v239</dc:identifier><dc:title>The cognitive cost of lying: using mouse dynamics and unexpected questions to detect false future intentions</dc:title><dc:creator>Bolcato, Alice</dc:creator><dc:creator>Zangrossi, Andrea</dc:creator><dc:creator>Monaro, Merylin</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Detecting false future intentions is crucial for prevention and security. The aim of this study was to investigate whether mouse tracking could efficiently identify deception about the future. Grounded on the cognitive load approach to lie detection, we used the unexpected question technique to increase liars' mental effort. Thirty-four participants, randomly divided into two groups (liars vs truth tellers), answered honestly or deceptively a series of control, expected, and unexpected dichotomous questions about a future event. During the task, reaction times, errors and mouse trajectories were recorded. Results showed that unexpected questions significantly impaired liars' performance, leading to higher error rates and greater mouse trajectory irregularity compared to truth-tellers. These findings suggest that unexpected questions amplify the response conflict faced by liars during decision-making. Overall, mouse dynamics appear to be a real-time implicit measure of the cognitive effort associated with deception, offering a promising tool for identifying false intentions.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Action</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:subject>Interactive behavior</dc:subject><dc:subject>Predictive Processing</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:subject>Gesture analysis</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/55c6v239</dc:identifier><dc:identifier>https://escholarship.org/content/qt55c6v239/qt55c6v239.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt73n746s6</identifier><datestamp>2026-07-31T13:16:35Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt73n746s6</dc:identifier><dc:title>From Speech to Print: A Neurocomputational Model of the Predictors of Reading Based on Learned Speech Representations</dc:title><dc:creator>Dutra, Martín</dc:creator><dc:creator>Zangrando, Daniel</dc:creator><dc:creator>Valle-Lisboa, Juan C</dc:creator><dc:date>2026-01-01</dc:date><dc:description>We present a reading acquisition model including state of the art architectures that reduce to a minimum ad hoc assumptions. We apply this model to compare early reading acquisition between opaque and transparent orthographies. We use speech representations obtained from wav2vec 2.0 as the auditory part of our model and the pre-trained convolutional neural network CORnet, to represent visual processing. Both modules converge onto a Long-Short-Term Memory (LSTM) model that we train to recognize words. We train the LSTM to recognize auditory presented words, letter sounds and visually presented letters. In Spanish, further training the model to recognize a word from a sequence of visual letters and letter sounds is enough to reach appropriate levels of visual word recognition, generalizing to words it has not seen visually, whereas the same does not happen in French or English. The model explains the difference in relevant predictors in opaque and transparent orthographies.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Linguistics</dc:subject><dc:subject>Neuroscience</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Audition</dc:subject><dc:subject>Complex systems</dc:subject><dc:subject>Learning</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>Phonology</dc:subject><dc:subject>Reading</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/73n746s6</dc:identifier><dc:identifier>https://escholarship.org/content/qt73n746s6/qt73n746s6.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3wb789w1</identifier><datestamp>2026-07-31T13:16:34Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3wb789w1</dc:identifier><dc:title>Norming an Odd-Word-Out task for a language assessment tool in Brazilian Portuguese: effect of sensory qualia relations and implicit syntactic structure.</dc:title><dc:creator>Soto, Marije</dc:creator><dc:creator>França, Aniela Improta</dc:creator><dc:creator>Arevalo, Analia</dc:creator><dc:creator>Novo Gomes, Juliana</dc:creator><dc:creator>Santos, Giovanna Oliveira</dc:creator><dc:creator>Silva de Camargo, Patricia</dc:creator><dc:creator>Lepski, Guilherme</dc:creator><dc:creator>Nunes, Márcia Terezinha</dc:creator><dc:date>2026-01-01</dc:date><dc:description>The odd word out task is standard for assessing verbal semantic processing, yet normed stimuli for Brazilian Portuguese (BP) are lacking. This is problematic given linguistic differences between Brazilian and European Portuguese and the clinical relevance of semantic deficits following brain lesions or during awake neurosurgery. This study examined the influence of constitutive qualia, telic qualia, and implicit syntactic relations on performance in an odd word out task in BP. Healthy participants (n = 210) completed a task involving three-word sequences containing one unrelated target. Accuracy was high across relation types (mean = 94.6%), while reaction times differed, with fastest responses for syntactic relations, followed by constitutive and telic relations, suggesting an influence of implicit syntax on semantic processing. Targets were identified more quickly and accurately in the third position. These results provide normative data for BP speakers and underscore the importance of these factors when designing language assessment tools.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Linguistics</dc:subject><dc:subject>Neuroscience</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Cognitive Humanities</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Semantic memory</dc:subject><dc:subject>Semantics of language</dc:subject><dc:subject>Syntax</dc:subject><dc:subject>cognitive neuropsychology</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3wb789w1</dc:identifier><dc:identifier>https://escholarship.org/content/qt3wb789w1/qt3wb789w1.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4cx2800n</identifier><datestamp>2026-07-31T13:16:28Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4cx2800n</dc:identifier><dc:title>Human-Like Means Emotionally Competent: How Framing an AI Shapes Task Assignment in Cognitive Offloading</dc:title><dc:creator>Wahn, Basil</dc:creator><dc:creator>Jerzembeck, Utz</dc:creator><dc:creator>Wiese, Eva</dc:creator><dc:date>2026-01-01</dc:date><dc:description>As artificial intelligence (AI) becomes increasingly integrated into work and daily life, it is crucial to understand how people decide which tasks to delegate. We examined how AI descriptions influence delegation in arithmetic and social tasks. Participants either completed tasks themselves or offloaded them to one of two AIs. In Experiment 1, the AIs were described as human-like and machine-like, and participants were informed that both performed the tasks equally well. Social tasks were more often delegated to the human-like AI, and arithmetic tasks to the machine-like AI. Open-ended responses indicated that human-likeness was associated with emotional competence, and machine-likeness with logical competence. In Experiment 2, AIs were described as emotionally competent or logically competent, and the same task-specific delegation pattern emerged. These findings suggest that broad labels are spontaneously interpreted in terms of task-relevant competence.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Distributed cognition</dc:subject><dc:subject>Group Behaviour</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:subject>Perception</dc:subject><dc:subject>Social cognition</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4cx2800n</dc:identifier><dc:identifier>https://escholarship.org/content/qt4cx2800n/qt4cx2800n.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6vc2z6cp</identifier><datestamp>2026-07-31T13:16:27Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6vc2z6cp</dc:identifier><dc:title>Geeks are different: Exploring the relationship between engineering knowledge and categorization patterns.</dc:title><dc:creator>Yang, Kunhao</dc:creator><dc:creator>Fujisaki, Itsuki</dc:creator><dc:creator>Ueda, Kazuhiro</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Categorization is a fundamental cognitive process that shapes how people organize experience. Previous research has shown that industrialization can significantly affect categorization patterns across different cultures. However, one question remains unresolved: Does the amount of engineering knowledge affect individual categorization patterns, even within a culturally homogeneous population? This study addressed this question using data from two web-based surveys conducted in Japan, one focusing on the automobile (N = 600) and the other on audio device industries (N = 200). Our findings indicate that individuals with greater engineering knowledge are more inclined to employ taxonomic categorization, whereas those with less engineering knowledge tend to favor thematic categorization. Given the connection between industrialization and categorization demonstrated in previous studies, our findings suggest that individual differences in categorization are associated with exposure to technology-oriented social environments, illustrating one way in which industrialization may influence cognition.</dc:description><dc:subject>Sociology</dc:subject><dc:subject>Perception</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6vc2z6cp</dc:identifier><dc:identifier>https://escholarship.org/content/qt6vc2z6cp/qt6vc2z6cp.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1zb6w30b</identifier><datestamp>2026-07-31T13:16:20Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1zb6w30b</dc:identifier><dc:title>How Do We Assess Executive Functions ? A Systematic Review of Tasks and Processes for Inhibition, Updating and Shifting</dc:title><dc:creator>Laurent, Camille</dc:creator><dc:creator>Erhel, Séverine</dc:creator><dc:creator>Gonthier, Corentin</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Executive functions are essential for adaptive behavior, but there is substantial variability in the way these functions are assessed. Unfortunately, the literature has mostly focused on tasks rather than the processes involved in those tasks. Adopting a process-based rather than a task-based approach could improve the assessment and conceptualization of executive functions. We systematically reviewed literature on how researchers assess executive functioning, including the tasks used and the processes involved in those tasks. We included studies measuring inhibition (n = 844), updating (n = 844) or shifting (n = 1048) among human participants with any performance-based measure. The results show that researchers have used many different tasks to measure the same concept, but tasks supposed to target the same executive function can actually engage very different processes. In addition, the participants' age or disorder has a significant effect on the type of tasks retained to assess the same executive function and the processes they involve, which means developmental literature does not necessarily assess the same "inhibition" as the adult neuropsychological literature. Our review underlines the importance of using multiple tasks to measure inhibition, updating or shifting, and the importance of clarifying and reporting on the processes supposed to be involved in these tasks, moving from a task-based approach to a more realistic process-based approach.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Concepts and categories</dc:subject><dc:subject>Problem Solving</dc:subject><dc:subject>Reasoning</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1zb6w30b</dc:identifier><dc:identifier>https://escholarship.org/content/qt1zb6w30b/qt1zb6w30b.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8q26s1bh</identifier><datestamp>2026-07-31T13:16:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8q26s1bh</dc:identifier><dc:title>When Correlation means Causation: Pragmatic Factors modulate Causal Implicatures in Decision-Making Contexts</dc:title><dc:creator>Wang, Hening</dc:creator><dc:creator>Lassiter, Daniel</dc:creator><dc:creator>Franke, Michael</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Correlational statements (e.g., "$X$ is associated with $Y$") can be interpreted as conveying a causal relationship. 
Recent work suggests that such interpretations may be legitimate pragmatic inferences, especially in decision-relevant contexts. 
Here, we investigate whether causal enrichment of correlational language affects memory recall and message passing, and how pragmatic features of the communicative context modulate it.
Our findings support a pragmatic account of causal enrichment of correlational language.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Causal reasoning</dc:subject><dc:subject>Pragmatics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8q26s1bh</dc:identifier><dc:identifier>https://escholarship.org/content/qt8q26s1bh/qt8q26s1bh.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8383t7zc</identifier><datestamp>2026-07-31T13:16:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8383t7zc</dc:identifier><dc:title>Mapping Verb Meaning in Space: Spatial Feature Norms for Rioplatense Spanish Verbs</dc:title><dc:creator>Macedo, María Noel</dc:creator><dc:creator>Aguirre, Roberto</dc:creator><dc:creator>Cabana, Álvaro</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Understanding how language recruits spatial cognition to represent events and actions is central to theories of embodied cognition and cognitive linguistics. This study presents a normative dataset of spatial feature ratings for 75 verbs in Rioplatense Spanish, examining the relationship between image-schematic representations and syntactic congruence. A total of 639 native speakers completed an online Spatial Features Questionnaire for Verbal Semantics. Participants judged whether trajectory-based image schemas matched each verb under congruent (subject–verb–object) and incongruent (object–verb–subject) conditions. Chi-square analyses and proportion tests revealed higher acceptance rates for congruent configurations, indicating that syntactic order constrains spatial representations. Item-level analyses showed that a subset of verbs elicited stable spatial trajectory preferences under congruent conditions. These results provide a normative resource that characterizes structured verb–space associations and documents the role of syntactic structure in shaping spatial judgments, offering stimuli for future experimental and cross-linguistic research on embodiment and spatial grounding in Spanish verb processing.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Embodied Cognition</dc:subject><dc:subject>Semantics of language</dc:subject><dc:subject>Spatial cognition</dc:subject><dc:subject>Survey</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8383t7zc</dc:identifier><dc:identifier>https://escholarship.org/content/qt8383t7zc/qt8383t7zc.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4nx7f7hc</identifier><datestamp>2026-07-31T13:16:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4nx7f7hc</dc:identifier><dc:title>Abstraction Modulates Judgments of Intentional Action</dc:title><dc:creator>Cao, Angela</dc:creator><dc:creator>Ho, Mark</dc:creator><dc:creator>Rehder, Bob</dc:creator><dc:date>2026-01-01</dc:date><dc:description>This paper investigates how the different levels of hierarchical plans modulate judgments of intentional action. While previous research has focused on how moral valence influences intentionality judgments of side-effects (outcomes that were not a part of the agent's original plan), we focus on sub-events, which are candidate decompositions of higher-level goals that were a part of the agent's plan. We address two central questions: (1) does the impact of moral valence on intentionality judgments differ between sub-events and side-effects? and (2) does the level of abstraction at which a sub-event is defined affect judgments of its intentionality? Our results show that the effect of moral valence is largely neutralized for sub-events, which instead exhibit a decrease in perceived intentionality as they are decomposed into lower-level actions. This indicates that future models of intentional action should take into account the asymmetry in judgments between higher- and lower-level actions.</dc:description><dc:subject>Philosophy</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4nx7f7hc</dc:identifier><dc:identifier>https://escholarship.org/content/qt4nx7f7hc/qt4nx7f7hc.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8rh6z2wr</identifier><datestamp>2026-07-31T13:16:04Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8rh6z2wr</dc:identifier><dc:title>Face Pareidolia and the Implicit Bystander Effect: A Drift-Diffusion Model Analysis with Individual Differences in Autistic Traits</dc:title><dc:creator>Liang, Lian H.</dc:creator><dc:creator>Stolle, Chris M.</dc:creator><dc:creator>Ng, Tin Yan</dc:creator><dc:creator>Huang, Yi</dc:creator><dc:date>2026-01-01</dc:date><dc:description>The bystander effect, reduced helping in the presence of others, has been linked to automatic neural processes that inhibit action preparation. Recent work using the Drift-Diffusion Model (DDM) showed that human faces slow evidence accumulation during emergency classification tasks. We examined whether face pareidolia stimuli (objects in which illusory faces are perceived) produce similar effects, and whether autistic traits predict decision-making parameters. Participants (N = 65) classified scenes as safe or dangerous while viewing human faces, face-like objects, or non-face-like objects. Human faces significantly slowed drift rate, replicating prior findings; face pareidolia showed a similar but non-significant trend. In this non-clinical sample, Autism-Spectrum Quotient (AQ) scores predicted slower drift rates for both scene types, with modest effect sizes (r = .26 to .28), suggesting reduced excitatory efficiency with higher autistic traits. These findings extend the implicit bystander effect to individual differences and link autistic traits to evidence accumulation.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8rh6z2wr</dc:identifier><dc:identifier>https://escholarship.org/content/qt8rh6z2wr/qt8rh6z2wr.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt11x25909</identifier><datestamp>2026-07-31T13:16:02Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt11x25909</dc:identifier><dc:title>A Rational Account of Categorization Based on Information Theory</dc:title><dc:creator>MacLellan, Christopher J.</dc:creator><dc:creator>Singaravadivelan, Karthik</dc:creator><dc:creator>Lian, Xin</dc:creator><dc:creator>Wang, Zekun</dc:creator><dc:creator>Langley, Pat</dc:creator><dc:date>2026-01-01</dc:date><dc:description>We present a new theory of categorization based on an information-theoretic rational analysis. To evaluate this theory, we investigate how well it can account for key findings from classic categorization experiments conducted by Hayes-Roth and Hayes-Roth (1977), Medin and Schaffer (1978), and Smith and Minda (1998). We find that it explains the human categorization behavior as well as (or better) than the independent cue and context models (Medin &amp;amp; Schaffer, 1978), the rational model of categorization (Anderson, 1991), and a hierarchical Dirichlet process model (Griffiths et al., 2007).</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Concepts and categories</dc:subject><dc:subject>Learning</dc:subject><dc:subject>Machine learning</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/11x25909</dc:identifier><dc:identifier>https://escholarship.org/content/qt11x25909/qt11x25909.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt96j9d4db</identifier><datestamp>2026-07-31T13:16:01Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt96j9d4db</dc:identifier><dc:title>Effects of linguistic context and reading abilities on processing of unknown words</dc:title><dc:creator>Ryzhova, Margarita</dc:creator><dc:creator>Ellsiepen, Emilia</dc:creator><dc:creator>Demberg, Vera</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Encountering unknown words disrupts reading and requires readers to rely on context to infer meaning. We investigate how contextual expectations (science-themed vs. daily-life narratives) and reader literacy modulate processing of unknown words. Using pseudowords as controlled proxies for unfamiliar lexical items, we conducted an eye-tracking experiment (Experiment 1) and a self-paced reading study (Experiment 2). To investigate how participants infer the meaning of pseudowords, each pseudoword was followed by a semantically associated word in the subsequent sentence. Across both methods, pseudowords elicited longer reading times. Crucially, eye-tracking results revealed that higher-literacy readers showed greater sensitivity to the semantically associated word, particularly in science-themed contexts. While both groups of readers showed attempts at reconstruct meaning in an offline task, higher-literacy readers mentioned unknown words themselves more frequently, which can be taken as evidence for incidental vocabulary learning. Together, these findings suggest that literacy supports strategic, context-sensitive processing of unknown words.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Discourse</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Reading</dc:subject><dc:subject>Eye tracking</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/96j9d4db</dc:identifier><dc:identifier>https://escholarship.org/content/qt96j9d4db/qt96j9d4db.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5px9p1w0</identifier><datestamp>2026-07-31T13:15:59Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5px9p1w0</dc:identifier><dc:title>Age Cohort Variability in Conceptual Complexity and Concreteness: The Case of Ecological and Technological Concepts</dc:title><dc:creator>Falcinelli, Ilenia</dc:creator><dc:creator>Fini, Chiara</dc:creator><dc:creator>Mazzuca, Claudia</dc:creator><dc:creator>Borghi, Anna</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Concepts are flexible and vary depending on multiple factors. Here, we investigate age cohort conceptual variations using the two domains of ecology (e.g., "deforestation") and technology (e.g., "web") as case examples. 320 Italian older adults (&amp;gt;64 years) evaluated 50 concepts per domain across 39 semantic dimensions. Their ratings were compared with those of younger adults (18–35 years) reported in Falcinelli et al. (2024a). Results revealed clear generational differences: representations were more complex and concrete for ecological concepts in older adults, and for technological concepts in younger adults. Additionally, older adults showed greater personal experience with ecological topics, while younger adults reported higher familiarity with technology. Theoretically, our findings support evidence regarding differences in conceptualizations across age cohorts. Scientifically, the resulting O-TECo database provides the first semantic norms tailored to older adults. Societally, results highlight the importance of age tailored interventions in these two crucial fields.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Concepts and categories</dc:subject><dc:subject>Representation</dc:subject><dc:subject>Semantics of language</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5px9p1w0</dc:identifier><dc:identifier>https://escholarship.org/content/qt5px9p1w0/qt5px9p1w0.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8tw7d8bt</identifier><datestamp>2026-07-31T13:15:58Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8tw7d8bt</dc:identifier><dc:title>Mathematical Cognition and its Neural Correlates During Development: A Scoping Review with Systematic Search</dc:title><dc:creator>Fernandes, Katarina Duarte</dc:creator><dc:creator>Sato, João Ricardo</dc:creator><dc:creator>Lukasova, Katerina</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Mathematics learning begins in schooling and plays a role in children's cognitive development, predicting academic achievement and professional success. Its development is influenced by linguistic, metacognitive, emotional, and cognitive factors. Cross-sectional neuroimaging studies have highlighted the involvement of the intraparietal sulcus and prefrontal cortex in mathematical tasks. However, longitudinal studies capituring the neural correlates of mathematical development in school-aged children remain scarce and heterogeneous. To provide an overview of current evidence on longitudinal studies of mathematical cognition with neural correlates, we conducted a review with a systematic search strategy. Nineteen studies were identified, revealing mathematics as a dynamic, multi-component system that evolves from a structural foundation into a functionally specialized network. Findings emphasize the central role of parietal and frontal regions, with contributions from temporal, occipital, and subcortical areas, while also underscoring the lack of naturalistic studies and diverse sociocultural samples.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Education</dc:subject><dc:subject>Cognitive development</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8tw7d8bt</dc:identifier><dc:identifier>https://escholarship.org/content/qt8tw7d8bt/qt8tw7d8bt.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt92d6q3zt</identifier><datestamp>2026-07-31T13:15:57Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt92d6q3zt</dc:identifier><dc:title>When is one confession better than two? Rational and observed belief updating under competing explanations</dc:title><dc:creator>Sanna, Greta Arancia</dc:creator><dc:creator>Young, David J.</dc:creator><dc:creator>Madsen, Jens Koed</dc:creator><dc:creator>Lagnado, David</dc:creator><dc:date>2026-01-01</dc:date><dc:description>A central challenge in belief updating is how individuals evaluate evidence when multiple competing hypotheses are plausible. Although prior work shows that belief updating can align with Bayesian principles, this evidence typically involves intuitively directional cases. It remains unclear whether similar rational trajectories are observed in counter-intuitive settings, where accumulating supportive evidence can increase the plausibility of an alternative explanation. In the present study, participants evaluated a scenario in which five sequentially presented confessions were diagnostic either of collective guilt or of coercive interrogation. Early confessions led to increases in belief in both guilt and force, indicating non-zero sum updating. However, contrary to a priori model predictions, participants did not exhibit the non-monotonic pattern whereby belief in force overtakes belief in guilt. Participant-specific Bayesian Network models showed closer alignment with observed trajectories, yet revealed systematic under-weighting of force and over-weighting of guilt. Overall, belief updating reflected sequential evidence integration rather than full Bayesian re-computation.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Causal reasoning</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/92d6q3zt</dc:identifier><dc:identifier>https://escholarship.org/content/qt92d6q3zt/qt92d6q3zt.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt59j8r8z8</identifier><datestamp>2026-07-31T13:15:56Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt59j8r8z8</dc:identifier><dc:title>Domain-Adaptive Transfer Learning with Recurrent Neural Networks for Cross-Subject P300 Speller Classification</dc:title><dc:creator>Luo, Yun</dc:creator><dc:creator>Lu, Wentao</dc:creator><dc:creator>Huang, Xi</dc:creator><dc:creator>Gao, Wei</dc:creator><dc:creator>Pan, Jiahui</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Brain-computer interface (BCI) research has advanced significantly, yet cross-subject P300 decoding remains challenging due to highly variable EEG signals. To address this, we propose a novel domain adaptation framework integrating transfer learning and recurrent neural networks (RNNs). The framework incorporates a gated recurrent unit (GRU) layer to effectively capture temporal dependencies of EEG signals, thereby mitigating temporal misalignment issues. By calculating transfer loss and applying time-step weighting, the framework enhances classification. Furthermore, feature-space adaptive alignment is employed to reduce inter-subject variability, lowering subject dependency and enabling accurate cross-subject character recognition. Experimental results demonstrate that the proposed method achieves an average character recognition accuracy of 92.38%, significantly surpassing traditional P300 recognition algorithms. This indicates that the method effectively mitigates the impact of temporal misalignment in EEG data as well as the high subject-dependence of BCI systems.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Consciousness</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:subject>Electroencephalography (EEG)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/59j8r8z8</dc:identifier><dc:identifier>https://escholarship.org/content/qt59j8r8z8/qt59j8r8z8.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2bq1d71z</identifier><datestamp>2026-07-31T13:15:30Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2bq1d71z</dc:identifier><dc:title>What guides utterance choice in argumentative language use?</dc:title><dc:creator>Carcassi, Fausto</dc:creator><dc:creator>Wang, Hening</dc:creator><dc:creator>Cummins, Chris</dc:creator><dc:creator>Franke, Michael</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Theories of the pragmatic use of language in the Gricean tradition, and related formalizations such as the Rational Speech Act (RSA) modeling framework, have focused on information exchange between cooperative interlocutors. More recent work has emphasized the importance of other, potentially less-cooperative functions of language, such as persuasion, argumentation, and manipulation. In this work, we bridge these two traditions by developing a model of argumentative utterance choice in the RSA framework. We propose several formalizations of the argumentative strength of a signal. We then measure how well they capture behaviour in a simple utterance production task in which participants were assigned an explicit argumentative goal. We show that the most popular formalization of argumentative strength fails to capture some of the participants' utterance choices, and discuss some alternatives. Our models constitute a substantial improvement over a baseline model, and remaining unexplained patterns are discussed.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Pragmatics</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2bq1d71z</dc:identifier><dc:identifier>https://escholarship.org/content/qt2bq1d71z/qt2bq1d71z.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0190h56r</identifier><datestamp>2026-07-31T13:15:30Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0190h56r</dc:identifier><dc:title>Prompted Generalizations Increase Cross-Domain Analogical Retrieval</dc:title><dc:creator>Trench, Maximo</dc:creator><dc:creator>Rivas, Leandro E.</dc:creator><dc:creator>Minervino, Ricardo A</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Using a cued-recall paradigm, Experiment 1 had two conditions retrieve base situations in response to surface-dissimilar analogs: one in which participants were prompted to re-represent the base situations in general terms, and one in which they reproduced them verbatim. Although the prompted generalizations tended to be either too tied to the original situation or too broad so as to encompass disanalogous cases, they increased retrieval of the base analogs compared to the unprompted condition. Besides replicating the retrieval advantage of prompting one-shot generalizations, Experiment 2 addressed whether a self-administered training could aid participants in producing very general reformulations of base situations of the kind that, in Experiment 1, were associated with greater retrieval. Even though trained participants produced a greater proportion of highly abstract generalizations, the training yielded no retrieval advantage over and above the prompted abstraction condition. We discuss the implications of the present findings for transfer-oriented instruction.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Analogy</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Reasoning</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0190h56r</dc:identifier><dc:identifier>https://escholarship.org/content/qt0190h56r/qt0190h56r.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3bk196pd</identifier><datestamp>2026-07-31T13:15:28Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3bk196pd</dc:identifier><dc:title>Reasonable Forgetting: How Memory Shapes Belief Updating Over Time</dc:title><dc:creator>Sanna, Greta Arancia</dc:creator><dc:creator>Lagnado, David</dc:creator><dc:creator>Ecker, Ullrich</dc:creator><dc:creator>Swire-Thompson, Briony</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Individuals often continue to rely on information even after credible sources have deemed it untrue, a phenomenon called the continued influence effect. This effect is especially consequential in politicised contexts where misinformation and polarisation threaten informed decision making. Existing accounts disagree on whether such belief persistence reflects cognitive failure or motivated reasoning, or whether it can instead arise from rational belief updating under constraints. We investigate this question by introducing delays during which no new information is provided, allowing memory for prior evidence to be less readily available. Across conditions, belief updating tracked the availability of evidence in memory, with beliefs regressing as supporting information decreased in availability and showing no systematic effects of political alignment. Moreover, belief trajectories aligned with predictions from Bayesian Network models parameterised using participants' own judgements. These findings suggest belief updating tracks memory availability and remains consistent with rational, evidence-based principles.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3bk196pd</dc:identifier><dc:identifier>https://escholarship.org/content/qt3bk196pd/qt3bk196pd.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt77k849q6</identifier><datestamp>2026-07-31T13:15:27Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt77k849q6</dc:identifier><dc:title>Empty restrictor and empty scope effects in questions with quantifiers</dc:title><dc:creator>Ramotowska, Sonia</dc:creator><dc:creator>Schlotterbeck, Fabian</dc:creator><dc:creator>Klochowicz, Tomasz</dc:creator><dc:creator>Spychalska, Maria</dc:creator><dc:creator>Aloni, Maria</dc:creator><dc:creator>Bott, Oliver</dc:creator><dc:date>2026-01-01</dc:date><dc:description>One striking divergence between logical modeling and language processing emerges when evaluating the empty set in the interpretation of quantifiers. It has been shown that empty restrictor scenarios lead to presupposition failure, while empty scope scenarios lead to logically incorrect judgments and a processing delay of downward-entailing quantifiers. In this study, we tested whether empty restrictor scenarios would be evaluated as true or false rather than rejected as odd in a question-answering task. We contrasted two weak downward-entailing quantifiers (fewer than n, at most n-1) with two weak upward-entailing quantifiers (more than m, at least m+1) in two complex question embeddings that made the evaluation possible to various degrees. We found that in these embeddings, empty restrictors are less often rejected as odd as well as that the empty restrictors of downward-entailing quantifiers are often evaluated as false.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Language understanding</dc:subject><dc:subject>Pragmatics</dc:subject><dc:subject>Representation</dc:subject><dc:subject>Semantics of language</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:subject>Quantitative Behavior</dc:subject><dc:subject>Statistics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/77k849q6</dc:identifier><dc:identifier>https://escholarship.org/content/qt77k849q6/qt77k849q6.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7g96088v</identifier><datestamp>2026-07-31T13:10:46Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7g96088v</dc:identifier><dc:title>The Cognitive Science of AI Alignment</dc:title><dc:creator>Voudouris, Konstantinos</dc:creator><dc:creator>Roberts-Gaal, Xavier</dc:creator><dc:creator>Bramley, Neil R.</dc:creator><dc:creator>Sucholutsky, Ilia</dc:creator><dc:creator>Summerfield, Christopher</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Modern AI systems are increasingly, and perhaps alarmingly, exceeding human performance in domains such as competition mathematics and coding (UK AISI, 2025). AI agents can now independently implement software engineering artifacts requiring hours of complex reasoning effort from humans. As AI capability and agency increase, designing reliable mechanisms to align AI systems, ensuring they act consistently with human values even when unmonitored, grows ever more urgent. Yet AI alignment remains poorly understood.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Computer Science</dc:subject><dc:subject>Philosophy</dc:subject><dc:subject>Psychology</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7g96088v</dc:identifier><dc:identifier>https://escholarship.org/content/qt7g96088v/qt7g96088v.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt08h2s1j3</identifier><datestamp>2026-07-31T13:10:43Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt08h2s1j3</dc:identifier><dc:title>Uncertainty in word learning in 14-month-olds</dc:title><dc:creator>Langus, Alan</dc:creator><dc:creator>Gafos, Adamantios</dc:creator><dc:creator>Hoehle, Barbara</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Hearing words uttered by multiple speakers can help infants learn similar-sounding words. However, speaker variability can hinder learning when multiple cues jointly signal auditory label identity (e.g., speaker gender and voicing), even though they make the words acoustically more distinct. We hypothesize that learning in these contexts is harder because infants face uncertainty about which cues matter. To test this, we manipulated uncertainty in a word-learning task (eye-tracking) by varying how speaker gender and consonant voicing predicted visual referents, while keeping the number of auditory labels, referents, and speakers constant across participants. Consistent with the Hick–Hyman law from adult perceptuo-motor tasks, greater uncertainty delayed 14-month-old infants' (N=50) verification of the correct referent in preferential looking-time trials and linearly increased looking to incorrect competitors. Word-learning situations with more relevant stimulus dimensions—more possible label–referent mappings and consequently more uncertainty—are more difficult, even when the auditory labels become acoustically more distinct.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Cognitive development</dc:subject><dc:subject>Language acquisition</dc:subject><dc:subject>Eye tracking</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/08h2s1j3</dc:identifier><dc:identifier>https://escholarship.org/content/qt08h2s1j3/qt08h2s1j3.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt01p710mv</identifier><datestamp>2026-07-31T13:10:43Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt01p710mv</dc:identifier><dc:title>Automatically perceiving paths through a scene</dc:title><dc:creator>Aldegheri, Giacomo</dc:creator><dc:creator>Güvensin, Bașak</dc:creator><dc:creator>Fleming, Roland W.</dc:creator><dc:date>2026-01-01</dc:date><dc:description>We effortlessly perceive not only what is present in a scene, but what actions and outcomes are possible—such as whether an agent can reach a door or an object might fall. How the visual system infers the paths to possible goal states, while respecting environmental dynamics and constraints, remains unclear. We tested this in simple maze-like scenes using a Go/No-Go task to probe which states are perceived as "leading up to" a goal. Participants pressed a button when an image showed an agent at the maze end next to a target, without being given this verbal description. Participants produced many more false alarms when the agent was closer to the goal along the maze path. By contrast, scenes matched in Euclidean distance but requiring crossing a wall did not elicit false alarms. These findings suggest scene constraints shape perceived similarity between states, motivating extensions to richer environments and domains.</dc:description><dc:subject>Perception</dc:subject><dc:subject>Representation</dc:subject><dc:subject>Spatial cognition</dc:subject><dc:subject>Vision</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/01p710mv</dc:identifier><dc:identifier>https://escholarship.org/content/qt01p710mv/qt01p710mv.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8779m95r</identifier><datestamp>2026-07-31T13:10:41Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8779m95r</dc:identifier><dc:title>Interacting Minds: Gaze Synchronization and Representational Change in Dialogue</dc:title><dc:creator>Poncelet-Romaneli, Miriam</dc:creator><dc:creator>Glasman, Thibaud</dc:creator><dc:creator>Bašnáková, Jana</dc:creator><dc:creator>Galantucci, Bruno</dc:creator><dc:creator>Toni, Ivan</dc:creator><dc:date>2026-01-01</dc:date><dc:description>We know that communicating with others can lead to mutual adaptations in the signals adopted. It is less clear whether and how interlocutors converge in their cognitive representations of communicative referents. By tracking eye movements during dialogue and probing interlocutors' representations of a set of referents before and after interaction, we captured the interactional dynamics underpinning mutual representational adaptations. In this exploratory study focused on attention, we investigated the relationship between dyads' gaze dynamics during a communication game, the Tangram task, and interaction-related changes in their representation of a set of referents, measured using explicit and implicit similarity probes. A cross-recurrence analysis of participants' gaze showed, in replication of Dale, Kirkham, and Richardson (2011), that interlocutors' gaze became increasingly synchronized as the task progressed. We further operationalized events of mutual understanding using gaze coherence and investigated the semantic and pupillary dynamics leading to these moments of mutual understanding.</dc:description><dc:subject>Interactive behavior</dc:subject><dc:subject>Pragmatics</dc:subject><dc:subject>Representation</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Eye tracking</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8779m95r</dc:identifier><dc:identifier>https://escholarship.org/content/qt8779m95r/qt8779m95r.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0xm0m3sm</identifier><datestamp>2026-07-31T13:10:30Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0xm0m3sm</dc:identifier><dc:title>True Traitors and False Friends: A Survey of Negative Dual Character Concepts</dc:title><dc:creator>Prochownik, Karolina</dc:creator><dc:creator>Almeida, Guilherme</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Dual character concepts received significant attention from experimental philosophers. They are defined as possessing two independent criteria for categorization, each associated with a distinct sense of the concept. One of these criteria is descriptive, the other is normative. Almost all examples discussed in the literature involve a positively valenced normative element. For instance: the normative criterion associated with the concept of scientist is the pursuit of empirical truth and knowledge. Presumably, pursuing empirical truth and knowledge is a good thing. But can dual character concepts also involve negatively valenced elements? For instance: there is a sense in which someone who betrays another's confidence without nurturing ill-will towards them is not a true traitor. In this paper, we report data suggesting that negatively-valenced concepts such as enemy and traitor behave very similarly, but not identically, to positively-valenced dual character concepts such as friend or a loyal person.</dc:description><dc:subject>Philosophy</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Concepts and categories</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Social cognition</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0xm0m3sm</dc:identifier><dc:identifier>https://escholarship.org/content/qt0xm0m3sm/qt0xm0m3sm.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1rb0b5fh</identifier><datestamp>2026-07-31T13:10:29Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1rb0b5fh</dc:identifier><dc:title>Retrieval of Analogous Events Belonging to the Same Schema-Governed Category: The Role of Critical Dimensions</dc:title><dc:creator>Minervino, Ricardo A</dc:creator><dc:creator>Fernández, Constanza</dc:creator><dc:creator>Ceccacci Sawicki, Luciana</dc:creator><dc:creator>Olguín, Valeria</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Analogies comparing exemplars from the same schema-governed category have received limited attention. We examined whether schema-governed category membership and similarity along a category's critical dimensions influence the retrieval of analogous events. In Experiment 1, participants were presented with base–target pairs that either shared or did not share a schema-governed category and varied in their similarity on the category's critical dimensions. Participants preferentially retrieved bases from the target's schema-governed category and, within that category, favored bases that were more similar to the target along critical dimensions. Experiment 2 replicated the effect of dimensional similarity using the retrieval of previously encoded autobiographical events. Together, these findings indicate that analogical retrieval is jointly constrained: schema-governed category membership operates as a coarse structural filter, whereas similarity along critical dimensions of a shared category imposes a finer-grained selection among eligible candidates.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Analogy</dc:subject><dc:subject>Concepts and categories</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Representation</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1rb0b5fh</dc:identifier><dc:identifier>https://escholarship.org/content/qt1rb0b5fh/qt1rb0b5fh.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt87z3n562</identifier><datestamp>2026-07-31T13:10:28Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt87z3n562</dc:identifier><dc:title>Simulating Cross-Linguistic Influence in Bilingual Reading - a Knowledge Distillation Approach</dc:title><dc:creator>Winther, Irene Elisabeth</dc:creator><dc:creator>Frank, Stefan</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Cross-linguistic influence - the effect of between-language (dis)similarities on bilingual processing - affects both native (L1) and second-language (L2) processing, as well as L2 predictive processing, suggesting that expectations in one language can be shaped by the other. We compare bilingual language models where L1 (Dutch) affects L2 (English) only implicitly through mixed training data or pre-training, to models that explicitly import L1-specific next-word predictions during bilingual learning through knowledge distillation to test whether importing explicit L1 expectations into L2 learning improves a model's predictions of L2 reading times. On Dutch-English bilingual reading data, L2 reading is better accounted for by monolingual surprisal overall, but bilingual models with explicit L1 expectations outperform bilingual models without. Additionally, L1 reading is better predicted by bilingual than monolingual models. Our findings indicate that explicit L1 expectations improve bilingual models' account of L2 reading behaviour and that bilingual models capture aspects of bilingual L1 reading which monolingual models do not.</dc:description><dc:subject>Language acquisition</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Predictive Processing</dc:subject><dc:subject>Reading</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Neural Networks</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/87z3n562</dc:identifier><dc:identifier>https://escholarship.org/content/qt87z3n562/qt87z3n562.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5rq0s3xj</identifier><datestamp>2026-07-31T13:10:20Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5rq0s3xj</dc:identifier><dc:title>Cognitive Change Without Linguistic Change: The Rise of Egocentric Frames of Reference in the Hai||om</dc:title><dc:creator>Kısa, Yağmur Deniz</dc:creator><dc:creator>Stengelin, Roman</dc:creator><dc:creator>Maurits, Luke</dc:creator><dc:creator>Haun, Daniel Benjamin Moritz</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Human cultures differ in how they think about space: some primarily use egocentric frames of reference (FoR), thinking about space in relation to the body, while others privilege geocentric FoR, thinking about space in relation to the environment. The origins of this cognitive diversity remain largely unknown. Here, we provide evidence suggesting an ongoing shift in spatial thinking—but not language—within a culture, offering insight into these origins. Hai||om people, a rural forager community in Namibia, have traditionally preferred geocentric FoR in cognition and language. Comparing new to historical data from the same community, we found that contemporary Hai||om show a greater preference for egocentric FoR, suggesting an egocentric shift in their cognition. Strikingly, we document no such shift in their language, suggesting language alone cannot account for cognitive diversity in spatial frames. We propose material culture, rather than language, as a key driver of diversity in spatial thought.</dc:description><dc:subject>Anthropology</dc:subject><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Concepts and categories</dc:subject><dc:subject>Culture</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Spatial cognition</dc:subject><dc:subject>Cross-cultural analysis</dc:subject><dc:subject>Cross-linguistic analysis</dc:subject><dc:subject>Field studies</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5rq0s3xj</dc:identifier><dc:identifier>https://escholarship.org/content/qt5rq0s3xj/qt5rq0s3xj.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7qd5p8qg</identifier><datestamp>2026-07-31T13:10:18Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7qd5p8qg</dc:identifier><dc:title>Hybrid Cognition in the Era of Human-AI Collaboration</dc:title><dc:creator>Rocca, Roberta</dc:creator><dc:creator>Street, Winnie</dc:creator><dc:creator>Keeling, Geoff</dc:creator><dc:creator>Kim, Junsol</dc:creator><dc:creator>Kosmyna, Nataliya</dc:creator><dc:creator>Moore, Jared</dc:creator><dc:creator>Smart, Paul Richard</dc:creator><dc:creator>Wykowska, Agnieszka</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Unlike previous digital technologies, state-of-the-art large language models (LLMs) exhibit capabilities that span the full cognitive hierarchy, from low-level linguistic processing, to
high-level functions such as social reasoning and metacognitive monitoring (Coda-Forno et al., 2024; Didolkar et al., 2024; Street et al., 2024). For these reasons, humans are
increasingly collaborating with LLMs for complex cognitive tasks via conversational chat interfaces, and LLMs are increasingly studied as cognitive systems in their own right by
cognitive scientists, psychologists and philosophers of mind (Hagendorff et al., 2023). Yet, the dynamics of human-LLM collaborations remain understudied.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Distributed cognition</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:subject>Machine learning</dc:subject><dc:subject>Social cognition</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7qd5p8qg</dc:identifier><dc:identifier>https://escholarship.org/content/qt7qd5p8qg/qt7qd5p8qg.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt42b3r6ms</identifier><datestamp>2026-07-31T13:10:05Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt42b3r6ms</dc:identifier><dc:title>Fact or fiction? How repeated claims influence belief updating</dc:title><dc:creator>Sanna, Greta Arancia</dc:creator><dc:creator>Lagnado, David</dc:creator><dc:creator>Mercier, Hugo</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Individuals often encounter the same claims from multiple sources in complex informational environments. Whether such repetition is treated as independent evidence or as redundant testimony depends on assumptions about source dependence. The present study investigates how prior beliefs about the claims shape perceptions of source dependence and how these perceptions influence belief updating. Using a preregistered experimental design, participants evaluated repeated claims presented in vignettes about an online forum. Participants reported both belief change and perceived dependence among sources. We find that lower prior belief in a claim leads to stronger perceptions of source dependence, indicating that prior beliefs shape not only initial judgments but also inferences about the structure of the informational environment. Participants also tended to treat dependence as a global property applying to several sources in the environment. Together, these findings suggest that belief updating reflects rational simplification of informational structure, with important implications for the persistence of belief polarisation.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/42b3r6ms</dc:identifier><dc:identifier>https://escholarship.org/content/qt42b3r6ms/qt42b3r6ms.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1mj18278</identifier><datestamp>2026-07-31T13:10:01Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1mj18278</dc:identifier><dc:title>From Insight to Outsight: When Solutions Are Enacted before They Are Recognized</dc:title><dc:creator>Vallee-Tourangeau, Frederic</dc:creator><dc:creator>Soderberg, Christina</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Creative breakthroughs are typically described as sudden mental events, the "Aha!" moment.. Yet this formulation may fundamentally mischaracterize the process. Rather than solutions being discovered in the mind then implemented in the world, they may emerge through engagement with manipulable objects. We report an experiment comparing interactive and non-interactive conditions across two insight problems (Triangle of Coins, 10 Circles). Survival analyses confirmed that interactivity enhanced solution rates and reduced latencies for both problems. More critically, frame-by-frame multimodal coding of the video data (via ELAN) revealed the temporal coordination between speech, action, and evolving solution prototypes. Detailed analyses of two solution episodes demonstrate how restructuring can occur in the physical configuration of the problem rather than in the mind. These cases illustrate "outsight": solutions recognized after being enacted. By making the solution process visible, multimodal behavioural coding produces qualitative data that challenge cognitivist assumptions about how creative breakthroughs happen.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Creativity</dc:subject><dc:subject>Problem Solving</dc:subject><dc:subject>Qualitative Analysis</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1mj18278</dc:identifier><dc:identifier>https://escholarship.org/content/qt1mj18278/qt1mj18278.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2g29s2vj</identifier><datestamp>2026-07-31T13:10:00Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2g29s2vj</dc:identifier><dc:title>LLMs Electrified: Early and deep layers differentially correlate with the N400 and P600 in language comprehension</dc:title><dc:creator>Krieger, Benedict</dc:creator><dc:creator>Crocker, Matthew W</dc:creator><dc:creator>Brouwer, Harm</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Recent research has examined the extent to which large language models (LLMs) can model the temporal dynamics of online language comprehension, as indexed by the N400 and P600 components of the event-related potential (ERP) signal.
To better understand whether the internal representations of LLMs are consistent with distinct stages of comprehension, 
we employ representational similarity analysis (RSA) on a German ERP study, that found the N400 to be sensitive to association and expectancy, and the P600 to be sensitive to expectancy alone. We find that earlier layers show a stronger correlation with association, whereas deeper layers are more strongly correlated to expectancy. Similarly, correlations to the N400 are stronger at earlier and intermediate layers, consistent with its sensitivity to association, while correlations with both the N400 and P600 continue to increase in deeper layers, reflecting the influence of expectancy on both components. These results are consistent with independent stages of processing proposed by neurocognitive theories, such as Retrieval-Integration theory, suggesting that LLMs may contribute to our understanding of the temporal dynamics of language comprehension - as indexed by ERPs - at a more mechanistic level.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Electroencephalography (EEG)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2g29s2vj</dc:identifier><dc:identifier>https://escholarship.org/content/qt2g29s2vj/qt2g29s2vj.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5hf3h2b7</identifier><datestamp>2026-07-31T13:09:58Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5hf3h2b7</dc:identifier><dc:title>Acquisition of words and case markers in a novel language: Artificial language learning by Korean and English speakers</dc:title><dc:creator>Nahm, Susie</dc:creator><dc:creator>Bundgaard-Nielsen, Rikke L.</dc:creator><dc:creator>Wang, Yizhou</dc:creator><dc:date>2026-01-01</dc:date><dc:description>The acquisition of second language morphosyntactic features, such as case systems, is particularly challenging for adult learners, and the extent to which these difficulties are shaped by learners' first language remains a core question in theories of language acquisition. The present study explores the acquisition of lexical semantics and morphosyntax of a case-marking artificial language, Katopu, in an artificial language learning task with Korean-speaking and English-speaking adults. The results showed that both groups were able to acquire Katopu through the exposure to input and feedback, regardless of L1–L2 (dis)similarities and in the absence of explicit instruction, exhibiting comparable learning trajectories in accuracy and response time. Response time data further suggested that the two groups shared a similar processing pattern that semantic and syntactic knowledge were processed using separate mechanisms. The study highlights that sufficient input and feedback can effectively support language acquisition regardless of learners' language background.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Development</dc:subject><dc:subject>Language acquisition</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5hf3h2b7</dc:identifier><dc:identifier>https://escholarship.org/content/qt5hf3h2b7/qt5hf3h2b7.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9xv918pd</identifier><datestamp>2026-07-31T13:09:57Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9xv918pd</dc:identifier><dc:title>Cognitive Modeling of Shogi: Effects of Relative Representations and Resource Constraints</dc:title><dc:creator>Muramatasu, Kimiya</dc:creator><dc:creator>Morita, Junya</dc:creator><dc:date>2026-01-01</dc:date><dc:description>We model shogi move selection in ACT-R to test how expertise depends on representation and cognitive resource constraints. The model integrates visual exploration, a capacity-limited imaginal stack, and declarative memory retrieval. Beyond absolute board encoding, we implement king-centered relative representations (3$\times$3 local patterns) intended for endgame reasoning. Simulations crossed (i) relative representations on/off and (ii) imaginal capacity (9 vs. 18), while expertise was manipulated by storing expert vs. novice game records. Expert advantage was conditional: it was stable when relative representations were available, but collapsed (and sometimes reversed) when relative representations were absent under low capacity, accompanied by a sharp drop in retrieval use and earlier convergence of game states. Larger capacity partially compensated for missing relative representations. These results imply that expertise in this domain emerges from representation $\times$ resource coupling, not experience alone.</dc:description><dc:subject>Cognitive architectures</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9xv918pd</dc:identifier><dc:identifier>https://escholarship.org/content/qt9xv918pd/qt9xv918pd.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt18t189gh</identifier><datestamp>2026-07-31T13:09:56Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt18t189gh</dc:identifier><dc:title>Hán Dān Xué Bú (Mimicry) or Qīng Chū Yú Lán (Mastery)? A Cognitive Perspective on Reasoning Distillation in Large Language Models</dc:title><dc:creator>Hu, Yueqing</dc:creator><dc:creator>Peng, Xinyang</dc:creator><dc:creator>Peng, Shuting</dc:creator><dc:creator>Wang, Hanqi</dc:creator><dc:creator>Wang, Tianhong</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Recent Large Reasoning Models trained via reinforcement learning exhibit a "natural" alignment with human cognitive costs. However, we show that reasoning distillation via Supervised Fine-Tuning (SFT) fails to transmit this cognitive logic, leading to a "Cargo Cult" where students only mimic length. Testing the Hán Dān Xué Bú (Superficial Mimicry) hypothesis across 14 models, we identify a "Functional Alignment Collapse": while teacher models mirror human difficulty scaling (r = 0.64), distilled students significantly degrade this alignment (r = 0.34). Crucially, they exhibit "Negative Transfer," dropping below their own pre-distillation baselines. Our analysis reveals a "Linear Inflation Law" where students apply a constant verbosity multiplier (≈ 2.44) regardless of complexity. Consequently, distillation decouples computational cost from cognitive demand, revealing that human-like cognition is an emergent property of active reinforcement, not passive imitation.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Learning</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/18t189gh</dc:identifier><dc:identifier>https://escholarship.org/content/qt18t189gh/qt18t189gh.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5zq8h8mc</identifier><datestamp>2026-07-31T13:09:55Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5zq8h8mc</dc:identifier><dc:title>Meaning-Making as Symmetry-Breaking:  Spectral Thermodynamics of Emergent Communication</dc:title><dc:creator>Hallajian, Amir Homayun</dc:creator><dc:creator>Koch, Saskia</dc:creator><dc:creator>Bašnáková, Jana</dc:creator><dc:creator>Stolk, Arjen</dc:creator><dc:creator>Toni, Ivan</dc:creator><dc:date>2026-01-01</dc:date><dc:description>How do interlocutors achieve mutual understanding when communicative mappings are not given in advance? We propose that meaning-making is a symmetry-breaking constructive process: through interaction, dyads compress an open space of communicative possibilities into a low-dimensional set of shared alternatives, namely dyad-specific signal-referent relations that enable coordination. We test this account in 69 dyads using a real-time semiotic game in which participants invent and stabilize dyad-specific communicative conventions, modeling signal–referent relations with spectral graph thermodynamics. Successful dyads exhibited dimensional compression of their signaling space: intrinsic dimensionality was reduced sixfold relative to random networks, reflecting the emergence of stabilized dyad-specific conventions. These dyads also showed lower thermodynamic efficiency, indicating that constructing shared signal–referent structure carries an entropy cost. Thermodynamic and geometric measures converged at a mesoscale diffusion regime, where relational constraints operate. These findings suggest that mutual understanding depends on actively constructing a shared, low-dimensional communicative structure through interaction.</dc:description><dc:subject>Computer Science</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Complex systems</dc:subject><dc:subject>Distributed cognition</dc:subject><dc:subject>Group Behaviour</dc:subject><dc:subject>Interactive behavior</dc:subject><dc:subject>Representation</dc:subject><dc:subject>Situated cognition</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5zq8h8mc</dc:identifier><dc:identifier>https://escholarship.org/content/qt5zq8h8mc/qt5zq8h8mc.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt75c0r9rx</identifier><datestamp>2026-07-31T13:09:53Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt75c0r9rx</dc:identifier><dc:title>Emergent social transmission of model-based representations without inference</dc:title><dc:creator>Keßler, Silja</dc:creator><dc:creator>Bautista-Salinero, Miriam</dc:creator><dc:creator>Tennie, Claudio</dc:creator><dc:creator>Wu, Charley M</dc:creator><dc:date>2026-01-01</dc:date><dc:description>How do people acquire rich, flexible knowledge about their environment from others despite limited cognitive capacity? Humans are often thought to rely on computationally costly mentalizing, such as inferring others' beliefs. In contrast, cultural evolution emphasizes that behavioral transmission can be supported by simple social cues. Using reinforcement learning simulations, we show how minimal social learning can indirectly transmit higher-level representations. We simulate a naive agent searching for rewards in a reconfigurable environment, learning either alone or by observing an expert—crucially, without inferring mental states. Instead, the learner heuristically selects actions or boosts value representations based on observed actions. Our results demonstrate that these cues bias the learner's experience, causing its representation to converge toward the expert's. Model-based learners benefit most from social exposure, showing faster learning and more expert-like representations. These findings show how cultural transmission can arise from simple, non-mentalizing processes exploiting asocial learning mechanisms.</dc:description><dc:subject>Interactive behavior</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Agent-based Modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/75c0r9rx</dc:identifier><dc:identifier>https://escholarship.org/content/qt75c0r9rx/qt75c0r9rx.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt113553v6</identifier><datestamp>2026-07-31T13:09:53Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt113553v6</dc:identifier><dc:title>Relating Online Word Predictions and Offline Probability Judgments: Partial Evidence for Shared Probabilistic Processes</dc:title><dc:creator>Zhang, Yutong</dc:creator><dc:creator>Husband, Edward Matthew</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Probabilistic reasoning has been proposed to underlie both word prediction in language comprehension and probability judgment in decision-making, yet the connection between the two cognitive processes remains unclear. This study investigates whether word predictions and probability judgments rely on shared probabilistic processes by examining unpacking effects. An offline probability judgment task and an online self-paced reading task were used to test probability shifts in each task, and further analyses examined the relationship between measures across tasks. Results show that atypical unpacking reliably led to lower probability judgments and slower reading times, whereas typical unpacking didn't consistently lead to higher probability judgments or faster reading times. Interestingly, item-level changes in probability judgments were correlated with changes in reading times only for atypical unpackings. These findings provide partial evidence that word prediction and probability judgment draw on a shared foundation of probabilistic reasoning.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Predictive Processing</dc:subject><dc:subject>Reasoning</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/113553v6</dc:identifier><dc:identifier>https://escholarship.org/content/qt113553v6/qt113553v6.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt82t271r0</identifier><datestamp>2026-07-31T13:09:19Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt82t271r0</dc:identifier><dc:title>Unveiling Unwritten Curricula: Enhancing Junior Faculty Development in Academic Emergency Medicine</dc:title><dc:creator>Bierowski, Abagayle</dc:creator><dc:creator>Morrone, Casey</dc:creator><dc:creator>Hoag, Erin</dc:creator><dc:creator>Ghei, Ridhima</dc:creator><dc:creator>Pasirstein, Michael</dc:creator><dc:creator>Blaszczak, Julie</dc:creator><dc:creator>Papanagnou, Dimitrios</dc:creator><dc:date>2026-06-28</dc:date><dc:description>Introduction: The transition from resident to junior faculty in academic emergency medicine (EM) may be shaped not only by formal training and institutional policies but also by the “unwritten curriculum,” a set of norms and expectations embedded in institutional culture. However, the unwritten curriculum and its potential to impact junior faculty development remains largely unexplored. Little is known about how junior faculty perceive, experience, and navigate these informal expectations, or the formal and informal structures that influence this process. In this study we aimed to explore junior faculty members’ experiences with the unwritten curriculum in academic EM, with a focus on how they interpret and navigate institutional norms and identify supports and barriers encountered during their early faculty development.
Methods: Within their first five years, EM faculty at academic institutions distinct from their residency training sites completed an anonymous, iteratively developed survey designed to explore experiences with the unwritten curriculum, informed by Schlossberg’s transition theory framework. The primary analytic focus was identification of themes describing how junior faculty perceive and navigate implicit institutional norms. Open-ended responses underwent thematic analysis using a structured codebook, applied by two independent reviewers with consensus-based coding and adjudication by a third when disagreements arose.&amp;nbsp;
Results: A total of 35 junior faculty members completed the survey. All participants indicated influence of the unwritten curriculum on their professional development. Major themes identified include the unspoken importance of mentorship and peer guidance; implicit expectations and norms surrounding engagement, productivity, and visibility; work-life integration; cultural adjustment; scholarly output; and gaps in onboarding, feedback, and role clarity. Participants emphasized challenges in navigating departmental politics, understanding hierarchical nuances, and balancing unspoken expectations for committee involvement and informal social participation. Additionally, unclear feedback processes, inconsistent evaluation expectations, and cultural norms for active engagement were noted as barriers to integration and professional growth.&amp;nbsp;
Conclusion: Junior faculty in academic EM described the unwritten curriculum as a meaningful influence on their early faculty experience. Within this sample, participants highlighted mentorship, feedback transparency, and structured faculty development as potential mechanisms to support navigation of implicit expectations during the transition to junior faculty. These findings reflect individual perceptions rather than program characteristics and should be interpreted within the context of the study’s scope.</dc:description><dc:subject>junior faculty</dc:subject><dc:subject>junior faculty development</dc:subject><dc:subject>unwritten curriculum</dc:subject><dc:subject>Mentorship</dc:subject><dc:subject>Career development</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/82t271r0</dc:identifier><dc:identifier>https://escholarship.org/content/qt82t271r0/qt82t271r0.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.50856</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5hb6f7ss</identifier><datestamp>2026-07-31T13:08:14Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5hb6f7ss</dc:identifier><dc:title>Association of Pregnancy Documentation with Radiological Imaging in the Emergency Department</dc:title><dc:creator>Campbell, Angela G.</dc:creator><dc:creator>Knies, Austin</dc:creator><dc:creator>Musey, Paul</dc:creator><dc:creator>Ryckman, Kelli K.</dc:creator><dc:creator>Gharbi, Sami</dc:creator><dc:creator>Wiehe, Sarah</dc:creator><dc:date>2026-06-28</dc:date><dc:description>Introduction: Emergency department (ED) encounters are common for pregnant individuals in the United States. Radiological imaging is frequently ordered for diagnostics in the ED but generally avoided during pregnancy. This study examines missed pregnancy documentation and the association of pregnancy documentation with radiological imaging among individuals who have an ED encounter while pregnant.
Methods: We used a retrospective cohort of pregnant individuals who had a live birth in an urban county in Indiana 2022–2023. We pulled all ED encounters occurring between 42-279 days of gestation (N = 4,597) that did not occur within five days of delivery. Our primary outcome measure was pregnancy documentation in the patient’s electronic health record and receipt of radiological imaging (radiograph and computed tomography) of the chest, abdomen or spine. We used descriptive statistics and logistic regressions for the analysis.&amp;nbsp;
Results:&amp;nbsp;Pregnancy was not documented in 273 of the 4,597 encounters (5.9%). A larger percentage of encounters with missed pregnancy documentation occurred with non-Hispanic Black patients (162/273, 59.3%) compared to non-Hispanic White patients (75/273, 27.5%); &amp;nbsp;(odds ratio 1.70, 95% CI, 1.21-2.41) for non-Hispanic Blacks relative to non-Hispanic Whites. Radiological imaging occurred in 147 of the 4,324 encounters with a documented pregnancy (3.4%), compared with &amp;nbsp;30 of the 273 encounters where the pregnancy was not documented (11.0%). Missed pregnancy documentation was associated with 2.11 times (95%CI, 1.30-3.42) the odds of receiving radiological imaging when adjusted for confounders.
Conclusion: Missed pregnancy documentation occurred in 5.9% of emergency encounters with pregnant patients. While this is uncommon, it is still significantly associated with receipt of radiological imaging. Disparities in odds of pregnancy documentation in the ED may contribute to differences in maternal outcomes and highlights the necessity of ensuring equitable care for all pregnant individuals.</dc:description><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5hb6f7ss</dc:identifier><dc:identifier>https://escholarship.org/content/qt5hb6f7ss/qt5hb6f7ss.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.50731</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6tq0s3zm</identifier><datestamp>2026-07-31T13:07:39Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6tq0s3zm</dc:identifier><dc:title>Temporal Trends in Mortality from Gunshot Wounds for Emergency Medical Services Compared to Private Vehicle Transport</dc:title><dc:creator>Muller, Gregory</dc:creator><dc:creator>Miller, Kate</dc:creator><dc:creator>Matheson, Loretta</dc:creator><dc:creator>Wang, Xinhang</dc:creator><dc:creator>Gharahbaghian, Laleh</dc:creator><dc:creator>D'Souza, Peter</dc:creator><dc:creator>Gautreau, Marc</dc:creator><dc:creator>Yiadom, Maame Yaa A.B.</dc:creator><dc:date>2026-06-28</dc:date><dc:description>Introduction: Despite expectations that emergency medical services (EMS) transport following a gunshot wound (GSW) would improve 30-day mortality compared to transport by private vehicle, the opposite has been found in several studies. In response, EMS has adopted interventions over the past decade to reduce patient mortality. We compared mortality of GSW patients transported by EMS versus private vehicle as these field practice advancements became widespread.&amp;nbsp;
Methods: We conducted a retrospective cohort study using data from the National Trauma Data Bank (NTDB) from 2007–2021. We included adults (≥ 16 years of age) with GSW injuries transported solely by ground EMS (≤ 2 hours) or by personal vehicle to a Level I or Level II trauma center. The primary outcome was 30-day in-hospital mortality. We also aimed to describe demographic changes over time in these patient populations. A multivariable logistic regression model was developed to estimate the adjusted odds ratio (aOR) of mortality, with demographic and clinical controls. To describe change over time, we performed the multivariable logistic regression model separately within three-year periods. To determine whether the change was significant, we performed the multivariable logistic regression model with the same controls and the addition of an interaction term for transport mode with year group.
Results: Of 355,913 patients, 83.7% were transported by EMS and 16.3% by private vehicle. Unadjusted mortality was consistently higher for EMS patients, ranging from 18.8% (vs 3.7% private vehicle) in 2007–2009 to 19.3% (vs 4.3% private vehicle) in 2019–2021. The aOR for mortality in the EMS cohort decreased from 2.2 (95% CI, 1.7–2.8) in 2007–2009 to 1.6 (95% CI, 1.3–1.8) in 2019–2021. However, this temporal trend was not statistically significant (P = .17).
Conclusion: Our analysis suggests EMS transport remains associated with higher odds of mortality compared to private vehicle transport for patients with gunshot wounds. This may suggest that improvements in EMS clinical and transport practices have not yet proved sufficient to reduce relative mortality, or that there may be differences in injury severity or type of injury that are not adequately accountable from the NTDB data.</dc:description><dc:subject>emergency medical services</dc:subject><dc:subject>Trauma</dc:subject><dc:subject>transport</dc:subject><dc:subject>Mortality</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6tq0s3zm</dc:identifier><dc:identifier>https://escholarship.org/content/qt6tq0s3zm/qt6tq0s3zm.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.53151</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1kx2f9mh</identifier><datestamp>2026-07-31T13:07:05Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1kx2f9mh</dc:identifier><dc:title>Potentially Avoidable Spine Transfers to a Level I Trauma Center: A Five-Year Retrospective Analysis</dc:title><dc:creator>Marks, Clifford M.</dc:creator><dc:creator>Burke, Ryan C.</dc:creator><dc:creator>Rasner, Cody</dc:creator><dc:creator>Stippler, Martina</dc:creator><dc:creator>Rosen, Carlo L.</dc:creator><dc:date>2026-06-28</dc:date><dc:description>Background: Emergency physicians frequently transfer patients with spine pathology to tertiary- care centers, although research suggests many are discharged without requiring a procedure or specialized imaging. Such transfers consume resources and remove patients from their families and communities. Better understanding these transfers might help identify which patients can receive care without transfer.&amp;nbsp;
Methods: This was a retrospective cohort study of transfers for spine evaluation to an urban, tertiary-care, Level I trauma center from October 1, 2017–October 1, 2022. Transfers were defined as necessary if the patient a) went to the operating room (OR) within 12 hours of arrival, b) had a neurologic magnetic resonance image (MRI), c) was admitted to an intensive care unit from the emergency department (ED), or d) was admitted to either neurology or a surgical service (including neurosurgery and orthopedics, which share spine coverage in the study hospital).&amp;nbsp;
Results: The study included 1,918 transfers with a spine evaluation, of which 617 (32.2%) were deemed potentially avoidable. Just 3.3% of all transfers went to the OR within 12 hours of receiving ED arrival, 45.7% had a neurologic MRI at the receiving hospital, and 36.6% were admitted to a neurology or a surgical service. For all transfers, 17.7% were discharged directly from the ED, 16.8% were placed in observation and then discharged, 6.8% were placed in observation and then admitted, and 58.7% were admitted to inpatient from the ED. The average ED length of stay for necessary spine transfers was 15.4 hours vs 16.6 hours for potentially avoidable transfers (P = .07). Compared to the overall rate of necessary transfers (67.8%), patients with the following conditions had a decreased incidence of necessary transfers: cervical spine fractures (62% necessary, P = .008), lumbar spine/sacrum/coccyx fractures (53.5% necessary, P &amp;lt; .001), and disc disorders (51.4% necessary, P = .003). Patients diagnosed with cervical spinal cord lesions (91.7% necessary, P = .01) had an increased incidence of necessary transfers.
Conclusion: Nearly one-third of spine evaluation transfers were potentially avoidable. Patients transferred for spine evaluation experienced prolonged ED stays, creating challenges for both receiving hospitals and patients. Further research is needed to prospectively identify patients who do not require tertiary care and to study methods for managing them in community settings.</dc:description><dc:subject>Spine</dc:subject><dc:subject>Trauma</dc:subject><dc:subject>transfers</dc:subject><dc:subject>resource utilization</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1kx2f9mh</dc:identifier><dc:identifier>https://escholarship.org/content/qt1kx2f9mh/qt1kx2f9mh.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.47485</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7w98q4gh</identifier><datestamp>2026-07-31T13:05:27Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7w98q4gh</dc:identifier><dc:title>Dynamo States with Strikingly Different Symmetries Coexisting in Global Solar Simulations</dc:title><dc:creator>Matilsky, Loren I</dc:creator><dc:creator>Toomre, Juri</dc:creator><dc:date>2020-01-01</dc:date><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7w98q4gh</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1007/978-3-030-55336-4_27</dc:identifier><dc:type>chapter</dc:type></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7xh9z9dj</identifier><datestamp>2026-07-31T13:04:30Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7xh9z9dj</dc:identifier><dc:title>Single Question vs Ongoing Violence Assessment Tool for Intimate Partner Violence Screening</dc:title><dc:creator>Nonawzki, Gretchen</dc:creator><dc:creator>Zhou, Zhengqiu</dc:creator><dc:creator>Mohan, Maureen</dc:creator><dc:creator>Slowey, Saria</dc:creator><dc:creator>Carden, Donna</dc:creator><dc:creator>Hoelle, Robyn</dc:creator><dc:date>2026-06-17</dc:date><dc:description>Introduction: Intimate partner violence (IPV) represents a pervasive and costly public health issue. Many IPV victims seek care in the emergency department (ED) due to injuries or related medical complaints; yet a substantial number of cases remain undetected. The challenge lies in implementing effective screening tools within the demanding environment of an ED. In this study we aimed to assess the efficacy of two brief IPV screening tools— the single question, “Have you been hit, kicked, punched, or otherwise hurt by someone in the past year?” and the 4-item Ongoing Violence Assessment Tool—and to compare them to the more comprehensive Index of Spouse Abuse, a validated 30-item survey that is considered the gold standard for IPV assessment. Our objective was to identify improved strategies for IPV screening in the busy ED setting.
Methods: In this prospective study, every third English-speaking female patient 18-55 years of age presenting to our ED triage was invited to participate. Each participating patient was sequentially assigned to either the single question or the ongoing assessment screening group. Both groups completed feedback surveys about their experiences and the Index of Spouse Abuse survey. We used chi-square tests to compare categorical variables, and we used frequency tables to calculate the sensitivity, specificity, positive predictive value, and negative predictive value of each IPV screening tool. We compared test characteristics between the Ongoing Violence Asessment Tool or the single question screening tool to the Index of Spouse Abuse using the Fisher exact test. Mean duration was compared using two-tailed Student t-tests. The primary outcome was the sensitivity and specificity of the single question assessment. and the 4-item Ongoing Violence Assessment Tool, using the Index of Spouse Abuse as the gold standard for IPV screening. Secondary outcomes were to record the length of time needed to screen with the single question assessment and the Ongoing Violence Assessment Tool and to collect participant feedback on the two screening tools.
Results: A total of 400 participants were enrolled in the study and completed the designated surveys. Screening time was significantly shorter in the single question group (median 6 seconds) compared to the ongoing assessment group (median13 seconds; P &amp;lt; .001). Feedback surveys did not reveal significant differences between the two groups. When compared to the Index of Spouse Abuse, the single question tool exhibited sensitivity of 53.3% and specificity of 94.1%, while the ongoing assessment demonstrated slightly higher sensitivity levels of 75.0% and lower specificity of 92.8%. For the single question assesssment, the positive predictive value was 42.1% and negative predictive value was 96.1%. For the Ongoing Violence Assessment Tool, the positive predictive value was 40.1% and the negative predictive value was 98.2%.
Conclusion:&amp;nbsp;The 7-second reduction in overall IPV screening time for the single question compared to the 4-item Ongoing Violence Assessment Tool likely has little clinical benefit, especially with its low sensitivity. Further studies are needed to identify the optimal screening tool for intimate partner violence in the emergency department.</dc:description><dc:subject>intimate partner violence</dc:subject><dc:subject>intimate partner violence screening</dc:subject><dc:subject>emergency department</dc:subject><dc:subject>ongoing violence assessment tool</dc:subject><dc:subject>single question</dc:subject><dc:subject>index of spouse abuse</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7xh9z9dj</dc:identifier><dc:identifier>https://escholarship.org/content/qt7xh9z9dj/qt7xh9z9dj.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.49021</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8xk38608</identifier><datestamp>2026-07-31T13:00:49Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8xk38608</dc:identifier><dc:title>Endovascular Biopsy: In Vivo Cerebral Aneurysm Endothelial Cell Sampling and Gene Expression Analysis</dc:title><dc:creator>Cooke, Daniel L</dc:creator><dc:creator>McCoy, David B</dc:creator><dc:creator>Halbach, Van V</dc:creator><dc:creator>Hetts, Steven W</dc:creator><dc:creator>Amans, Matthew R</dc:creator><dc:creator>Dowd, Christopher F</dc:creator><dc:creator>Higashida, Randall T</dc:creator><dc:creator>Lawson, Devon</dc:creator><dc:creator>Nelson, Jeffrey</dc:creator><dc:creator>Wang, Chih-Yang</dc:creator><dc:creator>Kim, Helen</dc:creator><dc:creator>Werb, Zena</dc:creator><dc:creator>McCulloch, Charles</dc:creator><dc:creator>Hashimoto, Tomoki</dc:creator><dc:creator>Su, Hua</dc:creator><dc:creator>Sun, Zhengda</dc:creator><dc:date>2018-02-01</dc:date><dc:description>There is limited data describing endothelial cell (EC) gene expression between aneurysms and arteries partly because of risks associated with surgical tissue collection. Endovascular biopsy (EB) is a lower risk alternative to conventional surgical methods, though no such efforts have been attempted for aneurysms. We sought (1) to establish the feasibility of EB to isolate viable ECs by fluorescence-activated cell sorting (FACS), (2) to characterize the differences in gene expression by anatomic location and rupture status using single-cell qPCR, and (3) to demonstrate the utility of unsupervised clustering algorithms to identify cell subpopulations. EB was performed in 10 patients (5 ruptured, 5 non-ruptured). FACS was used to isolate the ECs and single-cell qPCR was used to quantify the expression of 48 genes. Linear mixed models and exploratory multilevel component analysis (MCA) and self-organizing maps (SOMs) were performed to identify possible subpopulations of cells. ECs were collected from all aneurysms and there were no adverse events. A total of 437 ECs was collected, 94 (22%) of which were aneurysmal cells and 319 (73%) demonstrated EC-specific gene expression. Ruptured aneurysm cells, relative controls, yielded a median p value of 0.40 with five genes (10%) with p values &amp;lt;&amp;nbsp;0.05. The five genes (TIE1, ENG, VEGFA, MMP2, and VWF) demonstrated uniformly reduced expression relative the remaining ECs. MCA and SOM analyses identified a population of outlying cells characterized by cell marker gene expression profiles different from endothelial cells. After removal of these cells, no cell clustering based on genetic co-expressivity was found to differentiate aneurysm cells from control cells. Endovascular sampling is a reliable method for cell collection for brain aneurysm gene analysis and may serve as a technique to further vascular molecular research. There is utility in combining mixed and clustering methods, despite no specific subpopulation identified in this trial.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:subject>3202 Clinical Sciences (for-2020)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Cerebrovascular (rcdc)</dc:subject><dc:subject>Human Genome (rcdc)</dc:subject><dc:subject>Genetics (rcdc)</dc:subject><dc:subject>Stroke (rcdc)</dc:subject><dc:subject>Biotechnology (rcdc)</dc:subject><dc:subject>Cardiovascular (hrcs-hc)</dc:subject><dc:subject>Biopsy (mesh)</dc:subject><dc:subject>Endoglin (mesh)</dc:subject><dc:subject>Endothelial Cells (mesh)</dc:subject><dc:subject>Endothelium</dc:subject><dc:subject>Vascular (mesh)</dc:subject><dc:subject>Endovascular Procedures (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Flow Cytometry (mesh)</dc:subject><dc:subject>Gene Expression (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Intracranial Aneurysm (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Matrix Metalloproteinase 2 (mesh)</dc:subject><dc:subject>Receptor</dc:subject><dc:subject>TIE-1 (mesh)</dc:subject><dc:subject>Vascular Endothelial Growth Factor A (mesh)</dc:subject><dc:subject>von Willebrand Factor (mesh)</dc:subject><dc:subject>Cerebral aneurysm</dc:subject><dc:subject>Vascular biology</dc:subject><dc:subject>Gene expression</dc:subject><dc:subject>Cerebrovascular procedures</dc:subject><dc:subject>Endothelium</dc:subject><dc:subject>Endothelium</dc:subject><dc:subject>Vascular (mesh)</dc:subject><dc:subject>Endothelial Cells (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Intracranial Aneurysm (mesh)</dc:subject><dc:subject>Receptor</dc:subject><dc:subject>TIE-1 (mesh)</dc:subject><dc:subject>Vascular Endothelial Growth Factor A (mesh)</dc:subject><dc:subject>von Willebrand Factor (mesh)</dc:subject><dc:subject>Biopsy (mesh)</dc:subject><dc:subject>Flow Cytometry (mesh)</dc:subject><dc:subject>Gene Expression (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Matrix Metalloproteinase 2 (mesh)</dc:subject><dc:subject>Endovascular Procedures (mesh)</dc:subject><dc:subject>Endoglin (mesh)</dc:subject><dc:subject>Cerebral aneurysm</dc:subject><dc:subject>Cerebrovascular procedures</dc:subject><dc:subject>Endothelium</dc:subject><dc:subject>Gene expression</dc:subject><dc:subject>Vascular biology</dc:subject><dc:subject>Biopsy (mesh)</dc:subject><dc:subject>Endoglin (mesh)</dc:subject><dc:subject>Endothelial Cells (mesh)</dc:subject><dc:subject>Endothelium</dc:subject><dc:subject>Vascular (mesh)</dc:subject><dc:subject>Endovascular Procedures (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Flow Cytometry (mesh)</dc:subject><dc:subject>Gene Expression (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Intracranial Aneurysm (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Matrix Metalloproteinase 2 (mesh)</dc:subject><dc:subject>Receptor</dc:subject><dc:subject>TIE-1 (mesh)</dc:subject><dc:subject>Vascular Endothelial Growth Factor A (mesh)</dc:subject><dc:subject>von Willebrand Factor (mesh)</dc:subject><dc:subject>1103 Clinical Sciences (for)</dc:subject><dc:subject>1109 Neurosciences (for)</dc:subject><dc:subject>1117 Public Health and Health Services (for)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8xk38608</dc:identifier><dc:identifier>https://escholarship.org/content/qt8xk38608/qt8xk38608.pdf</dc:identifier><dc:identifier>info:doi/10.1007/s12975-017-0560-4</dc:identifier><dc:type>article</dc:type><dc:source>Translational Stroke Research, vol 9, iss 1</dc:source><dc:coverage>20 - 33</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8s90q6p8</identifier><datestamp>2026-07-31T13:00:43Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8s90q6p8</dc:identifier><dc:title>Endovascular biopsy: Strategy for analyzing gene expression profiles of individual endothelial cells obtained from human vessels</dc:title><dc:creator>Sun, Zhengda</dc:creator><dc:creator>Lawson, Devon A</dc:creator><dc:creator>Sinclair, Elizabeth</dc:creator><dc:creator>Wang, Chih-Yang</dc:creator><dc:creator>Lai, Ming-Derg</dc:creator><dc:creator>Hetts, Steven W</dc:creator><dc:creator>Higashida, Randall T</dc:creator><dc:creator>Dowd, Christopher F</dc:creator><dc:creator>Halbach, Van V</dc:creator><dc:creator>Werb, Zena</dc:creator><dc:creator>Su, Hua</dc:creator><dc:creator>Cooke, Daniel L</dc:creator><dc:date>2015-09-01</dc:date><dc:description>PURPOSE: To develop a strategy of achieving targeted collection of endothelial cells (ECs) by endovascular methods and analyzing the gene expression profiles of collected single ECs.
METHODS AND RESULTS: 134 ECs and 37 leukocytes were collected from four patients' intra-iliac artery endovascular guide wires by fluorescence activated cell sorting (FACS) and analyzed by single-cell quantitative RT-PCR for expression profile of 48 genes. Compared to CD45+ leukocytes, the ECs expressed higher levels (p &amp;lt; 0.05) of EC surface markers used on FACS and other EC related genes. The gene expression profile showed that these isolated ECs fell into two clusters, A and B, that differentially expressed 19 genes related to angiogenesis, inflammation and extracellular matrix remodeling, with cluster B ECs have demonstrating similarities to senescent or aging ECs.
CONCLUSION: Combination of endovascular device sampling, FACS and single-cell quantitative RT-PCR is a feasible method for analyzing EC gene expression profile in vascular lesions.</dc:description><dc:subject>30 Agricultural</dc:subject><dc:subject>Veterinary and Food Sciences (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>4103 Environmental Biotechnology (for-2020)</dc:subject><dc:subject>3106 Industrial Biotechnology (for-2020)</dc:subject><dc:subject>41 Environmental Sciences (for-2020)</dc:subject><dc:subject>3001 Agricultural Biotechnology (for-2020)</dc:subject><dc:subject>Biotechnology (rcdc)</dc:subject><dc:subject>Genetics (rcdc)</dc:subject><dc:subject>Cardiovascular (rcdc)</dc:subject><dc:subject>2.1 Biological and endogenous factors (hrcs-rac)</dc:subject><dc:subject>Cardiovascular (hrcs-hc)</dc:subject><dc:subject>Gene expression of artery endothelial cells</dc:subject><dc:subject>Single cell quantitative RT-PCR</dc:subject><dc:subject>Targeted endothelial cell sampling</dc:subject><dc:subject>3001 Agricultural biotechnology (for-2020)</dc:subject><dc:subject>3106 Industrial biotechnology (for-2020)</dc:subject><dc:subject>4103 Environmental biotechnology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8s90q6p8</dc:identifier><dc:identifier>https://escholarship.org/content/qt8s90q6p8/qt8s90q6p8.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.btre.2015.07.001</dc:identifier><dc:type>article</dc:type><dc:source>Biotechnology Reports, vol 7</dc:source><dc:coverage>157 - 165</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt810916p7</identifier><datestamp>2026-07-31T12:58:41Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt810916p7</dc:identifier><dc:title>Neural Processing of Sign Language: Increased Attention Without Enhanced Tracking in Adult Novice Learners</dc:title><dc:creator>Svoboda, Michaela</dc:creator><dc:creator>Filip, Maroš</dc:creator><dc:creator>Půlpánová, Lucie Sedláčková</dc:creator><dc:creator>Costello, Brendan</dc:creator><dc:creator>Chládková, Kateřina</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Neural tracking is a core mechanism supporting speech processing and language learning. It funnels the chunking of continuous speech into words and syllables, being shaped by bottom-up cues as well as top-down predictions and language proficiency. While neural tracking is well established in the domain of speech, current understanding of how the mechanism works for visual language, including sign languages, is limited. Here we test whether beginning learners of Czech Sign Language (CSL) differ from sign-naive controls in their neural processing and overt perception of CSL. Attention is quantified via alpha power suppression; neural tracking via backward mTRF reconstruction of the sign-language visual envelope. Compared to controls, sign-language learners exhibited increased alpha suppression and higher perceptual accuracy but did not show enhanced neural tracking of CSL. We conclude that limited prior exposure to sign language may not be enough to entrain the brain to the rhythms of sign language.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Neuroscience</dc:subject><dc:subject>Language acquisition</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Electroencephalography (EEG)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/810916p7</dc:identifier><dc:identifier>https://escholarship.org/content/qt810916p7/qt810916p7.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3gc0w2mv</identifier><datestamp>2026-07-31T12:58:40Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3gc0w2mv</dc:identifier><dc:title>How Partner Schemas Shape the Emergence of Synchrony in Collaborative Action: A Time-Series Comparison of Human and AI Instructions</dc:title><dc:creator>Watanabe, Emika</dc:creator><dc:creator>Shimojo, Shigen</dc:creator><dc:creator>Kimura, Asako</dc:creator><dc:creator>Hayashi, Yugo</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Beliefs or assumptions about a partner can either facilitate or hinder cooperation. Synchrony that promotes cooperation is influenced by impressions of the partner. Previous studies have suggested that this emerges with partners for whom relationship formation is expected. However, it remains unclear whether synchrony occurs without such expectations, or how schemas about others influence this process. This study compared interactions with a human partner, for whom both expectations of relationship formation and synchrony abilities were assumed, and with an AI partner, for whom neither was assumed, to examine whether expectations based on human or AI schemas facilitate synchrony. Although synchrony frequency did not differ between conditions, reaction times decreased across trials, with greater reductions in the human condition. These findings suggest that action model adjustment for synchrony occurs even without expectations of relationship formation, whereas expectations of relationship formation may facilitate synchrony more strongly than expectations of a partner's abilities.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:subject>Interactive behavior</dc:subject><dc:subject>Other</dc:subject><dc:subject>Quantitative Behavior</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3gc0w2mv</dc:identifier><dc:identifier>https://escholarship.org/content/qt3gc0w2mv/qt3gc0w2mv.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9m90489c</identifier><datestamp>2026-07-31T12:58:39Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9m90489c</dc:identifier><dc:title>Estimating Empathy Using Head Motion Synchronization of the Presenter and Viewer While Viewing an Explanatory Video</dc:title><dc:creator>Enomoto, Makoto</dc:creator><dc:creator>Saito, Koki</dc:creator><dc:creator>Zenio, Haruhito</dc:creator><dc:creator>Hoshino, Takayuki</dc:creator><dc:creator>Takahashi, Eiji</dc:creator><dc:date>2026-01-01</dc:date><dc:description>This study examines the relationship between head-motion synchronization and internal communication states. A total of 39 participants viewed a 3-minute explanatory video as a simulation of actual communication, and their empathy was measured through questionnaires. Participants' head motions were calculated using the coordinates of head postures captured by web cameras. We calculated the cross-correlation of head motion as synchronization and analyzed the relationship between the degree of synchronization and empathy. Consequently, we found that the head motion of the participants was synchronized with that of the presenter with a delay, and the yaw cross-correlation value of a high-empathy person was significantly higher than that of a low-empathy person. Furthermore, we confirmed that the degree of empathy can be estimated using the cross-correlation value and the viewer's sex. Our findings suggest that focusing on the synchronization of head movements contributes to the estimation of empathy in real communication.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Empathy</dc:subject><dc:subject>Interactive behavior</dc:subject><dc:subject>Sensory Processing</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Mathematical modeling</dc:subject><dc:subject>Statistics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9m90489c</dc:identifier><dc:identifier>https://escholarship.org/content/qt9m90489c/qt9m90489c.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt753715pj</identifier><datestamp>2026-07-31T12:58:32Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt753715pj</dc:identifier><dc:title>Discovering and transmitting abstract knowledge over generations</dc:title><dc:creator>Prystawski, Ben</dc:creator><dc:creator>Frank, Michael C.</dc:creator><dc:creator>Goodman, Noah</dc:creator><dc:date>2026-01-01</dc:date><dc:description>The complexity of human culture depends on people's ability to discover and transmit abstract knowledge. Studying this ability is crucial to understanding humans' distinctive place among species, but current experimental paradigms focus on the cultural transmission of specific, concrete facts rather than generalizable abstract knowledge. In this paper, we develop a crafting game paradigm to study how people discover abstract knowledge and transmit it via language. We compared individuals playing this game for 40 rounds to chains of four participants playing for 10 rounds each and passing messages to each other sequentially. The individuals performed significantly better over rounds, but the chains did not. Through simulations with language model agents and a follow-up experiment, we find substantial variation in the helpfulness of participants' messages, which may explain the lack of consistent improvement in chains. The ability to learn selectively from the good messages may be essential for improvement over generations.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Culture</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/753715pj</dc:identifier><dc:identifier>https://escholarship.org/content/qt753715pj/qt753715pj.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt58x1x8qz</identifier><datestamp>2026-07-31T12:58:31Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt58x1x8qz</dc:identifier><dc:title>Automated Discovery of Psychological Representations using Language Model Agents</dc:title><dc:creator>Lima Braga, Daniel</dc:creator><dc:creator>Marjieh, Raja</dc:creator><dc:creator>Jagadish, Akshay Kumar</dc:creator><dc:creator>Sucholutsky, Ilia</dc:creator><dc:creator>Jacoby, Nori</dc:creator><dc:creator>Lake, Brenden</dc:creator><dc:creator>Griffiths, Tom</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Similarity judgments provide a powerful behavioral signal for characterizing psychological representations. Computational techniques for translating similarity judgments into representations have been available since the early days of cognitive science. However, these algorithms typically focus on one particular kind of representation (e.g., spaces or trees), and identifying a satisfying representation often requires searching over a large space of possible structures and algorithms. Inspired by recent developments in AI, we propose an automated process for efficient representation discovery (AutoRep), in which large language model agents iteratively propose, refine, and critique code for fitting representational structures to similarity data. We show how this process can reliably recover psychological representations from both synthetic and human datasets, and how it can flexibly explore spatial, feature-based, graphical, or even neural representations. Our work demonstrates how modern agentic pipelines can substantially facilitate basic research workflows in cognitive science.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Philosophy</dc:subject><dc:subject>Machine learning</dc:subject><dc:subject>Representation</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/58x1x8qz</dc:identifier><dc:identifier>https://escholarship.org/content/qt58x1x8qz/qt58x1x8qz.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5gs1q0sm</identifier><datestamp>2026-07-31T12:58:28Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5gs1q0sm</dc:identifier><dc:title>How Do People Quantify Naturally: Evidence from Mandarin Picture Description</dc:title><dc:creator>Zhang, Yayun</dc:creator><dc:creator>Chen, Guanyi</dc:creator><dc:creator>Same, Fahime</dc:creator><dc:creator>Mahamood, Saad</dc:creator><dc:creator>He, Tingting</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Quantification is a fundamental component of everyday language use, yet little is known about how speakers decide whether and how to quantify in naturalistic production. We investigate quantification in Mandarin Chinese using a picture-based elicited description task in which speakers freely described scenes containing multiple objects, without explicit instructions to count or quantify. Across both spoken and written modalities, we examine three aspects of quantification: whether speakers choose to quantify at all, how precise their quantification is, and which quantificational strategies they adopt. Results show that object numerosity, animacy, and production modality systematically shape quantificational behaviour. In particular, increasing numerosity reduces both the likelihood and the precision of quantification, while animate referents and modality selectively modulate strategy choice. This study demonstrates how quantification can be examined under unconstrained production conditions and provides a naturalistic dataset for further analyses of quantity expression in language production.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Language Production</dc:subject><dc:subject>Pragmatics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5gs1q0sm</dc:identifier><dc:identifier>https://escholarship.org/content/qt5gs1q0sm/qt5gs1q0sm.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5kh0s693</identifier><datestamp>2026-07-31T12:58:27Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5kh0s693</dc:identifier><dc:title>Do Large Language Models Show Negation Bias? A Replication of Beukeboom et al. (2010)</dc:title><dc:creator>Allar, Leonie-Marie</dc:creator><dc:creator>Berg, Ann-Sophie</dc:creator><dc:creator>Kaup, Barbara</dc:creator><dc:creator>Capuano, Francesca</dc:creator><dc:date>2026-01-01</dc:date><dc:description>LLM bias research has largely focused on content-level associations, overlooking biases arising from linguistic form and pragmatic choice. One such phenomenon is the negation bias, where negated expressions are preferentially used for stereotype-inconsistent behavior and trigger systematic inferences. While LLMs' handling of negation in semantic tasks is well studied, it is unclear whether they reproduce these pragmatic inferences in social contexts. We replicate Beukeboom et al. (2010) with Mistral-7B-Instruct-v0.2, varying the valence and polarity of trait descriptions. The model inferred more negative expectations from negated negative traits (e.g. not stupid) and more positive expectations from negated positive traits (e.g. not smart), and showed stronger situational but weaker dispositional attributions. These results mirror human negation-bias patterns, suggesting that instruction-tuned models can produce pragmatic-like bias in judgment tasks. The findings underscore the need to extend LLM bias evaluation beyond content to linguistic form.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Language understanding</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>Pragmatics</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:subject>Quantitative Behavior</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5kh0s693</dc:identifier><dc:identifier>https://escholarship.org/content/qt5kh0s693/qt5kh0s693.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6170f5m3</identifier><datestamp>2026-07-31T12:57:44Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6170f5m3</dc:identifier><dc:title>The effect of HIV on malaria in the context of the current standard of care for HIV-infected populations in Africa</dc:title><dc:creator>Kamya, Moses R</dc:creator><dc:creator>Byakika-Kibwika, Pauline</dc:creator><dc:creator>Gasasira, Anne F</dc:creator><dc:creator>Havlir, Diane</dc:creator><dc:creator>Rosenthal, Philip J</dc:creator><dc:creator>Dorsey, Grant</dc:creator><dc:creator>Achan, Jane</dc:creator><dc:date>2012-07-01</dc:date><dc:description>HIV infection affects the clinical pattern of malaria. There is emerging evidence to suggest that previously documented interactions may be modified by recently scaled-up HIV and malaria interventions. Prophylaxis with trimethoprim-sulfamethoxazole (TS) in combination with use of insecticide-treated nets can markedly decrease the incidence of malaria in HIV-infected pregnant and nonpregnant adults and children even in the setting of antifolate resistance-conferring mutations that are currently common in Africa. Nonetheless, additional interventions are needed to protect HIV-infected people that reside in high-malaria-transmission areas. Artemether-lumefantrine and dihydroartemisinin-piperaquine are highly efficacious and safe for the treatment of uncomplicated malaria in HIV-infected persons. Coadministration of antiretroviral and antimalarial drugs creates the potential for pharmacokinetic drug interactions that may increase (causing enhancement of malaria treatment efficacy and post-treatment prophylaxis and/or unanticipated toxicity) or reduce (creating risk for treatment failure) antimalarial drug exposure. Further studies are needed to elucidate potentially important pharmacokinetic interactions between commonly used antimalarials, antiretrovirals and TS and their clinical implications. Data on the benefits of long-term TS prophylaxis among HIV patients on antiretroviral therapy who have achieved immune-reconstitution are limited. Studies to address these questions are ongoing or planned, and the results should provide the evidence base required to guide the prevention and treatment of malaria in HIV-infected patients.</dc:description><dc:subject>3107 Microbiology (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Malaria (rcdc)</dc:subject><dc:subject>Orphan Drug (rcdc)</dc:subject><dc:subject>Patient Safety (rcdc)</dc:subject><dc:subject>HIV/AIDS (rcdc)</dc:subject><dc:subject>Antimicrobial Resistance (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Vector-Borne Diseases (rcdc)</dc:subject><dc:subject>Infectious Diseases (rcdc)</dc:subject><dc:subject>Rare Diseases (rcdc)</dc:subject><dc:subject>6.1 Pharmaceuticals (hrcs-rac)</dc:subject><dc:subject>2.2 Factors relating to the physical environment (hrcs-rac)</dc:subject><dc:subject>5.1 Pharmaceuticals (hrcs-rac)</dc:subject><dc:subject>Infection (hrcs-hc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>antimalarial treatment</dc:subject><dc:subject>antiretroviral therapy</dc:subject><dc:subject>HIV infection</dc:subject><dc:subject>malaria</dc:subject><dc:subject>malaria prevention</dc:subject><dc:subject>0605 Microbiology (for)</dc:subject><dc:subject>1108 Medical Microbiology (for)</dc:subject><dc:subject>Virology (science-metrix)</dc:subject><dc:subject>3107 Microbiology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6170f5m3</dc:identifier><dc:identifier>https://escholarship.org/content/qt6170f5m3/qt6170f5m3.pdf</dc:identifier><dc:identifier>info:doi/10.2217/fvl.12.59</dc:identifier><dc:type>article</dc:type><dc:source>Future Virology, vol 7, iss 7</dc:source><dc:coverage>699 - 708</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt90673695</identifier><datestamp>2026-07-31T12:57:38Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt90673695</dc:identifier><dc:title>Pharmacokinetics of lopinavir/ritonavir and efavirenz in food insecure HIV‐infected pregnant and breastfeeding women in tororo, uganda</dc:title><dc:creator>Bartelink, Imke H</dc:creator><dc:creator>Savic, Rada M</dc:creator><dc:creator>Mwesigwa, Julia</dc:creator><dc:creator>Achan, Jane</dc:creator><dc:creator>Clark, Tamara</dc:creator><dc:creator>Plenty, Albert</dc:creator><dc:creator>Charlebois, Edwin</dc:creator><dc:creator>Kamya, Moses</dc:creator><dc:creator>Young, Sera L</dc:creator><dc:creator>Gandhi, Monica</dc:creator><dc:creator>Havlir, Diane</dc:creator><dc:creator>Cohan, Deborah</dc:creator><dc:creator>Aweeka, Francesca</dc:creator><dc:date>2014-02-01</dc:date><dc:description>Pregnancy and food insecurity may impact antiretroviral (ART) pharmacokinetics (PK), adherence and response. We sought to quantify and characterize the PK of lopinavir/ritonavir (LPV/r) and efavirenz (EFV) by pregnancy and nutritional status among HIV-infected women in Tororo, Uganda. In 2011, 62/225 ante-partum/post-partum single dried blood spot samples DBS and 43 post-partum hair samples for LPV/r were derived from 116 women, 51/194 ante-/post-partum DBS and 53 post-partum hair samples for EFV from 105 women. Eighty percent of Ugandan participants were severely food insecure, 26% lost weight ante-partum, and median BMI post-partum was only 20.2 kg/m(2) . Rich PK-data of normally nourished (pregnant) women and healthy Ugandans established prior information. Overall, drug exposure was reduced (LPV -33%, EFV -15%, ritonavir -17%) compared to well-nourished controls (P &amp;lt; 0.001), attributable to decreased bioavailability. Pregnancy increased LPV/r clearance 68% (P &amp;lt; 0.001), whereas EFV clearance remained unchanged. Hair concentrations correlated with plasma-exposure (P &amp;lt; 0.001), explaining 29% PK-variability. In conclusion, pregnancy and food insecurity were associated with lower ART exposures in this cohort of predominantly underweight women, compared to well-nourished women. Much variability in plasma-exposure was quantified using hair concentrations. Addressing malnutrition as well as ART-PK in this setting should be a priority.</dc:description><dc:subject>3215 Reproductive Medicine (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>HIV/AIDS (rcdc)</dc:subject><dc:subject>Nutrition (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Maternal Health (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Infectious Diseases (rcdc)</dc:subject><dc:subject>Pregnancy (rcdc)</dc:subject><dc:subject>2 Zero Hunger (sdg)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Alkynes (mesh)</dc:subject><dc:subject>Anti-HIV Agents (mesh)</dc:subject><dc:subject>Benzoxazines (mesh)</dc:subject><dc:subject>Biological Availability (mesh)</dc:subject><dc:subject>Breast Feeding (mesh)</dc:subject><dc:subject>Cyclopropanes (mesh)</dc:subject><dc:subject>Dried Blood Spot Testing (mesh)</dc:subject><dc:subject>Drug Combinations (mesh)</dc:subject><dc:subject>Drug Therapy</dc:subject><dc:subject>Combination (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>HIV Infections (mesh)</dc:subject><dc:subject>Hair (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Lopinavir (mesh)</dc:subject><dc:subject>Malnutrition (mesh)</dc:subject><dc:subject>Medication Adherence (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Nutritional Status (mesh)</dc:subject><dc:subject>Postpartum Period (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Pregnancy Complications</dc:subject><dc:subject>Infectious (mesh)</dc:subject><dc:subject>Ritonavir (mesh)</dc:subject><dc:subject>Uganda (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>infectious diseases (INF)</dc:subject><dc:subject>pharmacokinetics and drug metabolism</dc:subject><dc:subject>pharmacodynamics (PDY)</dc:subject><dc:subject>pharmacology (PHA)</dc:subject><dc:subject>clinical research (CRE)</dc:subject><dc:subject>Hair (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Pregnancy Complications</dc:subject><dc:subject>Infectious (mesh)</dc:subject><dc:subject>HIV Infections (mesh)</dc:subject><dc:subject>Malnutrition (mesh)</dc:subject><dc:subject>Alkynes (mesh)</dc:subject><dc:subject>Cyclopropanes (mesh)</dc:subject><dc:subject>Benzoxazines (mesh)</dc:subject><dc:subject>Ritonavir (mesh)</dc:subject><dc:subject>Drug Combinations (mesh)</dc:subject><dc:subject>Anti-HIV Agents (mesh)</dc:subject><dc:subject>Drug Therapy</dc:subject><dc:subject>Combination (mesh)</dc:subject><dc:subject>Biological Availability (mesh)</dc:subject><dc:subject>Breast Feeding (mesh)</dc:subject><dc:subject>Nutritional Status (mesh)</dc:subject><dc:subject>Postpartum Period (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Uganda (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Medication Adherence (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Lopinavir (mesh)</dc:subject><dc:subject>Dried Blood Spot Testing (mesh)</dc:subject><dc:subject>clinical research (CRE)</dc:subject><dc:subject>infectious diseases (INF)</dc:subject><dc:subject>pharmacodynamics (PDY)</dc:subject><dc:subject>pharmacokinetics and drug metabolism</dc:subject><dc:subject>pharmacology (PHA)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Alkynes (mesh)</dc:subject><dc:subject>Anti-HIV Agents (mesh)</dc:subject><dc:subject>Benzoxazines (mesh)</dc:subject><dc:subject>Biological Availability (mesh)</dc:subject><dc:subject>Breast Feeding (mesh)</dc:subject><dc:subject>Cyclopropanes (mesh)</dc:subject><dc:subject>Dried Blood Spot Testing (mesh)</dc:subject><dc:subject>Drug Combinations (mesh)</dc:subject><dc:subject>Drug Therapy</dc:subject><dc:subject>Combination (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>HIV Infections (mesh)</dc:subject><dc:subject>Hair (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Lopinavir (mesh)</dc:subject><dc:subject>Malnutrition (mesh)</dc:subject><dc:subject>Medication Adherence (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Nutritional Status (mesh)</dc:subject><dc:subject>Postpartum Period (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Pregnancy Complications</dc:subject><dc:subject>Infectious (mesh)</dc:subject><dc:subject>Ritonavir (mesh)</dc:subject><dc:subject>Uganda (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>1115 Pharmacology and Pharmaceutical Sciences (for)</dc:subject><dc:subject>Pharmacology &amp; Pharmacy (science-metrix)</dc:subject><dc:subject>3214 Pharmacology and pharmaceutical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/90673695</dc:identifier><dc:identifier>https://escholarship.org/content/qt90673695/qt90673695.pdf</dc:identifier><dc:identifier>info:doi/10.1002/jcph.167</dc:identifier><dc:type>article</dc:type><dc:source>The Journal of Clinical Pharmacology, vol 54, iss 2</dc:source><dc:coverage>121 - 132</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5p07n6d8</identifier><datestamp>2026-07-31T12:57:17Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5p07n6d8</dc:identifier><dc:title>Referring Effectively to a Group of Objects</dc:title><dc:creator>Ellsiepen, Emilia</dc:creator><dc:creator>Mayn, Alexandra</dc:creator><dc:creator>Bila, Natalia</dc:creator><dc:creator>Demberg, Vera</dc:creator><dc:date>2026-01-01</dc:date><dc:description>In communication, we often need to refer to multiple objects. We have several possibilities: enumerating the objects one by one or referring to a shared feature. This is the first study to systematically compare different ways of referring to groups of objects in terms of response times, accuracy, and memory encoding. In a within-subjects design, participants listened to instructions which either used a shared feature or enumerated coordinates of individual objects. We find that there is no one way of referring that is universally more effective, but the optimal way of referring depends on the type of common feature and the number of objects. When the shared feature is prominent, such as color, and multiple objects need to be identified, referring to it results in shorter identification times and fewer errors. In contrast, when the shared feature is less salient, such as pattern, referring by location tends to be better.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Language understanding</dc:subject><dc:subject>Situated cognition</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5p07n6d8</dc:identifier><dc:identifier>https://escholarship.org/content/qt5p07n6d8/qt5p07n6d8.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4hz9j5f8</identifier><datestamp>2026-07-31T12:57:17Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4hz9j5f8</dc:identifier><dc:title>How communicatively optimal are exact numeral systems? Once more on lexicon size and morphosyntactic complexity</dc:title><dc:creator>Cathcart, Chundra</dc:creator><dc:creator>Rubehn, Arne</dc:creator><dc:creator>Bocklage, Katja</dc:creator><dc:creator>Ciucci, Luca</dc:creator><dc:creator>van Dam, Kellen Parker</dc:creator><dc:creator>Kučerová, Alžběta</dc:creator><dc:creator>Mažara, Jekaterina</dc:creator><dc:creator>Meloni, Carlo Y.</dc:creator><dc:creator>Snee, David</dc:creator><dc:creator>List, Johann-mattis</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Recent research argues that exact recursive numeral systems optimize communicative efficiency by balancing a tradeoff between the size of the numeral lexicon and the average morphosyntactic complexity (roughly length in morphemes) of numeral terms. We argue that previous studies have not characterized the data in a fashion that accounts for the degree of complexity languages display. Using data from 52 genetically diverse languages and an annotation scheme distinguishing between predictable and unpredictable allomorphy (formal variation), we show that many of the world's languages are decisively less efficient than one would expect. We discuss the implications of our findings for the study of numeral systems and linguistic evolution more generally.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Evolution</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Morphology</dc:subject><dc:subject>Phonology</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Cross-cultural analysis</dc:subject><dc:subject>Cross-linguistic analysis</dc:subject><dc:subject>Mathematical modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4hz9j5f8</dc:identifier><dc:identifier>https://escholarship.org/content/qt4hz9j5f8/qt4hz9j5f8.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3fn0z7zb</identifier><datestamp>2026-07-31T12:57:17Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3fn0z7zb</dc:identifier><dc:title>Effects of Egocentric and Exocentric Strategies on Reciprocity: Agent-Based Study Using Ultimatum Game</dc:title><dc:creator>Oasa, Kishin</dc:creator><dc:creator>Shimojo, Shigen</dc:creator><dc:creator>Hayashi, Yugo</dc:creator><dc:date>2026-01-01</dc:date><dc:description>This study investigates the formation of reciprocal altruism in human-agent interactions using the ultimatum game, focusing on how people infer others' action-generation principles. We examine the effects of different agent strategies on human rejection behavior and agent impression. An experiment is conducted where two factors are manipulated in the agent's strategy: the presence of a selfish, egocentric strategy based on the agent's internal policy; and an altruistic, exocentric strategy that adjusts to the participant's feedback. The results show that participants rejected proposals less frequently when the agent adopted exocentric/non-egocentric strategies. Furthermore, the exocentric strategy increased the perception of safety toward the agent, whereas the egocentric strategy decreased the perception of intelligence. These findings suggest that cooperative behavior and social impressions are shaped not only by outcome distributions but also by inferences about latent policy parameters, such as responsiveness to social signals and rigidity of internal dynamics.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Intelligent agents</dc:subject><dc:subject>Interactive behavior</dc:subject><dc:subject>Quantitative Behavior</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3fn0z7zb</dc:identifier><dc:identifier>https://escholarship.org/content/qt3fn0z7zb/qt3fn0z7zb.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6gc832gh</identifier><datestamp>2026-07-31T12:57:14Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6gc832gh</dc:identifier><dc:title>Joint Human-AI decision making and sense of agency</dc:title><dc:creator>Berberian, Bruno</dc:creator><dc:creator>Pagliari, Marine</dc:creator><dc:creator>Chambon, Valerian</dc:creator><dc:date>2026-01-01</dc:date><dc:description>In this study, we address shared Human-AI decision making through the lens of agency: what is the feeling of control experienced by an operator when making a decision that is shared with an AI-based artificial agent? Using an optimization trajectory task, we explored how the level of autonomy and the explainability of the decision support system impact the human operator's feelings of agency, responsibility and confidence. Results indicated that the level of automation modulate the sense of agency, but also the confidence and feeling of responsibility. More interestingly, our results also indicated that explanations could increase the number of mind change, but also the feelings of agency, confidence and responsibility during such mind change. These results are discussed in term of mechanisms underlying the development of a sense of agency and aims to provide tools and models to explore the notion of 'meaningful control' during our interactions with AI-enabled systems.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:subject>Intelligent agents</dc:subject><dc:subject>Social cognition</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6gc832gh</dc:identifier><dc:identifier>https://escholarship.org/content/qt6gc832gh/qt6gc832gh.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5vs4590q</identifier><datestamp>2026-07-31T12:57:11Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5vs4590q</dc:identifier><dc:title>From Neural Control to Cognitive Explanation: Closed-Loop Negative Feedback and Marr's Levels in YIN-CBEHA</dc:title><dc:creator>Suomala, Jyrki</dc:creator><dc:creator>Sivén, Suvi</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Many cognitive theories explain behavior using linear input–output models grounded in normatively specified tasks. However, these approaches remain weakly grounded in biological organization and real-time organism–environment interaction. This theoretical analysis paper examines Yin's control-theoretic extension of Perceptual Control Theory (YIN-CBEHA) using Marr's levels of analysis as evaluative criteria. In YIN-CBEHA, behavior is not identified with motor output but with the hierarchical control of perceptual variables through closed-loop negative feedback. We show how this framework satisfies Marr's three-level demands within a single control architecture. Converging evidence from neurophysiology and robotic construction supports the functional sufficiency of hierarchical feedback control for posture, movement, and spatial regulation under real-world constraints. By constraining admissible computational problems through continuous-time feedback, YIN-CBEHA reduces explanatory underdetermination and improves biological plausibility. While its strongest empirical support currently lies at intermediate sensorimotor levels, the framework provides a tractable foundation for extending control-theoretic explanation toward higher cognition.</dc:description><dc:subject>Biology</dc:subject><dc:subject>Philosophy</dc:subject><dc:subject>Situated cognition</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:subject>Qualitative Analysis</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5vs4590q</dc:identifier><dc:identifier>https://escholarship.org/content/qt5vs4590q/qt5vs4590q.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt72q5n5f8</identifier><datestamp>2026-07-31T12:57:09Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt72q5n5f8</dc:identifier><dc:title>When to Think Deep? Resource-Rational Metacognitive Control for Adaptive Inference in LLM-Based Legal QA</dc:title><dc:creator>Sun, Ao</dc:creator><dc:creator>Liu, Shiyuan</dc:creator><dc:creator>Zhang, Dongliang</dc:creator><dc:creator>Wang, Xiaoyang</dc:creator><dc:creator>Zhang, Ying</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Legal question-answering systems based on large language models (LLMs) encounter reasoning demands that vary significantly across queries. Consequently, static retrieval-and-reasoning pipelines frequently result in inefficient resource allocation. In this paper, we introduce ALEX, a cost-aware adaptive inference architecture grounded in resource-rational accounts of metacognitive control. The proposed framework implements a metacognitive controller that monitors query complexity via multi-dimensional linguistic and confidence cues, and subsequently routes tasks to hierarchical workflows within an expected utility framework. Experimental results on legal benchmarks demonstrate that ALEX achieves superior accuracy while maintaining an efficient trade-off between accuracy and effort, consistent with the principles of bounded rationality. Furthermore, analyses of routing behavior and error correction driven by verification reveal how metacognitive monitoring can mitigate resource misallocation in LLM-based legal QA.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Problem Solving</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/72q5n5f8</dc:identifier><dc:identifier>https://escholarship.org/content/qt72q5n5f8/qt72q5n5f8.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt48t1m60p</identifier><datestamp>2026-07-31T12:57:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt48t1m60p</dc:identifier><dc:title>Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints</dc:title><dc:creator>Zhu, Jian-Qiao</dc:creator><dc:creator>Yan, Haijiang</dc:creator><dc:creator>Griffiths, Tom</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Rational decision-making under uncertainty requires coherent degrees of belief in events. However, event probabilities generated by Large Language Models (LLMs) have been shown to exhibit incoherence, violating the axioms of probability theory. This raises the question of whether coherent event probabilities can be recovered from the embeddings used by the models. If so, those derived probabilities could be used as more accurate estimates in events involving uncertainty, and the embeddings would become more interpretable. To explore this question, we propose enforcing axiomatic constraints, such as the additive rule of probability theory, in the latent space learned by an extended variational autoencoder (VAE) applied to LLM embeddings. This approach enables event probabilities to naturally emerge in the latent space as the VAE learns to both reconstruct the original embeddings and predict the embeddings of semantically related events. We evaluate our method on complementary events (i.e., event A and its complement, event not-A), where the true probabilities of the two events must sum to 1. Experiment results on open-weight language models demonstrate that probabilities recovered from embeddings exhibit greater coherence than those directly generated by the models. Moreover, the recovered probabilities align closely with the true probabilities, while the latent space of the VAE provides interpretable structures.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/48t1m60p</dc:identifier><dc:identifier>https://escholarship.org/content/qt48t1m60p/qt48t1m60p.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0ms8w1mf</identifier><datestamp>2026-07-31T12:57:04Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0ms8w1mf</dc:identifier><dc:title>Toward Fair and Diverse Pedagogical Generations: Quantifying Educational Epistemic Bias in Text-to-Image Models</dc:title><dc:creator>Shen, Fangjian</dc:creator><dc:creator>Gao, Yuhan</dc:creator><dc:creator>Zeng, Yifan</dc:creator><dc:creator>Wen, Wushao</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Text-to-image (T2I) models are increasingly used to generate educational visuals, from textbook illustrations and lecture slides to classroom scenes and institutional marketing materials. However, these models do not neutrally depict education. They often encode stereotyped views of what education should look like, and such patterns can recur across generations and gradually solidify into taken-for-granted visual common sense. Building on cognitive theories, we introduce the notion of Educational Epistemic Bias to describe how T2I models narrow rich educational ideas into a small set of recurring visual patterns. We define this construct along four dimensions and design an education-specific benchmark of 60 prompts that span learning environments, activities, power relations, and roles. We apply this benchmark to nine mainstream T2I models, yielding 2,160 images. To quantify bias, we propose the Educational Epistemic Biases Quantifier (EEBQ), a VLM-based evaluation framework that includes two image-quality metrics and four metrics targeting DEI-related aspects of the images. Our analysis reveals systematic educational epistemic biases across all models. Together, the benchmark and EEBQ offer a concrete way to examine how generative models visually construct education and to inform more careful use of such systems in educational settings.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Education</dc:subject><dc:subject>Instruction and teaching</dc:subject><dc:subject>Learning</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0ms8w1mf</dc:identifier><dc:identifier>https://escholarship.org/content/qt0ms8w1mf/qt0ms8w1mf.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt83g690r2</identifier><datestamp>2026-07-31T12:57:03Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt83g690r2</dc:identifier><dc:title>Shallow by strategy: Heuristic parsing in Mandarin-Chinese-speaking learners' comprehension of Korean suffixal passives</dc:title><dc:creator>Mun, Seongmin</dc:creator><dc:creator>Shin, Gyu-Ho</dc:creator><dc:creator>Park, Sun Hee</dc:creator><dc:date>2026-01-01</dc:date><dc:description>This study examines how L1-Mandarin-Chinese L2-Korean learners comprehend constructions expressing transitivity within a good-enough processing framework. Using picture selection with webcam eye-tracking, we compare learners with native speakers in two studies. Study 1 crosses voice (active vs. passive), word order (canonical vs. scrambled), and verb position (verb-final vs. verb-initial). Learners are accurate for canonical actives, but perform below chance on passives and show reduced target looks in critical regions, consistent with a persistent agent-first bias and limited use of case-marking and passive morphology. Study 2 obscures case markers to isolate verbal morphology; learners favour agent-first interpretations and show only weak sensitivity to passive morphology. Across two studies, proficiency predicts more target-like performance, especially in non-canonical configurations. These findings highlight the role of cue alignment/(re)weighting in L2-acquisition pathways and a proficiency-mediated shift towards more algorithmic parsing, suggesting the dynamic and adaptive nature of L2 good-enough processing.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Morphology</dc:subject><dc:subject>Syntax</dc:subject><dc:subject>Cross-linguistic analysis</dc:subject><dc:subject>Eye tracking</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/83g690r2</dc:identifier><dc:identifier>https://escholarship.org/content/qt83g690r2/qt83g690r2.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1g4687h7</identifier><datestamp>2026-07-31T12:57:02Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1g4687h7</dc:identifier><dc:title>Trust Issues: Social Learning Under Misaligned Goals</dc:title><dc:creator>Lee, Liang</dc:creator><dc:creator>Chirkov, Valerii</dc:creator><dc:creator>Tian, Shen</dc:creator><dc:creator>Wu, Charley M</dc:creator><dc:creator>Witt, Alexandra</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Computational models of social learning often assume learners and demonstrators share identical or at least positively correlated goals. Yet this assumption limits applications to real-world scenarios, where preferences may be misaligned or even opposed. We address this gap by extending the socially correlated bandit task to settings where agents need to learn when social information is positively correlated, uncorrelated, or negatively correlated, analogous to learning whom to trust or distrust. We introduce Social Correlation–Adjusted LEarning (SCALE), a multi-output Gaussian Process model that learns the covariance structure between agents' preferences. Using simulations, we characterize the model's performance across social environments and outline a path toward agents that can dynamically infer social correlations from experience. Our model allows us to reframe prior experimental observations, and lays the groundwork for future experimental work on the integration of preferences into individual decision-making.</dc:description><dc:subject>Decision making</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Agent-based Modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1g4687h7</dc:identifier><dc:identifier>https://escholarship.org/content/qt1g4687h7/qt1g4687h7.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2ct43100</identifier><datestamp>2026-07-31T12:57:01Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2ct43100</dc:identifier><dc:title>A Computational Model of Action Selection and Action Specification in the Basal Ganglia</dc:title><dc:creator>Saha, Priyadarshini</dc:creator><dc:creator>Bartlett, Madeleine</dc:creator><dc:creator>Orchard, Jeff</dc:creator><dc:date>2026-01-01</dc:date><dc:description>It has been proposed that the basal ganglia is involved in selecting which action is performed, while the motor cortex specifies how the selected action is carried out. However, recent electrophysiological evidence from a reach-to-pull task challenges this view by showing that the motor cortex and the dorsal striatum in the basal ganglia jointly specify continuous action movement parameters, such as reach angle and pull force. This finding implicates the basal ganglia in both action selection and action specification, creating a gap for a mechanistic model that unifies both functions in a single, grounded framework. We address this gap with a biologically plausible model of the basal ganglia that leverages dynamic neural fields applied to high-dimensional representations of action-salience distributions. The dynamic neural field converts high-entropy representations into low-entropy representations without altering the underlying action-salience distribution's peak---a property previously shown to support accurate readout of continuous action parameters (e.g., movement speed or force). Our model is an extension that applies the same dynamic neural field transformation across multiple actions so that we can simultaneously (i) resolve which action is chosen (e.g., lever pull vs. button press) and (ii) specify the continuous action parameter value with which the chosen action is to be executed (e.g., force or speed). In our simulations patterned on the reach-to-pull paradigm, the basal ganglia model performs both discrete action selection and action specification of a continuous action parameter in a single operation, offering a concise mechanism for how basal ganglia-cortex circuits decide what to do and how to do it.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Computer Science</dc:subject><dc:subject>Neuroscience</dc:subject><dc:subject>Action</dc:subject><dc:subject>Cognitive architectures</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Neural Networks</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2ct43100</dc:identifier><dc:identifier>https://escholarship.org/content/qt2ct43100/qt2ct43100.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6sf7q92c</identifier><datestamp>2026-07-31T12:49:25Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6sf7q92c</dc:identifier><dc:title>An adaptive design to screen, treat, and retain people with opioid use disorders who use methamphetamine in methadone clinics (STAR-OM): study protocol of a clinical trial</dc:title><dc:creator>Giang, Le Minh</dc:creator><dc:creator>Trang, Nguyen Thu</dc:creator><dc:creator>Diep, Nguyen Bich</dc:creator><dc:creator>Thuy, Dao Thi Dieu</dc:creator><dc:creator>Thuy, Dinh Thanh</dc:creator><dc:creator>Hoe, Han Dinh</dc:creator><dc:creator>Van, Hoang Thi Hai</dc:creator><dc:creator>Truc, Thai Thanh</dc:creator><dc:creator>Nguyen, Hoa H</dc:creator><dc:creator>Lai, Nguyen Ly</dc:creator><dc:creator>Linh, Pham Thi Dan</dc:creator><dc:creator>Vi, Vu Thi Tuong</dc:creator><dc:creator>Reback, Cathy J</dc:creator><dc:creator>Leibowitz, Arleen</dc:creator><dc:creator>Li, Li</dc:creator><dc:creator>Lin, Chunqing</dc:creator><dc:creator>Li, Michael</dc:creator><dc:creator>Do Van Dung</dc:creator><dc:creator>Shoptaw, Steve</dc:creator><dc:date>2022-12-01</dc:date><dc:description>BackgroundMethamphetamine use could jeopardize the current efforts to address opioid use disorder and HIV infection. Evidence-based behavioral interventions (EBI) are effective in reducing methamphetamine use. However, evidence on optimal combinations of EBI is limited. This protocol presents a type-1 effectiveness-implementation hybrid design to evaluate the effectiveness, cost-effectiveness of adaptive methamphetamine use interventions, and their implementation barriers in Vietnam.MethodDesign: Participants will be first randomized into two frontline interventions for 12 weeks. They will then be placed or randomized to three adaptive strategies for another 12 weeks. An economic evaluation and an ethnographic evaluation will be conducted alongside the interventions.Participants: We will recruit 600 participants in 20 methadone clinics. Eligibility criteria: (1) age 16+; (2) Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) scores ≥ 10 for methamphetamine use or confirmed methamphetamine use with urine drug screening; (3) willing to provide three pieces of contact information; and (4) having a cell phone.Outcomes: Outcomes are measured at 13, 26, and 49 weeks and throughout the interventions. Primary outcomes include the (1) increase in HIV viral suppression, (2) reduction in HIV risk behaviors, and (3) reduction in methamphetamine use.COVID-19 response: We developed a response plan for interruptions caused by COVID-19 lockdowns to ensure data quality and intervention fidelity.DiscussionThis study will provide important evidence for scale-up of EBIs for methamphetamine use among methadone patients in limited-resource settings. As the EBIs will be delivered by methadone providers, they can be readily implemented if the trial demonstrates effectiveness and cost-effectiveness.Trial registrationClinicalTrials.gov NCT04706624. Registered on 13 January 2021. https://clinicaltrials.gov/ct2/show/NCT04706624</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>4206 Public Health (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>Opioid Misuse and Addiction (rcdc)</dc:subject><dc:subject>Emerging Infectious Diseases (rcdc)</dc:subject><dc:subject>Health Disparities and Racial or Ethnic Minority Health Research (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Substance Misuse (rcdc)</dc:subject><dc:subject>Social Determinants of Health (rcdc)</dc:subject><dc:subject>Comparative Effectiveness Research (rcdc)</dc:subject><dc:subject>Cost Effectiveness Research (rcdc)</dc:subject><dc:subject>Opioids (rcdc)</dc:subject><dc:subject>Dissemination and Implementation Research (rcdc)</dc:subject><dc:subject>Health Services (rcdc)</dc:subject><dc:subject>Methamphetamine (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Infectious Diseases (rcdc)</dc:subject><dc:subject>Stimulant Use and Misuse (rcdc)</dc:subject><dc:subject>Health Disparities (rcdc)</dc:subject><dc:subject>Clinical Trials and Supportive Activities (rcdc)</dc:subject><dc:subject>Drug Abuse (NIDA only) (rcdc)</dc:subject><dc:subject>HIV/AIDS (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Coronaviruses (rcdc)</dc:subject><dc:subject>6.1 Pharmaceuticals (hrcs-rac)</dc:subject><dc:subject>3.1 Primary prevention interventions to modify behaviours or promote wellbeing (hrcs-rac)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Amphetamine-Related Disorders (mesh)</dc:subject><dc:subject>COVID-19 (mesh)</dc:subject><dc:subject>HIV Infections (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Methadone (mesh)</dc:subject><dc:subject>Methamphetamine (mesh)</dc:subject><dc:subject>Opioid-Related Disorders (mesh)</dc:subject><dc:subject>Randomized Controlled Trials as Topic (mesh)</dc:subject><dc:subject>Methamphetamine</dc:subject><dc:subject>Amphetamine-type stimulants</dc:subject><dc:subject>Methadone</dc:subject><dc:subject>Opioid substitution</dc:subject><dc:subject>Vietnam</dc:subject><dc:subject>Randomized controlled trial</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>HIV Infections (mesh)</dc:subject><dc:subject>Amphetamine-Related Disorders (mesh)</dc:subject><dc:subject>Opioid-Related Disorders (mesh)</dc:subject><dc:subject>Methamphetamine (mesh)</dc:subject><dc:subject>Methadone (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Randomized Controlled Trials as Topic (mesh)</dc:subject><dc:subject>COVID-19 (mesh)</dc:subject><dc:subject>Amphetamine-type stimulants</dc:subject><dc:subject>Methadone</dc:subject><dc:subject>Methamphetamine</dc:subject><dc:subject>Opioid substitution</dc:subject><dc:subject>Randomized controlled trial</dc:subject><dc:subject>Vietnam</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Amphetamine-Related Disorders (mesh)</dc:subject><dc:subject>COVID-19 (mesh)</dc:subject><dc:subject>HIV Infections (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Methadone (mesh)</dc:subject><dc:subject>Methamphetamine (mesh)</dc:subject><dc:subject>Opioid-Related Disorders (mesh)</dc:subject><dc:subject>Randomized Controlled Trials as Topic (mesh)</dc:subject><dc:subject>1102 Cardiorespiratory Medicine and Haematology (for)</dc:subject><dc:subject>1103 Clinical Sciences (for)</dc:subject><dc:subject>Cardiovascular System &amp; Hematology (science-metrix)</dc:subject><dc:subject>General &amp; Internal Medicine (science-metrix)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:subject>4202 Epidemiology (for-2020)</dc:subject><dc:subject>4203 Health services and systems (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6sf7q92c</dc:identifier><dc:identifier>https://escholarship.org/content/qt6sf7q92c/qt6sf7q92c.pdf</dc:identifier><dc:identifier>info:doi/10.1186/s13063-022-06278-w</dc:identifier><dc:type>article</dc:type><dc:source>Trials, vol 23, iss 1</dc:source><dc:coverage>342</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8dj4n32z</identifier><datestamp>2026-07-31T12:45:22Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8dj4n32z</dc:identifier><dc:title>Interrogating the validity of cumulative indices of environmental and genetic risk for negative developmental outcomes</dc:title><dc:creator>Widaman, Keith F</dc:creator><dc:date>2023-08-01</dc:date><dc:description>Indices of cumulative risk (CR) have long been used in developmental research to encode the number of risk factors a child or adolescent experiences that may impede optimal developmental outcomes. Initial contributions concentrated on indices of cumulative environmental risk; more recently, indices of cumulative genetic risk have been employed. In this article, regression analytic methods are proposed for interrogating strongly the validity of risk indices by testing optimality of compositing weights, enabling more informative modeling of effects of CR indices. Reanalyses of data from two studies are reported. One study involved 10 environmental risk factors predicting Verbal IQ in 215 four-year-old children. The second study included an index of genetic CR in a G×E interaction investigation of 281 target participants assessed at age 15 years and then again at age 31 years for observed hostility during videotaped interactions with close family relations. Principles to guide evaluation of results of statistical modeling are presented, and implications of results for research and theory are discussed. The ultimate goals of this paper are to develop stronger tests of conjectures involving CR indices and to promote methods for improving replicability of results across studies.</dc:description><dc:subject>5202 Biological Psychology (for-2020)</dc:subject><dc:subject>5203 Clinical and Health Psychology (for-2020)</dc:subject><dc:subject>52 Psychology (for-2020)</dc:subject><dc:subject>5201 Applied and Developmental Psychology (for-2020)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Genetic Testing (rcdc)</dc:subject><dc:subject>Genetics (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Social Determinants of Health (rcdc)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Risk Factors (mesh)</dc:subject><dc:subject>Hostility (mesh)</dc:subject><dc:subject>environmental risk</dc:subject><dc:subject>GxE interaction</dc:subject><dc:subject>genetic risk</dc:subject><dc:subject>regression analysis</dc:subject><dc:subject>risk indices</dc:subject><dc:subject>environmental risk</dc:subject><dc:subject>GxE interaction</dc:subject><dc:subject>genetic risk</dc:subject><dc:subject>regression analysis</dc:subject><dc:subject>risk indices</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Risk Factors (mesh)</dc:subject><dc:subject>Hostility (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>G×E interaction</dc:subject><dc:subject>environmental risk</dc:subject><dc:subject>genetic risk</dc:subject><dc:subject>regression analysis</dc:subject><dc:subject>risk indices</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Risk Factors (mesh)</dc:subject><dc:subject>Hostility (mesh)</dc:subject><dc:subject>1701 Psychology (for)</dc:subject><dc:subject>1702 Cognitive Sciences (for)</dc:subject><dc:subject>Developmental &amp; Child Psychology (science-metrix)</dc:subject><dc:subject>5201 Applied and developmental psychology (for-2020)</dc:subject><dc:subject>5202 Biological psychology (for-2020)</dc:subject><dc:subject>5203 Clinical and health psychology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8dj4n32z</dc:identifier><dc:identifier>https://escholarship.org/content/qt8dj4n32z/qt8dj4n32z.pdf</dc:identifier><dc:identifier>info:doi/10.1017/s0954579421001097</dc:identifier><dc:type>article</dc:type><dc:source>Development and Psychopathology, vol 35, iss 3</dc:source><dc:coverage>1171 - 1187</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1gv0r113</identifier><datestamp>2026-07-31T12:45:18Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1gv0r113</dc:identifier><dc:title>Reduced Mural Cell Coverage and Impaired Vessel Integrity After Angiogenic Stimulation in the Alk1-deficient Brain</dc:title><dc:creator>Chen, Wanqiu</dc:creator><dc:creator>Guo, Yi</dc:creator><dc:creator>Walker, Espen J</dc:creator><dc:creator>Shen, Fanxia</dc:creator><dc:creator>Jun, Kristine</dc:creator><dc:creator>Oh, S Paul</dc:creator><dc:creator>Degos, Vincent</dc:creator><dc:creator>Lawton, Michael T</dc:creator><dc:creator>Tihan, Tarik</dc:creator><dc:creator>Davalos, Dimitrios</dc:creator><dc:creator>Akassoglou, Katerina</dc:creator><dc:creator>Nelson, Jeffrey</dc:creator><dc:creator>Pile-Spellman, John</dc:creator><dc:creator>Su, Hua</dc:creator><dc:creator>Young, William L</dc:creator><dc:date>2013-02-01</dc:date><dc:description>OBJECTIVE: Vessels in brain arteriovenous malformations are prone to rupture. The underlying pathogenesis is not clear. Hereditary hemorrhagic telangiectasia type 2 patients with activin receptor-like kinase 1 (Alk1) mutation have a higher incidence of brain arteriovenous malformation than the general population. We tested the hypothesis that vascular endothelial growth factor impairs vascular integrity in the Alk1-deficient brain through reduction of mural cell coverage.
METHODS AND RESULTS: Adult Alk1(1f/2f) mice (loxP sites flanking exons 4-6) and wild-type mice were injected with 2×10(7) PFU adenovious-cre recombinase and 2×10(9) genome copies of adeno-associated virus-vascular endothelial growth factor to induce focal homozygous Alk1 deletion (in Alk1(1f/2f) mice) and angiogenesis. Brain vessels were analyzed 8 weeks later. Compared with wild-type mice, the Alk1-deficient brain had more fibrin (99±30×10(3) pixels/mm(2) versus 40±13×10(3); P=0.001), iron deposition (508±506 pixels/mm(2) versus 6±49; P=0.04), and Iba1(+) microglia/macrophage infiltration (888±420 Iba1(+) cells/mm(2) versus 240±104 Iba1(+); P=0.001) after vascular endothelial growth factor stimulation. In the angiogenic foci, the Alk1-deficient brain had more α-smooth muscle actin negative vessels (52±9% versus 12±7%, P&amp;lt;0.001), fewer vascular-associated pericytes (503±179/mm(2) versus 931±115, P&amp;lt;0.001), and reduced platelet-derived growth factor receptor-β expression.
CONCLUSIONS: Reduction of mural cell coverage in response to vascular endothelial growth factor stimulation is a potential mechanism for the impairment of vessel wall integrity in hereditary hemorrhagic telangiectasia type 2-associated brain arteriovenous malformation.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3202 Clinical Sciences (for-2020)</dc:subject><dc:subject>Hematology (rcdc)</dc:subject><dc:subject>Cerebrovascular (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Rare Diseases (rcdc)</dc:subject><dc:subject>Congenital Structural Anomalies (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Genetics (rcdc)</dc:subject><dc:subject>2.1 Biological and endogenous factors (hrcs-rac)</dc:subject><dc:subject>Actins (mesh)</dc:subject><dc:subject>Activin Receptors</dc:subject><dc:subject>Type I (mesh)</dc:subject><dc:subject>Activin Receptors</dc:subject><dc:subject>Type II (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Becaplermin (mesh)</dc:subject><dc:subject>Blood Vessels (mesh)</dc:subject><dc:subject>Brain (mesh)</dc:subject><dc:subject>Dependovirus (mesh)</dc:subject><dc:subject>Disease Models</dc:subject><dc:subject>Animal (mesh)</dc:subject><dc:subject>Fibrin (mesh)</dc:subject><dc:subject>Gene Transfer Techniques (mesh)</dc:subject><dc:subject>Genetic Vectors (mesh)</dc:subject><dc:subject>Iron (mesh)</dc:subject><dc:subject>Macrophages (mesh)</dc:subject><dc:subject>Mice (mesh)</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Inbred C57BL (mesh)</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Knockout (mesh)</dc:subject><dc:subject>Microglia (mesh)</dc:subject><dc:subject>Neovascularization</dc:subject><dc:subject>Pathologic (mesh)</dc:subject><dc:subject>Pericytes (mesh)</dc:subject><dc:subject>Proto-Oncogene Proteins c-sis (mesh)</dc:subject><dc:subject>Receptor</dc:subject><dc:subject>Platelet-Derived Growth Factor beta (mesh)</dc:subject><dc:subject>Telangiectasia</dc:subject><dc:subject>Hereditary Hemorrhagic (mesh)</dc:subject><dc:subject>Vascular Endothelial Growth Factor A (mesh)</dc:subject><dc:subject>activin receptor-like kinase 1</dc:subject><dc:subject>brain arteriovenous malformation</dc:subject><dc:subject>iron deposition</dc:subject><dc:subject>pericyte</dc:subject><dc:subject>platelet-derived growth factor receptor-beta</dc:subject><dc:subject>Blood Vessels (mesh)</dc:subject><dc:subject>Pericytes (mesh)</dc:subject><dc:subject>Brain (mesh)</dc:subject><dc:subject>Microglia (mesh)</dc:subject><dc:subject>Macrophages (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Inbred C57BL (mesh)</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Knockout (mesh)</dc:subject><dc:subject>Mice (mesh)</dc:subject><dc:subject>Dependovirus (mesh)</dc:subject><dc:subject>Telangiectasia</dc:subject><dc:subject>Hereditary Hemorrhagic (mesh)</dc:subject><dc:subject>Disease Models</dc:subject><dc:subject>Animal (mesh)</dc:subject><dc:subject>Neovascularization</dc:subject><dc:subject>Pathologic (mesh)</dc:subject><dc:subject>Iron (mesh)</dc:subject><dc:subject>Actins (mesh)</dc:subject><dc:subject>Activin Receptors</dc:subject><dc:subject>Type I (mesh)</dc:subject><dc:subject>Activin Receptors</dc:subject><dc:subject>Type II (mesh)</dc:subject><dc:subject>Receptor</dc:subject><dc:subject>Platelet-Derived Growth Factor beta (mesh)</dc:subject><dc:subject>Vascular Endothelial Growth Factor A (mesh)</dc:subject><dc:subject>Proto-Oncogene Proteins c-sis (mesh)</dc:subject><dc:subject>Fibrin (mesh)</dc:subject><dc:subject>Gene Transfer Techniques (mesh)</dc:subject><dc:subject>Genetic Vectors (mesh)</dc:subject><dc:subject>Becaplermin (mesh)</dc:subject><dc:subject>Actins (mesh)</dc:subject><dc:subject>Activin Receptors</dc:subject><dc:subject>Type I (mesh)</dc:subject><dc:subject>Activin Receptors</dc:subject><dc:subject>Type II (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Becaplermin (mesh)</dc:subject><dc:subject>Blood Vessels (mesh)</dc:subject><dc:subject>Brain (mesh)</dc:subject><dc:subject>Dependovirus (mesh)</dc:subject><dc:subject>Disease Models</dc:subject><dc:subject>Animal (mesh)</dc:subject><dc:subject>Fibrin (mesh)</dc:subject><dc:subject>Gene Transfer Techniques (mesh)</dc:subject><dc:subject>Genetic Vectors (mesh)</dc:subject><dc:subject>Iron (mesh)</dc:subject><dc:subject>Macrophages (mesh)</dc:subject><dc:subject>Mice (mesh)</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Inbred C57BL (mesh)</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Knockout (mesh)</dc:subject><dc:subject>Microglia (mesh)</dc:subject><dc:subject>Neovascularization</dc:subject><dc:subject>Pathologic (mesh)</dc:subject><dc:subject>Pericytes (mesh)</dc:subject><dc:subject>Proto-Oncogene Proteins c-sis (mesh)</dc:subject><dc:subject>Receptor</dc:subject><dc:subject>Platelet-Derived Growth Factor beta (mesh)</dc:subject><dc:subject>Telangiectasia</dc:subject><dc:subject>Hereditary Hemorrhagic (mesh)</dc:subject><dc:subject>Vascular Endothelial Growth Factor A (mesh)</dc:subject><dc:subject>1102 Cardiorespiratory Medicine and Haematology (for)</dc:subject><dc:subject>1103 Clinical Sciences (for)</dc:subject><dc:subject>Cardiovascular System &amp; Hematology (science-metrix)</dc:subject><dc:subject>3201 Cardiovascular medicine and haematology (for-2020)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1gv0r113</dc:identifier><dc:identifier>https://escholarship.org/content/qt1gv0r113/qt1gv0r113.pdf</dc:identifier><dc:identifier>info:doi/10.1161/atvbaha.112.300485</dc:identifier><dc:type>article</dc:type><dc:source>Arteriosclerosis Thrombosis and Vascular Biology, vol 33, iss 2</dc:source><dc:coverage>305 - 310</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1m26r4hg</identifier><datestamp>2026-07-31T12:44:13Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1m26r4hg</dc:identifier><dc:title>Modeling individual differences in learning and memory using large language models</dc:title><dc:creator>Jagadish, Akshay Kumar</dc:creator><dc:creator>Rmus, Milena</dc:creator><dc:creator>Mathony, Marvin</dc:creator><dc:creator>Schulz, Eric</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Computational cognitive models allow formalizing theories of cognition and arbitration between competing accounts. Traditional cognitive modeling (1) entails carefully handcrafting cognitive models, which require substantial domain knowledge and programming expertise; (2) favors single shared model class for all participants, limiting its ability to capture the full range of individual differences. Recent advances in large language models (LLMs) offer a new route for addressing these challenges. In this work, we develop a pipeline for scalable generation of computational cognitive models that prompts an LLM to propose a bespoke cognitive model for each participant given task instructions, their full behavioral trajectory, and a code template, and iteratively refines its proposal based on its predictive performance. In the domains of planning and working memory, we find the resulting models contain participant-specific mechanisms that accurately capture individual differences in learning and memorization, leading to substantial improvement in predictive performance while passing all posterior-predictive checks.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Computer Science</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Learning</dc:subject><dc:subject>Machine learning</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Neural Networks</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1m26r4hg</dc:identifier><dc:identifier>https://escholarship.org/content/qt1m26r4hg/qt1m26r4hg.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8272934t</identifier><datestamp>2026-07-31T12:44:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8272934t</dc:identifier><dc:title>It could go one of two ways: Possible upcoming shifts in meaning shape predictive processing</dc:title><dc:creator>Kraus, Sheridan</dc:creator><dc:creator>Troyer, Melissa</dc:creator><dc:date>2026-01-01</dc:date><dc:description>During language comprehension, young adults routinely predict upcoming words, which is believed to facilitate processing. The cognitive operations involved in recovery from dis-confirmed predictions are not yet well understood. Here, we asked whether the degree to which a sentence meaning might change upon the encountering of an unexpected (plausible) word in strongly constraining contexts might impact the dynamics of predictive processing. We examined two ERP components believed to index aspects of prediction confirmation and disconfirmation, frontal negativities and late frontal positivities respectively. We collected behavioral ratings comparing sentences with the most expected continuation vs. an unexpected but plausible alternative. Surprisingly, these ratings modulated the amplitude of frontal negativities to expected continuations, but there was no evidence for a relationship between these ratings and LFPs . These findings add to research showing that individuals track aspects of the meaning of never-encountered but plausible alternatives as they understand language in real time.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Language understanding</dc:subject><dc:subject>Predictive Processing</dc:subject><dc:subject>Electroencephalography (EEG)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8272934t</dc:identifier><dc:identifier>https://escholarship.org/content/qt8272934t/qt8272934t.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1p24m7tr</identifier><datestamp>2026-07-31T12:44:06Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1p24m7tr</dc:identifier><dc:title>Decoding Abstract Relations: Investigating the Neural Representation of Relational Categories in the Human Brain</dc:title><dc:creator>Dunn, Anthony Tyler</dc:creator><dc:creator>Alfred, Katherine L</dc:creator><dc:creator>Ichien, Nicholas</dc:creator><dc:creator>Aubrey, Brianna</dc:creator><dc:creator>Baia, Sophia Rose</dc:creator><dc:creator>Bunge, Silvia</dc:creator><dc:creator>Kraemer, David J. M.</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Analogical reasoning requires representations of relations between concepts that generalize beyond their semantic meaning (e.g., "fruit:apple" and "car:sedan" both instantiate a "category:exemplar" relation). We asked whether abstract relations are encoded only during analogical reasoning or also arise implicitly during semantic processing. Across two tasks, we modeled abstract relations using representational similarity analysis. Relational categories were incidental to the first task (semantic relatedness judgments), allowing us to test for implicit activation, whereas the second required analogy judgments. RSA revealed regions that reflected relational categories across both tasks, with additional task-specific effects. To test whether representations supporting analogical reasoning generalize to those during semantic processing, we trained a classifier on data from analogy judgments to decode categories and tested it on data from semantic relatedness judgments, providing evidence for a shared format. These findings support a network that encodes abstract relations independent of analogical reasoning demands.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Concepts and categories</dc:subject><dc:subject>Representation</dc:subject><dc:subject>fMRI</dc:subject><dc:subject>Knowledge representation</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1p24m7tr</dc:identifier><dc:identifier>https://escholarship.org/content/qt1p24m7tr/qt1p24m7tr.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7jg3j944</identifier><datestamp>2026-07-31T12:44:05Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7jg3j944</dc:identifier><dc:title>Source-Object Familiarity Inflates JOUs, Even for Inapt Analogies</dc:title><dc:creator>Griffin, Thomas D</dc:creator><dc:creator>Hildenbrand, Lena</dc:creator><dc:creator>Wiley, Jennifer</dc:creator><dc:creator>Jaeger, Allison</dc:creator><dc:creator>LaDue, Nicole</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Analogies used in science instruction connect new, unfamiliar science concepts (the target) to common everyday objects or processes that the student is more familiar with (the source). However, that familiarity with the source-objects could inflate readers' judgments of understanding (JOUs) for the target science concepts, even when the analogies are too superficial or inapt to improve actual understanding. The first experiment showed that novice students without prior geoscience experience are particularly susceptible to JOU inflation in response to superficial geoscience analogies. The second experiment showed that JOUs are inflated even when the analogies are inapt, consisting of familiar source objects that are randomly paired with the target geoscience concepts. Additional results further support that analogies cause novice learners to ignore judgment cues related to geoscience knowledge in favor of prior familiarity with the source object, undermining evaluation of the target concept and its analogized relation to the source.</dc:description><dc:subject>Education</dc:subject><dc:subject>Analogy</dc:subject><dc:subject>Instruction and teaching</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Reading</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7jg3j944</dc:identifier><dc:identifier>https://escholarship.org/content/qt7jg3j944/qt7jg3j944.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8mx739q0</identifier><datestamp>2026-07-31T12:44:04Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8mx739q0</dc:identifier><dc:title>Analogical Reasoning about THINGS</dc:title><dc:creator>Ludwig, Tobias</dc:creator><dc:creator>Hege, Paul</dc:creator><dc:creator>Rastelli, Clara</dc:creator><dc:creator>Siegel, Markus</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Analogical reasoning is a cornerstone of cognition, but how analogies are solved by human subjects is incompletely understood. Here, we present experiments using a new test set of common-sense analogies between concrete object categories drawn from the THINGS dataset, which can be presented verbally and pictorially, along with a set of parametrically generated analogies between abstract shapes. N=50 subjects completed these analogies with high accuracy, and performance was correlated across semantic and abstract tasks. We quantified semantic distance and parallelity of our analogies and find that these measures are significantly related to experimental results; in particular, analogies for which the geometry in semantic space is closer to a parallelogram are solved faster and more accurately. Our findings thus relate human and machine understanding of abstract and concrete analogies.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Analogy</dc:subject><dc:subject>Concepts and categories</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Semantics of language</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8mx739q0</dc:identifier><dc:identifier>https://escholarship.org/content/qt8mx739q0/qt8mx739q0.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8qf0v5p3</identifier><datestamp>2026-07-31T12:43:54Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8qf0v5p3</dc:identifier><dc:title>Visuospatial Encoding in Algebraic Processing: Evidence from a Dual-Task Study</dc:title><dc:creator>Zhou, Qi</dc:creator><dc:creator>Qin, Jike</dc:creator><dc:creator>Roberts, Daniel</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Algebraic competence is a critical foundation for advanced mathematical reasoning and success in STEM disciplines. However, whether algebraic processing relies on phonological or visuospatial encoding remains a central debate in cognitive psychology. We investigated the representational format of algebraic knowledge using a dual-task paradigm with 50 adult participants performing an algebra task concurrently with either a phonological or a visuospatial working memory (WM) task. While algebraic performance remained resilient under load, results revealed a selective interference effect on the secondary WM task: algebra significantly impaired visuospatial, but not phonological, WM performance. This impairment on visuospatial WM performance only suggests that algebra and visuospatial processing compete for a shared cognitive pathway, providing robust evidence for the visuospatial grounding of algebraic thinking.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Problem Solving</dc:subject><dc:subject>Representation</dc:subject><dc:subject>Quantitative Behavior</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8qf0v5p3</dc:identifier><dc:identifier>https://escholarship.org/content/qt8qf0v5p3/qt8qf0v5p3.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt24c4h6w2</identifier><datestamp>2026-07-31T12:43:53Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt24c4h6w2</dc:identifier><dc:title>A Computational Model of Self-Signaling in Procrastination</dc:title><dc:creator>Friedman, Yoni</dc:creator><dc:creator>Okoroafor, Junior Chinomso</dc:creator><dc:creator>Hung, Allison Kate</dc:creator><dc:creator>Mishra, Nilay</dc:creator><dc:creator>Tenenbaum, Joshua B.</dc:creator><dc:date>2026-01-01</dc:date><dc:description>People often procrastinate on tasks that they are ostensibly motivated to complete. We argue that dominant formal accounts – particularly temporal discounting models – capture the impulsive nature of procrastination but struggle to provide comprehensive cognitive explanations of three central features: which tasks people procrastinate on, why procrastination often feels bad, and when people finally begin working after a period of procrastinating.

We propose a computational framework to explain the mechanisms of avoidance in procrastination. In our model, agents choose how much effort to exert by reasoning over a probabilistic generative model of task progress over time. This structure supports inferences about competence and task difficulty from noisy progress signals. Crucially, agents incur an additional cost for negative belief updates about their own competence, capturing an aversion to appearing incompetent that motivates self-handicapping. With this structure, the model reproduces key behavioral, affective and cognitive signatures of procrastination.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Causal reasoning</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/24c4h6w2</dc:identifier><dc:identifier>https://escholarship.org/content/qt24c4h6w2/qt24c4h6w2.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt56p7k3g4</identifier><datestamp>2026-07-31T12:43:48Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt56p7k3g4</dc:identifier><dc:title>Crosslinguistic patterns of phrasal word order support efficient prediction</dc:title><dc:creator>Futrell, Richard</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Across languages, word order within phrases shows robust
statistical regularities: dependents are typically ordered con-
sistently by type, word order tends to be harmonic with the
head near an edge, and more strongly associated dependents
tend to occur closer to the head. Existing accounts often derive
these properties from separate mechanisms or stipulations. I
propose a unified efficiency-based explanation grounded in in-
formation theory: the idea is that languages are organized so
that it is possible to make good predictions using only small
amounts of memory. Using simulations of nouns modified by
multiple adjectives differing in association strength to the noun,
I compare linguistically motivated ordering policies that vary
in consistency, harmony, and locality. Across sampled source
distributions, I find that memory requirements for prediction are
minimal in orders that are simultaneously harmonic, consistent,
and local. I analyze why these effects arise: consistency makes
upcoming category structure predictable from small amounts of
context, and harmony makes phrase boundaries easy to antici-
pate. The results suggest that diverse crosslinguistic patterns of
phrasal order may reflect a general pressure to make incremental
prediction simple.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Language Production</dc:subject><dc:subject>Predictive Processing</dc:subject><dc:subject>Syntax</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/56p7k3g4</dc:identifier><dc:identifier>https://escholarship.org/content/qt56p7k3g4/qt56p7k3g4.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5668m34g</identifier><datestamp>2026-07-31T12:43:47Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5668m34g</dc:identifier><dc:title>Ability vs Adaptability: What Dynamics Reveal</dc:title><dc:creator>Alonso Diaz, Santiago</dc:creator><dc:creator>Ramos-Mercado, Jorge D.</dc:creator><dc:creator>Giraldo Huertas, Juan J</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Stable trait estimates from sequential task performance fail to separate ability from adaptability: the real-time recalibration of cognitive control parameters that improves execution without acquiring new knowledge. This conflation biases ability estimates. We develop a tractable framework measuring adaptability through trial-by-trial performance dynamics in mathematical cognition tasks. Across large datasets (N&amp;gt;10,000), adaptability strongly predicts math achievement and is uncorrelated with traditional ability measures, establishing it as an independent construct critical for understanding individual differences in cognitive performance.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Other</dc:subject><dc:subject>Perception</dc:subject><dc:subject>Sensory Processing</dc:subject><dc:subject>Skill acquisition and learning</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Mathematical modeling</dc:subject><dc:subject>Quantitative Behavior</dc:subject><dc:subject>Statistics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5668m34g</dc:identifier><dc:identifier>https://escholarship.org/content/qt5668m34g/qt5668m34g.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2kb9d5rk</identifier><datestamp>2026-07-31T12:43:46Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2kb9d5rk</dc:identifier><dc:title>From idiosyncratic narratives to social scripts: Mapping the semantic space of self-descriptions in children and adults</dc:title><dc:creator>Perez, Karla E</dc:creator><dc:creator>Bergey, Claire Augusta</dc:creator><dc:creator>Hawkins, Robert</dc:creator><dc:creator>Gweon, Hyowon</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Self-description is a routine part of daily life, but choosing what to reveal about ourselves is a cognitively sophisticated communicative act. How do children talk about themselves, and how do they differ from adults? To characterize developmental changes in self-description, we asked 3- to 4-year-old children and adults to share 12 things about themselves. We analyzed over 3,000 self-descriptions using qualitative annotations and sentence embeddings to quantify their semantic structure. Children generated small, idiosyncratic "islands" of self-description, sampling narrowly from a specific topic, whereas adults' responses spanned a broader semantic range, reflecting a more "scripted" approach. While preliminary and descriptive in nature, our work demonstrates how advances in natural language processing can be leveraged to quantify and visualize developmental changes in self-description. The results are consistent with the possibility that self-description evolves from idiosyncratic narratives to a normative social act, raising new questions about the cognitive underpinnings of this development.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Cognitive development</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>Pragmatics</dc:subject><dc:subject>Semantic memory</dc:subject><dc:subject>Semantics of language</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2kb9d5rk</dc:identifier><dc:identifier>https://escholarship.org/content/qt2kb9d5rk/qt2kb9d5rk.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4vh4407j</identifier><datestamp>2026-07-31T12:43:45Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4vh4407j</dc:identifier><dc:title>Testing Temporal Binding and Memory Accounts: A Comparison of Interval and Line Length Judgments</dc:title><dc:creator>Hemmer, Pernille</dc:creator><dc:creator>Mahdinia, Fatemeh</dc:creator><dc:creator>Duffy, Sean</dc:creator><dc:creator>van der Wel, Robrecht</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Temporal binding (TB), the perceived compression in time between an action and its effect versus an observed action and its effect, has been viewed as an implicit measure of sense of agency (SoA). SoA refers to the feeling of control over our actions and their outcomes. Recent work has raised methodological and theoretical concerns about the TB paradigm. Most problematically, the TB effect may be explained by a regression-to-the mean pattern commonly observed as a memory bias, rather than as an effect related to SoA. We tested this possibility using two structurally equivalent tasks. Participants completed a standard TB task and a well-established memory task (line length estimation) that we equated on all aspects to allow for direct comparison. We did not replicate the TB effect; instead, both the time interval and line length conditions showed classic regression-to-the-mean memory effects, consistent with predictions from the Category Adjustment Model (Huttenlocher, 2000).</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Action</dc:subject><dc:subject>Cognition of Time</dc:subject><dc:subject>Embodied Cognition</dc:subject><dc:subject>Event cognition</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Motor control</dc:subject><dc:subject>Predictive Processing</dc:subject><dc:subject>Situated cognition</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4vh4407j</dc:identifier><dc:identifier>https://escholarship.org/content/qt4vh4407j/qt4vh4407j.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6jj2p8fs</identifier><datestamp>2026-07-31T12:43:29Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6jj2p8fs</dc:identifier><dc:title>Human-Like Anaphor Resolution in Large Language Models</dc:title><dc:creator>Zhang, Keane</dc:creator><dc:creator>Chinta, Varshini</dc:creator><dc:creator>Shah, Raj Sanjay</dc:creator><dc:creator>Varma, Sashank</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Anaphors are expressions that refer to other expressions, called antecedents. The process of connecting the two is called resolution. Cognitive science has identified multiple factors that affect the speed and success of anaphor resolution, including discourse structure, situation-model properties, and semantic factors. Here, we investigate whether these factors also affect anaphor resolution in five Large Language Models (LLMs) with open weights: GPT-2-XL, Llama-3.1-8B, Pythia-12B, Mistral-7B, and Mistral-24B. To model processing difficulty, we adopt the standard linking hypothesis that relates human reading times to model surprisal at the anaphor. As a second behavioral measure, we compare model accuracy to human accuracy on comprehension questions probing the antecedents of anaphors.The results show selective cognitive alignment: some LLMs exhibit human-like sensitivity to discourse prominence and distance-based factors in anaphor resolution, while showing weaker or absent sensitivity to semantic interference effects. These findings delimit the conditions under which LLMs approximate human anaphor resolution.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6jj2p8fs</dc:identifier><dc:identifier>https://escholarship.org/content/qt6jj2p8fs/qt6jj2p8fs.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1286f5bx</identifier><datestamp>2026-07-31T12:43:29Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1286f5bx</dc:identifier><dc:title>Semantic centrality captures key aspects of knowledge construction: Behavioral and neural evidence of learning from a STEM video lecture</dc:title><dc:creator>Lee, Yeongji</dc:creator><dc:creator>Kraemer, David J. M.</dc:creator><dc:date>2026-01-01</dc:date><dc:description>When learning from educational content, we must simultaneously remember individual pieces of information and integrate them into a coherent conceptual framework. Previous work has shown that semantic network structure predicts what people remember from narratives, but whether these same principles extend to academic learning remains unknown. In this study, participants watched a 15-minute physics lecture and completed free recall during fMRI scanning. Using Sentence-BERT embeddings to quantify semantic centrality, we found that central information was better recalled and, critically, participants who recalled more units of central information demonstrated better conceptual understanding as rated by human raters (r = .73). In a voxel-wise encoding analysis, we modeled brain responses during lecture viewing using the same SBERT features, and this brain-model mapping predicted behavioral outcomes in selective cortical regions. These findings suggest that the embedding space of large language models reflects relevant aspects of how our minds organize newly learned conceptual information.</dc:description><dc:subject>Learning</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>fMRI</dc:subject><dc:subject>Knowledge representation</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1286f5bx</dc:identifier><dc:identifier>https://escholarship.org/content/qt1286f5bx/qt1286f5bx.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8sr8n1bk</identifier><datestamp>2026-07-31T12:42:58Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8sr8n1bk</dc:identifier><dc:title>Elements of the Neurobiology of Language: A Neurostimulation Model</dc:title><dc:creator>Williamson, T. R.</dc:creator><dc:creator>Hartwigsen, Gesa</dc:creator><dc:creator>Kinsey, Kristofer</dc:creator><dc:creator>Barua, Neil U.</dc:creator><dc:creator>Heffer, Naomi</dc:creator><dc:creator>Kuhnke, Philipp</dc:creator><dc:creator>Mariotti, Sonia</dc:creator><dc:creator>McKnight, Eimear</dc:creator><dc:creator>Wiernik, Lydia</dc:creator><dc:creator>Sedgmond, Jemma</dc:creator><dc:creator>Vogt, Antonia</dc:creator><dc:creator>Piasecki, Anna E.</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Models of the neurobiology of language often rely on correlative neuroimaging techniques and ambiguous terminology derived from linguistic theory (e.g., 'semantics') rather than regions' functional profiles. The brain's cytoarchitecture and the capacity to functionally affect cognition via neurostimulation imply greater precision may be possible. We systematically reviewed 221 of tES, TMS, and DES papers modulating linguistic processes and qualitatively analysed by-paper outcomes to infer the specific subprocess actually modulated, which we term an element. We uncover 608 distinct elements of the neurobiology of language from 22 different languages and nearly 6,300 participants. These elements apply over a 7-level hierarchy of process specificity, help to redefine the operable terms of language neuroscience, and enable generalised functional characterisation of key nodes of the language network. The model is available for scientific use via an online database (https://www.language-elements.org/) and has clinical applications for planning awake craniotomies with neuro-oncology patients.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Linguistics</dc:subject><dc:subject>Neuroscience</dc:subject><dc:subject>Big data</dc:subject><dc:subject>Brain Stimulation</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8sr8n1bk</dc:identifier><dc:identifier>https://escholarship.org/content/qt8sr8n1bk/qt8sr8n1bk.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6vq9j198</identifier><datestamp>2026-07-31T12:42:56Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6vq9j198</dc:identifier><dc:title>Less Talk, More Code: Practice-Based Instruction Improves Programming Skill Acquisition</dc:title><dc:creator>Gold, Gillian</dc:creator><dc:creator>Tjaden, Jacob</dc:creator><dc:creator>Carvalho, Paulo F.</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Introductory computer science education often emphasizes watching experts write and explain code. We investigate whether practice-based instruction improves programming skills relative to traditional lectures and which features of practice make it effective. In this preregistered experiment (N = 250), we compared three approaches for an introductory programming lesson: watching a video, code tracing visualizations, and writing code with immediate, AI-generated feedback. Participants who engaged in practice-based instruction performed significantly better than those who watched the video on a novel code-generation test, with the highest performance among learners who practiced writing code. Practice-based instruction also resulted in reduced distraction and increased interest. Whereas video and code tracing conditions led to overconfidence about programming abilities, code writing led to underconfident self-assessments. These findings suggest that active practice, particularly generative practice with feedback, supports learning with advantages in cognitive processing, metacognition, and interest in programming.</dc:description><dc:subject>Education</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:subject>Skill acquisition and learning</dc:subject><dc:subject>Quantitative Behavior</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6vq9j198</dc:identifier><dc:identifier>https://escholarship.org/content/qt6vq9j198/qt6vq9j198.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3mg6r8tz</identifier><datestamp>2026-07-31T12:42:53Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3mg6r8tz</dc:identifier><dc:title>Estimating Task Representations in a Multidimensional Bandit Task: A Method for Revealing Meta-level Learning</dc:title><dc:creator>Tsukamura, Yuki</dc:creator><dc:creator>Ueda, Kazuhiro</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Humans must learn not only which options pay off, but also which features are worth learning about. Yet such meta-level task representations are difficult to observe directly. We propose an inverse inference approach for estimating an individual's hypothesis space over feature dimensions in a multidimensional bandit task. Building on a model previously supported when the hypothesis space is known, we instantiate the model for each candidate hypothesis space and identify the space that best predicts each participant's choice sequence using hierarchical Bayesian estimation and WAIC-based model comparison. In an online experiment, participants' choice accuracy improved both within games and across games, suggesting adaptation at multiple timescales. Moreover, the inferred spaces shifted on average toward the true task structure. These results indicate that changes in task representations are associated with improvements in structured reward learning, and provide a measurement framework for developing process-level models of meta-level learning.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Learning</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3mg6r8tz</dc:identifier><dc:identifier>https://escholarship.org/content/qt3mg6r8tz/qt3mg6r8tz.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1jz0c1kn</identifier><datestamp>2026-07-31T12:42:53Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1jz0c1kn</dc:identifier><dc:title>First steps in simulating semantic and phonological impairments in aphasia with a computational model of speech processing</dc:title><dc:creator>Malharin, Ihintza</dc:creator><dc:creator>Saavedra, Belen</dc:creator><dc:creator>Peng, Linkai</dc:creator><dc:creator>Mancini, Simona</dc:creator><dc:creator>Magnuson, James</dc:creator><dc:date>2026-01-01</dc:date><dc:description>EARSHOT is a model of human speech processing that learns to map real speech to semantic representations (Magnuson et al., 2020). We report first steps towards simulating aspects of aphasia with EARSHOT by damaging increasing proportions of randomly selected weights in different model layers. Although the model is purely receptive, we simulated naming/identification tasks by presenting spoken words to damaged models and measuring the cosine similarity of the output to every word in the
lexicon, with the model's naming/identification response operationalized as the word with highest cosine similarity. For errors, we evaluated phonetic and semantic similarity of the response to the target vector. We were interested in how robust EARSHOT would be to damage, and whether we might observe systematic patterns of phonetic vs. semantic deficits following damage to different model components. As expected, lower-level damage impaired phonology most, and higher-level damage most affected semantics. Further development could turn EARSHOT into a valuable tool for enhancing understanding of aphasia.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Language understanding</dc:subject><dc:subject>cognitive neuropsychology</dc:subject><dc:subject>Computational neuroscience</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1jz0c1kn</dc:identifier><dc:identifier>https://escholarship.org/content/qt1jz0c1kn/qt1jz0c1kn.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt39n1g8g6</identifier><datestamp>2026-07-31T12:42:41Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt39n1g8g6</dc:identifier><dc:title>Co-Overcooked: Cognitive Constraints on Partner Modeling in Human-AI Team Composition</dc:title><dc:creator>Kim, Junghwan</dc:creator><dc:creator>Heo, Dongseok</dc:creator><dc:creator>Kim, Kyusik</dc:creator><dc:creator>Lee, Jung</dc:creator><dc:creator>Suh, Bongwon</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Effective collaboration requires accurate mental models of one's partners. Current AI agents, however, may not model humans the way humans model each other under real-time constraints, creating an asymmetry in human-AI teamwork.
Prior research has focused on one-human-one-AI settings, leaving open how coordination changes when multiple humans work with multiple AI agents simultaneously.
We developed Co-Overcooked, a four-player cooking game where teams of humans and LLM agents must coordinate in real time.
In a within-subjects experiment (N=40), participants experienced four team compositions varying in human-to-AI ratio: four humans (H4A0), three humans with one AI (H3A1), two humans with two AIs (H2A2), and one human with three AIs (H1A3).
Results revealed nonlinear patterns: H3A1 and H1A3 teams performed worse than pure AI teams, while H2A2 teams showed better performance through spontaneous one-human-one-AI pairing strategies.
We identified expectation conflict, where multiple humans hold divergent models of a shared AI partner, as a coordination difficulty specific to hybrid teams, and propose cognitive ownership as a design principle for human-AI team configuration.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Group Behaviour</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/39n1g8g6</dc:identifier><dc:identifier>https://escholarship.org/content/qt39n1g8g6/qt39n1g8g6.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt20n8w6bf</identifier><datestamp>2026-07-31T12:42:41Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt20n8w6bf</dc:identifier><dc:title>A rational cascade from teaching explains strategy discovery in development: The case of early addition</dc:title><dc:creator>Giles, Merrick</dc:creator><dc:creator>Perfors, Andrew</dc:creator><dc:creator>Mollica, Francis</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Without being taught, children learning addition discover strategies that are faster and less error-prone than those in their repertoire. Leading explanations of strategy discovery propose metacognitive mechanisms where children iteratively rewrite their existing strategies. Departing from this tradition, we propose that children make discoveries through a combination of reconstructive imitation during teaching, followed by rational inference under basic performance pressures. We instantiate our proposal with a model of Bayesian program induction with a prior for algorithmic simplicity and a likelihood that first encodes a pressure of mimicry (teaching phase), and then a pressure for speed and/or accuracy (individual practice phase). Regardless of whether the pressure is to respond faster or more accurately, the model robustly captures the long-observed developmental trajectory of strategy discovery.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Cognitive development</dc:subject><dc:subject>Statistical learning</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/20n8w6bf</dc:identifier><dc:identifier>https://escholarship.org/content/qt20n8w6bf/qt20n8w6bf.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1t98h285</identifier><datestamp>2026-07-31T12:41:39Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1t98h285</dc:identifier><dc:title>Using Photographs to Understand the Context of Health: A Novel Two-Step Systematic Process for Coding Visual Data</dc:title><dc:creator>Jih, Jane</dc:creator><dc:creator>Nguyen, Antony</dc:creator><dc:creator>Woo, Jasmin</dc:creator><dc:creator>Ly, Alison</dc:creator><dc:creator>Shim, Janet K</dc:creator><dc:date>2023-10-01</dc:date><dc:description>In qualitative research, photographs and other visual data have been used with oral narratives in ethnography, interviews, and focus groups to convey and understand the perceptions, attitudes, and lived experiences of participants. Visual methodologies that incorporate photographic data include photo elicitation, which has varied approaches with the inclusion of photographs generated by researchers or participants, and Photovoice, which is a form of photo elicitation focused on participatory action research. Current literature provides insufficient guidance on a systematic coding process of visual data elements that could maximize capturing of visual data for qualitative analysis. We describe our rationale and process for developing a two-step systematic process for coding visual data, specifically photographs. The two-step systematic process for coding photographs involves coding the foreground (focal point) and then the background of the photograph, using separate codebooks. Application of this two-step coding approach resulted in surfacing additional rich data on the health-related contexts and environments in which participants lived. Incorporation of this methodology could enhance understanding of the context of health and generate ideas and new directions of inquiry.</dc:description><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>44 Human Society (for-2020)</dc:subject><dc:subject>Eye Disease and Disorders of Vision (rcdc)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Qualitative Research (mesh)</dc:subject><dc:subject>Focus Groups (mesh)</dc:subject><dc:subject>Photography (mesh)</dc:subject><dc:subject>Anthropology</dc:subject><dc:subject>Cultural (mesh)</dc:subject><dc:subject>Health Services Research (mesh)</dc:subject><dc:subject>photo elicitation</dc:subject><dc:subject>visual methodology</dc:subject><dc:subject>photo coding</dc:subject><dc:subject>health-related contextual factors</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Photography (mesh)</dc:subject><dc:subject>Focus Groups (mesh)</dc:subject><dc:subject>Qualitative Research (mesh)</dc:subject><dc:subject>Anthropology</dc:subject><dc:subject>Cultural (mesh)</dc:subject><dc:subject>Health Services Research (mesh)</dc:subject><dc:subject>health-related contextual factors</dc:subject><dc:subject>photo coding</dc:subject><dc:subject>photo elicitation</dc:subject><dc:subject>visual methodology</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Qualitative Research (mesh)</dc:subject><dc:subject>Focus Groups (mesh)</dc:subject><dc:subject>Photography (mesh)</dc:subject><dc:subject>Anthropology</dc:subject><dc:subject>Cultural (mesh)</dc:subject><dc:subject>Health Services Research (mesh)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:subject>16 Studies in Human Society (for)</dc:subject><dc:subject>17 Psychology and Cognitive Sciences (for)</dc:subject><dc:subject>Nursing (science-metrix)</dc:subject><dc:subject>42 Health sciences (for-2020)</dc:subject><dc:subject>44 Human society (for-2020)</dc:subject><dc:rights>CC-BY-NC-ND</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1t98h285</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1177/10497323231198196</dc:identifier><dc:type>article</dc:type><dc:source>Qualitative Health Research, vol 33, iss 12</dc:source><dc:coverage>1049 - 1058</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6hj808rs</identifier><datestamp>2026-07-31T12:38:27Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6hj808rs</dc:identifier><dc:title>Who benefits more from cognitive training? Analysis of improvement profiles in children using clustering methods</dc:title><dc:creator>Boscolo, Martina</dc:creator><dc:creator>Paz, Gabriel</dc:creator><dc:creator>Vladisauskas, Melina</dc:creator><dc:creator>Shalom, Diego E</dc:creator><dc:creator>Hermida, Maria Julia</dc:creator><dc:creator>Goldin, Andrea Paula</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Executive functions (EF) are important cognitive functions for educational and life success that can be improved through cognitive training. For more than fifteen years, our team has implemented Mate Marote, a gaming software to train and assess EF in children. Interventions last 1 to 4 months and take place within schools, with successful results. We present a clustering analysis of an experiment where 66 6-year-olds' EF were evaluated before and after an intervention of about 27 sessions of 10-15 minutes each, distributed over 3 months. The aim was to determine how participants are grouped according to their improvement after cognitive training. The k-means method was used. In addition, groups were characterized and compared in terms of sociodemographic and academic variables. We discuss results and implications for the analysis of performance profiles in cognitive training, as well as the appropriateness of clustering analysis in the field.</dc:description><dc:subject>Cognitive Neuroscience</dc:subject><dc:subject>Cognitive development</dc:subject><dc:subject>Skill acquisition and learning</dc:subject><dc:subject>Brain Stimulation</dc:subject><dc:subject>Classroom studies</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6hj808rs</dc:identifier><dc:identifier>https://escholarship.org/content/qt6hj808rs/qt6hj808rs.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3158q5g6</identifier><datestamp>2026-07-31T12:38:21Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3158q5g6</dc:identifier><dc:title>Speaking of Decisions: Using Verbal Decision Protocols and Large Language Models to Uncover Psychological Mechanisms Involved in Decision Making</dc:title><dc:creator>Pantoja, Maue</dc:creator><dc:creator>Fischer, Olivia</dc:creator><dc:creator>Lob, Aaron Benjamin</dc:creator><dc:creator>Frey, Renato</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Many theories of decision making have proposed that diverse psychological mechanisms (e.g., mechanisms related to affect, goals, or social factors) shape people's decisions under risk and uncertainty. How best to study such mechanisms during decision making? In a preregistered study (N = 699), we tested whether six experimentally induced mechanisms (incidental anger, cognitive load, lack of knowledge, goal pursuit, descriptive social norms, and time pressure) leave linguistic traces during decision making and can thus be identified with large language models (LLMs). To this end, participants completed four decision-making tasks while recording verbal decision protocols (VDPs). We then inferred the presence of psychological mechanisms in VDPs using "speech-to-psych", a newly developed analysis pipeline leveraging different LLM pipelines. Across analytic methods and decision contexts, psychological mechanisms as induced by experimental conditions could be identified at above-chance level (average area under the curve = .61). Feature importance scores revealed that this identification frequently relied on linguistic markers associated with the targeted psychological mechanism. These results indicate that at least some psychological mechanisms leave detectable linguistic traces and that LLM-based analyses could serve as a powerful measurement tool for advancing process-level understanding of decision making.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Machine learning</dc:subject><dc:subject>Natural Language Processing</dc:subject><dc:subject>Verbal protocol studies</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3158q5g6</dc:identifier><dc:identifier>https://escholarship.org/content/qt3158q5g6/qt3158q5g6.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3066z00z</identifier><datestamp>2026-07-31T12:38:21Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3066z00z</dc:identifier><dc:title>Cultural Differences in the Effect of Mask Use on Cross-Race Face Perception: An Eye-Tracking Study</dc:title><dc:creator>Zheng, Yueyuan</dc:creator><dc:creator>Chen, Danni</dc:creator><dc:creator>Palermo, Romina</dc:creator><dc:creator>Hu, Xiaoqing</dc:creator><dc:creator>Hsiao, Janet</dc:creator><dc:date>2026-01-01</dc:date><dc:description>We recruited Asian and White adults to examine cultural differences in the effect of mask use on face scanning behavior and social categorization. Mask use impaired social categorization accuracy for White but not Asian faces, suggesting the diagnostic features for Asian faces were more in the eyes. Consistent with this finding, Asian adults showed a bias to categorize ambiguous faces as Asian regardless of the mask condition, whereas White adults exhibited a similar bias only for masked faces, resulting in a larger mask effect. In face scanning behavior, mask use made Asian adults look more towards the left as opposed to the right eye compared with White adults. A more right-eye-biased pattern due to mask was associated with an increased mask effect in ambiguous face categorization, suggesting a link between cultural differences in face scanning behavior and social categorization. These findings have important implications for social cognition with mask use.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Culture</dc:subject><dc:subject>Face Processing</dc:subject><dc:subject>Perception</dc:subject><dc:subject>Eye tracking</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3066z00z</dc:identifier><dc:identifier>https://escholarship.org/content/qt3066z00z/qt3066z00z.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9hr3v3pq</identifier><datestamp>2026-07-31T12:37:33Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9hr3v3pq</dc:identifier><dc:title>Computational Frameworks for Modeling Moral Cognition and Cooperation</dc:title><dc:creator>Le Pargneux, Arthur</dc:creator><dc:creator>Kleiman-Weiner, Max</dc:creator><dc:creator>Maier, Maximilian</dc:creator><dc:creator>Lie-Panis, Julien</dc:creator><dc:creator>Tenenbaum, Joshua B.</dc:creator><dc:date>2026-01-01</dc:date><dc:description>There is widespread agreement across disciplines that morality has evolved to facilitate cooperation among agents with conflicting interests. Traditional approaches to the study of morality and cooperation either abstain from formal models (e.g., moral psychology in social psychology) or model cooperation without much concern for underlying psychological processes (e.g., evolutionary models of reciprocity, kin selection etc.). Computational cognitive scientists are starting to enrich classic computational frameworks (Bayesian inference, reinforcement learning, game theory, expected utility) with psychological mechanisms, traits, and constraints (Theory of Mind, metacognition, trust, joint planning, resource rationality) to model behavior, learning and evolutionary processes, and develop a finer understanding of the cognitive underpinnings of morality and cooperation. This progress is accelerated by current advances in modeling (probabilistic programming languages specialized for social cognition, large-language models, multi-agent RL) and computational efficiency (GPUs, numerical computation). Building formal models of moral cognition and cooperation that are both computationally precise and psychologically rich opens the door for cumulative progress in our understanding of their principles, origins, and functioning, and for the engineering of cooperative and ethical capabilities in artificial systems.</dc:description><dc:subject>Anthropology</dc:subject><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Biology</dc:subject><dc:subject>Philosophy</dc:subject><dc:subject>Psychology</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9hr3v3pq</dc:identifier><dc:identifier>https://escholarship.org/content/qt9hr3v3pq/qt9hr3v3pq.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7q6407kv</identifier><datestamp>2026-07-31T12:37:32Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7q6407kv</dc:identifier><dc:title>Coherence and Bayesian Reasoning in Legal Judgment: How Verdicts Reshape Evidence Evaluation</dc:title><dc:creator>Qiao, Mengxuan Helen</dc:creator><dc:creator>Kamper, David G.</dc:creator><dc:creator>Lagnado, David</dc:creator><dc:creator>Holyoak, Keith</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Coherence-based theories propose that decision-makers reinterpret evidence to align with emerging conclusions. Prior research on legal decision-making demonstrated coherence shifts in ratings of agreement, but it remains unclear whether similar effects can be found using normative measures. Across three studies, participants evaluated prosecution and defense arguments in a mock burglary case before and after rendering verdicts. In Study 1, participants exhibited clear coherence shifts: guilty verdicts associated with increased agreement with prosecution arguments and decreased agreement with defense arguments, whereas not-guilty verdicts produced the opposite pattern. In Studies 2a–b, the shift of likelihood-based measures of arguments strength across testing periods did not align with verdicts. A constraint satisfaction model predicted mean shifts from pre- to post-verdict evaluations, and a Bayesian network using participants' post-verdict probability estimates closely approximated empirical guilt judgments. It appears that verdicts and post-verdict evaluations of evidence are consistent with Bayesian inference while driven by coherence.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7q6407kv</dc:identifier><dc:identifier>https://escholarship.org/content/qt7q6407kv/qt7q6407kv.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7z0791h1</identifier><datestamp>2026-07-31T12:37:30Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7z0791h1</dc:identifier><dc:title>Self-Explaination Improves Multiple Document Integration</dc:title><dc:creator>Moe, Miranda</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Individuals are frequently presented with information that must be integrated across multiple sources. The current study ex- plores the role of self-explanation strategies in supporting across-text integration during multiple document comprehen- sion. Participants (n=139) read a multiple document text set, while either self-explaining or thinking aloud, then com- pleted verification questions (sentence and inference verifica- tion), a prior knowledge test, and an essay task. Results demonstrated that participants with higher prior knowledge outperformed those with lower knowledge across comprehen- sion assessments. Critically, self-explanation was associated with higher performance on across-text inference verification items, with no corresponding effect for within-text inferences. Computational linguistic analyses revealed that self-explanation was associated with increased cohesion in readers' constructed responses across lexical, semantic, and connective-based in- dices. Together, these findings suggest that self-explanation promotes integration during multiple-document comprehension by strengthening inferential coherence-building mechanisms, and that across-text integration represents a key challenge that benefits from strategic instructional support.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Discourse</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Language Comprehension</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Reading</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7z0791h1</dc:identifier><dc:identifier>https://escholarship.org/content/qt7z0791h1/qt7z0791h1.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt57b407jm</identifier><datestamp>2026-07-31T12:37:29Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt57b407jm</dc:identifier><dc:title>The Ratchet Effect in Silico: How Interaction Drives Cumulative Intelligence in Large Language Models</dc:title><dc:creator>Zhuang, Ren</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Human intelligence scales through cumulative cultural evolution (CCE), a ratchet process in which innovations are retained against entropic drift. Large language model training, by contrast, still depends primarily on static corpora and parameter growth, leaving little room for endogenous accumulation through interaction. We present POLIS (Population Orchestrated Learning and Inference Society), a framework in which heterogeneous agents generate solutions, verify one another's outputs, retain validated artifacts in shared cultural memory, and internalize them through parameter updates. On mathematical reasoning benchmarks, populations of 1--4B-parameter models achieved average gains of 8.8--18.9 points over base models and narrowed the gap to 70B+ monoliths. Mechanistic ablations identify peer verification as the main ratchet operator and show that internalization sustains accumulation across rounds, providing computational evidence that epistemic vigilance organizes durable knowledge growth. These results position structured social interaction as a scaling lever orthogonal to parameter count.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Distributed cognition</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Agent-based Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/57b407jm</dc:identifier><dc:identifier>https://escholarship.org/content/qt57b407jm/qt57b407jm.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8876t64k</identifier><datestamp>2026-07-31T12:37:28Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8876t64k</dc:identifier><dc:title>When giving more makes you look worse: paradoxical inferences in a Bayesian model of social evaluation</dc:title><dc:creator>Horner, Madeleine</dc:creator><dc:creator>Btesh, Victor</dc:creator><dc:creator>Moore, Adam</dc:creator><dc:creator>Quillien, Tadeg</dc:creator><dc:date>2026-01-01</dc:date><dc:description>People readily infer how much another agent cares about their
welfare, for example after observing this agent give them some of
what they have. However, these inferences become more difficult
when there is uncertainty over the resources someone has to share,
a common real-world scenario. We develop a Bayesian com-
putational model of how people infer the welfare trade-off ratio
(WTR) of another agent under resource uncertainty. This model
predicts that under uncertainty people should average over differ-
ent possible hypotheses about their partner's resources. In a be-
havioral study (N = 129), we found that across donation amounts
participants' WTR estimates closely tracked those made by our
Bayesian model. Notably, participants exhibited the following
paradoxical pattern predicted by our model: they sometimes saw
agents as less generous when they gave them more money, in
cases where a high donation revealed that the agent is rich and
is giving a comparatively small portion of their resources. These
findings demonstrate that people are able to make sophisticated
inferences consistent with rational Bayesian reasoning, updating
their beliefs about a partner's resources and adjusting their WTR
estimates accordingly.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Emotion</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8876t64k</dc:identifier><dc:identifier>https://escholarship.org/content/qt8876t64k/qt8876t64k.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6gt8k6qh</identifier><datestamp>2026-07-31T12:36:54Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6gt8k6qh</dc:identifier><dc:title>What Do You Think I Think? Accounting for Human Beliefs Using Second-Order Theory of Mind</dc:title><dc:creator>Callaghan, Patrick</dc:creator><dc:creator>Simmons, Reid</dc:creator><dc:creator>Admoni, Henny</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Discrepancies between an agent's actual knowledge and what a person thinks the agent knows can hinder interactions. If an agent could detect such discrepancies, it could provide feedback to account for them and improve current and future interactions. Using the I-POMDP as a framework for a second-order Theory of Mind (ToM-2), this work endows an agent with the ability to model the evolution of a person's erroneous beliefs about an agent and the cognitive biases and heuristics (CBH) from which they arise. In doing so, the agent can detect when CBH might be at play during an interaction and adaptively generate feedback that accounts for them. An in-person user study shows how a ToM-2 learner can account for the effects of a teacher's CBH to significantly improve the informativeness of teacher actions, and subjective results suggest people find the ToM-2 learner's feedback more useful.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Human-computer interaction</dc:subject><dc:subject>Interactive behavior</dc:subject><dc:subject>Theory of Mind</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6gt8k6qh</dc:identifier><dc:identifier>https://escholarship.org/content/qt6gt8k6qh/qt6gt8k6qh.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3tb2f6sd</identifier><datestamp>2026-07-31T12:36:25Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3tb2f6sd</dc:identifier><dc:title>Modeling Sarcastic Speech: Semantic and Prosodic Cues in a Speech Synthesis Framework</dc:title><dc:creator>Li, Zhu</dc:creator><dc:creator>Zhang, Yuqing</dc:creator><dc:creator>Gao, Xiyuan</dc:creator><dc:creator>Nayak, Shekhar</dc:creator><dc:creator>Coler, Matt</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Sarcasm is a pragmatic phenomenon in which speakers convey meanings that diverge from literal content, relying on an interaction between semantics and prosodic expression. However, how these cues jointly contribute to the recognition of sarcasm remains poorly understood. We propose a computational framework that models sarcasm as the integration of semantic interpretation and prosodic realization. Semantic cues are derived from an LLaMA 3 model fine-tuned to capture discourse-level markers of sarcastic intent, while prosodic cues are extracted through semantically aligned utterances drawn from a database of sarcastic speech, providing prosodic exemplars of sarcastic delivery. Using a speech synthesis testbed, perceptual evaluations show that semantic and prosodic cues enhance perceived sarcasm, with the combined system achieving the best downstream F1 while maintaining high subjective sarcasm ratings. These findings highlight the complementary roles of semantics and prosody in pragmatic interpretation and illustrate how modeling can shed light on the mechanisms underlying sarcastic communication.</dc:description><dc:subject>Perception</dc:subject><dc:subject>Pragmatics</dc:subject><dc:subject>Semantics of language</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Neural Networks</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3tb2f6sd</dc:identifier><dc:identifier>https://escholarship.org/content/qt3tb2f6sd/qt3tb2f6sd.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3xc356bq</identifier><datestamp>2026-07-31T12:36:23Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3xc356bq</dc:identifier><dc:title>Effects of encouraging vs. reflective feedback on children's explore-exploit decisions</dc:title><dc:creator>Fang, Yijin</dc:creator><dc:creator>Chang, Ariel</dc:creator><dc:creator>Christie, Stella</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Explore-exploit decisions are often made without accurate awareness of one's own behavioral tendencies, limiting effective metacognitive regulation. Feedback has the potential to improve metacognitive calibration, but its effectiveness depends on its informative value. This study examined how encouraging and reflective feedback--differing in informative value--influence children's explore-exploit decisions, while also considering the role of feedback frequency. Results showed that high-frequency reflective feedback reduced children's exploration but led to higher reward performance, suggesting the development of more adaptive search strategies. In contrast, children exhibited a more exploratory search pattern under low-frequent reflective feedback. Although encouraging feedback provided relatively low informative value, both low- and high-frequency delivery sustained high exploration, potentially by fostering emotional safety. Overall, these findings offer practical implications for education, highlighting the importance of strategically balancing affective reassurance and metacognitive control to support children's effective learning and exploration.</dc:description><dc:subject>Education</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Behavioral Science</dc:subject><dc:subject>Cognitive development</dc:subject><dc:subject>Decision making</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3xc356bq</dc:identifier><dc:identifier>https://escholarship.org/content/qt3xc356bq/qt3xc356bq.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1vk876q3</identifier><datestamp>2026-07-31T12:36:23Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1vk876q3</dc:identifier><dc:title>A Study on the Predictors of Problem Difficulty for the Planning Serious Game Tik Tik</dc:title><dc:creator>Dimov, Cvetomir</dc:creator><dc:creator>Bavelier, Daphne</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Tik Tik is a serious game designed to study the cognitive mechanisms of planning by combining ecologically valid navigational demands with a highly flexible problem structure. Drawing on data from three studies totaling 122 participants, we show that Tik Tik problem difficulty is primarily driven by a smart, non-exhaustive search of its problem space, in which character trajectories are represented. Furthermore, we find that working memory and visuo-motor skills contribute, highlighting the types of cognitive representations and skills Tik Tik also taps. Our four-parameter model incorporating these factors explains a large proportion of the variance in problem difficulty. Finally, we compare these cognitive demands to those of the most popular planning task, the Tower of London, highlighting commonalities and differences between these two tasks.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Problem Solving</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:subject>Quantitative Behavior</dc:subject><dc:subject>Statistics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1vk876q3</dc:identifier><dc:identifier>https://escholarship.org/content/qt1vk876q3/qt1vk876q3.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3b16q9j5</identifier><datestamp>2026-07-31T12:36:20Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3b16q9j5</dc:identifier><dc:title>AFSPP: Agent Framework for Shaping Preference and Personality with Large Language Models</dc:title><dc:creator>He, Zihong</dc:creator><dc:creator>Zhang, Changwang</dc:creator><dc:creator>Shen, Junxiao</dc:creator><dc:creator>Liang, Chen</dc:creator><dc:creator>Liang, Hai-Ning</dc:creator><dc:date>2026-01-01</dc:date><dc:description>The evolution of Large Language Models (LLMs) introduced a new paradigm for investigating human behavior emulation. Recent research employs LLM Agents in sociological environments, where they exhibit behavior based on unfiltered LLM characteristics. However, these studies overlook iterative development in human-like settings. Human preference and personality are complex, constantly shaped by environmental and subjective influences. We propose the Agent Framework for Shaping Preference and Personality (AFSPP), exploring the impact of social networks and subjective consciousness on Agents' preference and personality formation. AFSPP demonstrates trends consistent with key findings from human personality experiments. AFSPP-based results indicate that planning, perception, and subjective social networks have the most pronounced influence on preference shaping. AFSPP shows potential to enhance the efficiency of psychological experiments and provides insights into preventing undesirable preference and personality development for trustworthy AI.</dc:description><dc:subject>Artificial Intelligence</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Sociology</dc:subject><dc:subject>Complex systems</dc:subject><dc:subject>Intelligent agents</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3b16q9j5</dc:identifier><dc:identifier>https://escholarship.org/content/qt3b16q9j5/qt3b16q9j5.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7hv4f6wp</identifier><datestamp>2026-07-31T12:36:11Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7hv4f6wp</dc:identifier><dc:title>Causal (In)efficiency: Breaking Markov Violations Through Structural Uncertainty in Causal Chains</dc:title><dc:creator>Marchant, Nicolas</dc:creator><dc:creator>Garrido, Diego Ignacio</dc:creator><dc:creator>Chaigneau, Sergio E.</dc:creator><dc:date>2026-01-01</dc:date><dc:description>One of the most persistent findings in causal cognition is that individuals frequently deviate from normative Bayesian reasoning, most notably through Markov violations, where they incorporate conditionally independent information into their judgments. Recent research has sought rational explanations for these deviations, ranging from structural uncertainty to memory sampling limitations. In this study, we evaluated four rational models using a novel experimental paradigm that introduced structural uncertainty into a causal chain by manipulating the functional properties of the causal links. We found that participants systematically violated the Markov assumption when causal links shared the same mechanism. Computational modeling identified the Bayesian Uncertainty Model (BUM) as the most plausible explanation for these results, with sampling-based methods like the Mutation Sampler appearing as close contenders. We discuss these findings in light of the need to rethink the definition of rationality in Bayesian causal reasoning.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Causal reasoning</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7hv4f6wp</dc:identifier><dc:identifier>https://escholarship.org/content/qt7hv4f6wp/qt7hv4f6wp.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4sw2m8b9</identifier><datestamp>2026-07-31T12:36:11Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4sw2m8b9</dc:identifier><dc:title>From Thread to Number: Weaving as scaffold for mathematical thinking</dc:title><dc:creator>Mendoza Straffon, Larissa</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Mathematical cognition is often studied through formal systems or experimental tasks, leaving open how abstract numerical concepts emerge from everyday practices. This paper reviews ethnographic and ethnomathematical studies of weaving crafts, arguing that these practices minimally and systematically recruit a set of cognitive capacities that are central to quantification: grouping, ordering, pairing, memory, exhaustion detection, and cardinality. Across cultures and technologies, weaving stabilizes these capacities through material constraints, procedural regularity, and visual structure, affording the emergence of geometric and numerical knowledge. Therefore, weaving is put forward as a model system for studying the embodied and culturally scaffolded origins of mathematical abstraction, with implications for theories of numerical cognition and material engagement.</dc:description><dc:subject>Anthropology</dc:subject><dc:subject>Humanities</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Embodied Cognition</dc:subject><dc:subject>Cross-cultural analysis</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4sw2m8b9</dc:identifier><dc:identifier>https://escholarship.org/content/qt4sw2m8b9/qt4sw2m8b9.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8bj2z4h9</identifier><datestamp>2026-07-31T12:36:10Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8bj2z4h9</dc:identifier><dc:title>Modeling Fairness Judgments of Splits Between Multiple Parties</dc:title><dc:creator>Le Pargneux, Arthur</dc:creator><dc:creator>Lie-Panis, Julien</dc:creator><dc:creator>Cashman, Matthew</dc:creator><dc:creator>Cushman, Fiery</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Fair divisions are a fundamental problem for moral cognition. Past experimental work has provided evidence in support of three principles of fairness in divisions between two parties: proportional splits, equal splits, and splits that equalize net gains (the Nash bargaining solution). When the number of parties increases, so does the complexity of such decisions, potentially influencing people's cognitive strategies and their reliance on precise explicit heuristics vs intuitive approximations. We design a novel task in which participants can easily and intuitively sample and select among various distributions of resources between multiple people (2 to 18) by adjusting a continuous slider that updates divisions in real time. In two preregistered experiments (n = 378; 2,268 choices), we quantitatively model participants' fairness judgments at the individual level. We find that participants can be categorized into three main groups. Overall, around 50% are best fitted by proportionality, 40% by the Nash bargaining solution, and fewer than 10% by equality. At the aggregate level, proportionality and the Nash bargaining solution perform best. Fairness judgments remain stable as the number of involved parties increases. When they only have access to the slider (Experiment 1), participants best fitted by the Nash bargaining solution seem to intuitively approximate it, but in an imprecise way. By contrast, they tend to precisely select it when three buttons (one for each model, Experiment 2) are available to automatically adjust the slider. These results suggest that a substantial proportion of participants rely on intuitive approximations for the Nash bargaining solution, consistent with bargaining-based (contractualist) theories of fairness.</dc:description><dc:subject>Psychology</dc:subject><dc:subject>Decision making</dc:subject><dc:subject>Reasoning</dc:subject><dc:subject>Social cognition</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8bj2z4h9</dc:identifier><dc:identifier>https://escholarship.org/content/qt8bj2z4h9/qt8bj2z4h9.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt71v0f96g</identifier><datestamp>2026-07-31T12:36:08Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt71v0f96g</dc:identifier><dc:title>Diversity and Interaction Structure Shape Performance and Search Dynamics in Joint Cognitive Search: An Agent-Based Simulation</dc:title><dc:creator>Rocca, Roberta</dc:creator><dc:creator>Tylen, Kristian</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Cognitive search, conceptualized as information foraging through mental spaces, underpins many daily tasks and is frequently performed jointly. Yet, the mechanisms by which social interaction impacts search dynamics remain understudied. Through three agent-based simulations of a verbal fluency task, we investigated how cognitive diversity and interaction structure modulate collective performance in joint cognitive search. In Experiment 1, under strict turn-taking, moderate diversity benefited performance by inducing increased exploration, but high diversity levels proved detrimental. Experiment 2 revealed that flexible interaction protocols mitigated these costs by enabling distinct, more adaptive search strategies. Experiment 3 demonstrated that enhancing individual cognitive flexibility via working memory mitigated risks related to high diversity. Collectively, these results identify flexibility, whether situated in social interaction protocols or individual cognitive mechanisms, as a critical route for unlocking the benefits of diversity in collective search, and offer a novel computational paradigm to study the emergent mechanics of collective intelligence.</dc:description><dc:subject>Complex systems</dc:subject><dc:subject>Distributed cognition</dc:subject><dc:subject>Interactive behavior</dc:subject><dc:subject>Semantic memory</dc:subject><dc:subject>Agent-based Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/71v0f96g</dc:identifier><dc:identifier>https://escholarship.org/content/qt71v0f96g/qt71v0f96g.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt94g131xm</identifier><datestamp>2026-07-31T12:36:06Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt94g131xm</dc:identifier><dc:title>Recent linguistic experience influences event role identification</dc:title><dc:creator>Ünal, Ercenur</dc:creator><dc:creator>Flecken, Monique</dc:creator><dc:date>2026-01-01</dc:date><dc:description>While events can be identified based on both perceptual and higher-level information, the contribution of language-related factors remains unclear. Here, we examine whether recent linguistic experience modulates event role identification scenes by asking whether verbs with different argument and thematic structures cue abstract event representations that guide subsequent event cognition. Participants briefly viewed agent–patient events (for 300ms) preceded by a transitive verb, an intransitive verb, or a nonsense word control, and then completed a probe-based role identification task. Transitive verb primes facilitated recognition of event roles, yielding faster responses in role-matching trials relative to intransitive and control conditions. These findings show that linguistic cues influence event role identification, especially when their argument and thematic structure aligns with event structures.</dc:description><dc:subject>Linguistics</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Event cognition</dc:subject><dc:subject>Language and thought</dc:subject><dc:subject>Computer-based experiment</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/94g131xm</dc:identifier><dc:identifier>https://escholarship.org/content/qt94g131xm/qt94g131xm.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt40f0s5wx</identifier><datestamp>2026-07-31T12:35:53Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt40f0s5wx</dc:identifier><dc:title>BRAID-Color: Extending a probabilistic model of visual word recognition and reading with color processing to account for the Stroop effect</dc:title><dc:creator>Marques, Bernardo</dc:creator><dc:creator>Charrier, Camille</dc:creator><dc:creator>Steinhilber, Alexandra</dc:creator><dc:creator>Diard, Julien</dc:creator><dc:date>2026-01-01</dc:date><dc:description>The Stroop effect is a well-known phenomenon where participants take longer when they name the color of letters that spell the name of a different color. This effect has been extensively studied, with various proposed theories and computational models. However, most models do not integrate with existing frameworks for color processing or reading, limiting their generalizability. We introduce the BRAID-Color probabilistic model, an extension of BRAID, an existing model of reading and reading acquisition. BRAID-Color consists in adding to an orthographic information processing branch, able to recognize words spelled by a sequence of letters, a color processing branch, able to name colored visual stimuli. Information fusion at the lexical level combines both to simulate color naming with colored letters. With default parameters, simulations in the congruent, neutral and incongruent conditions illustrate that the model successfully and robustly accounts for the Stroop effect.</dc:description><dc:subject>Computer Science</dc:subject><dc:subject>Psychology</dc:subject><dc:subject>Perception</dc:subject><dc:subject>Reading</dc:subject><dc:subject>Bayesian modeling</dc:subject><dc:subject>Computational Modeling</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/40f0s5wx</dc:identifier><dc:identifier>https://escholarship.org/content/qt40f0s5wx/qt40f0s5wx.pdf</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt64f7506v</identifier><datestamp>2026-07-31T12:30:23Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt64f7506v</dc:identifier><dc:title>Physical Activity, Growth, and Inflammatory Mediators in BMI-Matched Female Adolescents</dc:title><dc:creator>ISCHANDER, MARIAM</dc:creator><dc:creator>ZALDIVAR, FRANK</dc:creator><dc:creator>ELIAKIM, ALON</dc:creator><dc:creator>NUSSBAUM, ELIEZER</dc:creator><dc:creator>DUNTON, GENEVIEVE</dc:creator><dc:creator>LEU, SZU-YUN</dc:creator><dc:creator>COOPER, DAN MICHAEL</dc:creator><dc:creator>SCHNEIDER, MARGARET</dc:creator><dc:date>2007-07-01</dc:date><dc:description>PURPOSE: Physical inactivity is deleterious to health, but it has been difficult to determine the extent to which these effects are attributable to abnormal body composition or to factors related to physical activity alone. To begin to gauge independent effects of physical activity on health risk, we matched by BMI two groups of normal-weight adolescent females, one physically active (all participants in high school sports), and one sedentary.
METHODS: Thirty-seven sedentary and 37 physically active adolescent females (mean 15.5 yr) were matched for age and BMI percentile (mean = 58.8). Comparisons included fitness, body composition and bone mineralization (by DEXA), circulating inflammatory cytokines, growth factors, bone-turnover markers, leptin, and adiponectin.
RESULTS: Compared with the normal-weight sedentary girls, active girls had significantly (P &amp;lt; 0.05) higher fitness level (peak VO2 35.5 +/- 5.2 vs 24.4 +/- 4.1 mL.kg(-1).min(-1)), lean body mass (43.2 +/- 4.4 vs 38.7 +/- 3.6 kg), bone mineralization (spinal BMD z-scores 0.04 +/- 0.88 vs -0.41 +/- 0.85), and lower percent body fat (25.4 +/- 04.6 vs 29.7 +/- 03.7%). Additionally, active girls had lower inflammatory cytokines levels (e.g., TNF-alpha 1.7 +/- 1.3 vs 2.6 +/- 2.2 pg.mL(-1)), and leptin (17.4 +/- 11.2 vs 24.7 +/- 14.7 ng.mL(-1)), and higher bone-turnover markers (e.g. osteocalcin 12.6 +/- 7.6 vs 7.8 +/- 3.0 U.L(-1)), IGFBP-3 (6416 +/- 21280 vs 4247 +/- 1082 ng.mL(-1)), and adiponectin levels (11919 +/- 3935 vs 9305 +/- 2843 ng.mL(-1)).
CONCLUSION: The normal-weight, physically active group was fitter and had greater lean body mass, stronger bones, and lower levels of inflammatory markers than did the normal-weight, sedentary group. In adolescent girls, the choice of a lifestyle involving high school sports is characterized by a circulating mediator and body composition pattern that, if sustained, is associated with generally lower long-term risk of cardiovascular disease and osteoporosis.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>4206 Public Health (for-2020)</dc:subject><dc:subject>3202 Clinical Sciences (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>3213 Paediatrics (for-2020)</dc:subject><dc:subject>Osteoporosis (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Nutrition (rcdc)</dc:subject><dc:subject>Obesity (rcdc)</dc:subject><dc:subject>Cardiovascular (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Physical Activity (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Childhood Obesity (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Stroke (hrcs-hc)</dc:subject><dc:subject>Metabolic and endocrine (hrcs-hc)</dc:subject><dc:subject>Cardiovascular (hrcs-hc)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Anthropometry (mesh)</dc:subject><dc:subject>Body Mass Index (mesh)</dc:subject><dc:subject>Bone and Bones (mesh)</dc:subject><dc:subject>California (mesh)</dc:subject><dc:subject>Cardiovascular System (mesh)</dc:subject><dc:subject>Exercise (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Inflammation Mediators (mesh)</dc:subject><dc:subject>Physical Fitness (mesh)</dc:subject><dc:subject>fitness</dc:subject><dc:subject>inflammation</dc:subject><dc:subject>adolescence</dc:subject><dc:subject>bone mineralization</dc:subject><dc:subject>body composition</dc:subject><dc:subject>growth mediators</dc:subject><dc:subject>Bone and Bones (mesh)</dc:subject><dc:subject>Cardiovascular System (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Inflammation Mediators (mesh)</dc:subject><dc:subject>Anthropometry (mesh)</dc:subject><dc:subject>Body Mass Index (mesh)</dc:subject><dc:subject>Exercise (mesh)</dc:subject><dc:subject>Physical Fitness (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>California (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Anthropometry (mesh)</dc:subject><dc:subject>Body Mass Index (mesh)</dc:subject><dc:subject>Bone and Bones (mesh)</dc:subject><dc:subject>California (mesh)</dc:subject><dc:subject>Cardiovascular System (mesh)</dc:subject><dc:subject>Exercise (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Inflammation Mediators (mesh)</dc:subject><dc:subject>Physical Fitness (mesh)</dc:subject><dc:subject>1106 Human Movement and Sports Sciences (for)</dc:subject><dc:subject>1116 Medical Physiology (for)</dc:subject><dc:subject>1117 Public Health and Health Services (for)</dc:subject><dc:subject>Sport Sciences (science-metrix)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:subject>3208 Medical physiology (for-2020)</dc:subject><dc:subject>4207 Sports science and exercise (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/64f7506v</dc:identifier><dc:identifier>https://escholarship.org/content/qt64f7506v/qt64f7506v.pdf</dc:identifier><dc:identifier>info:doi/10.1249/mss.0b013e318053e7a2</dc:identifier><dc:type>article</dc:type><dc:source>Medicine &amp; Science in Sports &amp; Exercise, vol 39, iss 7</dc:source><dc:coverage>1131 - 1138</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2db2p1k7</identifier><datestamp>2026-07-31T12:25:49Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2db2p1k7</dc:identifier><dc:title>The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data</dc:title><dc:creator>Thompson, Paul M</dc:creator><dc:creator>Stein, Jason L</dc:creator><dc:creator>Medland, Sarah E</dc:creator><dc:creator>Hibar, Derrek P</dc:creator><dc:creator>Vasquez, Alejandro Arias</dc:creator><dc:creator>Renteria, Miguel E</dc:creator><dc:creator>Toro, Roberto</dc:creator><dc:creator>Jahanshad, Neda</dc:creator><dc:creator>Schumann, Gunter</dc:creator><dc:creator>Franke, Barbara</dc:creator><dc:creator>Wright, Margaret J</dc:creator><dc:creator>Martin, Nicholas G</dc:creator><dc:creator>Agartz, Ingrid</dc:creator><dc:creator>Alda, Martin</dc:creator><dc:creator>Alhusaini, Saud</dc:creator><dc:creator>Almasy, Laura</dc:creator><dc:creator>Almeida, Jorge</dc:creator><dc:creator>Alpert, Kathryn</dc:creator><dc:creator>Andreasen, Nancy C</dc:creator><dc:creator>Andreassen, Ole A</dc:creator><dc:creator>Apostolova, Liana G</dc:creator><dc:creator>Appel, Katja</dc:creator><dc:creator>Armstrong, Nicola J</dc:creator><dc:creator>Aribisala, Benjamin</dc:creator><dc:creator>Bastin, Mark E</dc:creator><dc:creator>Bauer, Michael</dc:creator><dc:creator>Bearden, Carrie E</dc:creator><dc:creator>Bergmann, Ørjan</dc:creator><dc:creator>Binder, Elisabeth B</dc:creator><dc:creator>Blangero, John</dc:creator><dc:creator>Bockholt, Henry J</dc:creator><dc:creator>Bøen, Erlend</dc:creator><dc:creator>Bois, Catherine</dc:creator><dc:creator>Boomsma, Dorret I</dc:creator><dc:creator>Booth, Tom</dc:creator><dc:creator>Bowman, Ian J</dc:creator><dc:creator>Bralten, Janita</dc:creator><dc:creator>Brouwer, Rachel M</dc:creator><dc:creator>Brunner, Han G</dc:creator><dc:creator>Brohawn, David G</dc:creator><dc:creator>Buckner, Randy L</dc:creator><dc:creator>Buitelaar, Jan</dc:creator><dc:creator>Bulayeva, Kazima</dc:creator><dc:creator>Bustillo, Juan R</dc:creator><dc:creator>Calhoun, Vince D</dc:creator><dc:creator>Cannon, Dara M</dc:creator><dc:creator>Cantor, Rita M</dc:creator><dc:creator>Carless, Melanie A</dc:creator><dc:creator>Caseras, Xavier</dc:creator><dc:creator>Cavalleri, Gianpiero L</dc:creator><dc:creator>Chakravarty, M Mallar</dc:creator><dc:creator>Chang, Kiki D</dc:creator><dc:creator>Ching, Christopher RK</dc:creator><dc:creator>Christoforou, Andrea</dc:creator><dc:creator>Cichon, Sven</dc:creator><dc:creator>Clark, Vincent P</dc:creator><dc:creator>Conrod, Patricia</dc:creator><dc:creator>Coppola, Giovanni</dc:creator><dc:creator>Crespo-Facorro, Benedicto</dc:creator><dc:creator>Curran, Joanne E</dc:creator><dc:creator>Czisch, Michael</dc:creator><dc:creator>Deary, Ian J</dc:creator><dc:creator>de Geus, Eco JC</dc:creator><dc:creator>den Braber, Anouk</dc:creator><dc:creator>Delvecchio, Giuseppe</dc:creator><dc:creator>Depondt, Chantal</dc:creator><dc:creator>de Haan, Lieuwe</dc:creator><dc:creator>de Zubicaray, Greig I</dc:creator><dc:creator>Dima, Danai</dc:creator><dc:creator>Dimitrova, Rali</dc:creator><dc:creator>Djurovic, Srdjan</dc:creator><dc:creator>Dong, Hongwei</dc:creator><dc:creator>Donohoe, Gary</dc:creator><dc:creator>Duggirala, Ravindranath</dc:creator><dc:creator>Dyer, Thomas D</dc:creator><dc:creator>Ehrlich, Stefan</dc:creator><dc:creator>Ekman, Carl Johan</dc:creator><dc:creator>Elvsåshagen, Torbjørn</dc:creator><dc:creator>Emsell, Louise</dc:creator><dc:creator>Erk, Susanne</dc:creator><dc:creator>Espeseth, Thomas</dc:creator><dc:creator>Fagerness, Jesen</dc:creator><dc:creator>Fears, Scott</dc:creator><dc:creator>Fedko, Iryna</dc:creator><dc:creator>Fernández, Guillén</dc:creator><dc:creator>Fisher, Simon E</dc:creator><dc:creator>Foroud, Tatiana</dc:creator><dc:creator>Fox, Peter T</dc:creator><dc:creator>Francks, Clyde</dc:creator><dc:creator>Frangou, Sophia</dc:creator><dc:creator>Frey, Eva Maria</dc:creator><dc:creator>Frodl, Thomas</dc:creator><dc:creator>Frouin, Vincent</dc:creator><dc:creator>Garavan, Hugh</dc:creator><dc:creator>Giddaluru, Sudheer</dc:creator><dc:creator>Glahn, David C</dc:creator><dc:creator>Godlewska, Beata</dc:creator><dc:creator>Goldstein, Rita Z</dc:creator><dc:creator>Gollub, Randy L</dc:creator><dc:creator>Grabe, Hans J</dc:creator><dc:date>2014-06-01</dc:date><dc:description>The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA’s first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way.</dc:description><dc:subject>5202 Biological Psychology (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>52 Psychology (for-2020)</dc:subject><dc:subject>Serious Mental Illness (rcdc)</dc:subject><dc:subject>Schizophrenia (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Biomedical Imaging (rcdc)</dc:subject><dc:subject>Genetics (rcdc)</dc:subject><dc:subject>Depression (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Mental Illness (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Human Genome (rcdc)</dc:subject><dc:subject>2.1 Biological and endogenous factors (hrcs-rac)</dc:subject><dc:subject>Neurological (hrcs-hc)</dc:subject><dc:subject>Mental health (hrcs-hc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Brain Mapping (mesh)</dc:subject><dc:subject>Cooperative Behavior (mesh)</dc:subject><dc:subject>Genome-Wide Association Study (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Meta-Analysis as Topic (mesh)</dc:subject><dc:subject>Neuroimaging (mesh)</dc:subject><dc:subject>Genetics</dc:subject><dc:subject>MRI</dc:subject><dc:subject>GWAS</dc:subject><dc:subject>Consortium</dc:subject><dc:subject>Meta-analysis</dc:subject><dc:subject>Multi-site</dc:subject><dc:subject>Alzheimer’s Disease Neuroimaging Initiative</dc:subject><dc:subject>EPIGEN Consortium</dc:subject><dc:subject>IMAGEN Consortium</dc:subject><dc:subject>Saguenay Youth Study (SYS) Group</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Brain Mapping (mesh)</dc:subject><dc:subject>Cooperative Behavior (mesh)</dc:subject><dc:subject>Meta-Analysis as Topic (mesh)</dc:subject><dc:subject>Genome-Wide Association Study (mesh)</dc:subject><dc:subject>Neuroimaging (mesh)</dc:subject><dc:subject>Brain Mapping (mesh)</dc:subject><dc:subject>Cooperative Behavior (mesh)</dc:subject><dc:subject>Genome-Wide Association Study (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Meta-Analysis as Topic (mesh)</dc:subject><dc:subject>Neuroimaging (mesh)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:subject>17 Psychology and Cognitive Sciences (for)</dc:subject><dc:subject>Experimental Psychology (science-metrix)</dc:subject><dc:subject>32 Biomedical and clinical sciences (for-2020)</dc:subject><dc:subject>42 Health sciences (for-2020)</dc:subject><dc:subject>52 Psychology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2db2p1k7</dc:identifier><dc:identifier>https://escholarship.org/content/qt2db2p1k7/qt2db2p1k7.pdf</dc:identifier><dc:identifier>info:doi/10.1007/s11682-013-9269-5</dc:identifier><dc:type>article</dc:type><dc:source>Brain Imaging and Behavior, vol 8, iss 2</dc:source><dc:coverage>153 - 182</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt09g699kp</identifier><datestamp>2026-07-31T12:18:38Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt09g699kp</dc:identifier><dc:title>No “Golden Hour” in Alaska: Characteristics and Implications of Medevac-centered Emergency Care</dc:title><dc:creator>Rice, Brian</dc:creator><dc:creator>Williams, Chelsea</dc:creator><dc:creator>Chang, Cindy Y</dc:creator><dc:creator>Wood, Jeremy</dc:creator><dc:creator>Saul, Henry</dc:creator><dc:creator>Pritchard, Angelica</dc:creator><dc:creator>Day, Gretchen</dc:creator><dc:creator>Thomas, Timothy</dc:creator><dc:creator>Hao, David</dc:creator><dc:creator>Britton, Carla</dc:creator><dc:creator>Onders, Robert</dc:creator><dc:creator>Hernandez-Boussard, Tina</dc:creator><dc:date>2026-06-17</dc:date><dc:description>Introduction: Rural areas in the United States have higher mortality rates than urban regions, particularly from emergency care-sensitive conditions. Air medical ambulances (medevacs) are critical to emergency care access in the rural U.S., but limited data hinder the ability to study this critical system. In Alaska, medevac services often represent the sole method for connecting Alaska Native patients in remote clinics to physician emergency medical care. This study characterizes medevac use and timing between tribally administered village clinics and hospitals in Northwest Alaska. Our objective in this study was to describe the use and timing of medevacs and investigate how medevac decision-making impacts medevac transport times.
Methods: We conducted a retrospective cohort analysis of medevac transfers between 2020–2024 from 11 Alaskan village clinics within the Maniilaq Association, which serves ~8,000 people over 35,862 square miles.We included 1,579 medevacs representing 1,119 unique patients flying from remote clinics to a central critical access hospital hub.. Our primary outcome measure was the association between short medevac decision times (&amp;lt; 60 minutes), and short total medevac times (&amp;lt; 180 minutes). We measured “flight time,” “decision time,” and “ground time” (time spent waiting for an aircraft to become available) as key components of total medevac time.
Results:&amp;nbsp;A total of 1,579 medevacs were deployed for predominantly Alaska Native (96.8%) patients, of whom 22.2% had traumatic injuries. Between 4.1-7.9% of community members in the region are transported by medevac each year. Median medevac time was 262 minutes (interquartile range [IQR] 196–402 [101–4,142]) from activation call to arrival at the critical access hospital. No medevacs were &amp;lt; 100 minutes. “Ground time” was the longest phase of medevac encounters overall (median ground time 105 minutes (IQR 81–187]) vs median decision time 75 minutes (IQR 42–130) or median flight time 44 minutes (IQR 35–77). We found no association between short medevac decision times and short medevac response time (P = .93). Medevac decision-making was the longest phase in only 6% of the shortest total medevacs (&amp;lt; 190 minutes), but it was the longest phase in 40% of the longest total medevacs ( &amp;gt; 400 minutes).
Conclusion:&amp;nbsp;We found four key themes: 1) no medevacs were &amp;lt; 100 minutes. Independent of human or system factors,atients cannot be transferred from a village clinic to a critical access hospital within the “golden hour” of emergency care; 2) short medevac decision times were not significantly associated with short overall medevac times; 3) the longest phase in a medevac transfer was “ground time”; and 4) in the subset of the longest total medevacs, medevac decision-making was much more likely to be the longest phase than in the shortest total medevacs. This emergency transfer system is not responsive to patient condition and suggests that medevac decision support may help for a subset of encounters.</dc:description><dc:subject>American Indian/Alaska Native</dc:subject><dc:subject>medevac</dc:subject><dc:subject>rural health</dc:subject><dc:subject>health service research</dc:subject><dc:subject>Epidemiology</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/09g699kp</dc:identifier><dc:identifier>https://escholarship.org/content/qt09g699kp/qt09g699kp.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.53174</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7wz4w7v4</identifier><datestamp>2026-07-31T12:18:34Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7wz4w7v4</dc:identifier><dc:title>Emergency Department Closures and Patient Outcomes: Scoping Review of Impacts on Care, Equity, and System Performance</dc:title><dc:creator>Ridha, Zahra</dc:creator><dc:creator>Steiner, Adam</dc:creator><dc:creator>Son, Helena</dc:creator><dc:creator>Upadhye, Suneel</dc:creator><dc:creator>Strobel, Stephenson</dc:creator><dc:date>2026-06-28</dc:date><dc:description>Introduction: Emergency department (ED) closures have become increasingly common across health systems worldwide, reflecting mounting pressures from staffing shortages, resource constraints, and rising patient demand. Closures, whether temporary or permanent, pose potential risks to timely access to emergency care and may significantly impact patient outcomes and healthcare system performance. Despite growing attention from policymakers and the public, academic evidence on real-world impacts of ED closures remains fragmented. In this scoping review we compiled and summarized the current literature directly addressing the impacts of ED closures.
Methods:&amp;nbsp;Using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews criteria, we conducted a search of PubMed.gov, the Cumulative Index to Nursing and Allied Health Literature, and Web of Science databases for papers published in English after the year 2000 that directly addressed ED closures. We screened these papers by title and abstract. This search yielded 15 studies for which we then conducted a forward and backward citation search, ultimately producing 22 unique papers. Data from these papers were initially extracted into a spreadsheet and then organized into thematic tables based on the impacts they discussed.
Results: Our search yielded 1,725 papers, and we ultimately included 22 of these (1.3%). Most studies were observational or quasi-experimental, covering 147 unique ED closures, with some analyzing all United States closures (thousands). We found that we could organize the papers into four themes determined by the impact of ED closures had on the following: 1) patient outcomes (eg, mortality, likelihood of acute myocardial infarction treatment) (n = 14); 2) equity-deserving populations (n = 6); 3) alternate EDs that remain open (n = 10); and 4) on healthcare networks as a whole, including emergency medical services (n = 5). Most of the papers were observational or quasi-experimental in design and drew data from a wide scale of closures, from single-site to national ED closures (&amp;gt; 500 sites). The largest proportion (40%) of studies were based in the U.S.&amp;nbsp;
Conclusion:&amp;nbsp;The literature demonstrated mixed and context-dependent impacts of ED closures. The ED closures consistently adversely affected mortality rates of patients with time-sensitive conditions when travel times or distances exceeded certain thresholds. Closures also disproportionately affected equity-deserving populations. However, the negative impacts were often mitigated in the long term, and were less pronounced in well-resourced systems capable of adaptation. There are key gaps in the literature regarding impacts on conditions that are not time sensitive, on marginalized populations, and on broader system-level performance, which should guide future research.</dc:description><dc:subject>Emergency department closure</dc:subject><dc:subject>patient outcomes</dc:subject><dc:subject>equity-deserving populations</dc:subject><dc:subject>alternate emergency department</dc:subject><dc:subject>healthcare networks</dc:subject><dc:subject>time-sensitive conditions</dc:subject><dc:subject>emergency department restructuring</dc:subject><dc:subject>spillover effect</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7wz4w7v4</dc:identifier><dc:identifier>https://escholarship.org/content/qt7wz4w7v4/qt7wz4w7v4.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.53973</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0fb6x7mh</identifier><datestamp>2026-07-31T12:18:29Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0fb6x7mh</dc:identifier><dc:title>Initial Specimen Diversion Devices for Emergency Department Blood Cultures May Reduce Contamination Rates and Costs: &amp;nbsp;Structured Literature Review</dc:title><dc:creator>Ayres, Makayla D.</dc:creator><dc:creator>Johnson, Maria C.</dc:creator><dc:creator>Andersen, Megan E.</dc:creator><dc:creator>Lewis, Alyson P.</dc:creator><dc:creator>Farrow, Lucas S.</dc:creator><dc:creator>Vopat, Amelia M.</dc:creator><dc:creator>Spears, Kathleen M.</dc:creator><dc:date>2026-07-17</dc:date><dc:description>Introduction: Emergency departments (ED) are a primary site of blood culture collection in the United States. High rates of blood culture contamination, commonly seen in EDs, are associated with diagnostic inaccuracy, unnecessary antibiotic use, and increased costs. In this structured literature review, we evaluated the effectiveness of initial specimen diversion devices (ISSDs), which are attached to the needle tip and discard the initial 0.15-1.5 mL of blood. We paid particular attention to their applicability in reducing blood culture contamination in adult ED patients in rural healthcare settings. The average cost of an ISDD is $15–$30, and this upfront cost creates a significant barrier in rural EDs, which face resource scarcity. &amp;nbsp;
Methods: In this review of primary literature from 2021–2025, we evaluated the efficacy of ISDD in lowering blood culture contamination rates in adult patients in the ED. Our primary outcome was the change in contamination rates after introduction of the ISDD. Secondary outcomes included changes in vancomycin duration of therapy, hospital length of stay, and total hospital costs. &amp;nbsp;
Results:&amp;nbsp;We screened 460 records across PubMed, EBSCO, and Embase. Eight papers were selected for full review, from 10 hospital systems. All studies demonstrated a decrease in the rates of blood culture contamination with the ISDD. Contamination rates were reduced by an average of 2.89% across all 10 study locations. Only three of 10 hospitals (30%) achieved a blood culture contamination rate below 1%. One rural community hospital saw an absolute reduction of BCCs from 3.94% to 1.05%. Another study reported a decrease in total yearly hospital costs from $1,120,000 to $383,690, and another reported a 31.4% reduction in mean duration of &amp;nbsp;vancomycin therapy. &amp;nbsp;
Conclusion: This review shows the clinical value of ISDDs to reduce blood culture contamination, and highlights the need for further research into scalable implementation strategies, especially in resource-constrained systems, like rural hospitals.</dc:description><dc:subject>Blood culture contamination</dc:subject><dc:subject>rural medicine</dc:subject><dc:subject>Emergency department</dc:subject><dc:subject>Emergency medicine</dc:subject><dc:subject>initial specimen diversion devices</dc:subject><dc:subject>resource-limited settings</dc:subject><dc:subject>cost-effectiveness</dc:subject><dc:subject>barriers to implementation</dc:subject><dc:subject>diagnostic stewardship</dc:subject><dc:subject>quality improvement</dc:subject><dc:subject>patient safety</dc:subject><dc:subject>scoping review</dc:subject><dc:subject>post-pandemic</dc:subject><dc:subject>Health equity</dc:subject><dc:subject>Blood culture contamination rural medicine</dc:subject><dc:subject>Rural Medicine</dc:subject><dc:subject>emergency department</dc:subject><dc:subject>Emergency Medicine</dc:subject><dc:subject>resource-limited region</dc:subject><dc:subject>barrier to implementation</dc:subject><dc:subject>Patient Safety</dc:subject><dc:subject>Quality Improvement</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0fb6x7mh</dc:identifier><dc:identifier>https://escholarship.org/content/qt0fb6x7mh/qt0fb6x7mh.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.50723</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt04b3j2cc</identifier><datestamp>2026-07-31T12:18:25Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt04b3j2cc</dc:identifier><dc:title>The Impact of Urinalysis Turnaround Times on Patient Disposition in the Emergency Department</dc:title><dc:creator>Baymon, DaMarcus E.</dc:creator><dc:creator>Hernandez, Patricia</dc:creator><dc:creator>Chen, Paul</dc:creator><dc:creator>Sanchez, Leon D.</dc:creator><dc:creator>Im, Dana</dc:creator><dc:creator>Bukhman, Alice</dc:creator><dc:creator>Joseph, Josh W.</dc:creator><dc:date>2026-07-17</dc:date><dc:description>Introduction: Diagnostic efficiency in the emergency department (ED) is crucial for workflow. Among these, urinalysis (UA) is a key test for abdominopelvic complaints. Prolonged UA turnaround times can extend patient length of stay and reduce patient satisfaction, highlighting the need for improvement. In this study qw sought to measure the correlation between UA turnaround times and time to disposition.
Methods: We conducted a retrospective analysis of discharged ED patients with abdominopelvic complaints who had a UA ordered between January–August 2022. Electronic health records data included UA order-to-result time, urine human chorionic gonadotropin (hCG), time to disposition, and complete blood count (CBC) turnaround time as a venipuncture comparator. Spearman correlation coefficients assessed associations between lab processing times and time to disposition.
Results:&amp;nbsp;Among 6,708 discharged patients included in the study, 3,795 presented with abdominopelvic complaints. In this subgroup, 3,688 &amp;nbsp;UAs, 1,285 urine hCG tests, and 2,966 CBCs were obtained. Median times from UA order-to-specimen receipt and result were 65 (IQR 29-138) and 92 (53-168) minutes, respectively. A modest positive correlation was observed between UA order-to-result time and time to disposition (ρ = 0.46), relative to CBC order-to-result time (ρ = 0.29). The relationship was slightly weaker for urine hCG (ρ = 0.35). Laboratory turnaround times showed minimal correlation with ED time to disposition (UA ρ = 0.04; urine hCG ρ = 0.03; CBC ρ = 0.09).
Conclusion:&amp;nbsp;Urinalysis acquisition and processing times are modestly correlated with time to disposition in patients with abdominopelvic complaints. Reducing collection time for UA and urine hCG tests may improve throughput for this patient cohort.</dc:description><dc:subject>Emergency Department Operations</dc:subject><dc:subject>Urinalysis Turnaround Time</dc:subject><dc:subject>Laboratory Turnaround Time</dc:subject><dc:subject>Length of Stay</dc:subject><dc:subject>Emergency Department Throughput</dc:subject><dc:subject>Diagnostic Efficiency</dc:subject><dc:subject>abdominal pain</dc:subject><dc:subject>Clinical Workflow</dc:subject><dc:subject>operational metrics</dc:subject><dc:subject>Quality Improvement</dc:subject><dc:subject>Specimen Collection Delay</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/04b3j2cc</dc:identifier><dc:identifier>https://escholarship.org/content/qt04b3j2cc/qt04b3j2cc.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.53952</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9d49k7bh</identifier><datestamp>2026-07-31T12:18:21Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9d49k7bh</dc:identifier><dc:title>Clinical Characteristics of an Emergency Department-led Asynchronous Care Platform</dc:title><dc:creator>Shah, Shivam</dc:creator><dc:creator>Suri, Ikaasa</dc:creator><dc:creator>Gordan, Helen</dc:creator><dc:creator>Schwartz, Nicole</dc:creator><dc:creator>Hossain, Rubayet</dc:creator><dc:creator>Apakama, Donald</dc:creator><dc:creator>Khakhkhar, Rishi</dc:creator><dc:creator>Marren, Taylor</dc:creator><dc:creator>Abella, Benjamin S.</dc:creator><dc:creator>Gavin, Nicholas</dc:creator><dc:creator>Abbott, Ethan E</dc:creator><dc:date>2026-06-28</dc:date><dc:description>Background: Asynchronous care has emerged as a promising approach to improving healthcare accessibility while potentially reducing costs, particularly for low-acuity conditions. Our objective was to describe the use patterns, patient characteristics, and short-term clinical outcomes of an emergency department (ED)–led asynchronous care platform managing low-acuity conditions in a large, academic health system.
Methods: We conducted a retrospective cohort study evaluating the Mount Sinai Health System asynchronous care platform for managing urinary tract infections, conjunctivitis, cold sores, vaginal candidiasis, emergency contraception, and oral contraceptive prescriptions between December 2023–October 2024 during an initial rollout period. Individual charts were reviewed by two trained abstractors and two emergency physicians. The primary outcome was any subsequent ED or clinic visit within seven days. Secondary outcomes included change in diagnosis and medication at relevant follow-up visits. We used descriptive statistics to characterize the cohort and outcomes.&amp;nbsp;
Results:&amp;nbsp;During the study period, there were 19,204 ED encounters for conditions matching asynchronous care chief complaint categories, of which 343 encounters (1.8%) from 277 unique patients were managed via the asynchronous care platform. The median patient age was 32.6 years (interquartile range IQR 28.3–41.2), and 258 (93.1%) were female. Overall chief complaints included cystitis/urinary complaints in 157 (45.8%) encounters, conjunctivitis/eye complaints in 57 (16.6%), and vaginal/vulvar candidiasis in 96 (28.0%). At the encounter level, 18 (5.2%) were up-triaged from the asynchronous care platform to synchronous virtual urgent care or in-person evaluation after initial screening. We observed the primary outcome of a subsequent ED or clinic visit within seven days in 68 patients (24.5%). Five patients (1.5%; 95% CI, 0.5-3.5%) were identified with a change in diagnosis within the seven-day outcome window, with all diagnostic changes occurring within 1-3 days of the index asynchronous care encounter (median one day).
Conclusion:&amp;nbsp;In this single-center study, an asynchronous care platform demonstrated a viable pathway for managing select low-acuity conditions in an urban academic health system. This structured platform, with appropriate triage pathways and low rates of diagnostic discordance, shows promise as a model to expand access to care for select low-acuity complaints.</dc:description><dc:subject>asynchronous care</dc:subject><dc:subject>Digital health</dc:subject><dc:subject>Emergency Medicine</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9d49k7bh</dc:identifier><dc:identifier>https://escholarship.org/content/qt9d49k7bh/qt9d49k7bh.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.53265</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt835359hd</identifier><datestamp>2026-07-31T12:18:17Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt835359hd</dc:identifier><dc:title>Does Skin Color Influence Differential Diagnosis Generation&amp;nbsp;in a Simulated Cardiac Arrest?</dc:title><dc:creator>Miller, Hannah</dc:creator><dc:creator>Tarrant, Claudia</dc:creator><dc:creator>Lamberson, Miles</dc:creator><dc:creator>Nicholas, Cate</dc:creator><dc:creator>Dolbec, Katherine</dc:creator><dc:date>2026-06-28</dc:date><dc:description>Introduction: It is not known whether skin color influences inclusion of substance use on medical students’ differential diagnoses for a simulated cardiac arrest. Our objective in this study was to investigate whether the presence of a dark-skinned or light-skinned manikin in the lab correlated with their decision to include substance use on the differential as a possible cause of cardiac arrest.
Methods: In this study at a single institution, all fourth-year medical students in an emergency medicine course participated in a manikin-based cardiac arrest simulation case. The simulation sessions alternated between the use of a light-skinned and a dark-skinned manikin. Both were adult sized. After the first shock was delivered, students individually documented their differential diagnosis for the cause of the cardiac arrest on deidentified, free-text research forms. We excluded forms if they were blank, had been completed by a non-medical student, or could not be associated with the skin color of the manikin used. The primary outcome measure was how often students included substance use as a cause of cardiac arrest anywhere in their differential diagnoses. We compared the relationship between manikin skin color and the students’ consideration of substance use as a cause of cardiac arrest, using the Fisher exact test.&amp;nbsp;
Results:&amp;nbsp;Of 270 eligible participants, 271 surveys were returned; 75 (27.7%) were excluded. Of the remaining 196 surveys, 96 were associated with the light-skinned and 100 with the dark-skinned manikin. Among the 100 respondents using the dark-skinned manikin, one student (1%) listed substance use as the leading diagnosis, while none (0%) of the students using the light-skinned manikin listed substance use as the leading diagnosis. In each group, only 20% of students (n = 39 total) listed substance use anywhere on the differential diagnosis (P = 1.00).&amp;nbsp;
Conclusion:&amp;nbsp;Among fourth-year medical students participating in a simulated cardiac arrest, we found no correlation between manikin skin color and the inclusion of substance use on their differential for cardiac arrest. Overall, their decision to include substance use in their differentials was low regardless of skin color, suggesting the need to improve their awareness of substance use as a potential cause of cardiac arrest.</dc:description><dc:subject>Simulation</dc:subject><dc:subject>medical students</dc:subject><dc:subject>Skin color</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/835359hd</dc:identifier><dc:identifier>https://escholarship.org/content/qt835359hd/qt835359hd.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.53204</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6197w2hs</identifier><datestamp>2026-07-31T12:18:13Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6197w2hs</dc:identifier><dc:title>Implementing a Multimodal Palliative Care Curriculum: Impact on Knowledge, Confidence, and Skills</dc:title><dc:creator>Hase, Travis</dc:creator><dc:creator>Ndiaye, Cindy</dc:creator><dc:creator>Putman, Margaret</dc:creator><dc:date>2026-06-28</dc:date><dc:description>Introduction: Emergency physicians frequently care for patients with serious or terminal illnesses, yet they often lack formal palliative care training. Our primary objective was to develop a structured, multimodal palliative care curriculum for emergency medicine (EM) residents and evaluate whether this curriculum improved residents’ knowledge, comfort level, and perceived application of skills to care for patients with chronic or terminal illness in the emergency department (ED). Our secondary objective was to determine whether EM residents found palliative care education important and to identify which educational modalities are most effective for acquiring palliative care knowledge and skills.
Methods:&amp;nbsp;We implemented an eight-hour multimodal curriculum for EM residents at a single, large Level I trauma center (four hours of didactics, a three-hour simulated patient communication skills lab, and one hour of high-fidelity simulation). Our primary outcome was pre- and post-intervention surveys (12 questions) that assessed perceived knowledge, comfort, and skill application on five-point Likert scales. We analyzed paired responses using the Wilcoxon signed-rank test, with a P value of &amp;lt; .05 considered statistically significant. Effect size was calculated using Cohen d. Our secondary outcome measure was a post-intervention survey (six questions) that assessed participants’ opinions on the effectiveness of the different educational methods.
Results:&amp;nbsp;There was a 100% response rate among 41 residents from all postgraduate years 1-3. Significant improvements (P &amp;lt; .001) were observed in residents’ self-reported abilities across all domains with large effect sizes. Median scores and interquartile ranges increased for conducting goals-of-care discussions (4 [3–4] vs 4 [4–5]), interpreting advance directives (3 [2–4] vs 4 [4–4]), managing end-of-life symptoms (3 [2–3] vs 4 [3–4]), communicating bad news (3 [2–4] vs 4 [4–4]), and coordinating with palliative or hospice teams (2 [2–3] v. 4 [4–4]). All educational modalities were rated effective, with simulation and small-group sessions preferred over lectures.
Conclusion: A structured, multimodal palliative care curriculum significantly enhanced EM residents’ perceived preparedness to manage patients with palliative care needs. Embedding didactic and simulation-based palliative training in EM residencies is both feasible and impactful, addressing critical gaps in palliative competencies and aligning with national best-practice guidelines.</dc:description><dc:subject>palliative care</dc:subject><dc:subject>Emergency Medicine</dc:subject><dc:subject>Curriculum Intervention</dc:subject><dc:subject>Simulation</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6197w2hs</dc:identifier><dc:identifier>https://escholarship.org/content/qt6197w2hs/qt6197w2hs.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.53884</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9067g1zz</identifier><datestamp>2026-07-31T12:18:09Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9067g1zz</dc:identifier><dc:title>9-1-1 Call Data Modeling to Assess the Influence of a Mass Gathering on Host Community Metrics for Syndromic Surveillance</dc:title><dc:creator>Yancey, Arthur H</dc:creator><dc:creator>Robinson, Elijah</dc:creator><dc:creator>McMahan, Timothy</dc:creator><dc:creator>Cotsonis, George A</dc:creator><dc:date>2026-06-17</dc:date><dc:description>Introduction: Multi-day planned mass gatherings are prevalent in various forms of sports competitions, concerts, professional, political, and religious conferences. The largest, the World Cup competition, will be hosted by large cities of the United States, Canada, and Mexico in June and July, 2026. These can present risks to the health of spectators, participants, organizers, and host communities, which if discovered faster, facilitates more effective responses in preventing morbidity/mortality. This study demonstrates visually modeled 9-1-1 medical data that uniquely contributes to existing syndromic surveillance activities by its practicality and time sensitivity.&amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;Objectives: Using data from the nine-day period of 2019 Super Bowl LIII festivities, this retrospective, quantitative, descriptive, population-based study was conducted to demonstrate how 9-1-1 emergency medical dispatch (EMD) data could be practically modeled to more rapidly detect changes from baseline host community 9-1-1 data. Our ultimate objective is to illustrate these visual models in the attempt to improve syndromic surveillance. &amp;nbsp;&amp;nbsp;
Methods: All 9-1-1 medical calls from three host municipalities were processed and categorized at the Grady Emergency Medical Services (EMS) Communications Center during game day and eight preceding days of festivities (time frame-standardized to nine-day events period). This events period call volume was contrasted to that of the identical nine-day pre- and post-events periods. The mean 24 one-hour interval call volumes for each day of these three periods were analyzed. &amp;nbsp;Data visualization techniques (a data table, bar graphs, geo-, and heat-mapping) were constructed to illustrate differences in 9-1-1 call volumes of three categories (hypothermia, traffic injury incidents, and violence-induced injuries), for the three periods. The most similar previous such studies were reviewed and related to our study.
Results: The events period call volume (3,267) was less than that in pre- (3,356) and post-(3,460) events totals. Directional (increasing versus decreasing) patterns in hourly call frequencies were similar among all three periods. Cold exposure calls decreased across the three periods (successive period were 9, 7, and 4 respectively). Changes in traffic incidents were minimal (36, 39, and 38, respectively). Violent act injury calls increased during the post-events period (151, 150, and 166, respectively).&amp;nbsp;
Conclusion: Data from 9-1-1 calls could provide readily discoverable trends reflective of clinically significant syndromes threatening host community health status associated with planned mass gatherings. The study demonstrates practical data modeling to enhance syndromic surveillance. &amp;nbsp;Recommendations are offered for enhancing 9-1-1 data analysis in conducting syndromic surveillance.</dc:description><dc:subject>Emergency Medical Dispatch</dc:subject><dc:subject>Mass Gatherings</dc:subject><dc:subject>Syndromic Surveillance</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9067g1zz</dc:identifier><dc:identifier>https://escholarship.org/content/qt9067g1zz/qt9067g1zz.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.53142</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0nx0k83t</identifier><datestamp>2026-07-31T12:18:05Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0nx0k83t</dc:identifier><dc:title>Comparison of Emergency Department Boarders Managed by a Critical Care Consult Service versus Standard Care</dc:title><dc:creator>Johnson, Matthew</dc:creator><dc:creator>Bracey, Alexander</dc:creator><dc:creator>Ata, Ashar</dc:creator><dc:creator>DaSilva, William</dc:creator><dc:creator>Geary, Sean Patrick</dc:creator><dc:creator>Aly, Iman</dc:creator><dc:creator>Hayashi, Warren</dc:creator><dc:creator>Leavitt, Rachel</dc:creator><dc:creator>Mantas, James</dc:creator><dc:creator>Hanowitz, Christopher</dc:creator><dc:creator>Duncan, Luke J</dc:creator><dc:creator>Pauze, Denis</dc:creator><dc:creator>Wu, Gregory P</dc:creator><dc:date>2026-06-28</dc:date><dc:description>Introduction: Emergency department (ED) boarding of critically ill patients awaiting intensive care unit (ICU) admission has been associated with delays in time-sensitive interventions, prolonged lengths of stay (LOS), increased crowding, and higher incidence of morbidity and mortality. To address this, our institution implemented an ED critical care consult team in 2020 and established a resuscitation and emergency critical care fellowship in 2022. The critical care consult team, staffed by emergency physicians with additional resuscitation or critical care training, provides consultative support for resuscitations and the management of boarding critically ill patients 10 hours per day, with the dual goals of improving clinical care and optimizing patient flow. The primary outcome of this study was to evaluate the rate of patients downgraded from their initial admission level of care (ICU, Intermediate care) to a lesser intensity of care (intermediate, ward, home). Secondary outcomes included ED, ICU, and hospital LOS.&amp;nbsp;
Methods: We conducted a retrospective chart review of all patients ≥ 18 years old with ICU or intermediate care admission orders placed between November 1–30, 2024. Patients were sequentially identified via the electronic health record, and clinical and quality assurance data were collected in a REDCap database.&amp;nbsp;
Results:&amp;nbsp;During the study period, the ED critical care consult team was active on 73% of days, staffed primarily by resuscitation and emergency critical care fellows. Of 372 eligible patients, 18% (68/372) were managed by the critical care consult team after initial assessment by primary emergency physician staff, while 82% (304/372) served as controls and did not have involvement with the critical care consult team. Patients evaluated by the team had higher acuity, with 30.9% presenting with an Emergency Severity Index (ESI) score 1 compared to 4.6% in the control group. Despite this, the downgrade rate was significantly higher in the ED3CT cohort (29.4% vs 11.8%, p=0.001). No differences were observed in ED (0.62 days vs 0.60 days, P = .80), ICU (5.1 days vs. 5.2 days, P = .93), or hospital LOS (9.7 days vs 10.8 days, P = .68).
Conclusion:&amp;nbsp;These findings suggest that ED-based critical care physicians, including fellows in training, may facilitate earlier identification of patients suitable for lower levels of care despite initially higher acuity. While there was no change in ED, ICU, and hospital length of stay, it is possible that this is related to systemic problems with hospital bed availability. The high rate of downgrades highlights the benefits of ED-based critical care physicians advancing care of critically ill patients boarding in the ED.</dc:description><dc:subject>Critical care</dc:subject><dc:subject>boarding</dc:subject><dc:subject>resuscitation</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0nx0k83t</dc:identifier><dc:identifier>https://escholarship.org/content/qt0nx0k83t/qt0nx0k83t.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.53002</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6b536830</identifier><datestamp>2026-07-31T12:18:00Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6b536830</dc:identifier><dc:title>Emergency Front-of-neck Access: Comparing Needle and Surgical Cricothyrotomy Using a Human Cadaver Model</dc:title><dc:creator>Boccio, Eric</dc:creator><dc:creator>Levi, Daniel</dc:creator><dc:creator>Bonz, James</dc:creator><dc:creator>Belsky, Justin</dc:creator><dc:creator>D'Amore, Jason</dc:creator><dc:date>2026-06-28</dc:date><dc:description>Introduction: Emergency front-of-neck access may serve as a life-saving intervention when facing patients with difficult airways. Cricothyrotomy consists of needle and surgical techniques and is performed in approximately 0.2-0.5% of all airway management attempts. Our primary aim in this study was to compare procedural completion time and first-pass success of needle and surgical approaches to cricothyrotomy by civilian and military practitioners using a human cadaver model.
Methods: Emergency medicine (EM) attendings and residents and U.S. Air Force Pararescue specialists were randomized to perform either a needle or surgical cricothyrotomy on an unfixed human cadaver a single time following a 30-minute didactic session about both procedure types. We recorded procedural completion time, first-pass success, frequency and type of observed complications, and subject level of training. Our primary outcome measure was procedural completion time. Secondary outcome measures included first-pass success and complication rates. We used a Wilcoxon signed-rank test to compare the difference in median completion times between needle and surgical groups. We performed a Cox regression analysis to evaluate the relationship between technique and procedural completion time while adjusting for subject level of training. Chi-squared or Fisher exact tests were used to compare unadjusted first-pass success and complication frequencies between needle and surgical groups. Multivariable logistic regression analysis modeling the association between technique and first-pass success and complication events while adjusting for subject level of training was performed.
Results: A total of 99 subjects were enrolled, and 19 (19%), 68 (69%), and 12 (12%) were classified as EM attending, EM resident, and Pararescue specialist, respectively; 51 (52%) and 48 (48%) were randomized into the needle and surgical groups, respectively. The median time to procedural completion was shorter in the needle group than the surgical group (56.5 seconds [sec], 95% confidence interval, 54-66 sec vs 65 sec, 95% CI, 59-73 sec, respectively). The difference in median completion times was 8 sec (95% CI, -1.0 to 17 sec, P = .08). The hazard ratio comparing completion time of surgical to needle cricothyrotomy while adjusting for level of training was 1.41 (95% CI, 0.93-2.13, P = .11). First-pass success and complication rates were similar between the needle and surgical groups (94% vs 94%, P = .32, and 27% vs 33%, P = .52, respectively). The adjusted odds ratios comparing the likelihoods of first-pass success and complication between surgical and needle groups while adjusting for level of training were 1.06 (95% CI, 0.20-5.54, P = .95) and 1.40 (95% CI, 0.55-3.56, P = .48), respectively.
Conclusion: In this study using unfixed human cadavers, needle and surgical cricothyrotomy demonstrated comparable performance regarding procedural completion time, first-pass success, and complication rates. The 8-second difference in median completion time between groups was not found to be statistically significant and is unlikely to be clinically significant given the typical oxygen reserves in an apneic patient. These findings suggest that for practitioners in civilian and military settings, both needle and surgical cricothyrotomy remain viable options for emergency front-of-neck access, assuming adequate operator-level procedural proficiency and access to necessary equipment.&amp;nbsp;</dc:description><dc:subject>emergency front of neck access</dc:subject><dc:subject>needle cricothyrotomy</dc:subject><dc:subject>surgical cricothyrotomy</dc:subject><dc:subject>advanced airway management</dc:subject><dc:subject>high acuity low occurrence procedure</dc:subject><dc:subject>Pararescue specialist</dc:subject><dc:subject>unfixed human cadaver</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6b536830</dc:identifier><dc:identifier>https://escholarship.org/content/qt6b536830/qt6b536830.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.52840</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6cv87835</identifier><datestamp>2026-07-31T12:17:56Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6cv87835</dc:identifier><dc:title>Patient Monitor Position and Operator Ability to Visualize a Desaturation Event During Intubation</dc:title><dc:creator>Boccio, Eric</dc:creator><dc:creator>Perkins, Rachelle</dc:creator><dc:creator>Bonz, James</dc:creator><dc:date>2026-06-17</dc:date><dc:description>Introduction: During endotracheal intubation, equipment setup typically includes the patient monitor fixed at the head of the bed behind the back of the operator. Inability to directly visualize the patient monitor may result in delayed recognition of desaturation. Our primary aim in this study was to measure the association between patient monitor position and the time to recognition of a desaturation event during endotracheal intubation.
Methods: We performed a randomized crossover trial of emergency medicine residents across two Accreditation Council for Graduate Medical Education-accredited programs. Subjects were asked to perform direct and video-assisted laryngoscopy once on a difficult airway trainer in a simulation. The sequence of laryngoscopy modality (direct vs video-assisted) and monitor position (head vs left vs right of bed) were randomized prior to each attempt. The simulated patient’s peripheral capillary oxygen saturation (SpO2 ) was programmed to begin at 100% and decrease at a rate of 1% per second 10 seconds after the start of the subject’s attempt. The primary outcome measure was time to operator recognition of hypoxia defined as the observed period during which the simulated SpO2 was &amp;lt; 90%. Secondary outcomes were operator failure to visualize a desaturation event. We rendered Kaplan-Meier curves illustrating the time to visualization of hypoxia and performed a Cox regression adjusting for laryngoscopy modality and total number of previous intubations performed. Using multivariable linear regression, we modeled the association between time to recognition of hypoxia in seconds and patient monitor position with similar adjustments. To assess differences in the number of observed failure events between study arms, we used chi-squared or Fisher exact tests. The threshold for statistical significance was a two-sided P &amp;lt; 0.05.
Results: We observed 68 attempts by 34 subjects. Twenty-two (32.5%), 22 (32.5%), and 24 (35%) intubations were performed with the monitor positioned at the head, left, and right, respectively. The median times to recognition of hypoxia were 37 seconds [sec] (95% CI, 25-86 sec) for the head, 32 sec (95% CI, 18-50 sec) for the left, and 23 sec (95% CI, 19-34 sec) for the right groups, respectively. Cox regression demonstrated hazard ratios of 2.7 and 3.2 for the left and right groups when compared to the head group, and these findings were statistically significant (P = .04 and P = 0.03, respectively). We found no statistically significant associations between time to recognition of hypoxia and laryngoscopy modality or total number of previous intubations (P = .82 and .21, respectively). Failure rates across head, left, and right groups were similar, at 36%, 59%, and 50%, respectively (P = .30).
Conclusion: Positioning of the patient monitor at the head of the bed results in delayed visualization of desaturation events during simulated direct and video-assisted laryngoscopy across different levels of experience. Ideally, the patient monitor should be positioned on the side of the bed and within the operator’s direct line of sight. Further research is warranted to assess how equipment setup may impact procedural performance, operator ergonomics, and patient safety.</dc:description><dc:subject>patient monitor position</dc:subject><dc:subject>endotracheal intubation</dc:subject><dc:subject>advanced airway management</dc:subject><dc:subject>desaturation event</dc:subject><dc:subject>procedural ergonomics</dc:subject><dc:subject>Medical Simulation</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6cv87835</dc:identifier><dc:identifier>https://escholarship.org/content/qt6cv87835/qt6cv87835.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.52933</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8z7577b8</identifier><datestamp>2026-07-31T12:17:51Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8z7577b8</dc:identifier><dc:title>Autologous Fat Transfer Procedure Complications in Four Emergency Departments in Miami, Florida</dc:title><dc:creator>Lee, Mary Bridget</dc:creator><dc:creator>Goldstein, Joshua</dc:creator><dc:creator>Hercz, Daniel</dc:creator><dc:creator>Pyle, Matt</dc:creator><dc:date>2026-07-16</dc:date><dc:description>Introduction: Our study objective was to share the experiences of four public emergency departments (ED) caring for patients with complications of gluteal autologous fat transfer (AFT), colloquially known as Brazilian butt lifts, to provide emergency physicians with a better understanding of these patients and potential complications associated with the procedure.
Methods: Jackson Health System in Miami, Florida, undertook an institutional initiative to prospectively collect data on patients presenting to any of the system’s EDs with gluteal AFT complications from October 2020–May 2023. We abstracted patient charts for demographics, disposition, lab values, diagnoses, and care-related charges to generate descriptive statistics. Our primary outcome measure was diagnostic code and diagnostic category. Secondary outcome measures were hemoglobin on presentation, units of blood transfused, admission level of care, hospital charge, length of stay, and mortality.&amp;nbsp;
Results: Of 234 potentially relevant patient charts identified by our hospital protocol, 157 patients met our criteria. All were female, with an average age of 33. A total of 123 patients were from out of state, and one was international. The most common diagnoses were anemia/bleeding (81 patients), followed by pain (65), cardiac (36) and hypovolemia/dehydration (32). Our analysis revealed that 86 patients presenting to the ED required admission (54.8%), with 12 patients requiring intensive care unit care (7.6%). There was one death (0.6%). Total hospital charges for this cohort equaled $2,822,540, averaging $17,977 per patient.
Conclusion: Gluteal AFT procedures are associated with a wide range of complications, morbidity, and mortality. These patients have a high admission rate and the potential to be critically ill. Patients travel from around the country to have these procedures performed, and it is crucial that EDs nationally are prepared to care for them.</dc:description><dc:subject>Gluteal autologous fat transfer</dc:subject><dc:subject>Cosmetic Surgery</dc:subject><dc:subject>plastic surgery</dc:subject><dc:subject>Surgical complications</dc:subject><dc:subject>Women's Health</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8z7577b8</dc:identifier><dc:identifier>https://escholarship.org/content/qt8z7577b8/qt8z7577b8.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.54037</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt513277ct</identifier><datestamp>2026-07-31T12:17:47Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt513277ct</dc:identifier><dc:title>A Systems-based Emergency Department Intervention to Conserve Intravenous Fluids During a National Shortage</dc:title><dc:creator>Jenkins, Phillip D</dc:creator><dc:creator>Xu, Obert</dc:creator><dc:creator>DeVane, Kenneth</dc:creator><dc:creator>Hartenstein, Melinda</dc:creator><dc:creator>Manella, Haley</dc:creator><dc:creator>Burns, Beech</dc:creator><dc:date>2026-06-17</dc:date><dc:description>Background: Intravenous (IV) fluids are commonly used in emergency departments (ED), but their supply can be vulnerable to national shortages. In September 2024, Tropical Storm Helene disrupted production at a major manufacturing facility, triggering a nationwide IV fluid shortage. In response, our ED implemented a multiphase intervention aimed at reducing non-essential fluid utilization. We aimed to reduce total IV fluid use in the ED by at least 25% through a staged, systems-based conservation strategy.
Methods:&amp;nbsp;We conducted a single-center, retrospective, pre-post quality improvement initiative in a tertiary academic ED with approximately 57,000 annual visits. Interventions were deployed across three Plan–Do–Study–Act cycles: 1) clinician education on fluid stewardship (7 days); 2) protocol modifications to reduce routine IV placement (11 days); and 3) electronic health record (EHR) clinical decision support tools, including an interruptive alert and oral hydration order set (32 days). We analyzed daily fluid administration volumes, and ED census data from September 2024 (pre-intervention) and November 2024 (post-intervention). The primary outcome was total IV fluid usage per day; a secondary outcome was IV fluid volume per patient encounter. We compared mean daily utilization between periods using two-sample t-tests.
Results:&amp;nbsp;Average daily IV fluid use declined from 56.3 to 24.8 liters, a 56.0% relative reduction (P &amp;lt; .001), while ED volume remained stable (155.4 vs 153.1 encounters/day pre- vs post-intervention). Normalized per-encounter IV fluid administration decreased from 0.36 to 0.16 liters per visit (P &amp;lt; .001), representing a 56% relative reduction. Assuming a pharmacy acquisition cost of approximately $2 per liter of crystalloid, the intervention was associated with an estimated reduction of $63 in IV fluid expenditures per day (31.5 liters), or $1,890 over the 30-day post-intervention period.
Conclusion:&amp;nbsp;A structured intervention combining education, protocol changes, and EHR decision support significantly reduced IV fluid use in the ED without disrupting operations. This approach may serve as a scalable model for resource stewardship during future supply chain crises. The most substantial reductions occurred during the final intervention phase involving EHR-based decision support.</dc:description><dc:subject>Quality Improvement</dc:subject><dc:subject>intravenous fluids</dc:subject><dc:subject>clinical decision support</dc:subject><dc:subject>Resource Stewardship</dc:subject><dc:subject>Supply Chain Disruption</dc:subject><dc:subject>Fluid Managment</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/513277ct</dc:identifier><dc:identifier>https://escholarship.org/content/qt513277ct/qt513277ct.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.53894</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2dg4t2rn</identifier><datestamp>2026-07-31T12:17:43Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2dg4t2rn</dc:identifier><dc:title>De-Labeling of Penicillin Allergy in the Emergency Department at a Veterans Affairs Hospital</dc:title><dc:creator>Chen, Brian</dc:creator><dc:creator>Nguyen, Phuong Khanh T.</dc:creator><dc:creator>Pham, My-Phuong</dc:creator><dc:creator>Koh, Cynthia</dc:creator><dc:creator>Graber, Christopher J.</dc:creator><dc:date>2026-06-28</dc:date><dc:description>Introduction: Penicillin allergy is one of the most reported drug allergies, but studies have shown that patients who report an allergy frequently do not have a significant reaction when challenged. Avoidance of penicillin or beta-lactam antibiotics in these patients results in increased hospitalization costs, suboptimal antibiotic therapy, and risk for subsequent infection with multidrug resistant organisms.&amp;nbsp;
Methods:&amp;nbsp;This was a single-center, retrospective chart review that included patients ≥ 18 years of age with documented penicillin allergy who presented to the emergency department (ED) over a one-year period. Clinical pharmacy specialists in the ED reviewed and stratified patient allergy risk. Patients with low-risk allergy histories who were to be admitted and gave formal consent were given an oral amoxicillin challenge and then observed in the ED for at least one hour. Patients who were eligible for challenge but were to be discharged from the ED were given the option to be seen in the allergy clinic. The primary outcome was the incidence of adverse reactions related to the oral amoxicillin challenge for patients. An exploratory secondary outcome was the average length of stay (LOS) in the ED for oral amoxicillin-challenged patients compared to the average LOS for non-oral amoxicillin-challenged patients. We performed descriptive statistics on all variables.&amp;nbsp;
Results:&amp;nbsp;A total of 144 patients received an allergy assessment in the ED, 20 who received an oral amoxicillin challenge and 124 who did not. Baseline characteristics were similar in both groups. The average total LOS in the oral amoxicillin-challenged patients was a non-significant 36 minutes longer compared to the non-challenged patients (P = 0.4). Of 144 patients, 71 (49%) had their penicillin allergy removed as a result of the challenge.. One patient experienced a mild and self-limited reaction to the oral amoxicillin challenge (0.7%; 95% CI, 0.02-3.8%).&amp;nbsp;
Conclusion:&amp;nbsp;An ED pharmacist-led, penicillin de-labeling protocol was safe and feasible. A secondary exploratory analysis showed no significant difference in length of stay between patients who received the oral amoxicillin challenge in the ED vs those who did not. Performing a proper penicillin allergy evaluation in the ED can have lasting benefits for patients and antimicrobial stewardship.</dc:description><dc:subject>penicillin</dc:subject><dc:subject>Allergy</dc:subject><dc:subject>emergency department</dc:subject><dc:subject>antibiotic stewardship</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2dg4t2rn</dc:identifier><dc:identifier>https://escholarship.org/content/qt2dg4t2rn/qt2dg4t2rn.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.48957</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6zd4j2tr</identifier><datestamp>2026-07-31T12:17:37Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6zd4j2tr</dc:identifier><dc:title>Neoplastic Incidentalomas in the Emergency Department: Incidence, Imaging Type, Location, and Clinical Relevance</dc:title><dc:creator>Nasta, Carmine</dc:creator><dc:creator>Morelli, Romeo</dc:creator><dc:creator>Facciuto, Antonia Ida</dc:creator><dc:creator>Palumbo, Francesca</dc:creator><dc:creator>Finelli, Martina</dc:creator><dc:creator>Brunelli, Vincenzo</dc:creator><dc:creator>Puoti, Mario</dc:creator><dc:creator>Palumbo, Alfredo</dc:creator><dc:creator>Voza, Antonio</dc:creator><dc:creator>Paolisso, Giuseppe</dc:creator><dc:creator>Giordano, Mauro</dc:creator><dc:date>2026-06-28</dc:date><dc:description>Background: Incidentalomas—unexpected neoplastic lesions discovered during imaging for unrelated complaints—represent a growing clinical and ethical challenge in emergency medicine. Their detection has increased due to widespread use of advanced imaging, particularly in patients who may otherwise escape thorough diagnostic evaluation.
Objective:&amp;nbsp;We sought to determine the frequency, anatomical distribution, and clinical management gaps of neoplastic incidentalomas &amp;nbsp;observed in patients presenting with non-specific, low-severity complaints at the emergency department (ED). (In this paper, neoplastic incidentalomas include both lesions discovered incidentally during imaging for unrelated conditions and newly diagnosed malignancies plausibly related to the patient’s presenting symptoms,)
Methods: Data collection covered the period January 1–December 31, 2023. We conducted a retrospective observational study of all adult patients presenting to the ED of P.O. Anastasia Guerriero University Hospital in Marcianise, Italy. Incidentalomas were identified through discharge summaries and classified by imaging modality, anatomical site, and triage code. We analyzed data using descriptive and inferential statistics.
Results:&amp;nbsp;Among 35,081 ED visits, 53 neoplastic incidentalomas were identified (1.52 per 1,000). The majority occurred in females (69%) and elderly (&amp;gt; 65 years) patients (61%), who often presented with minor complaints such as abdominal pain (38%) or anemia (15%). Most incidentalomas were gastrointestinal (31%) or pulmonary (23%) and primarily detected via computed tomography (51%). Notably, 100% of cases were triaged as non-urgent. Based on established guidelines, up to 20% of cases may represent potential overdiagnosis. The next most common modalities of detection were ultrasound (28%) and chest radiograph (22%).
Conclusion: Neoplastic incidentalomas are not rare in the ED setting, even among patients who present with low-severity symptoms. Our findings underscore the importance of structured follow-up protocols and integration of guideline-based reporting to avoid diagnostic delays, overdiagnosis, and unnecessary interventions. Emergency physicians should maintain diagnostic vigilance and consider incidental findings in clinical workflows.</dc:description><dc:subject>Incidentaloma</dc:subject><dc:subject>emergency department</dc:subject><dc:subject>Neoplastic Findings</dc:subject><dc:subject>triage</dc:subject><dc:subject>CT scan</dc:subject><dc:subject>Cancer Diagnosis</dc:subject><dc:subject>Minor Emergency</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6zd4j2tr</dc:identifier><dc:identifier>https://escholarship.org/content/qt6zd4j2tr/qt6zd4j2tr.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.48928</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt91f8s8fd</identifier><datestamp>2026-07-31T12:17:33Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt91f8s8fd</dc:identifier><dc:title>Social Deprivation Index Is Associated with 90-Day Emergency Department Revisits, but Not Admission, for Acute Heart Failure</dc:title><dc:creator>Ehrman, Robert R.</dc:creator><dc:creator>Harrison, Nicholas E.</dc:creator><dc:creator>Haber, Brian D.</dc:creator><dc:creator>Korzeniewski, Steven J.</dc:creator><dc:creator>Favot, Mark J.</dc:creator><dc:creator>Khait, Lyudamila</dc:creator><dc:creator>Levy, Phillip D.</dc:creator><dc:date>2026-07-17</dc:date><dc:description>Background: Prevalence of heart failure is increasing, with an associated rise in emergency department (ED)-related care. Social determinants of health (SDoH) are associated with adverse health outcomes, but the extent to which they influence ED use for heart failure care is poorly understood. We sought to describe the relationship between community-level social vulnerability and ED revisits and hospital admissions for heart failure within a single health system.
Methods: We conducted a retrospective review of Social Deprivation Index (SDI) scores (higher score = more deprivation) by ZIP code paired with administrative clinical data. Zero-hurdle regression was used to model the relationship between SDI and ED revisits within 90 days of a prior ED visit for heart failure (logistic model for &amp;gt; 0 revisits; Poisson model for count of revisits). We used a mixed-effects logistic model—accounting for repeat visits—to test the association of SDI with hospital admission at any given ED visit.
Results: From January 2022–December 2023, there were 3,569 ED visits from 2,406 patients. Each standard deviation increase in SDI (30.3) was associated with increased odds of at least one 90-day revisit (OR, 1.53; 95% CI, 1.08-2.16). Higher SDI was also associated with more 90-day revisits, with varying magnitude by hospital. After adjusting for characteristics of prior ED visit, SDI was not associated with hospital admission.
Conclusion:&amp;nbsp;Our results suggest that area-level social vulnerability influences the decision to seek heart failure-related care in the ED. Patients from more deprived areas may not have more severe clinical presentations, however, as evidenced by lack of association of SDI with hospital admission.&amp;nbsp;</dc:description><dc:subject>Heart Failure</dc:subject><dc:subject>emergency department</dc:subject><dc:subject>admission</dc:subject><dc:subject>re-admission</dc:subject><dc:subject>Social Vulnerability</dc:subject><dc:subject>social determinants of health</dc:subject><dc:subject>hypertension</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/91f8s8fd</dc:identifier><dc:identifier>https://escholarship.org/content/qt91f8s8fd/qt91f8s8fd.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.61392</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3x46t432</identifier><datestamp>2026-07-31T12:17:29Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3x46t432</dc:identifier><dc:title>Oxygen Saturation Thresholds for Opioid-induced Respiratory Depression: A Systematic Review</dc:title><dc:creator>Manes, Akash</dc:creator><dc:creator>Sran, Joban</dc:creator><dc:creator>Samra, Ivjot</dc:creator><dc:creator>Dhaliwal, Balkaran</dc:creator><dc:creator>Soliman, Adam</dc:creator><dc:creator>Puri, Nitasha</dc:creator><dc:date>2026-06-28</dc:date><dc:description>Introduction: Hypoventilation and hypercapnia are the primary physiological indicators of opioid-induced respiratory depression (OIRD), while hypoxia is typically a later manifestation. However, use of pulse oximetry to measure oxygen saturation (SpO₂) level remains the most widely available and commonly used monitoring modality in both clinical and community settings, whereas capnography is not routinely accessible. Given this reality, it is important to evaluate hypoxia thresholds reported in the literature to inform practical detection and intervention strategies. Oxygen saturation monitoring may serve as a valuable support tool to help determine when individuals experiencing opioid toxicity require intervention; however, there is limited consensus on SpO₂ thresholds that indicate OIRD. Our objective in this study was to evaluate existing evidence on SpO₂ thresholds for OIRD as a physiological marker to incorporate with clinical assessment to potentially prevent opioid-related outcomes such as hypoxemia, hypoxic brain injury, cardiac arrhythmias, and mortality, and to inform monitoring and intervention strategies for future research.
Methods:&amp;nbsp;We electronically searched Ovid MEDLINE, Ovid Embase, PubMed, and grey literature databases for qualitative and quantitative studies published from 2014–2024. We included studies published in English where participants with opioid use disorder (OUD) experienced opioid toxicity and continuous SpO₂ monitoring in medical settings. Quality was evaluated using the modified Downs and Black checklist. The primary outcome measure was the SpO₂ level used to quantify opioid-induced respiratory depression.&amp;nbsp;
Results:&amp;nbsp;Of the 2,864 articles screened, 37 underwent full-text review, and 16 were included in data extraction and analysis (total patients, N = 12,887). Reported SpO₂ thresholds ranged from 85–95% (median 92, interquartile range 90–95). In three studies where patients experienced opioid-induced respiratory depression, SpO₂ levels dropped to a median value of 80%.&amp;nbsp;
Conclusion: Although hypoxia is a late indicator of opioid-induced respiratory depression, SpO₂ monitoring remains a widely deployed tool for detecting clinically significant deterioration. Reported SpO₂ thresholds for defining OIRD ranged from 90-95% across studies of “excellent” and “good” quality, underscoring the need for standardized, patient-centered thresholds to guide monitoring and intervention in future research.</dc:description><dc:subject>Keywords: Oxygen Saturation</dc:subject><dc:subject>Opioid-Related Disorders</dc:subject><dc:subject>Respiratory Depression</dc:subject><dc:subject>Oxygen Saturation</dc:subject><dc:subject>Opioid-related disorders</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3x46t432</dc:identifier><dc:identifier>https://escholarship.org/content/qt3x46t432/qt3x46t432.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.54000</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8sm5h5h8</identifier><datestamp>2026-07-31T12:17:24Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8sm5h5h8</dc:identifier><dc:title>Impact of Substance Use Disorder Curriculum and X-Waiver Training on Emergency Medicine Residents</dc:title><dc:creator>Chukwunyere, Chigozie</dc:creator><dc:creator>Heil, Jessica</dc:creator><dc:creator>Salzman, Matthew</dc:creator><dc:creator>Haroz, Rachel</dc:creator><dc:date>2026-06-17</dc:date><dc:description>Introduction: We incorporated an 8-hour standardized substance use disorder (SUD) curriculum and X-waiver training into our emergency medicine (EM) residency. We sought to assess whether the implementation of the standardized SUD curriculum and X-waiver training affected graduated EM residents’ comfort with treating SUD and prescribing practices, as well as their view of their future career paths.
Methods:&amp;nbsp;Physicians who completed their EM residency at our hospital from 2016-2022 were invited to complete the survey in 2023. The primary outcome measure was the proportion of surveyed graduates who reported comfort and confidence in treating patients with SUD, measured by affirmative responses to survey items. The secondary outcome measure was the proportion of surveyed graduates reporting that participation in the SUD curriculum and X-waiver training during residency influenced their career plans, measured by affirmative responses to career-related survey items. For each outcome measure, we compared percentages of affirmative responses between physicians who completed residency prior to and after the implementation of the SUD curriculum and X-waiver training.
Results: Among 81 graduated EM residents invited to complete the survey, 63 (78.8%) responded. We grouped them based on whether they had completed residency prior to the addition of the standardized SUD curriculum (pre-curriculum, 2016–2017) or after (post-curriculum, 2018–2022). Of the 63 participants, 17 were pre- and 46 were post-curriculum residents. Of the pre-curriculum residents, 58.8% prescribed buprenorphine in their practice after residency, compared to 76.1% of the post-curriculum residents (Fisher exact test, P = .22, odds ratio [OR] 0.46, 95% confidence interval, 0.12-1.76). Of the post-curriculum graduates, 93.5% noted that they were better prepared to treat patients with SUDs than their peers compared to 88.2% of the pre-curriculum graduates (Fisher exact test, P = .605, OR .529, 95% CI, 0.055-6.909), and 69.6% believed the training impacted their careers professionally and increased their interest in helping patients with opioid use disorder.
Conclusion: Overall, a greater proportion of EM graduates who had been X waiver-trained in a substance use disorder curriculm during residency training at our institution prescribed buprenorphine to their patients than those who had not undergone specific training. Although the X-waiver is no longer a requirement, our SUD curriculum and training remain relevant for buprenorphine prescribing and may offer some opportunities for EM residents to develop their careers.&amp;nbsp;</dc:description><dc:subject>Substance use</dc:subject><dc:subject>curriculum</dc:subject><dc:subject>Emergency Medicine</dc:subject><dc:subject>Residents</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8sm5h5h8</dc:identifier><dc:identifier>https://escholarship.org/content/qt8sm5h5h8/qt8sm5h5h8.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.50864</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5rm2853t</identifier><datestamp>2026-07-31T12:17:20Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5rm2853t</dc:identifier><dc:title>Opioid Overdose-Related Emergency Department Visits Pre- and Post-COVID-19</dc:title><dc:creator>Molina, Melanie F.</dc:creator><dc:creator>Pimentel, Samuel D.</dc:creator><dc:creator>Raven, Maria C.</dc:creator><dc:creator>LeSaint, Kathy T.</dc:creator><dc:creator>Dillon, David G.</dc:creator><dc:date>2026-06-10</dc:date><dc:description>Introduction: Understanding changes in opioid overdose-related emergency department (ED) visits and ED-based opioid use disorder (OUD) treatment post-coronavirus disease 2019 (COVID-19) pandemic can inform ongoing efforts to address the opioid crisis. We aimed to examine trends in opioid overdose-related ED visits, ED-based medication for OUD (MOUD) treatment, and appendicitis-related ED visits (as a control) before and after the initial COVID-19 peak in April 2020.
Methods: We conducted an interrupted time series analysis of monthly ED visits from January 2017–December 2022 at three hospitals in California. We modeled pre- and post-COVID-19 visit trends and the change in trend from pre- to post-COVID-19 peak using linear regression controlling for study site. Our primary outcome included monthly rates of opioid overdose-related ED visits, with monthly rates of ED visits with MOUD treatment as a secondary outcome. Appendicitis-related visits served as a control for temporal trends. &amp;nbsp;
Results: Of the 781,488 ED visits across the entire study period, there were 2,536 (0.32%) opioid overdose-related visits, 9,755 (1.25%) MOUD treatment visits, and 1,123 (0.14%) appendicitis-related visits. Pre-pandemic, monthly increases were observed in opioid overdose-related visits (6.7 visits/10,000 per month, 95% confidence interval [CI] 2.6-10.8, P = .001), MOUD-positive visits (34.9 visits/10,000 per month, 95% CI, 26.0-43.7, P &amp;lt; .001), and appendicitis visits (2.5 visits/10,000 per month, 95% CI, 1.2-3.9, P &amp;lt; .001). After April 2020, only MOUD-positive visits showed an immediate (level change) increase (49 visits/10,000 or 34% of April 2020 projected pre-COVID-19 visit rates, 95% CI, 26.1-71.9, P &amp;lt; .001), with opioid overdose-related visits subsequently declining (-4.6 visits/10,000 per month or -11% of April 2020 projected pre-COVID-19 visit rates, 95% CI, -7.2 to -2.0, P = .001). Across the entire pre- to post-COVID-19 period, significant decreases in overall visit trends were observed across all visit types, greatest for MOUD-positive visits (-39.2 visits/10,000 per month, or -27% of April 2020 projected pre-COVID-19 visit rates, 95% CI, -51.5 to -26.8, P &amp;lt; .001), followed by opioid overdose visits (-11.3 visits/10,000 per month, or -27% of April 2020 projected pre-COVID-19 visit rates, 95% CI, -16.1 to -6.5, P &amp;lt; .001) and appendicitis visits (-4.2 visits/10,000 per month, or -23% of April 2020 projected pre-COVID-19 visit rates, 95% CI, -7.2 to -1.2, P = .01).
Conclusion: From pre- to post-initial COVID-19 peak, absolute ED-based MOUD treatment trends declined over three times faster than those of opioid overdose-related ED visits (although percentage changes relative to expected April 2020 rates were both -27%). These findings may reflect reduced perceived urgency as overdose presentations decreased and a shift away from crisis-driven implementation, underscoring the need for intentional integration of MOUD into routine ED practice to sustain treatment capacity.</dc:description><dc:subject>COVID-19</dc:subject><dc:subject>opioid overdose</dc:subject><dc:subject>opioid use disorder</dc:subject><dc:subject>Methadone</dc:subject><dc:subject>buprenorphine</dc:subject><dc:subject>MOUD</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5rm2853t</dc:identifier><dc:identifier>https://escholarship.org/content/qt5rm2853t/qt5rm2853t.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.53227</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8r64f75j</identifier><datestamp>2026-07-31T12:17:14Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8r64f75j</dc:identifier><dc:title>Genetic analysis of quantitative phenotypes in AD and MCI: imaging, cognition and biomarkers</dc:title><dc:creator>Shen, Li</dc:creator><dc:creator>Thompson, Paul M</dc:creator><dc:creator>Potkin, Steven G</dc:creator><dc:creator>Bertram, Lars</dc:creator><dc:creator>Farrer, Lindsay A</dc:creator><dc:creator>Foroud, Tatiana M</dc:creator><dc:creator>Green, Robert C</dc:creator><dc:creator>Hu, Xiaolan</dc:creator><dc:creator>Huentelman, Matthew J</dc:creator><dc:creator>Kim, Sungeun</dc:creator><dc:creator>Kauwe, John SK</dc:creator><dc:creator>Li, Qingqin</dc:creator><dc:creator>Liu, Enchi</dc:creator><dc:creator>Macciardi, Fabio</dc:creator><dc:creator>Moore, Jason H</dc:creator><dc:creator>Munsie, Leanne</dc:creator><dc:creator>Nho, Kwangsik</dc:creator><dc:creator>Ramanan, Vijay K</dc:creator><dc:creator>Risacher, Shannon L</dc:creator><dc:creator>Stone, David J</dc:creator><dc:creator>Swaminathan, Shanker</dc:creator><dc:creator>Toga, Arthur W</dc:creator><dc:creator>Weiner, Michael W</dc:creator><dc:creator>Saykin, Andrew J</dc:creator><dc:creator>for the Alzheimer’s Disease Neuroimaging Initiative</dc:creator><dc:date>2014-06-01</dc:date><dc:description>The Genetics Core of the Alzheimer’s Disease Neuroimaging Initiative (ADNI), formally established in 2009, aims to provide resources and facilitate research related to genetic predictors of multidimensional Alzheimer’s disease (AD)-related phenotypes. Here, we provide a systematic review of genetic studies published between 2009 and 2012 where either ADNI APOE genotype or genome-wide association study (GWAS) data were used. We review and synthesize ADNI genetic associations with disease status or quantitative disease endophenotypes including structural and functional neuroimaging, fluid biomarker assays, and cognitive performance. We also discuss the diverse analytical strategies used in these studies, including univariate and multivariate analysis, meta-analysis, pathway analysis, and interaction and network analysis. Finally, we perform pathway and network enrichment analyses of these ADNI genetic associations to highlight key mechanisms that may drive disease onset and trajectory. Major ADNI findings included all the top 10 AD genes and several of these (e.g., APOE, BIN1, CLU, CR1, and PICALM) were corroborated by ADNI imaging, fluid and cognitive phenotypes. ADNI imaging genetics studies discovered novel findings (e.g., FRMD6) that were later replicated on different data sets. Several other genes (e.g., APOC1, FTO, GRIN2B, MAGI2, and TOMM40) were associated with multiple ADNI phenotypes, warranting further investigation on other data sets. The broad availability and wide scope of ADNI genetic and phenotypic data has advanced our understanding of the genetic basis of AD and has nominated novel targets for future studies employing next-generation sequencing and convergent multi-omics approaches, and for clinical drug and biomarker development.</dc:description><dc:subject>5202 Biological Psychology (for-2020)</dc:subject><dc:subject>4202 Epidemiology (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>52 Psychology (for-2020)</dc:subject><dc:subject>Genetics (rcdc)</dc:subject><dc:subject>Biomedical Imaging (rcdc)</dc:subject><dc:subject>Acquired Cognitive Impairment (rcdc)</dc:subject><dc:subject>Alzheimer's Disease (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Neurodegenerative (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Aging (rcdc)</dc:subject><dc:subject>Human Genome (rcdc)</dc:subject><dc:subject>Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Dementia (rcdc)</dc:subject><dc:subject>Biotechnology (rcdc)</dc:subject><dc:subject>2.1 Biological and endogenous factors (hrcs-rac)</dc:subject><dc:subject>4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac)</dc:subject><dc:subject>Neurological (hrcs-hc)</dc:subject><dc:subject>Alzheimer Disease (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Cognitive Dysfunction (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Neuroimaging (mesh)</dc:subject><dc:subject>Phenotype (mesh)</dc:subject><dc:subject>Alzheimer's disease</dc:subject><dc:subject>Genetic association study</dc:subject><dc:subject>Quantitative traits</dc:subject><dc:subject>Neuroimaging</dc:subject><dc:subject>Biomarker</dc:subject><dc:subject>Cognition</dc:subject><dc:subject>Alzheimer’s Disease Neuroimaging Initiative</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Alzheimer Disease (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Phenotype (mesh)</dc:subject><dc:subject>Neuroimaging (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Cognitive Dysfunction (mesh)</dc:subject><dc:subject>Alzheimer Disease (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Cognitive Dysfunction (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Neuroimaging (mesh)</dc:subject><dc:subject>Phenotype (mesh)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:subject>17 Psychology and Cognitive Sciences (for)</dc:subject><dc:subject>Experimental Psychology (science-metrix)</dc:subject><dc:subject>32 Biomedical and clinical sciences (for-2020)</dc:subject><dc:subject>42 Health sciences (for-2020)</dc:subject><dc:subject>52 Psychology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8r64f75j</dc:identifier><dc:identifier>https://escholarship.org/content/qt8r64f75j/qt8r64f75j.pdf</dc:identifier><dc:identifier>info:doi/10.1007/s11682-013-9262-z</dc:identifier><dc:type>article</dc:type><dc:source>Brain Imaging and Behavior, vol 8, iss 2</dc:source><dc:coverage>183 - 207</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt29t582zg</identifier><datestamp>2026-07-31T12:17:14Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt29t582zg</dc:identifier><dc:title>Emergency Department-initiated Naltrexone for Alcohol Use Disorder: Association with Recidivism</dc:title><dc:creator>Warren, Otis</dc:creator><dc:creator>Gress, Jeremiah</dc:creator><dc:creator>Lin, Timmy</dc:creator><dc:creator>Lippmann, Melanie</dc:creator><dc:creator>Bubly, Gary</dc:creator><dc:date>2026-07-16</dc:date><dc:description>Introduction: Alcohol use disorder (AUD) contributes to significant healthcare costs, disease, emergency department (ED) crowding, and recidivism. Naltrexone is a treatment for AUD that has been approved by the U.S. Food and Drug Administration and holds promise as a pharmacologic intervention for ED patients with AUD. We hypothesized that subjects who received naltrexone in the ED would have associated reduced recidivism in the 30 days after treatment.
Methods: This was a retrospective chart review of an AUD quality program comparing ED visits in the 30 days before with 30 days after initiation of naltrexone in the ED. We performed this study at two academic hospitals (one a Level I trauma center) and one community hospital.
Results: A total of 297 subjects (median age 43 years, 69.5% male) made 331 naltrexone index visits during the study period. There was no difference in the number of ED visits before versus after the index visit among all subjects (0 median visits before [interquartile range 0-1] versus 0 median after [0-1]). Subjects who were frequent ED users (defined as ≥ 4 ED visits in the 90 days preceding (N=56 [16.9%]) had a significant reduction in ED visits after administration of naltrexone (median of 5 visits [3-8] before versus 3 [2,6] after), with 36 of these subjects (64.3%) having reduced ED visits in the 30 days after naltrexone administration.
Conclusion: Naltrexone administered in the emergency department had no associated change on the study population’s rates of recidivism for alcohol use disorder, but it was associated with reduced ED recidivism in subjects with high ED use.&amp;nbsp;</dc:description><dc:subject>Naltrexone</dc:subject><dc:subject>alcohol use disorder</dc:subject><dc:subject>emergency department</dc:subject><dc:subject>Recidivism</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/29t582zg</dc:identifier><dc:identifier>https://escholarship.org/content/qt29t582zg/qt29t582zg.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.52971</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3bt40667</identifier><datestamp>2026-07-31T12:17:11Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3bt40667</dc:identifier><dc:title>Reply: Regarding Racial Disparities in Door-to Clinician Time for Cardiac Chest Pain</dc:title><dc:creator>Awad, Emad</dc:creator><dc:date>2026-07-18</dc:date><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3bt40667</dc:identifier><dc:identifier>https://escholarship.org/content/qt3bt40667/qt3bt40667.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.63979</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7gj9d33s</identifier><datestamp>2026-07-31T12:17:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7gj9d33s</dc:identifier><dc:title>Regarding Racial Disparities in Door-to-Clinician Time for Cardiac Chest Pain in the Emergency Department</dc:title><dc:creator>Ventura, Christian Angelo I.</dc:creator><dc:creator>Cabanilla, Ava D.</dc:creator><dc:creator>Denton, Edward E.</dc:creator><dc:date>2026-06-28</dc:date><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7gj9d33s</dc:identifier><dc:identifier>https://escholarship.org/content/qt7gj9d33s/qt7gj9d33s.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.63931</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 27, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1sj0862b</identifier><datestamp>2026-07-31T12:08:54Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1sj0862b</dc:identifier><dc:title>Contribution of dorsal horn CGRP-expressing interneurons to mechanical sensitivity</dc:title><dc:creator>Löken, Line S</dc:creator><dc:creator>Braz, Joao M</dc:creator><dc:creator>Etlin, Alexander</dc:creator><dc:creator>Sadeghi, Mahsa</dc:creator><dc:creator>Bernstein, Mollie</dc:creator><dc:creator>Jewell, Madison</dc:creator><dc:creator>Steyert, Marilyn</dc:creator><dc:creator>Kuhn, Julia</dc:creator><dc:creator>Hamel, Katherine</dc:creator><dc:creator>Llewellyn-Smith, Ida J</dc:creator><dc:creator>Basbaum, Allan</dc:creator><dc:date>2021-01-01</dc:date><dc:description>Primary sensory neurons are generally considered the only source of dorsal horn calcitonin gene-related peptide (CGRP), a neuropeptide critical to the transmission of pain messages. Using a tamoxifen-inducible CalcaCreER transgenic mouse, here we identified a distinct population of CGRP-expressing excitatory interneurons in lamina III of the spinal cord dorsal horn and trigeminal nucleus caudalis. These interneurons have spine-laden, dorsally directed, dendrites, and ventrally directed axons. As under resting conditions, CGRP interneurons are under tonic inhibitory control, neither innocuous nor noxious stimulation provoked significant Fos expression in these neurons. However, synchronous, electrical non-nociceptive Aβ primary afferent stimulation of dorsal roots depolarized the CGRP interneurons, consistent with their receipt of a VGLUT1 innervation. On the other hand, chemogenetic activation of the neurons produced a mechanical hypersensitivity in response to von Frey stimulation, whereas their caspase-mediated ablation led to mechanical hyposensitivity. Finally, after partial peripheral nerve injury, innocuous stimulation (brush) induced significant Fos expression in the CGRP interneurons. These findings suggest that CGRP interneurons become hyperexcitable and contribute either to ascending circuits originating in deep dorsal horn or to the reflex circuits in baseline conditions, but not in the setting of nerve injury.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:subject>3202 Clinical Sciences (for-2020)</dc:subject><dc:subject>Pain Research (rcdc)</dc:subject><dc:subject>Neurodegenerative (rcdc)</dc:subject><dc:subject>Peripheral Neuropathy (rcdc)</dc:subject><dc:subject>Chronic Pain (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>1.1 Normal biological development and functioning (hrcs-rac)</dc:subject><dc:subject>Neurological (hrcs-hc)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Behavior</dc:subject><dc:subject>Animal (mesh)</dc:subject><dc:subject>Calcitonin Gene-Related Peptide (mesh)</dc:subject><dc:subject>Disease Models</dc:subject><dc:subject>Animal (mesh)</dc:subject><dc:subject>Hyperalgesia (mesh)</dc:subject><dc:subject>Interneurons (mesh)</dc:subject><dc:subject>Mechanotransduction</dc:subject><dc:subject>Cellular (mesh)</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Inbred C57BL (mesh)</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Transgenic (mesh)</dc:subject><dc:subject>Neural Inhibition (mesh)</dc:subject><dc:subject>Pain Threshold (mesh)</dc:subject><dc:subject>Peripheral Nerve Injuries (mesh)</dc:subject><dc:subject>Physical Stimulation (mesh)</dc:subject><dc:subject>Posterior Horn Cells (mesh)</dc:subject><dc:subject>Proto-Oncogene Proteins c-fos (mesh)</dc:subject><dc:subject>Vesicular Glutamate Transport Protein 1 (mesh)</dc:subject><dc:subject>Mice (mesh)</dc:subject><dc:subject>Posterior Horn Cells (mesh)</dc:subject><dc:subject>Interneurons (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Inbred C57BL (mesh)</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Transgenic (mesh)</dc:subject><dc:subject>Mice (mesh)</dc:subject><dc:subject>Hyperalgesia (mesh)</dc:subject><dc:subject>Disease Models</dc:subject><dc:subject>Animal (mesh)</dc:subject><dc:subject>Calcitonin Gene-Related Peptide (mesh)</dc:subject><dc:subject>Proto-Oncogene Proteins c-fos (mesh)</dc:subject><dc:subject>Physical Stimulation (mesh)</dc:subject><dc:subject>Behavior</dc:subject><dc:subject>Animal (mesh)</dc:subject><dc:subject>Pain Threshold (mesh)</dc:subject><dc:subject>Mechanotransduction</dc:subject><dc:subject>Cellular (mesh)</dc:subject><dc:subject>Neural Inhibition (mesh)</dc:subject><dc:subject>Vesicular Glutamate Transport Protein 1 (mesh)</dc:subject><dc:subject>Peripheral Nerve Injuries (mesh)</dc:subject><dc:subject>CGRP</dc:subject><dc:subject>interneurons</dc:subject><dc:subject>mechanical sensitivity</dc:subject><dc:subject>mouse</dc:subject><dc:subject>neuroscience</dc:subject><dc:subject>pain</dc:subject><dc:subject>spinal cord</dc:subject><dc:subject>touch</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Behavior</dc:subject><dc:subject>Animal (mesh)</dc:subject><dc:subject>Calcitonin Gene-Related Peptide (mesh)</dc:subject><dc:subject>Disease Models</dc:subject><dc:subject>Animal (mesh)</dc:subject><dc:subject>Hyperalgesia (mesh)</dc:subject><dc:subject>Interneurons (mesh)</dc:subject><dc:subject>Mechanotransduction</dc:subject><dc:subject>Cellular (mesh)</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Inbred C57BL (mesh)</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Transgenic (mesh)</dc:subject><dc:subject>Neural Inhibition (mesh)</dc:subject><dc:subject>Pain Threshold (mesh)</dc:subject><dc:subject>Peripheral Nerve Injuries (mesh)</dc:subject><dc:subject>Physical Stimulation (mesh)</dc:subject><dc:subject>Posterior Horn Cells (mesh)</dc:subject><dc:subject>Proto-Oncogene Proteins c-fos (mesh)</dc:subject><dc:subject>Vesicular Glutamate Transport Protein 1 (mesh)</dc:subject><dc:subject>Mice (mesh)</dc:subject><dc:subject>0601 Biochemistry and Cell Biology (for)</dc:subject><dc:subject>31 Biological sciences (for-2020)</dc:subject><dc:subject>32 Biomedical and clinical sciences (for-2020)</dc:subject><dc:subject>42 Health sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1sj0862b</dc:identifier><dc:identifier>https://escholarship.org/content/qt1sj0862b/qt1sj0862b.pdf</dc:identifier><dc:identifier>info:doi/10.7554/elife.59751</dc:identifier><dc:type>article</dc:type><dc:source>ELIFE, vol 10</dc:source><dc:coverage>e59751</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8778z9r6</identifier><datestamp>2026-07-31T11:59:36Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8778z9r6</dc:identifier><dc:title>Developmental associations between cognition and adaptive behavior in intellectual and developmental disability</dc:title><dc:creator>Dakopolos, Andrew</dc:creator><dc:creator>Condy, Emma</dc:creator><dc:creator>Smith, Elizabeth</dc:creator><dc:creator>Harvey, Danielle</dc:creator><dc:creator>Kaat, Aaron J</dc:creator><dc:creator>Coleman, Jeanine</dc:creator><dc:creator>Riley, Karen</dc:creator><dc:creator>Berry-Kravis, Elizabeth</dc:creator><dc:creator>Hessl, David</dc:creator><dc:date>2024-01-01</dc:date><dc:description>BackgroundIntellectual and developmental disabilities (IDDs) are associated with both cognitive challenges and difficulties in conceptual, social, and practical areas of living, commonly referred to as adaptive behavior (DSM–5). Although cross-sectional associations between intelligence or cognition and adaptive behavior have been reported in IDD populations, no study to date has examined whether developmental changes in cognition contribute to or track with changes in adaptive behavior. The present study sought to examine associations of longitudinal developmental change in domains of cognition (NIH Toolbox Cognition Battery, NIHTB-CB) and adaptive behavior domains (Vineland Adaptive Behavior Scales-3; VABS-3) including Socialization, Communication, and Daily Living Skills (DLS) over a two&amp;nbsp;year period in a large sample of children, adolescents and young adults with IDD.MethodsThree groups were recruited, including those with fragile X syndrome, Down syndrome, and other/idiopathic intellectual disability. Eligible participants (n = 263) included those who were between 6 and 26&amp;nbsp;years (mage = 15.52, sd = 5.17) at Visit 1, and who had a diagnosis of, or suspected intellectual disability (ID), including borderline ID, with a mental age of at least 3.0&amp;nbsp;years. Participants were given cognitive and adaptive behavior assessments at two time&amp;nbsp;points over a two&amp;nbsp;year period (m = 2.45&amp;nbsp;years, range = 1.27 to 5.56&amp;nbsp;years). In order to examine the association of developmental change between cognitive and adaptive behavior domains, bivariate latent change score (BLCS) models were fit to compare change in the three cognitive domains measured by the NIHTB-CB (Fluid Cognition, Crystallized Cognition, Total Cognition) and the three adaptive behavior domains measured by the VABS-3 (Communication, DLS, and Socialization).ResultsOver a two&amp;nbsp;year period, change in cognition (both Crystallized and Total Composites) was significantly and positively associated with change in daily living skills. Also, baseline cognition level predicted growth in adaptive behavior, however baseline adaptive behavior did not predict growth in cognition in any model.ConclusionsThe present study demonstrated that developmental changes in cognition and adaptive behavior are associated in children and young adults with IDD, indicating the potential for cross-domain effects of intervention. Notably, improvements in DLS emerged as a primary area of adaptive behavior that positively related to improvements in cognition. This work provides evidence for the clinical, “real life” meaningfulness of changes in cognition detected by the NIHTB-CB in IDD, and provides empirical support for the NIHTB-CB as a fit-for-purpose performance-based outcome measure for this population.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:subject>Intellectual and Developmental Disabilities (IDD) (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Basic Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Rare Diseases (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Down Syndrome (rcdc)</dc:subject><dc:subject>Mental health (hrcs-hc)</dc:subject><dc:subject>4 Quality Education (sdg)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Adaptation</dc:subject><dc:subject>Psychological (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Intellectual Disability (mesh)</dc:subject><dc:subject>Developmental Disabilities (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Longitudinal Studies (mesh)</dc:subject><dc:subject>Activities of Daily Living (mesh)</dc:subject><dc:subject>Socialization (mesh)</dc:subject><dc:subject>Down Syndrome (mesh)</dc:subject><dc:subject>Fragile X Syndrome (mesh)</dc:subject><dc:subject>Cognition</dc:subject><dc:subject>Intellectual and developmental disability</dc:subject><dc:subject>NIH Toolbox</dc:subject><dc:subject>Fragile X syndrome</dc:subject><dc:subject>Down syndrome</dc:subject><dc:subject>Adaptive behavior</dc:subject><dc:subject>Latent change</dc:subject><dc:subject>Structural equation modeling</dc:subject><dc:subject>Longitudinal studies</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Down Syndrome (mesh)</dc:subject><dc:subject>Fragile X Syndrome (mesh)</dc:subject><dc:subject>Activities of Daily Living (mesh)</dc:subject><dc:subject>Longitudinal Studies (mesh)</dc:subject><dc:subject>Adaptation</dc:subject><dc:subject>Psychological (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Developmental Disabilities (mesh)</dc:subject><dc:subject>Socialization (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Intellectual Disability (mesh)</dc:subject><dc:subject>Adaptive behavior</dc:subject><dc:subject>Cognition</dc:subject><dc:subject>Down syndrome</dc:subject><dc:subject>Fragile X syndrome</dc:subject><dc:subject>Intellectual and developmental disability</dc:subject><dc:subject>Latent change</dc:subject><dc:subject>Longitudinal studies</dc:subject><dc:subject>NIH Toolbox</dc:subject><dc:subject>Structural equation modeling</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Adaptation</dc:subject><dc:subject>Psychological (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Intellectual Disability (mesh)</dc:subject><dc:subject>Developmental Disabilities (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Longitudinal Studies (mesh)</dc:subject><dc:subject>Activities of Daily Living (mesh)</dc:subject><dc:subject>Socialization (mesh)</dc:subject><dc:subject>Down Syndrome (mesh)</dc:subject><dc:subject>Fragile X Syndrome (mesh)</dc:subject><dc:subject>1109 Neurosciences (for)</dc:subject><dc:subject>1701 Psychology (for)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8778z9r6</dc:identifier><dc:identifier>https://escholarship.org/content/qt8778z9r6/qt8778z9r6.pdf</dc:identifier><dc:identifier>info:doi/10.1186/s11689-024-09542-z</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Neurodevelopmental Disorders, vol 16, iss 1</dc:source><dc:coverage>31</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7k04d8q3</identifier><datestamp>2026-07-31T11:59:32Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7k04d8q3</dc:identifier><dc:title>Deviation scores: An innovative approach to interpreting cognitive test results for individuals with intellectual disabilities</dc:title><dc:creator>Talapatra, Devadrita</dc:creator><dc:creator>Snider, Laurel</dc:creator><dc:creator>Coleman, Jeanine</dc:creator><dc:creator>Thompson, Talia</dc:creator><dc:creator>Reinhardt, Jessica S</dc:creator><dc:creator>Hessl, David</dc:creator><dc:creator>Riley, Karen</dc:creator><dc:date>2023-11-01</dc:date><dc:description>BACKGROUND: Students with Intellectual Disability undergo frequent cognitive testing. Testing with this population is limited by insensitivity to relative strengths and weaknesses due to floor effects.
AIM: The study explored the utility of deviation scores via four case studies as a supplement to educational decision-making.
METHODS: Four students with Intellectual Disability completed cognitive testing. Deviation scores were calculated using age dependent raw z-score transformations to determine deviation from the standardization sample norms.
RESULTS: The application of deviation scores highlighted true relative strengths and weaknesses for students with Intellectual Disability rather than documenting previously known deficits. The four cases studies illustrated where deviation scores could, or could not, add value above and beyond traditional scoring.
DISCUSSION: Deviation scores can supplement placement and service decisions for students. Practical and psychometric considerations are reviewed.
CONCLUSION: The findings highlight the usefulness of deviation scores in providing meaningful information to school- and clinic-based practitioners.</dc:description><dc:subject>5204 Cognitive and Computational Psychology (for-2020)</dc:subject><dc:subject>52 Psychology (for-2020)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Intellectual and Developmental Disabilities (IDD) (rcdc)</dc:subject><dc:subject>Mental health (hrcs-hc)</dc:subject><dc:subject>4 Quality Education (sdg)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Intellectual Disability (mesh)</dc:subject><dc:subject>Neuropsychological Tests (mesh)</dc:subject><dc:subject>Psychometrics (mesh)</dc:subject><dc:subject>Schools (mesh)</dc:subject><dc:subject>Students (mesh)</dc:subject><dc:subject>cognitive testing</dc:subject><dc:subject>deviation score</dc:subject><dc:subject>intellectual disability</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Neuropsychological Tests (mesh)</dc:subject><dc:subject>Psychometrics (mesh)</dc:subject><dc:subject>Schools (mesh)</dc:subject><dc:subject>Students (mesh)</dc:subject><dc:subject>Intellectual Disability (mesh)</dc:subject><dc:subject>cognitive testing</dc:subject><dc:subject>deviation score</dc:subject><dc:subject>intellectual disability</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Intellectual Disability (mesh)</dc:subject><dc:subject>Neuropsychological Tests (mesh)</dc:subject><dc:subject>Psychometrics (mesh)</dc:subject><dc:subject>Schools (mesh)</dc:subject><dc:subject>Students (mesh)</dc:subject><dc:subject>1607 Social Work (for)</dc:subject><dc:subject>1701 Psychology (for)</dc:subject><dc:subject>1702 Cognitive Sciences (for)</dc:subject><dc:subject>Rehabilitation (science-metrix)</dc:subject><dc:subject>4203 Health services and systems (for-2020)</dc:subject><dc:subject>5201 Applied and developmental psychology (for-2020)</dc:subject><dc:subject>5203 Clinical and health psychology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7k04d8q3</dc:identifier><dc:identifier>https://escholarship.org/content/qt7k04d8q3/qt7k04d8q3.pdf</dc:identifier><dc:identifier>info:doi/10.1111/jar.13137</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Applied Research in Intellectual Disabilities, vol 36, iss 6</dc:source><dc:coverage>1218 - 1228</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6b49w3pj</identifier><datestamp>2026-07-31T11:59:22Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6b49w3pj</dc:identifier><dc:title>Assessing processing speed among individuals with intellectual and developmental disabilities: A match-to-sample paradigm</dc:title><dc:creator>Kaat, Aaron J</dc:creator><dc:creator>McKenzie, Forrest J</dc:creator><dc:creator>Shields, Rebecca H</dc:creator><dc:creator>LaForte, Erica</dc:creator><dc:creator>Coleman, Jeanine</dc:creator><dc:creator>Michalak, Claire</dc:creator><dc:creator>Hessl, David R</dc:creator><dc:date>2022-01-02</dc:date><dc:description>Speeded Matching (SpM) is a new processing speed match-to-sample test within the NIH Toolbox Cognitive Battery. It was designed to developmentally extend feasibility to younger children or individuals with intellectual or developmental disabilities (IDD). SpM reduces cognitive demands to tapping an identical match as opposed to judging and indicating whether two stimuli are identical. In this study, we piloted SpM among 148 participants with fragile X syndrome, Down syndrome, or other intellectual disabilities (chronological age mean&amp;nbsp;=&amp;nbsp;17.8&amp;nbsp;years, sd&amp;nbsp;=&amp;nbsp;5.4; nonverbal mental age mean&amp;nbsp;=&amp;nbsp;65&amp;nbsp;months, sd&amp;nbsp;=&amp;nbsp;19.4). SpM had a high feasibility (96%) and internal consistency (rxx =&amp;nbsp;0.98). It converged well with other measures of processing speed, fluid cognition, and nonverbal mental age and diverged appropriately from crystallized cognitive skills. The correlation between nonverbal mental age and SpM in the IDD sample was not significantly different than the correlation between chronological age and SpM in a separate sample of 118 neurotypical children (age mean&amp;nbsp;=&amp;nbsp;3.9&amp;nbsp;years sd&amp;nbsp;=&amp;nbsp;0.8). This study provides initial evidence for the reliability and validity of the new SpM task, which may be appropriate as an outcome measure of processing speed for future clinical trials. It is more feasible than tasks designed for adults; it is brief, easy to administer, and engaging for young children and older individuals with lower mental ages associated with IDD.</dc:description><dc:subject>5202 Biological Psychology (for-2020)</dc:subject><dc:subject>5204 Cognitive and Computational Psychology (for-2020)</dc:subject><dc:subject>52 Psychology (for-2020)</dc:subject><dc:subject>5201 Applied and Developmental Psychology (for-2020)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Intellectual and Developmental Disabilities (IDD) (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Clinical Trials and Supportive Activities (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Rare Diseases (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Mental health (hrcs-hc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged</dc:subject><dc:subject>80 and over (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Child</dc:subject><dc:subject>Preschool (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Developmental Disabilities (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Intellectual Disability (mesh)</dc:subject><dc:subject>Intelligence (mesh)</dc:subject><dc:subject>Neuropsychological Tests (mesh)</dc:subject><dc:subject>Reproducibility of Results (mesh)</dc:subject><dc:subject>Processing speed</dc:subject><dc:subject>fragile X syndrome</dc:subject><dc:subject>Down syndrome</dc:subject><dc:subject>NIH Toolbox</dc:subject><dc:subject>cognition</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Reproducibility of Results (mesh)</dc:subject><dc:subject>Intelligence (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Developmental Disabilities (mesh)</dc:subject><dc:subject>Neuropsychological Tests (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged</dc:subject><dc:subject>80 and over (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Child</dc:subject><dc:subject>Preschool (mesh)</dc:subject><dc:subject>Intellectual Disability (mesh)</dc:subject><dc:subject>Down syndrome</dc:subject><dc:subject>NIH Toolbox</dc:subject><dc:subject>Processing speed</dc:subject><dc:subject>cognition</dc:subject><dc:subject>fragile X syndrome</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged</dc:subject><dc:subject>80 and over (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Child</dc:subject><dc:subject>Preschool (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Developmental Disabilities (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Intellectual Disability (mesh)</dc:subject><dc:subject>Intelligence (mesh)</dc:subject><dc:subject>Neuropsychological Tests (mesh)</dc:subject><dc:subject>Reproducibility of Results (mesh)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:subject>17 Psychology and Cognitive Sciences (for)</dc:subject><dc:subject>Operations Research (science-metrix)</dc:subject><dc:subject>3213 Paediatrics (for-2020)</dc:subject><dc:subject>5201 Applied and developmental psychology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6b49w3pj</dc:identifier><dc:identifier>https://escholarship.org/content/qt6b49w3pj/qt6b49w3pj.pdf</dc:identifier><dc:identifier>info:doi/10.1080/09297049.2021.1938987</dc:identifier><dc:type>article</dc:type><dc:source>Child Neuropsychology, vol 28, iss 1</dc:source><dc:coverage>1 - 13</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt00k241wp</identifier><datestamp>2026-07-31T11:59:19Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt00k241wp</dc:identifier><dc:title>Validation of the NIH Toolbox Cognitive Battery in intellectual disability</dc:title><dc:creator>Shields, Rebecca H</dc:creator><dc:creator>Kaat, Aaron J</dc:creator><dc:creator>McKenzie, Forrest J</dc:creator><dc:creator>Drayton, Andrea</dc:creator><dc:creator>Sansone, Stephanie M</dc:creator><dc:creator>Coleman, Jeanine</dc:creator><dc:creator>Michalak, Claire</dc:creator><dc:creator>Riley, Karen</dc:creator><dc:creator>Berry-Kravis, Elizabeth</dc:creator><dc:creator>Gershon, Richard C</dc:creator><dc:creator>Widaman, Keith F</dc:creator><dc:creator>Hessl, David</dc:creator><dc:date>2020-03-24</dc:date><dc:description>OBJECTIVE: To advance the science of cognitive outcome measurement for individuals with intellectual disability (ID), we established administration guidelines and evaluated the psychometric properties of the NIH-Toolbox Cognitive Battery (NIHTB-CB) for use in clinical research.
METHODS: We assessed feasibility, test-retest reliability, and convergent validity of the NIHTB-CB (measuring executive function, processing speed, memory, and language) by assessing 242 individuals with fragile X syndrome (FXS), Down syndrome (DS), and other ID, ages 6 through 25 years, with retesting completed after 1 month. To facilitate accessibility and measurement accuracy, we developed accommodations and standard assessment guidelines, documented in an e-manual. Finally, we assessed the sensitivity of the battery to expected syndrome-specific cognitive phenotypes.
RESULTS: Above a mental age of 5.0 years, all tests had excellent feasibility. More varied feasibility across tests was seen between mental ages of 3 and 4 years. Reliability and convergent validity ranged from moderate to strong. Each test and the Crystallized and Fluid Composite scores correlated moderately to strongly with IQ, and the Crystallized Composite had modest correlations with adaptive behavior. The NIHTB-CB showed known-groups validity by detecting expected executive function deficits in FXS and a receptive language deficit in DS.
CONCLUSION: The NIHTB-CB is a reliable and valid test battery for children and young adults with ID with a mental age of ≈5 years and above. Adaptations for very low-functioning or younger children with ID are needed for some subtests to expand the developmental range of the battery. Studies examining sensitivity to developmental and treatment changes are now warranted.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:subject>3202 Clinical Sciences (for-2020)</dc:subject><dc:subject>Fragile X Syndrome (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Rare Diseases (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Intellectual and Developmental Disabilities (IDD) (rcdc)</dc:subject><dc:subject>Basic Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Down Syndrome (rcdc)</dc:subject><dc:subject>4.2 Evaluation of markers and technologies (hrcs-rac)</dc:subject><dc:subject>Mental health (hrcs-hc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Child</dc:subject><dc:subject>Preschool (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Intellectual Disability (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>National Institutes of Health (U.S.) (mesh)</dc:subject><dc:subject>Neuropsychological Tests (mesh)</dc:subject><dc:subject>Psychometrics (mesh)</dc:subject><dc:subject>Reproducibility of Results (mesh)</dc:subject><dc:subject>United States (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Reproducibility of Results (mesh)</dc:subject><dc:subject>Neuropsychological Tests (mesh)</dc:subject><dc:subject>Psychometrics (mesh)</dc:subject><dc:subject>National Institutes of Health (U.S.) (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Child</dc:subject><dc:subject>Preschool (mesh)</dc:subject><dc:subject>United States (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Intellectual Disability (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Child</dc:subject><dc:subject>Preschool (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Intellectual Disability (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>National Institutes of Health (U.S.) (mesh)</dc:subject><dc:subject>Neuropsychological Tests (mesh)</dc:subject><dc:subject>Psychometrics (mesh)</dc:subject><dc:subject>Reproducibility of Results (mesh)</dc:subject><dc:subject>United States (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>1103 Clinical Sciences (for)</dc:subject><dc:subject>1109 Neurosciences (for)</dc:subject><dc:subject>1702 Cognitive Sciences (for)</dc:subject><dc:subject>Neurology &amp; Neurosurgery (science-metrix)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY-NC-ND</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/00k241wp</dc:identifier><dc:identifier>https://escholarship.org/content/qt00k241wp/qt00k241wp.pdf</dc:identifier><dc:identifier>info:doi/10.1212/wnl.0000000000009131</dc:identifier><dc:type>article</dc:type><dc:source>Neurology, vol 94, iss 12</dc:source><dc:coverage>10.1212/wnl.0000000000009131</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2mk4m0jd</identifier><datestamp>2026-07-31T11:56:12Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2mk4m0jd</dc:identifier><dc:title>Specific domains of positive childhood experiences (PCEs) associated with improved adult health: A nationally representative study</dc:title><dc:creator>La Charite, Jaime</dc:creator><dc:creator>Khan, Mariam</dc:creator><dc:creator>Dudovitz, Rebecca</dc:creator><dc:creator>Nuckols, Teryl</dc:creator><dc:creator>Sastry, Narayan</dc:creator><dc:creator>Huang, Cher</dc:creator><dc:creator>Lei, Yvonne</dc:creator><dc:creator>Schickedanz, Adam</dc:creator><dc:date>2023-12-01</dc:date><dc:description>Background: Positive childhood experiences (PCEs) are supportive relationships and environments associated with improved health when aggregated into composite scores. Adverse childhood experiences (ACEs), a reciprocal measure to PCEs, are associated with worse health in aggregate scores and when disaggregated into measures of specific ACE types (hereafter domains). Understanding the associations between specific PCE domains and health, while accounting for ACEs, may direct investigations and intervention planning to foster PCE exposure.
Methods: We analyzed data from the nationally representative United States longitudinal Panel Study of Income Dynamics. Five PCE domains were examined: (i) peer support and healthy school climate, (ii) neighborhood safety, (iii) neighborhood support, and nurturing relationships with (iv) maternal and (v) paternal figures. Survey weighted logistic regression models tested associations between each PCE domain measure and adult general health rating, controlling for demographic covariates and nine ACE exposures: physical, emotional, or sexual abuse/assault; emotional neglect; witnessing intimate partner violence or household substance use; having a parent with mental illness; any parental separation or divorce; and/or having a deceased or estranged parent. Secondary outcomes included adult functional status and mental and physical health diagnoses. We also tested for statistical interactions between PCE domain and ACE score measures.
Results: The sample included 7105 adults. Higher scores for the "peer support and healthy school climate" and "neighborhood safety" domain measures showed the most protective relationships with the adverse health conditions tested, most notably for mental illness. The relationship between PCE domain measures and health outcomes was attenuated, but not statistically moderated by ACE exposure.
Conclusion: Experiencing childhood peer support, a healthy school climate, and neighborhood safety were especially protective against multiple adult health conditions, including for ACE exposed individuals. Interventions that promote PCEs may yield population health gains.</dc:description><dc:subject>4206 Public Health (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>44 Human Society (for-2020)</dc:subject><dc:subject>Basic Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Social Determinants of Health (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Mental Illness (rcdc)</dc:subject><dc:subject>Violence Research (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Mental health (hrcs-hc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Positive childhood experiences</dc:subject><dc:subject>Adverse childhood experiences</dc:subject><dc:subject>Self-rated health</dc:subject><dc:subject>Mental health</dc:subject><dc:subject>School</dc:subject><dc:subject>Neighborhood</dc:subject><dc:subject>Adverse childhood experiences</dc:subject><dc:subject>Mental health</dc:subject><dc:subject>Neighborhood</dc:subject><dc:subject>Positive childhood experiences</dc:subject><dc:subject>School</dc:subject><dc:subject>Self-rated health</dc:subject><dc:subject>1117 Public Health and Health Services (for)</dc:subject><dc:subject>4202 Epidemiology (for-2020)</dc:subject><dc:subject>4206 Public health (for-2020)</dc:subject><dc:subject>4410 Sociology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY-NC-ND</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2mk4m0jd</dc:identifier><dc:identifier>https://escholarship.org/content/qt2mk4m0jd/qt2mk4m0jd.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.ssmph.2023.101558</dc:identifier><dc:type>article</dc:type><dc:source>SSM - Population Health, vol 24</dc:source><dc:coverage>101558</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9qt8b8md</identifier><datestamp>2026-07-31T11:55:21Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9qt8b8md</dc:identifier><dc:title>Complementary biomolecular coassemblies direct energy transport for cardiac photostimulators</dc:title><dc:creator>Yao, Ze-Fan</dc:creator><dc:creator>Lim, Sujeung</dc:creator><dc:creator>Kuang, Yuyao</dc:creator><dc:creator>Lundqvist, Emil M</dc:creator><dc:creator>Celt, Natalie</dc:creator><dc:creator>Chung, Caleb O</dc:creator><dc:creator>Lee, Kathryn K</dc:creator><dc:creator>Nguyen, Krystal</dc:creator><dc:creator>Le, Lanie</dc:creator><dc:creator>Tang, Sheng Wei</dc:creator><dc:creator>Milligan, Griffin M</dc:creator><dc:creator>Kohl, Phillip</dc:creator><dc:creator>Sudarshan, Tarunya Rao</dc:creator><dc:creator>Li, Youli</dc:creator><dc:creator>Eguchi, Asuka</dc:creator><dc:creator>Paravastu, Anant K</dc:creator><dc:creator>Zaragoza, Michael V</dc:creator><dc:creator>Fishman, Dmitry A</dc:creator><dc:creator>Ardoña, Herdeline Ann M</dc:creator><dc:date>2025-09-09</dc:date><dc:description>Charge and energy transport within living systems are fundamental processes that enable the autonomous function of excitable cells and tissues. To date, localized control of these transport processes has been enabled by genetic modification approaches to render light sensitivity to cells. Here, we present peptidic nanoassemblies as constituents of a cardiac biomaterial platform that leverages complementary sequence interactions to direct photoinduced energy transport at the cellular interface. Photophysical characterizations and conductivity measurements confirm the occurrence of energy/charge transfer and photocurrent generation upon optical excitation in both dry and electrolytic environments. Comparing an electrostatic sequence pair against a sequence-matched donor-acceptor coassembly, we demonstrate that the sequence design with charge complementarity shows more prominent photocurrent behavior. With the flanking bioadhesive units, the primary and stem cell-derived cardiomyocytes interfaced with covalently stabilized films of the optoelectronic nanostructures exhibited material-stimulated genotypic, structural, or functional cardiac features. Collectively, our findings introduce an optoelectronic cardiac biomaterial where coassembled peptide nanostructures are molecularly designed to induce light sensitivity in excitable cells without gene modification, influencing in vitro cardiac contractile behavior and expression of cardiac markers.</dc:description><dc:subject>3403 Macromolecular and Materials Chemistry (for-2020)</dc:subject><dc:subject>40 Engineering (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>Biotechnology (rcdc)</dc:subject><dc:subject>Heart Disease (rcdc)</dc:subject><dc:subject>Bioengineering (rcdc)</dc:subject><dc:subject>Stem Cell Research (rcdc)</dc:subject><dc:subject>Cardiovascular (rcdc)</dc:subject><dc:subject>7 Affordable and Clean Energy (sdg)</dc:subject><dc:subject>Myocytes</dc:subject><dc:subject>Cardiac (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Nanostructures (mesh)</dc:subject><dc:subject>Peptides (mesh)</dc:subject><dc:subject>Energy Transfer (mesh)</dc:subject><dc:subject>Biocompatible Materials (mesh)</dc:subject><dc:subject>Light (mesh)</dc:subject><dc:subject>photostimulation</dc:subject><dc:subject>cardiac tissue engineering</dc:subject><dc:subject>self-assembly</dc:subject><dc:subject>peptide nanostructures</dc:subject><dc:subject>biomaterials</dc:subject><dc:subject>Myocytes</dc:subject><dc:subject>Cardiac (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Peptides (mesh)</dc:subject><dc:subject>Biocompatible Materials (mesh)</dc:subject><dc:subject>Energy Transfer (mesh)</dc:subject><dc:subject>Light (mesh)</dc:subject><dc:subject>Nanostructures (mesh)</dc:subject><dc:subject>biomaterials</dc:subject><dc:subject>cardiac tissue engineering</dc:subject><dc:subject>peptide nanostructures</dc:subject><dc:subject>photostimulation</dc:subject><dc:subject>self-assembly</dc:subject><dc:subject>Myocytes</dc:subject><dc:subject>Cardiac (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Nanostructures (mesh)</dc:subject><dc:subject>Peptides (mesh)</dc:subject><dc:subject>Energy Transfer (mesh)</dc:subject><dc:subject>Biocompatible Materials (mesh)</dc:subject><dc:subject>Light (mesh)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9qt8b8md</dc:identifier><dc:identifier>https://escholarship.org/content/qt9qt8b8md/qt9qt8b8md.pdf</dc:identifier><dc:identifier>info:doi/10.1073/pnas.2509467122</dc:identifier><dc:type>article</dc:type><dc:source>Proceedings of the National Academy of Sciences of the United States of America, vol 122, iss 36</dc:source><dc:coverage>e2509467122</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt32t6k24n</identifier><datestamp>2026-07-31T11:43:20Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt32t6k24n</dc:identifier><dc:title>“Housing Is Health Care”: Treating Homelessness in Safety‐net Hospitals</dc:title><dc:creator>Hanssmann, Christoph</dc:creator><dc:creator>Shim, Janet K</dc:creator><dc:creator>Yen, Irene H</dc:creator><dc:creator>Fleming, Mark D</dc:creator><dc:creator>Van Natta, Meredith</dc:creator><dc:creator>Thompson‐Lastad, Ariana</dc:creator><dc:creator>Rasidjan, Maryani Palupy</dc:creator><dc:creator>Burke, Nancy J</dc:creator><dc:date>2022-03-01</dc:date><dc:description>As medicine integrates social and structural determinants into health care, some health workers redefine housing as medical treatment. This article discusses how health workers in two U.S. urban safety-net hospitals worked with patients without stable housing. We observed ethnographically how health workers helped patients seek housing in a sharply stratified housing economy. Analyzing in-depth interviews and observations, we show how health workers: (1) understood housing as health care and navigated limits of individual care in a structurally produced housing crisis; and (2) developed and enacted practices of biomedical and sociopolitical stabilization, including eligibilizing and data-tracking work. We discuss how health workers bridged individually focused techniques of clinical care with structural critiques of stratified housing economies despite contradictions in this approach. Finally, we analyze the implications of providers' extension of medical stabilization into social, economic, and political realms, even as they remained caught in the structural dynamics they sought to address.</dc:description><dc:subject>4406 Human Geography (for-2020)</dc:subject><dc:subject>4407 Policy and Administration (for-2020)</dc:subject><dc:subject>44 Human Society (for-2020)</dc:subject><dc:subject>Social Determinants of Health (rcdc)</dc:subject><dc:subject>Health Services (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>8.1 Organisation and delivery of services (hrcs-rac)</dc:subject><dc:subject>Generic health relevance (hrcs-hc)</dc:subject><dc:subject>Anthropology</dc:subject><dc:subject>Medical (mesh)</dc:subject><dc:subject>Health Personnel (mesh)</dc:subject><dc:subject>Ill-Housed Persons (mesh)</dc:subject><dc:subject>Housing (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Safety-net Providers (mesh)</dc:subject><dc:subject>homelessness</dc:subject><dc:subject>housing</dc:subject><dc:subject>hospitals</dc:subject><dc:subject>marginalized populations</dc:subject><dc:subject>inequity</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Housing (mesh)</dc:subject><dc:subject>Health Personnel (mesh)</dc:subject><dc:subject>Anthropology</dc:subject><dc:subject>Medical (mesh)</dc:subject><dc:subject>Safety-net Providers (mesh)</dc:subject><dc:subject>Ill-Housed Persons (mesh)</dc:subject><dc:subject>homelessness</dc:subject><dc:subject>hospitals</dc:subject><dc:subject>housing</dc:subject><dc:subject>inequity</dc:subject><dc:subject>marginalized populations</dc:subject><dc:subject>Anthropology</dc:subject><dc:subject>Medical (mesh)</dc:subject><dc:subject>Health Personnel (mesh)</dc:subject><dc:subject>Ill-Housed Persons (mesh)</dc:subject><dc:subject>Housing (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Safety-net Providers (mesh)</dc:subject><dc:subject>1601 Anthropology (for)</dc:subject><dc:subject>Public Health (science-metrix)</dc:subject><dc:subject>4401 Anthropology (for-2020)</dc:subject><dc:subject>4410 Sociology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/32t6k24n</dc:identifier><dc:identifier>https://escholarship.org/content/qt32t6k24n/qt32t6k24n.pdf</dc:identifier><dc:identifier>info:doi/10.1111/maq.12665</dc:identifier><dc:type>article</dc:type><dc:source>Medical Anthropology Quarterly, vol 36, iss 1</dc:source><dc:coverage>44 - 63</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0569n02q</identifier><datestamp>2026-07-31T11:39:45Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0569n02q</dc:identifier><dc:title>Noise limits for dc SQUID readout of high-Q resonators below 300 MHz</dc:title><dc:creator>Ankel, V</dc:creator><dc:creator>Bartram, C</dc:creator><dc:creator>Begin, J</dc:creator><dc:creator>Bell, C</dc:creator><dc:creator>Brouwer, L</dc:creator><dc:creator>Chaudhuri, S</dc:creator><dc:creator>Clarke, John</dc:creator><dc:creator>Cho, H-M</dc:creator><dc:creator>Corbin, J</dc:creator><dc:creator>Craddock, W</dc:creator><dc:creator>Cuadra, S</dc:creator><dc:creator>Droster, A</dc:creator><dc:creator>Durkin, M</dc:creator><dc:creator>Echevers, J</dc:creator><dc:creator>Fry, JT</dc:creator><dc:creator>Hilton, G</dc:creator><dc:creator>Irwin, KD</dc:creator><dc:creator>Keller, A</dc:creator><dc:creator>Kolevatov, R</dc:creator><dc:creator>Kunder, A</dc:creator><dc:creator>Li, D</dc:creator><dc:creator>Otto, N</dc:creator><dc:creator>Pappas, KMW</dc:creator><dc:creator>Rapidis, NM</dc:creator><dc:creator>Salemi, CP</dc:creator><dc:creator>Schmidt, D</dc:creator><dc:creator>Simanovskaia, M</dc:creator><dc:creator>Singh, J</dc:creator><dc:creator>Stark, P</dc:creator><dc:creator>Tesche, CD</dc:creator><dc:creator>Ullom, J</dc:creator><dc:creator>Vale, L</dc:creator><dc:creator>van Assendelft, EC</dc:creator><dc:creator>van Bibber, K</dc:creator><dc:creator>Vissers, M</dc:creator><dc:creator>Wells, K</dc:creator><dc:creator>Wiedemann, J</dc:creator><dc:creator>Winslow, L</dc:creator><dc:creator>Wright, D</dc:creator><dc:creator>Yi, AK</dc:creator><dc:creator>Young, BA</dc:creator><dc:date>2025-09-07</dc:date><dc:description>We present the limits on noise for the readout of cryogenic high-Q resonators using dc Superconducting Quantum Interference Devices (SQUIDs) below 300 MHz. This analysis uses realized first-stage SQUIDs (previously published), whose performance is well described by Tesche–Clarke (TC) theory, coupled directly to the resonators. We also present data from a prototype second-stage dc SQUID array designed to couple to this first-stage SQUID as a follow-on amplifier with high system bandwidth. This analysis is the first full consideration of dc SQUID noise performance referred to a high-Q resonator over this frequency range and is presented relative to the standard quantum limit. We include imprecision, backaction, and backaction–imprecision noise correlations from TC theory, the noise contributed by the second-stage SQUIDs, wiring, and preamplifiers, and optimizations for both on-resonance measurements and off-resonance scan sensitivity. This architecture has modern relevance due to the increased interest in axion searches and the requirements of the DMRadio-m3 axion search, which uses dc SQUIDs in this frequency range.</dc:description><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>5104 Condensed Matter Physics (for-2020)</dc:subject><dc:subject>ATAP-GENERAL (c-lbnl-label)</dc:subject><dc:subject>ATAP-2025 (c-lbnl-label)</dc:subject><dc:subject>ATAP-SMP (c-lbnl-label)</dc:subject><dc:subject>01 Mathematical Sciences (for)</dc:subject><dc:subject>02 Physical Sciences (for)</dc:subject><dc:subject>09 Engineering (for)</dc:subject><dc:subject>Applied Physics (science-metrix)</dc:subject><dc:subject>40 Engineering (for-2020)</dc:subject><dc:subject>49 Mathematical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0569n02q</dc:identifier><dc:identifier>https://escholarship.org/content/qt0569n02q/qt0569n02q.pdf</dc:identifier><dc:identifier>info:doi/10.1063/5.0280831</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Applied Physics, vol 138, iss 9</dc:source><dc:coverage>094505</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5fc2k9r2</identifier><datestamp>2026-07-31T11:31:23Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5fc2k9r2</dc:identifier><dc:title>Shapes and vorticities of superfluid helium nanodroplets</dc:title><dc:creator>Gomez, Luis F</dc:creator><dc:creator>Ferguson, Ken R</dc:creator><dc:creator>Cryan, James P</dc:creator><dc:creator>Bacellar, Camila</dc:creator><dc:creator>Tanyag, Rico Mayro P</dc:creator><dc:creator>Jones, Curtis</dc:creator><dc:creator>Schorb, Sebastian</dc:creator><dc:creator>Anielski, Denis</dc:creator><dc:creator>Belkacem, Ali</dc:creator><dc:creator>Bernando, Charles</dc:creator><dc:creator>Boll, Rebecca</dc:creator><dc:creator>Bozek, John</dc:creator><dc:creator>Carron, Sebastian</dc:creator><dc:creator>Chen, Gang</dc:creator><dc:creator>Delmas, Tjark</dc:creator><dc:creator>Englert, Lars</dc:creator><dc:creator>Epp, Sascha W</dc:creator><dc:creator>Erk, Benjamin</dc:creator><dc:creator>Foucar, Lutz</dc:creator><dc:creator>Hartmann, Robert</dc:creator><dc:creator>Hexemer, Alexander</dc:creator><dc:creator>Huth, Martin</dc:creator><dc:creator>Kwok, Justin</dc:creator><dc:creator>Leone, Stephen R</dc:creator><dc:creator>Ma, Jonathan HS</dc:creator><dc:creator>Maia, Filipe RNC</dc:creator><dc:creator>Malmerberg, Erik</dc:creator><dc:creator>Marchesini, Stefano</dc:creator><dc:creator>Neumark, Daniel M</dc:creator><dc:creator>Poon, Billy</dc:creator><dc:creator>Prell, James</dc:creator><dc:creator>Rolles, Daniel</dc:creator><dc:creator>Rudek, Benedikt</dc:creator><dc:creator>Rudenko, Artem</dc:creator><dc:creator>Seifrid, Martin</dc:creator><dc:creator>Siefermann, Katrin R</dc:creator><dc:creator>Sturm, Felix P</dc:creator><dc:creator>Swiggers, Michele</dc:creator><dc:creator>Ullrich, Joachim</dc:creator><dc:creator>Weise, Fabian</dc:creator><dc:creator>Zwart, Petrus</dc:creator><dc:creator>Bostedt, Christoph</dc:creator><dc:creator>Gessner, Oliver</dc:creator><dc:creator>Vilesov, Andrey F</dc:creator><dc:date>2014-08-22</dc:date><dc:description>Helium nanodroplets are considered ideal model systems to explore quantum hydrodynamics in self-contained, isolated superfluids. However, exploring the dynamic properties of individual droplets is experimentally challenging. In this work, we used single-shot femtosecond x-ray coherent diffractive imaging to investigate the rotation of single, isolated superfluid helium-4 droplets containing ~10(8) to 10(11) atoms. The formation of quantum vortex lattices inside the droplets is confirmed by observing characteristic Bragg patterns from xenon clusters trapped in the vortex cores. The vortex densities are up to five orders of magnitude larger than those observed in bulk liquid helium. The droplets exhibit large centrifugal deformations but retain axially symmetric shapes at angular velocities well beyond the stability range of viscous classical droplets.</dc:description><dc:subject>5108 Quantum Physics (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>5102 Atomic</dc:subject><dc:subject>Molecular and Optical Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>General Science &amp; Technology (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5fc2k9r2</dc:identifier><dc:identifier>https://escholarship.org/content/qt5fc2k9r2/qt5fc2k9r2.pdf</dc:identifier><dc:identifier>info:doi/10.1126/science.1252395</dc:identifier><dc:type>article</dc:type><dc:source>Science, vol 345, iss 6199</dc:source><dc:coverage>906 - 909</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1qs1c3nk</identifier><datestamp>2026-07-31T11:27:40Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1qs1c3nk</dc:identifier><dc:title>PrestoCell: A persistence-based clustering approach for rapid and robust segmentation of cellular morphology in three-dimensional data</dc:title><dc:creator>Wu, Yue</dc:creator><dc:creator>Brust-Mascher, Ingrid</dc:creator><dc:creator>Gareau, Melanie G</dc:creator><dc:creator>De Loera, Jesus A</dc:creator><dc:creator>Reardon, Colin</dc:creator><dc:contributor>Neueder, Andreas</dc:contributor><dc:date>2024-01-01</dc:date><dc:description>Light microscopy methods have continued to advance allowing for unprecedented analysis of various cell types in tissues including the brain. Although the functional state of some cell types such as microglia can be determined by morphometric analysis, techniques to perform robust, quick, and accurate measurements have not kept pace with the amount of imaging data that can now be generated. Most of these image segmentation tools are further burdened by an inability to assess structures in three-dimensions. Despite the rise of machine learning techniques, the nature of some biological structures prevents the training of several current day implementations. Here we present PrestoCell, a novel use of persistence-based clustering to segment cells in light microscopy images, as a customized Python-based tool that leverages the free multidimensional image viewer Napari. In evaluating and comparing PrestoCell to several existing tools, including 3DMorph, Omipose, and Imaris, we demonstrate that PrestoCell produces image segmentations that rival these solutions. In particular, our use of cell nuclei information resulted in the ability to correctly segment individual cells that were interacting with one another to increase accuracy. These benefits are in addition to the simplified graphically based user refinement of cell masks that does not require expensive commercial software licenses. We further demonstrate that PrestoCell can complete image segmentation in large samples from light sheet microscopy, allowing quantitative analysis of these large datasets. As an open-source program that leverages freely available visualization software, with minimum computer requirements, we believe that PrestoCell can significantly increase the ability of users without data or computer science expertise to perform complex image analysis.</dc:description><dc:subject>46 Information and Computing Sciences (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>3102 Bioinformatics and Computational Biology (for-2020)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Bioengineering (rcdc)</dc:subject><dc:subject>Biomedical Imaging (rcdc)</dc:subject><dc:subject>Machine Learning and Artificial Intelligence (rcdc)</dc:subject><dc:subject>Networking and Information Technology R&amp;D (NITRD) (rcdc)</dc:subject><dc:subject>Generic health relevance (hrcs-hc)</dc:subject><dc:subject>Brain (mesh)</dc:subject><dc:subject>Cell Nucleus (mesh)</dc:subject><dc:subject>Cluster Analysis (mesh)</dc:subject><dc:subject>Image Processing</dc:subject><dc:subject>Computer-Assisted (mesh)</dc:subject><dc:subject>Machine Learning (mesh)</dc:subject><dc:subject>Brain (mesh)</dc:subject><dc:subject>Cell Nucleus (mesh)</dc:subject><dc:subject>Cluster Analysis (mesh)</dc:subject><dc:subject>Image Processing</dc:subject><dc:subject>Computer-Assisted (mesh)</dc:subject><dc:subject>Machine Learning (mesh)</dc:subject><dc:subject>Brain (mesh)</dc:subject><dc:subject>Cell Nucleus (mesh)</dc:subject><dc:subject>Cluster Analysis (mesh)</dc:subject><dc:subject>Image Processing</dc:subject><dc:subject>Computer-Assisted (mesh)</dc:subject><dc:subject>Machine Learning (mesh)</dc:subject><dc:subject>General Science &amp; Technology (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1qs1c3nk</dc:identifier><dc:identifier>https://escholarship.org/content/qt1qs1c3nk/qt1qs1c3nk.pdf</dc:identifier><dc:identifier>info:doi/10.1371/journal.pone.0299006</dc:identifier><dc:type>article</dc:type><dc:source>PLOS ONE, vol 19, iss 2</dc:source><dc:coverage>e0299006</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4dc9w925</identifier><datestamp>2026-07-31T11:27:28Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4dc9w925</dc:identifier><dc:title>Drug development for neurodevelopmental disorders: lessons learned from fragile X syndrome</dc:title><dc:creator>Berry-Kravis, Elizabeth M</dc:creator><dc:creator>Lindemann, Lothar</dc:creator><dc:creator>Jønch, Aia E</dc:creator><dc:creator>Apostol, George</dc:creator><dc:creator>Bear, Mark F</dc:creator><dc:creator>Carpenter, Randall L</dc:creator><dc:creator>Crawley, Jacqueline N</dc:creator><dc:creator>Curie, Aurore</dc:creator><dc:creator>Des Portes, Vincent</dc:creator><dc:creator>Hossain, Farah</dc:creator><dc:creator>Gasparini, Fabrizio</dc:creator><dc:creator>Gomez-Mancilla, Baltazar</dc:creator><dc:creator>Hessl, David</dc:creator><dc:creator>Loth, Eva</dc:creator><dc:creator>Scharf, Sebastian H</dc:creator><dc:creator>Wang, Paul P</dc:creator><dc:creator>Von Raison, Florian</dc:creator><dc:creator>Hagerman, Randi</dc:creator><dc:creator>Spooren, Will</dc:creator><dc:creator>Jacquemont, Sébastien</dc:creator><dc:date>2018-04-01</dc:date><dc:description>Key PointsFragile X syndrome is a monogenic neurodevelopmental disorder associated with intellectual disability and autism spectrum disorders.Animal models have provided insights into the neurobiological mechanisms and enabled the identification of novel drug targets.Promising targets include metabotropic glutamate receptor 5 (mGluR5), GABA receptors and proteins that are regulated or regulate fragile X mental retardation protein 1 (FMRP).Many compounds have been extensively investigated in preclinical studies and are able to rescue altered levels of protein synthesis, synaptic plasticity and behaviour. Behavioural phenotypes in Fmr1-knockout mice are difficult to measure, and the rescue of these deficits has been inconsistent across these different drugs.Subsequent clinical trials in humans were unable to demonstrate any improvement using behavioural measures as primary end points.Objective measures of core phenotypes such as direct assessments of cognition and language rather than secondary behaviours need to be implemented in future trials.Very young patients have not yet been included in clinical trials, and this may be the only group in which effects of a disease-modifying agent targeting cognition and development can be seen. Efforts may need to be redirected towards the implementation of longer trials in younger children accompanied by learning interventions measuring cognitive and developmental outcomes.</dc:description><dc:subject>3214 Pharmacology and Pharmaceutical Sciences (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>Fragile X Syndrome (rcdc)</dc:subject><dc:subject>Rare Diseases (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Orphan Drug (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Autism (rcdc)</dc:subject><dc:subject>Intellectual and Developmental Disabilities (IDD) (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>2.1 Biological and endogenous factors (hrcs-rac)</dc:subject><dc:subject>5.1 Pharmaceuticals (hrcs-rac)</dc:subject><dc:subject>Mental health (hrcs-hc)</dc:subject><dc:subject>Neurological (hrcs-hc)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Clinical Trials as Topic (mesh)</dc:subject><dc:subject>Drug Development (mesh)</dc:subject><dc:subject>Drug Evaluation</dc:subject><dc:subject>Preclinical (mesh)</dc:subject><dc:subject>Fragile X Syndrome (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Neurodevelopmental Disorders (mesh)</dc:subject><dc:subject>Neurotransmitter Agents (mesh)</dc:subject><dc:subject>Randomized Controlled Trials as Topic (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Fragile X Syndrome (mesh)</dc:subject><dc:subject>Neurotransmitter Agents (mesh)</dc:subject><dc:subject>Drug Evaluation</dc:subject><dc:subject>Preclinical (mesh)</dc:subject><dc:subject>Clinical Trials as Topic (mesh)</dc:subject><dc:subject>Randomized Controlled Trials as Topic (mesh)</dc:subject><dc:subject>Neurodevelopmental Disorders (mesh)</dc:subject><dc:subject>Drug Development (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Clinical Trials as Topic (mesh)</dc:subject><dc:subject>Drug Development (mesh)</dc:subject><dc:subject>Drug Evaluation</dc:subject><dc:subject>Preclinical (mesh)</dc:subject><dc:subject>Fragile X Syndrome (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Neurodevelopmental Disorders (mesh)</dc:subject><dc:subject>Neurotransmitter Agents (mesh)</dc:subject><dc:subject>Randomized Controlled Trials as Topic (mesh)</dc:subject><dc:subject>06 Biological Sciences (for)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:subject>Pharmacology &amp; Pharmacy (science-metrix)</dc:subject><dc:subject>31 Biological sciences (for-2020)</dc:subject><dc:subject>32 Biomedical and clinical sciences (for-2020)</dc:subject><dc:subject>42 Health sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4dc9w925</dc:identifier><dc:identifier>https://escholarship.org/content/qt4dc9w925/qt4dc9w925.pdf</dc:identifier><dc:identifier>info:doi/10.1038/nrd.2017.221</dc:identifier><dc:type>article</dc:type><dc:source>Nature Reviews Drug Discovery, vol 17, iss 4</dc:source><dc:coverage>280 - 299</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt47z356dm</identifier><datestamp>2026-07-31T11:27:24Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt47z356dm</dc:identifier><dc:title>Using the NIH Toolbox to Assess Cognition in Adolescents and Young Adults with Autism Spectrum Disorders</dc:title><dc:creator>Solomon, Marjorie</dc:creator><dc:creator>Gordon, Andrew</dc:creator><dc:creator>Iosif, Ana‐Maria</dc:creator><dc:creator>Geddert, Raphael</dc:creator><dc:creator>Krug, Marie K</dc:creator><dc:creator>Mundy, Peter</dc:creator><dc:creator>Hessl, David</dc:creator><dc:date>2021-03-01</dc:date><dc:description>Despite the clinically significant impact of executive dysfunction on the outcomes of adolescents and young adults with autism spectrum disorders (ASD), we lack a clear understanding of its prevalence, profile, and development. To address this gap, we administered the NIH Toolbox Cognition Battery to a cross-sectional Intelligence Quotient (IQ) case-matched cohort with ASD (n = 66) and typical development (TD; n = 66) ages 12-22. We used a general linear model framework to examine group differences in task performance and their associations with age. Latent profile analysis (LPA) was used to identify subgroups of individuals with similar cognitive profiles. Compared to IQ case-matched controls, ASD demonstrated poorer performance on inhibitory control (P &amp;lt; 0.001), cognitive flexibility (P &amp;lt; 0.001), episodic memory (P &amp;lt; 0.02), and processing speed (P &amp;lt; 0.001) (components of Fluid Cognition), but not on vocabulary or word reading (components of Crystallized Cognition). There was a significant positive association between age and Crystallized and Fluid Cognition in both groups. For Fluid (but not Crystallized) Cognition, ASD performed more poorly than TD at all ages. A four-group LPA model based on subtest scores best fit the data. Eighty percent of ASD belonged to two groups that exhibited relatively stronger Crystallized versus Fluid Cognition. Attention deficits were not associated with Toolbox subtest scores, but were lowest in the group with the lowest proportion of autistic participants. Adaptive functioning was poorer in the groups with the greatest proportion of autistic participants. Autistic persons are especially impaired on Fluid Cognition, and this more flexible form of thinking remains poorer in the ASD group through adolescence. LAY SUMMARY: A set of brief tests of cognitive functioning called the NIH Toolbox Cognition Battery was administered to adolescents and young adults with autism spectrum disorders (ASD; n = 66) and typical development (TD; n = 66) ages 12-22 years. Compared to TD, ASD showed poorer performance in inhibiting responses, acting flexibly, memorizing events, and processing information quickly (Fluid Cognition). Groups did not differ on vocabulary or word reading (Crystallized Cognition). Crystallized and Fluid Cognition increased with age in both groups, but the ASD group showed lower Fluid, but not Crystallized, Cognition than TD at all ages. A categorization analysis including all participants showed that most participants with ASD fell into one of two categories: a group characterized by poor performance across all tasks, or a group characterized by relatively stronger Crystallized compared to Fluid Cognition. Adaptive functioning was poorer for participants in these groups, which consisted of mostly individuals with ASD, while ADHD symptoms were lowest in the group with the greatest proportion of TD participants.</dc:description><dc:subject>5202 Biological Psychology (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>52 Psychology (for-2020)</dc:subject><dc:subject>Autism (rcdc)</dc:subject><dc:subject>Intellectual and Developmental Disabilities (IDD) (rcdc)</dc:subject><dc:subject>Basic Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>2.1 Biological and endogenous factors (hrcs-rac)</dc:subject><dc:subject>2.3 Psychological</dc:subject><dc:subject>social and economic factors (hrcs-rac)</dc:subject><dc:subject>Mental health (hrcs-hc)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Attention Deficit Disorder with Hyperactivity (mesh)</dc:subject><dc:subject>Autism Spectrum Disorder (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Cross-Sectional Studies (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Intelligence Tests (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Neuropsychological Tests (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>executive control</dc:subject><dc:subject>cognitive control</dc:subject><dc:subject>executive functions</dc:subject><dc:subject>adolescents</dc:subject><dc:subject>young adults</dc:subject><dc:subject>NIH Toolbox</dc:subject><dc:subject>latent profile analysis</dc:subject><dc:subject>adults</dc:subject><dc:subject>phenotypes</dc:subject><dc:subject>subtypes of ASD</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Cross-Sectional Studies (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Attention Deficit Disorder with Hyperactivity (mesh)</dc:subject><dc:subject>Intelligence Tests (mesh)</dc:subject><dc:subject>Neuropsychological Tests (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Autism Spectrum Disorder (mesh)</dc:subject><dc:subject>NIH Toolbox</dc:subject><dc:subject>adolescents</dc:subject><dc:subject>adults</dc:subject><dc:subject>cognitive control</dc:subject><dc:subject>executive control</dc:subject><dc:subject>executive functions</dc:subject><dc:subject>latent profile analysis</dc:subject><dc:subject>phenotypes</dc:subject><dc:subject>subtypes of ASD</dc:subject><dc:subject>young adults</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Attention Deficit Disorder with Hyperactivity (mesh)</dc:subject><dc:subject>Autism Spectrum Disorder (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Cross-Sectional Studies (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Intelligence Tests (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Neuropsychological Tests (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>1103 Clinical Sciences (for)</dc:subject><dc:subject>1109 Neurosciences (for)</dc:subject><dc:subject>1701 Psychology (for)</dc:subject><dc:subject>Developmental &amp; Child Psychology (science-metrix)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:subject>5201 Applied and developmental psychology (for-2020)</dc:subject><dc:subject>5203 Clinical and health psychology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/47z356dm</dc:identifier><dc:identifier>https://escholarship.org/content/qt47z356dm/qt47z356dm.pdf</dc:identifier><dc:identifier>info:doi/10.1002/aur.2399</dc:identifier><dc:type>article</dc:type><dc:source>Autism Research, vol 14, iss 3</dc:source><dc:coverage>500 - 511</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0rn0623z</identifier><datestamp>2026-07-31T11:24:08Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0rn0623z</dc:identifier><dc:title>Different paths, same destination: divergent action potential responses produce conserved cardiac fight‐or‐flight response in mouse and rabbit hearts</dc:title><dc:creator>Wang, Lianguo</dc:creator><dc:creator>Morotti, Stefano</dc:creator><dc:creator>Tapa, Srinivas</dc:creator><dc:creator>Stuart, Samantha D Francis</dc:creator><dc:creator>Jiang, Yanyan</dc:creator><dc:creator>Wang, Zhen</dc:creator><dc:creator>Myles, Rachel C</dc:creator><dc:creator>Brack, Kieran E</dc:creator><dc:creator>Ng, G André</dc:creator><dc:creator>Bers, Donald M</dc:creator><dc:creator>Grandi, Eleonora</dc:creator><dc:creator>Ripplinger, Crystal M</dc:creator><dc:date>2019-08-01</dc:date><dc:description>KEY POINTS: Cardiac electrophysiology and Ca2+ handling change rapidly during the fight-or-flight response to meet physiological demands. Despite dramatic differences in cardiac electrophysiology, the cardiac fight-or-flight response is highly conserved across species. In this study, we performed physiological sympathetic nerve stimulation (SNS) while optically mapping cardiac action potentials and intracellular Ca2+ transients in innervated mouse and rabbit hearts. Despite similar heart rate and Ca2+ handling responses between mouse and rabbit hearts, we found notable species differences in spatio-temporal repolarization dynamics during SNS. Species-specific computational models revealed that these electrophysiological differences allowed for enhanced Ca2+ handling (i.e. enhanced inotropy) in each species, suggesting that electrophysiological responses are fine-tuned across species to produce optimal cardiac fight-or-flight responses.
ABSTRACT: Sympathetic activation of the heart results in positive chronotropy and inotropy, which together rapidly increase cardiac output. The precise mechanisms that produce the electrophysiological and Ca2+ handling changes underlying chronotropic and inotropic responses have been studied in detail in isolated cardiac myocytes. However, few studies have examined the dynamic effects of physiological sympathetic nerve activation on cardiac action potentials (APs) and intracellular Ca2+ transients (CaTs) in the intact heart. Here, we performed bilateral sympathetic nerve stimulation (SNS) in fully innervated, Langendorff-perfused rabbit and mouse hearts. Dual optical mapping with voltage- and Ca2+ -sensitive dyes allowed for analysis of spatio-temporal AP and CaT dynamics. The rabbit heart responded to SNS with a monotonic increase in heart rate (HR), monotonic decreases in AP and CaT duration (APD, CaTD), and a monotonic increase in CaT amplitude. The mouse heart had similar HR and CaT responses; however, a pronounced biphasic APD response occurred, with initial prolongation (50.9&amp;nbsp;±&amp;nbsp;5.1&amp;nbsp;ms at t&amp;nbsp;=&amp;nbsp;0&amp;nbsp;s vs. 60.6&amp;nbsp;±&amp;nbsp;4.1&amp;nbsp;ms at t&amp;nbsp;=&amp;nbsp;15&amp;nbsp;s, P&amp;nbsp;&amp;lt;&amp;nbsp;0.05) followed by shortening (46.5&amp;nbsp;±&amp;nbsp;9.1&amp;nbsp;ms at t&amp;nbsp;=&amp;nbsp;60&amp;nbsp;s, P&amp;nbsp;=&amp;nbsp;NS vs. t&amp;nbsp;=&amp;nbsp;0). We determined the biphasic APD response in mouse was partly due to dynamic changes in HR during SNS and was exacerbated by β-adrenergic activation. Simulations with species-specific cardiac models revealed that transient APD prolongation in mouse allowed for greater and more rapid CaT responses, suggesting more rapid increases in contractility; conversely, the rabbit heart requires APD shortening to produce optimal inotropic responses. Thus, while the cardiac fight-or-flight response is highly conserved between species, the underlying mechanisms orchestrating these effects differ significantly.</dc:description><dc:subject>3208 Medical Physiology (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>Heart Disease (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Cardiovascular (rcdc)</dc:subject><dc:subject>Cardiovascular (hrcs-hc)</dc:subject><dc:subject>Action Potentials (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Calcium Signaling (mesh)</dc:subject><dc:subject>Heart (mesh)</dc:subject><dc:subject>Heart Rate (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Mice (mesh)</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Inbred C57BL (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Cardiovascular (mesh)</dc:subject><dc:subject>Myocardial Contraction (mesh)</dc:subject><dc:subject>Rabbits (mesh)</dc:subject><dc:subject>Stress</dc:subject><dc:subject>Physiological (mesh)</dc:subject><dc:subject>Sympathetic Nervous System (mesh)</dc:subject><dc:subject>Optical mapping</dc:subject><dc:subject>sympathetic activation</dc:subject><dc:subject>intracellular Ca2+</dc:subject><dc:subject>action potential</dc:subject><dc:subject>mathematical modelling</dc:subject><dc:subject>Heart (mesh)</dc:subject><dc:subject>Sympathetic Nervous System (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Inbred C57BL (mesh)</dc:subject><dc:subject>Rabbits (mesh)</dc:subject><dc:subject>Mice (mesh)</dc:subject><dc:subject>Calcium Signaling (mesh)</dc:subject><dc:subject>Action Potentials (mesh)</dc:subject><dc:subject>Heart Rate (mesh)</dc:subject><dc:subject>Myocardial Contraction (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Cardiovascular (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Stress</dc:subject><dc:subject>Physiological (mesh)</dc:subject><dc:subject>Optical mapping</dc:subject><dc:subject>action potential</dc:subject><dc:subject>intracellular Ca2+</dc:subject><dc:subject>mathematical modelling</dc:subject><dc:subject>sympathetic activation</dc:subject><dc:subject>Action Potentials (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Calcium Signaling (mesh)</dc:subject><dc:subject>Heart (mesh)</dc:subject><dc:subject>Heart Rate (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Mice (mesh)</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Inbred C57BL (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Cardiovascular (mesh)</dc:subject><dc:subject>Myocardial Contraction (mesh)</dc:subject><dc:subject>Rabbits (mesh)</dc:subject><dc:subject>Stress</dc:subject><dc:subject>Physiological (mesh)</dc:subject><dc:subject>Sympathetic Nervous System (mesh)</dc:subject><dc:subject>06 Biological Sciences (for)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:subject>Physiology (science-metrix)</dc:subject><dc:subject>31 Biological sciences (for-2020)</dc:subject><dc:subject>32 Biomedical and clinical sciences (for-2020)</dc:subject><dc:subject>42 Health sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0rn0623z</dc:identifier><dc:identifier>https://escholarship.org/content/qt0rn0623z/qt0rn0623z.pdf</dc:identifier><dc:identifier>info:doi/10.1113/jp278016</dc:identifier><dc:type>article</dc:type><dc:source>The Journal of Physiology, vol 597, iss 15</dc:source><dc:coverage>3867 - 3883</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5g96632f</identifier><datestamp>2026-07-31T11:10:08Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5g96632f</dc:identifier><dc:title>A Case Report of a 36-year-old Male Diagnosed with a Spontaneous Coronary Artery Dissection</dc:title><dc:creator>DeWitt, Stephen</dc:creator><dc:creator>McClinton, Jacob</dc:creator><dc:creator>Jarrell, Daniel</dc:creator><dc:date>2026-01-31</dc:date><dc:description>This case report discusses a 36-year-old male who presented to the emergency department with an atypical story for acute coronary syndrome (ACS). Initially, the patient was felt to have a &amp;nbsp;non-diagnostic electrocardiogram (ECG). Once the laboratory test results were obtained and the initial high-sensitivity troponin was noted to be elevated, the initial ECG was again reviewed. The patient was felt this time to have an abnormal ECG, demonstrating borderline ST elevation in leads I, aVL, and V2-V5. The interventional cardiologist on call was contacted, and the cardiac catheterization lab was activated. Upon left heart catheterization, the patient was found to have a spontaneous coronary artery dissection (SCAD) of the distal left anterior descending (LAD) artery. Post-catheterization, the patient was observed on cardiac telemetry and started on dual antiplatelet therapy. Echocardiogram revealed a preserved ejection fraction (EF), but hypokinesis of the apical anterior, anterolateral, inferior, and apical myocardium. The patient was discharged within 48 hours without any complications.</dc:description><dc:subject>electrocardiogram</dc:subject><dc:subject>EKG</dc:subject><dc:subject>cardiology</dc:subject><dc:subject>acute coronary syndrome</dc:subject><dc:subject>spontaneous coronary artery dissection</dc:subject><dc:subject>SCAD</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5g96632f</dc:identifier><dc:identifier>https://escholarship.org/content/qt5g96632f/qt5g96632f.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52022</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3mv231np</identifier><datestamp>2026-07-31T11:10:03Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3mv231np</dc:identifier><dc:title>Open Chest Wound with Sternal Fracture in the Emergency Department, a Case Report</dc:title><dc:creator>Ortego, Alexandra</dc:creator><dc:creator>Sharma, Vivek</dc:creator><dc:date>2026-01-31</dc:date><dc:description>This case highlights a rare and complex occurrence of an open chest wound with a pathologic sternal fracture. This resulted from a combination of remote chest trauma, chronic chest wall infection, malignancy, and ultimately, sternal osteomyelitis. A 69-year-old male presented with a large, open anterior chest wound, chronic ulceration, and weight loss. Thirty years earlier, the patient had sustained trauma from a firecracker, which led to a chronic wound for which he did not seek medical attention. Physical exam revealed a large open chest wound with an open sternal fracture and exposed pericardium. The patient underwent surgical resection, followed by chest wall reconstruction using a rectus myocutaneous flap. Tissue pathology confirmed squamous cell carcinoma and osteomyelitis of the sternum.
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The case demonstrates the complexity of managing a large chronic chest wound and pathologic sternal fracture secondary to malignancy and osteomyelitis. The key lesson is the importance of early medical evaluation and a multidisciplinary approach to improve outcomes in similar scenarios. The rarity of this case emphasizes the need for heightened awareness among clinicians who may encounter earlier presentations of this disease process in order to prevent complications, such as osteomyelitis, pathological fractures and structural instability of the chest wall.&amp;nbsp;&amp;nbsp;
&amp;nbsp;
&amp;nbsp;</dc:description><dc:subject>open sternal fracture</dc:subject><dc:subject>open chest wound</dc:subject><dc:subject>chest wall malignancy</dc:subject><dc:subject>squamous cell carcinoma</dc:subject><dc:subject>Sternal osteomyelitis</dc:subject><dc:subject>chronic chest wall infection</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3mv231np</dc:identifier><dc:identifier>https://escholarship.org/content/qt3mv231np/qt3mv231np.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52202</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7425245k</identifier><datestamp>2026-07-31T11:09:58Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7425245k</dc:identifier><dc:title>A Case Report of an Atypical Presentation of Fournier’s Gangrene</dc:title><dc:creator>Noori, Elaha</dc:creator><dc:creator>Davis, Konnor</dc:creator><dc:creator>Rigdon, Tyler</dc:creator><dc:creator>Spiegelman, Lindsey</dc:creator><dc:date>2026-01-31</dc:date><dc:description>Fournier’s gangrene is a well-established surgical emergency as patients can decompensate rapidly, resulting in significant morbidity and mortality. We describe a case in which a 54-year-old medically complex male presented to the emergency department (ED) with a primary complaint of abdominal pain after a therapeutic paracentesis was performed by interventional radiology just prior to arrival. Upon further questioning, the patient reported scrotal pain that had developed over three to four days. On exam, the patient was well-appearing although he did have scattered scrotal masses with chalky white purulence. Given the relatively quick development, an atypical presentation of Fournier’s gangrene was suspected, and the patient was started on antibiotics with urology immediately consulted. Imaging was concerning for subcutaneous gas. The patient was subsequently taken to the operating room (OR) for debridement, where Fournier’s gangrene was confirmed by surgical investigation and culture. Significant lessons from the case include the importance of early identification of Fournier’s gangrene and having a low threshold to start treatment in coordination with a surgical service for atypical presentations.</dc:description><dc:subject>Fournier’s gangrene</dc:subject><dc:subject>Bilateral Epididymitis</dc:subject><dc:subject>scrotal pain</dc:subject><dc:subject>Urologic emergency</dc:subject><dc:subject>renal transplant</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7425245k</dc:identifier><dc:identifier>https://escholarship.org/content/qt7425245k/qt7425245k.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52203</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0sw5g3k9</identifier><datestamp>2026-07-31T11:09:54Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0sw5g3k9</dc:identifier><dc:title>Effects of Volume Overload: A Case Report of an Edema Bulla</dc:title><dc:creator>Morris, Jarom</dc:creator><dc:creator>Sommer, Matthew</dc:creator><dc:creator>Braun, Felix</dc:creator><dc:creator>Klapthor, Brent</dc:creator><dc:creator>Beaulieu, Allison</dc:creator><dc:creator>Fix, Megan</dc:creator><dc:date>2026-01-31</dc:date><dc:description>We present a case of a 75-year-old female with a history of congestive heart failure who developed a large edema bulla on her right shin after running out of her home medications. The patient presented with swelling and a rapidly enlarging bulla that reached the size of a grapefruit. Physical examination revealed bilateral pitting edema and a 10 x 10 cm bulla filled with serous fluid. Dermatology was consulted, confirming the diagnosis of edema bulla secondary to acute volume overload. The bulla was drained in the emergency department, and the patient was discharged with wound care instructions, including the application of petroleum jelly and vinegar compresses. Follow-up three months later showed significant healing. This case highlights the importance of recognizing edema bullae in patients and managing the underlying fluid overload. This case report specifically demonstrates that edema bullae can present at sizes larger than the 1-5 cm range described in existing literature.</dc:description><dc:subject>bulla</dc:subject><dc:subject>Vesicle</dc:subject><dc:subject>Dermatology</dc:subject><dc:subject>Blister</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0sw5g3k9</dc:identifier><dc:identifier>https://escholarship.org/content/qt0sw5g3k9/qt0sw5g3k9.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52206</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt86j47321</identifier><datestamp>2026-07-31T11:09:50Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt86j47321</dc:identifier><dc:title>A Case Report of Carotid Cavernous Fistula: A Commonly Missed Diagnosis</dc:title><dc:creator>Ma, Rosalind Wu</dc:creator><dc:creator>Harris, Dustin</dc:creator><dc:date>2026-01-31</dc:date><dc:description>Orbital compartment syndrome (OCS) is an ophthalmologic emergency due to an acute rise in intra-orbital pressure and can result in permanent vision loss, oftentimes requiring emergent surgical decompression. Orbital compartment syndrome most commonly occurs due to recent trauma and is often easily diagnosed by history and physical exam. However, there are other causes of OCS where a more subacute/chronic rise in pressure can lead to an atypical presentation. This is a case report of a 48-year-old male who presented with left eye pain and swelling for the past 6 months. The patient had seen two ophthalmologists prior to his emergency department (ED) presentation who had prescribed him an antibiotic ointment, oral steroids, and steroid eye drops. The physical exam in the ED was concerning for increased intra-ocular pressure (IOP) and decreased vision. Ophthalmology was consulted and requested magnetic resonance angiography (MRA) to assess a vascular etiology given tortuous retinal vasculature. Emergent surgical decompression was deferred due to chronicity of symptoms, and patient was started on dorzolamide/timolol and brimonidine eye drops as well as intravenous (IV) acetazolamide with subsequent improvement in IOP. Imaging revealed a left carotid-cavernous sinus fistula (CCF), and the patient was admitted to neurosurgery. Patient successfully had an embolization with subsequent normalization of IOP and improvement of symptoms. This case is a good example of how non-traumatic causes of OCS can lead to misdiagnosis and how surgical decompression could potentially be deferred in subacute OCS.</dc:description><dc:subject>Ocular compartment syndrome</dc:subject><dc:subject>carotid cavernous fistula</dc:subject><dc:subject>eye pain</dc:subject><dc:subject>eye swelling</dc:subject><dc:subject>vision loss</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/86j47321</dc:identifier><dc:identifier>https://escholarship.org/content/qt86j47321/qt86j47321.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52242</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8fg1s80w</identifier><datestamp>2026-07-31T11:09:44Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8fg1s80w</dc:identifier><dc:title>A Multimodal Approach to Lateral Canthotomy and Cantholysis Training for Emergency Medicine Trainees: A Simulation Training Package</dc:title><dc:creator>Shoaib, Haris</dc:creator><dc:creator>Hussain, Yunus K</dc:creator><dc:creator>Shoaib, Shiza</dc:creator><dc:creator>Hussain, Sulaiman</dc:creator><dc:creator>Chaudhary, Haider A</dc:creator><dc:creator>Ali, Muhammad Subed</dc:creator><dc:creator>Jennings, Cara</dc:creator><dc:creator>Smith, Tara</dc:creator><dc:date>2026-01-31</dc:date><dc:description>Audience:&amp;nbsp;This simulation is intended for emergency medicine residents.
Background:&amp;nbsp;Lateral canthotomy and cantholysis (LCC) is a sight-saving procedure for orbital compartment syndrome (OCS).1&amp;nbsp;Due to the rarity of OCS, emergency-medicine trainees often have limited exposure and low procedural confidence. In a questionnaire we found that trainees have low confidence levels in performing the procedure attributed to the low incidence of OCS and the scarcity of training opportunities. Existing literature describes LCC task trainers with creation of simulation models, but few provide a reproducible multimodal package adaptable for multiple training centres.2,3&amp;nbsp;Our innovation combines presentation, instructional video, gamified quiz, and hands-on practicer with low fidelity models. Unlike previous studies referencing the use of pre-made or cadaveric-based models, this design offers detailed guidance on model assembly using commonly available and low-cost materials.2,3&amp;nbsp;We designed and tested a multimodal training approach to optimize trainee confidence and competence in recognizing OSC and performing the LCC procedure. This aligns with recent calls in medical education for innovative, cost-effective simulation that maintains clear guidance and instructions while overcoming financial and/or logistical barriers.4,5
Educational Objectives:&amp;nbsp;By the end of this session, learners should be able to: 1) recognize the clinical features of OCS, 2) describe the indications and steps of performing LCC, 3) perform a lateral canthotomy and cantholysis procedure on a low-fidelity model, and 4) demonstrate improved confidence in recognizing and managing OCS.
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Educational Methods:&amp;nbsp;The training uses a multimodal structure involving the following resources: 1) Instructor-led presentation on OCS and LCC with a step-by-step guide (Appendix A), 2) gamified quiz (Appendix B), 3) a procedural demonstration video, 4) a procedural handout containing a step-by-step guide (Appendix C), 5) a low-fidelity model of the orbit constructed from inexpensive materials, and 6) hands-on procedural practice with trainer feedback.&amp;nbsp;
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Research Methods:&amp;nbsp;Trainees’ confidence and perceived competence in performing the procedure were assessed using a 10-point Likert scale before and after the training, in addition to collection of qualitative feedback via free-text comments. Trainees also rated all educational components of the course using a 10-point Likert scale. Statistical significance was calculated using paired t-tests.&amp;nbsp;
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Results:&amp;nbsp;A total of thirty-four emergency medicine trainees participated in this multi-national training simulation package across three centers within the UK, completing pre- and post-intervention feedback. We observed a significant improvement in participants’ self-assessed confidence levels when comparing theoretical knowledge (5.0&amp;nbsp;±&amp;nbsp;2.5 to 8.7&amp;nbsp;±&amp;nbsp;1.7; p&amp;nbsp;&amp;lt;&amp;nbsp;0.0001) and procedural competence (4.1&amp;nbsp;±&amp;nbsp;2.8 to 8.9&amp;nbsp;±&amp;nbsp;1.5; p&amp;nbsp;&amp;lt;&amp;nbsp;0.0001). All educational components of the training package were rated highly, with mean scores ranging between 8.7 and 10 (measured on a 10-point Likert scale). All trainees involved supported the idea of annual delivery of the training package to emergency medicine trainees. Qualitative feedback further supported the value of practical simulation.
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Discussion:&amp;nbsp;Given the severe clinical consequences of OCS, there is a need for diagnostic and procedural competence.&amp;nbsp;This training package demonstrated significant improvement in trainees’ confidence and competence for a rare but critical emergency department procedure. The low-fidelity model and simulation package is reproducible, cost-effective, and scalable across training centres.
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&amp;nbsp;</dc:description><dc:subject>Simulation</dc:subject><dc:subject>Cantholysis</dc:subject><dc:subject>Emergency Medicine</dc:subject><dc:subject>Orbital compartment syndrome</dc:subject><dc:subject>lateral canthotomy</dc:subject><dc:subject>Procedural skills</dc:subject><dc:subject>low-fidelity model</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8fg1s80w</dc:identifier><dc:identifier>https://escholarship.org/content/qt8fg1s80w/qt8fg1s80w.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52351</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt55h6110q</identifier><datestamp>2026-07-31T11:09:40Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt55h6110q</dc:identifier><dc:title>Enhancing Emergency Medicine Resident Education: A Weekly Education Series to Augment Electrocardiogram Education</dc:title><dc:creator>West, Tyler</dc:creator><dc:creator>Adam, Jarren</dc:creator><dc:creator>Watkins, Kevin</dc:creator><dc:date>2026-01-31</dc:date><dc:description>Audience and Type of Curriculum:&amp;nbsp;This electrocardiogram (ECG) curriculum was designed for residents of all levels.
Length of Curriculum:&amp;nbsp;The curriculum runs over 1.5 years and is repeated, so that there will be repetition during a resident’s training.
Introduction:&amp;nbsp;Electrocardiogram interpretation is a vital skill for emergency physicians. Formal ECG education in emergency medicine (EM) often consists of a few conference lectures, with the majority of education relegated to the clinical environment. However, this often leaves significant gaps in education, as a full curriculum cannot be implemented within limited conference time.
Educational Goals: The goals of the curriculum were to establish an asynchronous ECG curriculum to help improve standardization of EM resident education, expose EM residents to a more comprehensive ECG curriculum, increase active learning in this arena, and decrease the administrative burden while not dedicating further conference time towards ECG education.&amp;nbsp;
Educational Methods:&amp;nbsp;The educational strategies used in this curriculum include weekly case emails with instructional content located on a Google Site. These were added to conference lectures that were standard ECG education prior to this initiative. The first year of the augmented curriculum added only the weekly ECG emails with a follow-up answer email, and the website was created for the second year of curriculum implementation.&amp;nbsp;
Research Methods:&amp;nbsp;The educational content was assessed by the learners via a survey to gauge resident satisfaction as well as level of engagement and barriers to use. Additionally, the content was assessed via resident testing at the end of their second year so that they had completed a complete cycle of the curriculum.
Results:&amp;nbsp;The asynchronous curriculum improved resident test scores with the addition of the weekly emails from an average of 70% and pass rate of 58% to 82% and 92%, respectively (p=0.012). The addition of the informational website did not further improve scores, though it decreased variation in scores. The residents found the curriculum useful for their education.
Discussion:&amp;nbsp;Curriculum implementation was successful to improve on resident ECG education, both in terms of objective testing as well as resident feedback. It is a sustainable curriculum with methodology that requires little faculty time after setup; the maintenance required for the curriculum mostly consists of updating resident contacts as classes graduate. However, the setup time was significant; despite this, the authors believe this is a time-effective method of educational programming given the little ongoing time requirements.
Topics:&amp;nbsp;Electrocardiogram, curriculum development.
&amp;nbsp;</dc:description><dc:subject>electrocardiogram</dc:subject><dc:subject>curriculum development</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/55h6110q</dc:identifier><dc:identifier>https://escholarship.org/content/qt55h6110q/qt55h6110q.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52141</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5sx7440s</identifier><datestamp>2026-07-31T11:09:34Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5sx7440s</dc:identifier><dc:title>Pediatric Difficult Airway Simulation Day</dc:title><dc:creator>Chen, Sarah</dc:creator><dc:creator>Athale, Abha</dc:creator><dc:creator>Runkle, Anne</dc:creator><dc:date>2026-01-31</dc:date><dc:description>Audience:&amp;nbsp;This small-group simulation workshop is designed for pediatric emergency medicine fellows but can also be offered to emergency medicine residents or faculty.
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Introduction:&amp;nbsp;Pediatric intubation is a high-acuity, low-frequency event. Specific patient scenarios that may lead to a difficult pediatric airway, such as airway edema, airway contamination (hemorrhage, emesis), prematurity, obesity, shock, and inhalational injuries, compound an already challenging and emergent situation. Previous studies have investigated simulation-based airway education for emergency medicine (EM), anesthesia, and critical care trainees. To our knowledge, there has been no study reporting the development and outcomes of a difficult airway course for pediatric emergency medicine (PEM) fellows covering emergency department (ED)-specific pediatric difficult airway content.&amp;nbsp;
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Educational Objectives: The objective of this one-day simulation workshop is to increase learner confidence and skills necessary to perform critical pediatric airway procedures. PEM fellows of all training levels at our institution completed a three-hour “PEM Difficult Airway Day,” which consisted of six 30-minute stations focusing on airway scenarios critical for PEM fellow training: five high- and low-fidelity simulations (premature neonate, inhalational injury, contaminated airway, obese patient, and failed airway) and one discussion-based station on the physiologically difficult intubation. By the end of this workshop, learners will be able to: 1) identify various clinical situations in which a pediatric patient may have a difficult airway, 2) successfully intubate mannequins with simulated difficult airways using direct laryngoscopy (DL), video laryngoscopy (VL), laryngeal mask airway (LMA) placement, bougie-assisted intubation, and a hyper-angulated VL blade, and 3) recognize and describe the management of physiologically difficult airways and failed airways.&amp;nbsp;
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Educational Methods:&amp;nbsp;Small group activity combining procedural high- and low-fidelity simulations, as well as case-based learning.
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Research Methods:&amp;nbsp;The PEM fellows completed pre- and post-workshop surveys to assess their airway knowledge and confidence regarding intubation using DL, VL, LMA placement, bougie-assisted intubation, intubation using a hyper-angulated VL blade, managing the anatomically difficult airway, managing the physiologically difficult airway, and managing the failed airway. In addition, learners were asked to identify any areas with continued knowledge gaps and low procedural confidence that they wished to be addressed in a future “PEM Difficult Airway Day.”&amp;nbsp;
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Results:&amp;nbsp;Our findings suggest that the “PEM Difficult Airway Day” significantly improved PEM fellow knowledge and confidence in infrequently performed critical pediatric EM scenarios, such as bougie-assisted intubation and use of a hyper-angulated VL blade, and knowledge of options and techniques for managing the anatomically difficult, physiologically difficult, and failed airway. There was no statistically significant improvement in confidence in DL and VL intubation and LMA placement. Additionally, fellows identified management of airway foreign bodies as an area with a continued knowledge gap and low procedural confidence.
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Discussion:&amp;nbsp;A workshop dedicated to increasing the confidence and procedural skills necessary to perform critical airway procedures can be successfully offered to PEM fellows as a single-day, focused, small-group simulation workshop.&amp;nbsp;
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Topics:&amp;nbsp;Pediatric airway simulation, pediatric difficult airway, pediatric emergency medicine, simulation curriculum, medical education, workshop.</dc:description><dc:subject>Pediatric airway simulation</dc:subject><dc:subject>pediatric difficult airway</dc:subject><dc:subject>pediatric emergency medicine</dc:subject><dc:subject>simulation curriculum</dc:subject><dc:subject>Medical Education</dc:subject><dc:subject>workshop</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5sx7440s</dc:identifier><dc:identifier>https://escholarship.org/content/qt5sx7440s/qt5sx7440s.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52208</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4d847616</identifier><datestamp>2026-07-31T11:09:30Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4d847616</dc:identifier><dc:title>Cards Against Pulmonology</dc:title><dc:creator>Lamparter, Lauren</dc:creator><dc:creator>Wray, Alisa</dc:creator><dc:date>2026-01-31</dc:date><dc:description>Audience:&amp;nbsp;This card game is designed to cultivate educational discussion among emergency medicine resident physicians about the assessment, treatment, and disposition of key pediatric and adult&amp;nbsp;thoracic-respiratory&amp;nbsp;diagnoses in a fun, casual environment. It&amp;nbsp;could also be played by emergency medicine-bound medical students.
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Introduction:&amp;nbsp;Emergency department visits related to the thoracic-respiratory system are common complaints in both the pediatric and adult populations. In the United States, for several years prior to the Covid-19 pandemic, respiratory system diseases accounted for about 10.6% of ED visits.1&amp;nbsp;In children, respiratory complaints make up the largest percentage of their ED visits, particularly in the fall and winter seasons.2&amp;nbsp;This number appears to have only grown higher in both adults and pediatrics in the years following the Covid-19 pandemic.3&amp;nbsp;Thoracic-respiratory disorders also account for about 7% of the American Board of Emergency Medicine In-Training Exam&amp;nbsp;&amp;nbsp;and qualifying exam content.4&amp;nbsp;Therefore, it is paramount that resident physicians understand the presentation, management, and treatment of a wide range of both pediatric and adult thoracic-respiratory complaints&amp;nbsp;and&amp;nbsp;pathology&amp;nbsp;that mimics these presentations. This game explores key topics in the&amp;nbsp;thoracic-respiratory system&amp;nbsp;in both the pediatric and adult populations allowing for fun discussion regarding management, treatment, and disposition of these complicated disease processes. Topics range from sick to not sick patients and include bronchiolitis, pulmonary edema, pulmonary embolism, COPD exacerbation, neonatal cyanosis, viral upper respiratory infections, and more.&amp;nbsp;&amp;nbsp;
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Educational Objectives:&amp;nbsp;
By the end of this card game, learners will 1) understand the methods of clinical assessment in&amp;nbsp;thoracic-respiratory related&amp;nbsp;diseases, 2) implement escalating levels of respiratory support for&amp;nbsp;thoracic-respiratory&amp;nbsp;pathology in pediatric and adult patients, 3) review and utilize important medications in the management of&amp;nbsp;thoracic-respiratory&amp;nbsp;diseases, and 4) choose appropriate dispositions of patients with various&amp;nbsp;thoracic-respiratory related&amp;nbsp;complaints.&amp;nbsp;
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Educational Methods:&amp;nbsp;The goal of Cards Against Pulmonology is for learners to further understand the clinical assessment, management, and disposition of various&amp;nbsp;thoracic-respiratory&amp;nbsp;emergencies by providing the next best critical action in a given clinical situation.&amp;nbsp;This game will equip residents to differentiate the sick from&amp;nbsp;non-sick&amp;nbsp;patients and collaboratively discuss the management and disposition of patients with a variety of&amp;nbsp;thoracic-respiratory related&amp;nbsp;complaints.
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This card game is a cognitive artifact designed to stimulate small group discussion that will enhance&amp;nbsp;the&amp;nbsp;clinical reasoning skills of the medical students&amp;nbsp;and&amp;nbsp;resident physicians who play the game. The clinical content of&amp;nbsp;thoracic-respiratoryconditions has&amp;nbsp;been gamified&amp;nbsp;through the&amp;nbsp;strategy of play modeled after the popular card game, Cards Against Humanity. Discussion of key educational points during and after the game provides clarification of learner knowledge to solidify concepts.&amp;nbsp;
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Research Methods:&amp;nbsp;The game was implemented&amp;nbsp;in a weekly&amp;nbsp;resident educational conference&amp;nbsp;session where&amp;nbsp;19 resident physicians and several faculty physicians participated in gameplay and immediately following the game, evaluated the educational experience by survey using a Likert scale. They assessed their overall experience with the game, engagement with the game, the game’s ability to reinforce existing medical knowledge, and if game content was relevant to their clinical practice.&amp;nbsp;
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Results:&amp;nbsp;The results were overwhelmingly positive with an average of strongly&amp;nbsp;agreed&amp;nbsp;on every Likert scale in every category and a request for the creation of other similar games covering more topics. Resident physicians stated they appreciated being able to laugh and learn, and that the inclusion of case discussion after a case concluded really emphasized the educational points regarding the medical care of patients with respiratory complaints. They encouraged increased discussion of the medicine after each round.&amp;nbsp;
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Discussion:&amp;nbsp;Overall, this game was very effective in stimulating conversation regarding the care of patients with&amp;nbsp;thoracic-respiratory related&amp;nbsp;complaints. All medical students, residents, and attending physicians&amp;nbsp;were very engaged and remained excited throughout gameplay. Implementation of the game&amp;nbsp;showed&amp;nbsp;the appropriate small group size is about five to six players to allow for robust discussion and engagement. It is also important for the facilitators to discuss expected outcomes for the patient at the conclusion of a set of case cards to encourage educational value alongside humorous game play.&amp;nbsp;
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Topics:&amp;nbsp;Pulmonology,&amp;nbsp;thoracic-respiratory system,&amp;nbsp;shortness of breath, cough, viral respiratory&amp;nbsp;infection, bronchiolitis, asthma, COPD, pulmonary edema, pediatric respiratory conditions.
&amp;nbsp;</dc:description><dc:subject>Pulmonology</dc:subject><dc:subject>thoracic-respiratory system</dc:subject><dc:subject>shortness of breath</dc:subject><dc:subject>Cough</dc:subject><dc:subject>viral respiratory infection</dc:subject><dc:subject>Bronchiolitis</dc:subject><dc:subject>asthma</dc:subject><dc:subject>COPD</dc:subject><dc:subject>pulmonary edema</dc:subject><dc:subject>pediatric respiratory conditions.</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4d847616</dc:identifier><dc:identifier>https://escholarship.org/content/qt4d847616/qt4d847616.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52358</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5zb9155n</identifier><datestamp>2026-07-31T11:09:26Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5zb9155n</dc:identifier><dc:title>Pre-Clinical Case Competition to Assess Confidence in Responding to Select Out-Of-Hospital Medical Emergencies</dc:title><dc:creator>Fillmore, Harrison</dc:creator><dc:creator>Heisler, Thomas</dc:creator><dc:creator>Nadeau, Marissa</dc:creator><dc:creator>Worley, Emmagene</dc:creator><dc:creator>Titone, Lauren M.</dc:creator><dc:creator>Murano, Tiffany</dc:creator><dc:creator>Truong, Jimmy</dc:creator><dc:date>2026-01-31</dc:date><dc:description>Audience:&amp;nbsp;This session is intended for first- and second-year medical students, or any pre-clinical medical students.
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Introduction:&amp;nbsp;Preclinical learners build skills and confidence when they practice first responder tasks early in training, and simulation helps them to perform basic procedures better.1,2&amp;nbsp;A small group case competition uses a game format to reinforce rapid assessment, clear team roles, and closed-loop communication.3,4
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Out-of-hospital cardiac arrest affects hundreds of thousands of people in the United States each year, and survival to discharge is low. Bystander cardiopulmonary resuscitation (CPR) and early use of an automated external defibrillator (AED) improve outcomes.5,6&amp;nbsp;Anaphylaxis is a time-sensitive emergency seen in the community and in the emergency department (ED). Epinephrine is the first-line treatment, and delay to administration worsens outcomes.7,8&amp;nbsp;Opioid overdose remains a major cause of preventable death. Early recognition, respiratory support, and Naloxone administration are key steps.9&amp;nbsp;
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Educational Objectives: By the end of this activity, learners will be able to: 1) demonstrate the application of skills in real-life first responder scenarios, including suspected opioid overdose, cardiac arrest, and anaphylaxis; 2) apply knowledge of scene safety and the role of the first responder in various situations; and 3) assess the challenges while applying the skills necessary for collaborative work within a medical team.
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Educational Methods:&amp;nbsp;A competition combining simulation-based and team-based learning reinforced first responder skills among first- and second-year medical students. Attending physicians evaluated simulated out-of-hospital emergency scenarios using a detailed rubric.&amp;nbsp;This&amp;nbsp;method was chosen to engage learners in a lower-stakes (but still simulated high-pressure) assessment of their skills where undifferentiated patients challenge recall and application in new, previously unknown scenarios.
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This format was chosen to keep preclinical students active and focused while they practice time-critical first responder skills. Simulation allows decision-making, hands-on actions, and immediate feedback in a safe setting. Team-based learning mirrors ED teamwork by assigning clear roles, prompting closed-loop communication, and requiring shared problem-solving. Station design supports repeated practice and brief debriefs, which builds retention and confidence for early learners. Faculty-scored rubrics provide observable, standardized performance measures and make feedback specific and actionable.&amp;nbsp;
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Research Methods:&amp;nbsp;Pre- and post-intervention surveys assessed the effectiveness of the case competition featuring three simulation scenarios in improving students' confidence in managing emergency situations.
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Results:&amp;nbsp;The competition increased participants' confidence in responding to various scenarios, particularly opioid overdoses. Most participants expressed high likelihood&amp;nbsp;of participating&amp;nbsp;in future competitions.&amp;nbsp;Ten preclinical students completed pre- and post-session surveys. Confidence increased across the cohort. For the opioid overdose scenario, “complete confidence” rose from 1/10 (10%) pre- to 6/10 (60%) post. Confidence in cardiac arrest and anaphylaxis also trended upward. Likelihood to respond to a public emergency changed minimally. Interest in future events was high, with 6/10 (60%) extremely likely and 4/10 (40%) somewhat likely to participate again.&amp;nbsp;
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Discussion:&amp;nbsp;The competition successfully increased confidence and fostered collaboration but faced recruitment challenges due to its optional nature and scheduling. Future implementations could include more advanced&amp;nbsp;learners.
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&amp;nbsp;</dc:description><dc:subject>First Aid</dc:subject><dc:subject>first responder</dc:subject><dc:subject>Competition</dc:subject><dc:subject>pre-clinical</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5zb9155n</dc:identifier><dc:identifier>https://escholarship.org/content/qt5zb9155n/qt5zb9155n.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52198</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6h14n4ts</identifier><datestamp>2026-07-31T11:09:21Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6h14n4ts</dc:identifier><dc:title>Development and Design of a Pediatric Case-Based Virtual Escape Room on Acute Iron Toxicity</dc:title><dc:creator>Boggs, Kaitlyn</dc:creator><dc:creator>Madhok, Manu</dc:creator><dc:creator>Ahluwalia, Tania</dc:creator><dc:date>2026-01-31</dc:date><dc:description>Audience:&amp;nbsp;This virtual escape room (VER) serves as a didactic activity tailored for learners specializing in emergency medicine, pediatrics, and family medicine across all postgraduate years. The VER can be undertaken collaboratively in teams or individually, leveraging virtual platforms and adaptable to various educational settings.
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Introduction:&amp;nbsp;Iron tablets appeal to children due to their vibrant color and sugar coating, resembling candy. Nearly 11,000 cases of iron exposure in children under six are reported annually in the US.1&amp;nbsp;More severe incidents involve prenatal vitamins and iron preparations containing ferrous sulfate, which has a significantly higher concentration of elemental iron per tablet than other formulations.2&amp;nbsp;Virtual escape rooms (VERs) are an innovative educational tool for teaching about acute iron toxicity. By integrating gamification into medical education, VERs offer a unique approach asparticipants can join remotely and interact with a team of other learners in geographically distinct locations.
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Educational Objectives:
By the end of the activity, learners should be able to: 1) recognize the history&amp;nbsp;and&amp;nbsp;clinical presentation&amp;nbsp;of acute iron toxicity; 2) demonstrate knowledge of the necessary workup in suspected iron toxicity; 3) identify the stages of acute iron toxicity; 4) identify management of iron toxicity and its complications; 5) perform appropriate management in the setting of decompensated hemorrhagic shock and hypovolemia; and 6) demonstrate teamwork through communication and collaboration.
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Educational Methods:&amp;nbsp;The development process encompassed a seven-step approach: creating a scenario, defining learning objectives, and designing a suitable room.3&amp;nbsp;Clues and puzzles aligned with the specified learning objectives. The VER was hosted on Articulate 360 (Articulate Global Inc.) and complemented by a facilitator guide that provided content and technical support.
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Research Methods:&amp;nbsp;To replicate this activity, a team of facilitators should be present to organize the participants into small groups and distribute the VER link. During our implementation, this link was shared in real-time on&amp;nbsp;Zoom Video Communications Inc. (Zoom),&amp;nbsp;leveraging breakout rooms to assign participants to their respective rooms. Additionally, we conducted this in person with faculty and nursing, where participants were divided into groups accordingly.&amp;nbsp;There was a structured format: pre-briefing, a timed escape room scenario, debriefing, and evaluation. Afterward,&amp;nbsp;learners evaluated the VER and educational content with a survey hosted on Google Docs (Google LLC).&amp;nbsp;
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Results:&amp;nbsp;A total of 55 respondents completed post-evaluation surveys. Despite limited experience with previous virtual escape rooms, both trainees and faculty agreed the design was easy to follow (78.2%), fostered teamwork (90.9%), and was a feasible method of education (85.5%).&amp;nbsp;
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Discussion:&amp;nbsp;This activity was successfully implemented with trainees, faculty, and nursing professionals, demonstrating the ability of VER to be utilized in a wide variety of applications. We also successfully implemented this format in both in-person and online platforms.&amp;nbsp;Limitations of this include a need for long-term outcome data. Future studies could further assess knowledge improvement and clinical management of acute iron toxicity.&amp;nbsp;
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Topics:&amp;nbsp;Acute iron toxicity,&amp;nbsp;emergency medicine,&amp;nbsp;escape room, ingestion, gamification, pediatrics, toxicology, virtual escape rooms.
&amp;nbsp;</dc:description><dc:subject>Acute iron toxicity</dc:subject><dc:subject>Emergency Medicine</dc:subject><dc:subject>Escape Room</dc:subject><dc:subject>ingestion</dc:subject><dc:subject>Gamification</dc:subject><dc:subject>pediatrics</dc:subject><dc:subject>toxicology</dc:subject><dc:subject>virtual escape rooms</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6h14n4ts</dc:identifier><dc:identifier>https://escholarship.org/content/qt6h14n4ts/qt6h14n4ts.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52192</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0tj2h2n7</identifier><datestamp>2026-07-31T11:09:17Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0tj2h2n7</dc:identifier><dc:title>Clinical Decision-Making Case: Febrile Infant</dc:title><dc:creator>Maupin, Carrie</dc:creator><dc:creator>Anand, Ambika</dc:creator><dc:creator>Hickam, Grace</dc:creator><dc:creator>Nesbit, Danielle</dc:creator><dc:date>2026-01-31</dc:date><dc:description>Audience:&amp;nbsp;This clinical decision-making (CDM) case is intended for emergency medicine residents of all levels, medical students, and fellows preparing for standardized oral board exams.
Introduction:&amp;nbsp;Fever in a neonate (infant &amp;lt;28 days old) is a medical emergency due to the high risk of serious bacterial infections (SBIs) like meningitis, sepsis, or urinary tract infections (UTIs).1-3&amp;nbsp;Compared with older infants and children, neonates have immature immune responses, reduced ability to localize infection, and limited physiologic reserve, which contribute to rapid clinical deterioration and increased morbidity and mortality when invasive infection is present.1,3
Importantly, clinical presentation in this age group is often subtle and nonspecific. Neonates with life-threatening infections may appear well or only mildly ill on initial examination, with symptoms such as poor feeding, irritability, or decreased urine output serving as early but easily overlooked warning signs.¹,4&amp;nbsp;As a result, reliance on appearance or focal examination findings alone is insufficient to safely exclude SBI in febrile neonates.
Current evidence supports a standardized approach to the evaluation of neonatal fever. This includes a complete sepsis workup—consisting of blood, urine, and cerebrospinal fluid studies—along with early administration of empiric, age-appropriate intravenous antibiotics and hospital admission for close monitoring.¹-³
This clinical decision-making case is designed to reinforce these foundational principles within the context of an emergency department presentation. It emphasizes early recognition of neonatal fever as a high-risk condition, systematic diagnostic reasoning, timely initiation of empiric therapy, and appropriate disposition to a higher level of care. Learners are challenged to clearly articulate their clinical reasoning and management decisions in a high-stakes environment that mirrors real-world emergency medicine practice.
Educational Objectives:&amp;nbsp;By the end of this CDM case, learners will be able to: 1) demonstrate familiarity with the CDM case format, 2) recognize the critical importance of fever in a neonate and initiate a thorough evaluation, 3) develop an appropriate differential diagnosis and understand the workup for febrile neonates, 4) identify and justify the appropriate diagnostic studies and interpret their findings in the context of a neonate with fever, 5) justify a treatment plan and understand the critical disposition of a neonate with fever.
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Educational Methods:&amp;nbsp;The case will be presented as a CDM case with questions posed by the examiner. Learners will be asked to list the history, physical exam findings, differential diagnosis, diagnostic studies, treatments, and final diagnosis in response to the examiner’s prompts.
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Research Methods:&amp;nbsp;Learners' performance will be evaluated using standardized oral board scoring guidelines. Efficacy will be assessed through feedback from both learners and faculty, focusing on knowledge acquisition and application in a high-stakes environment. Pre- and post-case surveys or performance scoring may be used for evaluation.
&amp;nbsp;
Results:&amp;nbsp;Preliminary assessments from learners demonstrated improved confidence in managing febrile neonates after completing the case, with a focus on early recognition and appropriate escalation of care.
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Discussion:&amp;nbsp;Neonatal fever is a high-risk scenario requiring prompt, appropriate management. This case reinforced the importance of early sepsis recognition, comprehensive evaluation, and timely treatment. Learners benefited from exposure to the CDM Case format aiding in their exam preparation.
&amp;nbsp;</dc:description><dc:subject>Neonatal fever</dc:subject><dc:subject>sepsis</dc:subject><dc:subject>meningitis</dc:subject><dc:subject>pediatric emergency medicine</dc:subject><dc:subject>Antibiotic management</dc:subject><dc:subject>Certifying Exam</dc:subject><dc:subject>Clinical Decision-Making Case</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0tj2h2n7</dc:identifier><dc:identifier>https://escholarship.org/content/qt0tj2h2n7/qt0tj2h2n7.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52290</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3t3276w7</identifier><datestamp>2026-07-31T11:09:13Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3t3276w7</dc:identifier><dc:title>Caught in the Whirl: A Case Report of Midgut Volvulus in an Elderly Patient</dc:title><dc:creator>Khurana, Surina</dc:creator><dc:creator>Lu, Tien</dc:creator><dc:creator>Dangberg, Carson</dc:creator><dc:creator>Lewis, Kristin</dc:creator><dc:date>2026-07-31</dc:date><dc:description>Midgut volvulus is a rare finding in adults, especially those without a known history of congenital gastrointestinal abnormalities. This is a case of a 78-year-old man who presented to the Emergency Department (ED) with two weeks of intermittent, postprandial abdominal bloating and pain. His examination was notable for tachycardia and mild abdominal distention. On computed tomography angiography (CTA), he was found to have midgut volvulus and underwent emergent exploratory laparotomy with Emergency General Surgery (EGS) where his bowel was found to be twisted clockwise around the mesentery. This case report highlights the diagnosis and treatment of a patient with the relatively uncommon diagnosis of midgut volvulus. In this report, we describe the patient’s presentation, important imaging findings, and key management principles for midgut volvulus.&amp;nbsp;
</dc:description><dc:subject>Volvulus</dc:subject><dc:subject>midgut volvulus</dc:subject><dc:subject>abdominal pain</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3t3276w7</dc:identifier><dc:identifier>https://escholarship.org/content/qt3t3276w7/qt3t3276w7.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52361</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt72j3k9rs</identifier><datestamp>2026-07-31T11:09:10Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt72j3k9rs</dc:identifier><dc:title>A Case Report of Granulomatosis with Polyangiitis Presenting with Chronic Conjunctivitis</dc:title><dc:creator>Martin, Daniel</dc:creator><dc:date>2026-07-31</dc:date><dc:description>An adult female presents for chronic eye complaints refractory to outpatient ophthalmology management, as well as purpuric rash, Reynaud’s symptoms, and reported nodules. She received ophthalmology and rheumatology consultations while in the emergency department (ED) and was subsequently admitted. Expedited rheumatologic workup revealed evidence of granulomatosis with polyangiitis, a rare and potentially debilitating autoimmune vasculitis. She was ultimately discharged after an eight-day hospital course on a long prednisone taper with plan for outpatient management and transition to long-term therapy. This report documents a case warranting high clinical suspicion for an undiagnosed condition in a patient with demonstrably poor access to longitudinal care and the subsequent, in-hospital diagnosis of a rare disease facilitated by ED clinician action.
</dc:description><dc:subject>Granulomatosis with polyangiitis</dc:subject><dc:subject>Vasculitis</dc:subject><dc:subject>autoimmune</dc:subject><dc:subject>ophthalmology</dc:subject><dc:subject>rash</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/72j3k9rs</dc:identifier><dc:identifier>https://escholarship.org/content/qt72j3k9rs/qt72j3k9rs.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52284</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7156c0pv</identifier><datestamp>2026-07-31T11:09:06Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7156c0pv</dc:identifier><dc:title>A Lines below the Diaphragm – A Case Report of Occult Pneumoperitoneum</dc:title><dc:creator>Lee, Yonghoon</dc:creator><dc:creator>Dalley, Michael</dc:creator><dc:date>2026-07-31</dc:date><dc:description>This case report highlights the rapid and sensitive diagnostic capabilities of a right upper quadrant (RUQ) ultrasound to diagnose pneumoperitoneum secondary to a hollow viscus rupture. The patient was a 55-year-old male with sudden onset epigastric and right upper quadrant pain. Symptoms were concerning for either acute cholecystitis and gastric ulcer or perforation. Immediate point of care ultrasound (POCUS) of the RUQ showed no signs of acute cholecystitis but showed concerning findings of intraabdominal free air given the enhanced peritoneal stripe sign, reverberation, and ring down artifacts. The radiologist did not note any signs of free air on the interpretation of the formal ultrasound. Eventually, the chest X-ray and computed tomography (CT) of the abdomen and pelvis showed air under the right diaphragm, fluid in the porta hepatis, and multiple foci of pneumoperitoneum. Broad spectrum antibiotics and fluid resuscitation were given. General surgery performed an emergency diagnostic laparotomy with repair of duodenal ulcer perforation. Upper gastrointestinal (GI) study on post-operative day three showed no complications, and patient has been doing well in follow-up clinic visits. In this case report, immediate recognition of signs of pneumoperitoneum would have expedited the treatment and management of the duodenal perforation. Although our emergency department was able to perform a CT scan of the abdomen and pelvis and have it read within two hours, this may not be possible in all emergency departments. Therefore, the use of POCUS in the evaluation of abdominal pain can identify potentially disastrous time-dependent pathology. It would be beneficial for emergency physicians to learn the signs of pneumoperitoneum on ultrasound since this requires emergent surgery.
</dc:description><dc:subject>Hollow viscus perforation</dc:subject><dc:subject>ultrasound</dc:subject><dc:subject>pneumoperitoneum</dc:subject><dc:subject>point-of-care ultrasound (POCUS)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7156c0pv</dc:identifier><dc:identifier>https://escholarship.org/content/qt7156c0pv/qt7156c0pv.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52389</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7h7028v9</identifier><datestamp>2026-07-31T11:09:03Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7h7028v9</dc:identifier><dc:title>Blunt Cerebrovascular Injury: A Visual Case Report with Computed Tomography Angiography Findings Revealing Carotid and Vertebral Artery Dissection</dc:title><dc:creator>Hsu, Edmund</dc:creator><dc:creator>Kinoshita, Andrew Takahiro</dc:creator><dc:creator>Chu, Eleanor</dc:creator><dc:creator>McCoy, Christopher Eric</dc:creator><dc:date>2026-07-31</dc:date><dc:description>Blunt cerebrovascular injury (BCVI) is defined as blunt traumatic injury to the carotid or vertebral vessels. Although rare, understanding risk factors and management of possible complications is vital in the emergency department (ED) setting since BCVI is associated with ischemic stroke and potential for poor neurologic outcome or death. In this case, a 27-year-old female patient presented with headache following a motor vehicle collision. Computed tomography angiography (CTA) of the neck revealed a right internal carotid artery dissection. Despite the injury, the patient was largely asymptomatic besides headache and discharged on acetylsalicylic acid (ASA) 81 mg to prevent stroke. Follow-up CTA one week later revealed worsening of the carotid dissection and a new vertebral artery dissection. The patient was admitted and received a diagnostic cerebral angiogram that elucidated the extent of her vascular injuries. The patient was discharged on ASA 325 mg and was followed for 27 months with no further neurological symptoms. Blunt cerebrovascular injury is a potentially life-threatening, yet often underrecognized, injury that occurs in the carotid or vertebral arteries. It is most often associated with high-energy trauma. Up to 80% of patients with BCVI are initially asymptomatic, and effective screening is important for timely diagnosis. Computed tomography angiography is the preferred choice for initial screening and diagnosis of BCVI. Treatment&amp;nbsp;may involve surgical repair, endovascular intervention, and antithrombotic therapy.
</dc:description><dc:subject>Blunt cerebrovascular injury (BCVI)</dc:subject><dc:subject>Carotid Artery Dissection</dc:subject><dc:subject>vertebral artery dissection</dc:subject><dc:subject>Computed tomography angiography (CTA)</dc:subject><dc:subject>case report</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7h7028v9</dc:identifier><dc:identifier>https://escholarship.org/content/qt7h7028v9/qt7h7028v9.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52229</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt79j953js</identifier><datestamp>2026-07-31T11:08:42Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt79j953js</dc:identifier><dc:title>A Case Report of Rare Bilateral Quadriceps Tendon Rupture Diagnosed by Point of Care Ultrasound (POCUS)</dc:title><dc:creator>Hines, Joel</dc:creator><dc:creator>Blanton, Christopher</dc:creator><dc:creator>Jones, Jodi</dc:creator><dc:creator>Mehta, Prayag</dc:creator><dc:date>2026-07-31</dc:date><dc:description>A 49-year-old male presented to the emergency department (ED) with bilateral knee pain that began after a mechanical fall down several steps.&amp;nbsp; He states that he fell in such a way that both knees were flexed while he was in the air, which he described as a “flying prayer” position, and he landed with all his weight onto his flexed knees. He did not immediately seek medical care but instead wore knee braces and used crutches to ambulate. This resulted in multiple other falls due to persistent pain and lack of mobility. He was seen at an outside facility prior to presenting to our ED and was reportedly diagnosed with severe arthritis based on x-ray imaging and told he may have a minor quadriceps tendon injury. No other imaging was performed at that time. Due to continued pain, he presented to our ED where we utilized point-of-care ultrasound (POCUS) which revealed the presence of bilateral full-thickness quadricep muscle and tendon tears. He was treated with surgical repair of his quadriceps tendons and had an uncomplicated postoperative course. This case report highlights the importance of ultrasound in diagnosing musculoskeletal injuries and improving patient outcomes. We also summarize POCUS findings that emergency physicians can use to diagnose quadriceps muscle and tendon tears.
</dc:description><dc:subject>POCUS</dc:subject><dc:subject>musculoskeletal ultrasound</dc:subject><dc:subject>quadriceps tendon rupture</dc:subject><dc:subject>knee pain</dc:subject><dc:subject>fall</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/79j953js</dc:identifier><dc:identifier>https://escholarship.org/content/qt79j953js/qt79j953js.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52334</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt85f3w3xz</identifier><datestamp>2026-07-31T11:08:02Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt85f3w3xz</dc:identifier><dc:title>A Case Report of a Coin Stack Masquerading as a Button Battery</dc:title><dc:creator>Ware, Peyton Jacobsen</dc:creator><dc:creator>Ware, Carter</dc:creator><dc:creator>Bjornstad, Amanda</dc:creator><dc:creator>Kuntz, Heather</dc:creator><dc:creator>Young, Tim</dc:creator><dc:date>2026-07-31</dc:date><dc:description>Children presenting to emergency departments who are found to have flat, round esophageal foreign bodies (FB) are often transferred to sites capable of foreign body removal. Coins are the most common FBs ingested in pediatric patients. However, button battery (BB) ingestions are a high-risk esophageal FB that can lead to severe injury. It is imperative to distinguish between these two radiographically similar objects to ensure expedited removal of BBs. The halo sign and step-off sign are characteristic of BBs. The presented case demonstrates an exception, where a coin stack (CS) mimicked a BB. A six-year-old female arrived at a tertiary care center as a transfer from an outside hospital with concern for BB ingestion. Her presenting symptoms were vomiting, gagging, and drooling. Her chest x-ray showed a radio-opaque, esophageal FB with halo and step-off signs. The circular FB was urgently removed and proved to be a nickel overlying a quarter. Due to the relative rarity of CSs and the difficulty to radiologically distinguish from high-risk BBs, CSs should be treated as BB ingestions—the FB should be removed urgently, and the final object identification should be determined operatively.</dc:description><dc:subject>Button Battery</dc:subject><dc:subject>halo sign</dc:subject><dc:subject>step-off sign</dc:subject><dc:subject>coin stack</dc:subject><dc:subject>esophageal foreign body</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/85f3w3xz</dc:identifier><dc:identifier>https://escholarship.org/content/qt85f3w3xz/qt85f3w3xz.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.53886</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt43m5g3nm</identifier><datestamp>2026-07-31T11:08:00Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt43m5g3nm</dc:identifier><dc:title>PRIMER: Premedical Introduction to Mentored Emergency Research: Connecting Undergraduate Assistants and Emergency Medicine Residents in a Community Hospital Setting</dc:title><dc:creator>Parks, M. Kaitlin</dc:creator><dc:creator>Cupps, Justin L</dc:creator><dc:creator>Meador, Jessica</dc:creator><dc:creator>Kashef, Melody</dc:creator><dc:creator>Kirsch, Danielle R</dc:creator><dc:creator>Settle, Sonja</dc:creator><dc:date>2026-07-29</dc:date><dc:description>ABSTRACT:
Audience and type of curriculum:&amp;nbsp;This curriculum is designed to prime pre-medical-field undergraduate students with medical research concepts and skills necessary to assist Emergency Medicine (EM) residents on clinical research projects in a community hospital setting.
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Length of curriculum:&amp;nbsp;The PRIMER lecture series should run two to three days with six hours of lecture content to be covered. Project completion and poster presentation should take 8-16 weeks depending on time constraints, resources, and project scope.
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Introduction:&amp;nbsp;Scholarly research has taken an increasingly prominent role in both undergraduate and graduate medical education. However, researchers and clinician-teachers can be limited in productivity due to lack of funding, time, and formalized infrastructure. This can result in siloed activities, incomplete or unrealized ideas, and often make research challenging for student and resident physicians alike.1&amp;nbsp;These barriers to participating in scholarly research are further exacerbated for those in community-hospital-based residencies and community- or rural-medicine educational tracks because these facilities have further reduced access to research personnel and resources.2, 3Simultaneously, research literacy and experience are becoming increasingly critical qualifications for admission to professional medical educational programs.4,5&amp;nbsp;Developing structured research training and mentorship for premedical students in community hospital settings can simultaneously enhance residents' research capacity and provide premedical students with critical experience and exposure needed for medical school admission.
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Educational Goals: The purpose of this project is to design a didactic training to provide undergraduate research assistants the necessary training to enhance resident research projects in the emergency department.
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Educational Methods:&amp;nbsp;The educational strategies used in this curriculum include: 1) Blended learning of in-person lectures and online readings and resources implemented in a three-day workshop to provide foundational research knowledge, skills, and resources to research assistants before beginning projects, 2) Experiential learning implemented in workshops interspersed through the three-day intensive, allowing students to begin literature searches, compose IRB proposals, and develop data management and analysis plans that apply to their assigned research project, and 3) Group Learning where students develop action plans, communication, and presentation skills.
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Research Methods:&amp;nbsp;The educational outcomes were quantitatively and qualitatively analyzed by administration of a pre- and post-test and self-evaluation using a 5-item Likert scale as well as the completion of project and presentation of poster. Average examination scores and self-evaluation scores were analyzed for trends. Learner feedback was collected concurrently with the final assessment.
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Results:&amp;nbsp;Average pre-test and self-evaluations scores were 3.29 ± 1.11 out of 7 and 11.0 ± 1.63 out of 20, respectively. Average post-test and self-evaluation scores increased dramatically to 5.71 ± 0.95 and 17.86 ± 1.77, demonstrating student acquisition of concepts and increased confidence in their knowledge of medical research. End-of-program scores were 6.43 ± 0.53 and 17 ± 1.15, respectively, and demonstrated good concept retention and retained confidence.
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Discussion:&amp;nbsp;The PRIMER model serves to both increase the capacity for resident-driven research in community hospital settings and provide pre-professional students with training and experience to help matriculate and succeed in medical programs. Resident physicians (PGY1-PGY4, n=15) indicated that the PRIMER program would be very helpful in designing (n=12), implementing (n=12), and completing (n=13) a research project. We were successful in implementing the program with three of four projects completed in the initial time frame planned. One project was not completed, and one contributing factor was resident vacation time. Future iterations in our program will consider the full resident schedule for the duration of the program. Research assistants feedback suggested improvements on coordinating resident schedules (vacation and graduation) with the program. We plan to implement the program two to three times each year to accommodate the overwhelming undergraduate interest and further enhance our residents' ability to ask clinically relevant research questions and explore those results in a community-based EM program.
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Topics:&amp;nbsp;Medical research, statistics, data analysis, mentorship, data management, research ethics.
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</dc:description><dc:subject>Medical research</dc:subject><dc:subject>statistics</dc:subject><dc:subject>data analysis</dc:subject><dc:subject>mentorship</dc:subject><dc:subject>data management</dc:subject><dc:subject>research ethics</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/43m5g3nm</dc:identifier><dc:identifier>https://escholarship.org/content/qt43m5g3nm/qt43m5g3nm.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52386</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7dg5d3hf</identifier><datestamp>2026-07-31T11:07:57Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7dg5d3hf</dc:identifier><dc:title>Hematoma, Hemarthrosis, and Hemotympanum: A Case Report of Acquired Hemophilia A&amp;nbsp;</dc:title><dc:creator>Wolff, Andrea</dc:creator><dc:creator>Dahlen, Ivy</dc:creator><dc:creator>Singavi, Arun</dc:creator><dc:date>2026-07-31</dc:date><dc:description>A 75-year-old female with no prior history of bleeding disorders presented to the emergency department with spontaneous sublingual hematoma, hemarthrosis, hemotympanum, and cutaneous ecchymoses. She denied anticoagulant use, recent trauma, or underlying systemic disease. Initial laboratory findings revealed an isolated prolonged activated partial thromboplastin time (aPTT) that failed to correct with mixing studies. Factor VIII activity was markedly reduced, and the presence of factor VIII inhibitors was confirmed, leading to a diagnosis of acquired hemophilia A (AHA). Management included recombinant activated factor VII (rFVIIa) for hemostatic control, corticosteroids for immunosuppression, and weekly rituximab for inhibitor eradication. During her hospital course, serial monitoring demonstrated a decreasing inhibitor titer and improving coagulation profile. She was discharged and completed four weeks of rituximab and a steroid taper, with complete normalization of coagulation profile and inhibitor eradication within four weeks.&amp;nbsp; This case underscores the importance of recognizing AHA in patients with unexplained bleeding and prolonged aPTT. Prompt diagnosis and targeted therapy are critical in reducing morbidity and mortality associated with this rare but potentially life-threatening disorder.1,2</dc:description><dc:subject>Acquired hemophilia A</dc:subject><dc:subject>spontaneous bleeding</dc:subject><dc:subject>factor VIII inhibitors</dc:subject><dc:subject>prolonged aPTT</dc:subject><dc:subject>Bethesda assay</dc:subject><dc:subject>recombinant activated factor VII (rFVIIa)</dc:subject><dc:subject>immunosuppressive therapy</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7dg5d3hf</dc:identifier><dc:identifier>https://escholarship.org/content/qt7dg5d3hf/qt7dg5d3hf.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52344</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3m16q2tx</identifier><datestamp>2026-07-31T11:07:57Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3m16q2tx</dc:identifier><dc:title>Pleiotropic genes for metabolic syndrome and inflammation</dc:title><dc:creator>Kraja, Aldi T</dc:creator><dc:creator>Chasman, Daniel I</dc:creator><dc:creator>North, Kari E</dc:creator><dc:creator>Reiner, Alexander P</dc:creator><dc:creator>Yanek, Lisa R</dc:creator><dc:creator>Kilpeläinen, Tuomas O</dc:creator><dc:creator>Smith, Jennifer A</dc:creator><dc:creator>Dehghan, Abbas</dc:creator><dc:creator>Dupuis, Josée</dc:creator><dc:creator>Johnson, Andrew D</dc:creator><dc:creator>Feitosa, Mary F</dc:creator><dc:creator>Tekola-Ayele, Fasil</dc:creator><dc:creator>Chu, Audrey Y</dc:creator><dc:creator>Nolte, Ilja M</dc:creator><dc:creator>Dastani, Zari</dc:creator><dc:creator>Morris, Andrew</dc:creator><dc:creator>Pendergrass, Sarah A</dc:creator><dc:creator>Sun, Yan V</dc:creator><dc:creator>Ritchie, Marylyn D</dc:creator><dc:creator>Vaez, Ahmad</dc:creator><dc:creator>Lin, Honghuang</dc:creator><dc:creator>Ligthart, Symen</dc:creator><dc:creator>Marullo, Letizia</dc:creator><dc:creator>Rohde, Rebecca</dc:creator><dc:creator>Shao, Yaming</dc:creator><dc:creator>Ziegler, Mark A</dc:creator><dc:creator>Im, Hae Kyung</dc:creator><dc:creator>Group, Cross Consortia Pleiotropy</dc:creator><dc:creator>Heart and, the Cohorts for</dc:creator><dc:creator>Epidemiology, Aging Research in Genetic</dc:creator><dc:creator>Consortium, the Genetic Investigation of Anthropometric Traits</dc:creator><dc:creator>Consortium, the Global Lipids Genetics</dc:creator><dc:creator>the Meta-Analyses of Glucose</dc:creator><dc:creator>Consortium, Insulin-related traits</dc:creator><dc:creator>Consortium, the Global BPgen</dc:creator><dc:creator>Consortium, The ADIPOGen</dc:creator><dc:creator>Study, the Women's Genome Health</dc:creator><dc:creator>Study, the Howard University Family</dc:creator><dc:creator>Schnabel, Renate B</dc:creator><dc:creator>Jørgensen, Torben</dc:creator><dc:creator>Jørgensen, Marit E</dc:creator><dc:creator>Hansen, Torben</dc:creator><dc:creator>Pedersen, Oluf</dc:creator><dc:creator>Stolk, Ronald P</dc:creator><dc:creator>Snieder, Harold</dc:creator><dc:creator>Hofman, Albert</dc:creator><dc:creator>Uitterlinden, Andre G</dc:creator><dc:creator>Franco, Oscar H</dc:creator><dc:creator>Ikram, M Arfan</dc:creator><dc:creator>Richards, J Brent</dc:creator><dc:creator>Rotimi, Charles</dc:creator><dc:creator>Wilson, James G</dc:creator><dc:creator>Lange, Leslie</dc:creator><dc:creator>Ganesh, Santhi K</dc:creator><dc:creator>Nalls, Mike</dc:creator><dc:creator>Rasmussen-Torvik, Laura J</dc:creator><dc:creator>Pankow, James S</dc:creator><dc:creator>Coresh, Josef</dc:creator><dc:creator>Tang, Weihong</dc:creator><dc:creator>Kao, WH Linda</dc:creator><dc:creator>Boerwinkle, Eric</dc:creator><dc:creator>Morrison, Alanna C</dc:creator><dc:creator>Ridker, Paul M</dc:creator><dc:creator>Becker, Diane M</dc:creator><dc:creator>Rotter, Jerome I</dc:creator><dc:creator>Kardia, Sharon LR</dc:creator><dc:creator>Loos, Ruth JF</dc:creator><dc:creator>Larson, Martin G</dc:creator><dc:creator>Hsu, Yi-Hsiang</dc:creator><dc:creator>Province, Michael A</dc:creator><dc:creator>Tracy, Russell</dc:creator><dc:creator>Voight, Benjamin F</dc:creator><dc:creator>Vaidya, Dhananjay</dc:creator><dc:creator>O'Donnell, Christopher J</dc:creator><dc:creator>Benjamin, Emelia J</dc:creator><dc:creator>Alizadeh, Behrooz Z</dc:creator><dc:creator>Prokopenko, Inga</dc:creator><dc:creator>Meigs, James B</dc:creator><dc:creator>Borecki, Ingrid B</dc:creator><dc:date>2014-08-01</dc:date><dc:description>Metabolic syndrome (MetS) has become a health and financial burden worldwide. The MetS definition captures clustering of risk factors that predict higher risk for diabetes mellitus and cardiovascular disease. Our study hypothesis is that additional to genes influencing individual MetS risk factors, genetic variants exist that influence MetS and inflammatory markers forming a predisposing MetS genetic network. To test this hypothesis a staged approach was undertaken. (a) We analyzed 17 metabolic and inflammatory traits in more than 85,500 participants from 14 large epidemiological studies within the Cross Consortia Pleiotropy Group. Individuals classified with MetS (NCEP definition), versus those without, showed on average significantly different levels for most inflammatory markers studied. (b) Paired average correlations between 8 metabolic traits and 9 inflammatory markers from the same studies as above, estimated with two methods, and factor analyses on large simulated data, helped in identifying 8 combinations of traits for follow-up in meta-analyses, out of 130,305 possible combinations between metabolic traits and inflammatory markers studied. (c) We performed correlated meta-analyses for 8 metabolic traits and 6 inflammatory markers by using existing GWAS published genetic summary results, with about 2.5 million SNPs from twelve predominantly largest GWAS consortia. These analyses yielded 130 unique SNPs/genes with pleiotropic associations (a SNP/gene associating at least one metabolic trait and one inflammatory marker). Of them twenty-five variants (seven loci newly reported) are proposed as MetS candidates. They map to genes MACF1, KIAA0754, GCKR, GRB14, COBLL1, LOC646736-IRS1, SLC39A8, NELFE, SKIV2L, STK19, TFAP2B, BAZ1B, BCL7B, TBL2, MLXIPL, LPL, TRIB1, ATXN2, HECTD4, PTPN11, ZNF664, PDXDC1, FTO, MC4R and TOMM40. Based on large data evidence, we conclude that inflammation is a feature of MetS and several gene variants show pleiotropic genetic associations across phenotypes and might explain a part of MetS correlated genetic architecture. These findings warrant further functional investigation.</dc:description><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3105 Genetics (for-2020)</dc:subject><dc:subject>Diabetes (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Human Genome (rcdc)</dc:subject><dc:subject>Genetics (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Cardiovascular (rcdc)</dc:subject><dc:subject>Obesity (rcdc)</dc:subject><dc:subject>Nutrition (rcdc)</dc:subject><dc:subject>2.1 Biological and endogenous factors (hrcs-rac)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Computational Biology (mesh)</dc:subject><dc:subject>Gene Regulatory Networks (mesh)</dc:subject><dc:subject>Genetic Pleiotropy (mesh)</dc:subject><dc:subject>Genetic Predisposition to Disease (mesh)</dc:subject><dc:subject>Genome-Wide Association Study (mesh)</dc:subject><dc:subject>Inflammation (mesh)</dc:subject><dc:subject>Metabolic Syndrome (mesh)</dc:subject><dc:subject>Phenotype (mesh)</dc:subject><dc:subject>Quantitative Trait</dc:subject><dc:subject>Heritable (mesh)</dc:subject><dc:subject>Metabolic syndrome</dc:subject><dc:subject>Inflammatory markers</dc:subject><dc:subject>Pleiotropic associations</dc:subject><dc:subject>Meta-analysis</dc:subject><dc:subject>Regulome</dc:subject><dc:subject>Cross Consortia Pleiotropy Group</dc:subject><dc:subject>Cohorts for Heart and</dc:subject><dc:subject>Aging Research in Genetic Epidemiology</dc:subject><dc:subject>Genetic Investigation of Anthropometric Traits Consortium</dc:subject><dc:subject>Global Lipids Genetics Consortium</dc:subject><dc:subject>Meta-Analyses of Glucose</dc:subject><dc:subject>Insulin-related traits Consortium</dc:subject><dc:subject>Global BPgen Consortium</dc:subject><dc:subject>ADIPOGen Consortium</dc:subject><dc:subject>Women's Genome Health Study</dc:subject><dc:subject>Howard University Family Study</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Genetic Predisposition to Disease (mesh)</dc:subject><dc:subject>Inflammation (mesh)</dc:subject><dc:subject>Computational Biology (mesh)</dc:subject><dc:subject>Quantitative Trait</dc:subject><dc:subject>Heritable (mesh)</dc:subject><dc:subject>Phenotype (mesh)</dc:subject><dc:subject>Gene Regulatory Networks (mesh)</dc:subject><dc:subject>Genome-Wide Association Study (mesh)</dc:subject><dc:subject>Genetic Pleiotropy (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Metabolic Syndrome (mesh)</dc:subject><dc:subject>Inflammatory markers</dc:subject><dc:subject>Meta-analysis</dc:subject><dc:subject>Metabolic syndrome</dc:subject><dc:subject>Pleiotropic associations</dc:subject><dc:subject>Regulome</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Computational Biology (mesh)</dc:subject><dc:subject>Gene Regulatory Networks (mesh)</dc:subject><dc:subject>Genetic Pleiotropy (mesh)</dc:subject><dc:subject>Genetic Predisposition to Disease (mesh)</dc:subject><dc:subject>Genome-Wide Association Study (mesh)</dc:subject><dc:subject>Inflammation (mesh)</dc:subject><dc:subject>Metabolic Syndrome (mesh)</dc:subject><dc:subject>Phenotype (mesh)</dc:subject><dc:subject>Quantitative Trait</dc:subject><dc:subject>Heritable (mesh)</dc:subject><dc:subject>1103 Clinical Sciences (for)</dc:subject><dc:subject>Genetics &amp; Heredity (science-metrix)</dc:subject><dc:subject>3105 Genetics (for-2020)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3m16q2tx</dc:identifier><dc:identifier>https://escholarship.org/content/qt3m16q2tx/qt3m16q2tx.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.ymgme.2014.04.007</dc:identifier><dc:type>article</dc:type><dc:source>Molecular Genetics and Metabolism, vol 112, iss 4</dc:source><dc:coverage>317 - 338</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt16657297</identifier><datestamp>2026-07-31T11:07:39Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt16657297</dc:identifier><dc:title>Computed Tomography Findings of Cerebral Venous Thrombosis: A Case Report</dc:title><dc:creator>Koo, Alex Y</dc:creator><dc:creator>Shulimson, Samuel</dc:creator><dc:creator>Borhart, Joelle</dc:creator><dc:date>2026-07-31</dc:date><dc:description>Cerebral venous thrombosis (CVT) is an uncommon occurrence, but it carries significant morbidity.1&amp;nbsp; CVT symptoms overlap with other common emergency department conditions, and it requires a specific neuroimaging for accurate detection, making this diagnosis a significant challenge for emergency clinicians. We present a case of a 20-year-old postpartum woman with a history of a post-dural puncture headache following a spinal block with worsening headache and disequilibrium.&amp;nbsp; She was found to have a cerebral venous thrombosis on non-contrast head CT and CT venogram of the head.&amp;nbsp; Her course was uncomplicated with appropriate symptom control while on anticoagulation.&amp;nbsp; We review her CT imaging findings and provide a brief review of the current recommendations and literature on CVT.</dc:description><dc:subject>Cerebral venous thrombosis</dc:subject><dc:subject>empty delta sign</dc:subject><dc:subject>CT venogram</dc:subject><dc:subject>headache</dc:subject><dc:subject>dural sinus thrombosis</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/16657297</dc:identifier><dc:identifier>https://escholarship.org/content/qt16657297/qt16657297.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52331</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8z82b354</identifier><datestamp>2026-07-31T11:07:36Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8z82b354</dc:identifier><dc:title>Rapidly Progressive Painless Acute Aortic Dissection: A Case Report</dc:title><dc:creator>Yang, Justin</dc:creator><dc:creator>Rigdon, Tyler</dc:creator><dc:creator>Lewis, Kristin</dc:creator><dc:date>2026-07-31</dc:date><dc:description>Acute aortic dissection (AAD) typically presents with sudden, severe chest or back pain. This case highlights an atypical painless presentation that was rapidly progressive and lethal. A 55-year-old woman presented with generalized weakness, agitation, and shortness of breath, but without pain. Initial point-of-care ultrasound (POCUS) was reassuring, but persistent agitation and emerging abdominal tenderness prompted reexamination and repeat POCUS, which revealed evidence of aortic dissection. Computed tomography angiogram (CTA) confirmed the diagnosis of a Stanford Type A dissection. Despite aggressive resuscitative efforts, the patient’s condition deteriorated rapidly. This case emphasizes the importance of observant reassessment and repeating POCUS in atypical presentations of AAD because subtle clinical changes can reveal life-threatening conditions such as aortic dissection.</dc:description><dc:subject>Acute Aortic Dissection</dc:subject><dc:subject>Abdominal Aortic Dissection</dc:subject><dc:subject>Painless Aortic Dissection</dc:subject><dc:subject>atypical presentation</dc:subject><dc:subject>reassessment POCUS</dc:subject><dc:subject>Diagnostic Ultrasound</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8z82b354</dc:identifier><dc:identifier>https://escholarship.org/content/qt8z82b354/qt8z82b354.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52348</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1mf3k155</identifier><datestamp>2026-07-31T11:07:31Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1mf3k155</dc:identifier><dc:title>Visual Case Report of a Prosthetic Joint Infection and Chronic Dehiscence following a Total Knee Arthroplasty</dc:title><dc:creator>Chao, Kevin</dc:creator><dc:creator>Matonis, Danielle</dc:creator><dc:creator>Wray, Alisa</dc:creator><dc:date>2026-07-31</dc:date><dc:description>&amp;nbsp;This case report highlights a unique presentation of a prosthetic joint infection. A 63-year-old female presented to the emergency department for right knee pain after falling three months earlier, shortly after a total knee arthroplasty. On exam, she was found to have a chronically dehisced wound with exposure of her femur, prosthetic, and overlying cellulitis. She was started on intravenous antibiotics and admitted to the orthopedic surgery service for an above-the-knee amputation. Her unusually delayed presentation and repeated refusal of operative management were heavily influenced by social determinants of health, including polysubstance use, lack of caregiver support, and housing instability.” This uncommon presentation of chronic dehiscence and prosthetic joint infection provides an opportunity to review the management of prosthetic joint infections compared to native joint septic arthritis, how socioeconomic factors drive patient outcomes, and a discussion on medical capacity.&amp;nbsp;</dc:description><dc:subject>wound dehiscence</dc:subject><dc:subject>chronic dehiscence</dc:subject><dc:subject>prosthetic joint infection</dc:subject><dc:subject>septic joint</dc:subject><dc:subject>total knee arthroplasty</dc:subject><dc:subject>social determinants of health</dc:subject><dc:subject>medical capacity</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1mf3k155</dc:identifier><dc:identifier>https://escholarship.org/content/qt1mf3k155/qt1mf3k155.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52251</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4pb27817</identifier><datestamp>2026-07-31T11:07:27Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4pb27817</dc:identifier><dc:title>Simple Auricular Hematoma (“Cauliflower Ear”) Task Trainer</dc:title><dc:creator>Bailey, Laura</dc:creator><dc:creator>Shaffer, William</dc:creator><dc:creator>Thatcher, Byron</dc:creator><dc:creator>Bethel-Schmitz, Aubrey</dc:creator><dc:date>2026-07-31</dc:date><dc:description>Audience:&amp;nbsp;This&amp;nbsp;auricular hematoma task trainer&amp;nbsp;is designed to instruct emergency medicine (EM) residents,&amp;nbsp;fellows, and medical students.&amp;nbsp;Otolaryngology trainees may also benefit from this simulator.
&amp;nbsp;
Introduction:&amp;nbsp;Auricular hematomas are relatively infrequent but require timely intervention to prevent complications such as infection, cartilage necrosis, or permanent ear deformity (“cauliflower ear”).1&amp;nbsp;Although these injuries make up only a small part of all otologic complaints in the emergency department, they are one of the most frequent ear injuries in contact sports, with wrestlers, boxers, and rugby players being the most at-risk.2&amp;nbsp;&amp;nbsp;Not only can they occur in sports, one urban level I trauma review found 42% of auricular hematoma presentations were due to interpersonal violence or assault,3&amp;nbsp;making timely drainage a core skill now listed in the 2022 Model of the Clinical Practice of Emergency Medicine.4&amp;nbsp;EM residents often have limited opportunities to gain hands-on experience with this procedure in a controlled learning environment, with a low reported baseline confidence level highlighting a persistent training gap.5&amp;nbsp;Traditional models are expensive and single-use, with each one costing up to $60-100.6&amp;nbsp;This innovation was developed to address a training gap by providing a simple, affordable, and reproducible task trainer that enables learners to practice landmark identification, drainage, and post-procedure care of auricular hematomas with confidence.&amp;nbsp;
&amp;nbsp;
Educational Objectives: By the end of this session, learners will be able to:&amp;nbsp;1) identify the landmarks used to drain auricular hematomas, 2) demonstrate the ability to numb, incise, and drain an auricular hematoma, and 3) review methods for applying dressings to auricular hematomas.
&amp;nbsp;
Educational Methods:&amp;nbsp;Residents were given a five-minute in-person demonstration of how an auricular hematoma is drained using one of the models. They were then able to walk through the steps of incising, draining, and dressing the ear themselves using material found in the emergency department. The EMRAP instructional video was reviewed by the attending conducting the demonstration prior to teaching.7
Research Methods:&amp;nbsp;Eleven participants were instructed to incise and drain an auricular hematoma. The Michigan Standard Simulation Experience Scale (MiSSES) was used for anonymous feedback on the task trainer immediately after the simulation. Participants scored the simulator in five categories: Self-efficacy, fidelity, educational value, teaching quality, and the overall rating on a 5-point Likert scale, 1 = Strongly Disagree, 5 = Strongly Agree. The scale is a freely available, validated subjective-assessment tool created at the University of Michigan to standardize the evaluation of simulation-based education. In the scale, there are six domains for evaluation, and they demonstrated good internal consistency at initial psychometric testing.8&amp;nbsp;Variables were summarized using the mean and standard deviation.
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Results:&amp;nbsp;The eleven participants were composed of&amp;nbsp;7 PGY 1 EM residents and 4 EM attendings. They all completed the simulation and filled out the MiSSES form. Of the residents, none had any previous experience with auricular hematoma drainage. Of the attendings, all had done one previously, but none more than 3.&amp;nbsp;Using the MiSSES, the model received an overall positive rating of 5.0.&amp;nbsp;The highest rating was on teaching quality (5.0) and educational value (5.0).&amp;nbsp;For fidelity, the trainer received a 4.9/5.
&amp;nbsp;
Discussion:&amp;nbsp;Overall, the residents felt that this simulation was a good training tool for auricular hematoma, which is a lower occurrence but time-sensitive procedure. We created a reusable and cheap simulator model that scored high in a standard simulator’s assessment survey.
&amp;nbsp;
Topics:&amp;nbsp;Auricular hematoma, incision and drainage, cauliflower ear.
&amp;nbsp;
</dc:description><dc:subject>Auricular hematoma</dc:subject><dc:subject>incision and drainage</dc:subject><dc:subject>cauliflower ear</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4pb27817</dc:identifier><dc:identifier>https://escholarship.org/content/qt4pb27817/qt4pb27817.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52387</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3pq0g7xw</identifier><datestamp>2026-07-31T11:06:52Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3pq0g7xw</dc:identifier><dc:title>The Three Breath Method: Teaching Coping Mechanisms for Processing Patient Death &amp;nbsp;</dc:title><dc:creator>Petelinsek, Sarah</dc:creator><dc:creator>Christensen, Genae</dc:creator><dc:creator>Franke, Alexander</dc:creator><dc:creator>Raps, Christine</dc:creator><dc:creator>Beaulieu, Allison</dc:creator><dc:creator>Fix, Megan</dc:creator><dc:creator>Langmann, Gabrielle</dc:creator><dc:creator>Hughes, Patrick G.</dc:creator><dc:date>2026-07-31</dc:date><dc:description>Audience:&amp;nbsp;The target audience for this video is any provider who is likely to experience patient death. We have demonstrated this method to medical students, residents, and faculty and across departments and disciplines of health care including physician assistants and nurses.&amp;nbsp;
Introduction: Emergency medicine (EM) physicians frequently encounter patient death, requiring effective coping strategies. Brief mindfulness practices, including focused breathing, can promote emotional regulation and reduce perceived stress. These techniques are particularly relevant in acute care settings where rapid cognitive and emotional transitions are required.1 While techniques such as “The Pause”—a moment of silence after death—have been proposed, their impact remains understudied. 2-4 In addition to the Pause Method, many physicians at our institution utilize the “Three-Breath Guided Meditation” technique, a structured deep-breathing exercise designed to help reduce stress. This study aimed to assess EM physicians' perceived ability to process patient death, explore coping strategies, and evaluate the effectiveness of both “The Pause” and the “Three-Breath Method.” &amp;nbsp;
Educational Objectives: After watching the video, proposed viewers should be able to: 1) describe the Three-Breath technique, and its potential impact on healthcare providers' ability to manage stress and process patient death, 2) evaluate the effectiveness of the Three-Breath guided meditation in improving emotional reconciliation and reducing stress for emergency medicine physicians, and 3) demonstrate the Three-Breath technique and implement it into their own practice&amp;nbsp;
Educational Methods: Emergency medicine residents and faculty were invited via email to watch a 4-minute instructional video on the Three-Breath Technique. This video lecture was made available asynchronously, and participants were encouraged to watch the video at a time that was suitable to them.&amp;nbsp;  
Research Methods: Emergency medicine residents and attending physicians completed a mixed-methods questionnaire on their coping abilities after patient death. The survey included baseline experiences, coping practices, comfort levels, and the 4-minute instructional video. Responses were analyzed using descriptive statistics, Spearman’s correlation for continuous variables, and thematic analysis of free-text data.&amp;nbsp; &amp;nbsp; 
Results: Of 79 invited EM physicians, 49 responded (62%), including 39% attendings and 61% residents (median age 33.5 years, 53% male, 47% female). A weak correlation was found between training level and perceived ability to process death (r=0.27), with attending physicians reporting greater comfort (mean = 4.45) than residents (mean = 3.75). Perceived ability to process death moderately correlated with comfort returning to work (r=0.55). Overall, 59% used the Pause or Three-Breath techniques, and 94% reported comfort coping after patient death.&amp;nbsp; 
Discussion: Physicians’ comfort in processing patient death increases with training level, with attendings feeling more prepared than residents. Most providers use the Pause1-3 or Three-Breath Method and report comfort in coping. However, the study's single-institution scope, modest sample size, and reliance on self-reported data may limit generalizability. Future efforts should be expanded to additional specialties and emphasize flexibility and individualized strategies to support emotional well-being in clinical practice.&amp;nbsp; 
The Three-Breath guided meditation technique, as an extension of The Pause,2-4 is being widely adopted by physicians at one US academic institution and may enhance physicians’ ability to process patient death, promoting emotional reconciliation and stress reduction in high-pressure healthcare environments.

</dc:description><dc:subject>Physician coping with patient death</dc:subject><dc:subject>coping strategiesnovel coping strategy</dc:subject><dc:subject>Physician coping with patient death coping strategies</dc:subject><dc:subject>novel coping strategy</dc:subject><dc:subject>Coping strategies</dc:subject><dc:subject>patient death coping</dc:subject><dc:subject>physician wellness</dc:subject><dc:subject>Wellness</dc:subject><dc:subject>patient death</dc:subject><dc:subject>emotional resilience</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3pq0g7xw</dc:identifier><dc:identifier>https://escholarship.org/content/qt3pq0g7xw/qt3pq0g7xw.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.53087</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt77q6p449</identifier><datestamp>2026-07-31T11:06:48Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt77q6p449</dc:identifier><dc:title>Managing Spontaneous Abortion Hemorrhage: An Adult Simulation Case for Emergency Medicine Residents&amp;nbsp;</dc:title><dc:creator>Freeman, Brendan</dc:creator><dc:creator>Gudhe, Ritika</dc:creator><dc:creator>Kong, Rodrigo</dc:creator><dc:creator>Levy, Eric</dc:creator><dc:creator>Swaminathan, Anand</dc:creator><dc:date>2026-07-31</dc:date><dc:description>Audience:&amp;nbsp;This simulation is intended for emergency medicine residents, PGY 1-4.
Introduction: Postpartum hemorrhage (PPH) is defined as cumulative blood loss ≥1000 mL or any postpartum bleeding with signs of hypovolemia within 24 hours of delivery. Post-abortion hemorrhage (PAH) has no single universally adopted numeric definition but clinically is defined as excessive bleeding following spontaneous or induced abortion that results in hemodynamic instability, need for transfusion, hospital admission, or procedural intervention. Due to its rarity, PAH may be underrecognized and thus is the target of this simulation. The emergency department is the country's reproductive health safety net. With the decline of labor and delivery units and on-call, in-house OB/GYN consultants, emergency clinicians must be equipped to recognize and manage these cases.1 Effective management of these cases includes uterotonic medications and uterine tamponade devices like the Bakri balloon.2 There is mixed evidence on the use of Bakri balloons for post-abortion hemorrhage, with some hospitals moving towards vacuum-assisted devices (e.g. JADA).3 However, they have remained relevant in non-OB settings and institutions with limited obstetrical support.4-6 This simulation aims to address a gap in training for PAH for emergency medicine residents, focusing on the placement of the Bakri balloon.&amp;nbsp;
Educational Objectives: By the end of this simulation, learners should be able to: 1) recognize signs of post-abortion hemorrhage, 2) manage hemorrhage using appropriate physical maneuvers, uterotonic medications, and specialist consultation, 3) demonstrate proper placement of a Bakri balloon
Educational Methods: This single-center, high-fidelity simulation was conducted at a tertiary care academic center. Simulation was chosen as the best way to teach this topic because it allows a psychologically safe environment to practice a scenario which involves high-level critical thinking and fine-motor skills that would otherwise degrade under stress during a real patient encounter.&amp;nbsp; 
Research Methods: Pre- and post-simulation surveys were administered, including Likert-scale questions on comfort with the management and procedures included, and a multiple-choice knowledge assessment. Twenty-eight individuals completed the pre-simulation learner evaluation, and 31 completed the post-simulation learner evaluation. Likert-scale data was treated as ordinal (1 = strongly disagree, 5 = strongly agree) and analyzed using the Mann-Whitney U Test. The multiple-choice knowledge assessment was analyzed using a paired T-test.&amp;nbsp;
Results: The simulation included 29 emergency medicine residents, four MS3 students, 4 MS4 students, and 3 junior EM PA fellows. This case was used eight times during the session. The simulation lasts approximately 20 minutes. There were statistically significant improvements across all measures. On a 5-point Likert scale, comfort in placing a Bakri balloon increased from 2.35 to 3.97 (U = 82, z = 5.34, P &amp;lt; 0.01); comfort in managing postpartum/abortion hemorrhage rose from 3.11 to 3.90 (U = 197, z = 3.59, P &amp;lt; 0.01), and recognition of hemorrhage signs increased from 3.96 to 4.39 (U = 278, z = 2.36, P = 0.02). Mean scores on the multiple-choice knowledge assessment improved from 55.79% to 90.52% (t(18) = -5.23, P &amp;lt; 0.001) pre- and post-intervention. 
Discussion: This simulation successfully addressed the gap in the educational materials available to address the learning of the recognition and management of PPH/PAH, including the placement of intrauterine balloon devices. The simulation increased learners’ comfort in managing PAH and placing Bakri balloons. While effective for immediate skills/knowledge acquisition, this is a high-acuity, low-occurrence procedure that requires repetition and deliberate practice for more durable learning.&amp;nbsp;</dc:description><dc:subject>Postpartum hemorrhage</dc:subject><dc:subject>post-abortion hemorrhage</dc:subject><dc:subject>Bakri balloon</dc:subject><dc:subject>uterine tamponade</dc:subject><dc:subject>simulation training.</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/77q6p449</dc:identifier><dc:identifier>https://escholarship.org/content/qt77q6p449/qt77q6p449.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52263</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9289h1wb</identifier><datestamp>2026-07-31T11:06:43Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9289h1wb</dc:identifier><dc:title>VP Shunt Malfunction Simulation Case for Emergency&amp;nbsp;Medicine Residents</dc:title><dc:creator>Koda, Alexis</dc:creator><dc:creator>Vawter, Kyle Thomas</dc:creator><dc:date>2026-07-27</dc:date><dc:description>Audience:&amp;nbsp;This simulation was designed primarily for emergency medicine residents and pediatric emergency medicine residents. Additionally, off-service residents, neurosurgical residents, pediatric residents, faculty, and medical students may benefit.
&amp;nbsp;
Introduction:&amp;nbsp;Ventriculoperitoneal (VP) shunts are the treatment of choice for patients suffering from hydrocephalus.Hydrocephalus affects about 125,000 patients in the United States, and 33,000 VP shunts are implanted in patients every year.1&amp;nbsp;However, these devices can malfunction and can cause complications. It is important for the emergency department physician to recognize when these devices are not functioning correctly to prevent life-threatening complications. Training for VP shunt malfunction can be variable depending upon the patient population seen by residents. Therefore, we outline a simulation for mechanical VP shunt malfunction to provide learners with exposure to this topic.
&amp;nbsp;
Educational Objectives:&amp;nbsp;The objective of this simulated case is to increase learner knowledge and develop the skills necessary to troubleshoot VP shunt malfunction.&amp;nbsp;By the end of this simulation, learners should be able to: 1) review pertinent historical and physical exam points for a shunt patient,&amp;nbsp;2) recognize the signs and symptoms of VP shunt malfunction, 3) review an algorithm for diagnosing VP shunt malfunction,&amp;nbsp;4) discuss treatment for common complications of VP shunt dysfunction, and&amp;nbsp;5) recall&amp;nbsp;the&amp;nbsp;indications&amp;nbsp;for an&amp;nbsp;emergent VP shunt tap.
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Educational Methods:&amp;nbsp;In this study,&amp;nbsp;a high-fidelity&amp;nbsp;mannikin with a do-it-yourself (DIY) task trainer was used&amp;nbsp;in a simulated&amp;nbsp;case scenario. Learners were required to recognize the signs and symptoms of shunt dysfunction, administer the appropriate treatment, and appropriately disposition the simulated patient.
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Research methods:&amp;nbsp;Residents completed pre- and post- simulation surveys to assess their perceived knowledge and confidence regarding the diagnosis and management of VP shunt malfunction. To prevent priming or diagnostic cueing, the term “neurologic device” was used&amp;nbsp;in the&amp;nbsp;pre-simulation&amp;nbsp;surveys. This wording may significantly limit direct comparison between pre- and post-simulation responses.&amp;nbsp;&amp;nbsp;Learners were also asked&amp;nbsp;to provide feedback&amp;nbsp;on the utility&amp;nbsp;of&amp;nbsp;the simulation for their future practice and usefulness&amp;nbsp;of&amp;nbsp;the topic.&amp;nbsp;
&amp;nbsp;
Results:&amp;nbsp;Learners reported high&amp;nbsp;levels&amp;nbsp;of confidence&amp;nbsp;in recognizing signs&amp;nbsp;and&amp;nbsp;symptoms of shunt dysfunction and managing complications&amp;nbsp;after&amp;nbsp;the simulation. Residents also reported that the case was&amp;nbsp;valuable&amp;nbsp;for&amp;nbsp;their future clinical practice&amp;nbsp;and felt as though the simulation experience was&amp;nbsp;positive.
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Discussion:&amp;nbsp;Overall, the educational content was effective. The simulation appears to be useful in addressing knowledge gaps in managing VP shunt dysfunction and may increase learner confidence.&amp;nbsp;
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Topics:&amp;nbsp;Medical simulation, ventriculoperitoneal shunt dysfunction, hydrocephalus, pediatrics, increased intracranial pressure, shunt tap, neurologic emergencies.
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</dc:description><dc:subject>Medical simulation</dc:subject><dc:subject>ventriculoperitoneal shunt dysfunction</dc:subject><dc:subject>hydrocephalus</dc:subject><dc:subject>pediatrics</dc:subject><dc:subject>increased intracranial pressure</dc:subject><dc:subject>shunt tap</dc:subject><dc:subject>neurologic emergencies.</dc:subject><dc:subject>Medical Simulation</dc:subject><dc:subject>neurologic emergencies</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9289h1wb</dc:identifier><dc:identifier>https://escholarship.org/content/qt9289h1wb/qt9289h1wb.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52255</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7bj7j26f</identifier><datestamp>2026-07-31T11:06:38Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7bj7j26f</dc:identifier><dc:title>Procedurepalooza: A Reproducible Workshop to Teach Core Procedures to Preclinical Learners</dc:title><dc:creator>Ryan, Matthew</dc:creator><dc:date>2026-07-31</dc:date><dc:description>Audience:&amp;nbsp; This innovation is designed for first- and second-year medical students seeking early exposure to core procedural skills relevant to emergency medicine.
Introduction: Early procedural training opportunities are limited in preclinical medical education, leaving students underprepared and lacking confidence in essential clinical skills.1 Simulation-based procedural instruction has proven effective for residents and senior students, but preclinical learners often lack similar access.2 Procedurepalooza was developed to address this gap by providing a scalable, low-cost, hands-on workshop introducing foundational procedural techniques in a supportive, high-engagement environment.&amp;nbsp; Prior studies demonstrate that early procedural exposure improves confidence and skill acquisition; however, structured opportunities for preclinical learners remain limited.3
Educational Objectives: By the end of the Procedurepalooza instructional session, learners will be able to: 1) recognize appropriate clinical indications for six foundational procedural skills commonly performed in emergency and acute care medicine, including intravenous (IV) placement, suturing, splinting, point-of-care ultrasound, airway management, and electrocardiogram (ECG) interpretation, 2) demonstrate proper technique in each procedure under guided supervision, emphasizing safety and ergonomics, and 3) perform core procedural steps through repeated hands-on practice in a structured small-group environment.
Educational Methods:&amp;nbsp;Procedurepalooza is a half-day, multi-station workshop teaching six essential procedural skills: intravenous (IV) placement, suturing, splinting, point-of-care ultrasound, airway management, and electrocardiogram (ECG) interpretation. Learners rotate through small-group stations (6–10 students) in 20-minute intervals, guided by faculty or senior residents. The workshop is designed for adaptability across institutions, requiring only basic equipment and reusable materials.&amp;nbsp; The session was conducted as a live, hands-on workshop within the preclinical curriculum using a standardized small-group rotation model.2
Research Methods: A pre- and post-event survey assessed self-reported procedural confidence across the six skills using a 5-point Likert scale. Participation was voluntary and anonymous. Quantitative analysis compared mean confidence ratings pre- and post-event.
Results: Procedurepalooza has been conducted annually since 2012, consistently attracting strong student participation and faculty engagement. In one representative implementation, 148 students participated, and 102 completed both pre- and post-event surveys (70% response rate). Statistically significant improvements were observed across all procedural domains (P &amp;lt; 0.001). The largest gains occurred in intravenous (IV) placement (+1.80) and suturing (+1.68). Qualitative feedback emphasized the event’s accessibility, supportive teaching environment, and value in preparing students for clinical rotations.&amp;nbsp;
Discussion: Procedurepalooza significantly improved learner confidence in procedural skills through an engaging, reproducible, and low-cost format. While this event demonstrated improved procedural confidence, prior work shows that structured skills training enhances long-term procedural performance and that simulation-based education is associated with improved patient-related outcomes. Although we did not assess downstream proficiency, the combination of increased confidence and learner engagement suggests that early procedural exposure may support future clinical skill development.4, 5 Its design promotes scalability and sustainability, making it suitable for institutions seeking to enhance preclinical procedural training with limited resources.&amp;nbsp; Because Procedurepalooza also introduces preclinical students to emergency medicine earlier in their training—an experience typically deferred until later clinical years—this may anecdotally increase student interest in pursuing the specialty.

</dc:description><dc:subject>Procedural skills</dc:subject><dc:subject>Simulation</dc:subject><dc:subject>Airway Management</dc:subject><dc:subject>ultrasound</dc:subject><dc:subject>medical education innovation</dc:subject><dc:subject>suturing</dc:subject><dc:subject>preclinical students</dc:subject><dc:subject>emergency medicine</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7bj7j26f</dc:identifier><dc:identifier>https://escholarship.org/content/qt7bj7j26f/qt7bj7j26f.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.53107</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9j90r4vz</identifier><datestamp>2026-07-31T11:06:31Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9j90r4vz</dc:identifier><dc:title>EKG Bootcamp—A Novel Emergency Medicine Small Group Session</dc:title><dc:creator>Sokol, Kimberly</dc:creator><dc:creator>Lucero, Anthony David</dc:creator><dc:creator>Kemp, Melissa</dc:creator><dc:creator>Singh, Nayana</dc:creator><dc:creator>Sprouse, Ian</dc:creator><dc:date>2026-07-31</dc:date><dc:description>&amp;nbsp;  
Audience:&amp;nbsp; The target audience for this small group session is post-graduate year (PGY) 1-4 emergency medicine (EM) residents and medical students.
Introduction: An electrocardiogram (ECG) is a crucial diagnostic tool in emergency medicine.1 Accurate ECG interpretation by emergency physicians is crucial for diagnosing life-threatening conditions, making it essential for EM residents' training. The Accreditation Council for Graduate Medical Education (ACGME) lists ECG interpretation as a vital patient care milestone for residency graduation.2 Despite this, research suggests that few EM programs have standardized ECG curricula or test for ECG interpretation competency.3 To address this gap, we created the “ECG Bootcamp,” which uses gamification to engage learners in key ECG concepts through group learning.
Educational Objectives: By the end of this group exercise, learners will be able to: 1) Recognize an emergent ECG that needs action immediately, 2) Demonstrate an understanding of normal vs abnormal pediatric ECGs, 3) Identify ECG manifestations of toxicologic conditions, 4) Describe the key characteristics of an ECG in a patient with a pacemaker and problems thereof, 5) Compare and contrast common ECG findings in patients with certain congenital/hereditary cardiac conditions, 6) Manage a patient presenting in extremis with torsades de pointes in the emergency department.
Educational Methods: The “ECG Bootcamp” uses gamification, which incorporates game-design elements into educational activities to enhance learner engagement and motivation. This method was chosen to address the challenge of standardized ECG training in emergency medicine and the increasing use of gamification in graduate medical education.4-6 EM residency programs have implemented gamified curricula using quizzes, hands-on games, competitions, and longitudinal point-based games.8-9 By shifting from a passive lecture-based learning to a competitive format, the curriculum uses interactive learning to improve knowledge retention and participant satisfaction.6-7&amp;nbsp; Small group sessions were selected to ensure an intimate learning environment with a high faculty to student ratio. This setting allows for tailored instruction and immediate feedback, which are important for mastering ECG interpretation.&amp;nbsp;The bootcamp consists of six interactive stations, including competitive games and a simulation case. These stations are formulated to expose learners to important ECG concepts through different modalities, such as trivia and association games, while incorporating spaced learning to solidify understanding of cardiac pathology.&amp;nbsp;
Research Methods: The participants were provided with an anonymous online survey providing feedback regarding the quality of the educational content and the efficacy of the delivery method. The feedback had both a quantitative and qualitative component. The participants gave a rating between 1–10 out of 10, 1/10 being not effective learning, 10/10 being the most effective learning. In addition, they were given the option to leave comments.&amp;nbsp;
Results: A post-participation survey was provided to 46 participants, of which there were 18 respondents. We recognize that this is low and attribute this to the fact that the survey was sent out after the actual activity rather than included as part of the activity. One hundred percent of respondents rated both the small group game sessions and the simulation case a 10 out of 10 scale. Anonymous feedback comments from respondents were also provided.&amp;nbsp;
Discussion: The ECG Bootcamp serves as an effective model that addresses the gap in standardized ECG interpretation within emergency medicine residency programs. By integrating gamification with spaced repetition,10-11 this curriculum enhances learner engagement and aids in the solidification of cardiac pathology that often proves challenging in a traditional lecture format. Survey results indicated that the interactive, gamified nature of the session successfully meets the educational needs for learners across all levels of training.&amp;nbsp;
Overall, this session provides a reproducible blueprint for residency programs aiming to improve their cardiovascular curriculum. Beyond ECG interpretation, the framework of rotating through gamified stations and simulations can be adapted to other clinical topics to stimulate a more dynamic and retentive learning environment in post-graduate medical education.&amp;nbsp;</dc:description><dc:subject>Small groups</dc:subject><dc:subject>electrocardiogram (EKG)</dc:subject><dc:subject>gamification</dc:subject><dc:subject>medical education</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9j90r4vz</dc:identifier><dc:identifier>https://escholarship.org/content/qt9j90r4vz/qt9j90r4vz.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52155</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7p05g12g</identifier><datestamp>2026-07-31T11:06:22Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7p05g12g</dc:identifier><dc:title>Dangerous Dysrhythmias in the ED: An Interactive EKG Workshop for Emergency Medicine Clerkship Learners&amp;nbsp;</dc:title><dc:creator>Ancmon, Jordan</dc:creator><dc:creator>Feldman, Jacob</dc:creator><dc:date>2026-07-31</dc:date><dc:description>Audience:&amp;nbsp; This guided small group exercise is suitable for medical students who have completed basic lectures on electrocardiogram (EKG) interpretation. This activity was created for use within a third year required Emergency Medicine (EM) clerkship but can be implemented in other undergraduate medical education settings as well.
Introduction: Electrocardiogram (EKG) interpretation is poorly understood by medical students,1 and trainees display a concordant lack of confidence in their interpretation skills which can carry into fourth year of medical school and residency.2,3,4 Improving learner confidence and competence in identification of arrhythmias is of paramount importance to improve patient care.5,6 Our workshop targets the recognition and management of dangerous arrhythmias frequently seen in the Emergency Department&amp;nbsp;&amp;nbsp;
Educational Objectives: By the end of this session, learners will be able to: 1) identify common tachyarrhythmias and pulseless rhythms using EKGs, 2) differentiate stable from unstable tachyarrhythmias based on hemodynamics, symptoms, and EKG findings in acutely ill ED patients, 3) apply appropriate critical resuscitative actions to manage stable tachyarrhythmias, unstable tachyarrhythmias, and pulseless rhythms during emergency department resuscitations, in accordance with ACLS (Advanced Cardiopulmonary Life Support) principles, and 4) construct a rapid, ED-focused decision-making algorithm to guide the identification and management of tachyarrhythmias and pulseless rhythms.
Educational Methods: Learners participated in an interactive EKG workshop interspersed with lectures, EKG interpretation exercises, and case-based learning activities. During the workshop, students constructed a tachyarrhythmia and pulseless algorithm that will enable students in the future to identify and manage sinus tachycardia, supraventricular tachycardia (SVT), atrial fibrillation ( A fib ), atrial flutter, ventricular fibrillation (VF) and ventricular tachycardia (VT).&amp;nbsp; Students collaborated in small groups, receiving real-time feedback from the facilitator on all activities.&amp;nbsp; 
Research Methods: Since this curriculum was designed for research purposes, learners completed a pre-test prior to starting this session and a post-test once the session concluded. This EKG pre/post-test was developed alongside the workshop curriculum to address the concerns identified in the needs assessment. The test was validated through testing on PGY1-3 EM residents. Confidence was assessed using Likert-scales of 1 (not at all confident) to 5 (extremely confident). Retention was assessed four weeks after completing the workshop using the same post-test. This study was Institutional Review Board (IRB) exempt.
Results: Pre and post-test results were analyzed for 69 students that were divided across four cohorts. Students averaged a pre-test score of 74% and post-test score of 87.75%. This post-test score was maintained at the four-week reassessment with an average score of 86% (24.6% response rate).&amp;nbsp;
Confidence was measured by defining Likert scores of 1-3 as being “not confident” and 4-5 as “confident.” On the pre-test, student confidence in identifying ventricular tachycardia was 52%, identifying a shockable rhythm 38%, and identifying features of instability 16%. On the post-test, student’s confidence in identifying ventricular tachycardia rose to 96%, shockable rhythms to 93%, and features of instability to 90%.
Discussion: Active small-group EKG workshops enhance learners’ confidence and competence in recognizing and managing clinically significant arrhythmias in the emergency department. This learning exercise has become a staple of our required third-year EM clerkship and continues to show high learner satisfaction. 
</dc:description><dc:subject>EKG</dc:subject><dc:subject>arrythmias</dc:subject><dc:subject>tachyarrhythmia</dc:subject><dc:subject>atrial fibrillation</dc:subject><dc:subject>ventricular tachycardia</dc:subject><dc:subject>PEA</dc:subject><dc:subject>asystole</dc:subject><dc:subject>ventricular fibrillation</dc:subject><dc:subject>atrial flutter</dc:subject><dc:subject>supraventricular tachycardia</dc:subject><dc:subject>undergraduate medical education..</dc:subject><dc:subject>learner confidence</dc:subject><dc:subject>learner competence</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7p05g12g</dc:identifier><dc:identifier>https://escholarship.org/content/qt7p05g12g/qt7p05g12g.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.52195</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5x13r5zk</identifier><datestamp>2026-07-31T11:06:08Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5x13r5zk</dc:identifier><dc:title>Clinical Decision Making Case: Acute Ischemic Stroke with Large Vessel Occlusion</dc:title><dc:creator>Yee, Jennifer</dc:creator><dc:creator>San Miguel, Christopher</dc:creator><dc:creator>Mitzman, Jennifer</dc:creator><dc:creator>Li-Sauerwine, Simiao</dc:creator><dc:creator>Emerson, Geremiha</dc:creator><dc:creator>Leung, Cynthia G.</dc:creator><dc:creator>Miller, Krystin N</dc:creator><dc:creator>Jordan, Kelsey</dc:creator><dc:creator>Khandelwal, Sorabh</dc:creator><dc:date>2026-07-29</dc:date><dc:description>Audience:&amp;nbsp;This clinical decision-making (CDM) case is intended for emergency medicine (EM) residents of all levels.
Introduction: About 700,000 patients every year in the United States experience an acute ischemic stroke.1 Morbidity and mortality from an ischemic stroke may be limited from timely diagnosis and acute management, including specialist involvement, appropriate blood pressure control, and evaluation for possible thrombolytic therapy. EM residents should be familiar with stroke management principles whether they work in an academic, community, or rural setting.
Educational Objectives: By the end of this clinical decision-making case, learners will be able to: 1) demonstrate familiarity with the CDM case format and case play, 2) describe important historical information to obtain when suspecting an acute stroke, 3) outline key diagnostic tests to rule out other causes of acute neurologic deficits, 4) outline acute management strategies for acute ischemic stroke, 5) propose an appropriate disposition plan for patients with an acute ischemic stroke.
Educational Methods: This is a clinical decision-making boards case as outlined by the American Board of Emergency Medicine (ABEM). Each learner was paired with one instructor for the case, a scoring checklist by the instructor was used, structured debriefing time was incorporated into the assessment, and learners were given the opportunity to provide qualitative feedback after the case. 
Research Methods: Each CDM case session lasted approximately 25 minutes, with 15 minutes for the case and 10 minutes for debriefing and feedback. A 26-point critical action checklist was developed to evaluate each learner’s performance, with each point reflecting an equally weighted item. Learners then provided verbal feedback on the cases to the examiners at the conclusion of their assessments.&amp;nbsp;
Results: Thirty-nine categorical emergency medicine&amp;nbsp;residents participated as learners for this clinical decision-making session, including 10 third-year residents, 12 second-year residents and 17 first-year residents. The average overall score was 17.3 of 26 possible points.&amp;nbsp; Performance with respect to post-graduate year (PGY) is as follows: 17.7 for PGY-3s, 18.8 for PGY-2s, and 15.9 for PGY-1s.&amp;nbsp; One resident had a perfect score.&amp;nbsp;
Discussion: &amp;nbsp;Performance of our learners varied and unexpectedly, our second-year residents outperformed our third-year residents. This is likely due to our PGY-2 learners being responsible for the primary care of stroke patients in our department, which makes their identification and management of acute ischemic stroke patients likely more recently retrievable. 
</dc:description><dc:subject>Emergency Medicine</dc:subject><dc:subject>Neurology</dc:subject><dc:subject>stroke</dc:subject><dc:subject>acute ischemic stroke</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5x13r5zk</dc:identifier><dc:identifier>https://escholarship.org/content/qt5x13r5zk/qt5x13r5zk.pdf</dc:identifier><dc:identifier>info:doi/10.5070/M5.60864</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Education and Teaching in Emergency Medicine, vol 11, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1068r23v</identifier><datestamp>2026-07-31T11:01:44Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1068r23v</dc:identifier><dc:title>iBehavior—a preliminary proof of concept study of a smartphone-based tool for the assessment of behavior change in neurodevelopmental disabilities</dc:title><dc:creator>Dakopolos, Andrew</dc:creator><dc:creator>Glassman, Dana</dc:creator><dc:creator>Scott, Haleigh</dc:creator><dc:creator>Bass, Michael</dc:creator><dc:creator>Hessl, David</dc:creator><dc:date>2023-01-01</dc:date><dc:description>Purpose: The purpose of the present study was to describe the content and function of iBehavior, a smartphone-based caregiver-report electronic ecological momentary assessment (eEMA) tool developed to assess and track behavior change in people with intellectual and developmental disabilities (IDDs), and to examine its preliminary validity.
Methods: Ten parents of children (ages of 5-17 years) with IDDs (n = 7 with fragile X syndrome; n = 3 with Down syndrome) rated their child's behavior (aggression and irritability, avoidant and fearful behavior, restricted and repetitive behavior and interests, and social initiation) using iBehavior once daily for 14 days. At the conclusion of the 14-day observation period, parents completed traditional rating scales as validation measures, as well as a user feedback survey.
Results: Across the 140 possible observations, 8 were skipped, leading to a 94% response rate over 10 participants' observation periods. Participants also completed 100% of items for each of their logged observations. Parent ratings using iBehavior showed emerging evidence of convergent validity among domains with traditional rating scales including the Behavior Rating Inventory of Executive Function 2 (BRIEF-2), and Aberrant Behavior Checklist-Community (ABC-C). iBehavior was feasible in the sample, and parent feedback indicated high overall satisfaction.
Conclusion: Results of the present pilot study indicate successful implementation and preliminary feasibility and validity of an eEMA tool for use as a behavioral outcome measure in IDDs.</dc:description><dc:subject>5204 Cognitive and Computational Psychology (for-2020)</dc:subject><dc:subject>52 Psychology (for-2020)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Rare Diseases (rcdc)</dc:subject><dc:subject>Intellectual and Developmental Disabilities (IDD) (rcdc)</dc:subject><dc:subject>Clinical Trials and Supportive Activities (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Mental health (hrcs-hc)</dc:subject><dc:subject>developmental disabilities</dc:subject><dc:subject>ecological momentary assessment</dc:subject><dc:subject>EMA</dc:subject><dc:subject>behavior tracking</dc:subject><dc:subject>Down syndrome</dc:subject><dc:subject>fragile X syndrome</dc:subject><dc:subject>Down syndrome</dc:subject><dc:subject>EMA</dc:subject><dc:subject>behavior tracking</dc:subject><dc:subject>developmental disabilities</dc:subject><dc:subject>ecological momentary assessment</dc:subject><dc:subject>fragile X syndrome</dc:subject><dc:subject>1701 Psychology (for)</dc:subject><dc:subject>1702 Cognitive Sciences (for)</dc:subject><dc:subject>32 Biomedical and clinical sciences (for-2020)</dc:subject><dc:subject>52 Psychology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1068r23v</dc:identifier><dc:identifier>https://escholarship.org/content/qt1068r23v/qt1068r23v.pdf</dc:identifier><dc:identifier>info:doi/10.3389/fpsyg.2023.1217821</dc:identifier><dc:type>article</dc:type><dc:source>Frontiers in Psychology, vol 14</dc:source><dc:coverage>1217821</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2t6009z9</identifier><datestamp>2026-07-31T11:01:40Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2t6009z9</dc:identifier><dc:title>Sensitivity of the NIH Toolbox to Detect Cognitive Change in Individuals With Intellectual and Developmental Disability</dc:title><dc:creator>Shields, Rebecca H</dc:creator><dc:creator>Kaat, Aaron</dc:creator><dc:creator>Sansone, Stephanie M</dc:creator><dc:creator>Michalak, Claire</dc:creator><dc:creator>Coleman, Jeanine</dc:creator><dc:creator>Thompson, Talia</dc:creator><dc:creator>McKenzie, Forrest J</dc:creator><dc:creator>Dakopolos, Andrew</dc:creator><dc:creator>Riley, Karen</dc:creator><dc:creator>Berry-Kravis, Elizabeth</dc:creator><dc:creator>Widaman, Keith F</dc:creator><dc:creator>Gershon, Richard C</dc:creator><dc:creator>Hessl, David</dc:creator><dc:date>2023-02-21</dc:date><dc:description>BACKGROUND AND OBJECTIVE: Individuals with intellectual disability (ID) experience protracted cognitive development compared with typical youth. Sensitive measurement of cognitive change in this population is a critical need for clinical trials and other intervention studies, but well-validated outcome measures are scarce. This study's aim was to evaluate the sensitivity of the NIH Toolbox Cognition Battery (NIHTB-CB) to detect developmental changes in groups with ID-fragile X syndrome (FXS), Down syndrome (DS), and other ID (OID)-and to provide further support for its use as an outcome measure for treatment trials.
METHODS: We administered the NIHTB-CB and a reference standard cross-validation measure (Stanford-Binet Intelligence Scales, Fifth Edition [SB5]) to 256 individuals with FXS, DS, and OID (ages 6-27 years). After 2 years of development, we retested 197 individuals. Group developmental changes in each cognitive domain of the NIHTB-CB and SB5 were assessed using latent change score models, and 2-year growth was evaluated at 3 age points (10, 16, and 22 years).
RESULTS: Overall, effect sizes of growth measured by the NIHTB-CB tests were comparable with or exceeded those of the SB5. The NIHTB-CB showed significant gains in almost all domains in OID at younger ages (10 years), with continued gains at 16 years and stability in early adulthood (22 years). The FXS group showed delayed gains in attention and inhibitory control compared with OID. The DS group had delayed gains in receptive vocabulary compared with OID. Unlike the other groups, DS had significant growth in early adulthood in 2 domains (working memory and attention/inhibitory control). Notably, each group's pattern of NIHTB-CB growth across development corresponded to their respective pattern of SB5 growth.
DISCUSSION: The NIHTB-CB is sensitive to developmental changes in individuals with ID. Comparison with levels and timing of growth on the cross-validation measure shows that the NIHTB-CB has potential to identify meaningful trajectories across cognitive domains and ID etiologies. Sensitivity to change within the context of treatment studies and delineation of clinically meaningful changes in NIHTB-CB scores, linked to daily functioning, must be established in future research to evaluate the battery more completely as a key outcome measure.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:subject>3202 Clinical Sciences (for-2020)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Rare Diseases (rcdc)</dc:subject><dc:subject>Intellectual and Developmental Disabilities (IDD) (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Down Syndrome (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Fragile X Syndrome (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Clinical Trials and Supportive Activities (rcdc)</dc:subject><dc:subject>Mental health (hrcs-hc)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Developmental Disabilities (mesh)</dc:subject><dc:subject>Reproducibility of Results (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Attention (mesh)</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Short-Term (mesh)</dc:subject><dc:subject>Intellectual Disability (mesh)</dc:subject><dc:subject>Fragile X Syndrome (mesh)</dc:subject><dc:subject>Neuropsychological Tests (mesh)</dc:subject><dc:subject>Down Syndrome (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Down Syndrome (mesh)</dc:subject><dc:subject>Fragile X Syndrome (mesh)</dc:subject><dc:subject>Reproducibility of Results (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Short-Term (mesh)</dc:subject><dc:subject>Attention (mesh)</dc:subject><dc:subject>Developmental Disabilities (mesh)</dc:subject><dc:subject>Neuropsychological Tests (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Intellectual Disability (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Adolescent (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Developmental Disabilities (mesh)</dc:subject><dc:subject>Reproducibility of Results (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Attention (mesh)</dc:subject><dc:subject>Memory</dc:subject><dc:subject>Short-Term (mesh)</dc:subject><dc:subject>Intellectual Disability (mesh)</dc:subject><dc:subject>Fragile X Syndrome (mesh)</dc:subject><dc:subject>Neuropsychological Tests (mesh)</dc:subject><dc:subject>Down Syndrome (mesh)</dc:subject><dc:subject>1103 Clinical Sciences (for)</dc:subject><dc:subject>1109 Neurosciences (for)</dc:subject><dc:subject>1702 Cognitive Sciences (for)</dc:subject><dc:subject>Neurology &amp; Neurosurgery (science-metrix)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY-NC-ND</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2t6009z9</dc:identifier><dc:identifier>https://escholarship.org/content/qt2t6009z9/qt2t6009z9.pdf</dc:identifier><dc:identifier>info:doi/10.1212/wnl.0000000000201528</dc:identifier><dc:type>article</dc:type><dc:source>Neurology, vol 100, iss 8</dc:source><dc:coverage>e778 - e789</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5rf4k3q5</identifier><datestamp>2026-07-31T10:53:17Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5rf4k3q5</dc:identifier><dc:title>Effect of Real-time Feedback on the Quality of Cardiopulmonary Resuscitation for Medical Studentsin Colombia</dc:title><dc:creator>Piñeros-Alvarez, Jose Luis</dc:creator><dc:creator>Portuguez-Jaramillo, Nelson Esteban</dc:creator><dc:creator>Urbano-Cano, Astrid Lorena</dc:creator><dc:date>2026-07-31</dc:date><dc:description>Introduction: High-quality cardiopulmonary resuscitation (CPR) is essential to improve survival in cases of cardiac arrest. However, skill acquisition based solely on instructor observation has proven to be limited. In this context, real-time feedback devices emerge as promising tools to optimize CPR training.Objective: In this study our goal was to evaluate the effect of using a real-time feedback device on the quality of CPR performed by medical students at a public university in Colombia.
Methods: This was an experimental study with fourth-year medical students, randomly assigned to two groups. Both groups received the same initial theoretical and practical training in basic CPR. Subsequently, the intervention group practiced with a real-time feedback device, while the control group trained without technological feedback. The primary outcome measure was the target of chest compressions, simultaneously meeting both a rate of 100-120 compressions/minute and a depth of 5-6 cm (maximum value: 100%), as well as ventilations delivered within the 500-600 mL volume range. Secondary outcomes included isolated data on compression depth and rate during two simulated scenarios: hands-only CPR for two minutes and five cycles of 30 chest compressions and two ventilations.
Results:&amp;nbsp;Of 106 eligible participants, 98 (92.5%) completed the test (46 intervention / 52 control). Regarding the primary outcome, the intervention group showed significantly higher compliance with the compression target compared to the control group (median values: intervention group 31% vs control group 0%, P &amp;lt; .001). In the hands-only CPR test, the intervention group achieved a higher compression target (72% [40.7-81] vs 3.4% [0-40]; P &amp;lt; .05) and better depth control (5.5 cm [5-5.6] vs 6 cm [5.6-6.1]); P &amp;lt; .05], with no differences in rate (P = .71). In the test with cycles of 30 chest compressions and two ventilations, the intervention group performed better, with a higher compression target (73% [5-83] vs 0.5% [0-19]), P&amp;lt; .05) and better depth control (5.5 cm [5-5.8] vs 6 cm [5.9-6.1], P &amp;lt; .05). No significant differences were observed in ventilation. Both groups had a median target completion of 0% with tidal volumes (intervention group, 265 mL; control group, 291 mL), accounting for failure at well below the recommended 500-600 mL.
Conclusion: Real-time feedback significantly improved chest compression quality in medical students, although ventilation difficulties persisted. Future research is needed to assess long-term skill retention and clinical application.&amp;nbsp;</dc:description><dc:subject>Cardiopulmonary resuscitation quality</dc:subject><dc:subject>chest compression</dc:subject><dc:subject>cardiopulmonary resuscitation training</dc:subject><dc:subject>Feedback</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5rf4k3q5</dc:identifier><dc:identifier>https://escholarship.org/content/qt5rf4k3q5/qt5rf4k3q5.pdf</dc:identifier><dc:identifier>info:doi/10.5811/westjem.50647</dc:identifier><dc:type>article</dc:type><dc:source>Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, vol 0, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7br8n7s3</identifier><datestamp>2026-07-31T10:50:28Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7br8n7s3</dc:identifier><dc:title>Increasing participant diversity in AD research: Plans for digital screening, blood testing, and a community‐engaged approach in the Alzheimer's Disease Neuroimaging Initiative 4</dc:title><dc:creator>Weiner, Michael W</dc:creator><dc:creator>Veitch, Dallas P</dc:creator><dc:creator>Miller, Melanie J</dc:creator><dc:creator>Aisen, Paul S</dc:creator><dc:creator>Albala, Bruce</dc:creator><dc:creator>Beckett, Laurel A</dc:creator><dc:creator>Green, Robert C</dc:creator><dc:creator>Harvey, Danielle</dc:creator><dc:creator>Jack, Clifford R</dc:creator><dc:creator>Jagust, William</dc:creator><dc:creator>Landau, Susan M</dc:creator><dc:creator>Morris, John C</dc:creator><dc:creator>Nosheny, Rachel</dc:creator><dc:creator>Okonkwo, Ozioma C</dc:creator><dc:creator>Perrin, Richard J</dc:creator><dc:creator>Petersen, Ronald C</dc:creator><dc:creator>Rivera‐Mindt, Monica</dc:creator><dc:creator>Saykin, Andrew J</dc:creator><dc:creator>Shaw, Leslie M</dc:creator><dc:creator>Toga, Arthur W</dc:creator><dc:creator>Tosun, Duygu</dc:creator><dc:creator>Trojanowski, John Q</dc:creator><dc:creator>Initiative, Alzheimer's Disease Neuroimaging</dc:creator><dc:date>2023-01-01</dc:date><dc:description>INTRODUCTION: The Alzheimer's Disease Neuroimaging Initiative (ADNI) aims to validate biomarkers for Alzheimer's disease (AD) clinical trials. To improve generalizability, ADNI4 aims to enroll 50-60% of its new participants from underrepresented populations (URPs) using new biofluid and digital technologies. ADNI4 has received funding from the National Institute on Aging beginning September 2022.
METHODS: ADNI4 will recruit URPs using community-engaged approaches. An online portal will screen 20,000 participants, 4000 of whom (50-60% URPs) will be tested for plasma biomarkers and APOE. From this, 500 new participants will undergo in-clinic assessment joining 500 ADNI3 rollover participants. Remaining participants (∼3500) will undergo longitudinal plasma and digital cognitive testing. ADNI4 will add MRI sequences and new PET tracers. Project 1 will optimize biomarkers in AD clinical trials.
RESULTS AND DISCUSSION: ADNI4 will improve generalizability of results, use remote digital and blood screening, and continue providing longitudinal clinical, biomarker, and autopsy data to investigators.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3202 Clinical Sciences (for-2020)</dc:subject><dc:subject>Health Disparities and Racial or Ethnic Minority Health Research (rcdc)</dc:subject><dc:subject>Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) (rcdc)</dc:subject><dc:subject>Acquired Cognitive Impairment (rcdc)</dc:subject><dc:subject>Clinical Trials and Supportive Activities (rcdc)</dc:subject><dc:subject>Biomedical Imaging (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Minority Health (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Alzheimer's Disease (rcdc)</dc:subject><dc:subject>Health Disparities (rcdc)</dc:subject><dc:subject>Dementia (rcdc)</dc:subject><dc:subject>Neurodegenerative (rcdc)</dc:subject><dc:subject>Aging (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac)</dc:subject><dc:subject>4.5 Resources and infrastructure (detection) (hrcs-rac)</dc:subject><dc:subject>Neurological (hrcs-hc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Alzheimer Disease (mesh)</dc:subject><dc:subject>Community Participation (mesh)</dc:subject><dc:subject>Stakeholder Participation (mesh)</dc:subject><dc:subject>Neuroimaging (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Cognitive Dysfunction (mesh)</dc:subject><dc:subject>Amyloid beta-Peptides (mesh)</dc:subject><dc:subject>Alzheimer's disease</dc:subject><dc:subject>amyloid</dc:subject><dc:subject>cerebrovascular disease</dc:subject><dc:subject>digital biomarkers</dc:subject><dc:subject>generalizability</dc:subject><dc:subject>mild cognitive impairment</dc:subject><dc:subject>plasma biomarkers</dc:subject><dc:subject>tau</dc:subject><dc:subject>underrepresented populations</dc:subject><dc:subject>Alzheimer's Disease Neuroimaging Initiative</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Alzheimer Disease (mesh)</dc:subject><dc:subject>Amyloid beta-Peptides (mesh)</dc:subject><dc:subject>Neuroimaging (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Community Participation (mesh)</dc:subject><dc:subject>Cognitive Dysfunction (mesh)</dc:subject><dc:subject>Stakeholder Participation (mesh)</dc:subject><dc:subject>Alzheimer's disease</dc:subject><dc:subject>amyloid</dc:subject><dc:subject>cerebrovascular disease</dc:subject><dc:subject>digital biomarkers</dc:subject><dc:subject>generalizability</dc:subject><dc:subject>mild cognitive impairment</dc:subject><dc:subject>plasma biomarkers</dc:subject><dc:subject>tau</dc:subject><dc:subject>underrepresented populations</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Alzheimer Disease (mesh)</dc:subject><dc:subject>Community Participation (mesh)</dc:subject><dc:subject>Stakeholder Participation (mesh)</dc:subject><dc:subject>Neuroimaging (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Cognitive Dysfunction (mesh)</dc:subject><dc:subject>Amyloid beta-Peptides (mesh)</dc:subject><dc:subject>1103 Clinical Sciences (for)</dc:subject><dc:subject>1109 Neurosciences (for)</dc:subject><dc:subject>Geriatrics (science-metrix)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:subject>5202 Biological psychology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY-NC</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7br8n7s3</dc:identifier><dc:identifier>https://escholarship.org/content/qt7br8n7s3/qt7br8n7s3.pdf</dc:identifier><dc:identifier>info:doi/10.1002/alz.12797</dc:identifier><dc:type>article</dc:type><dc:source>Alzheimer's &amp; Dementia, vol 19, iss 1</dc:source><dc:coverage>307 - 317</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt97d6f0wc</identifier><datestamp>2026-07-31T10:50:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt97d6f0wc</dc:identifier><dc:title>Defunding SNAP-Ed: The Impact on California’s Health Departments &amp;amp; Communities</dc:title><dc:creator>Linares, Amanda</dc:creator><dc:creator>Vasicsek, Reka</dc:creator><dc:creator>Hewawitharana, Sridharshi</dc:creator><dc:creator>Brown, Miranda W</dc:creator><dc:date>2026-07-01</dc:date><dc:description>This Nutrition Policy Institute research brief outlines the impacts of the defunding of SNAP-Ed on statewide nutrition and physical activity programming, as shared by representatives of the California Department of Public Health and local health departments across the state.</dc:description><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/97d6f0wc</dc:identifier><dc:identifier>https://escholarship.org/content/qt97d6f0wc/qt97d6f0wc.pdf</dc:identifier><dc:identifier>info:doi/10.82922/B24W2G</dc:identifier><dc:type>article</dc:type><dc:source>University of California, Agriculture and Natural Resources, Nutrition Policy Institute</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4br5t0gs</identifier><datestamp>2026-07-31T10:46:55Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4br5t0gs</dc:identifier><dc:title>Peripheral tau as a biomarker for neurodegenerative diseases: is life on Earth, life on Mars?</dc:title><dc:creator>Dugger, Brittany N</dc:creator><dc:creator>Harvey, Danielle</dc:creator><dc:creator>Beach, Thomas G</dc:creator><dc:creator>Adler, Charles H</dc:creator><dc:date>2022-08-27</dc:date><dc:description>This scientific commentary refers to ‘Tau protein quantification in skin biopsies differentiates tauopathies from alpha-synucleinopathies’ by Vacchi et al. (https://doi.org/10.1093/brain/awac161).</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>52 Psychology (for-2020)</dc:subject><dc:subject>Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) (rcdc)</dc:subject><dc:subject>Dementia (rcdc)</dc:subject><dc:subject>Aging (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Frontotemporal Dementia (FTD) (rcdc)</dc:subject><dc:subject>Neurodegenerative (rcdc)</dc:subject><dc:subject>Alzheimer's Disease Related Dementias (ADRD) (rcdc)</dc:subject><dc:subject>Alzheimer's Disease (rcdc)</dc:subject><dc:subject>Acquired Cognitive Impairment (rcdc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Biopsy (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Neurodegenerative Diseases (mesh)</dc:subject><dc:subject>Synucleinopathies (mesh)</dc:subject><dc:subject>Tauopathies (mesh)</dc:subject><dc:subject>tau Proteins (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Neurodegenerative Diseases (mesh)</dc:subject><dc:subject>Tauopathies (mesh)</dc:subject><dc:subject>tau Proteins (mesh)</dc:subject><dc:subject>Biopsy (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Synucleinopathies (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Biopsy (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Neurodegenerative Diseases (mesh)</dc:subject><dc:subject>Synucleinopathies (mesh)</dc:subject><dc:subject>Tauopathies (mesh)</dc:subject><dc:subject>tau Proteins (mesh)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:subject>17 Psychology and Cognitive Sciences (for)</dc:subject><dc:subject>Neurology &amp; Neurosurgery (science-metrix)</dc:subject><dc:subject>32 Biomedical and clinical sciences (for-2020)</dc:subject><dc:subject>42 Health sciences (for-2020)</dc:subject><dc:subject>52 Psychology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4br5t0gs</dc:identifier><dc:identifier>https://escholarship.org/content/qt4br5t0gs/qt4br5t0gs.pdf</dc:identifier><dc:identifier>info:doi/10.1093/brain/awac281</dc:identifier><dc:type>article</dc:type><dc:source>Brain, vol 145, iss 8</dc:source><dc:coverage>2629 - 2631</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3zt8m8ms</identifier><datestamp>2026-07-31T10:43:50Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3zt8m8ms</dc:identifier><dc:title>A system-wide snapshot: A multi-campus survey of open source contributors at the University of California</dc:title><dc:creator>Scarlett, Virginia T</dc:creator><dc:creator>Curty, Renata Gonçalves</dc:creator><dc:creator>Gomez, Juanita</dc:creator><dc:creator>Langdon, Laura</dc:creator><dc:creator>Janée, Greg</dc:creator><dc:creator>Budden, Amber E</dc:creator><dc:contributor>Traag, Vincent Antonio</dc:contributor><dc:date>2026-06-05</dc:date><dc:description>Academic open source contributors face a wide array of challenges, making it difficult for universities, support staff, and funders to determine which needs they should prioritize. To help address this problem, the University of California (UC) Open Source Program Office (OSPO) Network conducted a multi-campus survey of open source contributors and aspiring contributors. The goals of this survey were two-fold. First, we aimed to understand the needs of university open source contributors, so that we might design programs to address those needs. Second, we sought to characterize open source activity on campus, in order to assess the value of an OSPO. We received 294 valid responses from students, faculty, researchers, and staff. 93% of students and 92% of researchers report that open source software is important for their work. 58% of experienced open source contributors have served as project maintainers, indicating that a large number of university affiliates not only use open source software, they also build and maintain it. The most common challenge is lack of time, particularly time for writing documentation. Regarding opportunities for support, respondents strongly prioritized access to robust computing environments and dedicated grants for sustainability. Finally, comments revealed that institutional norms and priorities can sometimes impede contribution. The survey findings reveal diverse needs across contributor groups, with resources, infrastructure, and culture all playing a role. At the same time, the abundance of maintainers, the prevalence of time and funding-related challenges, and the comments regarding maintenance all underscore a critical need for support for open source sustainability. We conclude by recommending actionable strategies universities can adopt to incorporate sustainability into their open source initiatives. We expect the findings to extend beyond OSPOs to benefit scholars of open source and research software more broadly, providing empirical insights into open source participation and sustainability in academic contexts.</dc:description><dc:subject>46 Information and Computing Sciences (for-2020)</dc:subject><dc:subject>4610 Library and Information Studies (for-2020)</dc:subject><dc:subject>Generic health relevance (hrcs-hc)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Universities (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>California (mesh)</dc:subject><dc:subject>Surveys and Questionnaires (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>California (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>Surveys and Questionnaires (mesh)</dc:subject><dc:subject>Universities (mesh)</dc:subject><dc:subject>General Science &amp; Technology (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3zt8m8ms</dc:identifier><dc:identifier>https://escholarship.org/content/qt3zt8m8ms/qt3zt8m8ms.pdf</dc:identifier><dc:identifier>info:doi/10.1371/journal.pone.0348894</dc:identifier><dc:type>article</dc:type><dc:source>PLOS ONE, vol 21, iss 6</dc:source><dc:coverage>e0348894</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8274g9tp</identifier><datestamp>2026-07-31T10:34:30Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8274g9tp</dc:identifier><dc:title>Association of maternal fish consumption and ω-3 supplement use during pregnancy with child autism-related outcomes: results from a cohort consortium analysis</dc:title><dc:creator>Lyall, Kristen</dc:creator><dc:creator>Westlake, Matt</dc:creator><dc:creator>Musci, Rashelle J</dc:creator><dc:creator>Gachigi, Kennedy</dc:creator><dc:creator>Barrett, Emily S</dc:creator><dc:creator>Bastain, Theresa M</dc:creator><dc:creator>Bush, Nicole R</dc:creator><dc:creator>Buss, Claudia</dc:creator><dc:creator>Camargo, Carlos A</dc:creator><dc:creator>Croen, Lisa A</dc:creator><dc:creator>Dabelea, Dana</dc:creator><dc:creator>Dunlop, Anne L</dc:creator><dc:creator>Elliott, Amy J</dc:creator><dc:creator>Ferrara, Assiamira</dc:creator><dc:creator>Ghassabian, Akhgar</dc:creator><dc:creator>Gern, James E</dc:creator><dc:creator>Hare, Marion E</dc:creator><dc:creator>Hertz-Picciotto, Irva</dc:creator><dc:creator>Hipwell, Alison E</dc:creator><dc:creator>Hockett, Christine W</dc:creator><dc:creator>Karagas, Margaret R</dc:creator><dc:creator>Lugo-Candelas, Claudia</dc:creator><dc:creator>O’Connor, Thomas G</dc:creator><dc:creator>Schmidt, Rebecca J</dc:creator><dc:creator>Stanford, Joseph B</dc:creator><dc:creator>Straughen, Jennifer K</dc:creator><dc:creator>Shuster, Coral L</dc:creator><dc:creator>Wright, Robert O</dc:creator><dc:creator>Wright, Rosalind J</dc:creator><dc:creator>Zhao, Qi</dc:creator><dc:creator>Oken, Emily</dc:creator><dc:creator>Outcomes, program collaborators for Environmental influences on Child Health</dc:creator><dc:creator>Components, ECHO</dc:creator><dc:creator>Center, Coordinating</dc:creator><dc:creator>Smith, PB</dc:creator><dc:creator>Newby, KL</dc:creator><dc:creator>Center, Data Analysis</dc:creator><dc:creator>Jacobson, LP</dc:creator><dc:creator>Catellier, DJ</dc:creator><dc:creator>Core, Person-Reported Outcomes</dc:creator><dc:creator>Gershon, R</dc:creator><dc:creator>Cella, D</dc:creator><dc:creator>Awardees and Cohorts, ECHO</dc:creator><dc:creator>Alshawabkeh, AN</dc:creator><dc:creator>Cordero, J</dc:creator><dc:creator>Meeker, J</dc:creator><dc:creator>Aschner, J</dc:creator><dc:creator>Teitelbaum, SL</dc:creator><dc:creator>Stroustrup, A</dc:creator><dc:creator>Mansbach, JM</dc:creator><dc:creator>Spergel, JM</dc:creator><dc:creator>Samuels-Kalow, ME</dc:creator><dc:creator>Stevenson</dc:creator><dc:creator>Bauer, CS</dc:creator><dc:creator>Mitchell, D Koinis</dc:creator><dc:creator>Deoni, S</dc:creator><dc:creator>D’Sa, V</dc:creator><dc:creator>Duarte, CS</dc:creator><dc:creator>Monk, C</dc:creator><dc:creator>Posner, J</dc:creator><dc:creator>Canino, G</dc:creator><dc:creator>Seroogy, C</dc:creator><dc:creator>Bendixsen, C</dc:creator><dc:creator>Hertz-Picciotto, I</dc:creator><dc:creator>Keenan, K</dc:creator><dc:creator>Karr, C</dc:creator><dc:creator>Tylavsky, F</dc:creator><dc:creator>Mason, A</dc:creator><dc:creator>Zhao, Q</dc:creator><dc:creator>Sathyanarayana, S</dc:creator><dc:creator>LeWinn, KZ</dc:creator><dc:creator>Lester, B</dc:creator><dc:creator>Carter, B</dc:creator><dc:creator>Pastyrnak, S</dc:creator><dc:creator>Neal, C</dc:creator><dc:creator>Smith, L</dc:creator><dc:creator>Helderman, J</dc:creator><dc:creator>Weiss</dc:creator><dc:creator>Litonjua, A</dc:creator><dc:creator>O’Connor, G</dc:creator><dc:creator>Zeiger, R</dc:creator><dc:creator>Bacharier, L</dc:creator><dc:creator>Volk, H</dc:creator><dc:creator>Ozonoff, S</dc:creator><dc:creator>Schmidt, R</dc:creator><dc:creator>Simhan, H</dc:creator><dc:creator>Kerver, JM</dc:creator><dc:creator>Barone, C</dc:creator><dc:creator>Fussman, C</dc:creator><dc:creator>Paneth, N</dc:creator><dc:creator>Elliott, M</dc:creator><dc:creator>Ruden, D</dc:creator><dc:creator>Porucznik, C</dc:creator><dc:creator>Giardino, A</dc:creator><dc:creator>Innocenti, M</dc:creator><dc:creator>Silver, R</dc:creator><dc:creator>Conradt, E</dc:creator><dc:creator>Bosquet-Enlow, M</dc:creator><dc:creator>Huddleston, K</dc:creator><dc:creator>Nguyen, R</dc:creator><dc:date>2024-09-01</dc:date><dc:description>BACKGROUND: Prenatal fish intake is a key source of omega-3 (ω-3) polyunsaturated fatty acids needed for brain development, yet intake is generally low, and studies addressing associations with autism spectrum disorder (ASD) and related traits are lacking.
OBJECTIVE: This study aimed to examine associations of prenatal fish intake and ω-3 supplement use with both autism diagnosis and broader autism-related traits.
METHODS: Participants were drawn from 32 cohorts in the Environmental influences on Child Health Outcomes Cohort Consortium. Children were born between 1999 and 2019 and part of ongoing follow-up with data available for analysis by August 2022. Exposures included self-reported maternal fish intake and ω-3/fish oil supplement use during pregnancy. Outcome measures included parent report of clinician-diagnosed ASD and parent-reported autism-related traits measured by the Social Responsiveness Scale (SRS)-second edition (n = 3939 and v3609 for fish intake analyses, respectively; n = 4537 and n = 3925 for supplement intake analyses, respectively).
RESULTS: In adjusted regression models, relative to no fish intake, fish intake during pregnancy was associated with reduced odds of autism diagnosis (odds ratio: 0.84; 95% confidence interval [CI]: 0.77, 0.92), and a modest reduction in raw total SRS scores (β: -1.69; 95% CI: -3.3, -0.08). Estimates were similar across categories of fish consumption from "any" or "less than once per week" to "more than twice per week." For ω-3 supplement use, relative to no use, no significant associations with autism diagnosis were identified, whereas a modest relation with SRS score was suggested (β: 1.98; 95% CI: 0.33, 3.64).
CONCLUSIONS: These results extend previous work by suggesting that prenatal fish intake, but not ω-3 supplement use, may be associated with lower likelihood of both autism diagnosis and related traits. Given the low-fish intake in the United States general population and the rising autism prevalence, these findings suggest the need for better public health messaging regarding guidelines on fish intake for pregnant individuals.</dc:description><dc:subject>3215 Reproductive Medicine (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>Pregnancy (rcdc)</dc:subject><dc:subject>Nutrition (rcdc)</dc:subject><dc:subject>Complementary and Integrative Health (rcdc)</dc:subject><dc:subject>Conditions Affecting the Embryonic and Fetal Periods (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Intellectual and Developmental Disabilities (IDD) (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Autism (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Basic Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Reproductive health and childbirth (hrcs-hc)</dc:subject><dc:subject>Mental health (hrcs-hc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Fatty Acids</dc:subject><dc:subject>Omega-3 (mesh)</dc:subject><dc:subject>Dietary Supplements (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Autism Spectrum Disorder (mesh)</dc:subject><dc:subject>Seafood (mesh)</dc:subject><dc:subject>Fishes (mesh)</dc:subject><dc:subject>Prenatal Exposure Delayed Effects (mesh)</dc:subject><dc:subject>Child</dc:subject><dc:subject>Preschool (mesh)</dc:subject><dc:subject>Autistic Disorder (mesh)</dc:subject><dc:subject>Diet (mesh)</dc:subject><dc:subject>Maternal Nutritional Physiological Phenomena (mesh)</dc:subject><dc:subject>pregnancy</dc:subject><dc:subject>autism</dc:subject><dc:subject>quantitative traits</dc:subject><dc:subject>fish</dc:subject><dc:subject>omega-3 supplement</dc:subject><dc:subject>pregnancy</dc:subject><dc:subject>autism</dc:subject><dc:subject>quantitative traits</dc:subject><dc:subject>program collaborators for Environmental influences on Child Health Outcomes</dc:subject><dc:subject>ECHO Components</dc:subject><dc:subject>Coordinating Center</dc:subject><dc:subject>Data Analysis Center</dc:subject><dc:subject>Person-Reported Outcomes Core</dc:subject><dc:subject>ECHO Awardees and Cohorts</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Fishes (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Prenatal Exposure Delayed Effects (mesh)</dc:subject><dc:subject>Fatty Acids</dc:subject><dc:subject>Omega-3 (mesh)</dc:subject><dc:subject>Diet (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Autistic Disorder (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Dietary Supplements (mesh)</dc:subject><dc:subject>Seafood (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Child</dc:subject><dc:subject>Preschool (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Maternal Nutritional Physiological Phenomena (mesh)</dc:subject><dc:subject>Autism Spectrum Disorder (mesh)</dc:subject><dc:subject>autism</dc:subject><dc:subject>fish</dc:subject><dc:subject>pregnancy</dc:subject><dc:subject>quantitative traits</dc:subject><dc:subject>ω-3 supplement</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Fatty Acids</dc:subject><dc:subject>Omega-3 (mesh)</dc:subject><dc:subject>Dietary Supplements (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Autism Spectrum Disorder (mesh)</dc:subject><dc:subject>Seafood (mesh)</dc:subject><dc:subject>Fishes (mesh)</dc:subject><dc:subject>Prenatal Exposure Delayed Effects (mesh)</dc:subject><dc:subject>Child</dc:subject><dc:subject>Preschool (mesh)</dc:subject><dc:subject>Autistic Disorder (mesh)</dc:subject><dc:subject>Diet (mesh)</dc:subject><dc:subject>Maternal Nutritional Physiological Phenomena (mesh)</dc:subject><dc:subject>09 Engineering (for)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:subject>Nutrition &amp; Dietetics (science-metrix)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:subject>3210 Nutrition and dietetics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY-NC-ND</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8274g9tp</dc:identifier><dc:identifier>https://escholarship.org/content/qt8274g9tp/qt8274g9tp.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.ajcnut.2024.06.013</dc:identifier><dc:type>article</dc:type><dc:source>American Journal of Clinical Nutrition, vol 120, iss 3</dc:source><dc:coverage>583 - 592</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0c86n1h4</identifier><datestamp>2026-07-31T10:34:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0c86n1h4</dc:identifier><dc:title>Microdiversity of an Abundant Terrestrial Bacterium Encompasses Extensive Variation in Ecologically Relevant Traits</dc:title><dc:creator>Chase, Alexander B</dc:creator><dc:creator>Karaoz, Ulas</dc:creator><dc:creator>Brodie, Eoin L</dc:creator><dc:creator>Gomez-Lunar, Zulema</dc:creator><dc:creator>Martiny, Adam C</dc:creator><dc:creator>Martiny, Jennifer BH</dc:creator><dc:contributor>Zhou, Jizhong</dc:contributor><dc:date>2017-12-29</dc:date><dc:description>Much genetic diversity within a bacterial community is likely obscured by microdiversity within operational taxonomic units (OTUs) defined by 16S rRNA gene sequences. However, it is unclear how variation within this microdiversity influences ecologically relevant traits. Here, we employ a multifaceted approach to investigate microdiversity within the dominant leaf litter bacterium, Curtobacterium, which comprises 7.8% of the bacterial community at a grassland site undergoing global change manipulations. We use cultured bacterial isolates to interpret metagenomic data, collected in situ over 2&amp;nbsp;years, together with lab-based physiological assays to determine the extent of trait variation within this abundant OTU. The response of Curtobacterium to seasonal variability and the global change manipulations, specifically an increase in relative abundance under decreased water availability, appeared to be conserved across six Curtobacterium lineages identified at this site. Genomic and physiological analyses in the lab revealed that degradation of abundant polymeric carbohydrates within leaf litter, cellulose and xylan, is nearly universal across the genus, which may contribute to its high abundance in grassland leaf litter. However, the degree of carbohydrate utilization and temperature preference for this degradation varied greatly among clades. Overall, we find that traits within Curtobacterium are conserved at different phylogenetic depths. We speculate that similar to bacteria in marine systems, diverse microbes within this taxon may be structured in distinct ecotypes that are key to understanding Curtobacterium abundance and distribution in the environment.IMPORTANCE Despite the plummeting costs of sequencing, characterizing the fine-scale genetic diversity of a microbial community-and interpreting its functional importance-remains a challenge. Indeed, most studies, particularly studies of soil, assess community composition at a broad genetic level by classifying diversity into taxa (OTUs) defined by 16S rRNA sequence similarity. However, these classifications potentially obscure variation in traits that result in fine-scale ecological differentiation among closely related strains. Here, we investigated "microdiversity" in a highly diverse and poorly characterized soil system (leaf litter in a southern Californian grassland). We focused on the most abundant bacterium, Curtobacterium, which by standard methods is grouped into only one OTU. We find that the degree of carbohydrate usage and temperature preference vary within the OTU, whereas its responses to changes in precipitation are relatively uniform. These results suggest that microdiversity may be key to understanding how soil bacterial diversity is linked to ecosystem functioning.</dc:description><dc:subject>3107 Microbiology (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>3103 Ecology (for-2020)</dc:subject><dc:subject>Genetics (rcdc)</dc:subject><dc:subject>Actinobacteria (mesh)</dc:subject><dc:subject>Biological Variation</dc:subject><dc:subject>Population (mesh)</dc:subject><dc:subject>Cellulose (mesh)</dc:subject><dc:subject>DNA</dc:subject><dc:subject>Bacterial (mesh)</dc:subject><dc:subject>DNA</dc:subject><dc:subject>Ribosomal (mesh)</dc:subject><dc:subject>Environmental Microbiology (mesh)</dc:subject><dc:subject>Genetic Variation (mesh)</dc:subject><dc:subject>Metagenome (mesh)</dc:subject><dc:subject>RNA</dc:subject><dc:subject>Ribosomal</dc:subject><dc:subject>16S (mesh)</dc:subject><dc:subject>Sequence Analysis</dc:subject><dc:subject>DNA (mesh)</dc:subject><dc:subject>Xylans (mesh)</dc:subject><dc:subject>Actinobacteria</dc:subject><dc:subject>Curtobacterium</dc:subject><dc:subject>Microbacteriaceae</dc:subject><dc:subject>drought</dc:subject><dc:subject>ecotypes</dc:subject><dc:subject>glycoside hydrolases</dc:subject><dc:subject>nitrogen addition</dc:subject><dc:subject>Actinobacteria (mesh)</dc:subject><dc:subject>Cellulose (mesh)</dc:subject><dc:subject>Xylans (mesh)</dc:subject><dc:subject>DNA</dc:subject><dc:subject>Bacterial (mesh)</dc:subject><dc:subject>DNA</dc:subject><dc:subject>Ribosomal (mesh)</dc:subject><dc:subject>RNA</dc:subject><dc:subject>Ribosomal</dc:subject><dc:subject>16S (mesh)</dc:subject><dc:subject>Sequence Analysis</dc:subject><dc:subject>DNA (mesh)</dc:subject><dc:subject>Environmental Microbiology (mesh)</dc:subject><dc:subject>Genetic Variation (mesh)</dc:subject><dc:subject>Metagenome (mesh)</dc:subject><dc:subject>Biological Variation</dc:subject><dc:subject>Population (mesh)</dc:subject><dc:subject>Actinobacteria</dc:subject><dc:subject>Curtobacterium</dc:subject><dc:subject>Microbacteriaceae</dc:subject><dc:subject>drought</dc:subject><dc:subject>ecotypes</dc:subject><dc:subject>glycoside hydrolases</dc:subject><dc:subject>nitrogen addition</dc:subject><dc:subject>Actinobacteria (mesh)</dc:subject><dc:subject>Biological Variation</dc:subject><dc:subject>Population (mesh)</dc:subject><dc:subject>Cellulose (mesh)</dc:subject><dc:subject>DNA</dc:subject><dc:subject>Bacterial (mesh)</dc:subject><dc:subject>DNA</dc:subject><dc:subject>Ribosomal (mesh)</dc:subject><dc:subject>Environmental Microbiology (mesh)</dc:subject><dc:subject>Genetic Variation (mesh)</dc:subject><dc:subject>Metagenome (mesh)</dc:subject><dc:subject>RNA</dc:subject><dc:subject>Ribosomal</dc:subject><dc:subject>16S (mesh)</dc:subject><dc:subject>Sequence Analysis</dc:subject><dc:subject>DNA (mesh)</dc:subject><dc:subject>Xylans (mesh)</dc:subject><dc:subject>0605 Microbiology (for)</dc:subject><dc:subject>3101 Biochemistry and cell biology (for-2020)</dc:subject><dc:subject>3107 Microbiology (for-2020)</dc:subject><dc:subject>3207 Medical microbiology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0c86n1h4</dc:identifier><dc:identifier>https://escholarship.org/content/qt0c86n1h4/qt0c86n1h4.pdf</dc:identifier><dc:identifier>info:doi/10.1128/mbio.01809-17</dc:identifier><dc:type>article</dc:type><dc:source>mBio, vol 8, iss 6</dc:source><dc:coverage>10.1128/mbio.01809 - 10.1128/mbio.01817</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7z02r37w</identifier><datestamp>2026-07-31T10:26:27Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7z02r37w</dc:identifier><dc:title>A New Era for Shared Access and Print Management - From Regional to Systemwide Library Facilities</dc:title><dc:creator>Tanji, Lorelei</dc:creator><dc:creator>Wones, Suzanne</dc:creator><dc:creator>Jackson, Athena</dc:creator><dc:creator>Wohlers, Alison</dc:creator><dc:date>2025-10-22</dc:date><dc:description>The Northern and Southern Regional Library Facilities (the RLFs) were established in the 1980s to cost-effectively preserve and provide continuing access to UC’s library collections. By design, these facilities and their expert teams directly advance UC’s academic mission, while lessening campus space crises and securing significant operational efficiencies at scale. Now, an important strategic and operational transition is underway to transform the RLFs into fully Systemwide Library Facilities (SLFs). This transformation is a direct reflection of the value of these facilities to the long-term goals and resiliency of the UC Libraries. A panel of UC leaders will come together to present on the path that led to this key strategic shift, how it reinforces critical infrastructure, and the opportunities for UC Libraries moving into the future – both internally and in partnership with libraries across the country.</dc:description><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7z02r37w</dc:identifier><dc:identifier>https://escholarship.org/content/qt7z02r37w/qt7z02r37w.pdf</dc:identifier><dc:type>article</dc:type></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt67n589v3</identifier><datestamp>2026-07-31T10:26:24Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt67n589v3</dc:identifier><dc:title>Preserving Endangered and Unique Government Information</dc:title><dc:creator>Kasianovitz, Kris</dc:creator><dc:creator>Stine, Kathryn</dc:creator><dc:creator>Janée, Greg</dc:creator><dc:creator>Brun, Julien</dc:creator><dc:creator>Pendse, Liladhar R.</dc:creator><dc:date>2025-10-23</dc:date><dc:description>Includes three presentations of 15 minutes each. A presentation describing partnership between the Institute of Governmental Studies (IGS) Library and the Internet Archive on a large-scale digitization project known as the Local Government Documents Digitization Project (LoCAL Dig Project). A presentation outlining the importance of making research data trustworthy and FAIR (Findable, Accessible, Interoperable, Reusable) alongside a description of a collaboration between UC Santa Barbara and the National Center for Ecological Analysis and Synthesis (NCEAS) to establish a library-centered rescue effort (not recorded). An overview of a collaborative initiative to address threats posed to Ukrainian state records through web archiving using platforms such as the Internet Archive.</dc:description><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/67n589v3</dc:identifier><dc:identifier>https://escholarship.org/content/qt67n589v3/qt67n589v3.pdf</dc:identifier><dc:type>article</dc:type></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1jr6b12f</identifier><datestamp>2026-07-31T10:26:20Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1jr6b12f</dc:identifier><dc:title>Research Amongst the Redwoods: Archival Training and Mentorship for Students in UCSC’s Special Collections and Archives</dc:title><dc:creator>Norton, Alix</dc:creator><dc:creator>Knox, Kelsey</dc:creator><dc:creator>Gudmundson, Emily</dc:creator><dc:creator>Berry, Annika</dc:creator><dc:creator>Havstad, Lou</dc:creator><dc:date>2025-10-23</dc:date><dc:description>UC Santa Cruz Special Collections and Archives has a rich tradition of engaging students across disciplines in archival practice through programs designed for both graduates and undergraduates. Celebrating its 10th anniversary this year, the Center for Archival Research and Training (CART) supports graduate student development through immersion in archival processing, research, and exhibition curation, while new models like our Undergraduate Internship Program aims to provide a similar experience to an undergraduate interested in pursuing graduate education in libraries and archives. Through these programs, archivists collaborate and share expertise in order to provide meaningful, practical experiences to students, while students share their content expertise in helping to make our archival collections accessible through collection guides and exhibitions.The panel will include both archivists and students, who will present on three case studies: 1) processing the papers and digital files of UCSC Distinguished Professor Emerita Donna Haraway by the current graduate fellow in CART; 2) an undergraduate intern making student activism and protest materials accessible through a finding aid and an exhibit; and 3) training graduate students to assist in processing the records of Dolores Huerta and the Huerta Foundation during an intensive alternative spring break program affiliated with CART. Panelists will also discuss our approaches to mentorship and encouraging the career development of students interested in archives, including those who go on to pursue MLIS degrees after their time at UC Santa Cruz.</dc:description><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1jr6b12f</dc:identifier><dc:identifier>https://escholarship.org/content/qt1jr6b12f/qt1jr6b12f.pdf</dc:identifier><dc:type>article</dc:type></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt01c7c69w</identifier><datestamp>2026-07-31T10:26:17Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt01c7c69w</dc:identifier><dc:title>Standing Up for Colleagues by Creating Inclusive Spaces and Growth Opportunities</dc:title><dc:creator>Miraglia, Elizabeth</dc:creator><dc:creator>Saber-Bilder, Luna</dc:creator><dc:creator>Garcia Mazari, Sheila</dc:creator><dc:creator>Hare, Sarah</dc:creator><dc:creator>Crumrine, Seth</dc:creator><dc:creator>Tranfield, Wynn</dc:creator><dc:creator>Norton, Alix</dc:creator><dc:creator>Wilmot, Moni</dc:creator><dc:date>2025-10-21</dc:date><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/01c7c69w</dc:identifier><dc:identifier>https://escholarship.org/content/qt01c7c69w/qt01c7c69w.pdf</dc:identifier><dc:type>article</dc:type></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8d04g3cn</identifier><datestamp>2026-07-31T10:26:12Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8d04g3cn</dc:identifier><dc:title>The Importance of Accounting for Landscape Position When Investigating Grasslands: A Multidisciplinary Characterisation of a California Coastal Grassland</dc:title><dc:creator>Rowley, Mike C</dc:creator><dc:creator>Falco, Nicola</dc:creator><dc:creator>Pegoraro, Elaine</dc:creator><dc:creator>Dafflon, Baptiste</dc:creator><dc:creator>Gerlein‐Safdi, Cynthia</dc:creator><dc:creator>Wu, Yuxin</dc:creator><dc:creator>Castanha, Cristina</dc:creator><dc:creator>Peña, Jasquelin</dc:creator><dc:creator>Nico, Peter S</dc:creator><dc:creator>Torn, Margaret S</dc:creator><dc:date>2024-06-01</dc:date><dc:description>Abstract  Grasslands are one of the most common land‐cover types, providing important ecosystem services globally, yet few studies have examined grassland critical‐zone functioning throughout hillslopes. This study characterised a coastal grassland over a small hillslope at Point Reyes National Seashore, California, using multidisciplinary techniques, combining remotely‐sensed, geophysical, plant, and soil measurements. Clustering techniques delineated the study area into four landscape zones, up‐, mid‐, and down‐slope, and a bordering riparian ecotone, which had distinct environmental properties that varied spatially across the site, with depth, and time. Soil moisture increased with depth and down slope towards a bordering riparian zone, and co‐varied with soil CO 2 flux rates both spatially and temporally. This highlighted three distinct controls of soil moisture on soil respiration: CO 2 fluxes were inhibited by high moisture content in the down‐slope during the wet winter months, and converged across landscape positions in the dry summer months, while also displaying post‐rain pulses. The normalised difference vegetation index (NDVI) ranged from 0.32 (September)–0.80 (April) and correlated positively with soil moisture and aboveground biomass, moving down slope. Yet, NDVI, aboveground biomass, and soil moisture were not correlated to soil organic carbon (SOC) content (0.4%–4.5%), which was highest in the mid‐slope. The SOC content may instead be linked to shifts in dominant grassland species and their rhizosphere properties with landscape position. This multidisciplinary characterisation highlighted significant heterogeneity in grassland properties with landscape position, and demonstrated an approach that could be used to characterise other critical‐zone environments on hillslopes. 
Plain Language Summary Globally, grasslands are both common and important landscapes, but less studies have investigated the influence of hillslope processes on these environments and their properties. This study investigated a coastal grassland on a hillslope at Point Reyes National Seashore, California, by combining data sets from different disciplines, covering satellite, field, and laboratory measurements. The site could be grouped into four environmental zones with different properties along the hillslope. Satellite measurements revealed that plants were more active in the wetter, down‐slope throughout the dry summer months. Soil carbon content was not linked directly to soil moisture. Yet, soil carbon dioxide emissions were related to soil moisture, displaying three different behaviors depending on the moisture level. First, soil carbon dioxide emission was lower in the down‐slope during the wet months (negative relationship), but then behaved similarly at all slope locations during the summer and early fall, and increased when it rained (positive relationship). The clustering analysis showed that our site varied significantly over a small distance (&amp;lt;8&amp;nbsp;m elevation and 150&amp;nbsp;m distance) and time (1&amp;nbsp;yr). Beyond the investigation of this specific site, this study highlights an approach for combining data sets to study ecosystems along hillslopes.
Key Points    The study used a critical‐zone approach to combine multidisciplinary data sets and characterise a California coastal grassland   Heterogeneity was large over a short distance (&amp;lt;150&amp;nbsp;m) and time (1&amp;nbsp;yr) and could be clustered by landscape position into four distinct zones    Soil CO 2 fluxes exhibited contrasting responses to soil moisture, which differed with slope and season at the grassland</dc:description><dc:subject>3707 Hydrology (for-2020)</dc:subject><dc:subject>3702 Climate Change Science (for-2020)</dc:subject><dc:subject>37 Earth Sciences (for-2020)</dc:subject><dc:subject>critical-zone approach</dc:subject><dc:subject>landscape cluster analysis</dc:subject><dc:subject>soil carbon dioxide fluxes</dc:subject><dc:subject>NDVI</dc:subject><dc:subject>soil organic carbon content</dc:subject><dc:subject>soil moisture content</dc:subject><dc:subject>0401 Atmospheric Sciences (for)</dc:subject><dc:subject>0406 Physical Geography and Environmental Geoscience (for)</dc:subject><dc:subject>0502 Environmental Science and Management (for)</dc:subject><dc:subject>3702 Climate change science (for-2020)</dc:subject><dc:subject>3707 Hydrology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8d04g3cn</dc:identifier><dc:identifier>https://escholarship.org/content/qt8d04g3cn/qt8d04g3cn.pdf</dc:identifier><dc:identifier>info:doi/10.1029/2023ef004208</dc:identifier><dc:type>article</dc:type><dc:source>Earth's Future, vol 12, iss 6</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9ht6z28p</identifier><datestamp>2026-07-31T10:25:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9ht6z28p</dc:identifier><dc:title>Redox Fluctuations Control the Coupled Cycling of Iron and Carbon in Tropical Forest Soils</dc:title><dc:creator>Bhattacharyya, Amrita</dc:creator><dc:creator>Campbell, Ashley N</dc:creator><dc:creator>Tfaily, Malak M</dc:creator><dc:creator>Lin, Yang</dc:creator><dc:creator>Kukkadapu, Ravi K</dc:creator><dc:creator>Silver, Whendee L</dc:creator><dc:creator>Nico, Peter S</dc:creator><dc:creator>Pett-Ridge, Jennifer</dc:creator><dc:date>2018-12-18</dc:date><dc:description>Oscillating redox conditions are a common feature of humid tropical forest soils, driven by an ample supply and dynamics of reductants, high moisture, microbial oxygen consumption, and finely textured clays that limit diffusion. However, the net result of variable soil redox regimes on iron (Fe) mineral dynamics and associated carbon (C) forms and fluxes is poorly understood in tropical soils. Using a 44-day redox incubation experiment with humid tropical forest soils from Puerto Rico, we examined patterns in Fe and C transformations under four redox regimes: static anoxic, "flux 4-day" (4d oxic, 4d anoxic), "flux 8-day" (8d oxic, 4d anoxic) and static oxic. Prolonged anoxia promoted reductive dissolution of Fe-oxides, and led to an increase in soluble Fe(II) and amorphous Fe oxide pools. Preferential dissolution of the less-crystalline Fe pool was evident immediately following a shift in bulk redox status (oxic to anoxic), and coincided with increased dissolved organic C, presumably due to acidification or direct release of organic matter (OM) from dissolving Fe(III) mineral phases. The average nominal oxidation state of water-soluble C was lowest under persistent anoxic conditions, suggesting that more reduced organic compounds were metabolically unavailable for microbial consumption under reducing conditions. Anoxic soil compounds had high H/C values (and were similar to lignin-like compounds) whereas oxic soil compounds had higher O/C values, akin to tannin- and cellulose-like components. Cumulative respiration derived from native soil organic C was highest in static oxic soils. These results show how Fe minerals and Fe-OM interactions in tropical soils are highly sensitive to variable redox effects. Shifting soil oxygen availability rapidly impacted exchanges between mineral-sorbed and aqueous C pools, increased the dissolved organic C pool under anoxic conditions implying that the periodicity of low-redox events may control the fate of C in wet tropical soils.</dc:description><dc:subject>37 Earth Sciences (for-2020)</dc:subject><dc:subject>3703 Geochemistry (for-2020)</dc:subject><dc:subject>Carbon (mesh)</dc:subject><dc:subject>Forests (mesh)</dc:subject><dc:subject>Iron (mesh)</dc:subject><dc:subject>Oxidation-Reduction (mesh)</dc:subject><dc:subject>Puerto Rico (mesh)</dc:subject><dc:subject>Soil (mesh)</dc:subject><dc:subject>Carbon (mesh)</dc:subject><dc:subject>Iron (mesh)</dc:subject><dc:subject>Soil (mesh)</dc:subject><dc:subject>Oxidation-Reduction (mesh)</dc:subject><dc:subject>Puerto Rico (mesh)</dc:subject><dc:subject>Forests (mesh)</dc:subject><dc:subject>Carbon (mesh)</dc:subject><dc:subject>Forests (mesh)</dc:subject><dc:subject>Iron (mesh)</dc:subject><dc:subject>Oxidation-Reduction (mesh)</dc:subject><dc:subject>Puerto Rico (mesh)</dc:subject><dc:subject>Soil (mesh)</dc:subject><dc:subject>Environmental Sciences (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9ht6z28p</dc:identifier><dc:identifier>https://escholarship.org/content/qt9ht6z28p/qt9ht6z28p.pdf</dc:identifier><dc:identifier>info:doi/10.1021/acs.est.8b03408</dc:identifier><dc:type>article</dc:type><dc:source>Environmental Science and Technology, vol 52, iss 24</dc:source><dc:coverage>14129 - 14139</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0g56d7z5</identifier><datestamp>2026-07-31T10:17:33Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0g56d7z5</dc:identifier><dc:title>“Esa paz blanca, esa paz de muerte”: tiempos de paz, tiempos de guerra y el cronos negro imposible en el posconflicto colombiano</dc:title><dc:creator>Amparo Alves, Jaime</dc:creator><dc:date>2020-11-24</dc:date><dc:description>El 24 de agosto de 2016, el presidente colombiano Juan Manuel Santos anunció el final formal de una guerra de cincuenta años con las Fuerzas Armadas Revolucionarias de Colombia (FARC). Esta guerrilla acordó deponer las armas y participar en las elecciones generales de 2018. Desde entonces, casi seiscientos activistas han sido asesinados, la violencia homicida contra la juventud urbana no dejó de crecer y el prospecto de paz positiva en los territorios negros e indígenas es esquivo. En este contexto, el artículo examina dos preguntas: ¿cómo entender la transición a la paz cuando los tiempos de guerra y los tiempos de paz son experimentados como evento a‐temporal según la alteridad racial de los sujetos? ¿Pueden los marcos normativos de conflicto/posconflicto explicar la transhistoricidad de la experiencia negra en sociedades de la diáspora africana?</dc:description><dc:subject>43 History</dc:subject><dc:subject>Heritage and Archaeology (for-2020)</dc:subject><dc:subject>44 Human Society (for-2020)</dc:subject><dc:subject>4301 Archaeology (for-2020)</dc:subject><dc:subject>4401 Anthropology (for-2020)</dc:subject><dc:subject>4404 Development Studies (for-2020)</dc:subject><dc:subject>antiblackness</dc:subject><dc:subject>impossible chronos</dc:subject><dc:subject>afterlife of slavery</dc:subject><dc:subject>post conflict Colombia</dc:subject><dc:subject>1601 Anthropology (for)</dc:subject><dc:subject>2004 Linguistics (for)</dc:subject><dc:subject>2101 Archaeology (for)</dc:subject><dc:subject>4301 Archaeology (for-2020)</dc:subject><dc:subject>4401 Anthropology (for-2020)</dc:subject><dc:subject>4404 Development studies (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0g56d7z5</dc:identifier><dc:identifier>https://escholarship.org/content/qt0g56d7z5/qt0g56d7z5.pdf</dc:identifier><dc:identifier>info:doi/10.22380/2539472x.1877</dc:identifier><dc:type>article</dc:type></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4pr241mg</identifier><datestamp>2026-07-31T10:12:57Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4pr241mg</dc:identifier><dc:title>An Antigen‐Delivery Protein Nanoparticle Combined with Anti‐PD‐1 Checkpoint Inhibitor Has Curative Efficacy in an Aggressive Melanoma Model</dc:title><dc:creator>Neek, Medea</dc:creator><dc:creator>Tucker, Jo Anne</dc:creator><dc:creator>Butkovich, Nina</dc:creator><dc:creator>Nelson, Edward L</dc:creator><dc:creator>Wang, Szu‐Wen</dc:creator><dc:date>2020-12-01</dc:date><dc:description>Immune checkpoint inhibition is a promising alternative treatment to standard chemotherapies; however, it fails to achieve long-term remission in a significant portion of patients. A previously developed protein nanoparticle-based platform (E2 nanoparticle) delivers cancer antigens to increase antigen-specific tumor responses. While prior work has focussed on prophylactic conditions, the objectives in this study are therapeutic. It is hypothesized that immune checkpoint inhibition, when augmented by antigen delivery using E2 nanoparticles containing CpG oligonucleotide 1826 (CpG) and a glycoprotein 100 (gp100) melanoma antigen epitope (CpG-gp-E2), would synergistically elicit antitumor responses. To identify a regimen primed for obtaining effective treatment results, immune benchmarks in the spleen and tumor are examined. Conditions that lead to significant immune activation, including increases in gp100-specific interferon gamma (IFN-?), CD8 T cells in the spleen, tumor-infiltrating CD8 T cells, and survival time are identified. Based on the findings, the resulting combination of CpG-gp-E2 and anti-programmed cell death protein 1 (anti-PD-1) treatment in tumor-challenged mice yield significantly increased long-term survival; more than 50% of the mice treated with combination therapy were tumor-free, compared with 0% and ≈5% for CpG-gp-E2 and anti-PD-1 alone, respectively. Evidence of a durable antitumor response is also observed upon tumor rechallenge, pointing to long-lasting immune memory.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3211 Oncology and Carcinogenesis (for-2020)</dc:subject><dc:subject>3204 Immunology (for-2020)</dc:subject><dc:subject>Bioengineering (rcdc)</dc:subject><dc:subject>Vaccine Related (rcdc)</dc:subject><dc:subject>Cancer (rcdc)</dc:subject><dc:subject>Immunization (rcdc)</dc:subject><dc:subject>Immunotherapy (rcdc)</dc:subject><dc:subject>Nanotechnology (rcdc)</dc:subject><dc:subject>Biotechnology (rcdc)</dc:subject><dc:subject>5.1 Pharmaceuticals (hrcs-rac)</dc:subject><dc:subject>Cancer (hrcs-hc)</dc:subject><dc:subject>cancer vaccines</dc:subject><dc:subject>checkpoint inhibitors</dc:subject><dc:subject>combination therapies</dc:subject><dc:subject>nanoparticles</dc:subject><dc:subject>cancer vaccines</dc:subject><dc:subject>checkpoint inhibitors</dc:subject><dc:subject>combination therapies</dc:subject><dc:subject>nanoparticles</dc:subject><dc:subject>3101 Biochemistry and cell biology (for-2020)</dc:subject><dc:subject>3206 Medical biotechnology (for-2020)</dc:subject><dc:subject>3214 Pharmacology and pharmaceutical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4pr241mg</dc:identifier><dc:identifier>https://escholarship.org/content/qt4pr241mg/qt4pr241mg.pdf</dc:identifier><dc:identifier>info:doi/10.1002/adtp.202000122</dc:identifier><dc:type>article</dc:type><dc:source>Advanced Therapeutics, vol 3, iss 12</dc:source><dc:coverage>2000122</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt41z2c0w4</identifier><datestamp>2026-07-31T10:08:44Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt41z2c0w4</dc:identifier><dc:title>Cross-Sectional Associations between Prenatal Per- and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts</dc:title><dc:creator>Suthar, Himal</dc:creator><dc:creator>Manea, Tomás</dc:creator><dc:creator>Pak, Dominic</dc:creator><dc:creator>Woodbury, Megan</dc:creator><dc:creator>Eick, Stephanie M</dc:creator><dc:creator>Cathey, Amber</dc:creator><dc:creator>Watkins, Deborah J</dc:creator><dc:creator>Strakovsky, Rita S</dc:creator><dc:creator>Ryva, Brad A</dc:creator><dc:creator>Pennathur, Subramaniam</dc:creator><dc:creator>Zeng, Lixia</dc:creator><dc:creator>Weller, David</dc:creator><dc:creator>Park, June-Soo</dc:creator><dc:creator>Smith, Sabrina</dc:creator><dc:creator>DeMicco, Erin</dc:creator><dc:creator>Padula, Amy</dc:creator><dc:creator>Fry, Rebecca C</dc:creator><dc:creator>Mukherjee, Bhramar</dc:creator><dc:creator>Aguiar, Andrea</dc:creator><dc:creator>Geiger, Sarah Dee</dc:creator><dc:creator>Ng, Shukhan</dc:creator><dc:creator>Huerta-Montanez, Gredia</dc:creator><dc:creator>Vélez-Vega, Carmen</dc:creator><dc:creator>Rosario, Zaira</dc:creator><dc:creator>Cordero, Jose F</dc:creator><dc:creator>Zimmerman, Emily</dc:creator><dc:creator>Woodruff, Tracey J</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:creator>Schantz, Susan L</dc:creator><dc:creator>Meeker, John D</dc:creator><dc:creator>Alshawabkeh, Akram N</dc:creator><dc:creator>Aung, Max T</dc:creator><dc:creator>Outcomes, on behalf of Program Collaborators for Environmental Influences on Child Health</dc:creator><dc:date>2024-05-14</dc:date><dc:description>Prenatal per- and poly-fluoroalkyl substances (PFAS) exposure may influence gestational outcomes through bioactive lipids─metabolic and inflammation pathway indicators. We estimated associations between prenatal PFAS exposure and bioactive lipids, measuring 12 serum PFAS and 50 plasma bioactive lipids in 414 pregnant women (median 17.4 weeks' gestation) from three Environmental influences on Child Health Outcomes Program cohorts. Pairwise association estimates across cohorts were obtained through linear mixed models and meta-analysis, adjusting the former for false discovery rates. Associations between the PFAS mixture and bioactive lipids were estimated using quantile g-computation. Pairwise analyses revealed bioactive lipid levels associated with PFDeA, PFNA, PFOA, and PFUdA (p &amp;lt; 0.05) across three enzymatic pathways (cyclooxygenase, cytochrome p450, lipoxygenase) in at least one combined cohort analysis, and PFOA and PFUdA (q &amp;lt; 0.2) in one linear mixed model. The strongest signature revealed doubling in PFOA corresponding with PGD2 (cyclooxygenase pathway; +24.3%, 95% CI: 7.3-43.9%) in the combined cohort. Mixture analysis revealed nine positive associations across all pathways with the PFAS mixture, the strongest signature indicating a quartile increase in the PFAS mixture associated with PGD2 (+34%, 95% CI: 8-66%), primarily driven by PFOS. Bioactive lipids emerged as prenatal PFAS exposure biomarkers, deepening insights into PFAS' influence on pregnancy outcomes.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>4206 Public Health (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>Conditions Affecting the Embryonic and Fetal Periods (rcdc)</dc:subject><dc:subject>Pregnancy (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Endocrine Disruptors (rcdc)</dc:subject><dc:subject>2.1 Biological and endogenous factors (hrcs-rac)</dc:subject><dc:subject>Reproductive health and childbirth (hrcs-hc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Lipids (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Child Health (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Cross-Sectional Studies (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Environmental Exposure (mesh)</dc:subject><dc:subject>Maternal Exposure (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>PFAS</dc:subject><dc:subject>mixtures</dc:subject><dc:subject>bioactive lipids</dc:subject><dc:subject>eicosanoids</dc:subject><dc:subject>pregnancy outcomes</dc:subject><dc:subject>inflammatory pathways</dc:subject><dc:subject>metabolic pathways</dc:subject><dc:subject>PFAS</dc:subject><dc:subject>mixtures</dc:subject><dc:subject>bioactive lipids</dc:subject><dc:subject>eicosanoids</dc:subject><dc:subject>pregnancy outcomes</dc:subject><dc:subject>inflammatory pathways</dc:subject><dc:subject>metabolic pathways</dc:subject><dc:subject>Program Collaborators for Environmental Influences on Child Health Outcomes</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Lipids (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Cross-Sectional Studies (mesh)</dc:subject><dc:subject>Environmental Exposure (mesh)</dc:subject><dc:subject>Maternal Exposure (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Child Health (mesh)</dc:subject><dc:subject>PFAS</dc:subject><dc:subject>bioactive lipids</dc:subject><dc:subject>eicosanoids</dc:subject><dc:subject>inflammatory pathways</dc:subject><dc:subject>metabolic pathways</dc:subject><dc:subject>mixtures</dc:subject><dc:subject>pregnancy outcomes</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Lipids (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Child Health (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Cross-Sectional Studies (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Environmental Exposure (mesh)</dc:subject><dc:subject>Maternal Exposure (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Environmental Sciences (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/41z2c0w4</dc:identifier><dc:identifier>https://escholarship.org/content/qt41z2c0w4/qt41z2c0w4.pdf</dc:identifier><dc:identifier>info:doi/10.1021/acs.est.4c00094</dc:identifier><dc:type>article</dc:type><dc:source>Environmental Science and Technology, vol 58, iss 19</dc:source><dc:coverage>8264 - 8277</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt73h7m9nk</identifier><datestamp>2026-07-31T09:54:44Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt73h7m9nk</dc:identifier><dc:title>Exploring applications of non-targeted analysis in the characterization of the prenatal exposome</dc:title><dc:creator>Bland, Garret D</dc:creator><dc:creator>Abrahamsson, Dimitri</dc:creator><dc:creator>Wang, Miaomiao</dc:creator><dc:creator>Zlatnik, Marya</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:creator>Park, June-Soo</dc:creator><dc:creator>Sirota, Marina</dc:creator><dc:creator>Woodruff, Tracey J</dc:creator><dc:date>2024-02-01</dc:date><dc:description>Capturing the breadth of chemical exposures in utero is critical in understanding their long-term health effects for mother and child. We explored methodological adaptations in a Non-Targeted Analysis (NTA) pipeline and evaluated the effects on chemical annotation and discovery for maternal and infant exposure. We focus on lesser-known/underreported chemicals in maternal and umbilical cord serum analyzed with liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-QTOF/MS). The samples were collected from a demographically diverse cohort of 296 maternal-cord pairs (n&amp;nbsp;=&amp;nbsp;592) recruited in San Francisco Bay area. We developed and evaluated two data processing pipelines, primarily differing by detection frequency cut-off, to extract chemical features from non-targeted analysis (NTA). We annotated the detected chemical features by matching with EPA CompTox Chemicals Dashboard (n&amp;nbsp;=&amp;nbsp;860,000 chemicals) and Human Metabolome Database (n&amp;nbsp;=&amp;nbsp;3140 chemicals) and applied a Kendrick Mass Defect filter to detect homologous series. We collected fragmentation spectra (MS/MS) on a subset of serum samples and matched to an experimental MS/MS database within the MS-Dial website and other experimental MS/MS spectra collected from standards in our lab. We annotated ~72&amp;nbsp;% of the features (total features&amp;nbsp;=&amp;nbsp;32,197, levels 1-4). We confirmed 22 compounds with analytical standards, tentatively identified 88 compounds with MS/MS spectra, and annotated 4862 exogenous chemicals with an in-house developed annotation algorithm. We detected 36 chemicals that appear to not have been previously reported in human blood and 9 chemicals that were reported in less than five studies. Our findings underline the importance of NTA in the discovery of lesser-known/unreported chemicals important to characterize human exposures.</dc:description><dc:subject>3205 Medical Biochemistry and Metabolomics (for-2020)</dc:subject><dc:subject>3401 Analytical Chemistry (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Perinatal Period - Conditions Originating in Perinatal Period (rcdc)</dc:subject><dc:subject>Endocrine Disruptors (rcdc)</dc:subject><dc:subject>2.2 Factors relating to the physical environment (hrcs-rac)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Tandem Mass Spectrometry (mesh)</dc:subject><dc:subject>Chromatography</dc:subject><dc:subject>Liquid (mesh)</dc:subject><dc:subject>Exposome (mesh)</dc:subject><dc:subject>Liquid Chromatography-Mass Spectrometry (mesh)</dc:subject><dc:subject>San Francisco (mesh)</dc:subject><dc:subject>Non-targeted analysis</dc:subject><dc:subject>Exposome</dc:subject><dc:subject>Prenatal exposure</dc:subject><dc:subject>High resolution mass spectrometry</dc:subject><dc:subject>Data pipeline</dc:subject><dc:subject>Kendrick mass defect</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Chromatography</dc:subject><dc:subject>Liquid (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>San Francisco (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Tandem Mass Spectrometry (mesh)</dc:subject><dc:subject>Exposome (mesh)</dc:subject><dc:subject>Liquid Chromatography-Mass Spectrometry (mesh)</dc:subject><dc:subject>Data pipeline</dc:subject><dc:subject>Exposome</dc:subject><dc:subject>High resolution mass spectrometry</dc:subject><dc:subject>Kendrick mass defect</dc:subject><dc:subject>Non-targeted analysis</dc:subject><dc:subject>Prenatal exposure</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Tandem Mass Spectrometry (mesh)</dc:subject><dc:subject>Chromatography</dc:subject><dc:subject>Liquid (mesh)</dc:subject><dc:subject>Exposome (mesh)</dc:subject><dc:subject>Liquid Chromatography-Mass Spectrometry (mesh)</dc:subject><dc:subject>San Francisco (mesh)</dc:subject><dc:subject>Environmental Sciences (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/73h7m9nk</dc:identifier><dc:identifier>https://escholarship.org/content/qt73h7m9nk/qt73h7m9nk.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.scitotenv.2023.169458</dc:identifier><dc:type>article</dc:type><dc:source>The Science of The Total Environment, vol 912</dc:source><dc:coverage>169458</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9r2683m4</identifier><datestamp>2026-07-31T09:54:37Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9r2683m4</dc:identifier><dc:title>Extending Nontargeted Discovery of Environmental Chemical Exposures during Pregnancy and Their Association with Pregnancy Complications—A Cross-Sectional Study</dc:title><dc:creator>Trowbridge, Jessica</dc:creator><dc:creator>Abrahamsson, Dimitri</dc:creator><dc:creator>Bland, Garret D</dc:creator><dc:creator>Jiang, Ting</dc:creator><dc:creator>Wang, Miaomiao</dc:creator><dc:creator>Park, June-Soo</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:creator>Sirota, Marina</dc:creator><dc:creator>Lee, Harim</dc:creator><dc:creator>Goin, Dana E</dc:creator><dc:creator>Zlatnik, Marya G</dc:creator><dc:creator>Woodruff, Tracey J</dc:creator><dc:date>2023-07-01</dc:date><dc:description>BACKGROUND: Nontargeted analysis (NTA) methods identify novel exposures; however, few chemicals have been quantified and interrogated with pregnancy complications.
OBJECTIVES: We characterized levels of nine exogenous and endogenous chemicals in maternal and cord blood identified, selected, and confirmed in prior NTA steps, including linear and branched isomers perfluorooctane sulfonate (PFOS), perfluorohexane sulfonate (PFHxS), monoethylhexyl phthalate, 4-nitrophenol, tetraethylene glycol, tridecanedioic acid, octadecanedioic acid, and deoxycholic acid. We evaluated relationships between maternal and cord levels and between gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy in a diverse pregnancy cohort in San Francisco.
METHODS: We collected matched maternal and cord serum samples at delivery from 302 pregnant study participants from the Chemicals in Our Bodies cohort in San Francisco. Chemicals were identified via NTA and quantified using targeted approaches. We calculated distributions and Spearman correlation coefficients testing the relationship of chemicals within and between the maternal and cord blood matrices. We used adjusted logistic regression to calculate the odds of GDM and hypertensive disorders of pregnancy associated with an interquartile range increase in maternal chemical exposures.
RESULTS: We detected linear PFOS, PFHxS, octadecanedioic acid, and deoxycholic acid in at least 97% of maternal samples. Correlations ranged between  and 0.9. We observed strong correlations between cord and maternal levels of PFHxS, linear PFOS, and branched PFOS (, 0.8, and 0.8, respectively). An interquartile range increase in linear and branched PFOS, tridecanedioic acid, octadecanedioic acid, and deoxycholic acid was associated with increased odds ratio (OR) of GDM [ (95% CI: 0.89, 2.01), 1.24 (95% CI: 0.86, 1.80), 1.26 (95% CI: 0.93, 1.73), 1.24 (95% CI: 0.86, 1.80), and 1.23 (95% CI: 0.87, 1.75), respectively]. Tridecanedioic acid was positively associated with hypertensive disorders of pregnancy [ (95% CI: 0.90, 1.86)].
DISCUSSION: We identified both exogenous and endogenous chemicals seldom quantified in pregnant study participants that were also related to pregnancy complications and demonstrated the utility of NTA to identify chemical exposures of concern. https://doi.org/10.1289/EHP11546.</dc:description><dc:subject>3215 Reproductive Medicine (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>Endocrine Disruptors (rcdc)</dc:subject><dc:subject>Maternal Health (rcdc)</dc:subject><dc:subject>Maternal Morbidity and Mortality (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Contraception/Reproduction (rcdc)</dc:subject><dc:subject>Perinatal Period - Conditions Originating in Perinatal Period (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Pregnancy (rcdc)</dc:subject><dc:subject>Conditions Affecting the Embryonic and Fetal Periods (rcdc)</dc:subject><dc:subject>Diabetes (rcdc)</dc:subject><dc:subject>Reproductive health and childbirth (hrcs-hc)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Cross-Sectional Studies (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Hypertension</dc:subject><dc:subject>Pregnancy-Induced (mesh)</dc:subject><dc:subject>Pregnancy Complications (mesh)</dc:subject><dc:subject>Diabetes</dc:subject><dc:subject>Gestational (mesh)</dc:subject><dc:subject>Alkanesulfonic Acids (mesh)</dc:subject><dc:subject>Alkanesulfonates (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Deoxycholic Acid (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Alkanes (mesh)</dc:subject><dc:subject>Dicarboxylic Acids (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Pregnancy Complications (mesh)</dc:subject><dc:subject>Diabetes</dc:subject><dc:subject>Gestational (mesh)</dc:subject><dc:subject>Hypertension</dc:subject><dc:subject>Pregnancy-Induced (mesh)</dc:subject><dc:subject>Dicarboxylic Acids (mesh)</dc:subject><dc:subject>Alkanes (mesh)</dc:subject><dc:subject>Alkanesulfonic Acids (mesh)</dc:subject><dc:subject>Alkanesulfonates (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Deoxycholic Acid (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Cross-Sectional Studies (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Cross-Sectional Studies (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Hypertension</dc:subject><dc:subject>Pregnancy-Induced (mesh)</dc:subject><dc:subject>Pregnancy Complications (mesh)</dc:subject><dc:subject>Diabetes</dc:subject><dc:subject>Gestational (mesh)</dc:subject><dc:subject>Alkanesulfonic Acids (mesh)</dc:subject><dc:subject>Alkanesulfonates (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Deoxycholic Acid (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Alkanes (mesh)</dc:subject><dc:subject>Dicarboxylic Acids (mesh)</dc:subject><dc:subject>05 Environmental Sciences (for)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:subject>Toxicology (science-metrix)</dc:subject><dc:subject>32 Biomedical and clinical sciences (for-2020)</dc:subject><dc:subject>41 Environmental sciences (for-2020)</dc:subject><dc:subject>42 Health sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9r2683m4</dc:identifier><dc:identifier>https://escholarship.org/content/qt9r2683m4/qt9r2683m4.pdf</dc:identifier><dc:identifier>info:doi/10.1289/ehp11546</dc:identifier><dc:type>article</dc:type><dc:source>Environmental Health Perspectives, vol 131, iss 7</dc:source><dc:coverage>077003</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt68t2k1m7</identifier><datestamp>2026-07-31T09:54:33Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt68t2k1m7</dc:identifier><dc:title>Maternal per- and poly-fluoroalkyl substances exposures associated with higher depressive symptom scores among immigrant women in the Chemicals in Our Bodies cohort in San Francisco</dc:title><dc:creator>Aung, Max T</dc:creator><dc:creator>Eick, Stephanie M</dc:creator><dc:creator>Padula, Amy M</dc:creator><dc:creator>Smith, Sabrina</dc:creator><dc:creator>Park, June-Soo</dc:creator><dc:creator>DeMicco, Erin</dc:creator><dc:creator>Woodruff, Tracey J</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:date>2023-02-01</dc:date><dc:description>BACKGROUND: Exposure to per- and poly-fluoroalkyl substances (PFAS) remains an important public health issue due to widespread detection and persistence in environmental media, slow metabolism in humans, and influences on physiological processes such as neurological signaling. Maternal depression is highly prevalent during pregnancy and postpartum and is potentially sensitive to PFAS. The health risks associated with PFAS may be further amplified in historically marginalized communities, including immigrants.
OBJECTIVE: Evaluate maternal concentrations of PFAS in association with depression scores during pregnancy and whether effects differ between US born and immigrant women.
METHODS: Our study sample included 282 US born and 235 immigrant pregnant women enrolled in the Chemicals in Our Bodies prospective birth cohort based in San Francisco, CA. We measured 12 PFAS in serum samples collected in the second trimester and depressive symptom scores were assessed using the Center for Epidemiologic Studies Depression Scale. Associations were estimated using linear regression, adjusting for maternal age, education, pre-pregnancy body mass index, and parity. Associations with a PFAS mixture were estimated using quantile g-computation.
RESULTS: In adjusted linear regression models, a twofold increase in two PFAS was associated with higher depression scores in the overall sample, and this association persisted only among immigrant women (β [95&amp;nbsp;% confidence interval]: perfluorooctane sulfonic acid (2.7 [0.7-4.7]) and methyl-perfluorooctane sulfonamide acetic acid (2.9 [1.2-4.7]). Quantile g-computation indicated that simultaneously increasing all PFAS in the mixture by one quartile was associated with increased depressive symptoms among immigrant women (mean change per quartile increase&amp;nbsp;=&amp;nbsp;1.12 [0.002, 2.3]), and associations were stronger compared to US born women (mean change per quartile increase&amp;nbsp;=&amp;nbsp;0.09 [-1.0, 0.8]).
CONCLUSIONS: Findings provide new evidence that PFAS are associated with higher depression symptoms among immigrant women during pregnancy. Results can inform efforts to address environmental factors that may affect depression among US immigrants.</dc:description><dc:subject>3215 Reproductive Medicine (for-2020)</dc:subject><dc:subject>4204 Midwifery (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>Endocrine Disruptors (rcdc)</dc:subject><dc:subject>Maternal Health (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Pregnancy (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Mental Illness (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Maternal Morbidity and Mortality (rcdc)</dc:subject><dc:subject>Social Determinants of Health (rcdc)</dc:subject><dc:subject>Depression (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Reproductive health and childbirth (hrcs-hc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Depression (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Prospective Studies (mesh)</dc:subject><dc:subject>San Francisco (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Alkanesulfonic Acids (mesh)</dc:subject><dc:subject>Emigrants and Immigrants (mesh)</dc:subject><dc:subject>PFAS</dc:subject><dc:subject>Maternal</dc:subject><dc:subject>Depressive symptoms</dc:subject><dc:subject>Mixtures</dc:subject><dc:subject>Immigrants</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Alkanesulfonic Acids (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Prospective Studies (mesh)</dc:subject><dc:subject>Depression (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>San Francisco (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Emigrants and Immigrants (mesh)</dc:subject><dc:subject>Depressive symptoms</dc:subject><dc:subject>Immigrants</dc:subject><dc:subject>Maternal</dc:subject><dc:subject>Mixtures</dc:subject><dc:subject>PFAS</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Depression (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Prospective Studies (mesh)</dc:subject><dc:subject>San Francisco (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Alkanesulfonic Acids (mesh)</dc:subject><dc:subject>Emigrants and Immigrants (mesh)</dc:subject><dc:subject>Environmental Sciences (science-metrix)</dc:subject><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/68t2k1m7</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1016/j.envint.2023.107758</dc:identifier><dc:type>article</dc:type><dc:source>Environment International, vol 172</dc:source><dc:coverage>107758</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3hj6c0d8</identifier><datestamp>2026-07-31T09:54:29Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3hj6c0d8</dc:identifier><dc:title>Disparities in chemical exposures among pregnant women and neonates by socioeconomic and demographic characteristics: A nontargeted approach</dc:title><dc:creator>Goin, Dana E</dc:creator><dc:creator>Abrahamsson, Dimitri</dc:creator><dc:creator>Wang, Miaomiao</dc:creator><dc:creator>Jiang, Ting</dc:creator><dc:creator>Park, June-Soo</dc:creator><dc:creator>Sirota, Marina</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:creator>DeMicco, Erin</dc:creator><dc:creator>Zlatnik, Marya G</dc:creator><dc:creator>Woodruff, Tracey J</dc:creator><dc:date>2022-12-01</dc:date><dc:description>BACKGROUND: Exposure to environmental chemicals during pregnancy adversely affects maternal and infant health, and identifying socio-demographic differences in exposures can inform contributions to health inequities.
METHODS: We recruited 294 demographically diverse pregnant participants in San Francisco from the Mission Bay/Moffit Long (MB/ML) hospitals, which serve a primarily higher income population, and Zuckerberg San Francisco General Hospital (ZSFGH), which serves a lower income population. We collected maternal and cord sera, which we screened for 2420 unique formulas and their isomers using high-resolution mass spectrometry using LC-QTOF/MS. We assessed differences in chemical abundances across socioeconomic and demographic groups using linear regression adjusting for false discovery rate.
RESULTS: Our participants were racially diverse (31% Latinx, 16% Asian/Pacific Islander, 5% Black, 5% other or multi-race, and 43% white). A substantial portion experienced financial strain (28%) and food insecurity (20%) during pregnancy. We observed significant abundance differences in maternal (9 chemicals) and cord sera (39 chemicals) between participants who delivered at the MB/ML hospitals versus ZSFGH. Of the 39 chemical features differentially detected in cord blood, 18 were present in pesticides, one per- or poly-fluoroalkyl substance (PFAS), 21 in plasticizers, 24 in cosmetics, and 17 in pharmaceuticals; 4 chemical features had unknown sources. A chemical feature annotated as 2,4-dichlorophenol had higher abundances among Latinx compared to white participants, those delivering at ZSFGH compared to MB/ML, those with food insecurity, and those with financial strain. Post-hoc QTOF analyses indicated the chemical feature was either 2,4-dichlorophenol or 2,5-dichlorophenol, both of which have potential endocrine-disrupting effects.
CONCLUSIONS: Chemical exposures differed between delivery hospitals, likely due to underlying social conditions faced by populations served. Differential exposures to 2,4-dichlorophenol or 2,5-dichlorophenol may contribute to disparities in adverse outcomes.</dc:description><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>41 Environmental Sciences (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Endocrine Disruptors (rcdc)</dc:subject><dc:subject>Maternal Health (rcdc)</dc:subject><dc:subject>Basic Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Perinatal Period - Conditions Originating in Perinatal Period (rcdc)</dc:subject><dc:subject>Maternal Morbidity and Mortality (rcdc)</dc:subject><dc:subject>Health Disparities and Racial or Ethnic Minority Health Research (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Social Determinants of Health (rcdc)</dc:subject><dc:subject>Health Disparities (rcdc)</dc:subject><dc:subject>Pregnancy (rcdc)</dc:subject><dc:subject>Minority Health (rcdc)</dc:subject><dc:subject>2.2 Factors relating to the physical environment (hrcs-rac)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>2 Zero Hunger (sdg)</dc:subject><dc:subject>Chlorophenols (mesh)</dc:subject><dc:subject>Demography (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Infant</dc:subject><dc:subject>Newborn (mesh)</dc:subject><dc:subject>Pesticides (mesh)</dc:subject><dc:subject>Pharmaceutical Preparations (mesh)</dc:subject><dc:subject>Phenols (mesh)</dc:subject><dc:subject>Plasticizers (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Pregnant People (mesh)</dc:subject><dc:subject>Socioeconomic Factors (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Chlorophenols (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Phenols (mesh)</dc:subject><dc:subject>Plasticizers (mesh)</dc:subject><dc:subject>Pharmaceutical Preparations (mesh)</dc:subject><dc:subject>Pesticides (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Demography (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Socioeconomic Factors (mesh)</dc:subject><dc:subject>Infant</dc:subject><dc:subject>Newborn (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Pregnant People (mesh)</dc:subject><dc:subject>Chlorophenols (mesh)</dc:subject><dc:subject>Demography (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Infant</dc:subject><dc:subject>Newborn (mesh)</dc:subject><dc:subject>Pesticides (mesh)</dc:subject><dc:subject>Pharmaceutical Preparations (mesh)</dc:subject><dc:subject>Phenols (mesh)</dc:subject><dc:subject>Plasticizers (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Pregnant People (mesh)</dc:subject><dc:subject>Socioeconomic Factors (mesh)</dc:subject><dc:subject>03 Chemical Sciences (for)</dc:subject><dc:subject>05 Environmental Sciences (for)</dc:subject><dc:subject>06 Biological Sciences (for)</dc:subject><dc:subject>Toxicology (science-metrix)</dc:subject><dc:subject>31 Biological sciences (for-2020)</dc:subject><dc:subject>34 Chemical sciences (for-2020)</dc:subject><dc:subject>41 Environmental sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3hj6c0d8</dc:identifier><dc:identifier>https://escholarship.org/content/qt3hj6c0d8/qt3hj6c0d8.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.envres.2022.114158</dc:identifier><dc:type>article</dc:type><dc:source>Environmental Research, vol 215, iss Pt 1</dc:source><dc:coverage>114158</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt46x047tv</identifier><datestamp>2026-07-31T09:54:24Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt46x047tv</dc:identifier><dc:title>Associations between prenatal maternal exposure to per- and polyfluoroalkyl substances (PFAS) and polybrominated diphenyl ethers (PBDEs) and birth outcomes among pregnant women in San Francisco</dc:title><dc:creator>Eick, Stephanie M</dc:creator><dc:creator>Hom Thepaksorn, Elizabeth K</dc:creator><dc:creator>Izano, Monika A</dc:creator><dc:creator>Cushing, Lara J</dc:creator><dc:creator>Wang, Yunzhu</dc:creator><dc:creator>Smith, Sabrina Crispo</dc:creator><dc:creator>Gao, Songmei</dc:creator><dc:creator>Park, June-Soo</dc:creator><dc:creator>Padula, Amy M</dc:creator><dc:creator>DeMicco, Erin</dc:creator><dc:creator>Valeri, Linda</dc:creator><dc:creator>Woodruff, Tracey J</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:date>2020-12-01</dc:date><dc:description>BackgroundPerfluoroalkyl substances (PFAS) and polybrominated diphenyl ethers (PBDEs) are used in consumer products for their water repellent and flame retardant properties, respectively. However, there is widespread prenatal exposure and concern about their potential harm to the developing fetus. Here, we utilized data from a demographically diverse cohort of women in San Francisco, CA to examine associations between prenatal exposure to PFAS and PBDEs with gestational age and birth weight for gestational age z-scores.MethodsWomen included in this analysis were enrolled in the Chemicals in our Bodies (CIOB) cohort study (N = 506). PFAS and PBDEs were measured in serum obtained during the second trimester of pregnancy. Linear regression models were used to calculate crude and adjusted β coefficients for the association between PFAS and PBDE concentrations in tertiles and gestational age and birth weight z-scores. Individual PFAS and PBDE concentrations, as well as their sums, were examined in separate models.ResultsThe highest compared to lowest tertile of BDE-47 was associated with shorter gestational age (β = − 0.49, 95% confidence interval [CI] = − 0.95, − 0.02). Additionally, exposure to BDE-47 and BDE-99 in the middle tertile was also associated with a reduction in birth weight z-scores (β = − 0.26, 95% CI = -0.48, − 0.04; β = − 0.25, 95% CI = -0.47, − 0.04, respectively) compared to those in the lowest tertile of exposure. No consistent associations were observed between increasing PFAS concentrations and gestational age or birth weight z-scores.DiscussionAmong a diverse group of pregnant women in the San Francisco Bay Area, we found non-linear associations between prenatal exposure to PBDEs during the second trimester of pregnancy and birth weight z-scores. However, most PFAS congeners were not associated with adverse birth outcomes. PFAS and PBDE concentrations were lower in our cohort relative to other studies. Future research should assess the effects of emerging and persistent PFAS and PBDEs on birth outcomes, as some congeners are being phased out and replaced by chemically similar structures.</dc:description><dc:subject>4202 Epidemiology (for-2020)</dc:subject><dc:subject>4206 Public Health (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>Conditions Affecting the Embryonic and Fetal Periods (rcdc)</dc:subject><dc:subject>Infant Mortality (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Maternal Health (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Perinatal Period - Conditions Originating in Perinatal Period (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Endocrine Disruptors (rcdc)</dc:subject><dc:subject>Health Effects of Indoor Air Pollution (rcdc)</dc:subject><dc:subject>Pregnancy (rcdc)</dc:subject><dc:subject>Reproductive health and childbirth (hrcs-hc)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Birth Weight (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Flame Retardants (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Gestational Age (mesh)</dc:subject><dc:subject>Halogenated Diphenyl Ethers (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Maternal Exposure (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>San Francisco (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Per</dc:subject><dc:subject>and poly-fluroalkyl substances</dc:subject><dc:subject>Polybrominated diphenyl ethers</dc:subject><dc:subject>Birth outcomes</dc:subject><dc:subject>Health disparities</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Birth Weight (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Flame Retardants (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Maternal Exposure (mesh)</dc:subject><dc:subject>Gestational Age (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>San Francisco (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Halogenated Diphenyl Ethers (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Birth outcomes</dc:subject><dc:subject>Health disparities</dc:subject><dc:subject>Per- and poly-fluroalkyl substances</dc:subject><dc:subject>Polybrominated diphenyl ethers</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Birth Weight (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Flame Retardants (mesh)</dc:subject><dc:subject>Fluorocarbons (mesh)</dc:subject><dc:subject>Gestational Age (mesh)</dc:subject><dc:subject>Halogenated Diphenyl Ethers (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Maternal Exposure (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>San Francisco (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>1117 Public Health and Health Services (for)</dc:subject><dc:subject>Toxicology (science-metrix)</dc:subject><dc:subject>4202 Epidemiology (for-2020)</dc:subject><dc:subject>4206 Public health (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/46x047tv</dc:identifier><dc:identifier>https://escholarship.org/content/qt46x047tv/qt46x047tv.pdf</dc:identifier><dc:identifier>info:doi/10.1186/s12940-020-00654-2</dc:identifier><dc:type>article</dc:type><dc:source>Environmental Health, vol 19, iss 1</dc:source><dc:coverage>100</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0jh929g5</identifier><datestamp>2026-07-31T09:54:18Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0jh929g5</dc:identifier><dc:title>Integrating Exposure Knowledge and Serum Suspect Screening as a New Approach to Biomonitoring: An Application in Firefighters and Office Workers</dc:title><dc:creator>Grashow, Rachel</dc:creator><dc:creator>Bessonneau, Vincent</dc:creator><dc:creator>Gerona, Roy R</dc:creator><dc:creator>Wang, Aolin</dc:creator><dc:creator>Trowbridge, Jessica</dc:creator><dc:creator>Lin, Thomas</dc:creator><dc:creator>Buren, Heather</dc:creator><dc:creator>Rudel, Ruthann A</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:date>2020-04-07</dc:date><dc:description>Firefighters (FF) are exposed to recognized and probable carcinogens, yet there are few studies of chemical exposures and associated health concerns in women FFs, such as breast cancer. Biomonitoring often requires a priori selection of compounds to be measured, and so, it may not detect relevant, lesser known, exposures. The Women FFs Biomonitoring Collaborative (WFBC) created a biological sample archive and conducted a general suspect screen (GSS) to address this data gap. Using liquid chromatography-quadrupole time-of-flight tandem mass spectrometry, we sought to identify candidate chemicals of interest in serum samples from 83 women FFs and 79 women office workers (OW) in San Francisco. We identified chemical peaks by matching accurate mass from serum samples against a custom chemical database of 722 slightly polar phenolic and acidic compounds, including many of relevance to firefighting or breast cancer etiology. We then selected tentatively identified chemicals for confirmation based on the following criteria: (1) detection frequency or peak area differences between OW and FF; (2) evidence of mammary carcinogenicity, estrogenicity, or genotoxicity; and (3) not currently measured in large biomonitoring studies. We detected 620 chemicals that matched 300 molecular formulas in the WFBC database, including phthalate metabolites, phosphate flame-retardant metabolites, phenols, pesticides, nitro and nitroso compounds, and per- and polyfluoroalkyl substances. Of the 20 suspect chemicals selected for validation, 8 were confirmed-including two alkylphenols, ethyl paraben, BPF, PFOSAA, benzophenone-3, benzyl p-hydroxybenzoate, and triphenyl phosphate-by running a matrix spike of the reference standards and using m/z, retention time, and the confirmation of at least two fragment ions as criteria for matching. GSS provides a powerful high-throughput approach to identify and prioritize novel chemicals for biomonitoring and health studies.</dc:description><dc:subject>3401 Analytical Chemistry (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>Cancer (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Breast Cancer (rcdc)</dc:subject><dc:subject>Endocrine Disruptors (rcdc)</dc:subject><dc:subject>Biological Monitoring (mesh)</dc:subject><dc:subject>Chromatography</dc:subject><dc:subject>Liquid (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Firefighters (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>San Francisco (mesh)</dc:subject><dc:subject>Serum (mesh)</dc:subject><dc:subject>Serum (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Chromatography</dc:subject><dc:subject>Liquid (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>San Francisco (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Firefighters (mesh)</dc:subject><dc:subject>Biological Monitoring (mesh)</dc:subject><dc:subject>Biological Monitoring (mesh)</dc:subject><dc:subject>Chromatography</dc:subject><dc:subject>Liquid (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Firefighters (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>San Francisco (mesh)</dc:subject><dc:subject>Serum (mesh)</dc:subject><dc:subject>Environmental Sciences (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0jh929g5</dc:identifier><dc:identifier>https://escholarship.org/content/qt0jh929g5/qt0jh929g5.pdf</dc:identifier><dc:identifier>info:doi/10.1021/acs.est.9b04579</dc:identifier><dc:type>article</dc:type><dc:source>Environmental Science and Technology, vol 54, iss 7</dc:source><dc:coverage>4344 - 4355</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1sw7n8b9</identifier><datestamp>2026-07-31T09:54:14Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1sw7n8b9</dc:identifier><dc:title>A Suspect Screening Method for Characterizing Multiple Chemical Exposures among a Demographically Diverse Population of Pregnant Women in San Francisco</dc:title><dc:creator>Wang, Aolin</dc:creator><dc:creator>Gerona, Roy R</dc:creator><dc:creator>Schwartz, Jackie M</dc:creator><dc:creator>Lin, Thomas</dc:creator><dc:creator>Sirota, Marina</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:creator>Woodruff, Tracey J</dc:creator><dc:date>2018-07-01</dc:date><dc:description>BACKGROUND: In utero exposure to environmental chemicals can adversely impact pregnancy outcomes and childhood health, but minimal biomonitoring data exist on the majority of chemicals used in commerce.
OBJECTIVES: We aimed to profile exposure to multiple environmental organic acids (EOAs) and identify novel chemicals that have not been previously biomonitored in a diverse population of pregnant women.
METHODS: We used liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-QTOF/MS) to perform a suspect screen for 696 EOAs, (e.g., phenols and phthalate metabolites) on the maternal serum collected at delivery from 75 pregnant women delivering at two large San Francisco Hospitals. We examined demographic differences in peak areas and detection frequency (DF) of suspect EOAs using a Kruskal-Wallis Rank Sum test or Fisher's exact test. We confirmed selected suspects by comparison with their respective reference standards.
RESULTS: We detected, on average, 56 [standard deviation (SD)]: 8) suspect EOAs in each sample (range: 32-73). Twelve suspect EOAs with DF≥60 were matched to 21 candidate compounds in our EOA database, two-thirds of which are novel chemicals. We found demographic differences in DF for 13 suspect EOAs and confirmed the presence of 6 priority novel chemicals: 2,4-Di-tert-butylphenol, Pyrocatechol, 2,4-Dinitrophenol, 3,5-Di-tert-butylsalicylic acid, 4-Hydroxycoumarin, and 2'-Hydroxyacetophenone (or 3'-Hydroxyacetophenone). The first two are high-production-volume chemicals in the United States.
CONCLUSION: Suspect screening in human biomonitoring provides a viable method to characterize a broad spectrum of environmental chemicals to prioritize for targeted method development and quantification. https://doi.org/10.1289/EHP2920.</dc:description><dc:subject>3215 Reproductive Medicine (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Pregnancy (rcdc)</dc:subject><dc:subject>Endocrine Disruptors (rcdc)</dc:subject><dc:subject>Perinatal Period - Conditions Originating in Perinatal Period (rcdc)</dc:subject><dc:subject>Conditions Affecting the Embryonic and Fetal Periods (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Acids (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Chromatography</dc:subject><dc:subject>Liquid (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Mass Spectrometry (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Organic Chemicals (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Pregnant People (mesh)</dc:subject><dc:subject>San Francisco (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Acids (mesh)</dc:subject><dc:subject>Organic Chemicals (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Chromatography</dc:subject><dc:subject>Liquid (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>San Francisco (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Mass Spectrometry (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>Pregnant People (mesh)</dc:subject><dc:subject>Acids (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Chromatography</dc:subject><dc:subject>Liquid (mesh)</dc:subject><dc:subject>Environmental Monitoring (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Mass Spectrometry (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Organic Chemicals (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Pregnant People (mesh)</dc:subject><dc:subject>San Francisco (mesh)</dc:subject><dc:subject>Young Adult (mesh)</dc:subject><dc:subject>05 Environmental Sciences (for)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:subject>Toxicology (science-metrix)</dc:subject><dc:subject>32 Biomedical and clinical sciences (for-2020)</dc:subject><dc:subject>41 Environmental sciences (for-2020)</dc:subject><dc:subject>42 Health sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1sw7n8b9</dc:identifier><dc:identifier>https://escholarship.org/content/qt1sw7n8b9/qt1sw7n8b9.pdf</dc:identifier><dc:identifier>info:doi/10.1289/ehp2920</dc:identifier><dc:type>article</dc:type><dc:source>Environmental Health Perspectives, vol 126, iss 7</dc:source><dc:coverage>077009</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9zc7g0hx</identifier><datestamp>2026-07-31T09:53:40Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9zc7g0hx</dc:identifier><dc:title>Low-voltage syngas synthesis via BPM electrolysis of CO 2 capture and aldehyde solution</dc:title><dc:creator>Huang, Po-Wei</dc:creator><dc:creator>Choi, Hyeonuk</dc:creator><dc:creator>Venkataraman, Anush</dc:creator><dc:creator>Vulpin, Olivia</dc:creator><dc:creator>Ruiz Torres, Claudio A</dc:creator><dc:creator>Chipoco Haro, Danae A</dc:creator><dc:creator>Zhu, Yaguang</dc:creator><dc:creator>Yamazaki, Erika R</dc:creator><dc:creator>Hatzell, Kelsey B</dc:creator><dc:creator>Boettcher, Shannon W</dc:creator><dc:creator>Nair, Sankar</dc:creator><dc:creator>Oh, Jihun</dc:creator><dc:creator>Song, Hakhyeon</dc:creator><dc:creator>Hatzell, Marta C</dc:creator><dc:date>2026-04-28</dc:date><dc:description>A bipolar membrane electrolyzer coupling bicarbonate electrolysis with formaldehyde oxidation directly produces syngas (H 2 : CO = 1) at 1.7 V and 200 mA cm −2 with 200% combined Faradaic efficiency. 
 We demonstrate an electrochemical syngas production platform that couples bicarbonate electrolysis with formaldehyde oxidation in a bipolar membrane electrode assembly. This strategy doubles syngas (CO + H 2 ) throughput compared to conventional CO 2 electrolysis by generating CO at the cathode and H 2 at the anode. The system achieves a full-cell voltage of 1.7 V while operating at an industrially relevant current density of 200 mA cm −2 . The system maintained a combined Faradaic efficiency of 200% over 8 hours. The process produces syngas with a 1 : 1 H 2 : CO ratio, aligning with downstream requirements for Fischer–Tropsch synthesis. We further investigated how Cu anode active sites and electrolyte composition affect formaldehyde oxidation activity. Our integrated electrolytic system reduces levelized energy by 45–61% relative to conventional electrochemical syngas production platforms.</dc:description><dc:subject>40 Engineering (for-2020)</dc:subject><dc:subject>4016 Materials Engineering (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>7 Affordable and Clean Energy (sdg)</dc:subject><dc:subject>Energy (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9zc7g0hx</dc:identifier><dc:identifier>https://escholarship.org/content/qt9zc7g0hx/qt9zc7g0hx.pdf</dc:identifier><dc:identifier>info:doi/10.1039/d5ee07845h</dc:identifier><dc:type>article</dc:type><dc:source>Energy &amp; Environmental Science, vol 19, iss 8</dc:source><dc:coverage>2658 - 2667</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3jp2z9gg</identifier><datestamp>2026-07-31T09:51:56Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3jp2z9gg</dc:identifier><dc:title>Billing Decoded: A Targeted Educational Intervention to Improve Fellow Competency and Value-Based Care Through Enhanced Coding Accuracy</dc:title><dc:creator>Farha, Nicole</dc:creator><dc:creator>Resnick, Karen</dc:creator><dc:creator>Ali, Ahmed</dc:creator><dc:creator>Dudipala, Harshitha</dc:creator><dc:creator>Grant, Christopher</dc:creator><dc:creator>McGillivray, Erin</dc:creator><dc:creator>Sheth, Parth</dc:creator><dc:creator>Daniels, Gregory</dc:creator><dc:creator>Wong-Sefidan, Ida</dc:creator><dc:date>2026-05-21</dc:date><dc:description>Background:While accurate billing and coding are critical to healthcare system efficiency, reimbursement, and the delivery of high-value care, formal education in billing practices during fellowship training is often limited1. Gaps in knowledge leave trainees feeling under-prepared for real-world clinical practice. Additionally, trainees often undervalue services provided, which carry financial implications for the academic institution2-3. Brief educational interventions have been effective in improving trainee comfort and accuracy in billing4. We hypothesized that a structured 1-hour educational intervention would improve understanding and comfort with billing/coding, reimbursement, and relative value unit (RVU) generation among hematology and oncology fellows. We conducted a quality improvement and educational intervention at the UC San Diego Hematology/Oncology fellowship program. Our primary aim was to improve comfort with billing, coding, and reimbursement.Methods:Participants attended a 1-hour didactic session focused on billing and coding fundamentals. The session defined current procedural terminology (CPT) codes, reviewed international classification of diseases (ICD) codes, and broke down the RVU and its components, outlining how these elements translate into reimbursement, and emphasizing the importance of documentation to justify diagnoses and procedures. Pre- and post-intervention surveys were conducted to assess changes in fellows' self-reported comfort and understanding of these domains. Responses were collected through a Likert-scale questionnaire. Descriptive statistics with paired comparisons were used to assess changes following the intervention.Results:Fifteen pre-surveys and 8 post-surveys were completed. Comparative analysis was done by change in median Likert score (scaled 1 to 5 from very uncomfortable to very comfortable). Results of the pre- and post-intervention survey demonstrate an improvement in fellows' self-reported comfort across all assessed domains: selecting ICD-10 codes (median Likert pre 2, post 4), selecting CPT codes (median Likert pre 2, post 4), knowledge of RVUs (median Likert pre 1, post 4), differences between time-based and complexity-based billing (median Likert pre 1, post 4), and overall comfort with accurate billing (median Likert pre 2, post 4).Conclusions:Our targeted educational intervention improved fellows' perceived competency in billing and coding. This intervention addresses a key gap in graduate medical education. Additionally, improving the accuracy of trainee billing has the potential to optimize financial reimbursement. Our work highlights the importance of incorporating a structured billing education into fellowship training, both to create a comprehensive curriculum, but also to improve healthcare efficiency and value-based care delivery. Future directions aim to quantify changes in RVU generation per fellow to determine whether these subjective improvements translate to a financial and operational impact.</dc:description><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3jp2z9gg</dc:identifier><dc:identifier>https://escholarship.org/content/qt3jp2z9gg/qt3jp2z9gg.pdf</dc:identifier><dc:type>article</dc:type><dc:source>tbc</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1q669296</identifier><datestamp>2026-07-31T09:50:36Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1q669296</dc:identifier><dc:title>Merging paleobiology with conservation biology to guide the future of terrestrial ecosystems</dc:title><dc:creator>Barnosky, Anthony D</dc:creator><dc:creator>Hadly, Elizabeth A</dc:creator><dc:creator>Gonzalez, Patrick</dc:creator><dc:creator>Head, Jason</dc:creator><dc:creator>Polly, P David</dc:creator><dc:creator>Lawing, A Michelle</dc:creator><dc:creator>Eronen, Jussi T</dc:creator><dc:creator>Ackerly, David D</dc:creator><dc:creator>Alex, Ken</dc:creator><dc:creator>Biber, Eric</dc:creator><dc:creator>Blois, Jessica</dc:creator><dc:creator>Brashares, Justin</dc:creator><dc:creator>Ceballos, Gerardo</dc:creator><dc:creator>Davis, Edward</dc:creator><dc:creator>Dietl, Gregory P</dc:creator><dc:creator>Dirzo, Rodolfo</dc:creator><dc:creator>Doremus, Holly</dc:creator><dc:creator>Fortelius, Mikael</dc:creator><dc:creator>Greene, Harry W</dc:creator><dc:creator>Hellmann, Jessica</dc:creator><dc:creator>Hickler, Thomas</dc:creator><dc:creator>Jackson, Stephen T</dc:creator><dc:creator>Kemp, Melissa</dc:creator><dc:creator>Koch, Paul L</dc:creator><dc:creator>Kremen, Claire</dc:creator><dc:creator>Lindsey, Emily L</dc:creator><dc:creator>Looy, Cindy</dc:creator><dc:creator>Marshall, Charles R</dc:creator><dc:creator>Mendenhall, Chase</dc:creator><dc:creator>Mulch, Andreas</dc:creator><dc:creator>Mychajliw, Alexis M</dc:creator><dc:creator>Nowak, Carsten</dc:creator><dc:creator>Ramakrishnan, Uma</dc:creator><dc:creator>Schnitzler, Jan</dc:creator><dc:creator>Das Shrestha, Kashish</dc:creator><dc:creator>Solari, Katherine</dc:creator><dc:creator>Stegner, Lynn</dc:creator><dc:creator>Stegner, M Allison</dc:creator><dc:creator>Stenseth, Nils Chr</dc:creator><dc:creator>Wake, Marvalee H</dc:creator><dc:creator>Zhang, Zhibin</dc:creator><dc:date>2017-02-10</dc:date><dc:description>Conservation of species and ecosystems is increasingly difficult because anthropogenic impacts are pervasive and accelerating. Under this rapid global change, maximizing conservation success requires a paradigm shift from maintaining ecosystems in idealized past states toward facilitating their adaptive and functional capacities, even as species ebb and flow individually. Developing effective strategies under this new paradigm will require deeper understanding of the long-term dynamics that govern ecosystem persistence and reconciliation of conflicts among approaches to conserving historical versus novel ecosystems. Integrating emerging information from conservation biology, paleobiology, and the Earth sciences is an important step forward on the path to success. Maintaining nature in all its aspects will also entail immediately addressing the overarching threats of growing human population, overconsumption, pollution, and climate change.</dc:description><dc:subject>41 Environmental Sciences (for-2020)</dc:subject><dc:subject>4102 Ecological Applications (for-2020)</dc:subject><dc:subject>3103 Ecology (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>Generic health relevance (hrcs-hc)</dc:subject><dc:subject>15 Life on Land (sdg)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Biodiversity (mesh)</dc:subject><dc:subject>Climate Change (mesh)</dc:subject><dc:subject>Conservation of Natural Resources (mesh)</dc:subject><dc:subject>Endangered Species (mesh)</dc:subject><dc:subject>Environmental Pollution (mesh)</dc:subject><dc:subject>Extinction</dc:subject><dc:subject>Biological (mesh)</dc:subject><dc:subject>Gorilla gorilla (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Introduced Species (mesh)</dc:subject><dc:subject>Policy (mesh)</dc:subject><dc:subject>Population Dynamics (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Gorilla gorilla (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Conservation of Natural Resources (mesh)</dc:subject><dc:subject>Biodiversity (mesh)</dc:subject><dc:subject>Environmental Pollution (mesh)</dc:subject><dc:subject>Population Dynamics (mesh)</dc:subject><dc:subject>Extinction</dc:subject><dc:subject>Biological (mesh)</dc:subject><dc:subject>Endangered Species (mesh)</dc:subject><dc:subject>Climate Change (mesh)</dc:subject><dc:subject>Policy (mesh)</dc:subject><dc:subject>Introduced Species (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Biodiversity (mesh)</dc:subject><dc:subject>Climate Change (mesh)</dc:subject><dc:subject>Conservation of Natural Resources (mesh)</dc:subject><dc:subject>Endangered Species (mesh)</dc:subject><dc:subject>Environmental Pollution (mesh)</dc:subject><dc:subject>Extinction</dc:subject><dc:subject>Biological (mesh)</dc:subject><dc:subject>Gorilla gorilla (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Introduced Species (mesh)</dc:subject><dc:subject>Policy (mesh)</dc:subject><dc:subject>Population Dynamics (mesh)</dc:subject><dc:subject>General Science &amp; Technology (science-metrix)</dc:subject><dc:rights>CC-BY-NC-ND</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1q669296</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1126/science.aah4787</dc:identifier><dc:type>article</dc:type><dc:source>Science, vol 355, iss 6325</dc:source><dc:coverage>eaah4787</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0gw0s842</identifier><datestamp>2026-07-31T09:50:26Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0gw0s842</dc:identifier><dc:title>Bayesian inference of state feedback control parameters for fo perturbation responses in cerebellar ataxia</dc:title><dc:creator>Gaines, Jessica L</dc:creator><dc:creator>Kim, Kwang S</dc:creator><dc:creator>Parrell, Ben</dc:creator><dc:creator>Ramanarayanan, Vikram</dc:creator><dc:creator>Pongos, Alvincé L</dc:creator><dc:creator>Nagarajan, Srikantan S</dc:creator><dc:creator>Houde, John F</dc:creator><dc:contributor>Haith, Adrian M</dc:contributor><dc:date>2024-01-01</dc:date><dc:description>Behavioral speech tasks have been widely used to understand the mechanisms of speech motor control in typical speakers as well as in various clinical populations. However, determining which neural functions differ between typical speakers and clinical populations based on behavioral data alone is difficult because multiple mechanisms may lead to the same behavioral differences. For example, individuals with cerebellar ataxia (CA) produce atypically large compensatory responses to pitch perturbations in their auditory feedback, compared to typical speakers, but this pattern could have many explanations. Here, computational modeling techniques were used to address this challenge. Bayesian inference was used to fit a state feedback control (SFC) model of voice fundamental frequency (fo) control to the behavioral pitch perturbation responses of speakers with CA and typical speakers. This fitting process resulted in estimates of posterior likelihood distributions for five model parameters (sensory feedback delays, absolute and relative levels of auditory and somatosensory feedback noise, and controller gain), which were compared between the two groups. Results suggest that the speakers with CA may proportionally weight auditory and somatosensory feedback differently from typical speakers. Specifically, the CA group showed a greater relative sensitivity to auditory feedback than the control group. There were also large group differences in the controller gain parameter, suggesting increased motor output responses to target errors in the CA group. These modeling results generate hypotheses about how CA may affect the speech motor system, which could help guide future empirical investigations in CA. This study also demonstrates the overall proof-of-principle of using this Bayesian inference approach to understand behavioral speech data in terms of interpretable parameters of speech motor control models.</dc:description><dc:subject>5202 Biological Psychology (for-2020)</dc:subject><dc:subject>52 Psychology (for-2020)</dc:subject><dc:subject>Basic Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Physical Rehabilitation (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Rehabilitation (rcdc)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Bayes Theorem (mesh)</dc:subject><dc:subject>Cerebellar Ataxia (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Feedback</dc:subject><dc:subject>Sensory (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Computational Biology (mesh)</dc:subject><dc:subject>Speech (mesh)</dc:subject><dc:subject>Computer Simulation (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Cerebellar Ataxia (mesh)</dc:subject><dc:subject>Bayes Theorem (mesh)</dc:subject><dc:subject>Speech (mesh)</dc:subject><dc:subject>Computational Biology (mesh)</dc:subject><dc:subject>Computer Simulation (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Feedback</dc:subject><dc:subject>Sensory (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Bayes Theorem (mesh)</dc:subject><dc:subject>Cerebellar Ataxia (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Feedback</dc:subject><dc:subject>Sensory (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Computational Biology (mesh)</dc:subject><dc:subject>Speech (mesh)</dc:subject><dc:subject>Computer Simulation (mesh)</dc:subject><dc:subject>01 Mathematical Sciences (for)</dc:subject><dc:subject>06 Biological Sciences (for)</dc:subject><dc:subject>08 Information and Computing Sciences (for)</dc:subject><dc:subject>Bioinformatics (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0gw0s842</dc:identifier><dc:identifier>https://escholarship.org/content/qt0gw0s842/qt0gw0s842.pdf</dc:identifier><dc:identifier>info:doi/10.1371/journal.pcbi.1011986</dc:identifier><dc:type>article</dc:type><dc:source>PLOS Computational Biology, vol 20, iss 10</dc:source><dc:coverage>e1011986</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt56q3w3t8</identifier><datestamp>2026-07-31T09:50:20Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt56q3w3t8</dc:identifier><dc:title>The IsoGenie database: an interdisciplinary data management solution for ecosystems biology and environmental research</dc:title><dc:creator>Bolduc, Benjamin</dc:creator><dc:creator>Hodgkins, Suzanne B</dc:creator><dc:creator>Varner, Ruth K</dc:creator><dc:creator>Crill, Patrick M</dc:creator><dc:creator>McCalley, Carmody K</dc:creator><dc:creator>Chanton, Jeffrey P</dc:creator><dc:creator>Tyson, Gene W</dc:creator><dc:creator>Riley, William J</dc:creator><dc:creator>Palace, Michael</dc:creator><dc:creator>Duhaime, Melissa B</dc:creator><dc:creator>Hough, Moira A</dc:creator><dc:creator>Saleska, Scott R</dc:creator><dc:creator>Sullivan, Matthew B</dc:creator><dc:creator>Rich, Virginia I</dc:creator><dc:date>2020-01-01</dc:date><dc:description>Modern microbial and ecosystem sciences require diverse interdisciplinary teams that are often challenged in “speaking” to one another due to different languages and data product types. Here we introduce the IsoGenie Database (IsoGenieDB;
                    https://isogenie-db.asc.ohio-state.edu/
                    ), a de novo developed data management and exploration platform, as a solution to this challenge of accurately representing and integrating heterogenous environmental and microbial data across ecosystem scales. The IsoGenieDB is a public and private data infrastructure designed to store and query data generated by the IsoGenie Project, a ~10 year DOE-funded project focused on discovering ecosystem climate feedbacks in a thawing permafrost landscape. The IsoGenieDB provides (i) a platform for IsoGenie Project members to explore the project’s interdisciplinary datasets across scales through the inherent relationships among data entities, (ii) a framework to consolidate and harmonize the datasets needed by the team’s modelers, and (iii) a public venue that leverages the same spatially explicit, disciplinarily integrated data structure to share published datasets. The IsoGenieDB is also being expanded to cover the NASA-funded Archaea to Atmosphere (A2A) project, which scales the findings of IsoGenie to a broader suite of Arctic peatlands, via the umbrella A2A Database (A2A-DB). The IsoGenieDB’s expandability and flexible architecture allow it to serve as an example ecosystems database.</dc:description><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>3102 Bioinformatics and Computational Biology (for-2020)</dc:subject><dc:subject>Data Science (rcdc)</dc:subject><dc:subject>Networking and Information Technology R&amp;D (NITRD) (rcdc)</dc:subject><dc:subject>Graph database</dc:subject><dc:subject>Data management</dc:subject><dc:subject>Ecosystem science</dc:subject><dc:subject>Interdisciplinary</dc:subject><dc:subject>Information analysis</dc:subject><dc:subject>Database</dc:subject><dc:subject>IsoGenie project</dc:subject><dc:subject>Stordalen mire</dc:subject><dc:subject>06 Biological Sciences (for)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/56q3w3t8</dc:identifier><dc:identifier>https://escholarship.org/content/qt56q3w3t8/qt56q3w3t8.pdf</dc:identifier><dc:identifier>info:doi/10.7717/peerj.9467</dc:identifier><dc:type>article</dc:type><dc:source>PeerJ, vol 8</dc:source><dc:coverage>e9467</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1zz196v5</identifier><datestamp>2026-07-31T09:50:12Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1zz196v5</dc:identifier><dc:title>Hyper-localized measures of air pollution and risk of preterm birth in Oakland and San Jose, California</dc:title><dc:creator>Riddell, Corinne A</dc:creator><dc:creator>Goin, Dana E</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:creator>Apte, Joshua S</dc:creator><dc:creator>Glymour, M Maria</dc:creator><dc:creator>Torres, Jacqueline M</dc:creator><dc:creator>Casey, Joan A</dc:creator><dc:date>2022-01-06</dc:date><dc:description>BACKGROUND: US preterm-birth rates are 1.6 times higher for Black mothers than for White mothers. Although traffic-related air pollution (TRAP) may increase the risk of preterm birth, evaluating its effect on preterm birth and disparities has been challenging because TRAP is often measured inaccurately. This study sought to estimate the effect of TRAP exposure, measured at the street level, on the prevalence of preterm birth by race/ethnicity.
METHODS: We linked birth-registry data with TRAP measured at the street level for singleton births in sampled communities during 2013-2015 in Oakland and San Jose, California. Using logistic regression and marginal standardization, we estimated the effects of exposure to black carbon, nitrogen dioxide and ultrafine particles on preterm birth after confounder adjustment and stratification by race/ethnicity.
RESULTS: There were 8823 singleton births, of which 760 (8.6%) were preterm. Shifting black-carbon exposure from the 10th to the 90th percentile was associated with: 6.8%age point higher risk of preterm birth (95% confidence interval = 0.1 to 13.5) among Black women; 2.1%age point higher risk (95% confidence interval = -1.1 to 5.2) among Latinas; and inconclusive null findings among Asian and White women. For Latinas, there was evidence of a positive association between the other pollutants and risk of preterm birth, although effect sizes were attenuated in models that co-adjusted for other TRAP.
CONCLUSIONS: Exposure to TRAP, especially black carbon, may increase the risk of preterm birth for Latina and Black women but not for Asian and White women.</dc:description><dc:subject>4202 Epidemiology (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>Climate-Related Exposures and Conditions (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Health Disparities (rcdc)</dc:subject><dc:subject>Infant Mortality (rcdc)</dc:subject><dc:subject>Perinatal Period - Conditions Originating in Perinatal Period (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Health Disparities and Racial or Ethnic Minority Health Research (rcdc)</dc:subject><dc:subject>Minority Health (rcdc)</dc:subject><dc:subject>Social Determinants of Health (rcdc)</dc:subject><dc:subject>Air Pollutants (mesh)</dc:subject><dc:subject>Air Pollution (mesh)</dc:subject><dc:subject>California (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Infant</dc:subject><dc:subject>Newborn (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Pregnancy Outcome (mesh)</dc:subject><dc:subject>Premature Birth (mesh)</dc:subject><dc:subject>Infant Mortality (rcdc)</dc:subject><dc:subject>Pediatric (rcdc)</dc:subject><dc:subject>Preterm</dc:subject><dc:subject>Low Birth Weight and Health of the Newborn (rcdc)</dc:subject><dc:subject>Perinatal Period - Conditions Originating in Perinatal Period (rcdc)</dc:subject><dc:subject>2 Aetiology (hrcs-rac)</dc:subject><dc:subject>2.2 Factors relating to the physical environment (hrcs-rac)</dc:subject><dc:subject>Reproductive health and childbirth (hrcs-hc)</dc:subject><dc:subject>Air pollution</dc:subject><dc:subject>preterm birth</dc:subject><dc:subject>health disparities</dc:subject><dc:subject>Air pollution</dc:subject><dc:subject>preterm birth</dc:subject><dc:subject>health disparities</dc:subject><dc:subject>Air pollution</dc:subject><dc:subject>health disparities</dc:subject><dc:subject>preterm birth</dc:subject><dc:subject>0104 Statistics (for)</dc:subject><dc:subject>1117 Public Health and Health Services (for)</dc:subject><dc:subject>Epidemiology (science-metrix)</dc:subject><dc:subject>4202 Epidemiology (for-2020)</dc:subject><dc:subject>4206 Public health (for-2020)</dc:subject><dc:subject>4905 Statistics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1zz196v5</dc:identifier><dc:identifier>https://escholarship.org/content/qt1zz196v5/qt1zz196v5.pdf</dc:identifier><dc:identifier>info:doi/10.1093/ije/dyab097</dc:identifier><dc:type>article</dc:type><dc:source>International Journal of Epidemiology, vol 50, iss 6</dc:source><dc:coverage>1875 - 1885</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt17p322c7</identifier><datestamp>2026-07-31T09:49:49Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt17p322c7</dc:identifier><dc:title>Seven Oaks Dam Forecast Informed Reservoir Operations Preliminary Viability Assessment</dc:title><dc:creator>Ralph, F M</dc:creator><dc:creator>Talbot, Cary</dc:creator><dc:creator>Dyer, Heather</dc:creator><dc:creator>Anderson, Michael</dc:creator><dc:creator>Christensen, Rebecca</dc:creator><dc:creator>Crisostomo, Van</dc:creator><dc:creator>Fam, Michael</dc:creator><dc:creator>Forbis, Joseph</dc:creator><dc:creator>Haney, Lisa</dc:creator><dc:creator>Laber, Jayme</dc:creator><dc:creator>Miller, Betsy</dc:creator><dc:creator>O'Conor, Mallory</dc:creator><dc:creator>Tyler, James</dc:creator><dc:date>2026-07-01</dc:date><dc:description>This Preliminary Viability Assessment (PVA) was initiated by the Seven Oaks Dam Forecast Informed Reservoir Operations (FIRO) multi-agency Steering Committee in 2023 and follows the workplan completed in 2024. Seven Oaks Dam is operated and maintained by Orange County Flood Control District, San Bernardino County Flood Control District, and Riverside County Flood Control and Water Conservation District for flood risk management. This PVA provides an initial evaluation of the viability of FIRO as a strategy for capturing stormwater to improve water availability for San Bernardino Valley Municipal Water District and Western Municipal Water District, while not impairing and possibly enhancing environmental conditions and flood risk management. The PVA demonstrated that FIRO is viable, and it lays the groundwork for a Final Viability Assessment (FVA) and recommendations for pursuing FIRO at Seven Oaks Dam.</dc:description><dc:subject>forecast informed reservoir operations</dc:subject><dc:subject>FIRO</dc:subject><dc:subject>reservoir management</dc:subject><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/17p322c7</dc:identifier><dc:identifier/><dc:type>multimedia</dc:type></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt40g781fh</identifier><datestamp>2026-07-31T09:47:38Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt40g781fh</dc:identifier><dc:title>TRY plant trait database – enhanced coverage and open access</dc:title><dc:creator>Kattge, Jens</dc:creator><dc:creator>Bönisch, Gerhard</dc:creator><dc:creator>Díaz, Sandra</dc:creator><dc:creator>Lavorel, Sandra</dc:creator><dc:creator>Prentice, Iain Colin</dc:creator><dc:creator>Leadley, Paul</dc:creator><dc:creator>Tautenhahn, Susanne</dc:creator><dc:creator>Werner, Gijsbert DA</dc:creator><dc:creator>Aakala, Tuomas</dc:creator><dc:creator>Abedi, Mehdi</dc:creator><dc:creator>Acosta, Alicia TR</dc:creator><dc:creator>Adamidis, George C</dc:creator><dc:creator>Adamson, Kairi</dc:creator><dc:creator>Aiba, Masahiro</dc:creator><dc:creator>Albert, Cécile H</dc:creator><dc:creator>Alcántara, Julio M</dc:creator><dc:creator>C, Carolina Alcázar</dc:creator><dc:creator>Aleixo, Izabela</dc:creator><dc:creator>Ali, Hamada</dc:creator><dc:creator>Amiaud, Bernard</dc:creator><dc:creator>Ammer, Christian</dc:creator><dc:creator>Amoroso, Mariano M</dc:creator><dc:creator>Anand, Madhur</dc:creator><dc:creator>Anderson, Carolyn</dc:creator><dc:creator>Anten, Niels</dc:creator><dc:creator>Antos, Joseph</dc:creator><dc:creator>Apgaua, Deborah Mattos Guimarães</dc:creator><dc:creator>Ashman, Tia‐Lynn</dc:creator><dc:creator>Asmara, Degi Harja</dc:creator><dc:creator>Asner, Gregory P</dc:creator><dc:creator>Aspinwall, Michael</dc:creator><dc:creator>Atkin, Owen</dc:creator><dc:creator>Aubin, Isabelle</dc:creator><dc:creator>Baastrup‐Spohr, Lars</dc:creator><dc:creator>Bahalkeh, Khadijeh</dc:creator><dc:creator>Bahn, Michael</dc:creator><dc:creator>Baker, Timothy</dc:creator><dc:creator>Baker, William J</dc:creator><dc:creator>Bakker, Jan P</dc:creator><dc:creator>Baldocchi, Dennis</dc:creator><dc:creator>Baltzer, Jennifer</dc:creator><dc:creator>Banerjee, Arindam</dc:creator><dc:creator>Baranger, Anne</dc:creator><dc:creator>Barlow, Jos</dc:creator><dc:creator>Barneche, Diego R</dc:creator><dc:creator>Baruch, Zdravko</dc:creator><dc:creator>Bastianelli, Denis</dc:creator><dc:creator>Battles, John</dc:creator><dc:creator>Bauerle, William</dc:creator><dc:creator>Bauters, Marijn</dc:creator><dc:creator>Bazzato, Erika</dc:creator><dc:creator>Beckmann, Michael</dc:creator><dc:creator>Beeckman, Hans</dc:creator><dc:creator>Beierkuhnlein, Carl</dc:creator><dc:creator>Bekker, Renee</dc:creator><dc:creator>Belfry, Gavin</dc:creator><dc:creator>Belluau, Michael</dc:creator><dc:creator>Beloiu, Mirela</dc:creator><dc:creator>Benavides, Raquel</dc:creator><dc:creator>Benomar, Lahcen</dc:creator><dc:creator>Berdugo‐Lattke, Mary Lee</dc:creator><dc:creator>Berenguer, Erika</dc:creator><dc:creator>Bergamin, Rodrigo</dc:creator><dc:creator>Bergmann, Joana</dc:creator><dc:creator>Carlucci, Marcos Bergmann</dc:creator><dc:creator>Berner, Logan</dc:creator><dc:creator>Bernhardt‐Römermann, Markus</dc:creator><dc:creator>Bigler, Christof</dc:creator><dc:creator>Bjorkman, Anne D</dc:creator><dc:creator>Blackman, Chris</dc:creator><dc:creator>Blanco, Carolina</dc:creator><dc:creator>Blonder, Benjamin</dc:creator><dc:creator>Blumenthal, Dana</dc:creator><dc:creator>Bocanegra‐González, Kelly T</dc:creator><dc:creator>Boeckx, Pascal</dc:creator><dc:creator>Bohlman, Stephanie</dc:creator><dc:creator>Böhning‐Gaese, Katrin</dc:creator><dc:creator>Boisvert‐Marsh, Laura</dc:creator><dc:creator>Bond, William</dc:creator><dc:creator>Bond‐Lamberty, Ben</dc:creator><dc:creator>Boom, Arnoud</dc:creator><dc:creator>Boonman, Coline CF</dc:creator><dc:creator>Bordin, Kauane</dc:creator><dc:creator>Boughton, Elizabeth H</dc:creator><dc:creator>Boukili, Vanessa</dc:creator><dc:creator>Bowman, David MJS</dc:creator><dc:creator>Bravo, Sandra</dc:creator><dc:creator>Brendel, Marco Richard</dc:creator><dc:creator>Broadley, Martin R</dc:creator><dc:creator>Brown, Kerry A</dc:creator><dc:creator>Bruelheide, Helge</dc:creator><dc:creator>Brumnich, Federico</dc:creator><dc:creator>Bruun, Hans Henrik</dc:creator><dc:creator>Bruy, David</dc:creator><dc:creator>Buchanan, Serra W</dc:creator><dc:creator>Bucher, Solveig Franziska</dc:creator><dc:creator>Buchmann, Nina</dc:creator><dc:creator>Buitenwerf, Robert</dc:creator><dc:creator>Bunker, Daniel E</dc:creator><dc:creator>Bürger, Jana</dc:creator><dc:date>2020-01-01</dc:date><dc:description>Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.</dc:description><dc:subject>4101 Climate Change Impacts and Adaptation (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>3103 Ecology (for-2020)</dc:subject><dc:subject>41 Environmental Sciences (for-2020)</dc:subject><dc:subject>Access to Information (mesh)</dc:subject><dc:subject>Biodiversity (mesh)</dc:subject><dc:subject>Ecology (mesh)</dc:subject><dc:subject>Ecosystem (mesh)</dc:subject><dc:subject>Plants (mesh)</dc:subject><dc:subject>data coverage</dc:subject><dc:subject>data integration</dc:subject><dc:subject>data representativeness</dc:subject><dc:subject>functional diversity</dc:subject><dc:subject>plant traits</dc:subject><dc:subject>TRY plant trait database</dc:subject><dc:subject>Nutrient Network</dc:subject><dc:subject>Plants (mesh)</dc:subject><dc:subject>Ecology (mesh)</dc:subject><dc:subject>Ecosystem (mesh)</dc:subject><dc:subject>Biodiversity (mesh)</dc:subject><dc:subject>Access to Information (mesh)</dc:subject><dc:subject>TRY plant trait database</dc:subject><dc:subject>data coverage</dc:subject><dc:subject>data integration</dc:subject><dc:subject>data representativeness</dc:subject><dc:subject>functional diversity</dc:subject><dc:subject>plant traits</dc:subject><dc:subject>Access to Information (mesh)</dc:subject><dc:subject>Biodiversity (mesh)</dc:subject><dc:subject>Ecology (mesh)</dc:subject><dc:subject>Ecosystem (mesh)</dc:subject><dc:subject>Plants (mesh)</dc:subject><dc:subject>05 Environmental Sciences (for)</dc:subject><dc:subject>06 Biological Sciences (for)</dc:subject><dc:subject>Ecology (science-metrix)</dc:subject><dc:subject>31 Biological sciences (for-2020)</dc:subject><dc:subject>37 Earth sciences (for-2020)</dc:subject><dc:subject>41 Environmental sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/40g781fh</dc:identifier><dc:identifier>https://escholarship.org/content/qt40g781fh/qt40g781fh.pdf</dc:identifier><dc:identifier>info:doi/10.1111/gcb.14904</dc:identifier><dc:type>article</dc:type><dc:source>Global Change Biology, vol 26, iss 1</dc:source><dc:coverage>119 - 188</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3mg3w7t1</identifier><datestamp>2026-07-31T09:47:10Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3mg3w7t1</dc:identifier><dc:title>HIV Testing and PrEP Use in a National Probability Sample of Sexually Active Transgender People in the United States</dc:title><dc:creator>Sevelius, Jae M</dc:creator><dc:creator>Poteat, Tonia</dc:creator><dc:creator>Luhur, Winston E</dc:creator><dc:creator>Reisner, Sari L</dc:creator><dc:creator>Meyer, Ilan H</dc:creator><dc:date>2020-08-15</dc:date><dc:description>BACKGROUND: HIV testing and pre-exposure prophylaxis (PrEP) are effective HIV prevention strategies often underused by transgender people.
METHODS: Recruitment occurred in 2 phases to identify transgender respondents in a probability sample of adults in the United States. Transgender respondents completed a self-administered paper or web-based survey designed to assess transgender population health. Sexually active respondents (HIV-negative and had sex in the 5 years previously, N = 190) and a subsample of those at risk for sexual HIV acquisition (sex with cisgender men or transgender women, n = 120) were included in analyses.
RESULTS: Of the full sample of sexually active respondents, those who were transfeminine were less likely to be familiar with PrEP; most (72%) reported favorable attitudes toward PrEP. Of those at risk for HIV acquisition, 23% had never tested for HIV. Respondents of color were more likely than white respondents to meet Centers for Disease Control and Prevention recommendations for HIV testing. Respondents who met Centers for Disease Control and Prevention recommendations for HIV testing were more likely to report looking online for lesbian, gay, bisexual, and transgender or transgender-specific health information. Few respondents reported currently taking PrEP (3%); those who reported higher levels of nonaffirmation of their gender identity were less likely to currently use PrEP.
DISCUSSION: These findings may indicate some success of HIV testing outreach programs that prioritize people at higher risk for acquiring HIV, focusing on those who are vulnerable to structural marginalization. Ongoing public health efforts are needed to increase HIV testing and PrEP awareness among transgender adults, who are disproportionately impacted by HIV.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>4206 Public Health (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>3202 Clinical Sciences (for-2020)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Health Disparities and Racial or Ethnic Minority Health Research (rcdc)</dc:subject><dc:subject>Health Disparities (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>HIV/AIDS (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Infectious Diseases (rcdc)</dc:subject><dc:subject>Social Determinants of Health (rcdc)</dc:subject><dc:subject>Sexual and Gender Minorities (SGM/LGBT*) (rcdc)</dc:subject><dc:subject>3.1 Primary prevention interventions to modify behaviours or promote wellbeing (hrcs-rac)</dc:subject><dc:subject>Infection (hrcs-hc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Anti-HIV Agents (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>HIV Infections (mesh)</dc:subject><dc:subject>HIV Testing (mesh)</dc:subject><dc:subject>HIV-1 (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Pre-Exposure Prophylaxis (mesh)</dc:subject><dc:subject>Transgender Persons (mesh)</dc:subject><dc:subject>United States (mesh)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Mental Health (rcdc)</dc:subject><dc:subject>Infectious Diseases (rcdc)</dc:subject><dc:subject>HIV/AIDS (rcdc)</dc:subject><dc:subject>Pediatric (rcdc)</dc:subject><dc:subject>Sexual and Gender Minorities (SGM/LGBT*) (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Pediatric AIDS (rcdc)</dc:subject><dc:subject>Infection (hrcs-hc)</dc:subject><dc:subject>HIV testing</dc:subject><dc:subject>pre-exposure prophylaxis</dc:subject><dc:subject>transgender</dc:subject><dc:subject>PrEP knowledge</dc:subject><dc:subject>PrEP use</dc:subject><dc:subject>probability sample</dc:subject><dc:subject>1103 Clinical Sciences (for)</dc:subject><dc:subject>1117 Public Health and Health Services (for)</dc:subject><dc:subject>Virology (science-metrix)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:subject>4202 Epidemiology (for-2020)</dc:subject><dc:subject>4206 Public health (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY-NC-ND</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3mg3w7t1</dc:identifier><dc:identifier>https://escholarship.org/content/qt3mg3w7t1/qt3mg3w7t1.pdf</dc:identifier><dc:identifier>info:doi/10.1097/qai.0000000000002403</dc:identifier><dc:type>article</dc:type><dc:source>JAIDS Journal of Acquired Immune Deficiency Syndromes, vol 84, iss 5</dc:source><dc:coverage>437 - 442</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4wv5990p</identifier><datestamp>2026-07-31T09:42:48Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4wv5990p</dc:identifier><dc:title>Measurements of the Higgs boson production and decay rates and constraints on its couplings from a combined ATLAS and CMS analysis of the LHC pp collision data at s=7 and 8 TeV</dc:title><dc:creator>The ATLAS collaboration</dc:creator><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abdallah, J</dc:creator><dc:creator>Abdinov, O</dc:creator><dc:creator>Abeloos, B</dc:creator><dc:creator>Aben, R</dc:creator><dc:creator>AbouZeid, OS</dc:creator><dc:creator>Abraham, NL</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abreu, R</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adams, DL</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adomeit, S</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Agatonovic-Jovin, T</dc:creator><dc:creator>Agricola, J</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahlen, SP</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Akerstedt, H</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Albrand, S</dc:creator><dc:creator>Alconada Verzini, MJ</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexander, G</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Aliev, M</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Alison, J</dc:creator><dc:creator>Alkire, SP</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allen, BW</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Alstaty, M</dc:creator><dc:creator>Alvarez Gonzalez, B</dc:creator><dc:creator>Álvarez Piqueras, D</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Amadio, BT</dc:creator><dc:creator>Amako, K</dc:creator><dc:creator>Amaral Coutinho, Y</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Amor Dos Santos, SP</dc:creator><dc:creator>Amorim, A</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Amundsen, G</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Ancu, LS</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, G</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Anderson, KJ</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angelozzi, I</dc:creator><dc:creator>Anger, P</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anghinolfi, F</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Anjos, N</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antonov, A</dc:creator><dc:creator>Antos, J</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Aperio Bella, L</dc:creator><dc:creator>Arabidze, G</dc:creator><dc:creator>Arai, Y</dc:creator><dc:creator>Araque, JP</dc:creator><dc:creator>Arce, ATH</dc:creator><dc:creator>Arduh, FA</dc:creator><dc:creator>Arguin, J-F</dc:creator><dc:creator>Argyropoulos, S</dc:creator><dc:creator>Arik, M</dc:creator><dc:creator>Armbruster, AJ</dc:creator><dc:creator>Armitage, LJ</dc:creator><dc:creator>Arnaez, O</dc:creator><dc:creator>Arnold, H</dc:creator><dc:creator>Arratia, M</dc:creator><dc:date>2016-08-01</dc:date><dc:description>Combined ATLAS and CMS measurements of the Higgs boson production and decay rates, as well as constraints on its couplings to vector bosons and fermions, are presented. The combination is based on the analysis of five production processes, namely gluon fusion, vector boson fusion, and associated production with a W or a Z boson or a pair of top quarks, and of the six decay modes H → ZZ, W W , γγ, ττ, bb, and μμ. All results are reported assuming a value of 125.09 GeV for the Higgs boson mass, the result of the combined measurement by the ATLAS and CMS experiments. The analysis uses the CERN LHC proton-proton collision data recorded by the ATLAS and CMS experiments in 2011 and 2012, corresponding to integrated luminosities per experiment of approximately 5 fb−1 at s=7$$ \sqrt{s}=7 $$ TeV and 20 fb−1 at s=8$$ \sqrt{s}=8 $$ TeV. The Higgs boson production and decay rates measured by the two experiments are combined within the context of three generic parameterisations: two based on cross sections and branching fractions, and one on ratios of coupling modifiers. Several interpretations of the measurements with more model-dependent parameterisations are also given. The combined signal yield relative to the Standard Model prediction is measured to be 1.09 ± 0.11. The combined measurements lead to observed significances for the vector boson fusion production process and for the H → ττ decay of 5.4 and 5.5 standard deviations, respectively. The data are consistent with the Standard Model predictions for all parameterisations considered.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>Hadron-Hadron scattering (experiments)</dc:subject><dc:subject>Higgs physics</dc:subject><dc:subject>Hadron-Hadron scattering (experiments)</dc:subject><dc:subject>Higgs physics</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>0105 Mathematical Physics (for)</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>0206 Quantum Physics (for)</dc:subject><dc:subject>Nuclear &amp; Particles Physics (science-metrix)</dc:subject><dc:subject>4902 Mathematical physics (for-2020)</dc:subject><dc:subject>5106 Nuclear and plasma physics (for-2020)</dc:subject><dc:subject>5107 Particle and high energy physics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4wv5990p</dc:identifier><dc:identifier>https://escholarship.org/content/qt4wv5990p/qt4wv5990p.pdf</dc:identifier><dc:identifier>info:doi/10.1007/jhep08(2016)045</dc:identifier><dc:type>article</dc:type><dc:source>Journal of High Energy Physics, vol 2016, iss 8</dc:source><dc:coverage>45</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt31x037f6</identifier><datestamp>2026-07-31T09:42:00Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt31x037f6</dc:identifier><dc:title>Mapping opioid exposure through prescription data and postmortem analysis of opioid drugs in multiple tissues</dc:title><dc:creator>Higgins, Niamh</dc:creator><dc:creator>Wells, Alan</dc:creator><dc:creator>Patel, Nimish</dc:creator><dc:creator>Muttera, Nicole</dc:creator><dc:creator>Trunfio, Mattia</dc:creator><dc:creator>Manca, Alessandra</dc:creator><dc:creator>De Nicolò, Amedeo</dc:creator><dc:creator>Ferrara, Micol</dc:creator><dc:creator>Bonora, Stefano</dc:creator><dc:creator>Cusato, Jessica</dc:creator><dc:creator>Palermiti, Alice</dc:creator><dc:creator>D'Avolio, Antonio</dc:creator><dc:creator>Borochoff, Marissa</dc:creator><dc:creator>Riggs, Patricia K</dc:creator><dc:creator>Hastie, Elizabeth</dc:creator><dc:creator>Atayee, Rabia S</dc:creator><dc:creator>Solso, Stephanie</dc:creator><dc:creator>Dullano, Cheryl</dc:creator><dc:creator>Gomez‐Moreno, Vanessa</dc:creator><dc:creator>Tenenbaum, Tara</dc:creator><dc:creator>Deiss, Robert</dc:creator><dc:creator>Smith, Davey M</dc:creator><dc:creator>Chaillon, Antoine</dc:creator><dc:creator>Gianella, Sara</dc:creator><dc:date>2026-03-30</dc:date><dc:description>BACKGROUND AND PURPOSE: Although opioids are central to end of life (EoL) care, tissue-level opioid exposure remains poorly understood. The objective of this study was to characterize the relationship between prescription-derived morphine equivalent daily dose (MEDD) and measured morphine concentrations across multiple organs.
EXPERIMENTAL APPROACH: We analysed data from the Last Gift cohort, a community-centred HIV research rapid autopsy programme. Cumulative MEDD for the final 7 and 30 days before death (MEDD-7, MEDD-30) was calculated using prescription data. Postmortem samples from multiple organs were analysed using ultra-high-performance liquid chromatography with tandem mass spectrometry to quantify opioids. Mixed-effects regression models and Pearson correlations evaluated relationships between MEDD and tissue morphine concentrations.
KEY RESULTS: Among 261 samples from 27 participants (median age 65 years), 96% had ≥1 detectable opioid. Morphine was most frequently prescribed (78%), followed by fentanyl (41%), hydromorphone (37%), and oxycodone (33%). Median MEDD-7 and MEDD-30 were 940 (IQR 158-3481) and 3430 (IQR 563-9972), respectively. Morphine concentrations were highest in the ascending colon, kidney, duodenum, and liver, and lowest in adipose tissue and cerebrospinal fluid. Tissue morphine concentrations correlated with both MEDD-7 and MEDD-30 (e.g., medulla r = .80; spinal cord r = .77; parietal cortex r = .72; all p &amp;lt; .01). In adjusted mixed-effects models, each 10-fold increase in MEDD-7/-30 predicted a 3.7- to 3.8-fold increase in tissue morphine concentration.
CONCLUSION AND IMPLICATIONS: Prescription-based morphine exposure was strongly associated with morphine tissue concentrations across multiple organs, providing a quantitative framework for integrating pharmacologic data into EoL research.</dc:description><dc:subject>drug distribution</dc:subject><dc:subject>end-of-life research</dc:subject><dc:subject>HIV</dc:subject><dc:subject>morphine</dc:subject><dc:subject>opioid analgesics</dc:subject><dc:subject>pharmacokinetics</dc:subject><dc:subject>translational pharmacology</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Morphine (mesh)</dc:subject><dc:subject>Analgesics</dc:subject><dc:subject>Opioid (mesh)</dc:subject><dc:subject>Terminal Care (mesh)</dc:subject><dc:subject>Autopsy (mesh)</dc:subject><dc:subject>Chromatography</dc:subject><dc:subject>High Pressure Liquid (mesh)</dc:subject><dc:subject>Tissue Distribution (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Tandem Mass Spectrometry (mesh)</dc:subject><dc:subject>HIV</dc:subject><dc:subject>drug distribution</dc:subject><dc:subject>end‐of‐life research</dc:subject><dc:subject>morphine</dc:subject><dc:subject>opioid analgesics</dc:subject><dc:subject>pharmacokinetics</dc:subject><dc:subject>translational pharmacology</dc:subject><dc:subject>1115 Pharmacology and Pharmaceutical Sciences (for)</dc:subject><dc:subject>Pharmacology &amp; Pharmacy (science-metrix)</dc:subject><dc:subject>3214 Pharmacology and pharmaceutical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/31x037f6</dc:identifier><dc:identifier>https://escholarship.org/content/qt31x037f6/qt31x037f6.pdf</dc:identifier><dc:identifier>info:doi/10.1002/bcp.70535</dc:identifier><dc:type>article</dc:type><dc:source>British Journal of Clinical Pharmacology, vol 92, iss 8</dc:source><dc:coverage>2624 - 2635</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0cj4d194</identifier><datestamp>2026-07-31T09:41:49Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0cj4d194</dc:identifier><dc:title>A Fully Automated Approach to Spike Sorting</dc:title><dc:creator>Chung, Jason E</dc:creator><dc:creator>Magland, Jeremy F</dc:creator><dc:creator>Barnett, Alex H</dc:creator><dc:creator>Tolosa, Vanessa M</dc:creator><dc:creator>Tooker, Angela C</dc:creator><dc:creator>Lee, Kye Y</dc:creator><dc:creator>Shah, Kedar G</dc:creator><dc:creator>Felix, Sarah H</dc:creator><dc:creator>Frank, Loren M</dc:creator><dc:creator>Greengard, Leslie F</dc:creator><dc:date>2017-09-01</dc:date><dc:description>Understanding the detailed dynamics of neuronal networks will require the simultaneous measurement of spike trains from hundreds of neurons (or more). Currently, approaches to extracting spike times and labels from raw data are time consuming, lack standardization, and involve manual intervention, making it difficult to maintain data provenance and assess the quality of scientific results. Here, we describe an automated clustering approach and associated software package that addresses these problems and provides novel cluster quality metrics. We show that our approach has accuracy comparable to or exceeding that achieved using manual or semi-manual techniques with desktop central processing unit (CPU) runtimes faster than acquisition time for up to hundreds of electrodes. Moreover, a&amp;nbsp;single choice of parameters in the algorithm is effective for a variety of electrode geometries and across multiple brain regions. This algorithm has the potential to enable reproducible and automated spike sorting of larger scale recordings than is currently possible.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Bioengineering (rcdc)</dc:subject><dc:subject>Networking and Information Technology R&amp;D (NITRD) (rcdc)</dc:subject><dc:subject>Action Potentials (mesh)</dc:subject><dc:subject>Algorithms (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Automation (mesh)</dc:subject><dc:subject>Brain (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Neurons (mesh)</dc:subject><dc:subject>Rats (mesh)</dc:subject><dc:subject>Signal Processing</dc:subject><dc:subject>Computer-Assisted (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>Brain (mesh)</dc:subject><dc:subject>Neurons (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Rats (mesh)</dc:subject><dc:subject>Action Potentials (mesh)</dc:subject><dc:subject>Algorithms (mesh)</dc:subject><dc:subject>Automation (mesh)</dc:subject><dc:subject>Signal Processing</dc:subject><dc:subject>Computer-Assisted (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>automated</dc:subject><dc:subject>cluster metrics</dc:subject><dc:subject>clustering</dc:subject><dc:subject>cortex</dc:subject><dc:subject>hippocampus</dc:subject><dc:subject>reproducibility</dc:subject><dc:subject>spike sorting</dc:subject><dc:subject>Action Potentials (mesh)</dc:subject><dc:subject>Algorithms (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Automation (mesh)</dc:subject><dc:subject>Brain (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Neurons (mesh)</dc:subject><dc:subject>Rats (mesh)</dc:subject><dc:subject>Signal Processing</dc:subject><dc:subject>Computer-Assisted (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>1109 Neurosciences (for)</dc:subject><dc:subject>1701 Psychology (for)</dc:subject><dc:subject>1702 Cognitive Sciences (for)</dc:subject><dc:subject>Neurology &amp; Neurosurgery (science-metrix)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:subject>5202 Biological psychology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0cj4d194</dc:identifier><dc:identifier>https://escholarship.org/content/qt0cj4d194/qt0cj4d194.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.neuron.2017.08.030</dc:identifier><dc:type>article</dc:type><dc:source>Neuron, vol 95, iss 6</dc:source><dc:coverage>1381 - 1394.e6</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt44q8d96b</identifier><datestamp>2026-07-31T09:41:37Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt44q8d96b</dc:identifier><dc:title>Multiparticle correlation studies in pPb collisions at sNN=8.16 TeV</dc:title><dc:creator>Sirunyan, AM</dc:creator><dc:creator>Tumasyan, A</dc:creator><dc:creator>Adam, W</dc:creator><dc:creator>Ambrogi, F</dc:creator><dc:creator>Asilar, E</dc:creator><dc:creator>Bergauer, T</dc:creator><dc:creator>Brandstetter, J</dc:creator><dc:creator>Dragicevic, M</dc:creator><dc:creator>Erö, J</dc:creator><dc:creator>Del Valle, A Escalante</dc:creator><dc:creator>Flechl, M</dc:creator><dc:creator>Frühwirth, R</dc:creator><dc:creator>Ghete, VM</dc:creator><dc:creator>Hrubec, J</dc:creator><dc:creator>Jeitler, M</dc:creator><dc:creator>Krammer, N</dc:creator><dc:creator>Krätschmer, I</dc:creator><dc:creator>Liko, D</dc:creator><dc:creator>Madlener, T</dc:creator><dc:creator>Mikulec, I</dc:creator><dc:creator>Rad, N</dc:creator><dc:creator>Rohringer, H</dc:creator><dc:creator>Schieck, J</dc:creator><dc:creator>Schöfbeck, R</dc:creator><dc:creator>Spanring, M</dc:creator><dc:creator>Spitzbart, D</dc:creator><dc:creator>Waltenberger, W</dc:creator><dc:creator>Wittmann, J</dc:creator><dc:creator>Wulz, C-E</dc:creator><dc:creator>Zarucki, M</dc:creator><dc:creator>Chekhovsky, V</dc:creator><dc:creator>Mossolov, V</dc:creator><dc:creator>Gonzalez, J Suarez</dc:creator><dc:creator>De Wolf, EA</dc:creator><dc:creator>Di Croce, D</dc:creator><dc:creator>Janssen, X</dc:creator><dc:creator>Lauwers, J</dc:creator><dc:creator>Lelek, A</dc:creator><dc:creator>Pieters, M</dc:creator><dc:creator>Van Haevermaet, H</dc:creator><dc:creator>Van Mechelen, P</dc:creator><dc:creator>Van Remortel, N</dc:creator><dc:creator>Abu Zeid, S</dc:creator><dc:creator>Blekman, F</dc:creator><dc:creator>D'Hondt, J</dc:creator><dc:creator>De Clercq, J</dc:creator><dc:creator>Deroover, K</dc:creator><dc:creator>Flouris, G</dc:creator><dc:creator>Lontkovskyi, D</dc:creator><dc:creator>Lowette, S</dc:creator><dc:creator>Marchesini, I</dc:creator><dc:creator>Moortgat, S</dc:creator><dc:creator>Moreels, L</dc:creator><dc:creator>Python, Q</dc:creator><dc:creator>Skovpen, K</dc:creator><dc:creator>Tavernier, S</dc:creator><dc:creator>Van Doninck, W</dc:creator><dc:creator>Van Mulders, P</dc:creator><dc:creator>Van Parijs, I</dc:creator><dc:creator>Beghin, D</dc:creator><dc:creator>Bilin, B</dc:creator><dc:creator>Brun, H</dc:creator><dc:creator>Clerbaux, B</dc:creator><dc:creator>De Lentdecker, G</dc:creator><dc:creator>Delannoy, H</dc:creator><dc:creator>Dorney, B</dc:creator><dc:creator>Fasanella, G</dc:creator><dc:creator>Favart, L</dc:creator><dc:creator>Grebenyuk, A</dc:creator><dc:creator>Kalsi, AK</dc:creator><dc:creator>Lenzi, T</dc:creator><dc:creator>Luetic, J</dc:creator><dc:creator>Postiau, N</dc:creator><dc:creator>Starling, E</dc:creator><dc:creator>Thomas, L</dc:creator><dc:creator>Vander Velde, C</dc:creator><dc:creator>Vanlaer, P</dc:creator><dc:creator>Vannerom, D</dc:creator><dc:creator>Wang, Q</dc:creator><dc:creator>Cornelis, T</dc:creator><dc:creator>Dobur, D</dc:creator><dc:creator>Fagot, A</dc:creator><dc:creator>Gul, M</dc:creator><dc:creator>Khvastunov, I</dc:creator><dc:creator>Poyraz, D</dc:creator><dc:creator>Roskas, C</dc:creator><dc:creator>Trocino, D</dc:creator><dc:creator>Tytgat, M</dc:creator><dc:creator>Verbeke, W</dc:creator><dc:creator>Vermassen, B</dc:creator><dc:creator>Vit, M</dc:creator><dc:creator>Zaganidis, N</dc:creator><dc:creator>Bakhshiansohi, H</dc:creator><dc:creator>Bondu, O</dc:creator><dc:creator>Bruno, G</dc:creator><dc:creator>Caputo, C</dc:creator><dc:creator>David, P</dc:creator><dc:creator>Delaere, C</dc:creator><dc:creator>Delcourt, M</dc:creator><dc:creator>Giammanco, A</dc:creator><dc:date>2020-01-01</dc:date><dc:description>The second- and third-order azimuthal anisotropy Fourier harmonics of charged particles produced in pPb collisions, at sNN=8.16TeV, are studied over a wide range of event multiplicities. Multiparticle correlations are used to isolate global properties stemming from the collision overlap geometry. The second-order “elliptic” harmonic moment is obtained with high precision through four-, six-, and eight-particle correlations and, for the first time, the third-order “triangular” harmonic moment is studied using four-particle correlations. A sample of peripheral PbPb collisions at sNN=5.02TeV that covers a similar range of event multiplicities as the pPb results is also analyzed. Model calculations of initial-state fluctuations in pPb and PbPb collisions can be directly compared to the high-precision experimental results. This work provides new insight into the fluctuation-driven origin of the v3 coefficients in pPb and PbPb collisions, and into the dominating overall collision geometry in PbPb collisions at the earliest stages of heavy ion interactions.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>nucl-ex</dc:subject><dc:subject>5106 Nuclear and plasma physics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/44q8d96b</dc:identifier><dc:identifier>https://escholarship.org/content/qt44q8d96b/qt44q8d96b.pdf</dc:identifier><dc:identifier>info:doi/10.1103/physrevc.101.014912</dc:identifier><dc:type>article</dc:type><dc:source>Physical Review C, vol 101, iss 1</dc:source><dc:coverage>014912</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt08r9z1k5</identifier><datestamp>2026-07-31T09:41:15Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt08r9z1k5</dc:identifier><dc:title>Combination of searches for heavy resonances decaying into bosonic and leptonic final states using 36 fb-1 of proton-proton collision data at s=13 TeV with the ATLAS detector</dc:title><dc:creator>Aaboud, M</dc:creator><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abdinov, O</dc:creator><dc:creator>Abeloos, B</dc:creator><dc:creator>Abhayasinghe, DK</dc:creator><dc:creator>Abidi, SH</dc:creator><dc:creator>AbouZeid, OS</dc:creator><dc:creator>Abraham, NL</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Adachi, S</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adersberger, M</dc:creator><dc:creator>Adiguzel, A</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Afik, Y</dc:creator><dc:creator>Agheorghiesei, C</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Akatsuka, S</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akilli, E</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Albicocco, P</dc:creator><dc:creator>Verzini, MJ Alconada</dc:creator><dc:creator>Alderweireldt, S</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Ali, B</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Alison, J</dc:creator><dc:creator>Alkire, SP</dc:creator><dc:creator>Allaire, C</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allen, BW</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Alshehri, AA</dc:creator><dc:creator>Alstaty, MI</dc:creator><dc:creator>Gonzalez, B Alvarez</dc:creator><dc:creator>Piqueras, D Álvarez</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Amadio, BT</dc:creator><dc:creator>Coutinho, Y Amaral</dc:creator><dc:creator>Ambroz, L</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Dos Santos, SP Amor</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Amrouche, CS</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Ancu, LS</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Anderson, KJ</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Anelli, CR</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angelozzi, I</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antel, C</dc:creator><dc:creator>Anthony, MT</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antrim, DJA</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Pozo, JA Aparisi</dc:creator><dc:creator>Bella, L Aperio</dc:creator><dc:creator>Arabidze, G</dc:creator><dc:creator>Araque, JP</dc:creator><dc:creator>Ferraz, V Araujo</dc:creator><dc:creator>Pereira, R Araujo</dc:creator><dc:creator>Arce, ATH</dc:creator><dc:creator>Ardell, RE</dc:creator><dc:creator>Arduh, FA</dc:creator><dc:creator>Arguin, J-F</dc:creator><dc:creator>Argyropoulos, S</dc:creator><dc:creator>Armbruster, AJ</dc:creator><dc:creator>Armitage, LJ</dc:creator><dc:creator>Armstrong, A</dc:creator><dc:creator>Arnaez, O</dc:creator><dc:date>2018-09-01</dc:date><dc:description>Searches for new heavy resonances decaying into different pairings of W, Z, or Higgs bosons, as well as directly into leptons, are presented using a data sample corresponding to 36.1 fb-1 of pp collisions at s=13 TeV collected during 2015 and 2016 with the ATLAS detector at the CERN Large Hadron Collider. Analyses selecting bosonic decay modes in the qqqq, ννqq, ℓνqq, ℓℓqq, ℓνℓν, ℓℓνν, ℓνℓℓ, ℓℓℓℓ, qqbb, ννbb, ℓνbb, and ℓℓbb final states are combined, searching for a narrow-width resonance. Likewise, analyses selecting the leptonic ℓν and ℓℓ final states are also combined. These two sets of analyses are then further combined. No significant deviation from the Standard Model predictions is observed. Three benchmark models are tested: a model predicting the existence of a new heavy scalar singlet, a simplified model predicting a heavy vector-boson triplet, and a bulk Randall-Sundrum model with a heavy spin-2 Kaluza-Klein excitation of the graviton. Cross section limits are set at the 95% confidence level using an asymptotic approximation and are compared with predictions for the benchmark models. These limits are also expressed in terms of constraints on couplings of the heavy vector-boson triplet to quarks, leptons, and the Higgs boson. The data exclude a heavy vector-boson triplet with mass below 5.5 TeV in a weakly coupled scenario and 4.5 TeV in a strongly coupled scenario, as well as a Kaluza-Klein graviton with mass below 2.3 TeV.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/08r9z1k5</dc:identifier><dc:identifier>https://escholarship.org/content/qt08r9z1k5/qt08r9z1k5.pdf</dc:identifier><dc:identifier>info:doi/10.1103/physrevd.98.052008</dc:identifier><dc:type>article</dc:type><dc:source>Physical Review D, vol 98, iss 5</dc:source><dc:coverage>052008</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt40h0427h</identifier><datestamp>2026-07-31T09:38:57Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt40h0427h</dc:identifier><dc:title>Evidence for the associated production of the Higgs boson and a top quark pair with the ATLAS detector</dc:title><dc:creator>Aaboud, M</dc:creator><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abdinov, O</dc:creator><dc:creator>Abeloos, B</dc:creator><dc:creator>Abidi, SH</dc:creator><dc:creator>AbouZeid, OS</dc:creator><dc:creator>Abraham, NL</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Adachi, S</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adersberger, M</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Afik, Y</dc:creator><dc:creator>Agheorghiesei, C</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahlen, SP</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Akatsuka, S</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akilli, E</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Albicocco, P</dc:creator><dc:creator>Verzini, MJ Alconada</dc:creator><dc:creator>Alderweireldt, SC</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexander, G</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Ali, B</dc:creator><dc:creator>Aliev, M</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Alison, J</dc:creator><dc:creator>Alkire, SP</dc:creator><dc:creator>Allaire, C</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allen, BW</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Alshehri, AA</dc:creator><dc:creator>Alstaty, MI</dc:creator><dc:creator>Gonzalez, B Alvarez</dc:creator><dc:creator>Piqueras, D Álvarez</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Amadio, BT</dc:creator><dc:creator>Coutinho, Y Amaral</dc:creator><dc:creator>Ambroz, L</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Dos Santos, SP Amor</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Ancu, LS</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Anderson, KJ</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angelozzi, I</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antel, C</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antonov, A</dc:creator><dc:creator>Antrim, DJ</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Bella, L Aperio</dc:creator><dc:creator>Arabidze, G</dc:creator><dc:creator>Arai, Y</dc:creator><dc:creator>Araque, JP</dc:creator><dc:creator>Ferraz, V Araujo</dc:creator><dc:creator>Arce, ATH</dc:creator><dc:creator>Ardell, RE</dc:creator><dc:creator>Arduh, FA</dc:creator><dc:creator>Arguin, J-F</dc:creator><dc:creator>Argyropoulos, S</dc:creator><dc:creator>Armbruster, AJ</dc:creator><dc:creator>Armitage, LJ</dc:creator><dc:creator>Arnaez, O</dc:creator><dc:creator>Arnold, H</dc:creator><dc:creator>Arratia, M</dc:creator><dc:creator>Arslan, O</dc:creator><dc:date>2018-04-01</dc:date><dc:description>A search for the associated production of the Higgs boson with a top quark pair (tt¯H) is reported. The search is performed in multilepton final states using a data set corresponding to an integrated luminosity of 36.1 fb-1 of proton-proton collision data recorded by the ATLAS experiment at a center-of-mass energy s=13 TeV at the Large Hadron Collider. Higgs boson decays to WW*, ττ, and ZZ* are targeted. Seven final states, categorized by the number and flavor of charged-lepton candidates, are examined for the presence of the Standard Model Higgs boson with a mass of 125 GeV and a pair of top quarks. An excess of events over the expected background from Standard Model processes is found with an observed significance of 4.1 standard deviations, compared to an expectation of 2.8 standard deviations. The best fit for the tt¯H production cross section is σ(tt¯H)=790-210+230 fb, in agreement with the Standard Model prediction of 507-50+35 fb. The combination of this result with other tt¯H searches from the ATLAS experiment using the Higgs boson decay modes to bb¯, γγ and ZZ*→4ℓ, has an observed significance of 4.2 standard deviations, compared to an expectation of 3.8 standard deviations. This provides evidence for the tt¯H production mode.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/40h0427h</dc:identifier><dc:identifier>https://escholarship.org/content/qt40h0427h/qt40h0427h.pdf</dc:identifier><dc:identifier>info:doi/10.1103/physrevd.97.072003</dc:identifier><dc:type>article</dc:type><dc:source>Physical Review D, vol 97, iss 7</dc:source><dc:coverage>072003</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt69z9z8b6</identifier><datestamp>2026-07-31T09:38:46Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt69z9z8b6</dc:identifier><dc:title>Azimuthal transverse single-spin asymmetries of inclusive jets and charged pions within jets from polarized-proton collisions at s=500 GeV</dc:title><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adams, JR</dc:creator><dc:creator>Adkins, JK</dc:creator><dc:creator>Agakishiev, G</dc:creator><dc:creator>Aggarwal, MM</dc:creator><dc:creator>Ahammed, Z</dc:creator><dc:creator>Ajitanand, NN</dc:creator><dc:creator>Alekseev, I</dc:creator><dc:creator>Anderson, DM</dc:creator><dc:creator>Aoyama, R</dc:creator><dc:creator>Aparin, A</dc:creator><dc:creator>Arkhipkin, D</dc:creator><dc:creator>Aschenauer, EC</dc:creator><dc:creator>Ashraf, MU</dc:creator><dc:creator>Attri, A</dc:creator><dc:creator>Averichev, GS</dc:creator><dc:creator>Bai, X</dc:creator><dc:creator>Bairathi, V</dc:creator><dc:creator>Barish, K</dc:creator><dc:creator>Behera, A</dc:creator><dc:creator>Bellwied, R</dc:creator><dc:creator>Bhasin, A</dc:creator><dc:creator>Bhati, AK</dc:creator><dc:creator>Bhattarai, P</dc:creator><dc:creator>Bielcik, J</dc:creator><dc:creator>Bielcikova, J</dc:creator><dc:creator>Bland, LC</dc:creator><dc:creator>Bordyuzhin, IG</dc:creator><dc:creator>Bouchet, J</dc:creator><dc:creator>Brandenburg, JD</dc:creator><dc:creator>Brandin, AV</dc:creator><dc:creator>Brown, D</dc:creator><dc:creator>Bryslawskyj, J</dc:creator><dc:creator>Bunzarov, I</dc:creator><dc:creator>Butterworth, J</dc:creator><dc:creator>Caines, H</dc:creator><dc:creator>de la Barca Sánchez, M Calderón</dc:creator><dc:creator>Campbell, JM</dc:creator><dc:creator>Cebra, D</dc:creator><dc:creator>Chakaberia, I</dc:creator><dc:creator>Chaloupka, P</dc:creator><dc:creator>Chang, Z</dc:creator><dc:creator>Chankova-Bunzarova, N</dc:creator><dc:creator>Chatterjee, A</dc:creator><dc:creator>Chattopadhyay, S</dc:creator><dc:creator>Chen, X</dc:creator><dc:creator>Chen, X</dc:creator><dc:creator>Chen, JH</dc:creator><dc:creator>Cheng, J</dc:creator><dc:creator>Cherney, M</dc:creator><dc:creator>Christie, W</dc:creator><dc:creator>Contin, G</dc:creator><dc:creator>Crawford, HJ</dc:creator><dc:creator>Das, S</dc:creator><dc:creator>Dedovich, TG</dc:creator><dc:creator>Deng, J</dc:creator><dc:creator>Deppner, IM</dc:creator><dc:creator>Derevschikov, AA</dc:creator><dc:creator>Didenko, L</dc:creator><dc:creator>Dilks, C</dc:creator><dc:creator>Dong, X</dc:creator><dc:creator>Drachenberg, JL</dc:creator><dc:creator>Draper, JE</dc:creator><dc:creator>Dunlop, JC</dc:creator><dc:creator>Efimov, LG</dc:creator><dc:creator>Elsey, N</dc:creator><dc:creator>Engelage, J</dc:creator><dc:creator>Eppley, G</dc:creator><dc:creator>Esha, R</dc:creator><dc:creator>Esumi, S</dc:creator><dc:creator>Evdokimov, O</dc:creator><dc:creator>Ewigleben, J</dc:creator><dc:creator>Eyser, O</dc:creator><dc:creator>Fatemi, R</dc:creator><dc:creator>Fazio, S</dc:creator><dc:creator>Federic, P</dc:creator><dc:creator>Federicova, P</dc:creator><dc:creator>Fedorisin, J</dc:creator><dc:creator>Feng, Z</dc:creator><dc:creator>Filip, P</dc:creator><dc:creator>Finch, E</dc:creator><dc:creator>Fisyak, Y</dc:creator><dc:creator>Flores, CE</dc:creator><dc:creator>Fujita, J</dc:creator><dc:creator>Fulek, L</dc:creator><dc:creator>Gagliardi, CA</dc:creator><dc:creator>Geurts, F</dc:creator><dc:creator>Gibson, A</dc:creator><dc:creator>Girard, M</dc:creator><dc:creator>Grosnick, D</dc:creator><dc:creator>Gunarathne, DS</dc:creator><dc:creator>Guo, Y</dc:creator><dc:creator>Gupta, A</dc:creator><dc:creator>Guryn, W</dc:creator><dc:creator>Hamad, AI</dc:creator><dc:creator>Hamed, A</dc:creator><dc:creator>Harlenderova, A</dc:creator><dc:creator>Harris, JW</dc:creator><dc:creator>He, L</dc:creator><dc:creator>Heppelmann, S</dc:creator><dc:date>2018-02-01</dc:date><dc:description>We report the first measurements of transverse single-spin asymmetries for inclusive jet and jet+π± production at midrapidity from transversely polarized proton-proton collisions at s=500 GeV. The data were collected in 2011 with the STAR detector sampled from 23 pb-1 integrated luminosity with an average beam polarization of 53%. Asymmetries are reported for jets with transverse momenta 6</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>4902 Mathematical Physics (for-2020)</dc:subject><dc:subject>49 Mathematical Sciences (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>nucl-ex</dc:subject><dc:subject>NSD-Relativistic Nuclear Collisions (c-lbnl-label)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/69z9z8b6</dc:identifier><dc:identifier>https://escholarship.org/content/qt69z9z8b6/qt69z9z8b6.pdf</dc:identifier><dc:identifier>info:doi/10.1103/physrevd.97.032004</dc:identifier><dc:type>article</dc:type><dc:source>Physical Review D, vol 97, iss 3</dc:source><dc:coverage>032004</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7dt1p9w1</identifier><datestamp>2026-07-31T09:38:36Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7dt1p9w1</dc:identifier><dc:title>Search for top squarks decaying to tau sleptons in pp collisions at s=13 TeV with the ATLAS detector</dc:title><dc:creator>Aaboud, M</dc:creator><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abdinov, O</dc:creator><dc:creator>Abeloos, B</dc:creator><dc:creator>Abidi, SH</dc:creator><dc:creator>Abouzeid, OS</dc:creator><dc:creator>Abraham, NL</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Adachi, S</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adersberger, M</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Afik, Y</dc:creator><dc:creator>Agheorghiesei, C</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Akatsuka, S</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akilli, E</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Albicocco, P</dc:creator><dc:creator>Verzini, MJ Alconada</dc:creator><dc:creator>Alderweireldt, S</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexander, G</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Ali, B</dc:creator><dc:creator>Aliev, M</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Alison, J</dc:creator><dc:creator>Alkire, SP</dc:creator><dc:creator>Allaire, C</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allen, BW</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Alshehri, AA</dc:creator><dc:creator>Alstaty, MI</dc:creator><dc:creator>Gonzalez, B Alvarez</dc:creator><dc:creator>Piqueras, D Álvarez</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Amadio, BT</dc:creator><dc:creator>Coutinho, Y Amaral</dc:creator><dc:creator>Ambroz, L</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Dos Santos, SP Amor</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Ancu, LS</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Anderson, KJ</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angelozzi, I</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antel, C</dc:creator><dc:creator>Anthony, MT</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antonov, A</dc:creator><dc:creator>Antrim, DJA</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Bella, L Aperio</dc:creator><dc:creator>Arabidze, G</dc:creator><dc:creator>Arai, Y</dc:creator><dc:creator>Araque, JP</dc:creator><dc:creator>Ferraz, V Araujo</dc:creator><dc:creator>Pereira, R Araujo</dc:creator><dc:creator>Arce, ATH</dc:creator><dc:creator>Ardell, RE</dc:creator><dc:creator>Arduh, FA</dc:creator><dc:creator>Arguin, J-F</dc:creator><dc:creator>Argyropoulos, S</dc:creator><dc:creator>Armbruster, AJ</dc:creator><dc:creator>Armitage, LJ</dc:creator><dc:creator>Arnaez, O</dc:creator><dc:creator>Arnold, H</dc:creator><dc:creator>Arratia, M</dc:creator><dc:date>2018-08-01</dc:date><dc:description>A search for direct pair production of top squarks in final states with two tau leptons, b-jets, and missing transverse momentum is presented. The analysis is based on proton-proton collision data at s=13 TeV corresponding to an integrated luminosity of 36.1 fb-1 recorded with the ATLAS detector at the Large Hadron Collider in 2015 and 2016. Two exclusive channels with either two hadronically decaying tau leptons or one hadronically and one leptonically decaying tau lepton are considered. No significant deviation from the Standard Model predictions is observed in the data. The analysis results are interpreted in terms of model-independent limits and used to derive exclusion limits on the masses of the top squark t˜1 and the tau slepton τ˜1 in a simplified model of supersymmetry with a nearly massless gravitino. In this model, masses up to m(t˜1)=1.16 TeV and m(τ˜1)=1.00 TeV are excluded at 95% confidence level.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7dt1p9w1</dc:identifier><dc:identifier>https://escholarship.org/content/qt7dt1p9w1/qt7dt1p9w1.pdf</dc:identifier><dc:identifier>info:doi/10.1103/physrevd.98.032008</dc:identifier><dc:type>article</dc:type><dc:source>Physical Review D, vol 98, iss 3</dc:source><dc:coverage>032008</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0h0827tp</identifier><datestamp>2026-07-31T09:38:23Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0h0827tp</dc:identifier><dc:title>Search for flavour-changing neutral current top-quark decays t → qZ in proton-proton collisions at s=13 TeV with the ATLAS detector</dc:title><dc:creator>The ATLAS collaboration</dc:creator><dc:creator>Aaboud, M</dc:creator><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abdinov, O</dc:creator><dc:creator>Abeloos, B</dc:creator><dc:creator>Abidi, SH</dc:creator><dc:creator>AbouZeid, OS</dc:creator><dc:creator>Abraham, NL</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Adachi, S</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adersberger, M</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Afik, Y</dc:creator><dc:creator>Agheorghiesei, C</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Akatsuka, S</dc:creator><dc:creator>Akerstedt, H</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akilli, E</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Albicocco, P</dc:creator><dc:creator>Alconada Verzini, MJ</dc:creator><dc:creator>Alderweireldt, S</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexander, G</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Ali, B</dc:creator><dc:creator>Aliev, M</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Alison, J</dc:creator><dc:creator>Alkire, SP</dc:creator><dc:creator>Allaire, C</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allen, BW</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Alshehri, AA</dc:creator><dc:creator>Alstaty, MI</dc:creator><dc:creator>Alvarez Gonzalez, B</dc:creator><dc:creator>Álvarez Piqueras, D</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Amadio, BT</dc:creator><dc:creator>Amaral Coutinho, Y</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Amor Dos Santos, SP</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Ancu, LS</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Anderson, KJ</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angelozzi, I</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antel, C</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antonov, A</dc:creator><dc:creator>Antrim, DJA</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Aperio Bella, L</dc:creator><dc:creator>Arabidze, G</dc:creator><dc:creator>Arai, Y</dc:creator><dc:creator>Araque, JP</dc:creator><dc:creator>Araujo Ferraz, V</dc:creator><dc:creator>Arce, ATH</dc:creator><dc:creator>Ardell, RE</dc:creator><dc:creator>Arduh, FA</dc:creator><dc:creator>Arguin, J-F</dc:creator><dc:creator>Argyropoulos, S</dc:creator><dc:creator>Arik, M</dc:creator><dc:creator>Armbruster, AJ</dc:creator><dc:creator>Armitage, LJ</dc:creator><dc:creator>Arnaez, O</dc:creator><dc:creator>Arnold, H</dc:creator><dc:creator>Arratia, M</dc:creator><dc:date>2018-07-01</dc:date><dc:description>A search for flavour-changing neutral-current processes in top-quark decays is presented. Data collected with the ATLAS detector from proton-proton collisions at the Large Hadron Collider at a centre-of-mass energy of s=13$$ \sqrt{s}=13 $$ TeV, corresponding to an integrated luminosity of 36.1 fb−1, are analysed. The search is performed using top-quark pair events, with one top quark decaying through the t → qZ (q = u, c) flavour-changing neutral-current channel, and the other through the dominant Standard Model mode t → bW. Only Z boson decays into charged leptons and leptonic W boson decays are considered as signal. Consequently, the final-state topology is characterized by the presence of three isolated charged leptons (electrons or muons), at least two jets, one of the jets originating from a b-quark, and missing transverse momentum from the undetected neutrino. The data are consistent with Standard Model background contributions, and at 95% confidence level the search sets observed (expected) upper limits of 1.7 × 10−4 (2.4 × 10−4) on the t → uZ branching ratio and 2.4 × 10−4 (3.2 × 10−4) on the t → cZ branching ratio, constituting the most stringent limits to date.</dc:description><dc:subject>Hadron-Hadron scattering (experiments)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>0105 Mathematical Physics (for)</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>0206 Quantum Physics (for)</dc:subject><dc:subject>Nuclear &amp; Particles Physics (science-metrix)</dc:subject><dc:subject>4902 Mathematical physics (for-2020)</dc:subject><dc:subject>5106 Nuclear and plasma physics (for-2020)</dc:subject><dc:subject>5107 Particle and high energy physics (for-2020)</dc:subject><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0h0827tp</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1007/jhep07(2018)176</dc:identifier><dc:type>article</dc:type><dc:source>Journal of High Energy Physics, vol 2018, iss 7</dc:source><dc:coverage>176</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4d35p9k4</identifier><datestamp>2026-07-31T09:38:08Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4d35p9k4</dc:identifier><dc:title>Combined measurement of differential and total cross sections in the H → γγ and the H → ZZ ⁎ → 4ℓ decay channels at s = 13 TeV with the ATLAS detector</dc:title><dc:creator>Collaboration, The ATLAS</dc:creator><dc:creator>Aaboud, M</dc:creator><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abdinov, O</dc:creator><dc:creator>Abeloos, B</dc:creator><dc:creator>Abhayasinghe, DK</dc:creator><dc:creator>Abidi, SH</dc:creator><dc:creator>AbouZeid, OS</dc:creator><dc:creator>Abraham, NL</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Adachi, S</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adersberger, M</dc:creator><dc:creator>Adiguzel, A</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Afik, Y</dc:creator><dc:creator>Agheorghiesei, C</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Akatsuka, S</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akilli, E</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Albicocco, P</dc:creator><dc:creator>Verzini, MJ Alconada</dc:creator><dc:creator>Alderweireldt, S</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Ali, B</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Alison, J</dc:creator><dc:creator>Alkire, SP</dc:creator><dc:creator>Allaire, C</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allen, BW</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Alshehri, AA</dc:creator><dc:creator>Alstaty, MI</dc:creator><dc:creator>Gonzalez, B Alvarez</dc:creator><dc:creator>Piqueras, D Álvarez</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Amadio, BT</dc:creator><dc:creator>Coutinho, Y Amaral</dc:creator><dc:creator>Ambroz, L</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Dos Santos, SP Amor</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Amrouche, CS</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Ancu, LS</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Anderson, KJ</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Anelli, CR</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angelozzi, I</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antel, C</dc:creator><dc:creator>Anthony, MT</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antrim, DJA</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Bella, L Aperio</dc:creator><dc:creator>Arabidze, G</dc:creator><dc:creator>Arai, Y</dc:creator><dc:creator>Araque, JP</dc:creator><dc:creator>Ferraz, V Araujo</dc:creator><dc:creator>Pereira, R Araujo</dc:creator><dc:creator>Arce, ATH</dc:creator><dc:creator>Ardell, RE</dc:creator><dc:creator>Arduh, FA</dc:creator><dc:creator>Arguin, J-F</dc:creator><dc:creator>Argyropoulos, S</dc:creator><dc:creator>Armbruster, AJ</dc:creator><dc:creator>Armitage, LJ</dc:creator><dc:creator>Armstrong, A</dc:creator><dc:date>2018-11-01</dc:date><dc:description>A combined measurement of differential and inclusive total cross sections of Higgs boson production is performed using 36.1 fb−1 of 13 TeV proton–proton collision data produced by the LHC and recorded by the ATLAS detector in 2015 and 2016. Cross sections are obtained from measured H→γγ and H→ZZ⁎→4ℓ event yields, which are combined taking into account detector efficiencies, resolution, acceptances and branching fractions. The total Higgs boson production cross section is measured to be 57.0−5.9 +6.0 (stat.) −3.3 +4.0 (syst.) pb, in agreement with the Standard Model prediction. Differential cross-section measurements are presented for the Higgs boson transverse momentum distribution, Higgs boson rapidity, number of jets produced together with the Higgs boson, and the transverse momentum of the leading jet. The results from the two decay channels are found to be compatible, and their combination agrees with the Standard Model predictions.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>0105 Mathematical Physics (for)</dc:subject><dc:subject>0201 Astronomical and Space Sciences (for)</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>Nuclear &amp; Particles Physics (science-metrix)</dc:subject><dc:subject>49 Mathematical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4d35p9k4</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1016/j.physletb.2018.09.019</dc:identifier><dc:type>article</dc:type><dc:source>Physics Letters B, vol 786</dc:source><dc:coverage>114 - 133</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1h47g4tt</identifier><datestamp>2026-07-31T09:37:55Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1h47g4tt</dc:identifier><dc:title>Search for pairs of highly collimated photon-jets in pp collisions at s=13 TeV with the ATLAS detector</dc:title><dc:creator>Aaboud, M</dc:creator><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abdinov, O</dc:creator><dc:creator>Abeloos, B</dc:creator><dc:creator>Abhayasinghe, DK</dc:creator><dc:creator>Abidi, SH</dc:creator><dc:creator>AbouZeid, OS</dc:creator><dc:creator>Abraham, NL</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Adachi, S</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adersberger, M</dc:creator><dc:creator>Adiguzel, A</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Afik, Y</dc:creator><dc:creator>Agheorghiesei, C</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Akatsuka, S</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akilli, E</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Albicocco, P</dc:creator><dc:creator>Verzini, MJ Alconada</dc:creator><dc:creator>Alderweireldt, S</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexander, G</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Ali, B</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Alison, J</dc:creator><dc:creator>Alkire, SP</dc:creator><dc:creator>Allaire, C</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allen, BW</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Alshehri, AA</dc:creator><dc:creator>Alstaty, MI</dc:creator><dc:creator>Gonzalez, B Alvarez</dc:creator><dc:creator>Piqueras, D Álvarez</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Amadio, BT</dc:creator><dc:creator>Coutinho, Y Amaral</dc:creator><dc:creator>Ambroz, L</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Dos Santos, SP Amor</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Amrouche, CS</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Ancu, LS</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Anderson, KJ</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Anelli, CR</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angelozzi, I</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antel, C</dc:creator><dc:creator>Anthony, MT</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antrim, DJA</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Bella, L Aperio</dc:creator><dc:creator>Arabidze, G</dc:creator><dc:creator>Arai, Y</dc:creator><dc:creator>Araque, JP</dc:creator><dc:creator>Ferraz, V Araujo</dc:creator><dc:creator>Pereira, R Araujo</dc:creator><dc:creator>Arce, ATH</dc:creator><dc:creator>Ardell, RE</dc:creator><dc:creator>Arduh, FA</dc:creator><dc:creator>Arguin, J-F</dc:creator><dc:creator>Argyropoulos, S</dc:creator><dc:creator>Armbruster, AJ</dc:creator><dc:creator>Armitage, LJ</dc:creator><dc:creator>Armstrong, A</dc:creator><dc:date>2019-01-01</dc:date><dc:description>Results of a search for the pair production of photon-jets—collimated groupings of photons—in the ATLAS detector at the Large Hadron Collider are reported. Highly collimated photon-jets can arise from the decay of new, highly boosted particles that can decay to multiple photons collimated enough to be identified in the electromagnetic calorimeter as a single, photonlike energy cluster. Data from proton-proton collisions at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 36.7 fb-1, were collected in 2015 and 2016. Candidate photon-jet pair production events are selected from those containing two reconstructed photons using a set of identification criteria much less stringent than that typically used for the selection of photons, with additional criteria applied to provide improved sensitivity to photon-jets. Narrow excesses in the reconstructed diphoton mass spectra are searched for. The observed mass spectra are consistent with the Standard Model background expectation. The results are interpreted in the context of a model containing a new, high-mass scalar particle with narrow width, X, that decays into pairs of photon-jets via new, light particles, a. Upper limits are placed on the cross section times the product of branching ratios σ×B(X→aa)×B(a→γγ)2 for 200 GeV</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1h47g4tt</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1103/physrevd.99.012008</dc:identifier><dc:type>article</dc:type><dc:source>Physical Review D, vol 99, iss 1</dc:source><dc:coverage>012008</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6v04g560</identifier><datestamp>2026-07-31T09:37:41Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6v04g560</dc:identifier><dc:title>Combination of searches for Higgs boson pairs in pp collisions at s = 13 TeV with the ATLAS detector</dc:title><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abbott, DC</dc:creator><dc:creator>Abud, A Abed</dc:creator><dc:creator>Abeling, K</dc:creator><dc:creator>Abhayasinghe, DK</dc:creator><dc:creator>Abidi, SH</dc:creator><dc:creator>AbouZeid, OS</dc:creator><dc:creator>Abraham, NL</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Achkar, B</dc:creator><dc:creator>Adachi, S</dc:creator><dc:creator>Adam, L</dc:creator><dc:creator>Bourdarios, C Adam</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adamek, L</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adersberger, M</dc:creator><dc:creator>Adiguzel, A</dc:creator><dc:creator>Adorni, S</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Afik, Y</dc:creator><dc:creator>Agapopoulou, C</dc:creator><dc:creator>Agaras, MN</dc:creator><dc:creator>Aggarwal, A</dc:creator><dc:creator>Agheorghiesei, C</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Ahmed, WS</dc:creator><dc:creator>Ai, X</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Akatsuka, S</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akilli, E</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Al Khoury, K</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Verzini, MJ Alconada</dc:creator><dc:creator>Alderweireldt, S</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexandre, D</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alfonsi, A</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Ali, B</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Alison, J</dc:creator><dc:creator>Alkire, SP</dc:creator><dc:creator>Allaire, C</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allen, BW</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Alshehri, AA</dc:creator><dc:creator>Estevez, M Alvarez</dc:creator><dc:creator>Piqueras, D Álvarez</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Coutinho, Y Amaral</dc:creator><dc:creator>Ambler, A</dc:creator><dc:creator>Ambroz, L</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Dos Santos, SP Amor</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Amrouche, CS</dc:creator><dc:creator>An, F</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Anelli, CR</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antel, C</dc:creator><dc:creator>Anthony, MT</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antrim, DJA</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Pozo, JA Aparisi</dc:creator><dc:creator>Bella, L Aperio</dc:creator><dc:creator>Arabidze, G</dc:creator><dc:creator>Araque, JP</dc:creator><dc:creator>Ferraz, V Araujo</dc:creator><dc:creator>Pereira, R Araujo</dc:creator><dc:date>2020-01-01</dc:date><dc:description>This letter presents a combination of searches for Higgs boson pair production using up to 36.1 fb − 1 of proton–proton collision data at a centre-of-mass energy s = 13 TeV recorded with the ATLAS detector at the LHC. The combination is performed using six analyses searching for Higgs boson pairs decaying into the b b ¯ b b ¯ , b b ¯ W + W − , b b ¯ τ + τ − , W + W − W + W − , b b ¯ γ γ and W + W − γ γ final states. Results are presented for non-resonant and resonant Higgs boson pair production modes. No statistically significant excess in data above the Standard Model predictions is found. The combined observed (expected) limit at 95% confidence level on the non-resonant Higgs boson pair production cross-section is 6.9 (10) times the predicted Standard Model cross-section. Limits are also set on the ratio ( κ λ ) of the Higgs boson self-coupling to its Standard Model value. This ratio is constrained at 95% confidence level in observation (expectation) to − 5.0 &amp;lt; κ λ &amp;lt; 12.0 ( − 5.8 &amp;lt; κ λ &amp;lt; 12.0 ). In addition, limits are set on the production of narrow scalar resonances and spin-2 Kaluza–Klein Randall–Sundrum gravitons. Exclusion regions are also provided in the parameter space of the habemus Minimal Supersymmetric Standard Model and the Electroweak Singlet Model.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>0105 Mathematical Physics (for)</dc:subject><dc:subject>0201 Astronomical and Space Sciences (for)</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>Nuclear &amp; Particles Physics (science-metrix)</dc:subject><dc:subject>49 Mathematical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6v04g560</dc:identifier><dc:identifier>https://escholarship.org/content/qt6v04g560/qt6v04g560.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.physletb.2019.135103</dc:identifier><dc:type>article</dc:type><dc:source>Physics Letters B, vol 800</dc:source><dc:coverage>135103</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt75j363v1</identifier><datestamp>2026-07-31T09:37:31Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt75j363v1</dc:identifier><dc:title>Collision-energy dependence of second-order off-diagonal and diagonal cumulants of net-charge, net-proton, and net-kaon multiplicity distributions in Au + Au collisions</dc:title><dc:creator>Adam, J</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adams, JR</dc:creator><dc:creator>Adkins, JK</dc:creator><dc:creator>Agakishiev, G</dc:creator><dc:creator>Aggarwal, MM</dc:creator><dc:creator>Ahammed, Z</dc:creator><dc:creator>Alekseev, I</dc:creator><dc:creator>Anderson, DM</dc:creator><dc:creator>Aoyama, R</dc:creator><dc:creator>Aparin, A</dc:creator><dc:creator>Arkhipkin, D</dc:creator><dc:creator>Aschenauer, EC</dc:creator><dc:creator>Ashraf, MU</dc:creator><dc:creator>Atetalla, F</dc:creator><dc:creator>Attri, A</dc:creator><dc:creator>Averichev, GS</dc:creator><dc:creator>Bairathi, V</dc:creator><dc:creator>Barish, K</dc:creator><dc:creator>Bassill, AJ</dc:creator><dc:creator>Behera, A</dc:creator><dc:creator>Bellwied, R</dc:creator><dc:creator>Bhasin, A</dc:creator><dc:creator>Bhati, AK</dc:creator><dc:creator>Bielcik, J</dc:creator><dc:creator>Bielcikova, J</dc:creator><dc:creator>Bland, LC</dc:creator><dc:creator>Bordyuzhin, IG</dc:creator><dc:creator>Brandenburg, JD</dc:creator><dc:creator>Brandin, AV</dc:creator><dc:creator>Bryslawskyj, J</dc:creator><dc:creator>Bunzarov, I</dc:creator><dc:creator>Butterworth, J</dc:creator><dc:creator>Caines, H</dc:creator><dc:creator>de la Barca Sánchez, M Calderón</dc:creator><dc:creator>Cebra, D</dc:creator><dc:creator>Chakaberia, I</dc:creator><dc:creator>Chaloupka, P</dc:creator><dc:creator>Chan, BK</dc:creator><dc:creator>Chang, F-H</dc:creator><dc:creator>Chang, Z</dc:creator><dc:creator>Chankova-Bunzarova, N</dc:creator><dc:creator>Chatterjee, A</dc:creator><dc:creator>Chattopadhyay, S</dc:creator><dc:creator>Chen, JH</dc:creator><dc:creator>Chen, X</dc:creator><dc:creator>Cheng, J</dc:creator><dc:creator>Cherney, M</dc:creator><dc:creator>Christie, W</dc:creator><dc:creator>Crawford, HJ</dc:creator><dc:creator>Csanád, M</dc:creator><dc:creator>Das, S</dc:creator><dc:creator>Dedovich, TG</dc:creator><dc:creator>Deppner, IM</dc:creator><dc:creator>Derevschikov, AA</dc:creator><dc:creator>Didenko, L</dc:creator><dc:creator>Dilks, C</dc:creator><dc:creator>Dong, X</dc:creator><dc:creator>Drachenberg, JL</dc:creator><dc:creator>Dunlop, JC</dc:creator><dc:creator>Edmonds, T</dc:creator><dc:creator>Elsey, N</dc:creator><dc:creator>Engelage, J</dc:creator><dc:creator>Eppley, G</dc:creator><dc:creator>Esha, R</dc:creator><dc:creator>Esumi, S</dc:creator><dc:creator>Evdokimov, O</dc:creator><dc:creator>Ewigleben, J</dc:creator><dc:creator>Eyser, O</dc:creator><dc:creator>Fatemi, R</dc:creator><dc:creator>Fazio, S</dc:creator><dc:creator>Federic, P</dc:creator><dc:creator>Fedorisin, J</dc:creator><dc:creator>Feng, Y</dc:creator><dc:creator>Filip, P</dc:creator><dc:creator>Finch, E</dc:creator><dc:creator>Fisyak, Y</dc:creator><dc:creator>Fulek, L</dc:creator><dc:creator>Gagliardi, CA</dc:creator><dc:creator>Galatyuk, T</dc:creator><dc:creator>Geurts, F</dc:creator><dc:creator>Gibson, A</dc:creator><dc:creator>Grosnick, D</dc:creator><dc:creator>Gupta, A</dc:creator><dc:creator>Guryn, W</dc:creator><dc:creator>Hamad, AI</dc:creator><dc:creator>Hamed, A</dc:creator><dc:creator>Harris, JW</dc:creator><dc:creator>He, L</dc:creator><dc:creator>Heppelmann, S</dc:creator><dc:creator>Heppelmann, S</dc:creator><dc:creator>Herrmann, N</dc:creator><dc:creator>Holub, L</dc:creator><dc:creator>Hong, Y</dc:creator><dc:creator>Horvat, S</dc:creator><dc:creator>Huang, B</dc:creator><dc:creator>Huang, HZ</dc:creator><dc:creator>Huang, SL</dc:creator><dc:creator>Huang, T</dc:creator><dc:creator>Huang, X</dc:creator><dc:date>2019-07-01</dc:date><dc:description>We report the first measurements of a complete second-order cumulant matrix of net-charge, net-proton, and net-kaon multiplicity distributions for the first phase of the beam energy scan program at the Relativistic Heavy Ion Collider. This includes the centrality and, for the first time, the pseudorapidity window dependence of both diagonal and off-diagonal cumulants in Au+Au collisions at sNN= 7.7–200 GeV. Within the available acceptance of |η|&amp;lt;0.5, the cumulants grow linearly with the pseudorapidity window. Relative to the corresponding measurements in peripheral collisions, the ratio of off-diagonal over diagonal cumulants in central collisions indicates an excess correlation between net-charge and net-kaon, as well as between net-charge and net-proton. The strength of such excess correlation increases with the collision energy. The correlation between net-proton and net-kaon multiplicity distributions is observed to be negative at sNN= 200 GeV and change to positive at the lowest collision energy. Model calculations based on nonthermal (UrQMD) and thermal (HRG) production of hadrons cannot explain the data. These measurements will help map the quantum chromodynamics phase diagram, constrain hadron resonance gas model calculations and provide new insights on the energy dependence of baryon-strangeness correlations.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>nucl-ex</dc:subject><dc:subject>nucl-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ph</dc:subject><dc:subject>NSD-Relativistic Nuclear Collisions (c-lbnl-label)</dc:subject><dc:subject>5106 Nuclear and plasma physics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/75j363v1</dc:identifier><dc:identifier>https://escholarship.org/content/qt75j363v1/qt75j363v1.pdf</dc:identifier><dc:identifier>info:doi/10.1103/physrevc.100.014902</dc:identifier><dc:type>article</dc:type><dc:source>Physical Review C, vol 100, iss 1</dc:source><dc:coverage>014902</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2n9974w3</identifier><datestamp>2026-07-31T09:37:21Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2n9974w3</dc:identifier><dc:title>Measurement of the jet mass in high transverse momentum Z ( → b b ‾ ) γ production at s = 13 TeV using the ATLAS detector</dc:title><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abbott, DC</dc:creator><dc:creator>Abdinov, O</dc:creator><dc:creator>Abud, A Abed</dc:creator><dc:creator>Abeling, K</dc:creator><dc:creator>Abhayasinghe, DK</dc:creator><dc:creator>Abidi, SH</dc:creator><dc:creator>AbouZeid, OS</dc:creator><dc:creator>Abraham, NL</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Achkar, B</dc:creator><dc:creator>Adachi, S</dc:creator><dc:creator>Adam, L</dc:creator><dc:creator>Bourdarios, C Adam</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adamek, L</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adersberger, M</dc:creator><dc:creator>Adiguzel, A</dc:creator><dc:creator>Adorni, S</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Afik, Y</dc:creator><dc:creator>Agapopoulou, C</dc:creator><dc:creator>Agaras, MN</dc:creator><dc:creator>Aggarwal, A</dc:creator><dc:creator>Agheorghiesei, C</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Ahmed, WS</dc:creator><dc:creator>Ai, X</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Akatsuka, S</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akilli, E</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Al Khoury, K</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Verzini, MJ Alconada</dc:creator><dc:creator>Alderweireldt, S</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexandre, D</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alfonsi, A</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Ali, B</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Alison, J</dc:creator><dc:creator>Alkire, SP</dc:creator><dc:creator>Allaire, C</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allen, BW</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Alshehri, AA</dc:creator><dc:creator>Estevez, M Alvarez</dc:creator><dc:creator>Piqueras, D Álvarez</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Coutinho, Y Amaral</dc:creator><dc:creator>Ambler, A</dc:creator><dc:creator>Ambroz, L</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Dos Santos, SP Amor</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Amrouche, CS</dc:creator><dc:creator>An, F</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Anelli, CR</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antel, C</dc:creator><dc:creator>Anthony, MT</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antrim, DJA</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Pozo, JA Aparisi</dc:creator><dc:creator>Bella, L Aperio</dc:creator><dc:creator>Arabidze, G</dc:creator><dc:creator>Araque, JP</dc:creator><dc:creator>Ferraz, V Araujo</dc:creator><dc:date>2021-01-01</dc:date><dc:description>The integrated fiducial cross-section and unfolded differential jet mass spectrum of high transverse momentum Z → b b ‾ decays are measured in Zγ events in proton–proton collisions at s = 13 TeV . The data analysed were collected between 2015 and 2016 with the ATLAS detector at the Large Hadron Collider and correspond to an integrated luminosity of 36.1 fb − 1 . Photons are required to have a transverse momentum p T &amp;gt; 175 GeV . The Z → b b ‾ decay is reconstructed using a jet with p T &amp;gt; 200 GeV , found with the anti- k t R = 1.0 jet algorithm, and groomed to remove soft and wide-angle radiation and to mitigate contributions from the underlying event and additional proton–proton collisions. Two different but related measurements are performed using two jet grooming definitions for reconstructing the Z → b b ‾ decay: trimming and soft drop. These algorithms differ in their experimental and phenomenological implications regarding jet mass reconstruction and theoretical precision. To identify Z bosons, b-tagged R = 0.2 track-jets matched to the groomed large-R calorimeter jet are used as a proxy for the b-quarks. The signal yield is determined from fits of the data-driven background templates to the different jet mass distributions for the two grooming methods. Integrated fiducial cross-sections and unfolded jet mass spectra for each grooming method are compared with leading-order theoretical predictions. The results are found to be in good agreement with Standard Model expectations within the current statistical and systematic uncertainties.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>0105 Mathematical Physics (for)</dc:subject><dc:subject>0201 Astronomical and Space Sciences (for)</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>Nuclear &amp; Particles Physics (science-metrix)</dc:subject><dc:subject>49 Mathematical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2n9974w3</dc:identifier><dc:identifier>https://escholarship.org/content/qt2n9974w3/qt2n9974w3.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.physletb.2020.135991</dc:identifier><dc:type>article</dc:type><dc:source>Physics Letters B, vol 812</dc:source><dc:coverage>135991</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt49r1z6vc</identifier><datestamp>2026-07-31T09:37:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt49r1z6vc</dc:identifier><dc:title>Evidence for electroweak production of two jets in association with a Zγ pair in pp collisions at s = 13 &amp;nbsp;TeV with the ATLAS detector</dc:title><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abbott, DC</dc:creator><dc:creator>Abud, A Abed</dc:creator><dc:creator>Abeling, K</dc:creator><dc:creator>Abhayasinghe, DK</dc:creator><dc:creator>Abidi, SH</dc:creator><dc:creator>AbouZeid, OS</dc:creator><dc:creator>Abraham, NL</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Achkar, B</dc:creator><dc:creator>Adachi, S</dc:creator><dc:creator>Adam, L</dc:creator><dc:creator>Bourdarios, C Adam</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adamek, L</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adersberger, M</dc:creator><dc:creator>Adiguzel, A</dc:creator><dc:creator>Adorni, S</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Afik, Y</dc:creator><dc:creator>Agapopoulou, C</dc:creator><dc:creator>Agaras, MN</dc:creator><dc:creator>Aggarwal, A</dc:creator><dc:creator>Agheorghiesei, C</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Ahmed, WS</dc:creator><dc:creator>Ai, X</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Akatsuka, S</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akilli, E</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Al Khoury, K</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Verzini, MJ Alconada</dc:creator><dc:creator>Alderweireldt, S</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alfonsi, A</dc:creator><dc:creator>Alfonsi, F</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Ali, B</dc:creator><dc:creator>Aliev, M</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Alkire, SP</dc:creator><dc:creator>Allaire, C</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allen, BW</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Alshehri, AA</dc:creator><dc:creator>Estevez, M Alvarez</dc:creator><dc:creator>Piqueras, D Álvarez</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Coutinho, Y Amaral</dc:creator><dc:creator>Ambler, A</dc:creator><dc:creator>Ambroz, L</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Dos Santos, SP Amor</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Amrouche, CS</dc:creator><dc:creator>An, F</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Anelli, CR</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antel, C</dc:creator><dc:creator>Anthony, MT</dc:creator><dc:creator>Antipov, E</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antrim, DJA</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Pozo, JA Aparisi</dc:creator><dc:creator>Bella, L Aperio</dc:creator><dc:creator>Araque, JP</dc:creator><dc:creator>Ferraz, V Araujo</dc:creator><dc:creator>Pereira, R Araujo</dc:creator><dc:date>2020-04-01</dc:date><dc:description>Evidence for electroweak production of two jets in association with a Zγ pair in s = 13 &amp;nbsp;TeV proton–proton collisions at the Large Hadron Collider is presented. The analysis uses data collected by the ATLAS detector in 2015 and 2016 that corresponds to an integrated luminosity of 36.1 fb − 1 . Events that contain a Z boson candidate decaying leptonically into either e + e − or μ + μ − , a photon, and two jets are selected. The electroweak component is measured with observed and expected significances of 4.1 standard deviations. The fiducial cross-section for electroweak production is measured to be σ Z γ j j − EW = 7.8 ± 2.0 fb , in good agreement with the Standard Model prediction.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>0105 Mathematical Physics (for)</dc:subject><dc:subject>0201 Astronomical and Space Sciences (for)</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>Nuclear &amp; Particles Physics (science-metrix)</dc:subject><dc:subject>49 Mathematical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/49r1z6vc</dc:identifier><dc:identifier>https://escholarship.org/content/qt49r1z6vc/qt49r1z6vc.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.physletb.2020.135341</dc:identifier><dc:type>article</dc:type><dc:source>Physics Letters B, vol 803</dc:source><dc:coverage>135341</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7656t39j</identifier><datestamp>2026-07-31T09:36:51Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7656t39j</dc:identifier><dc:title>Test of CP invariance in vector-boson fusion production of the Higgs boson in the H → ττ channel in proton–proton collisions at s = 13 TeV with the ATLAS detector</dc:title><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abbott, DC</dc:creator><dc:creator>Abud, A Abed</dc:creator><dc:creator>Abeling, K</dc:creator><dc:creator>Abhayasinghe, DK</dc:creator><dc:creator>Abidi, SH</dc:creator><dc:creator>AbouZeid, OS</dc:creator><dc:creator>Abraham, NL</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Achkar, B</dc:creator><dc:creator>Adachi, S</dc:creator><dc:creator>Adam, L</dc:creator><dc:creator>Bourdarios, C Adam</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adamek, L</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adersberger, M</dc:creator><dc:creator>Adiguzel, A</dc:creator><dc:creator>Adorni, S</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Afik, Y</dc:creator><dc:creator>Agapopoulou, C</dc:creator><dc:creator>Agaras, MN</dc:creator><dc:creator>Aggarwal, A</dc:creator><dc:creator>Agheorghiesei, C</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Ahmed, WS</dc:creator><dc:creator>Ai, X</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Akatsuka, S</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akilli, E</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Al Khoury, K</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Verzini, MJ Alconada</dc:creator><dc:creator>Alderweireldt, S</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alfonsi, A</dc:creator><dc:creator>Alfonsi, F</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Ali, B</dc:creator><dc:creator>Aliev, M</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Allaire, C</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allen, BW</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Alshehri, AA</dc:creator><dc:creator>Camelia, E Alunno</dc:creator><dc:creator>Estevez, M Alvarez</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Coutinho, Y Amaral</dc:creator><dc:creator>Ambler, A</dc:creator><dc:creator>Ambroz, L</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Dos Santos, SP Amor</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Amrouche, CS</dc:creator><dc:creator>An, F</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Anelli, CR</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antel, C</dc:creator><dc:creator>Anthony, MT</dc:creator><dc:creator>Antipov, E</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antrim, DJA</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Pozo, JA Aparisi</dc:creator><dc:creator>Bella, L Aperio</dc:creator><dc:creator>Araque, JP</dc:creator><dc:creator>Ferraz, V Araujo</dc:creator><dc:creator>Pereira, R Araujo</dc:creator><dc:creator>Arcangeletti, C</dc:creator><dc:creator>Arce, ATH</dc:creator><dc:date>2020-06-01</dc:date><dc:description>A test of CP invariance in Higgs boson production via vector-boson fusion is performed in the H → τ τ decay channel. This test uses the Optimal Observable method and is carried out using 36.1 fb − 1 of s = 13 TeV proton–proton collision data collected by the ATLAS experiment at the LHC. Contributions from CP-violating interactions between the Higgs boson and electroweak gauge bosons are described by an effective field theory, in which the parameter d ˜ governs the strength of CP violation. No sign of CP violation is observed in the distributions of the Optimal Observable, and d ˜ is constrained to the interval [−0.090, 0.035] at the 68% confidence level (CL), compared to an expected interval of d ˜ ∈ [ − 0.035 , 0.033 ] based upon the Standard Model prediction. No constraints can be set on d ˜ at 95% CL, while an expected 95% CL interval of d ˜ ∈ [ − 0.21 , 0.15 ] for the Standard Model hypothesis was expected.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>0105 Mathematical Physics (for)</dc:subject><dc:subject>0201 Astronomical and Space Sciences (for)</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>Nuclear &amp; Particles Physics (science-metrix)</dc:subject><dc:subject>49 Mathematical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7656t39j</dc:identifier><dc:identifier>https://escholarship.org/content/qt7656t39j/qt7656t39j.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.physletb.2020.135426</dc:identifier><dc:type>article</dc:type><dc:source>Physics Letters B, vol 805</dc:source><dc:coverage>135426</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0g60c3c5</identifier><datestamp>2026-07-31T09:36:25Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0g60c3c5</dc:identifier><dc:title>Combination of inclusive and differential tt¯ charge asymmetry measurements using ATLAS and CMS data at s=7 and 8 TeV</dc:title><dc:creator>The ATLAS collaboration</dc:creator><dc:creator>Aaboud, M</dc:creator><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abdinov, O</dc:creator><dc:creator>Abeloos, B</dc:creator><dc:creator>Abidi, SH</dc:creator><dc:creator>AbouZeid, OS</dc:creator><dc:creator>Abraham, NL</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Adachi, S</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adersberger, M</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Afik, Y</dc:creator><dc:creator>Agheorghiesei, C</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahlen, SP</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Akatsuka, S</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akilli, E</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Albicocco, P</dc:creator><dc:creator>Alconada Verzini, MJ</dc:creator><dc:creator>Alderweireldt, SC</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexander, G</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Ali, B</dc:creator><dc:creator>Aliev, M</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Alison, J</dc:creator><dc:creator>Alkire, SP</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allen, BW</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Alshehri, AA</dc:creator><dc:creator>Alstaty, MI</dc:creator><dc:creator>Alvarez Gonzalez, B</dc:creator><dc:creator>Álvarez Piqueras, D</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Amadio, BT</dc:creator><dc:creator>Amaral Coutinho, Y</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Amor Dos Santos, SP</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Ancu, LS</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Anderson, KJ</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angelozzi, I</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antel, C</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antonov, A</dc:creator><dc:creator>Antrim, DJ</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Aperio Bella, L</dc:creator><dc:creator>Arabidze, G</dc:creator><dc:creator>Arai, Y</dc:creator><dc:creator>Araque, JP</dc:creator><dc:creator>Araujo Ferraz, V</dc:creator><dc:creator>Arce, ATH</dc:creator><dc:creator>Ardell, RE</dc:creator><dc:creator>Arduh, FA</dc:creator><dc:creator>Arguin, J-F</dc:creator><dc:creator>Argyropoulos, S</dc:creator><dc:creator>Armbruster, AJ</dc:creator><dc:creator>Armitage, LJ</dc:creator><dc:creator>Arnaez, O</dc:creator><dc:creator>Arnold, H</dc:creator><dc:creator>Arratia, M</dc:creator><dc:creator>Arslan, O</dc:creator><dc:creator>Artamonov, A</dc:creator><dc:date>2018-04-01</dc:date><dc:description>This paper presents combinations of inclusive and differential measurements of the charge asymmetry (AC) in top quark pair tt¯$$ \left(\mathrm{t}\overline{\mathrm{t}}\right) $$ events with a lepton+jets signature by the ATLAS and CMS Collaborations, using data from LHC proton-proton collisions at centre-of-mass energies of 7 and 8 TeV. The data correspond to integrated luminosities of about 5 and 20 fb−1 for each experiment, respectively. The resulting combined LHC measurements of the inclusive charge asymmetry are ACCHC7 = 0.005 ±&amp;nbsp;0.007&amp;nbsp;(stat) ±&amp;nbsp;0.006(syst) at 7 TeV and ACCHC8 = 0.0055 ± 0.0023 (stat) ± 0.0025 (syst) at 8 TeV. These values, as well as the combination of AC measurements as a function of the invariant mass of the tt¯$$ \mathrm{t}\overline{\mathrm{t}} $$ system at 8 TeV, are consistent with the respective standard model predictions.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>4902 Mathematical Physics (for-2020)</dc:subject><dc:subject>49 Mathematical Sciences (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>Hadron-Hadron scattering (experiments)</dc:subject><dc:subject>Top physics</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>0105 Mathematical Physics (for)</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>0206 Quantum Physics (for)</dc:subject><dc:subject>Nuclear &amp; Particles Physics (science-metrix)</dc:subject><dc:subject>4902 Mathematical physics (for-2020)</dc:subject><dc:subject>5106 Nuclear and plasma physics (for-2020)</dc:subject><dc:subject>5107 Particle and high energy physics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0g60c3c5</dc:identifier><dc:identifier>https://escholarship.org/content/qt0g60c3c5/qt0g60c3c5.pdf</dc:identifier><dc:identifier>info:doi/10.1007/jhep04(2018)033</dc:identifier><dc:type>article</dc:type><dc:source>Journal of High Energy Physics, vol 2018, iss 4</dc:source><dc:coverage>33</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt00z354vq</identifier><datestamp>2026-07-31T09:33:10Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt00z354vq</dc:identifier><dc:title>Ion Dynamics and Polarizations in a Simulated Nanopore under Alternating Current Controls</dc:title><dc:creator>Yang, Zicheng</dc:creator><dc:creator>D’Antona, Nick</dc:creator><dc:creator>Boettcher, Shannon W</dc:creator><dc:creator>Sa, Niya</dc:creator><dc:date>2025-12-04</dc:date><dc:description>Understanding ion transport through nanopores provides a central basis in advancing the design of molecular sensors or the preparation of biomimetic systems. Here we report a continuum modeling approach that introduces an alternating current field to investigate the competition between a surface-charge dominated electromigration process under a frequency induced ion dynamics at nanoscales. We highlight a transition from a surface-charge-dominated effect, where electric double layer impacts prevail, to bulk-like ion dynamics as pore dimensions approach the microscale. Results reveal that rapid electromigration dominates ion distribution at a millisecond time scale, generating transient, non-equilibrium concentration profiles. In contrast, lower frequency perturbations enable diffusion to equilibrate ion distributions within each cycle, establishing periodic quasi-steady states. The findings from this work highlight the interplay of ion selectivity and distribution by exploiting the dynamic competition between electromigration and diffusion in oscillating bias systems.</dc:description><dc:subject>3403 Macromolecular and Materials Chemistry (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>Bioengineering (rcdc)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/00z354vq</dc:identifier><dc:identifier>https://escholarship.org/content/qt00z354vq/qt00z354vq.pdf</dc:identifier><dc:identifier>info:doi/10.1021/acselectrochem.5c00284</dc:identifier><dc:type>article</dc:type><dc:source>ACS Electrochemistry, vol 1, iss 12</dc:source><dc:coverage>2700 - 2708</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6hk729fn</identifier><datestamp>2026-07-31T09:32:11Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6hk729fn</dc:identifier><dc:title>Observation of electroweak production of two jets and a Z-boson pair</dc:title><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abbott, DC</dc:creator><dc:creator>Abud, A Abed</dc:creator><dc:creator>Abeling, K</dc:creator><dc:creator>Abhayasinghe, DK</dc:creator><dc:creator>Abidi, SH</dc:creator><dc:creator>AbouZeid, OS</dc:creator><dc:creator>Abraham, NL</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Achkar, B</dc:creator><dc:creator>Adachi, S</dc:creator><dc:creator>Adam, L</dc:creator><dc:creator>Bourdarios, C Adam</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adamek, L</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adersberger, M</dc:creator><dc:creator>Adiguzel, A</dc:creator><dc:creator>Adorni, S</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Afik, Y</dc:creator><dc:creator>Agapopoulou, C</dc:creator><dc:creator>Agaras, MN</dc:creator><dc:creator>Aggarwal, A</dc:creator><dc:creator>Agheorghiesei, C</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Ahmed, WS</dc:creator><dc:creator>Ai, X</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Akatsuka, S</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akilli, E</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Al Khoury, K</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Verzini, MJ Alconada</dc:creator><dc:creator>Alderweireldt, S</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alfonsi, A</dc:creator><dc:creator>Alfonsi, F</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Ali, B</dc:creator><dc:creator>Aliev, M</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Allaire, C</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allen, BW</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Alshehri, AA</dc:creator><dc:creator>Camelia, E Alunno</dc:creator><dc:creator>Estevez, M Alvarez</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Coutinho, Y Amaral</dc:creator><dc:creator>Ambler, A</dc:creator><dc:creator>Ambroz, L</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Dos Santos, SP Amor</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Amrouche, CS</dc:creator><dc:creator>An, F</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Anelli, CR</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antel, C</dc:creator><dc:creator>Anthony, MT</dc:creator><dc:creator>Antipov, E</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antrim, DJA</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Pozo, JA Aparisi</dc:creator><dc:creator>Aparo, MA</dc:creator><dc:creator>Bella, L Aperio</dc:creator><dc:creator>Araque, JP</dc:creator><dc:creator>Ferraz, V Araujo</dc:creator><dc:creator>Pereira, R Araujo</dc:creator><dc:creator>Arcangeletti, C</dc:creator><dc:date>2023-02-01</dc:date><dc:description>Electroweak symmetry breaking explains the origin of the masses of elementary particles through their interactions with the Higgs field. Besides the measurements of the Higgs boson properties, the study of the scattering of massive vector bosons with spin 1 allows the nature of electroweak symmetry breaking to be probed. Among all processes related to vector-boson scattering, the electroweak production of two jets and a Z-boson pair is a rare and important one. Here we report the observation of this process from proton–proton collision data corresponding to an integrated luminosity of 139 fb−1 recorded at a centre-of-mass energy of 13 TeV with the ATLAS detector at the Large Hadron Collider. We consider two different final states originating from the decays of the Z-boson pair: one containing four charged leptons and another containing two charged leptons and two neutrinos. The hypothesis of no electroweak production is rejected with a statistical significance of 5.7σ, and the measured cross-section for electroweak production is consistent with the Standard Model prediction. In addition, we report cross-sections for inclusive production of a Z-boson pair and two jets for the two final states.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>01 Mathematical Sciences (for)</dc:subject><dc:subject>02 Physical Sciences (for)</dc:subject><dc:subject>Fluids &amp; Plasmas (science-metrix)</dc:subject><dc:subject>49 Mathematical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6hk729fn</dc:identifier><dc:identifier>https://escholarship.org/content/qt6hk729fn/qt6hk729fn.pdf</dc:identifier><dc:identifier>info:doi/10.1038/s41567-022-01757-y</dc:identifier><dc:type>article</dc:type><dc:source>Nature Physics, vol 19, iss 2</dc:source><dc:coverage>237 - 253</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2fd2j700</identifier><datestamp>2026-07-31T09:31:45Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2fd2j700</dc:identifier><dc:title>Associations of prenatal urinary melamine, melamine analogues, and aromatic amines with gestational duration and fetal growth in the ECHO Cohort</dc:title><dc:creator>Choi, Giehae</dc:creator><dc:creator>Xun, Xiaoshuang</dc:creator><dc:creator>Bennett, Deborah H</dc:creator><dc:creator>Meeker, John D</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:creator>Sathyanarayana, Sheela</dc:creator><dc:creator>Schantz, Susan L</dc:creator><dc:creator>Trasande, Leonardo</dc:creator><dc:creator>Watkins, Deborah</dc:creator><dc:creator>Pellizzari, Edo D</dc:creator><dc:creator>Li, Wenlong</dc:creator><dc:creator>Kannan, Kurunthachalam</dc:creator><dc:creator>Woodruff, Tracey J</dc:creator><dc:creator>Buckley, Jessie P</dc:creator><dc:creator>Consortium, for the ECHO Cohort</dc:creator><dc:date>2025-01-01</dc:date><dc:description>Melamine, its analogues, and aromatic amines (AAs) were commonly detected in a previous study of pregnant women in the Environmental influences on Child Health Outcomes (ECHO) Cohort. While these chemicals have identified toxicities, little is known about their influences on fetal development. We measured these chemicals in gestational urine samples in 3 ECHO cohort sites to assess associations with birth outcomes (n&amp;nbsp;=&amp;nbsp;1,231). We estimated beta coefficients and 95% confidence intervals (CIs) using adjusted linear mixed models with continuous dilution-standardized concentrations (log2 transformed and scaled by interquartile range, IQR) or binary indicators for detection. As secondary analyses, we repeated analyses using categorical outcomes. Forty-one of 45 analytes were detected in at least one sample, with&amp;nbsp;&amp;gt;&amp;nbsp;95&amp;nbsp;% detection of melamine, cyanuric acid, ammelide, and aniline. Higher melamine concentration was associated with longer gestational age (β^ per IQR increase of log2-transformed: 0.082 [95&amp;nbsp;% CI: -0.012, 0.177]; 2nd vs 1st tertile: 0.173 [-0.048, 0.394]; 3rd vs 1st tertile: 0.186 [-0.035, 0.407]). Similarly in secondary analyses using categorical outcomes, an IQR increase in log2(melamine) was associated with 1.22 [0.99, 1.50] higher odds of post-term (&amp;gt;40 &amp;amp; ≤42&amp;nbsp;weeks) as compared to full-term (≥38 &amp;amp; ≤40&amp;nbsp;weeks). Several AAs were associated with birthweight and gestational length, with the direction of associations varying by AA. Some stronger associations were observed in females. Our findings suggest melamine and its analogs and AAs may influence gestational length and birthweight.</dc:description><dc:subject>3215 Reproductive Medicine (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Pregnancy (rcdc)</dc:subject><dc:subject>Conditions Affecting the Embryonic and Fetal Periods (rcdc)</dc:subject><dc:subject>Perinatal Period - Conditions Originating in Perinatal Period (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Infant Mortality (rcdc)</dc:subject><dc:subject>Triazines (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Fetal Development (mesh)</dc:subject><dc:subject>Gestational Age (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Maternal Exposure (mesh)</dc:subject><dc:subject>Amines (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Infant</dc:subject><dc:subject>Newborn (mesh)</dc:subject><dc:subject>Melamine</dc:subject><dc:subject>Cyanuric acid</dc:subject><dc:subject>Aromatic amines</dc:subject><dc:subject>Gestational age</dc:subject><dc:subject>Birthweight</dc:subject><dc:subject>Preterm birth</dc:subject><dc:subject>Low birthweight</dc:subject><dc:subject>Large for gestational age</dc:subject><dc:subject>Small for gestational age</dc:subject><dc:subject>ECHO Cohort Consortium</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Amines (mesh)</dc:subject><dc:subject>Triazines (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Maternal Exposure (mesh)</dc:subject><dc:subject>Fetal Development (mesh)</dc:subject><dc:subject>Gestational Age (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Infant</dc:subject><dc:subject>Newborn (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Aromatic amines</dc:subject><dc:subject>Birthweight</dc:subject><dc:subject>Cyanuric acid</dc:subject><dc:subject>Gestational age</dc:subject><dc:subject>Large for gestational age</dc:subject><dc:subject>Low birthweight</dc:subject><dc:subject>Melamine</dc:subject><dc:subject>Preterm birth</dc:subject><dc:subject>Small for gestational age</dc:subject><dc:subject>Triazines (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Fetal Development (mesh)</dc:subject><dc:subject>Gestational Age (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Maternal Exposure (mesh)</dc:subject><dc:subject>Amines (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Infant</dc:subject><dc:subject>Newborn (mesh)</dc:subject><dc:subject>Environmental Sciences (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY-NC-ND</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2fd2j700</dc:identifier><dc:identifier>https://escholarship.org/content/qt2fd2j700/qt2fd2j700.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.envint.2024.109227</dc:identifier><dc:type>article</dc:type><dc:source>Environment International, vol 195</dc:source><dc:coverage>109227</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3cq0b6g2</identifier><datestamp>2026-07-31T09:31:38Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3cq0b6g2</dc:identifier><dc:title>Associations of Organophosphate Ester Flame Retardant Exposures during Pregnancy with Gestational Duration and Fetal Growth: The Environmental influences on Child Health Outcomes (ECHO) Program</dc:title><dc:creator>Oh, Jiwon</dc:creator><dc:creator>Buckley, Jessie P</dc:creator><dc:creator>Li, Xuan</dc:creator><dc:creator>Gachigi, Kennedy K</dc:creator><dc:creator>Kannan, Kurunthachalam</dc:creator><dc:creator>Lyu, Wenjie</dc:creator><dc:creator>Ames, Jennifer L</dc:creator><dc:creator>Barrett, Emily S</dc:creator><dc:creator>Bastain, Theresa M</dc:creator><dc:creator>Breton, Carrie V</dc:creator><dc:creator>Buss, Claudia</dc:creator><dc:creator>Croen, Lisa A</dc:creator><dc:creator>Dunlop, Anne L</dc:creator><dc:creator>Ferrara, Assiamira</dc:creator><dc:creator>Ghassabian, Akhgar</dc:creator><dc:creator>Herbstman, Julie B</dc:creator><dc:creator>Hernandez-Castro, Ixel</dc:creator><dc:creator>Hertz-Picciotto, Irva</dc:creator><dc:creator>Kahn, Linda G</dc:creator><dc:creator>Karagas, Margaret R</dc:creator><dc:creator>Kuiper, Jordan R</dc:creator><dc:creator>McEvoy, Cindy T</dc:creator><dc:creator>Meeker, John D</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:creator>Padula, Amy M</dc:creator><dc:creator>Romano, Megan E</dc:creator><dc:creator>Sathyanarayana, Sheela</dc:creator><dc:creator>Schantz, Susan</dc:creator><dc:creator>Schmidt, Rebecca J</dc:creator><dc:creator>Simhan, Hyagriv</dc:creator><dc:creator>Starling, Anne P</dc:creator><dc:creator>Tylavsky, Frances A</dc:creator><dc:creator>Volk, Heather E</dc:creator><dc:creator>Woodruff, Tracey J</dc:creator><dc:creator>Zhu, Yeyi</dc:creator><dc:creator>Bennett, Deborah H</dc:creator><dc:creator>Outcomes, program collaborators for Environmental influences on Child Health</dc:creator><dc:date>2024-01-01</dc:date><dc:description>BACKGROUND: Widespread exposure to organophosphate ester (OPE) flame retardants with potential reproductive toxicity raises concern regarding the impacts of gestational exposure on birth outcomes. Previous studies of prenatal OPE exposure and birth outcomes had limited sample sizes, with inconclusive results.
OBJECTIVES: We conducted a collaborative analysis of associations between gestational OPE exposures and adverse birth outcomes and tested whether associations were modified by sex.
METHODS: We included 6,646 pregnant participants from 16 cohorts in the Environmental influences on Child Health Outcomes (ECHO) Program. Nine OPE biomarkers were quantified in maternal urine samples collected primarily during the second and third trimester and modeled as -transformed continuous, categorized (high/low/nondetect), or dichotomous (detect/nondetect) variables depending on detection frequency. We used covariate-adjusted linear, logistic, and multinomial regression with generalized estimating equations, accounting for cohort-level clustering, to estimate associations of OPE biomarkers with gestational length and birth weight outcomes. Secondarily, we assessed effect modification by sex.
RESULTS: Three OPE biomarkers [diphenyl phosphate (DPHP), a composite of dibutyl phosphate and di-isobutyl phosphate (DBUP/DIBP), and bis(1,3-dichloro-2-propyl) phosphate] were detected in  of participants. In adjusted models, DBUP/DIBP [odds ratio (OR) per ; 95% confidence interval (CI): 1.02, 1.12] and bis(butoxyethyl) phosphate (OR for high vs. ; 95% CI: 1.06, 1.46), but not other OPE biomarkers, were associated with higher odds of preterm birth. We observed effect modification by sex for associations of DPHP and high bis(2-chloroethyl) phosphate with completed gestational weeks and odds of preterm birth, with adverse associations among females. In addition, newborns of mothers with detectable bis(1-chloro-2-propyl) phosphate, bis(2-methylphenyl) phosphate, and dipropyl phosphate had higher birth weight-for-gestational-age -scores ( for detect vs. ); other chemicals showed null associations.
DISCUSSION: In the largest study to date, we find gestational exposures to several OPEs are associated with earlier timing of birth, especially among female neonates, or with greater fetal growth. https://doi.org/10.1289/EHP13182.</dc:description><dc:subject>3215 Reproductive Medicine (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>Conditions Affecting the Embryonic and Fetal Periods (rcdc)</dc:subject><dc:subject>Perinatal Period - Conditions Originating in Perinatal Period (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Contraception/Reproduction (rcdc)</dc:subject><dc:subject>Pregnancy (rcdc)</dc:subject><dc:subject>Endocrine Disruptors (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Infant Mortality (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Maternal Health (rcdc)</dc:subject><dc:subject>Reproductive health and childbirth (hrcs-hc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Infant</dc:subject><dc:subject>Newborn (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Flame Retardants (mesh)</dc:subject><dc:subject>Birth Weight (mesh)</dc:subject><dc:subject>Premature Birth (mesh)</dc:subject><dc:subject>Phosphates (mesh)</dc:subject><dc:subject>Fetal Development (mesh)</dc:subject><dc:subject>Organophosphates (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Outcome Assessment</dc:subject><dc:subject>Health Care (mesh)</dc:subject><dc:subject>Esters (mesh)</dc:subject><dc:subject>Biphenyl Compounds (mesh)</dc:subject><dc:subject>program collaborators for Environmental influences on Child Health Outcomes</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Premature Birth (mesh)</dc:subject><dc:subject>Birth Weight (mesh)</dc:subject><dc:subject>Phosphates (mesh)</dc:subject><dc:subject>Esters (mesh)</dc:subject><dc:subject>Biphenyl Compounds (mesh)</dc:subject><dc:subject>Flame Retardants (mesh)</dc:subject><dc:subject>Fetal Development (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Infant</dc:subject><dc:subject>Newborn (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Organophosphates (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Outcome Assessment</dc:subject><dc:subject>Health Care (mesh)</dc:subject><dc:subject>Infant</dc:subject><dc:subject>Newborn (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Flame Retardants (mesh)</dc:subject><dc:subject>Birth Weight (mesh)</dc:subject><dc:subject>Premature Birth (mesh)</dc:subject><dc:subject>Phosphates (mesh)</dc:subject><dc:subject>Fetal Development (mesh)</dc:subject><dc:subject>Organophosphates (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Outcome Assessment</dc:subject><dc:subject>Health Care (mesh)</dc:subject><dc:subject>Esters (mesh)</dc:subject><dc:subject>Biphenyl Compounds (mesh)</dc:subject><dc:subject>05 Environmental Sciences (for)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:subject>Toxicology (science-metrix)</dc:subject><dc:subject>32 Biomedical and clinical sciences (for-2020)</dc:subject><dc:subject>41 Environmental sciences (for-2020)</dc:subject><dc:subject>42 Health sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3cq0b6g2</dc:identifier><dc:identifier>https://escholarship.org/content/qt3cq0b6g2/qt3cq0b6g2.pdf</dc:identifier><dc:identifier>info:doi/10.1289/ehp13182</dc:identifier><dc:type>article</dc:type><dc:source>Environmental Health Perspectives, vol 132, iss 1</dc:source><dc:coverage>017004</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1k7808h8</identifier><datestamp>2026-07-31T09:31:28Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1k7808h8</dc:identifier><dc:title>Developing a National-Scale Exposure Index for Combined Environmental Hazards and Social Stressors and Applications to the Environmental Influences on Child Health Outcomes (ECHO) Cohort</dc:title><dc:creator>Martenies, Sheena E</dc:creator><dc:creator>Zhang, Mingyu</dc:creator><dc:creator>Corrigan, Anne E</dc:creator><dc:creator>Kvit, Anton</dc:creator><dc:creator>Shields, Timothy</dc:creator><dc:creator>Wheaton, William</dc:creator><dc:creator>Him, Deana Around</dc:creator><dc:creator>Aschner, Judy</dc:creator><dc:creator>Talavera-Barber, Maria M</dc:creator><dc:creator>Barrett, Emily S</dc:creator><dc:creator>Bastain, Theresa M</dc:creator><dc:creator>Bendixsen, Casper</dc:creator><dc:creator>Breton, Carrie V</dc:creator><dc:creator>Bush, Nicole R</dc:creator><dc:creator>Cacho, Ferdinand</dc:creator><dc:creator>Camargo, Carlos A</dc:creator><dc:creator>Carroll, Kecia N</dc:creator><dc:creator>Carter, Brian S</dc:creator><dc:creator>Cassidy-Bushrow, Andrea E</dc:creator><dc:creator>Cowell, Whitney</dc:creator><dc:creator>Croen, Lisa A</dc:creator><dc:creator>Dabelea, Dana</dc:creator><dc:creator>Duarte, Cristiane S</dc:creator><dc:creator>Dunlop, Anne L</dc:creator><dc:creator>Everson, Todd M</dc:creator><dc:creator>Habre, Rima</dc:creator><dc:creator>Hartert, Tina V</dc:creator><dc:creator>Helderman, Jennifer B</dc:creator><dc:creator>Hipwell, Alison E</dc:creator><dc:creator>Karagas, Margaret R</dc:creator><dc:creator>Lester, Barry M</dc:creator><dc:creator>LeWinn, Kaja Z</dc:creator><dc:creator>Magzamen, Sheryl</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:creator>O’Connor, Thomas G</dc:creator><dc:creator>Padula, Amy M</dc:creator><dc:creator>Petriello, Michael</dc:creator><dc:creator>Sathyanarayana, Sheela</dc:creator><dc:creator>Stanford, Joseph B</dc:creator><dc:creator>Woodruff, Tracey J</dc:creator><dc:creator>Wright, Rosalind J</dc:creator><dc:creator>Kress, Amii M</dc:creator><dc:date>2023-07-01</dc:date><dc:description>Tools for assessing multiple exposures across several domains (e.g., physical, chemical, and social) are of growing importance in social and environmental epidemiology because of their value in uncovering disparities and their impact on health outcomes. Here we describe work done within the Environmental influences on Child Health Outcomes (ECHO)-wide Cohort Study to build a combined exposure index. Our index considered both environmental hazards and social stressors simultaneously with national coverage for a 10-year period. Our goal was to build this index and demonstrate its utility for assessing differences in exposure for pregnancies enrolled in the ECHO-wide Cohort Study. Our unitless combined exposure index, which collapses census-tract level data into a single relative measure of exposure ranging from 0-1 (where higher values indicate higher exposure to hazards), includes indicators for major air pollutants and air toxics, features of the built environment, traffic exposures, and social determinants of health (e.g., lower educational attainment) drawn from existing data sources. We observed temporal and geographic variations in index values, with exposures being highest among participants living in the West and Northeast regions. Pregnant people who identified as Black or Hispanic (of any race) were at higher risk of living in a "high" exposure census tract (defined as an index value above 0.5) relative to those who identified as White or non-Hispanic. Index values were also higher for pregnant people with lower educational attainment. Several recommendations follow from our work, including that environmental and social stressor datasets with higher spatial and temporal resolutions are needed to ensure index-based tools fully capture the total environmental context.</dc:description><dc:subject>4202 Epidemiology (for-2020)</dc:subject><dc:subject>4206 Public Health (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>44 Human Society (for-2020)</dc:subject><dc:subject>Health Disparities and Racial or Ethnic Minority Health Research (rcdc)</dc:subject><dc:subject>Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Basic Behavioral and Social Science (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Health Disparities (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Minority Health (rcdc)</dc:subject><dc:subject>Social Determinants of Health (rcdc)</dc:subject><dc:subject>Climate-Related Exposures and Conditions (rcdc)</dc:subject><dc:subject>2.2 Factors relating to the physical environment (hrcs-rac)</dc:subject><dc:subject>2.3 Psychological</dc:subject><dc:subject>social and economic factors (hrcs-rac)</dc:subject><dc:subject>Generic health relevance (hrcs-hc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Air Pollutants (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Environmental Exposure (mesh)</dc:subject><dc:subject>Environmental Health (mesh)</dc:subject><dc:subject>Hispanic or Latino (mesh)</dc:subject><dc:subject>Outcome Assessment</dc:subject><dc:subject>Health Care (mesh)</dc:subject><dc:subject>White (mesh)</dc:subject><dc:subject>Black or African American (mesh)</dc:subject><dc:subject>Program Collaborators for Environmental Influences on Child Health Outcomes</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Air Pollutants (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Environmental Health (mesh)</dc:subject><dc:subject>Environmental Exposure (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Outcome Assessment</dc:subject><dc:subject>Health Care (mesh)</dc:subject><dc:subject>Hispanic or Latino (mesh)</dc:subject><dc:subject>Black or African American (mesh)</dc:subject><dc:subject>White (mesh)</dc:subject><dc:subject>environmental hazards</dc:subject><dc:subject>health disparities</dc:subject><dc:subject>neighborhoods</dc:subject><dc:subject>social stressors</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Air Pollutants (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Environmental Exposure (mesh)</dc:subject><dc:subject>Environmental Health (mesh)</dc:subject><dc:subject>Hispanic or Latino (mesh)</dc:subject><dc:subject>Outcome Assessment</dc:subject><dc:subject>Health Care (mesh)</dc:subject><dc:subject>White (mesh)</dc:subject><dc:subject>Black or African American (mesh)</dc:subject><dc:subject>Toxicology (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1k7808h8</dc:identifier><dc:identifier>https://escholarship.org/content/qt1k7808h8/qt1k7808h8.pdf</dc:identifier><dc:identifier>info:doi/10.3390/ijerph20146339</dc:identifier><dc:type>article</dc:type><dc:source>International Journal of Environmental Research and Public Health, vol 20, iss 14</dc:source><dc:coverage>6339</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt07n738vz</identifier><datestamp>2026-07-31T09:31:18Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt07n738vz</dc:identifier><dc:title>Exposure to Contemporary and Emerging Chemicals in Commerce among Pregnant Women in the United States: The Environmental influences on Child Health Outcome (ECHO) Program</dc:title><dc:creator>Buckley, Jessie P</dc:creator><dc:creator>Kuiper, Jordan R</dc:creator><dc:creator>Bennett, Deborah H</dc:creator><dc:creator>Barrett, Emily S</dc:creator><dc:creator>Bastain, Tracy</dc:creator><dc:creator>Breton, Carrie V</dc:creator><dc:creator>Chinthakindi, Sridhar</dc:creator><dc:creator>Dunlop, Anne L</dc:creator><dc:creator>Farzan, Shohreh F</dc:creator><dc:creator>Herbstman, Julie B</dc:creator><dc:creator>Karagas, Margaret R</dc:creator><dc:creator>Marsit, Carmen J</dc:creator><dc:creator>Meeker, John D</dc:creator><dc:creator>Morello-Frosch, Rachel</dc:creator><dc:creator>O’Connor, Thomas G</dc:creator><dc:creator>Romano, Megan E</dc:creator><dc:creator>Schantz, Susan</dc:creator><dc:creator>Schmidt, Rebecca J</dc:creator><dc:creator>Watkins, Deborah J</dc:creator><dc:creator>Zhu, Hongkai</dc:creator><dc:creator>Pellizzari, Edo D</dc:creator><dc:creator>Kannan, Kurunthachalam</dc:creator><dc:creator>Woodruff, Tracey J</dc:creator><dc:date>2022-05-17</dc:date><dc:description>Prenatal chemical exposures can influence maternal and child health; however, few industrial chemicals are routinely biomonitored. We assessed an extensive panel of contemporary and emerging chemicals in 171 pregnant women across the United States (U.S.) and Puerto Rico in the Environmental influences on Child Health Outcomes (ECHO) Program. We simultaneously measured urinary concentrations of 89 analytes (103 total chemicals representing 73 parent compounds) in nine chemical groups: bactericides, benzophenones, bisphenols, fungicides and herbicides, insecticides, organophosphate esters (OPEs), parabens, phthalates/alternative plasticizers, and polycyclic aromatic hydrocarbons (PAHs). We estimated associations of creatinine-adjusted concentrations with sociodemographic and specimen characteristics. Among our diverse prenatal population (60% non-Hispanic Black or Hispanic), we detected 73 of 89 analytes in ≥1 participant and 36 in &amp;gt;50% of participants. Five analytes not currently included in the U.S. biomonitoring were detected in ≥90% of samples: benzophenone-1, thiamethoxam, mono-2-(propyl-6-carboxy-hexyl) phthalate, monocarboxy isooctyl phthalate, and monohydroxy-iso-decyl phthalate. Many analyte concentrations were higher among women of Hispanic ethnicity compared to those of non-Hispanic White women. Concentrations of certain chemicals decreased with the calendar year, whereas concentrations of their replacements increased. Our largest study to date identified widespread exposures to prevalent and understudied chemicals in a diverse sample of pregnant women in the U.S.</dc:description><dc:subject>41 Environmental Sciences (for-2020)</dc:subject><dc:subject>4105 Pollution and Contamination (for-2020)</dc:subject><dc:subject>42 Health Sciences (for-2020)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Endocrine Disruptors (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Health Disparities and Racial or Ethnic Minority Health Research (rcdc)</dc:subject><dc:subject>Pediatric Research Initiative (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Social Determinants of Health (rcdc)</dc:subject><dc:subject>Health Disparities (rcdc)</dc:subject><dc:subject>Pregnancy (rcdc)</dc:subject><dc:subject>Minority Health (rcdc)</dc:subject><dc:subject>3 Good Health and Well Being (sdg)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Commerce (mesh)</dc:subject><dc:subject>Environmental Exposure (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Outcome Assessment</dc:subject><dc:subject>Health Care (mesh)</dc:subject><dc:subject>Phthalic Acids (mesh)</dc:subject><dc:subject>Plasticizers (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Pregnant People (mesh)</dc:subject><dc:subject>United States (mesh)</dc:subject><dc:subject>pregnancychild health</dc:subject><dc:subject>industrial chemical</dc:subject><dc:subject>pesticides</dc:subject><dc:subject>flame retardants</dc:subject><dc:subject>phthalates</dc:subject><dc:subject>bisphenols</dc:subject><dc:subject>parabens</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Phthalic Acids (mesh)</dc:subject><dc:subject>Plasticizers (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Environmental Exposure (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Commerce (mesh)</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>United States (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Outcome Assessment</dc:subject><dc:subject>Health Care (mesh)</dc:subject><dc:subject>Pregnant People (mesh)</dc:subject><dc:subject>bisphenols</dc:subject><dc:subject>flame retardants</dc:subject><dc:subject>industrial chemical</dc:subject><dc:subject>parabens</dc:subject><dc:subject>pesticides</dc:subject><dc:subject>phthalates</dc:subject><dc:subject>pregnancychild health</dc:subject><dc:subject>Child (mesh)</dc:subject><dc:subject>Commerce (mesh)</dc:subject><dc:subject>Environmental Exposure (mesh)</dc:subject><dc:subject>Environmental Pollutants (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Outcome Assessment</dc:subject><dc:subject>Health Care (mesh)</dc:subject><dc:subject>Phthalic Acids (mesh)</dc:subject><dc:subject>Plasticizers (mesh)</dc:subject><dc:subject>Pregnancy (mesh)</dc:subject><dc:subject>Pregnant People (mesh)</dc:subject><dc:subject>United States (mesh)</dc:subject><dc:subject>Environmental Sciences (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY-NC-ND</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/07n738vz</dc:identifier><dc:identifier>https://escholarship.org/content/qt07n738vz/qt07n738vz.pdf</dc:identifier><dc:identifier>info:doi/10.1021/acs.est.1c08942</dc:identifier><dc:type>article</dc:type><dc:source>Environmental Science and Technology, vol 56, iss 10</dc:source><dc:coverage>6560 - 6573</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5cg5z5ww</identifier><datestamp>2026-07-31T09:28:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5cg5z5ww</dc:identifier><dc:title>Ion correlations explain kinetic selectivity in diffusion-limited solid-state synthesis reactions</dc:title><dc:creator>Karan, Vir</dc:creator><dc:creator>Gallant, Max C</dc:creator><dc:creator>Fei, Yuxing</dc:creator><dc:creator>Ceder, Gerbrand</dc:creator><dc:creator>Persson, Kristin A</dc:creator><dc:date>2026-04-28</dc:date><dc:description>Establishing viable solid-state synthesis pathways for novel inorganic materials remains a major challenge in materials science. Previous pathway design methods using pairwise reaction approaches have navigated the thermodynamic landscape with first-principles data but lack kinetic information, limiting their effectiveness. This gap leads to suboptimal precursor selection and predictions, especially for reactions forming competing phases with similar formation energies, where ion diffusion is a critical influence. Here we demonstrate an inorganic synthesis framework by incorporating machine learning-derived transport properties through ‘liquid-like’ product layers into a thermodynamic cellular reaction model. In the Ba–Ti–O system, known for its competitive polymorphism, we obtain accurate predictions of phase formation with varying BaO:TiO2 ratios as a function of time and temperature. We find that diffusion–thermodynamics interplay governs phase compositions, with cross-ion transport coefficients critical for predicting diffusion-limited selectivity. This work bridges length scales and timescales by integrating solid-state reaction kinetics with first-principles thermodynamics and spatial reactivity.</dc:description><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>3406 Physical Chemistry (for-2020)</dc:subject><dc:subject>Machine Learning and Artificial Intelligence (rcdc)</dc:subject><dc:subject>Nanoscience &amp; Nanotechnology (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5cg5z5ww</dc:identifier><dc:identifier>https://escholarship.org/content/qt5cg5z5ww/qt5cg5z5ww.pdf</dc:identifier><dc:identifier>info:doi/10.1038/s41563-026-02596-5</dc:identifier><dc:type>article</dc:type><dc:source>Nature Materials, vol 25, iss 8</dc:source><dc:coverage>1 - 8</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8h8126h1</identifier><datestamp>2026-07-31T09:26:43Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8h8126h1</dc:identifier><dc:title>Measurement of the differential cross section and charge asymmetry for inclusive pp→W±+X production at s=8 TeV</dc:title><dc:creator>Khachatryan, V</dc:creator><dc:creator>Sirunyan, AM</dc:creator><dc:creator>Tumasyan, A</dc:creator><dc:creator>Adam, W</dc:creator><dc:creator>Asilar, E</dc:creator><dc:creator>Bergauer, T</dc:creator><dc:creator>Brandstetter, J</dc:creator><dc:creator>Brondolin, E</dc:creator><dc:creator>Dragicevic, M</dc:creator><dc:creator>Erö, J</dc:creator><dc:creator>Flechl, M</dc:creator><dc:creator>Friedl, M</dc:creator><dc:creator>Frühwirth, R</dc:creator><dc:creator>Ghete, VM</dc:creator><dc:creator>Hartl, C</dc:creator><dc:creator>Hörmann, N</dc:creator><dc:creator>Hrubec, J</dc:creator><dc:creator>Jeitler, M</dc:creator><dc:creator>König, A</dc:creator><dc:creator>Krammer, M</dc:creator><dc:creator>Krätschmer, I</dc:creator><dc:creator>Liko, D</dc:creator><dc:creator>Matsushita, T</dc:creator><dc:creator>Mikulec, I</dc:creator><dc:creator>Rabady, D</dc:creator><dc:creator>Rad, N</dc:creator><dc:creator>Rahbaran, B</dc:creator><dc:creator>Rohringer, H</dc:creator><dc:creator>Schieck, J</dc:creator><dc:creator>Schöfbeck, R</dc:creator><dc:creator>Strauss, J</dc:creator><dc:creator>Treberer-Treberspurg, W</dc:creator><dc:creator>Waltenberger, W</dc:creator><dc:creator>Wulz, C-E</dc:creator><dc:creator>Mossolov, V</dc:creator><dc:creator>Shumeiko, N</dc:creator><dc:creator>Suarez Gonzalez, J</dc:creator><dc:creator>Alderweireldt, S</dc:creator><dc:creator>Cornelis, T</dc:creator><dc:creator>De Wolf, EA</dc:creator><dc:creator>Janssen, X</dc:creator><dc:creator>Knutsson, A</dc:creator><dc:creator>Lauwers, J</dc:creator><dc:creator>Luyckx, S</dc:creator><dc:creator>Van De Klundert, M</dc:creator><dc:creator>Van Haevermaet, H</dc:creator><dc:creator>Van Mechelen, P</dc:creator><dc:creator>Van Remortel, N</dc:creator><dc:creator>Van Spilbeeck, A</dc:creator><dc:creator>Abu Zeid, S</dc:creator><dc:creator>Blekman, F</dc:creator><dc:creator>D’Hondt, J</dc:creator><dc:creator>Daci, N</dc:creator><dc:creator>De Bruyn, I</dc:creator><dc:creator>Deroover, K</dc:creator><dc:creator>Heracleous, N</dc:creator><dc:creator>Keaveney, J</dc:creator><dc:creator>Lowette, S</dc:creator><dc:creator>Moortgat, S</dc:creator><dc:creator>Moreels, L</dc:creator><dc:creator>Olbrechts, A</dc:creator><dc:creator>Python, Q</dc:creator><dc:creator>Strom, D</dc:creator><dc:creator>Tavernier, S</dc:creator><dc:creator>Van Doninck, W</dc:creator><dc:creator>Van Mulders, P</dc:creator><dc:creator>Van Parijs, I</dc:creator><dc:creator>Brun, H</dc:creator><dc:creator>Caillol, C</dc:creator><dc:creator>Clerbaux, B</dc:creator><dc:creator>De Lentdecker, G</dc:creator><dc:creator>Fasanella, G</dc:creator><dc:creator>Favart, L</dc:creator><dc:creator>Goldouzian, R</dc:creator><dc:creator>Grebenyuk, A</dc:creator><dc:creator>Karapostoli, G</dc:creator><dc:creator>Lenzi, T</dc:creator><dc:creator>Léonard, A</dc:creator><dc:creator>Maerschalk, T</dc:creator><dc:creator>Marinov, A</dc:creator><dc:creator>Randle-conde, A</dc:creator><dc:creator>Seva, T</dc:creator><dc:creator>Vander Velde, C</dc:creator><dc:creator>Vanlaer, P</dc:creator><dc:creator>Yonamine, R</dc:creator><dc:creator>Zenoni, F</dc:creator><dc:creator>Zhang, F</dc:creator><dc:creator>Benucci, L</dc:creator><dc:creator>Cimmino, A</dc:creator><dc:creator>Crucy, S</dc:creator><dc:creator>Dobur, D</dc:creator><dc:creator>Fagot, A</dc:creator><dc:creator>Garcia, G</dc:creator><dc:creator>Gul, M</dc:creator><dc:creator>Mccartin, J</dc:creator><dc:creator>Ocampo Rios, AA</dc:creator><dc:creator>Poyraz, D</dc:creator><dc:creator>Ryckbosch, D</dc:creator><dc:creator>Salva, S</dc:creator><dc:creator>Sigamani, M</dc:creator><dc:date>2016-08-01</dc:date><dc:description>The differential cross section and charge asymmetry for inclusive pp→W±+X→μ±ν+X$$\mathrm {p}\mathrm {p}\rightarrow \mathrm {W}^{\pm }+X \rightarrow \mu ^{\pm }
u +X$$ production at s=8TeV$$\sqrt{s}=8\,\mathrm{TeV} $$ are measured as a function of muon pseudorapidity. The data sample corresponds to an integrated luminosity of 18.8fb-1$$\,\text {fb}^{-1}$$ recorded with the CMS detector at the LHC. These results provide important constraints on the parton distribution functions of the proton in the range of the Bjorken scaling variable x from 10-3$$10^{-3}$$ to 10-1$$10^{-1}$$.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>0206 Quantum Physics (for)</dc:subject><dc:subject>Nuclear &amp; Particles Physics (science-metrix)</dc:subject><dc:subject>5101 Astronomical sciences (for-2020)</dc:subject><dc:subject>5102 Atomic</dc:subject><dc:subject>molecular and optical physics (for-2020)</dc:subject><dc:subject>5107 Particle and high energy physics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8h8126h1</dc:identifier><dc:identifier>https://escholarship.org/content/qt8h8126h1/qt8h8126h1.pdf</dc:identifier><dc:identifier>info:doi/10.1140/epjc/s10052-016-4293-4</dc:identifier><dc:type>article</dc:type><dc:source>European Physical Journal C, vol 76, iss 8</dc:source><dc:coverage>469</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9hr8h0ks</identifier><datestamp>2026-07-31T09:26:31Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9hr8h0ks</dc:identifier><dc:title>Association of diabetes mellitus and biochemical knee cartilage composition assessed by T2 relaxation time measurements: Data from the osteoarthritis initiative</dc:title><dc:creator>Chanchek, Nattagan</dc:creator><dc:creator>Gersing, Alexandra S</dc:creator><dc:creator>Schwaiger, Benedikt J</dc:creator><dc:creator>Nevitt, Michael C</dc:creator><dc:creator>Neumann, Jan</dc:creator><dc:creator>Joseph, Gabby B</dc:creator><dc:creator>Lane, Nancy E</dc:creator><dc:creator>Zarnowski, Julia</dc:creator><dc:creator>Hofmann, Felix C</dc:creator><dc:creator>Heilmeier, Ursula</dc:creator><dc:creator>McCulloch, Charles E</dc:creator><dc:creator>Link, Thomas M</dc:creator><dc:date>2018-02-01</dc:date><dc:description>PURPOSE: To investigate the association of the presence and severity of diabetes mellitus (DM) with articular cartilage composition, using magnetic resonance imaging (MRI)-based T2 relaxation time measurements, and structural knee abnormalities.
MATERIALS AND METHODS: In the Osteoarthritis Initiative 208, participants with DM (age 63.0 ± 8.9 years; 111 females) and risk factors for osteoarthritis (OA) or mild radiographic tibiofemoral OA (Kellgren-Lawrence [KL] grade ≤2) were identified and group-matched with 208 controls without DM (age 63.3 ± 9.1 years; 111 females). Subjects with diabetes-related renal or ophthalmological complications or insulin treatment at baseline (n = 50) were defined as severe DM. 3T MR images of the right knee were assessed for articular cartilage T2 , including texture and laminar analyses derived from the patella, medial, and lateral femur and tibia and for structural abnormalities using the modified whole-organ magnetic resonance imaging score (WORMS). Clustered linear regression analyses were used to assess associations of DM with MRI findings.
RESULTS: DM subjects had significantly higher cartilage T2 in the patella (mean difference 0.92 msec [95% confidence interval (CI) 0.79, 1.06]; P = 0.001) and medial femur (mean difference 0.36 msec [95% CI 0.27, 0.81]; P = 0.006) compared to controls. Averaged over all compartments, DM subjects showed significantly higher texture parameters (variance, P = 0.001; contrast, P = 0.002; entropy, P &amp;lt; 0.001). Subjects with severe DM additionally showed higher T2 in the medial tibial deep and superficial layers (P = 0.011 and P = 0.041) compared to controls. No significant differences in cartilage, meniscus, and overall WORMS were found between the groups (P &amp;gt; 0.05).
CONCLUSION: In comparison to nondiabetic controls, cartilage in DM subjects showed higher and more heterogeneous cartilage T2 values, indicating increased articular cartilage degeneration. This affected even more compartments in subjects with severe DM.
LEVEL OF EVIDENCE: 2 Technical Efficacy: 5 J. Magn. Reson. Imaging 2018;47:380-390.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3202 Clinical Sciences (for-2020)</dc:subject><dc:subject>Biomedical Imaging (rcdc)</dc:subject><dc:subject>Osteoarthritis (rcdc)</dc:subject><dc:subject>Aging (rcdc)</dc:subject><dc:subject>Diabetes (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Arthritis (rcdc)</dc:subject><dc:subject>Musculoskeletal (hrcs-hc)</dc:subject><dc:subject>Cartilage Diseases (mesh)</dc:subject><dc:subject>Cartilage</dc:subject><dc:subject>Articular (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Diabetes Complications (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Knee Joint (mesh)</dc:subject><dc:subject>Longitudinal Studies (mesh)</dc:subject><dc:subject>Magnetic Resonance Imaging (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Osteoarthritis</dc:subject><dc:subject>Knee (mesh)</dc:subject><dc:subject>Risk Factors (mesh)</dc:subject><dc:subject>Severity of Illness Index (mesh)</dc:subject><dc:subject>Time (mesh)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3202 Clinical Sciences (for-2020)</dc:subject><dc:subject>Aging (rcdc)</dc:subject><dc:subject>Arthritis (rcdc)</dc:subject><dc:subject>Pain Research (rcdc)</dc:subject><dc:subject>Chronic Pain (rcdc)</dc:subject><dc:subject>Diabetes (rcdc)</dc:subject><dc:subject>Osteoarthritis (rcdc)</dc:subject><dc:subject>Musculoskeletal (hrcs-hc)</dc:subject><dc:subject>knee osteoarthritis</dc:subject><dc:subject>diabetes</dc:subject><dc:subject>cartilage imaging</dc:subject><dc:subject>magnetic resonance imaging</dc:subject><dc:subject>Cartilage</dc:subject><dc:subject>Articular (mesh)</dc:subject><dc:subject>Knee Joint (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Cartilage Diseases (mesh)</dc:subject><dc:subject>Osteoarthritis</dc:subject><dc:subject>Knee (mesh)</dc:subject><dc:subject>Diabetes Complications (mesh)</dc:subject><dc:subject>Magnetic Resonance Imaging (mesh)</dc:subject><dc:subject>Severity of Illness Index (mesh)</dc:subject><dc:subject>Risk Factors (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Longitudinal Studies (mesh)</dc:subject><dc:subject>Time (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>cartilage imaging</dc:subject><dc:subject>diabetes</dc:subject><dc:subject>knee osteoarthritis</dc:subject><dc:subject>magnetic resonance imaging</dc:subject><dc:subject>Cartilage Diseases (mesh)</dc:subject><dc:subject>Cartilage</dc:subject><dc:subject>Articular (mesh)</dc:subject><dc:subject>Cohort Studies (mesh)</dc:subject><dc:subject>Diabetes Complications (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Knee Joint (mesh)</dc:subject><dc:subject>Longitudinal Studies (mesh)</dc:subject><dc:subject>Magnetic Resonance Imaging (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Osteoarthritis</dc:subject><dc:subject>Knee (mesh)</dc:subject><dc:subject>Risk Factors (mesh)</dc:subject><dc:subject>Severity of Illness Index (mesh)</dc:subject><dc:subject>Time (mesh)</dc:subject><dc:subject>02 Physical Sciences (for)</dc:subject><dc:subject>09 Engineering (for)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:subject>Nuclear Medicine &amp; Medical Imaging (science-metrix)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9hr8h0ks</dc:identifier><dc:identifier>https://escholarship.org/content/qt9hr8h0ks/qt9hr8h0ks.pdf</dc:identifier><dc:identifier>info:doi/10.1002/jmri.25766</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Magnetic Resonance Imaging, vol 47, iss 2</dc:source><dc:coverage>380 - 390</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9mk4s55c</identifier><datestamp>2026-07-31T09:26:24Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9mk4s55c</dc:identifier><dc:title>Measurements of the tt¯ production cross section in lepton+jets final states in pp collisions at 8 TeV and ratio of 8 to 7 TeV cross sections</dc:title><dc:creator>Khachatryan, V</dc:creator><dc:creator>Sirunyan, AM</dc:creator><dc:creator>Tumasyan, A</dc:creator><dc:creator>Adam, W</dc:creator><dc:creator>Asilar, E</dc:creator><dc:creator>Bergauer, T</dc:creator><dc:creator>Brandstetter, J</dc:creator><dc:creator>Brondolin, E</dc:creator><dc:creator>Dragicevic, M</dc:creator><dc:creator>Erö, J</dc:creator><dc:creator>Flechl, M</dc:creator><dc:creator>Friedl, M</dc:creator><dc:creator>Frühwirth, R</dc:creator><dc:creator>Ghete, VM</dc:creator><dc:creator>Hartl, C</dc:creator><dc:creator>Hörmann, N</dc:creator><dc:creator>Hrubec, J</dc:creator><dc:creator>Jeitler, M</dc:creator><dc:creator>Knünz, V</dc:creator><dc:creator>König, A</dc:creator><dc:creator>Krammer, M</dc:creator><dc:creator>Krätschmer, I</dc:creator><dc:creator>Liko, D</dc:creator><dc:creator>Matsushita, T</dc:creator><dc:creator>Mikulec, I</dc:creator><dc:creator>Rabady, D</dc:creator><dc:creator>Rahbaran, B</dc:creator><dc:creator>Rohringer, H</dc:creator><dc:creator>Schieck, J</dc:creator><dc:creator>Schöfbeck, R</dc:creator><dc:creator>Strauss, J</dc:creator><dc:creator>Treberer-Treberspurg, W</dc:creator><dc:creator>Waltenberger, W</dc:creator><dc:creator>Wulz, C-E</dc:creator><dc:creator>Mossolov, V</dc:creator><dc:creator>Shumeiko, N</dc:creator><dc:creator>Suarez Gonzalez, J</dc:creator><dc:creator>Alderweireldt, S</dc:creator><dc:creator>Cornelis, T</dc:creator><dc:creator>De Wolf, EA</dc:creator><dc:creator>Janssen, X</dc:creator><dc:creator>Knutsson, A</dc:creator><dc:creator>Lauwers, J</dc:creator><dc:creator>Luyckx, S</dc:creator><dc:creator>Van De Klundert, M</dc:creator><dc:creator>Van Haevermaet, H</dc:creator><dc:creator>Van Mechelen, P</dc:creator><dc:creator>Van Remortel, N</dc:creator><dc:creator>Van Spilbeeck, A</dc:creator><dc:creator>Zeid, S Abu</dc:creator><dc:creator>Blekman, F</dc:creator><dc:creator>D’Hondt, J</dc:creator><dc:creator>Daci, N</dc:creator><dc:creator>De Bruyn, I</dc:creator><dc:creator>Deroover, K</dc:creator><dc:creator>Heracleous, N</dc:creator><dc:creator>Keaveney, J</dc:creator><dc:creator>Lowette, S</dc:creator><dc:creator>Maes, M</dc:creator><dc:creator>Moreels, L</dc:creator><dc:creator>Olbrechts, A</dc:creator><dc:creator>Python, Q</dc:creator><dc:creator>Strom, D</dc:creator><dc:creator>Tavernier, S</dc:creator><dc:creator>Van Doninck, W</dc:creator><dc:creator>Van Mulders, P</dc:creator><dc:creator>Van Onsem, GP</dc:creator><dc:creator>Van Parijs, I</dc:creator><dc:creator>Barria, P</dc:creator><dc:creator>Brun, H</dc:creator><dc:creator>Caillol, C</dc:creator><dc:creator>Clerbaux, B</dc:creator><dc:creator>De Lentdecker, G</dc:creator><dc:creator>Fasanella, G</dc:creator><dc:creator>Favart, L</dc:creator><dc:creator>Grebenyuk, A</dc:creator><dc:creator>Karapostoli, G</dc:creator><dc:creator>Lenzi, T</dc:creator><dc:creator>Léonard, A</dc:creator><dc:creator>Maerschalk, T</dc:creator><dc:creator>Marinov, A</dc:creator><dc:creator>Perniè, L</dc:creator><dc:creator>Randle-conde, A</dc:creator><dc:creator>Reis, T</dc:creator><dc:creator>Seva, T</dc:creator><dc:creator>Velde, C Vander</dc:creator><dc:creator>Vanlaer, P</dc:creator><dc:creator>Yonamine, R</dc:creator><dc:creator>Zenoni, F</dc:creator><dc:creator>Zhang, F</dc:creator><dc:creator>Beernaert, K</dc:creator><dc:creator>Benucci, L</dc:creator><dc:creator>Cimmino, A</dc:creator><dc:creator>Costantini, S</dc:creator><dc:creator>Crucy, S</dc:creator><dc:creator>Dobur, D</dc:creator><dc:creator>Fagot, A</dc:creator><dc:creator>Garcia, G</dc:creator><dc:creator>Gul, M</dc:creator><dc:creator>Mccartin, J</dc:creator><dc:date>2017-01-01</dc:date><dc:description>A measurement of the top quark pair production (tt¯$$\mathrm{t}\overline{\mathrm{t}} $$) cross section in proton–proton collisions at the centre-of-mass energy of&amp;nbsp;8TeV$$\,\text {TeV}$$ is presented using data collected with the CMS detector at the LHC, corresponding to an integrated luminosity of 19.6fb-1$$\,\text {fb}^{-\text {1}}$$. This analysis is performed in the tt¯$$\mathrm{t}\overline{\mathrm{t}} $$ decay channels with one isolated, high transverse momentum electron or muon and at least four jets, at least one of which is required to be identified as originating from hadronization of a b&amp;nbsp;quark. The calibration of the jet energy scale and the efficiency of b&amp;nbsp;jet identification are determined from data. The measured tt¯$$\mathrm{t}\overline{\mathrm{t}} $$ cross section is 228.5±3.8(stat)±13.7(syst)±6.0(lumi) pb$$228.5 \pm 3.8\,\text {(stat)} \pm 13.7\,\text {(syst)} \pm 6.0\,\text {(lumi)} \text { pb} $$. This measurement is compared with an analysis of 7TeV$$\,\text {TeV}$$ data, corresponding to an integrated luminosity of 5.0fb-1$$\,\text {fb}^{-\text {1}}$$, to determine the ratio of 8TeV$$\,\text {TeV}$$ to 7TeV$$\,\text {TeV}$$ cross sections, which is found to be 1.43±0.04(stat)±0.07(syst)±0.05(lumi)$$1.43 \pm 0.04\,\text {(stat)} \pm 0.07\,\text {(syst)} \pm 0.05\,\text {(lumi)} $$. The measurements are in agreement with QCD predictions up to next-to-next-to-leading order.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>7 Affordable and Clean Energy (sdg)</dc:subject><dc:subject>ATLAS Collaboration</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>0206 Quantum Physics (for)</dc:subject><dc:subject>Nuclear &amp; Particles Physics (science-metrix)</dc:subject><dc:subject>5101 Astronomical sciences (for-2020)</dc:subject><dc:subject>5102 Atomic</dc:subject><dc:subject>molecular and optical physics (for-2020)</dc:subject><dc:subject>5107 Particle and high energy physics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9mk4s55c</dc:identifier><dc:identifier>https://escholarship.org/content/qt9mk4s55c/qt9mk4s55c.pdf</dc:identifier><dc:identifier>info:doi/10.1140/epjc/s10052-016-4504-z</dc:identifier><dc:type>article</dc:type><dc:source>European Physical Journal C, vol 77, iss 1</dc:source><dc:coverage>15</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt17n103v7</identifier><datestamp>2026-07-31T09:23:44Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt17n103v7</dc:identifier><dc:title>Combined Measurement of the Higgs Boson Mass in pp Collisions at s=7 and 8 TeV with the ATLAS and CMS Experiments</dc:title><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abdallah, J</dc:creator><dc:creator>Abdinov, O</dc:creator><dc:creator>Aben, R</dc:creator><dc:creator>Abolins, M</dc:creator><dc:creator>AbouZeid, OS</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abreu, R</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adams, DL</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adomeit, S</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Agatonovic-Jovin, T</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahlen, SP</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Akerstedt, H</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akimoto, G</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Albrand, S</dc:creator><dc:creator>Verzini, MJ Alconada</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexander, G</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Alio, L</dc:creator><dc:creator>Alison, J</dc:creator><dc:creator>Alkire, SP</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Altheimer, A</dc:creator><dc:creator>Gonzalez, B Alvarez</dc:creator><dc:creator>Piqueras, D Álvarez</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Amadio, BT</dc:creator><dc:creator>Amako, K</dc:creator><dc:creator>Coutinho, Y Amaral</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Dos Santos, SP Amor</dc:creator><dc:creator>Amorim, A</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Amram, N</dc:creator><dc:creator>Amundsen, G</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Ancu, LS</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, G</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Anderson, KJ</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angelozzi, I</dc:creator><dc:creator>Anger, P</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anghinolfi, F</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Anjos, N</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antonov, A</dc:creator><dc:creator>Antos, J</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Bella, L Aperio</dc:creator><dc:creator>Arabidze, G</dc:creator><dc:creator>Arai, Y</dc:creator><dc:creator>Araque, JP</dc:creator><dc:creator>Arce, ATH</dc:creator><dc:creator>Arduh, FA</dc:creator><dc:creator>Arguin, J-F</dc:creator><dc:creator>Argyropoulos, S</dc:creator><dc:creator>Arik, M</dc:creator><dc:creator>Armbruster, AJ</dc:creator><dc:creator>Arnaez, O</dc:creator><dc:creator>Arnal, V</dc:creator><dc:creator>Arnold, H</dc:creator><dc:creator>Arratia, M</dc:creator><dc:creator>Arslan, O</dc:creator><dc:creator>Artamonov, A</dc:creator><dc:date>2015-05-15</dc:date><dc:description>A measurement of the Higgs boson mass is presented based on the combined data samples of the ATLAS and CMS experiments at the CERN LHC in the H→γγ and H→ZZ→4ℓ decay channels. The results are obtained from a simultaneous fit to the reconstructed invariant mass peaks in the two channels and for the two experiments. The measured masses from the individual channels and the two experiments are found to be consistent among themselves. The combined measured mass of the Higgs boson is m_{H}=125.09±0.21 (stat)±0.11 (syst) GeV.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>ATLAS Collaboration</dc:subject><dc:subject>CMS Collaboration</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>01 Mathematical Sciences (for)</dc:subject><dc:subject>02 Physical Sciences (for)</dc:subject><dc:subject>09 Engineering (for)</dc:subject><dc:subject>General Physics (science-metrix)</dc:subject><dc:subject>40 Engineering (for-2020)</dc:subject><dc:subject>49 Mathematical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/17n103v7</dc:identifier><dc:identifier>https://escholarship.org/content/qt17n103v7/qt17n103v7.pdf</dc:identifier><dc:identifier>info:doi/10.1103/physrevlett.114.191803</dc:identifier><dc:type>article</dc:type><dc:source>Physical Review Letters, vol 114, iss 19</dc:source><dc:coverage>191803</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2432x2wc</identifier><datestamp>2026-07-31T09:23:20Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2432x2wc</dc:identifier><dc:title>Search for heavy resonances decaying into a Z or W boson and a Higgs boson in final states with leptons and b-jets in 139 fb−1 of pp collisions at s = 13 TeV with the ATLAS detector</dc:title><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abbott, DC</dc:creator><dc:creator>Abeling, K</dc:creator><dc:creator>Abidi, SH</dc:creator><dc:creator>Aboulhorma, A</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Abusleme Hoffman, AC</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Achkar, B</dc:creator><dc:creator>Adam, L</dc:creator><dc:creator>Adam Bourdarios, C</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adamek, L</dc:creator><dc:creator>Addepalli, SV</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adiguzel, A</dc:creator><dc:creator>Adorni, S</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Afik, Y</dc:creator><dc:creator>Agaras, MN</dc:creator><dc:creator>Agarwala, J</dc:creator><dc:creator>Aggarwal, A</dc:creator><dc:creator>Agheorghiesei, C</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahmad, A</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Ahmed, WS</dc:creator><dc:creator>Ahuja, S</dc:creator><dc:creator>Ai, X</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Aizenberg, I</dc:creator><dc:creator>Akbiyik, M</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Al Khoury, K</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Albicocco, P</dc:creator><dc:creator>Alconada Verzini, MJ</dc:creator><dc:creator>Alderweireldt, S</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alfonsi, A</dc:creator><dc:creator>Alfonsi, F</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Ali, B</dc:creator><dc:creator>Ali, S</dc:creator><dc:creator>Aliev, M</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Allaire, C</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Alunno Camelia, E</dc:creator><dc:creator>Alvarez Estevez, M</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Amaral Coutinho, Y</dc:creator><dc:creator>Ambler, A</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Ames, CG</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Amor Dos Santos, SP</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Amos, KR</dc:creator><dc:creator>Amrouche, CS</dc:creator><dc:creator>Ananiev, V</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Andrean, SY</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antel, C</dc:creator><dc:creator>Anthony, MT</dc:creator><dc:creator>Antipov, E</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antrim, DJA</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Aoki, T</dc:creator><dc:creator>Aparisi Pozo, JA</dc:creator><dc:creator>Aparo, MA</dc:creator><dc:creator>Aperio Bella, L</dc:creator><dc:creator>Appelt, C</dc:creator><dc:creator>Aranzabal, N</dc:creator><dc:creator>Araujo Ferraz, V</dc:creator><dc:creator>Arcangeletti, C</dc:creator><dc:creator>Arce, ATH</dc:creator><dc:date>2023-01-01</dc:date><dc:description>This article presents a search for new resonances decaying into a Z or W boson and a 125 GeV Higgs boson h, and it targets the νν¯bb¯$$ 
u \overline{
u}b\overline{b} $$, ℓ+ℓ−bb¯$$ {\ell}^{+}{\ell}^{-}b\overline{b} $$, or ℓ±νbb¯$$ {\ell}^{\pm}
u b\overline{b} $$ final states, where ℓ = e or μ, in proton-proton collisions at s$$ \sqrt{s} $$ = 13 TeV. The data used correspond to a total integrated luminosity of 139 fb−1 collected by the ATLAS detector during Run 2 of the LHC at CERN. The search is conducted by examining the reconstructed invariant or transverse mass distributions of Zh or Wh candidates for evidence of a localised excess in the mass range from 220 GeV to 5 TeV. No significant excess is observed and 95% confidence-level upper limits between 1.3 pb and 0.3 fb are placed on the production cross section times branching fraction of neutral and charged spin-1 resonances and CP-odd scalar bosons. These limits are converted into constraints on the parameter space of the Heavy Vector Triplet model and the two-Higgs-doublet model.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>Hadron-Hadron Scattering</dc:subject><dc:subject>Beyond the Standard Model Searches</dc:subject><dc:subject>0105 Mathematical Physics (for)</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>0206 Quantum Physics (for)</dc:subject><dc:subject>Nuclear &amp; Particles Physics (science-metrix)</dc:subject><dc:subject>4902 Mathematical physics (for-2020)</dc:subject><dc:subject>5106 Nuclear and plasma physics (for-2020)</dc:subject><dc:subject>5107 Particle and high energy physics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2432x2wc</dc:identifier><dc:identifier>https://escholarship.org/content/qt2432x2wc/qt2432x2wc.pdf</dc:identifier><dc:identifier>info:doi/10.1007/jhep06(2023)016</dc:identifier><dc:type>article</dc:type><dc:source>Journal of High Energy Physics, vol 2023, iss 6</dc:source><dc:coverage>16</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3cb8d6n7</identifier><datestamp>2026-07-31T09:22:27Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3cb8d6n7</dc:identifier><dc:title>Measurement of Two-Point Energy Correlators within Jets in p+p Collisions at s=200 GeV</dc:title><dc:creator>Aboona, BE</dc:creator><dc:creator>Adam, J</dc:creator><dc:creator>Agakishiev, G</dc:creator><dc:creator>Aggarwal, I</dc:creator><dc:creator>Aggarwal, MM</dc:creator><dc:creator>Ahammed, Z</dc:creator><dc:creator>Aitbayev, A</dc:creator><dc:creator>Alekseev, I</dc:creator><dc:creator>Alpatov, E</dc:creator><dc:creator>Alshammri, AK</dc:creator><dc:creator>Aparin, A</dc:creator><dc:creator>Aslam, S</dc:creator><dc:creator>Atchison, J</dc:creator><dc:creator>Averichev, GS</dc:creator><dc:creator>Bairathi, V</dc:creator><dc:creator>Bao, X</dc:creator><dc:creator>Barish, K</dc:creator><dc:creator>Behera, S</dc:creator><dc:creator>Bhagat, P</dc:creator><dc:creator>Bhasin, A</dc:creator><dc:creator>Bhatta, S</dc:creator><dc:creator>Bielcik, J</dc:creator><dc:creator>Bielcikova, J</dc:creator><dc:creator>Bordyuzhin, IG</dc:creator><dc:creator>Brandenburg, JD</dc:creator><dc:creator>Brandin, AV</dc:creator><dc:creator>Broodo, C</dc:creator><dc:creator>Cai, XZ</dc:creator><dc:creator>Caines, H</dc:creator><dc:creator>Sánchez, M Calderón de la Barca</dc:creator><dc:creator>Cebra, D</dc:creator><dc:creator>Ceska, J</dc:creator><dc:creator>Chakaberia, I</dc:creator><dc:creator>Chang, YS</dc:creator><dc:creator>Chang, Z</dc:creator><dc:creator>Chatterjee, A</dc:creator><dc:creator>Chen, D</dc:creator><dc:creator>Chen, JH</dc:creator><dc:creator>Chen, Q</dc:creator><dc:creator>Chen, Z</dc:creator><dc:creator>Cheng, J</dc:creator><dc:creator>Cheng, Y</dc:creator><dc:creator>Christie, W</dc:creator><dc:creator>Chu, X</dc:creator><dc:creator>Corey, S</dc:creator><dc:creator>Crawford, HJ</dc:creator><dc:creator>Dale-Gau, G</dc:creator><dc:creator>Das, A</dc:creator><dc:creator>Dedovich, TG</dc:creator><dc:creator>Deppner, IM</dc:creator><dc:creator>Derevschikov, AA</dc:creator><dc:creator>Deshpande, A</dc:creator><dc:creator>Dhamija, A</dc:creator><dc:creator>Dimri, A</dc:creator><dc:creator>Dixit, P</dc:creator><dc:creator>Dong, X</dc:creator><dc:creator>Drachenberg, JL</dc:creator><dc:creator>Duckworth, E</dc:creator><dc:creator>Dunlop, JC</dc:creator><dc:creator>Engelage, J</dc:creator><dc:creator>Eppley, G</dc:creator><dc:creator>Esumi, S</dc:creator><dc:creator>Evdokimov, O</dc:creator><dc:creator>Eyser, O</dc:creator><dc:creator>Fatemi, R</dc:creator><dc:creator>Fazio, S</dc:creator><dc:creator>Feng, Y</dc:creator><dc:creator>Finch, E</dc:creator><dc:creator>Fisyak, Y</dc:creator><dc:creator>Flor, FA</dc:creator><dc:creator>Fu, C</dc:creator><dc:creator>Fu, T</dc:creator><dc:creator>Gao, T</dc:creator><dc:creator>Geurts, F</dc:creator><dc:creator>Gibson, A</dc:creator><dc:creator>Gopal, K</dc:creator><dc:creator>Gou, X</dc:creator><dc:creator>Grosnick, D</dc:creator><dc:creator>Gu, A</dc:creator><dc:creator>Gupta, A</dc:creator><dc:creator>Hamed, A</dc:creator><dc:creator>Hamilton, RJ</dc:creator><dc:creator>Han, X</dc:creator><dc:creator>Harasty, MD</dc:creator><dc:creator>Harris, JW</dc:creator><dc:creator>Harrison-Smith, H</dc:creator><dc:creator>Havener, LB</dc:creator><dc:creator>He, XH</dc:creator><dc:creator>He, Y</dc:creator><dc:creator>Hu, C</dc:creator><dc:creator>Hu, Q</dc:creator><dc:creator>Hu, Y</dc:creator><dc:creator>Huang, H</dc:creator><dc:creator>Huang, HZ</dc:creator><dc:creator>Huang, SL</dc:creator><dc:creator>Huang, T</dc:creator><dc:creator>Huang, Y</dc:creator><dc:creator>Huang, Y</dc:creator><dc:creator>Isshiki, M</dc:creator><dc:creator>Jacobs, WW</dc:creator><dc:date>2025-09-12</dc:date><dc:description>Hard-scattered partons ejected from high-energy proton-proton collisions undergo parton shower and hadronization, resulting in collimated collections of particles that are clustered into jets. A substructure observable that highlights the transition between the perturbative and nonperturbative regimes of jet evolution in terms of the angle between two particles is the two-point energy correlator (EEC). In this Letter, the first measurement of the EEC at RHIC is presented, using data taken from 200&amp;nbsp;GeV p+p collisions by the STAR experiment. The EEC is measured both for all the pairs of particles in jets and separately for pairs with like and opposite electric charges. These measurements demonstrate that the transition between perturbative and nonperturbative effects occurs within an angular region that is consistent with expectations of a universal hadronization regime that scales with jet momentum for a given initiator flavor. Additionally, a deviation from Monte&amp;nbsp;Carlo predictions at small angles in the charge-selected sample could result from mechanics of hadronization not fully captured by current models.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>4902 Mathematical Physics (for-2020)</dc:subject><dc:subject>49 Mathematical Sciences (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>STAR Collaboration</dc:subject><dc:subject>NSD-Relativistic Nuclear Collisions (c-lbnl-label)</dc:subject><dc:subject>01 Mathematical Sciences (for)</dc:subject><dc:subject>02 Physical Sciences (for)</dc:subject><dc:subject>09 Engineering (for)</dc:subject><dc:subject>General Physics (science-metrix)</dc:subject><dc:subject>40 Engineering (for-2020)</dc:subject><dc:subject>49 Mathematical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3cb8d6n7</dc:identifier><dc:identifier>https://escholarship.org/content/qt3cb8d6n7/qt3cb8d6n7.pdf</dc:identifier><dc:identifier>info:doi/10.1103/wv2t-dkgn</dc:identifier><dc:type>article</dc:type><dc:source>Physical Review Letters, vol 135, iss 11</dc:source><dc:coverage>111901</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5jw9k6g1</identifier><datestamp>2026-07-31T09:22:11Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5jw9k6g1</dc:identifier><dc:title>Implications of LHCb measurements and future prospects</dc:title><dc:creator>The LHCb Collaboration</dc:creator><dc:creator>Bharucha, A</dc:creator><dc:creator>Bigi, II</dc:creator><dc:creator>Bobeth, C</dc:creator><dc:creator>Bobrowski, M</dc:creator><dc:creator>Brod, J</dc:creator><dc:creator>Buras, AJ</dc:creator><dc:creator>Davies, CTH</dc:creator><dc:creator>Datta, A</dc:creator><dc:creator>Delaunay, C</dc:creator><dc:creator>Descotes-Genon, S</dc:creator><dc:creator>Ellis, J</dc:creator><dc:creator>Feldmann, T</dc:creator><dc:creator>Fleischer, R</dc:creator><dc:creator>Gedalia, O</dc:creator><dc:creator>Girrbach, J</dc:creator><dc:creator>Guadagnoli, D</dc:creator><dc:creator>Hiller, G</dc:creator><dc:creator>Hochberg, Y</dc:creator><dc:creator>Hurth, T</dc:creator><dc:creator>Isidori, G</dc:creator><dc:creator>Jäger, S</dc:creator><dc:creator>Jung, M</dc:creator><dc:creator>Kagan, A</dc:creator><dc:creator>Kamenik, JF</dc:creator><dc:creator>Lenz, A</dc:creator><dc:creator>Ligeti, Z</dc:creator><dc:creator>London, D</dc:creator><dc:creator>Mahmoudi, F</dc:creator><dc:creator>Matias, J</dc:creator><dc:creator>Nandi, S</dc:creator><dc:creator>Nir, Y</dc:creator><dc:creator>Paradisi, P</dc:creator><dc:creator>Perez, G</dc:creator><dc:creator>Petrov, AA</dc:creator><dc:creator>Rattazzi, R</dc:creator><dc:creator>Sharpe, SR</dc:creator><dc:creator>Silvestrini, L</dc:creator><dc:creator>Soni, A</dc:creator><dc:creator>Straub, DM</dc:creator><dc:creator>van Dyk, D</dc:creator><dc:creator>Virto, J</dc:creator><dc:creator>Wang, Y-M</dc:creator><dc:creator>Weiler, A</dc:creator><dc:creator>Zupan, J</dc:creator><dc:creator>Aaij, R</dc:creator><dc:creator>Abellan Beteta, C</dc:creator><dc:creator>Adametz, A</dc:creator><dc:creator>Adeva, B</dc:creator><dc:creator>Adinolfi, M</dc:creator><dc:creator>Adrover, C</dc:creator><dc:creator>Affolder, A</dc:creator><dc:creator>Ajaltouni, Z</dc:creator><dc:creator>Albrecht, J</dc:creator><dc:creator>Alessio, F</dc:creator><dc:creator>Alexander, M</dc:creator><dc:creator>Ali, S</dc:creator><dc:creator>Alkhazov, G</dc:creator><dc:creator>Alvarez Cartelle, P</dc:creator><dc:creator>Alves, AA</dc:creator><dc:creator>Amato, S</dc:creator><dc:creator>Amhis, Y</dc:creator><dc:creator>Anderlini, L</dc:creator><dc:creator>Anderson, J</dc:creator><dc:creator>Andreassen, R</dc:creator><dc:creator>Anelli, M</dc:creator><dc:creator>Appleby, RB</dc:creator><dc:creator>Aquines Gutierrez, O</dc:creator><dc:creator>Archilli, F</dc:creator><dc:creator>Artamonov, A</dc:creator><dc:creator>Artuso, M</dc:creator><dc:creator>Aslanides, E</dc:creator><dc:creator>Auriemma, G</dc:creator><dc:creator>Bachmann, S</dc:creator><dc:creator>Back, JJ</dc:creator><dc:creator>Baesso, C</dc:creator><dc:creator>Baldini, W</dc:creator><dc:creator>Band, H</dc:creator><dc:creator>Barlow, RJ</dc:creator><dc:creator>Barschel, C</dc:creator><dc:creator>Barsuk, S</dc:creator><dc:creator>Barter, W</dc:creator><dc:creator>Bates, A</dc:creator><dc:creator>Bauer, Th</dc:creator><dc:creator>Bay, A</dc:creator><dc:creator>Beddow, J</dc:creator><dc:creator>Bediaga, I</dc:creator><dc:creator>Beigbeder-Beau, C</dc:creator><dc:creator>Belogurov, S</dc:creator><dc:creator>Belous, K</dc:creator><dc:creator>Belyaev, I</dc:creator><dc:creator>Ben-Haim, E</dc:creator><dc:creator>Benayoun, M</dc:creator><dc:creator>Bencivenni, G</dc:creator><dc:creator>Benson, S</dc:creator><dc:creator>Benton, J</dc:creator><dc:creator>Berezhnoy, A</dc:creator><dc:creator>Bernard, F</dc:creator><dc:creator>Bernet, R</dc:creator><dc:creator>Bettler, M-O</dc:creator><dc:date>2013-04-01</dc:date><dc:description>During 2011 the LHCb experiment at CERN collected 1.0&amp;nbsp;fb−1 of $$\sqrt{s} = 7\mbox{~TeV}$$pp collisions. Due to the large heavy quark production cross-sections, these data provide unprecedented samples of heavy flavoured hadrons. The first results from LHCb have made a significant impact on the flavour physics landscape and have definitively proved the concept of a dedicated experiment in the forward region at a hadron collider. This document discusses the implications of these first measurements on classes of extensions to the Standard Model, bearing in mind the interplay with the results of searches for on-shell production of new particles at ATLAS and CMS. The physics potential of an upgrade to the LHCb detector, which would allow an order of magnitude more data to be collected, is emphasised.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ph</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>0206 Quantum Physics (for)</dc:subject><dc:subject>Nuclear &amp; Particles Physics (science-metrix)</dc:subject><dc:subject>5101 Astronomical sciences (for-2020)</dc:subject><dc:subject>5102 Atomic</dc:subject><dc:subject>molecular and optical physics (for-2020)</dc:subject><dc:subject>5107 Particle and high energy physics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5jw9k6g1</dc:identifier><dc:identifier>https://escholarship.org/content/qt5jw9k6g1/qt5jw9k6g1.pdf</dc:identifier><dc:identifier>info:doi/10.1140/epjc/s10052-013-2373-2</dc:identifier><dc:type>article</dc:type><dc:source>European Physical Journal C, vol 73, iss 4</dc:source><dc:coverage>2373</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt47n7d7mt</identifier><datestamp>2026-07-31T09:22:04Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt47n7d7mt</dc:identifier><dc:title>Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery</dc:title><dc:creator>Falco, Nicola</dc:creator><dc:creator>Wainwright, Haruko M</dc:creator><dc:creator>Dafflon, Baptiste</dc:creator><dc:creator>Ulrich, Craig</dc:creator><dc:creator>Soom, Florian</dc:creator><dc:creator>Peterson, John E</dc:creator><dc:creator>Brown, James Bentley</dc:creator><dc:creator>Schaettle, Karl B</dc:creator><dc:creator>Williamson, Malcolm</dc:creator><dc:creator>Cothren, Jackson D</dc:creator><dc:creator>Ham, Richard G</dc:creator><dc:creator>McEntire, Jay A</dc:creator><dc:creator>Hubbard, Susan S</dc:creator><dc:date>2021-01-01</dc:date><dc:description>Understanding the interactions among agricultural processes, soil, and plants is necessary for optimizing crop yield and productivity. This study focuses on developing effective monitoring and analysis methodologies that estimate key soil and plant properties. These methodologies include data acquisition and processing approaches that use unmanned aerial vehicles (UAVs) and surface geophysical techniques. In particular, we applied these approaches to a soybean farm in Arkansas to characterize the soil–plant coupled spatial and temporal heterogeneity, as well as to identify key environmental factors that influence plant growth and yield. UAV-based&amp;nbsp;multitemporal acquisition of high-resolution RGB (red–green–blue) imagery and direct measurements were used to monitor plant height and photosynthetic activity. We present an algorithm that efficiently exploits the high-resolution UAV images to estimate plant spatial abundance and plant vigor throughout the growing season. Such plant characterization is extremely important for the identification of anomalous areas, providing easily interpretable information that can be used to guide near-real-time farming decisions. Additionally, high-resolution multitemporal surface geophysical measurements of apparent soil electrical conductivity were used to estimate the spatial heterogeneity of soil texture. By integrating the multiscale multitype soil and plant datasets, we identified the spatiotemporal co-variance between soil properties and plant development and yield. Our novel approach for early season monitoring of plant spatial abundance identified areas of low productivity controlled by soil clay content, while temporal analysis of geophysical data showed the impact of soil moisture and irrigation practice (controlled by topography) on plant dynamics. Our study demonstrates the effective coupling of UAV data products with geophysical data to extract critical information for farm management.</dc:description><dc:subject>30 Agricultural</dc:subject><dc:subject>Veterinary and Food Sciences (for-2020)</dc:subject><dc:subject>3004 Crop and Pasture Production (for-2020)</dc:subject><dc:subject>2 Zero Hunger (sdg)</dc:subject><dc:subject>CESD-Sustainable Agriculture (c-lbnl-label)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/47n7d7mt</dc:identifier><dc:identifier>https://escholarship.org/content/qt47n7d7mt/qt47n7d7mt.pdf</dc:identifier><dc:identifier>info:doi/10.1038/s41598-021-86480-z</dc:identifier><dc:type>article</dc:type><dc:source>Scientific Reports, vol 11, iss 1</dc:source><dc:coverage>7046</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7b93501n</identifier><datestamp>2026-07-31T09:18:16Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7b93501n</dc:identifier><dc:title>3D mesh processing using GAMer 2 to enable reaction-diffusion simulations in realistic cellular geometries</dc:title><dc:creator>Lee, Christopher T</dc:creator><dc:creator>Laughlin, Justin G</dc:creator><dc:creator>de La Beaumelle, Nils Angliviel</dc:creator><dc:creator>Amaro, Rommie E</dc:creator><dc:creator>McCammon, J Andrew</dc:creator><dc:creator>Ramamoorthi, Ravi</dc:creator><dc:creator>Holst, Michael</dc:creator><dc:creator>Rangamani, Padmini</dc:creator><dc:contributor>Berry, Hugues</dc:contributor><dc:date>2020-01-01</dc:date><dc:description>Recent advances in electron microscopy have enabled the imaging of single cells in 3D at nanometer length scale resolutions. An uncharted frontier for in silico biology is the ability to simulate cellular processes using these observed geometries. Enabling such simulations requires watertight meshing of electron micrograph images into 3D volume meshes, which can then form the basis of computer simulations of such processes using numerical techniques such as the finite element method. In this paper, we describe the use of our recently rewritten mesh processing software, GAMer 2, to bridge the gap between poorly conditioned meshes generated from segmented micrographs and boundary marked tetrahedral meshes which are compatible with simulation. We demonstrate the application of a workflow using GAMer 2 to a series of electron micrographs of neuronal dendrite morphology explored at three different length scales and show that the resulting meshes are suitable for finite element simulations. This work is an important step towards making physical simulations of biological processes in realistic geometries routine. Innovations in algorithms to reconstruct and simulate cellular length scale phenomena based on emerging structural data will enable realistic physical models and advance discovery at the interface of geometry and cellular processes. We posit that a new frontier at the intersection of computational technologies and single cell biology is now open.</dc:description><dc:subject>46 Information and Computing Sciences (for-2020)</dc:subject><dc:subject>4607 Graphics</dc:subject><dc:subject>Augmented Reality and Games (for-2020)</dc:subject><dc:subject>Bioengineering (rcdc)</dc:subject><dc:subject>Networking and Information Technology R&amp;D (NITRD) (rcdc)</dc:subject><dc:subject>Generic health relevance (hrcs-hc)</dc:subject><dc:subject>Algorithms (mesh)</dc:subject><dc:subject>Computer Simulation (mesh)</dc:subject><dc:subject>Dendrites (mesh)</dc:subject><dc:subject>Diffusion (mesh)</dc:subject><dc:subject>Finite Element Analysis (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Image Processing</dc:subject><dc:subject>Computer-Assisted (mesh)</dc:subject><dc:subject>Imaging</dc:subject><dc:subject>Three-Dimensional (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Biological (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Theoretical (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>Surgical Mesh (mesh)</dc:subject><dc:subject>Dendrites (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Imaging</dc:subject><dc:subject>Three-Dimensional (mesh)</dc:subject><dc:subject>Surgical Mesh (mesh)</dc:subject><dc:subject>Diffusion (mesh)</dc:subject><dc:subject>Algorithms (mesh)</dc:subject><dc:subject>Finite Element Analysis (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Theoretical (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Biological (mesh)</dc:subject><dc:subject>Computer Simulation (mesh)</dc:subject><dc:subject>Image Processing</dc:subject><dc:subject>Computer-Assisted (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>Algorithms (mesh)</dc:subject><dc:subject>Computer Simulation (mesh)</dc:subject><dc:subject>Dendrites (mesh)</dc:subject><dc:subject>Diffusion (mesh)</dc:subject><dc:subject>Finite Element Analysis (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Image Processing</dc:subject><dc:subject>Computer-Assisted (mesh)</dc:subject><dc:subject>Imaging</dc:subject><dc:subject>Three-Dimensional (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Biological (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Theoretical (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>Surgical Mesh (mesh)</dc:subject><dc:subject>q-bio.QM</dc:subject><dc:subject>q-bio.QM</dc:subject><dc:subject>01 Mathematical Sciences (for)</dc:subject><dc:subject>06 Biological Sciences (for)</dc:subject><dc:subject>08 Information and Computing Sciences (for)</dc:subject><dc:subject>Bioinformatics (science-metrix)</dc:subject><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7b93501n</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1371/journal.pcbi.1007756</dc:identifier><dc:type>article</dc:type><dc:source>PLOS Computational Biology, vol 16, iss 4</dc:source><dc:coverage>e1007756</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt74t6f4b7</identifier><datestamp>2026-07-31T09:18:13Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt74t6f4b7</dc:identifier><dc:title>An Open-Source Mesh Generation Platform for Biophysical Modeling Using Realistic Cellular Geometries</dc:title><dc:creator>Lee, Christopher T</dc:creator><dc:creator>Laughlin, Justin G</dc:creator><dc:creator>Moody, John B</dc:creator><dc:creator>Amaro, Rommie E</dc:creator><dc:creator>McCammon, J Andrew</dc:creator><dc:creator>Holst, Michael</dc:creator><dc:creator>Rangamani, Padmini</dc:creator><dc:date>2020-03-01</dc:date><dc:description>Advances in imaging methods such as electron microscopy, tomography, and other modalities are enabling high-resolution reconstructions of cellular and organelle geometries. Such advances pave the way for using these geometries for biophysical and mathematical modeling once these data can be represented as a geometric mesh, which, when carefully conditioned, enables the discretization and solution of partial differential equations. In this work, we outline the steps for a naïve user to approach the Geometry-preserving Adaptive MeshER software version 2, a mesh generation code written in C++ designed to convert structural data sets to realistic geometric meshes while preserving the underlying shapes. We present two example cases: 1) mesh generation at the subcellular scale as informed by electron tomography and 2) meshing a protein with a structure from x-ray crystallography. We further demonstrate that the meshes generated by the Geometry-preserving Adaptive MeshER software are suitable for use with numerical methods. Together, this collection of libraries and tools simplifies the process of constructing realistic geometric meshes from structural biology data.</dc:description><dc:subject>3101 Biochemistry and Cell Biology (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>Bioengineering (rcdc)</dc:subject><dc:subject>Algorithms (mesh)</dc:subject><dc:subject>Biophysics (mesh)</dc:subject><dc:subject>Computer Simulation (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Theoretical (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>Biophysics (mesh)</dc:subject><dc:subject>Algorithms (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Theoretical (mesh)</dc:subject><dc:subject>Computer Simulation (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>Algorithms (mesh)</dc:subject><dc:subject>Biophysics (mesh)</dc:subject><dc:subject>Computer Simulation (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Theoretical (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>02 Physical Sciences (for)</dc:subject><dc:subject>03 Chemical Sciences (for)</dc:subject><dc:subject>06 Biological Sciences (for)</dc:subject><dc:subject>Biophysics (science-metrix)</dc:subject><dc:subject>31 Biological sciences (for-2020)</dc:subject><dc:subject>34 Chemical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/74t6f4b7</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1016/j.bpj.2019.11.3400</dc:identifier><dc:type>article</dc:type><dc:source>Biophysical Journal, vol 118, iss 5</dc:source><dc:coverage>1003 - 1008</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3cg341d5</identifier><datestamp>2026-07-31T09:18:09Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3cg341d5</dc:identifier><dc:title>Improvements to the APBS biomolecular solvation software suite</dc:title><dc:creator>Jurrus, Elizabeth</dc:creator><dc:creator>Engel, Dave</dc:creator><dc:creator>Star, Keith</dc:creator><dc:creator>Monson, Kyle</dc:creator><dc:creator>Brandi, Juan</dc:creator><dc:creator>Felberg, Lisa E</dc:creator><dc:creator>Brookes, David H</dc:creator><dc:creator>Wilson, Leighton</dc:creator><dc:creator>Chen, Jiahui</dc:creator><dc:creator>Liles, Karina</dc:creator><dc:creator>Chun, Minju</dc:creator><dc:creator>Li, Peter</dc:creator><dc:creator>Gohara, David W</dc:creator><dc:creator>Dolinsky, Todd</dc:creator><dc:creator>Konecny, Robert</dc:creator><dc:creator>Koes, David R</dc:creator><dc:creator>Nielsen, Jens Erik</dc:creator><dc:creator>Head‐Gordon, Teresa</dc:creator><dc:creator>Geng, Weihua</dc:creator><dc:creator>Krasny, Robert</dc:creator><dc:creator>Wei, Guo‐Wei</dc:creator><dc:creator>Holst, Michael J</dc:creator><dc:creator>McCammon, J Andrew</dc:creator><dc:creator>Baker, Nathan A</dc:creator><dc:date>2018-01-01</dc:date><dc:description>The Adaptive Poisson-Boltzmann Solver (APBS) software was developed to solve the equations of continuum electrostatics for large biomolecular assemblages that have provided impact in the study of a broad range of chemical, biological, and biomedical applications. APBS addresses the three key technology challenges for understanding solvation and electrostatics in biomedical applications: accurate and efficient models for biomolecular solvation and electrostatics, robust and scalable software for applying those theories to biomolecular systems, and mechanisms for sharing and analyzing biomolecular electrostatics data in the scientific community. To address new research applications and advancing computational capabilities, we have continually updated APBS and its suite of accompanying software since its release in 2001. In this article, we discuss the models and capabilities that have recently been implemented within the APBS software package including a Poisson-Boltzmann analytical and a semi-analytical solver, an optimized boundary element solver, a geometry-based geometric flow solvation model, a graph theory-based algorithm for determining pKa values, and an improved web-based visualization tool for viewing electrostatics.</dc:description><dc:subject>3101 Biochemistry and Cell Biology (for-2020)</dc:subject><dc:subject>3404 Medicinal and Biomolecular Chemistry (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>Networking and Information Technology R&amp;D (NITRD) (rcdc)</dc:subject><dc:subject>Bioengineering (rcdc)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Molecular (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>Static Electricity (mesh)</dc:subject><dc:subject>electrostatics</dc:subject><dc:subject>software</dc:subject><dc:subject>solvation</dc:subject><dc:subject>titration</dc:subject><dc:subject>pK(a)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Molecular (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>Static Electricity (mesh)</dc:subject><dc:subject>electrostatics</dc:subject><dc:subject>pKa</dc:subject><dc:subject>software</dc:subject><dc:subject>solvation</dc:subject><dc:subject>titration</dc:subject><dc:subject>Models</dc:subject><dc:subject>Molecular (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>Static Electricity (mesh)</dc:subject><dc:subject>CSD-16-CPIMS-B (c-lbnl-label)</dc:subject><dc:subject>0601 Biochemistry and Cell Biology (for)</dc:subject><dc:subject>0802 Computation Theory and Mathematics (for)</dc:subject><dc:subject>0899 Other Information and Computing Sciences (for)</dc:subject><dc:subject>Biophysics (science-metrix)</dc:subject><dc:subject>3101 Biochemistry and cell biology (for-2020)</dc:subject><dc:subject>3404 Medicinal and biomolecular chemistry (for-2020)</dc:subject><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3cg341d5</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1002/pro.3280</dc:identifier><dc:type>article</dc:type><dc:source>Protein Science, vol 27, iss 1</dc:source><dc:coverage>112 - 128</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt81p500mr</identifier><datestamp>2026-07-31T09:18:04Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt81p500mr</dc:identifier><dc:title>Numerical Analysis of Ca2+ Signaling in Rat Ventricular Myocytes with Realistic Transverse-Axial Tubular Geometry and Inhibited Sarcoplasmic Reticulum</dc:title><dc:creator>Cheng, Yuhui</dc:creator><dc:creator>Yu, Zeyun</dc:creator><dc:creator>Hoshijima, Masahiko</dc:creator><dc:creator>Holst, Michael J</dc:creator><dc:creator>McCulloch, Andrew D</dc:creator><dc:creator>McCammon, J Andrew</dc:creator><dc:creator>Michailova, Anushka P</dc:creator><dc:contributor>Bassingthwaighte, James</dc:contributor><dc:date>2010-01-01</dc:date><dc:description>The t-tubules of mammalian ventricular myocytes are invaginations of the cell membrane that occur at each Z-line. These invaginations branch within the cell to form a complex network that allows rapid propagation of the electrical signal, and hence synchronous rise of intracellular calcium (Ca(2+)). To investigate how the t-tubule microanatomy and the distribution of membrane Ca(2+) flux affect cardiac excitation-contraction coupling we developed a 3-D continuum model of Ca(2+) signaling, buffering and diffusion in rat ventricular myocytes. The transverse-axial t-tubule geometry was derived from light microscopy structural data. To solve the nonlinear reaction-diffusion system we extended SMOL software tool (http://mccammon.ucsd.edu/smol/). The analysis suggests that the quantitative understanding of the Ca(2+) signaling requires more accurate knowledge of the t-tubule ultra-structure and Ca(2+) flux distribution along the sarcolemma. The results reveal the important role for mobile and stationary Ca(2+) buffers, including the Ca(2+) indicator dye. In agreement with experiment, in the presence of fluorescence dye and inhibited sarcoplasmic reticulum, the lack of detectible differences in the depolarization-evoked Ca(2+) transients was found when the Ca(2+) flux was heterogeneously distributed along the sarcolemma. In the absence of fluorescence dye, strongly non-uniform Ca(2+) signals are predicted. Even at modest elevation of Ca(2+), reached during Ca(2+) influx, large and steep Ca(2+) gradients are found in the narrow sub-sarcolemmal space. The model predicts that the branched t-tubule structure and changes in the normal Ca(2+) flux density along the cell membrane support initiation and propagation of Ca(2+) waves in rat myocytes.</dc:description><dc:subject>3208 Medical Physiology (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>Adenosine Triphosphate (mesh)</dc:subject><dc:subject>Algorithms (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Calcium Signaling (mesh)</dc:subject><dc:subject>Calmodulin (mesh)</dc:subject><dc:subject>Cells</dc:subject><dc:subject>Cultured (mesh)</dc:subject><dc:subject>Computational Biology (mesh)</dc:subject><dc:subject>Computer Simulation (mesh)</dc:subject><dc:subject>Imaging</dc:subject><dc:subject>Three-Dimensional (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Biological (mesh)</dc:subject><dc:subject>Myocytes</dc:subject><dc:subject>Cardiac (mesh)</dc:subject><dc:subject>Rats (mesh)</dc:subject><dc:subject>Sarcoplasmic Reticulum (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>Sarcoplasmic Reticulum (mesh)</dc:subject><dc:subject>Cells</dc:subject><dc:subject>Cultured (mesh)</dc:subject><dc:subject>Myocytes</dc:subject><dc:subject>Cardiac (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Rats (mesh)</dc:subject><dc:subject>Calmodulin (mesh)</dc:subject><dc:subject>Adenosine Triphosphate (mesh)</dc:subject><dc:subject>Imaging</dc:subject><dc:subject>Three-Dimensional (mesh)</dc:subject><dc:subject>Computational Biology (mesh)</dc:subject><dc:subject>Calcium Signaling (mesh)</dc:subject><dc:subject>Algorithms (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Biological (mesh)</dc:subject><dc:subject>Computer Simulation (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>Adenosine Triphosphate (mesh)</dc:subject><dc:subject>Algorithms (mesh)</dc:subject><dc:subject>Animals (mesh)</dc:subject><dc:subject>Calcium Signaling (mesh)</dc:subject><dc:subject>Calmodulin (mesh)</dc:subject><dc:subject>Cells</dc:subject><dc:subject>Cultured (mesh)</dc:subject><dc:subject>Computational Biology (mesh)</dc:subject><dc:subject>Computer Simulation (mesh)</dc:subject><dc:subject>Imaging</dc:subject><dc:subject>Three-Dimensional (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Biological (mesh)</dc:subject><dc:subject>Myocytes</dc:subject><dc:subject>Cardiac (mesh)</dc:subject><dc:subject>Rats (mesh)</dc:subject><dc:subject>Sarcoplasmic Reticulum (mesh)</dc:subject><dc:subject>Software (mesh)</dc:subject><dc:subject>01 Mathematical Sciences (for)</dc:subject><dc:subject>06 Biological Sciences (for)</dc:subject><dc:subject>08 Information and Computing Sciences (for)</dc:subject><dc:subject>Bioinformatics (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/81p500mr</dc:identifier><dc:identifier>https://escholarship.org/content/qt81p500mr/qt81p500mr.pdf</dc:identifier><dc:identifier>info:doi/10.1371/journal.pcbi.1000972</dc:identifier><dc:type>article</dc:type><dc:source>PLOS Computational Biology, vol 6, iss 10</dc:source><dc:coverage>e1000972</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7zg5n0mc</identifier><datestamp>2026-07-31T09:17:56Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7zg5n0mc</dc:identifier><dc:title>Diffusional Channeling in the Sulfate-Activating Complex: Combined Continuum Modeling and Coarse-Grained Brownian Dynamics Studies</dc:title><dc:creator>Cheng, Yuhui</dc:creator><dc:creator>Chang, Chia-en A</dc:creator><dc:creator>Yu, Zeyun</dc:creator><dc:creator>Zhang, Yongjie</dc:creator><dc:creator>Sun, Meihao</dc:creator><dc:creator>Leyh, Thomas S</dc:creator><dc:creator>Holst, Michael J</dc:creator><dc:creator>McCammon, J Andrew</dc:creator><dc:date>2008-11-01</dc:date><dc:description>Enzymes required for sulfur metabolism have been suggested to gain efficiency by restricted diffusion (i.e., channeling) of an intermediate APS(2-) between active sites. This article describes modeling of the whole channeling process by numerical solution of the Smoluchowski diffusion equation, as well as by coarse-grained Brownian dynamics. The results suggest that electrostatics plays an essential role in the APS(2-) channeling. Furthermore, with coarse-grained Brownian dynamics, the substrate channeling process has been studied with reactions in multiple active sites. Our simulations provide a bridge for numerical modeling with Brownian dynamics to simulate the complicated reaction and diffusion and raise important questions relating to the electrostatically mediated substrate channeling in vitro, in situ, and in vivo.</dc:description><dc:subject>3101 Biochemistry and Cell Biology (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>Adenosine Triphosphate (mesh)</dc:subject><dc:subject>Binding Sites (mesh)</dc:subject><dc:subject>Computer Simulation (mesh)</dc:subject><dc:subject>Enzyme Activation (mesh)</dc:subject><dc:subject>Ion Channel Gating (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Chemical (mesh)</dc:subject><dc:subject>Phosphotransferases (Alcohol Group Acceptor) (mesh)</dc:subject><dc:subject>Protein Binding (mesh)</dc:subject><dc:subject>Sulfates (mesh)</dc:subject><dc:subject>Sulfates (mesh)</dc:subject><dc:subject>Phosphotransferases (Alcohol Group Acceptor) (mesh)</dc:subject><dc:subject>Adenosine Triphosphate (mesh)</dc:subject><dc:subject>Ion Channel Gating (mesh)</dc:subject><dc:subject>Binding Sites (mesh)</dc:subject><dc:subject>Enzyme Activation (mesh)</dc:subject><dc:subject>Protein Binding (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Chemical (mesh)</dc:subject><dc:subject>Computer Simulation (mesh)</dc:subject><dc:subject>Adenosine Triphosphate (mesh)</dc:subject><dc:subject>Binding Sites (mesh)</dc:subject><dc:subject>Computer Simulation (mesh)</dc:subject><dc:subject>Enzyme Activation (mesh)</dc:subject><dc:subject>Ion Channel Gating (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Chemical (mesh)</dc:subject><dc:subject>Phosphotransferases (Alcohol Group Acceptor) (mesh)</dc:subject><dc:subject>Protein Binding (mesh)</dc:subject><dc:subject>Sulfates (mesh)</dc:subject><dc:subject>02 Physical Sciences (for)</dc:subject><dc:subject>03 Chemical Sciences (for)</dc:subject><dc:subject>06 Biological Sciences (for)</dc:subject><dc:subject>Biophysics (science-metrix)</dc:subject><dc:subject>31 Biological sciences (for-2020)</dc:subject><dc:subject>34 Chemical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY-NC</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7zg5n0mc</dc:identifier><dc:identifier>https://escholarship.org/content/qt7zg5n0mc/qt7zg5n0mc.pdf</dc:identifier><dc:identifier>info:doi/10.1529/biophysj.108.140038</dc:identifier><dc:type>article</dc:type><dc:source>Biophysical Journal, vol 95, iss 10</dc:source><dc:coverage>4659 - 4667</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5m94b05q</identifier><datestamp>2026-07-31T09:17:51Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5m94b05q</dc:identifier><dc:title>Modeling Effects of L-Type Ca2+ Current and Na+-Ca2+ Exchanger on Ca2+ Trigger Flux in Rabbit Myocytes with Realistic T-Tubule Geometries</dc:title><dc:creator>Kekenes-Huskey, Peter M</dc:creator><dc:creator>Cheng, Yuhui</dc:creator><dc:creator>Hake, Johan E</dc:creator><dc:creator>Sachse, Frank B</dc:creator><dc:creator>Bridge, John H</dc:creator><dc:creator>Holst, Michael J</dc:creator><dc:creator>McCammon, J Andrew</dc:creator><dc:creator>McCulloch, Andrew D</dc:creator><dc:creator>Michailova, Anushka P</dc:creator><dc:date>2012-01-01</dc:date><dc:description>The transverse tubular system of rabbit ventricular myocytes consists of cell membrane invaginations (t-tubules) that are essential for efficient cardiac excitation-contraction coupling. In this study, we investigate how t-tubule micro-anatomy, L-type Ca(2+) channel (LCC) clustering, and allosteric activation of Na(+)/Ca(2+) exchanger by L-type Ca(2+) current affects intracellular Ca(2+) dynamics. Our model includes a realistic 3D geometry of a single t-tubule and its surrounding half-sarcomeres for rabbit ventricular myocytes. The effects of spatially distributed membrane ion-transporters (LCC, Na(+)/Ca(2+) exchanger, sarcolemmal Ca(2+) pump, and sarcolemmal Ca(2+) leak), and stationary and mobile Ca(2+) buffers (troponin C, ATP, calmodulin, and Fluo-3) are also considered. We used a coupled reaction-diffusion system to describe the spatio-temporal concentration profiles of free and buffered intracellular Ca(2+). We obtained parameters from voltage-clamp protocols of L-type Ca(2+) current and line-scan recordings of Ca(2+) concentration profiles in rabbit cells, in which the sarcoplasmic reticulum is disabled. Our model results agree with experimental measurements of global Ca(2+) transient in myocytes loaded with 50 μM Fluo-3. We found that local Ca(2+) concentrations within the cytosol and sub-sarcolemma, as well as the local trigger fluxes of Ca(2+) crossing the cell membrane, are sensitive to details of t-tubule micro-structure and membrane Ca(2+) flux distribution. The model additionally predicts that local Ca(2+) trigger fluxes are at least threefold to eightfold higher than the whole-cell Ca(2+) trigger flux. We found also that the activation of allosteric Ca(2+)-binding sites on the Na(+)/Ca(2+) exchanger could provide a mechanism for regulating global and local Ca(2+) trigger fluxes in vivo. Our studies indicate that improved structural and functional models could improve our understanding of the contributions of L-type and Na(+)/Ca(2+) exchanger fluxes to intracellular Ca(2+) dynamics.</dc:description><dc:subject>3208 Medical Physiology (for-2020)</dc:subject><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>Bioengineering (rcdc)</dc:subject><dc:subject>Heart Disease (rcdc)</dc:subject><dc:subject>Cardiovascular (rcdc)</dc:subject><dc:subject>1.1 Normal biological development and functioning (hrcs-rac)</dc:subject><dc:subject>Ca2+ signaling</dc:subject><dc:subject>L-type Ca2+ channel</dc:subject><dc:subject>Na+/Ca2+ exchanger</dc:subject><dc:subject>channel clustering</dc:subject><dc:subject>allosteric regulation</dc:subject><dc:subject>t-tubule</dc:subject><dc:subject>rabbit ventricular myocyte</dc:subject><dc:subject>Ca2+ signaling</dc:subject><dc:subject>L-type Ca2+ channel</dc:subject><dc:subject>Na+/Ca2+ exchanger</dc:subject><dc:subject>allosteric regulation</dc:subject><dc:subject>channel clustering</dc:subject><dc:subject>rabbit ventricular myocyte</dc:subject><dc:subject>t-tubule</dc:subject><dc:subject>0606 Physiology (for)</dc:subject><dc:subject>1116 Medical Physiology (for)</dc:subject><dc:subject>1701 Psychology (for)</dc:subject><dc:subject>3101 Biochemistry and cell biology (for-2020)</dc:subject><dc:subject>3208 Medical physiology (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5m94b05q</dc:identifier><dc:identifier>https://escholarship.org/content/qt5m94b05q/qt5m94b05q.pdf</dc:identifier><dc:identifier>info:doi/10.3389/fphys.2012.00351</dc:identifier><dc:type>article</dc:type><dc:source>Frontiers in Physiology, vol 3</dc:source><dc:coverage>351</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt99s8j2jk</identifier><datestamp>2026-07-31T09:17:46Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt99s8j2jk</dc:identifier><dc:title>Detecting Glaucoma Progression From Localized Rates of Retinal Changes in Parametric and Nonparametric Statistical Framework With Type I Error ControlDetecting Glaucoma Progression</dc:title><dc:creator>Balasubramanian, Madhusudhanan</dc:creator><dc:creator>Arias-Castro, Ery</dc:creator><dc:creator>Medeiros, Felipe A</dc:creator><dc:creator>Kriegman, David J</dc:creator><dc:creator>Bowd, Christopher</dc:creator><dc:creator>Weinreb, Robert N</dc:creator><dc:creator>Holst, Michael</dc:creator><dc:creator>Sample, Pamela A</dc:creator><dc:creator>Zangwill, Linda M</dc:creator><dc:date>2014-03-19</dc:date><dc:description>PURPOSE: We evaluated three new pixelwise rates of retinal height changes (PixR) strategies to reduce false-positive errors while detecting glaucomatous progression.
METHODS: Diagnostic accuracy of nonparametric PixR-NP cluster test (CT), PixR-NP single threshold test (STT), and parametric PixR-P STT were compared to statistic image mapping (SIM) using the Heidelberg Retina Tomograph. We included 36 progressing eyes, 210 nonprogressing patient eyes, and 21 longitudinal normal eyes from the University of California, San Diego (UCSD) Diagnostic Innovations in Glaucoma Study. Multiple comparison problem due to simultaneous testing of retinal locations was addressed in PixR-NP CT by controlling family-wise error rate (FWER) and in STT methods by Lehmann-Romano's k-FWER. For STT methods, progression was defined as an observed progression rate (ratio of number of pixels with significant rate of decrease; i.e., red-pixels, to disk size) &amp;gt; 2.5%. Progression criterion for CT and SIM methods was presence of one or more significant (P &amp;lt; 1%) red-pixel clusters within disk.
RESULTS: Specificity in normals: CT = 81% (90%), PixR-NP STT = 90%, PixR-P STT = 90%, SIM = 90%. Sensitivity in progressing eyes: CT = 86% (86%), PixR-NP STT = 75%, PixR-P STT = 81%, SIM = 39%. Specificity in nonprogressing patient eyes: CT = 49% (55%), PixR-NP STT = 56%, PixR-P STT = 50%, SIM = 79%. Progression detected by PixR in nonprogressing patient eyes was associated with early signs of visual field change that did not yet meet our definition of glaucomatous progression.
CONCLUSIONS: The PixR provided higher sensitivity in progressing eyes and similar specificity in normals than SIM, suggesting that PixR strategies can improve our ability to detect glaucomatous progression. Longer follow-up is necessary to determine whether nonprogressing eyes identified as progressing by these methods will develop glaucomatous progression. (ClinicalTrials.gov number, NCT00221897).</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3212 Ophthalmology and Optometry (for-2020)</dc:subject><dc:subject>Eye Disease and Disorders of Vision (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Aging (rcdc)</dc:subject><dc:subject>Neurodegenerative (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Eye (hrcs-hc)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Diagnostic Errors (mesh)</dc:subject><dc:subject>Disease Progression (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Follow-Up Studies (mesh)</dc:subject><dc:subject>Glaucoma</dc:subject><dc:subject>Open-Angle (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Intraocular Pressure (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Statistical (mesh)</dc:subject><dc:subject>Ophthalmoscopy (mesh)</dc:subject><dc:subject>Retina (mesh)</dc:subject><dc:subject>Visual Fields (mesh)</dc:subject><dc:subject>glaucoma progression</dc:subject><dc:subject>rate of progression</dc:subject><dc:subject>family-wise type I error</dc:subject><dc:subject>Lehmann-Romano</dc:subject><dc:subject>Bonferroni correction</dc:subject><dc:subject>Retina (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Glaucoma</dc:subject><dc:subject>Open-Angle (mesh)</dc:subject><dc:subject>Disease Progression (mesh)</dc:subject><dc:subject>Diagnostic Errors (mesh)</dc:subject><dc:subject>Ophthalmoscopy (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Statistical (mesh)</dc:subject><dc:subject>Follow-Up Studies (mesh)</dc:subject><dc:subject>Intraocular Pressure (mesh)</dc:subject><dc:subject>Visual Fields (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Bonferroni correction</dc:subject><dc:subject>Lehmann-Romano</dc:subject><dc:subject>family-wise type I error</dc:subject><dc:subject>glaucoma progression</dc:subject><dc:subject>rate of progression</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Diagnostic Errors (mesh)</dc:subject><dc:subject>Disease Progression (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Follow-Up Studies (mesh)</dc:subject><dc:subject>Glaucoma</dc:subject><dc:subject>Open-Angle (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Intraocular Pressure (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Models</dc:subject><dc:subject>Statistical (mesh)</dc:subject><dc:subject>Ophthalmoscopy (mesh)</dc:subject><dc:subject>Retina (mesh)</dc:subject><dc:subject>Visual Fields (mesh)</dc:subject><dc:subject>06 Biological Sciences (for)</dc:subject><dc:subject>11 Medical and Health Sciences (for)</dc:subject><dc:subject>Ophthalmology &amp; Optometry (science-metrix)</dc:subject><dc:subject>3212 Ophthalmology and optometry (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/99s8j2jk</dc:identifier><dc:identifier>https://escholarship.org/content/qt99s8j2jk/qt99s8j2jk.pdf</dc:identifier><dc:identifier>info:doi/10.1167/iovs.13-13246</dc:identifier><dc:type>article</dc:type><dc:source>Investigative Ophthalmology &amp; Visual Science, vol 55, iss 3</dc:source><dc:coverage>1684 - 1695</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt6j58w6s7</identifier><datestamp>2026-07-31T09:17:43Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt6j58w6s7</dc:identifier><dc:title>An Open Source Mesh Generation Platform for Biophysical Modeling Using Realistic Cellular Geometries</dc:title><dc:creator>Lee, Christopher T</dc:creator><dc:creator>Laughlin, Justin G</dc:creator><dc:creator>Moody, John B</dc:creator><dc:creator>Amaro, Rommie E</dc:creator><dc:creator>McCammon, J Andrew</dc:creator><dc:creator>Holst, Michael J</dc:creator><dc:creator>Rangamani, Padmini</dc:creator><dc:date>2019-01-01</dc:date><dc:description>ABSTRACT  Advances in imaging methods such as electron microscopy, tomography, and other modalities are enabling high-resolution reconstructions of cellular and organelle geometries. Such advances pave the way for using these geometries for biophysical and mathematical modeling once these data can be represented as a geometric mesh, which, when carefully conditioned, enables the discretization and solution of partial differential equations. In this study, we outline the steps for a naïve user to approach GAMer 2 , a mesh generation code written in C++ designed to convert structural datasets to realistic geometric meshes, while preserving the underlying shapes. We present two example cases, 1) mesh generation at the subcellular scale as informed by electron tomography, and 2) meshing a protein with structure from x-ray crystallography. We further demonstrate that the meshes generated by GAMer are suitable for use with numerical methods. Together, this collection of libraries and tools simplifies the process of constructing realistic geometric meshes from structural biology data.   SIGNIFICANCE  As biophysical structure determination methods improve, the rate of new structural data is increasing. New methods that allow the interpretation, analysis, and reuse of such structural information will thus take on commensurate importance. In particular, geometric meshes, such as those commonly used in graphics and mathematics, can enable a myriad of mathematical analysis. In this work, we describe GAMer 2 , a mesh generation library designed for biological datasets. Using GAMer 2 and associated tools PyGAMer and BlendGAMer , biologists can robustly generate computer and algorithm friendly geometric mesh representations informed by structural biology data. We expect that GAMer 2 will be a valuable tool to bring realistic geometries to biophysical models.</dc:description><dc:subject>3101 Biochemistry and Cell Biology (for-2020)</dc:subject><dc:subject>46 Information and Computing Sciences (for-2020)</dc:subject><dc:subject>4607 Graphics</dc:subject><dc:subject>Augmented Reality and Games (for-2020)</dc:subject><dc:subject>31 Biological Sciences (for-2020)</dc:subject><dc:subject>Bioengineering (rcdc)</dc:subject><dc:subject>physics.comp-ph</dc:subject><dc:subject>physics.comp-ph</dc:subject><dc:subject>q-bio.QM</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/6j58w6s7</dc:identifier><dc:identifier>https://escholarship.org/content/qt6j58w6s7/qt6j58w6s7.pdf</dc:identifier><dc:identifier>info:doi/10.1101/765453</dc:identifier><dc:type>article</dc:type></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt89z611xd</identifier><datestamp>2026-07-31T09:17:39Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt89z611xd</dc:identifier><dc:title>3D mesh processing using GAMer 2 to enable reaction-diffusion simulations in realistic cellular geometries</dc:title><dc:creator>Lee, Christopher T</dc:creator><dc:creator>Laughlin, Justin G</dc:creator><dc:creator>de La Beaumelle, Nils Angliviel</dc:creator><dc:creator>Amaro, Rommie E</dc:creator><dc:creator>McCammon, J Andrew</dc:creator><dc:creator>Ramamoorthi, Ravi</dc:creator><dc:creator>Holst, Michael J</dc:creator><dc:creator>Rangamani, Padmini</dc:creator><dc:date>2019-01-29</dc:date><dc:description>Abstract  Objective  Recent advances in electron microscopy have, for the first time, enabled imaging of single cells in 3D at a nanometer length scale resolution. An uncharted frontier for in silico biology is the ability to simulate cellular processes using these observed geometries. However, this will require a system for going from EM images to 3D volume meshes which can be used in finite element simulations.    Methods  In this paper, we develop an end-to-end pipeline for this task by adapting and extending computer graphics mesh processing and smoothing algorithms. Our workflow makes use of our recently rewritten mesh processing software, GAMer 2 , which implements several mesh conditioning algorithms and serves as a platform to connect different pipeline steps.    Results We apply this pipeline to a series of electron micrographs of dendrite morphology explored at three different length scales and show that the resultant meshes are suitable for finite element simulations.   Conclusion Our pipeline, which consists of free and open-source community driven tools, is a step towards routine physical simulations of biological processes in realistic geometries.   Significance We posit that a new frontier at the intersection of computational technologies and single cell biology is now open. Innovations in algorithms to reconstruct and simulate cellular length scale phenomena based on emerging structural data will enable realistic physical models and advance discovery.</dc:description><dc:subject>46 Information and Computing Sciences (for-2020)</dc:subject><dc:subject>4607 Graphics</dc:subject><dc:subject>Augmented Reality and Games (for-2020)</dc:subject><dc:subject>Networking and Information Technology R&amp;D (NITRD) (rcdc)</dc:subject><dc:subject>Bioengineering (rcdc)</dc:subject><dc:subject>1.1 Normal biological development and functioning (hrcs-rac)</dc:subject><dc:subject>Generic health relevance (hrcs-hc)</dc:subject><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/89z611xd</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1101/534479</dc:identifier><dc:type>article</dc:type></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4jk9v731</identifier><datestamp>2026-07-31T09:17:35Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4jk9v731</dc:identifier><dc:title>The Implementation of the Colored Abstract Simplicial Complex and Its Application to Mesh Generation</dc:title><dc:creator>Lee, Christopher T</dc:creator><dc:creator>Moody, John B</dc:creator><dc:creator>Amaro, Rommie E</dc:creator><dc:creator>Mccammon, J Andrew</dc:creator><dc:creator>Holst, Michael J</dc:creator><dc:date>2019-09-30</dc:date><dc:description>We introduce CASC: a new, modern, and header-only C++ library which provides a data structure to represent arbitrary dimension abstract simplicial complexes (ASC) with user-defined classes stored directly on the simplices at each dimension. This is accomplished by using the latest C++ language features including variadic template parameters introduced in C++11 and automatic function return type deduction from C++14. Effectively CASC decouples the representation of the topology from the interactions of user data. We present the innovations and design principles of the data structure and related algorithms. This includes a metadata aware decimation algorithm which is general for collapsing simplices of any dimension. We also present an example application of this library to represent an orientable surface mesh.</dc:description><dc:subject>46 Information and Computing Sciences (for-2020)</dc:subject><dc:subject>4607 Graphics</dc:subject><dc:subject>Augmented Reality and Games (for-2020)</dc:subject><dc:subject>Abstract simplicial complexes</dc:subject><dc:subject>molecular modeling</dc:subject><dc:subject>mesh generation</dc:subject><dc:subject>mesh decimation</dc:subject><dc:subject>variadic templates</dc:subject><dc:subject>C plus plus library</dc:subject><dc:subject>Abstract Simplicial Complexes</dc:subject><dc:subject>C++ Library</dc:subject><dc:subject>Mesh Decimation</dc:subject><dc:subject>Mesh Generation</dc:subject><dc:subject>Molecular Modeling</dc:subject><dc:subject>Variadic Templates</dc:subject><dc:subject>0802 Computation Theory and Mathematics (for)</dc:subject><dc:subject>0806 Information Systems (for)</dc:subject><dc:subject>Numerical &amp; Computational Mathematics (science-metrix)</dc:subject><dc:subject>4606 Distributed computing and systems software (for-2020)</dc:subject><dc:subject>4613 Theory of computation (for-2020)</dc:subject><dc:subject>4901 Applied mathematics (for-2020)</dc:subject><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4jk9v731</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1145/3321515</dc:identifier><dc:type>article</dc:type><dc:source>ACM Transactions on Mathematical Software, vol 45, iss 3</dc:source><dc:coverage>1 - 20</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2w30z17d</identifier><datestamp>2026-07-31T09:13:42Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2w30z17d</dc:identifier><dc:title>No clinical utility of KRAS variant rs61764370 for ovarian or breast cancer</dc:title><dc:creator>Ovarian Cancer Association Consortium, Breast Cancer Association Consortium</dc:creator><dc:creator>Hollestelle, Antoinette</dc:creator><dc:creator>van der Baan, Frederieke H</dc:creator><dc:creator>Berchuck, Andrew</dc:creator><dc:creator>Johnatty, Sharon E</dc:creator><dc:creator>Aben, Katja K</dc:creator><dc:creator>Agnarsson, Bjarni A</dc:creator><dc:creator>Aittomäki, Kristiina</dc:creator><dc:creator>Alducci, Elisa</dc:creator><dc:creator>Andrulis, Irene L</dc:creator><dc:creator>Anton-Culver, Hoda</dc:creator><dc:creator>Antonenkova, Natalia N</dc:creator><dc:creator>Antoniou, Antonis C</dc:creator><dc:creator>Apicella, Carmel</dc:creator><dc:creator>Arndt, Volker</dc:creator><dc:creator>Arnold, Norbert</dc:creator><dc:creator>Arun, Banu K</dc:creator><dc:creator>Arver, Brita</dc:creator><dc:creator>Ashworth, Alan</dc:creator><dc:creator>Group, Australian Ovarian Cancer Study</dc:creator><dc:creator>Baglietto, Laura</dc:creator><dc:creator>Balleine, Rosemary</dc:creator><dc:creator>Bandera, Elisa V</dc:creator><dc:creator>Barrowdale, Daniel</dc:creator><dc:creator>Bean, Yukie T</dc:creator><dc:creator>Beckmann, Lars</dc:creator><dc:creator>Beckmann, Matthias W</dc:creator><dc:creator>Benitez, Javier</dc:creator><dc:creator>Berger, Andreas</dc:creator><dc:creator>Berger, Raanan</dc:creator><dc:creator>Beuselinck, Benoit</dc:creator><dc:creator>Bisogna, Maria</dc:creator><dc:creator>Bjorge, Line</dc:creator><dc:creator>Blomqvist, Carl</dc:creator><dc:creator>Bogdanova, Natalia V</dc:creator><dc:creator>Bojesen, Anders</dc:creator><dc:creator>Bojesen, Stig E</dc:creator><dc:creator>Bolla, Manjeet K</dc:creator><dc:creator>Bonanni, Bernardo</dc:creator><dc:creator>Brand, Judith S</dc:creator><dc:creator>Brauch, Hiltrud</dc:creator><dc:creator>Register, Breast Cancer Family</dc:creator><dc:creator>Brenner, Hermann</dc:creator><dc:creator>Brinton, Louise</dc:creator><dc:creator>Brooks-Wilson, Angela</dc:creator><dc:creator>Bruinsma, Fiona</dc:creator><dc:creator>Brunet, Joan</dc:creator><dc:creator>Brüning, Thomas</dc:creator><dc:creator>Budzilowska, Agnieszka</dc:creator><dc:creator>Bunker, Clareann H</dc:creator><dc:creator>Burwinkel, Barbara</dc:creator><dc:creator>Butzow, Ralf</dc:creator><dc:creator>Buys, Saundra S</dc:creator><dc:creator>Caligo, Maria A</dc:creator><dc:creator>Campbell, Ian</dc:creator><dc:creator>Carter, Jonathan</dc:creator><dc:creator>Chang-Claude, Jenny</dc:creator><dc:creator>Chanock, Stephen J</dc:creator><dc:creator>Claes, Kathleen BM</dc:creator><dc:creator>Collée, J Margriet</dc:creator><dc:creator>Cook, Linda S</dc:creator><dc:creator>Couch, Fergus J</dc:creator><dc:creator>Cox, Angela</dc:creator><dc:creator>Cramer, Daniel</dc:creator><dc:creator>Cross, Simon S</dc:creator><dc:creator>Cunningham, Julie M</dc:creator><dc:creator>Cybulski, Cezary</dc:creator><dc:creator>Czene, Kamila</dc:creator><dc:creator>Damiola, Francesca</dc:creator><dc:creator>Dansonka-Mieszkowska, Agnieszka</dc:creator><dc:creator>Darabi, Hatef</dc:creator><dc:creator>de la Hoya, Miguel</dc:creator><dc:creator>deFazio, Anna</dc:creator><dc:creator>Dennis, Joseph</dc:creator><dc:creator>Devilee, Peter</dc:creator><dc:creator>Dicks, Ed M</dc:creator><dc:creator>Diez, Orland</dc:creator><dc:creator>Doherty, Jennifer A</dc:creator><dc:creator>Domchek, Susan M</dc:creator><dc:creator>Dorfling, Cecilia M</dc:creator><dc:creator>Dörk, Thilo</dc:creator><dc:creator>Dos Santos Silva, Isabel</dc:creator><dc:creator>du Bois, Andreas</dc:creator><dc:creator>Dumont, Martine</dc:creator><dc:creator>Dunning, Alison M</dc:creator><dc:creator>Duran, Mercedes</dc:creator><dc:creator>Easton, Douglas F</dc:creator><dc:creator>Eccles, Diana</dc:creator><dc:creator>Edwards, Robert P</dc:creator><dc:creator>Ehrencrona, Hans</dc:creator><dc:creator>Ejlertsen, Bent</dc:creator><dc:creator>Ekici, Arif B</dc:creator><dc:creator>Ellis, Steve D</dc:creator><dc:creator>EMBRACE</dc:creator><dc:creator>Engel, Christoph</dc:creator><dc:creator>Eriksson, Mikael</dc:creator><dc:creator>Fasching, Peter A</dc:creator><dc:creator>Feliubadalo, Lidia</dc:creator><dc:creator>Figueroa, Jonine</dc:creator><dc:creator>Flesch-Janys, Dieter</dc:creator><dc:date>2016-05-01</dc:date><dc:description>OBJECTIVE: Clinical genetic testing is commercially available for rs61764370, an inherited variant residing in a KRAS 3' UTR microRNA binding site, based on suggested associations with increased ovarian and breast cancer risk as well as with survival time. However, prior studies, emphasizing particular subgroups, were relatively small. Therefore, we comprehensively evaluated ovarian and breast cancer risks as well as clinical outcome associated with rs61764370.
METHODS: Centralized genotyping and analysis were performed for 140,012 women enrolled in the Ovarian Cancer Association Consortium (15,357 ovarian cancer patients; 30,816 controls), the Breast Cancer Association Consortium (33,530 breast cancer patients; 37,640 controls), and the Consortium of Modifiers of BRCA1 and BRCA2 (14,765 BRCA1 and 7904 BRCA2 mutation carriers).
RESULTS: We found no association with risk of ovarian cancer (OR=0.99, 95% CI 0.94-1.04, p=0.74) or breast cancer (OR=0.98, 95% CI 0.94-1.01, p=0.19) and results were consistent among mutation carriers (BRCA1, ovarian cancer HR=1.09, 95% CI 0.97-1.23, p=0.14, breast cancer HR=1.04, 95% CI 0.97-1.12, p=0.27; BRCA2, ovarian cancer HR=0.89, 95% CI 0.71-1.13, p=0.34, breast cancer HR=1.06, 95% CI 0.94-1.19, p=0.35). Null results were also obtained for associations with overall survival following ovarian cancer (HR=0.94, 95% CI 0.83-1.07, p=0.38), breast cancer (HR=0.96, 95% CI 0.87-1.06, p=0.38), and all other previously-reported associations.
CONCLUSIONS: rs61764370 is not associated with risk of ovarian or breast cancer nor with clinical outcome for patients with these cancers. Therefore, genotyping this variant has no clinical utility related to the prediction or management of these cancers.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3211 Oncology and Carcinogenesis (for-2020)</dc:subject><dc:subject>Ovarian Cancer (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Breast Cancer (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Cancer (rcdc)</dc:subject><dc:subject>Genetic Testing (rcdc)</dc:subject><dc:subject>Rare Diseases (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Human Genome (rcdc)</dc:subject><dc:subject>Genetics (rcdc)</dc:subject><dc:subject>Clinical Trials and Supportive Activities (rcdc)</dc:subject><dc:subject>2.1 Biological and endogenous factors (hrcs-rac)</dc:subject><dc:subject>Cancer (hrcs-hc)</dc:subject><dc:subject>Breast Neoplasms (mesh)</dc:subject><dc:subject>Carcinoma</dc:subject><dc:subject>Ovarian Epithelial (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Neoplasms</dc:subject><dc:subject>Glandular and Epithelial (mesh)</dc:subject><dc:subject>Ovarian Neoplasms (mesh)</dc:subject><dc:subject>Proto-Oncogene Proteins p21(ras) (mesh)</dc:subject><dc:subject>KRAS variant</dc:subject><dc:subject>Breast cancer</dc:subject><dc:subject>Ovarian cancer</dc:subject><dc:subject>Genetic association</dc:subject><dc:subject>Clinical outcome</dc:subject><dc:subject>Ovarian Cancer Association Consortium</dc:subject><dc:subject>Breast Cancer Association Consortium</dc:subject><dc:subject>and Consortium of Modifiers of BRCA1 and BRCA2</dc:subject><dc:subject>Australian Ovarian Cancer Study Group</dc:subject><dc:subject>Breast Cancer Family Register</dc:subject><dc:subject>EMBRACE</dc:subject><dc:subject>GEMO Study Collaborators</dc:subject><dc:subject>GENICA Network</dc:subject><dc:subject>HEBON</dc:subject><dc:subject>KConFab Investigators</dc:subject><dc:subject>SWE-BRCA</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Neoplasms</dc:subject><dc:subject>Glandular and Epithelial (mesh)</dc:subject><dc:subject>Breast Neoplasms (mesh)</dc:subject><dc:subject>Ovarian Neoplasms (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Proto-Oncogene Proteins p21(ras) (mesh)</dc:subject><dc:subject>Carcinoma</dc:subject><dc:subject>Ovarian Epithelial (mesh)</dc:subject><dc:subject>Breast cancer</dc:subject><dc:subject>Clinical outcome</dc:subject><dc:subject>Genetic association</dc:subject><dc:subject>KRAS variant</dc:subject><dc:subject>Ovarian cancer</dc:subject><dc:subject>Breast Neoplasms (mesh)</dc:subject><dc:subject>Carcinoma</dc:subject><dc:subject>Ovarian Epithelial (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Neoplasms</dc:subject><dc:subject>Glandular and Epithelial (mesh)</dc:subject><dc:subject>Ovarian Neoplasms (mesh)</dc:subject><dc:subject>Proto-Oncogene Proteins p21(ras) (mesh)</dc:subject><dc:subject>1112 Oncology and Carcinogenesis (for)</dc:subject><dc:subject>1114 Paediatrics and Reproductive Medicine (for)</dc:subject><dc:subject>Oncology &amp; Carcinogenesis (science-metrix)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:subject>3211 Oncology and carcinogenesis (for-2020)</dc:subject><dc:subject>3215 Reproductive medicine (for-2020)</dc:subject><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2w30z17d</dc:identifier><dc:identifier/><dc:identifier>info:doi/10.1016/j.ygyno.2015.04.034</dc:identifier><dc:type>article</dc:type><dc:source>Gynecologic Oncology, vol 141, iss 2</dc:source><dc:coverage>386 - 401</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7q73h033</identifier><datestamp>2026-07-31T09:13:17Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7q73h033</dc:identifier><dc:title>Chemotherapy response and recurrence-free survival in neoadjuvant breast cancer depends on biomarker profiles: results from the I-SPY 1 TRIAL (CALGB 150007/150012; ACRIN 6657)</dc:title><dc:creator>Esserman, Laura J</dc:creator><dc:creator>Berry, Donald A</dc:creator><dc:creator>Cheang, Maggie CU</dc:creator><dc:creator>Yau, Christina</dc:creator><dc:creator>Perou, Charles M</dc:creator><dc:creator>Carey, Lisa</dc:creator><dc:creator>DeMichele, Angela</dc:creator><dc:creator>Gray, Joe W</dc:creator><dc:creator>Conway-Dorsey, Kathleen</dc:creator><dc:creator>Lenburg, Marc E</dc:creator><dc:creator>Buxton, Meredith B</dc:creator><dc:creator>Davis, Sarah E</dc:creator><dc:creator>van’t  Veer, Laura J</dc:creator><dc:creator>Hudis, Clifford</dc:creator><dc:creator>Chin, Koei</dc:creator><dc:creator>Wolf, Denise</dc:creator><dc:creator>Krontiras, Helen</dc:creator><dc:creator>Montgomery, Leslie</dc:creator><dc:creator>Tripathy, Debu</dc:creator><dc:creator>Lehman, Constance</dc:creator><dc:creator>Liu, Minetta C</dc:creator><dc:creator>Olopade, Olufunmilayo I</dc:creator><dc:creator>Rugo, Hope S</dc:creator><dc:creator>Carpenter, John T</dc:creator><dc:creator>Livasy, Chad</dc:creator><dc:creator>Dressler, Lynn</dc:creator><dc:creator>Chhieng, David</dc:creator><dc:creator>Singh, Baljit</dc:creator><dc:creator>Mies, Carolyn</dc:creator><dc:creator>Rabban, Joseph</dc:creator><dc:creator>Chen, Yunni-Yi</dc:creator><dc:creator>Giri, Dilip</dc:creator><dc:creator>Au, Alfred</dc:creator><dc:creator>Hylton, Nola</dc:creator><dc:creator>The I-SPY 1 TRIAL Investigators</dc:creator><dc:date>2012-04-01</dc:date><dc:description>Neoadjuvant chemotherapy for breast cancer allows individual tumor response to be assessed depending on molecular subtype, and to judge the impact of response to therapy on recurrence-free survival (RFS). The multicenter I-SPY 1 TRIAL evaluated patients with ≥3&amp;nbsp;cm tumors by using early imaging and molecular signatures, with outcomes of pathologic complete response (pCR) and RFS. The current analysis was performed using data from patients who had molecular profiles and did not receive trastuzumab. The various molecular classifiers tested were highly correlated. Categorization of breast cancer by molecular signatures enhanced the ability of pCR to predict improvement in RFS compared to the population as a whole. In multivariate analysis, the molecular signatures that added to the ability of HR and HER2 receptors, clinical stage, and pCR in predicting RFS included 70-gene signature, wound healing signature, p53 mutation signature, and PAM50 risk of recurrence. The low risk signatures were associated with significantly better prognosis, and also identified additional patients with a good prognosis within the no pCR group, primarily in the hormone receptor positive, HER-2 negative subgroup. The I-SPY 1 population is enriched for tumors with a poor prognosis but is still heterogeneous in terms of rates of pCR and RFS. The ability of pCR to predict RFS is better by subset than it is for the whole group. Molecular markers improve prediction of RFS by identifying additional patients with excellent prognosis within the no pCR group.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3211 Oncology and Carcinogenesis (for-2020)</dc:subject><dc:subject>Biomedical Imaging (rcdc)</dc:subject><dc:subject>Women's Health (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Cancer (rcdc)</dc:subject><dc:subject>Genetics (rcdc)</dc:subject><dc:subject>Precision Medicine (rcdc)</dc:subject><dc:subject>Human Genome (rcdc)</dc:subject><dc:subject>Breast Cancer (rcdc)</dc:subject><dc:subject>Cancer Genomics (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>4.2 Evaluation of markers and technologies (hrcs-rac)</dc:subject><dc:subject>4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac)</dc:subject><dc:subject>Cancer (hrcs-hc)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Anthracyclines (mesh)</dc:subject><dc:subject>Antibodies</dc:subject><dc:subject>Monoclonal</dc:subject><dc:subject>Humanized (mesh)</dc:subject><dc:subject>Antineoplastic Combined Chemotherapy Protocols (mesh)</dc:subject><dc:subject>Biomarkers</dc:subject><dc:subject>Tumor (mesh)</dc:subject><dc:subject>Breast Neoplasms (mesh)</dc:subject><dc:subject>Clinical Trials as Topic (mesh)</dc:subject><dc:subject>Disease-Free Survival (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Gene Expression Profiling (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Kaplan-Meier Estimate (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Multicenter Studies as Topic (mesh)</dc:subject><dc:subject>Multivariate Analysis (mesh)</dc:subject><dc:subject>Neoadjuvant Therapy (mesh)</dc:subject><dc:subject>Neoplasm Recurrence</dc:subject><dc:subject>Local (mesh)</dc:subject><dc:subject>Neoplasm</dc:subject><dc:subject>Residual (mesh)</dc:subject><dc:subject>Proportional Hazards Models (mesh)</dc:subject><dc:subject>Receptors</dc:subject><dc:subject>Steroid (mesh)</dc:subject><dc:subject>Taxoids (mesh)</dc:subject><dc:subject>Trastuzumab (mesh)</dc:subject><dc:subject>Breast cancer</dc:subject><dc:subject>Neoadjuvant chemotherapy</dc:subject><dc:subject>Molecular biomarkers</dc:subject><dc:subject>Pathologic complete response</dc:subject><dc:subject>I-SPY 1 TRIAL Investigators</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Breast Neoplasms (mesh)</dc:subject><dc:subject>Neoplasm Recurrence</dc:subject><dc:subject>Local (mesh)</dc:subject><dc:subject>Neoplasm</dc:subject><dc:subject>Residual (mesh)</dc:subject><dc:subject>Taxoids (mesh)</dc:subject><dc:subject>Anthracyclines (mesh)</dc:subject><dc:subject>Receptors</dc:subject><dc:subject>Steroid (mesh)</dc:subject><dc:subject>Antineoplastic Combined Chemotherapy Protocols (mesh)</dc:subject><dc:subject>Disease-Free Survival (mesh)</dc:subject><dc:subject>Neoadjuvant Therapy (mesh)</dc:subject><dc:subject>Multivariate Analysis (mesh)</dc:subject><dc:subject>Proportional Hazards Models (mesh)</dc:subject><dc:subject>Gene Expression Profiling (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Clinical Trials as Topic (mesh)</dc:subject><dc:subject>Multicenter Studies as Topic (mesh)</dc:subject><dc:subject>Kaplan-Meier Estimate (mesh)</dc:subject><dc:subject>Antibodies</dc:subject><dc:subject>Monoclonal</dc:subject><dc:subject>Humanized (mesh)</dc:subject><dc:subject>Biomarkers</dc:subject><dc:subject>Tumor (mesh)</dc:subject><dc:subject>Trastuzumab (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Anthracyclines (mesh)</dc:subject><dc:subject>Antibodies</dc:subject><dc:subject>Monoclonal</dc:subject><dc:subject>Humanized (mesh)</dc:subject><dc:subject>Antineoplastic Combined Chemotherapy Protocols (mesh)</dc:subject><dc:subject>Biomarkers</dc:subject><dc:subject>Tumor (mesh)</dc:subject><dc:subject>Breast Neoplasms (mesh)</dc:subject><dc:subject>Clinical Trials as Topic (mesh)</dc:subject><dc:subject>Disease-Free Survival (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Gene Expression Profiling (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Kaplan-Meier Estimate (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Multicenter Studies as Topic (mesh)</dc:subject><dc:subject>Multivariate Analysis (mesh)</dc:subject><dc:subject>Neoadjuvant Therapy (mesh)</dc:subject><dc:subject>Neoplasm Recurrence</dc:subject><dc:subject>Local (mesh)</dc:subject><dc:subject>Neoplasm</dc:subject><dc:subject>Residual (mesh)</dc:subject><dc:subject>Proportional Hazards Models (mesh)</dc:subject><dc:subject>Receptors</dc:subject><dc:subject>Steroid (mesh)</dc:subject><dc:subject>Taxoids (mesh)</dc:subject><dc:subject>Trastuzumab (mesh)</dc:subject><dc:subject>1103 Clinical Sciences (for)</dc:subject><dc:subject>1112 Oncology and Carcinogenesis (for)</dc:subject><dc:subject>Oncology &amp; Carcinogenesis (science-metrix)</dc:subject><dc:subject>3202 Clinical sciences (for-2020)</dc:subject><dc:subject>3211 Oncology and carcinogenesis (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY-NC</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7q73h033</dc:identifier><dc:identifier>https://escholarship.org/content/qt7q73h033/qt7q73h033.pdf</dc:identifier><dc:identifier>info:doi/10.1007/s10549-011-1895-2</dc:identifier><dc:type>article</dc:type><dc:source>Breast Cancer Research and Treatment, vol 132, iss 3</dc:source><dc:coverage>1049 - 1062</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt53z8m52b</identifier><datestamp>2026-07-31T09:11:59Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt53z8m52b</dc:identifier><dc:title>CSF biomarkers associated with disease heterogeneity in early Parkinson’s disease: the Parkinson’s Progression Markers Initiative study</dc:title><dc:creator>Kang, Ju-Hee</dc:creator><dc:creator>Mollenhauer, Brit</dc:creator><dc:creator>Coffey, Christopher S</dc:creator><dc:creator>Toledo, Jon B</dc:creator><dc:creator>Weintraub, Daniel</dc:creator><dc:creator>Galasko, Douglas R</dc:creator><dc:creator>Irwin, David J</dc:creator><dc:creator>Van Deerlin, Vivianna</dc:creator><dc:creator>Chen-Plotkin, Alice S</dc:creator><dc:creator>Caspell-Garcia, Chelsea</dc:creator><dc:creator>Waligórska, Teresa</dc:creator><dc:creator>Taylor, Peggy</dc:creator><dc:creator>Shah, Nirali</dc:creator><dc:creator>Pan, Sarah</dc:creator><dc:creator>Zero, Pawel</dc:creator><dc:creator>Frasier, Mark</dc:creator><dc:creator>Marek, Kenneth</dc:creator><dc:creator>Kieburtz, Karl</dc:creator><dc:creator>Jennings, Danna</dc:creator><dc:creator>Tanner, Caroline M</dc:creator><dc:creator>Simuni, Tanya</dc:creator><dc:creator>Singleton, Andrew</dc:creator><dc:creator>Toga, Arthur W</dc:creator><dc:creator>Chowdhury, Sohini</dc:creator><dc:creator>Trojanowski, John Q</dc:creator><dc:creator>Shaw, Leslie M</dc:creator><dc:creator>The Parkinson’s Progression Marker Initiative</dc:creator><dc:date>2016-06-01</dc:date><dc:description>The development of biomarkers to predict the progression of Parkinson’s disease (PD) from its earliest stage through its heterogeneous course is critical for research and therapeutic development. The Parkinson’s Progression Markers Initiative (PPMI) study is an ongoing international multicenter, prospective study to validate biomarkers in drug-naïve PD patients and matched healthy controls (HC). We quantified cerebrospinal fluid (CSF) alpha-synuclein (α-syn), amyloid-beta1-42 (Aβ1-42), total tau (t-tau), and tau phosphorylated at Thr181 (p-tau) in 660 PPMI subjects at baseline, and correlated these data with measures of the clinical features of these subjects. We found that CSF α-syn, t-tau and p-tau levels, but not Aβ1-42, were significantly lower in PD compared with HC, while the diagnostic value of the individual CSF biomarkers for PD diagnosis was limited due to large overlap. The level of α-syn, but not other biomarkers, was significantly lower in PD patients with non-tremor-dominant phenotype compared with tremor-dominant phenotype. In addition, in PD patients the lowest Aβ1-42, or highest t-tau/Aβ1-42 and t-tau/α-syn quintile in PD patients were associated with more severe non-motor dysfunction compared with the highest or lowest quintiles, respectively. In a multivariate regression model, lower α-syn was significantly associated with worse cognitive test performance. APOE ε4 genotype was associated with lower levels of Aβ1-42, but neither with PD diagnosis nor cognition. Our data suggest that the measurement of CSF biomarkers in early-stage PD patients may relate to disease heterogeneity seen in PD. Longitudinal observations in PPMI subjects are needed to define their prognostic performance.</dc:description><dc:subject>32 Biomedical and Clinical Sciences (for-2020)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:subject>Neurodegenerative (rcdc)</dc:subject><dc:subject>Neurosciences (rcdc)</dc:subject><dc:subject>Dementia (rcdc)</dc:subject><dc:subject>Clinical Research (rcdc)</dc:subject><dc:subject>Brain Disorders (rcdc)</dc:subject><dc:subject>Acquired Cognitive Impairment (rcdc)</dc:subject><dc:subject>Prevention (rcdc)</dc:subject><dc:subject>Parkinson's Disease (rcdc)</dc:subject><dc:subject>Aging (rcdc)</dc:subject><dc:subject>2.1 Biological and endogenous factors (hrcs-rac)</dc:subject><dc:subject>4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac)</dc:subject><dc:subject>4.2 Evaluation of markers and technologies (hrcs-rac)</dc:subject><dc:subject>Neurological (hrcs-hc)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Aged</dc:subject><dc:subject>80 and over (mesh)</dc:subject><dc:subject>Amyloid beta-Peptides (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Cognition Disorders (mesh)</dc:subject><dc:subject>Disease Progression (mesh)</dc:subject><dc:subject>Early Diagnosis (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Parkinson Disease (mesh)</dc:subject><dc:subject>Peptide Fragments (mesh)</dc:subject><dc:subject>Phenotype (mesh)</dc:subject><dc:subject>Prospective Studies (mesh)</dc:subject><dc:subject>Parkinson's disease</dc:subject><dc:subject>Cerebrospinal fluid biomarker</dc:subject><dc:subject>Parkinson's Progression Markers Initiative</dc:subject><dc:subject>A beta(1-42)</dc:subject><dc:subject>Tau</dc:subject><dc:subject>Alpha-synuclein</dc:subject><dc:subject>Parkinson’s Progression Marker Initiative</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Parkinson Disease (mesh)</dc:subject><dc:subject>Disease Progression (mesh)</dc:subject><dc:subject>Peptide Fragments (mesh)</dc:subject><dc:subject>Early Diagnosis (mesh)</dc:subject><dc:subject>Prospective Studies (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Cognition Disorders (mesh)</dc:subject><dc:subject>Phenotype (mesh)</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Aged</dc:subject><dc:subject>80 and over (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Amyloid beta-Peptides (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Alpha-synuclein</dc:subject><dc:subject>Aβ1-42</dc:subject><dc:subject>Cerebrospinal fluid biomarker</dc:subject><dc:subject>Parkinson’s Progression Markers Initiative</dc:subject><dc:subject>Parkinson’s disease</dc:subject><dc:subject>Tau</dc:subject><dc:subject>Adult (mesh)</dc:subject><dc:subject>Aged (mesh)</dc:subject><dc:subject>Aged</dc:subject><dc:subject>80 and over (mesh)</dc:subject><dc:subject>Amyloid beta-Peptides (mesh)</dc:subject><dc:subject>Biomarkers (mesh)</dc:subject><dc:subject>Cognition (mesh)</dc:subject><dc:subject>Cognition Disorders (mesh)</dc:subject><dc:subject>Disease Progression (mesh)</dc:subject><dc:subject>Early Diagnosis (mesh)</dc:subject><dc:subject>Female (mesh)</dc:subject><dc:subject>Humans (mesh)</dc:subject><dc:subject>Male (mesh)</dc:subject><dc:subject>Middle Aged (mesh)</dc:subject><dc:subject>Parkinson Disease (mesh)</dc:subject><dc:subject>Peptide Fragments (mesh)</dc:subject><dc:subject>Phenotype (mesh)</dc:subject><dc:subject>Prospective Studies (mesh)</dc:subject><dc:subject>1103 Clinical Sciences (for)</dc:subject><dc:subject>1109 Neurosciences (for)</dc:subject><dc:subject>Neurology &amp; Neurosurgery (science-metrix)</dc:subject><dc:subject>3209 Neurosciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/53z8m52b</dc:identifier><dc:identifier>https://escholarship.org/content/qt53z8m52b/qt53z8m52b.pdf</dc:identifier><dc:identifier>info:doi/10.1007/s00401-016-1552-2</dc:identifier><dc:type>article</dc:type><dc:source>Acta Neuropathologica, vol 131, iss 6</dc:source><dc:coverage>935 - 949</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt39s6s91d</identifier><datestamp>2026-07-31T09:08:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt39s6s91d</dc:identifier><dc:title>Activating magnetite ores for aqueous ironmaking at high current densities</dc:title><dc:creator>Shekhar, Raj</dc:creator><dc:creator>Cecil, James A</dc:creator><dc:creator>Goldman, Andrew C</dc:creator><dc:creator>Rahman, Evandi</dc:creator><dc:creator>Moutarlier, Louka J</dc:creator><dc:creator>Khaliq, Faiqa</dc:creator><dc:creator>Davenport, Audrey</dc:creator><dc:creator>Boettcher, Shannon</dc:creator><dc:creator>Kempler, Paul Andrew</dc:creator><dc:date>2026-01-01</dc:date><dc:description>Low-temperature electrochemical cells reducing iron oxides to metal in alkaline electrolytes can support fully electrified steelmaking processes. Previous studies on these cells have primarily focused on high-surface-area hematite, Fe 2 O 3 , reactants... 
 Low-temperature electrochemical cells reducing iron oxides to metal in alkaline electrolytes can support fully electrified steelmaking processes. Previous studies on these cells have primarily focused on high-surface-area hematite, Fe 2 O 3 , reactants whereas attempts to reduce suspensions of magnetite, Fe 3 O 4 —one of the two feedstocks for existing ironmaking reactors—have generally been limited to low rates of reaction (&amp;lt;30 mA cm -2 ). Here, we control the crystalline domain size of Fe 2 O 3 and Fe 3 O 4 particles in 10 M NaOH electrolytes to study how the nanoscale morphology of oxides controls the rate of electrochemical ironmaking. Rotating-ring disk electrode measurements of Fe 2+ , in-situ Raman spectroscopy of the electrode surface, and ex–situ electron microscopy were consistent with a hypothesized passivation process at Fe 3 O 4 surfaces that may prevent the continuous formation of soluble intermediates. Sufficiently small (&amp;lt;100 nm diameter) oxide particles yielded Fe partial current densities &amp;gt; 160 mA cm -2 , a fivefold increase relative to previously reported rates for Fe 3 O 4 suspensions and comparable to active Fe 2 O 3 . Electron microscopy revealed that electrodeposited films were composed of micron-scale crystalline Fe domains with a porous film of Fe 3 O 4 nanoparticles and supports a model where Fe is grown primarily from soluble Fe 2+ intermediates. Based on these insights, inactive blast-furnace-grade iron-oxides were transformed into high surface area nanoparticles (1.6 to 229.2 m 2 g -1 ) via reprecipitation, leading to a ninefold enhancement in faradaic efficiency and an Fe partial current density of 120 mA cm -2 . When integrated with chlor-iron cells producing reagents for reprecipitation, this approach could lead to a cost-competitive process for electrochemical ironmaking from industrially relevant feedstocks.</dc:description><dc:subject>40 Engineering (for-2020)</dc:subject><dc:subject>4016 Materials Engineering (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:subject>3406 Physical Chemistry (for-2020)</dc:subject><dc:subject>Nanotechnology (rcdc)</dc:subject><dc:subject>Bioengineering (rcdc)</dc:subject><dc:subject>Energy (science-metrix)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/39s6s91d</dc:identifier><dc:identifier>https://escholarship.org/content/qt39s6s91d/qt39s6s91d.pdf</dc:identifier><dc:identifier>info:doi/10.1039/d6ee01056c</dc:identifier><dc:type>article</dc:type><dc:source>Energy &amp; Environmental Science</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt7891b2vg</identifier><datestamp>2026-07-31T09:07:55Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt7891b2vg</dc:identifier><dc:title>Structure of iridium oxide catalysts dictates performance differences for proton exchange membrane water electrolyzers</dc:title><dc:creator>Kwon, Obeen</dc:creator><dc:creator>Shibata, Masao Suzuki</dc:creator><dc:creator>Hamlyn, Rebecca</dc:creator><dc:creator>Oh, Juhyun</dc:creator><dc:creator>Lang, Jack T</dc:creator><dc:creator>Wang, Cliffton Ray</dc:creator><dc:creator>Boettcher, Shannon W</dc:creator><dc:creator>Korzeniewski, Carol</dc:creator><dc:creator>Crumlin, Ethan J</dc:creator><dc:creator>Zachman, Michael J</dc:creator><dc:creator>Morimoto, Yu</dc:creator><dc:creator>Zenyuk, Iryna V</dc:creator><dc:date>2026-01-22</dc:date><dc:description>A systematic catalyst loading study reveals the higher catalytic activity of amorphous iridium oxide arises from bulk participation via suggested electrochemical descriptors, while identifying loading-independent intrinsic electrochemical properties. 
 Proton exchange membrane water electrolyzers (PEMWEs) are promising zero-emission technologies. However, their high cost remains a barrier to widespread adoption. Iridium oxide is commonly used as an oxygen evolution reaction (OER) catalyst, and its cost and scarcity make it essential to reduce its loading while increasing its activity. Evaluation of iridium oxide activity should be carried out in the membrane electrode assembly (MEA) configuration to replicate realistic operating conditions. Herein, we present a comprehensive benchmarking framework to accurately evaluate the amorphous and crystalline iridium oxides at the MEA level. By systematically varying the catalyst loading, this study confirmed that each MEA was utilized uniformly, presenting intrinsic electrochemical properties independent of the loading. Through intrinsic charge density determined by voltammetry, we established two electrochemical descriptors to evaluate catalyst redox reactions. The mass activity was evaluated by correlating current vs. loading, and the slope provides loading-independent mass activity. The effect of the porous transport layer on OER activity was discussed, identifying a ‘background’ current at zero-loading. This study highlights potential pitfalls in MEA-level catalyst screening and underscores the importance of the loading study for reliable results.</dc:description><dc:subject>0303 Macromolecular and Materials Chemistry (for)</dc:subject><dc:subject>0912 Materials Engineering (for)</dc:subject><dc:subject>0915 Interdisciplinary Engineering (for)</dc:subject><dc:subject>3403 Macromolecular and materials chemistry (for-2020)</dc:subject><dc:subject>4004 Chemical engineering (for-2020)</dc:subject><dc:subject>4016 Materials engineering (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/7891b2vg</dc:identifier><dc:identifier>https://escholarship.org/content/qt7891b2vg/qt7891b2vg.pdf</dc:identifier><dc:identifier>info:doi/10.1039/d5ta08192k</dc:identifier><dc:type>article</dc:type><dc:source>Journal of Materials Chemistry A, vol 14, iss 6</dc:source><dc:coverage>3342 - 3353</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt34w5k3hx</identifier><datestamp>2026-07-31T09:07:43Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt34w5k3hx</dc:identifier><dc:title>Correction to “Anions in Corrosion: Influence of Polymer Electrolytes on the Interfacial Ion Transfer Kinetics of Cu at Au(111) Surfaces”</dc:title><dc:creator>Thurman, Kira A</dc:creator><dc:creator>Cannan, Caitlyn C</dc:creator><dc:creator>Shekhar, Raj</dc:creator><dc:creator>Zhao, Yang</dc:creator><dc:creator>Boettcher, Shannon W</dc:creator><dc:creator>Kempler, Paul A</dc:creator><dc:date>2025-09-04</dc:date><dc:subject>3403 Macromolecular and Materials Chemistry (for-2020)</dc:subject><dc:subject>40 Engineering (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/34w5k3hx</dc:identifier><dc:identifier>https://escholarship.org/content/qt34w5k3hx/qt34w5k3hx.pdf</dc:identifier><dc:identifier>info:doi/10.1021/acselectrochem.5c00298</dc:identifier><dc:type>article</dc:type><dc:source>ACS Electrochemistry, vol 1, iss 9</dc:source><dc:coverage>1884 - 1884</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0zh3q9gs</identifier><datestamp>2026-07-31T09:07:31Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0zh3q9gs</dc:identifier><dc:title>Anions in Corrosion: Influence of Polymer Electrolytes on the Interfacial Ion Transfer Kinetics of Cu at Au(111) Surfaces</dc:title><dc:creator>Thurman, Kira A</dc:creator><dc:creator>Cannan, Caitlyn M</dc:creator><dc:creator>Shekhar, Raj</dc:creator><dc:creator>Zhao, Yang</dc:creator><dc:creator>Boettcher, Shannon W</dc:creator><dc:creator>Kempler, Paul A</dc:creator><dc:date>2025-04-03</dc:date><dc:description>The corrosion kinetics of metals in the presence of polymer electrolyteswhich are frequently used in devices for the electrochemical production of hydrogen, hydrocarbons, and alcoholsis convoluted by transport and ill-defined reactive interfaces that mask the fundamental reaction kinetics. Underpotential-deposited monolayers of Cu at Au(111) surfaces provide a structurally well-defined active site for interfacial ion transfer with a fixed number of sites available for adsorption. Here, we investigate the adsorption behavior of Cu at Au(111) surfaces across a series of sulfate and sulfonate electrolytes to understand how anion structure influences the kinetics of elementary interfacial ion-transfer reactions. The influence of anion structure is most significant at high adsorbate coverage, with similar adsorption isotherms and kinetics observed for sulfates and two molecular sulfonates. In contrast, a suspended perfluorosulfonic acid ionomer reduced both the equilibrium coverage of Cu and the standard exchange rate at Au(111) at low coverages of Cu. These results suggest that electrocatalyst corrosion is inhibited for metal nanoparticles supported at polymer electrolytes due to changes in adsorbate coverage, as well as suppressed kinetics for interfacial ion transfer.</dc:description><dc:subject>3403 Macromolecular and Materials Chemistry (for-2020)</dc:subject><dc:subject>40 Engineering (for-2020)</dc:subject><dc:subject>34 Chemical Sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0zh3q9gs</dc:identifier><dc:identifier>https://escholarship.org/content/qt0zh3q9gs/qt0zh3q9gs.pdf</dc:identifier><dc:identifier>info:doi/10.1021/acselectrochem.4c00181</dc:identifier><dc:type>article</dc:type><dc:source>ACS Electrochemistry, vol 1, iss 4</dc:source><dc:coverage>425 - 432</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9ng999qt</identifier><datestamp>2026-07-31T08:55:14Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9ng999qt</dc:identifier><dc:title>Measurement of the Higgs boson mass and width using the four-lepton final state in proton-proton collisions at s=13 TeV</dc:title><dc:creator>Hayrapetyan, A</dc:creator><dc:creator>Tumasyan, A</dc:creator><dc:creator>Adam, W</dc:creator><dc:creator>Andrejkovic, JW</dc:creator><dc:creator>Bergauer, T</dc:creator><dc:creator>Chatterjee, S</dc:creator><dc:creator>Damanakis, K</dc:creator><dc:creator>Dragicevic, M</dc:creator><dc:creator>Hussain, PS</dc:creator><dc:creator>Jeitler, M</dc:creator><dc:creator>Krammer, N</dc:creator><dc:creator>Li, A</dc:creator><dc:creator>Liko, D</dc:creator><dc:creator>Mikulec, I</dc:creator><dc:creator>Schieck, J</dc:creator><dc:creator>Schöfbeck, R</dc:creator><dc:creator>Schwarz, D</dc:creator><dc:creator>Sonawane, M</dc:creator><dc:creator>Templ, S</dc:creator><dc:creator>Waltenberger, W</dc:creator><dc:creator>Wulz, C-E</dc:creator><dc:creator>Darwish, MR</dc:creator><dc:creator>Janssen, T</dc:creator><dc:creator>Van Laer, T</dc:creator><dc:creator>Van Mechelen, P</dc:creator><dc:creator>Breugelmans, N</dc:creator><dc:creator>D’Hondt, J</dc:creator><dc:creator>Dansana, S</dc:creator><dc:creator>De Moor, A</dc:creator><dc:creator>Delcourt, M</dc:creator><dc:creator>Heyen, F</dc:creator><dc:creator>Lowette, S</dc:creator><dc:creator>Makarenko, I</dc:creator><dc:creator>Müller, D</dc:creator><dc:creator>Tavernier, S</dc:creator><dc:creator>Tytgat, M</dc:creator><dc:creator>Van Onsem, GP</dc:creator><dc:creator>Van Putte, S</dc:creator><dc:creator>Vannerom, D</dc:creator><dc:creator>Bilin, B</dc:creator><dc:creator>Clerbaux, B</dc:creator><dc:creator>Das, AK</dc:creator><dc:creator>De Lentdecker, G</dc:creator><dc:creator>Evard, H</dc:creator><dc:creator>Favart, L</dc:creator><dc:creator>Gianneios, P</dc:creator><dc:creator>Jaramillo, J</dc:creator><dc:creator>Khalilzadeh, A</dc:creator><dc:creator>Khan, FA</dc:creator><dc:creator>Lee, K</dc:creator><dc:creator>Mahdavikhorrami, M</dc:creator><dc:creator>Malara, A</dc:creator><dc:creator>Paredes, S</dc:creator><dc:creator>Shahzad, MA</dc:creator><dc:creator>Thomas, L</dc:creator><dc:creator>Bemden, M Vanden</dc:creator><dc:creator>Vander Velde, C</dc:creator><dc:creator>Vanlaer, P</dc:creator><dc:creator>De Coen, M</dc:creator><dc:creator>Dobur, D</dc:creator><dc:creator>Gokbulut, G</dc:creator><dc:creator>Hong, Y</dc:creator><dc:creator>Knolle, J</dc:creator><dc:creator>Lambrecht, L</dc:creator><dc:creator>Marckx, D</dc:creator><dc:creator>Amarilo, K Mota</dc:creator><dc:creator>Samalan, A</dc:creator><dc:creator>Skovpen, K</dc:creator><dc:creator>Van Den Bossche, N</dc:creator><dc:creator>van der Linden, J</dc:creator><dc:creator>Wezenbeek, L</dc:creator><dc:creator>Benecke, A</dc:creator><dc:creator>Bethani, A</dc:creator><dc:creator>Bruno, G</dc:creator><dc:creator>Caputo, C</dc:creator><dc:creator>De Jeneret, J De Favereau</dc:creator><dc:creator>Delaere, C</dc:creator><dc:creator>Donertas, IS</dc:creator><dc:creator>Giammanco, A</dc:creator><dc:creator>Guzel, AO</dc:creator><dc:creator>Jain</dc:creator><dc:creator>Lemaitre, V</dc:creator><dc:creator>Lidrych, J</dc:creator><dc:creator>Mastrapasqua, P</dc:creator><dc:creator>Tran, TT</dc:creator><dc:creator>Wertz, S</dc:creator><dc:creator>Alves, GA</dc:creator><dc:creator>Pereira, M Alves Gallo</dc:creator><dc:creator>Coelho, E</dc:creator><dc:creator>Silva, G Correia</dc:creator><dc:creator>Hensel, C</dc:creator><dc:creator>De Oliveira, T Menezes</dc:creator><dc:creator>Herrera, C Mora</dc:creator><dc:creator>Moraes, A</dc:creator><dc:creator>Teles, P Rebello</dc:creator><dc:creator>Soeiro, M</dc:creator><dc:creator>Pereira, A Vilela</dc:creator><dc:creator>Júnior, WL Aldá</dc:creator><dc:creator>Filho, M Barroso Ferreira</dc:creator><dc:creator>Malbouisson, H Brandao</dc:creator><dc:date>2025-05-01</dc:date><dc:description>A measurement of the Higgs boson mass and width via its decay to two  bosons is presented. Proton-proton collision data collected by the CMS experiment, corresponding to an integrated luminosity of  at a center-of-mass energy of 13&amp;nbsp;TeV, is used. The invariant mass distribution of four leptons in the on-shell Higgs boson decay is used to measure its mass and constrain its width. This yields the most precise single measurement of the Higgs boson mass to date,  , and an upper limit on the width  at 95%&amp;nbsp;confidence level. A combination of the on- and off-shell Higgs boson production decaying to four leptons is used to determine the Higgs boson width, assuming that no new virtual particles affect the production, a premise that is tested by adding new heavy particles in the gluon fusion loop model. This result is combined with a previous CMS analysis of the off-shell Higgs boson production with decay to two leptons and two neutrinos, giving a measured Higgs boson width of  , in agreement with the standard model prediction of 4.1&amp;nbsp;MeV. The strength of the off-shell Higgs boson production is also reported. The scenario of no off-shell Higgs boson production is excluded at a confidence level corresponding to 3.8 standard deviations.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>CC-BY</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9ng999qt</dc:identifier><dc:identifier>https://escholarship.org/content/qt9ng999qt/qt9ng999qt.pdf</dc:identifier><dc:identifier>info:doi/10.1103/physrevd.111.092014</dc:identifier><dc:type>article</dc:type><dc:source>Physical Review D, vol 111, iss 9</dc:source><dc:coverage>092014</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0wx2q72c</identifier><datestamp>2026-07-31T08:50:15Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0wx2q72c</dc:identifier><dc:title>Combinations of single-top-quark production cross-section measurements and |fLVVtb| determinations at s = 7 and 8 TeV with the ATLAS and CMS experiments</dc:title><dc:creator>Aaboud, M</dc:creator><dc:creator>Aad, G</dc:creator><dc:creator>Abbott, B</dc:creator><dc:creator>Abbott, DC</dc:creator><dc:creator>Abdinov, O</dc:creator><dc:creator>Abed Abud, A</dc:creator><dc:creator>Abhayasinghe, DK</dc:creator><dc:creator>Abidi, SH</dc:creator><dc:creator>AbouZeid, OS</dc:creator><dc:creator>Abraham, NL</dc:creator><dc:creator>Abramowicz, H</dc:creator><dc:creator>Abreu, H</dc:creator><dc:creator>Abulaiti, Y</dc:creator><dc:creator>Acharya, BS</dc:creator><dc:creator>Adachi, S</dc:creator><dc:creator>Adam, L</dc:creator><dc:creator>Adamczyk, L</dc:creator><dc:creator>Adamek, L</dc:creator><dc:creator>Adelman, J</dc:creator><dc:creator>Adersberger, M</dc:creator><dc:creator>Adiguzel, A</dc:creator><dc:creator>Adorni, S</dc:creator><dc:creator>Adye, T</dc:creator><dc:creator>Affolder, AA</dc:creator><dc:creator>Afik, Y</dc:creator><dc:creator>Agapopoulou, C</dc:creator><dc:creator>Agaras, MN</dc:creator><dc:creator>Aggarwal, A</dc:creator><dc:creator>Agheorghiesei, C</dc:creator><dc:creator>Aguilar-Saavedra, JA</dc:creator><dc:creator>Ahmadov, F</dc:creator><dc:creator>Ai, X</dc:creator><dc:creator>Aielli, G</dc:creator><dc:creator>Akatsuka, S</dc:creator><dc:creator>Åkesson, TPA</dc:creator><dc:creator>Akilli, E</dc:creator><dc:creator>Akimov, AV</dc:creator><dc:creator>Al Khoury, K</dc:creator><dc:creator>Alberghi, GL</dc:creator><dc:creator>Albert, J</dc:creator><dc:creator>Alconada Verzini, MJ</dc:creator><dc:creator>Alderweireldt, S</dc:creator><dc:creator>Aleksa, M</dc:creator><dc:creator>Aleksandrov, IN</dc:creator><dc:creator>Alexa, C</dc:creator><dc:creator>Alexandre, D</dc:creator><dc:creator>Alexopoulos, T</dc:creator><dc:creator>Alfonsi, A</dc:creator><dc:creator>Alhroob, M</dc:creator><dc:creator>Ali, B</dc:creator><dc:creator>Alimonti, G</dc:creator><dc:creator>Alison, J</dc:creator><dc:creator>Alkire, SP</dc:creator><dc:creator>Allaire, C</dc:creator><dc:creator>Allbrooke, BMM</dc:creator><dc:creator>Allen, BW</dc:creator><dc:creator>Allport, PP</dc:creator><dc:creator>Aloisio, A</dc:creator><dc:creator>Alonso, A</dc:creator><dc:creator>Alonso, F</dc:creator><dc:creator>Alpigiani, C</dc:creator><dc:creator>Alshehri, AA</dc:creator><dc:creator>Alstaty, MI</dc:creator><dc:creator>Alvarez Estevez, M</dc:creator><dc:creator>Alvarez Gonzalez, B</dc:creator><dc:creator>Álvarez Piqueras, D</dc:creator><dc:creator>Alviggi, MG</dc:creator><dc:creator>Amaral Coutinho, Y</dc:creator><dc:creator>Ambler, A</dc:creator><dc:creator>Ambroz, L</dc:creator><dc:creator>Amelung, C</dc:creator><dc:creator>Amidei, D</dc:creator><dc:creator>Amor Dos Santos, SP</dc:creator><dc:creator>Amoroso, S</dc:creator><dc:creator>Amrouche, CS</dc:creator><dc:creator>An, F</dc:creator><dc:creator>Anastopoulos, C</dc:creator><dc:creator>Andari, N</dc:creator><dc:creator>Andeen, T</dc:creator><dc:creator>Anders, CF</dc:creator><dc:creator>Anders, JK</dc:creator><dc:creator>Andreazza, A</dc:creator><dc:creator>Andrei, V</dc:creator><dc:creator>Anelli, CR</dc:creator><dc:creator>Angelidakis, S</dc:creator><dc:creator>Angelozzi, I</dc:creator><dc:creator>Angerami, A</dc:creator><dc:creator>Anisenkov, AV</dc:creator><dc:creator>Annovi, A</dc:creator><dc:creator>Antel, C</dc:creator><dc:creator>Anthony, MT</dc:creator><dc:creator>Antonelli, M</dc:creator><dc:creator>Antrim, DJA</dc:creator><dc:creator>Anulli, F</dc:creator><dc:creator>Aoki, M</dc:creator><dc:creator>Aparisi Pozo, JA</dc:creator><dc:creator>Aperio Bella, L</dc:creator><dc:creator>Arabidze, G</dc:creator><dc:creator>Araque, JP</dc:creator><dc:creator>Araujo Ferraz, V</dc:creator><dc:date>2019-05-01</dc:date><dc:description>This paper presents the combinations of single-top-quark production cross-section measurements by the ATLAS and CMS Collaborations, using data from LHC proton-proton collisions at s$$ \sqrt{s} $$ = 7 and 8 TeV corresponding to integrated luminosities of 1.17 to 5.1 fb−1 at s$$ \sqrt{s} $$ = 7 TeV and 12.2 to 20.3 fb−1 at s$$ \sqrt{s} $$ = 8 TeV. These combinations are performed per centre-of-mass energy and for each production mode: t-channel, tW, and s-channel. The combined t-channel cross-sections are 67.5 ± 5.7 pb and 87.7 ± 5.8 pb at s$$ \sqrt{s} $$ = 7 and 8 TeV respectively. The combined tW cross-sections are 16.3 ± 4.1 pb and 23.1 ± 3.6 pb at s$$ \sqrt{s} $$ = 7 and 8 TeV respectively. For the s-channel cross-section, the combination yields 4.9 ± 1.4 pb at s$$ \sqrt{s} $$ = 8 TeV. The square of the magnitude of the CKM matrix element Vtb multiplied by a form factor fLV is determined for each production mode and centre-of-mass energy, using the ratio of the measured cross-section to its theoretical prediction. It is assumed that the top-quark-related CKM matrix elements obey the relation |Vtd|, |Vts| ≪ |Vtb|. All the |fLVVtb|2 determinations, extracted from individual ratios at s$$ \sqrt{s} $$ = 7 and 8 TeV, are combined, resulting in |fLVVtb| = 1.02 ± 0.04 (meas.) ± 0.02 (theo.). All combined measurements are consistent with their corresponding Standard Model predictions.</dc:description><dc:subject>Hadron-Hadron scattering (experiments)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>0105 Mathematical Physics (for)</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>0206 Quantum Physics (for)</dc:subject><dc:subject>Nuclear &amp; Particles Physics (science-metrix)</dc:subject><dc:subject>4902 Mathematical physics (for-2020)</dc:subject><dc:subject>5106 Nuclear and plasma physics (for-2020)</dc:subject><dc:subject>5107 Particle and high energy physics (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0wx2q72c</dc:identifier><dc:identifier>https://escholarship.org/content/qt0wx2q72c/qt0wx2q72c.pdf</dc:identifier><dc:identifier>info:doi/10.1007/jhep05(2019)088</dc:identifier><dc:type>article</dc:type><dc:source>Journal of High Energy Physics, vol 2019, iss 5</dc:source><dc:coverage>88</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5bj0b64b</identifier><datestamp>2026-07-31T08:49:43Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5bj0b64b</dc:identifier><dc:title>Measurement of the top quark Yukawa coupling from tt¯ kinematic distributions in the lepton+jets final state in proton-proton collisions at s=13 TeV</dc:title><dc:creator>Sirunyan, AM</dc:creator><dc:creator>Tumasyan, A</dc:creator><dc:creator>Adam, W</dc:creator><dc:creator>Ambrogi, F</dc:creator><dc:creator>Bergauer, T</dc:creator><dc:creator>Brandstetter, J</dc:creator><dc:creator>Dragicevic, M</dc:creator><dc:creator>Erö, J</dc:creator><dc:creator>Del Valle, A Escalante</dc:creator><dc:creator>Flechl, M</dc:creator><dc:creator>Frühwirth, R</dc:creator><dc:creator>Jeitler, M</dc:creator><dc:creator>Krammer, N</dc:creator><dc:creator>Krätschmer, I</dc:creator><dc:creator>Liko, D</dc:creator><dc:creator>Madlener, T</dc:creator><dc:creator>Mikulec, I</dc:creator><dc:creator>Rad, N</dc:creator><dc:creator>Schieck, J</dc:creator><dc:creator>Schöfbeck, R</dc:creator><dc:creator>Spanring, M</dc:creator><dc:creator>Spitzbart, D</dc:creator><dc:creator>Waltenberger, W</dc:creator><dc:creator>Wittmann, J</dc:creator><dc:creator>Wulz, C-E</dc:creator><dc:creator>Zarucki, M</dc:creator><dc:creator>Drugakov, V</dc:creator><dc:creator>Mossolov, V</dc:creator><dc:creator>Gonzalez, J Suarez</dc:creator><dc:creator>Darwish, MR</dc:creator><dc:creator>De Wolf, EA</dc:creator><dc:creator>Di Croce, D</dc:creator><dc:creator>Janssen, X</dc:creator><dc:creator>Lauwers, J</dc:creator><dc:creator>Lelek, A</dc:creator><dc:creator>Pieters, M</dc:creator><dc:creator>Sfar, H Rejeb</dc:creator><dc:creator>Van Haevermaet, H</dc:creator><dc:creator>Van Mechelen, P</dc:creator><dc:creator>Van Putte, S</dc:creator><dc:creator>Van Remortel, N</dc:creator><dc:creator>Blekman, F</dc:creator><dc:creator>Bols, ES</dc:creator><dc:creator>Chhibra, SS</dc:creator><dc:creator>D’Hondt, J</dc:creator><dc:creator>De Clercq, J</dc:creator><dc:creator>Lontkovskyi, D</dc:creator><dc:creator>Lowette, S</dc:creator><dc:creator>Marchesini, I</dc:creator><dc:creator>Moortgat, S</dc:creator><dc:creator>Moreels, L</dc:creator><dc:creator>Python, Q</dc:creator><dc:creator>Skovpen, K</dc:creator><dc:creator>Tavernier, S</dc:creator><dc:creator>Van Doninck, W</dc:creator><dc:creator>Van Mulders, P</dc:creator><dc:creator>Van Parijs, I</dc:creator><dc:creator>Beghin, D</dc:creator><dc:creator>Bilin, B</dc:creator><dc:creator>Brun, H</dc:creator><dc:creator>Clerbaux, B</dc:creator><dc:creator>De Lentdecker, G</dc:creator><dc:creator>Delannoy, H</dc:creator><dc:creator>Dorney, B</dc:creator><dc:creator>Favart, L</dc:creator><dc:creator>Grebenyuk, A</dc:creator><dc:creator>Kalsi, AK</dc:creator><dc:creator>Luetic, J</dc:creator><dc:creator>Popov, A</dc:creator><dc:creator>Postiau, N</dc:creator><dc:creator>Starling, E</dc:creator><dc:creator>Thomas, L</dc:creator><dc:creator>Vander Velde, C</dc:creator><dc:creator>Vanlaer, P</dc:creator><dc:creator>Vannerom, D</dc:creator><dc:creator>Wang, Q</dc:creator><dc:creator>Cornelis, T</dc:creator><dc:creator>Dobur, D</dc:creator><dc:creator>Khvastunov, I</dc:creator><dc:creator>Roskas, C</dc:creator><dc:creator>Trocino, D</dc:creator><dc:creator>Tytgat, M</dc:creator><dc:creator>Verbeke, W</dc:creator><dc:creator>Vermassen, B</dc:creator><dc:creator>Vit, M</dc:creator><dc:creator>Zaganidis, N</dc:creator><dc:creator>Bondu, O</dc:creator><dc:creator>Bruno, G</dc:creator><dc:creator>Caputo, C</dc:creator><dc:creator>David, P</dc:creator><dc:creator>Delaere, C</dc:creator><dc:creator>Delcourt, M</dc:creator><dc:creator>Giammanco, A</dc:creator><dc:creator>Lemaitre, V</dc:creator><dc:creator>Magitteri, A</dc:creator><dc:creator>Prisciandaro, J</dc:creator><dc:creator>Saggio, A</dc:creator><dc:creator>Marono, M Vidal</dc:creator><dc:creator>Vischia, P</dc:creator><dc:creator>Zobec, J</dc:creator><dc:date>2019-10-01</dc:date><dc:description>Results are presented for an extraction of the top quark Yukawa coupling from top quark-antiquark (tt¯) kinematic distributions in the lepton plus jets final state in proton-proton collisions, based on data collected by the CMS experiment at the LHC at s=13 TeV, corresponding to an integrated luminosity of 35.8 fb-1. Corrections from weak boson exchange, including Higgs bosons, between the top quarks can produce large distortions of differential distributions near the energy threshold of tt¯ production. Therefore, precise measurements of these distributions are sensitive to the Yukawa coupling. Top quark events are reconstructed with at least three jets in the final state, and a novel technique is introduced to reconstruct the tt¯ system for events with one missing jet. This technique enhances the experimental sensitivity in the low invariant mass region, Mtt¯. The data yields in Mtt¯, the rapidity difference |yt-yt¯|, and the number of reconstructed jets are compared with distributions representing different Yukawa couplings. These comparisons are used to measure the ratio of the top quark Yukawa coupling to its standard model predicted value to be 1.07-0.43+0.34 with an upper limit of 1.67 at the 95% confidence level.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5bj0b64b</dc:identifier><dc:identifier>https://escholarship.org/content/qt5bj0b64b/qt5bj0b64b.pdf</dc:identifier><dc:identifier>info:doi/10.1103/physrevd.100.072007</dc:identifier><dc:type>article</dc:type><dc:source>Physical Review D, vol 100, iss 7</dc:source><dc:coverage>072007</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9jq3p80r</identifier><datestamp>2026-07-31T08:49:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9jq3p80r</dc:identifier><dc:title>Measurement of the differential dijet production cross section in proton–proton collisions at s=7 TeV</dc:title><dc:creator>Chatrchyan, S</dc:creator><dc:creator>Khachatryan, V</dc:creator><dc:creator>Sirunyan, AM</dc:creator><dc:creator>Tumasyan, A</dc:creator><dc:creator>Adam, W</dc:creator><dc:creator>Bergauer, T</dc:creator><dc:creator>Dragicevic, M</dc:creator><dc:creator>Erö, J</dc:creator><dc:creator>Fabjan, C</dc:creator><dc:creator>Friedl, M</dc:creator><dc:creator>Frühwirth, R</dc:creator><dc:creator>Ghete, VM</dc:creator><dc:creator>Hammer, J</dc:creator><dc:creator>Hänsel, S</dc:creator><dc:creator>Hoch, M</dc:creator><dc:creator>Hörmann, N</dc:creator><dc:creator>Hrubec, J</dc:creator><dc:creator>Jeitler, M</dc:creator><dc:creator>Kasieczka, G</dc:creator><dc:creator>Kiesenhofer, W</dc:creator><dc:creator>Krammer, M</dc:creator><dc:creator>Liko, D</dc:creator><dc:creator>Mikulec, I</dc:creator><dc:creator>Pernicka, M</dc:creator><dc:creator>Rohringer, H</dc:creator><dc:creator>Schöfbeck, R</dc:creator><dc:creator>Strauss, J</dc:creator><dc:creator>Teischinger, F</dc:creator><dc:creator>Wagner, P</dc:creator><dc:creator>Waltenberger, W</dc:creator><dc:creator>Walzel, G</dc:creator><dc:creator>Widl, E</dc:creator><dc:creator>Wulz, C-E</dc:creator><dc:creator>Mossolov, V</dc:creator><dc:creator>Shumeiko, N</dc:creator><dc:creator>Gonzalez, J Suarez</dc:creator><dc:creator>Benucci, L</dc:creator><dc:creator>De Wolf, EA</dc:creator><dc:creator>Janssen, X</dc:creator><dc:creator>Maes, T</dc:creator><dc:creator>Mucibello, L</dc:creator><dc:creator>Ochesanu, S</dc:creator><dc:creator>Roland, B</dc:creator><dc:creator>Rougny, R</dc:creator><dc:creator>Selvaggi, M</dc:creator><dc:creator>Van Haevermaet, H</dc:creator><dc:creator>Van Mechelen, P</dc:creator><dc:creator>Van Remortel, N</dc:creator><dc:creator>Blekman, F</dc:creator><dc:creator>Blyweert, S</dc:creator><dc:creator>DʼHondt, J</dc:creator><dc:creator>Devroede, O</dc:creator><dc:creator>Suarez, R Gonzalez</dc:creator><dc:creator>Kalogeropoulos, A</dc:creator><dc:creator>Maes, J</dc:creator><dc:creator>Maes, M</dc:creator><dc:creator>Van Doninck, W</dc:creator><dc:creator>Van Mulders, P</dc:creator><dc:creator>Van Onsem, GP</dc:creator><dc:creator>Villella, I</dc:creator><dc:creator>Charaf, O</dc:creator><dc:creator>Clerbaux, B</dc:creator><dc:creator>De Lentdecker, G</dc:creator><dc:creator>Dero, V</dc:creator><dc:creator>Gay, APR</dc:creator><dc:creator>Hammad, GH</dc:creator><dc:creator>Hreus, T</dc:creator><dc:creator>Marage, PE</dc:creator><dc:creator>Thomas, L</dc:creator><dc:creator>Vander Velde, C</dc:creator><dc:creator>Vanlaer, P</dc:creator><dc:creator>Adler, V</dc:creator><dc:creator>Cimmino, A</dc:creator><dc:creator>Costantini, S</dc:creator><dc:creator>Grunewald, M</dc:creator><dc:creator>Klein, B</dc:creator><dc:creator>Lellouch, J</dc:creator><dc:creator>Marinov, A</dc:creator><dc:creator>Mccartin, J</dc:creator><dc:creator>Ryckbosch, D</dc:creator><dc:creator>Thyssen, F</dc:creator><dc:creator>Tytgat, M</dc:creator><dc:creator>Vanelderen, L</dc:creator><dc:creator>Verwilligen, P</dc:creator><dc:creator>Walsh, S</dc:creator><dc:creator>Zaganidis, N</dc:creator><dc:creator>Basegmez, S</dc:creator><dc:creator>Bruno, G</dc:creator><dc:creator>Caudron, J</dc:creator><dc:creator>Ceard, L</dc:creator><dc:creator>Gil, E Cortina</dc:creator><dc:creator>De Jeneret, J De Favereau</dc:creator><dc:creator>Delaere, C</dc:creator><dc:creator>Favart, D</dc:creator><dc:creator>Giammanco, A</dc:creator><dc:creator>Grégoire, G</dc:creator><dc:creator>Hollar, J</dc:creator><dc:creator>Lemaitre, V</dc:creator><dc:creator>Liao, J</dc:creator><dc:creator>Militaru, O</dc:creator><dc:date>2011-06-01</dc:date><dc:description>A measurement of the double-differential inclusive dijet production cross section in proton–proton collisions at s=7 TeV is presented as a function of the dijet invariant mass and jet rapidity. The data correspond to an integrated luminosity of 36 pb−1, recorded with the CMS detector at the LHC. The measurement covers the dijet mass range 0.2 TeV to 3.5 TeV and jet rapidities up to |y|=2.5. It is found to be in good agreement with next-to-leading-order QCD predictions.</dc:description><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>4902 Mathematical Physics (for-2020)</dc:subject><dc:subject>49 Mathematical Sciences (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>5106 Nuclear and Plasma Physics (for-2020)</dc:subject><dc:subject>5107 Particle and High Energy Physics (for-2020)</dc:subject><dc:subject>4902 Mathematical Physics (for-2020)</dc:subject><dc:subject>49 Mathematical Sciences (for-2020)</dc:subject><dc:subject>51 Physical Sciences (for-2020)</dc:subject><dc:subject>Hadron-Hadron scattering (experiments)</dc:subject><dc:subject>Particle and resonance production</dc:subject><dc:subject>CMS</dc:subject><dc:subject>Physics</dc:subject><dc:subject>QCD</dc:subject><dc:subject>Jets</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>hep-ex</dc:subject><dc:subject>0105 Mathematical Physics (for)</dc:subject><dc:subject>0201 Astronomical and Space Sciences (for)</dc:subject><dc:subject>0202 Atomic</dc:subject><dc:subject>Molecular</dc:subject><dc:subject>Nuclear</dc:subject><dc:subject>Particle and Plasma Physics (for)</dc:subject><dc:subject>Nuclear &amp; Particles Physics (science-metrix)</dc:subject><dc:subject>49 Mathematical sciences (for-2020)</dc:subject><dc:subject>51 Physical sciences (for-2020)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9jq3p80r</dc:identifier><dc:identifier>https://escholarship.org/content/qt9jq3p80r/qt9jq3p80r.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.physletb.2011.05.027</dc:identifier><dc:type>article</dc:type><dc:source>Physics Letters B, vol 700, iss 3-4</dc:source><dc:coverage>187 - 206</dc:coverage></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2rm9n5kz</identifier><datestamp>2026-07-31T08:44:09Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2rm9n5kz</dc:identifier><dc:title>SmartCS: Enabling the Creation of ML Powered Computer Vision Mobile Apps for Citizen Science Applications without Coding</dc:title><dc:creator>Khan, Fahim Hasan</dc:creator><dc:creator>de Silva, Akila</dc:creator><dc:creator>Dusek, Gregory</dc:creator><dc:creator>Davis, James</dc:creator><dc:creator>Pang, Alex</dc:creator><dc:date>2024-07-02</dc:date><dc:description>It is undeniable that citizen science contributes to the advancement of various fields of
study. There are now software tools that facilitate the development of citizen science
apps. However, apps developed with these tools rely on individual human skills to correctly
collect useful data. Machine learning (ML)–aided apps provide on-field guidance to citizen
scientists on data collection tasks. However, these apps rely on server-side ML support,
and therefore need a reliable internet connection. Furthermore, the development of
citizen science apps with ML support requires a significant investment of time and money.
For some projects, this barrier may preclude the use of citizen science effectively. We
present a platform that democratizes citizen science by making it accessible to a much
broader audience of both researchers and participants. The SmartCS platform allows one
to create citizen science apps with ML support quickly and without coding skills. Apps
developed using SmartCS have client-side ML support, making them usable in the field,
even when there is no internet connection. The client-side ML helps educate users to
better recognize the subjects, thereby enabling high-quality data collection. We present
several citizen science apps created using SmartCS, some of which were conceived and
created by high school students.</dc:description><dc:subject>machine learning application</dc:subject><dc:subject>computer vision</dc:subject><dc:subject>citizen science</dc:subject><dc:subject>mobile app building platform</dc:subject><dc:subject>system design</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2rm9n5kz</dc:identifier><dc:identifier>https://escholarship.org/content/qt2rm9n5kz/qt2rm9n5kz.pdf</dc:identifier><dc:identifier>info:doi/10.5334/cstp.642</dc:identifier><dc:type>article</dc:type><dc:source>Citizen Science: Theory and Practice, vol 9, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5hm1c2g0</identifier><datestamp>2026-07-31T08:44:07Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5hm1c2g0</dc:identifier><dc:title>RipScout: Realtime ML-Assisted Rip Current Detection and Automated Data Collection using UAVs</dc:title><dc:creator>Khan, Fahim Hasan</dc:creator><dc:creator>Stewart, Donald</dc:creator><dc:creator>de Silva, Akila</dc:creator><dc:creator>Palinkas, Ashleigh</dc:creator><dc:creator>Dusek, Gregory</dc:creator><dc:creator>Davis, James</dc:creator><dc:creator>Pang, Alex</dc:creator><dc:date>2025-02-18</dc:date><dc:description>This article presents RipScout, a system for realtime
rip current detection and data collection using drones equipped
with machine learning (ML). No internet connection is required.
RipScout achieves realtime performance by using lightweight ML
models that fit the constraints of limited mobile computing re-
sources with the drone controller. We compared different ML
models trained to detect either one or two types of rip currents.
The best model was then selected for RipScout. The system was
evaluated with three ML models, with the EfficientDet D2 model
achieving the highest accuracy of 93.1% for multiclass detection
while maintaining realtime processing at an average speed of 17
frames per second. When a rip is detected along a flight path, the
drone hovers in place and collects a video clip of a predefined length,
followed by circling around the detected rip using prespecified
radii and heights to collect video samples from different vantage
points and elevations. An important benefit of RipScout is that the
collection of rip current data can be performed by drone operators
who are not familiar with rip currents. We conducted field tests
and found that the proposed system allows data to be collected
four times faster than without it while improving accuracy. As a
by-product of the field experiments, we also provide a new rip
current dataset. Such a multiviewpoint dataset can be used to
improve rip current detection, especially from lower elevations and
different orientations.</dc:description><dc:subject>Computer vision</dc:subject><dc:subject>data collection</dc:subject><dc:subject>machine
learning (ML)</dc:subject><dc:subject>mobile computing</dc:subject><dc:subject>real-time processing</dc:subject><dc:subject>rip current
detection</dc:subject><dc:subject>uncrewed aerial vehicle (UAVs)</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5hm1c2g0</dc:identifier><dc:identifier>https://escholarship.org/content/qt5hm1c2g0/qt5hm1c2g0.pdf</dc:identifier><dc:identifier>info:doi/10.1109/JSTARS.2025.3543695</dc:identifier><dc:type>article</dc:type><dc:source>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol 18</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt03m1w9bg</identifier><datestamp>2026-07-31T08:44:06Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt03m1w9bg</dc:identifier><dc:title>Response of eelgrass (Zostera marina) to an adjacent Olympia oyster restoration project</dc:title><dc:creator>Briley, Sara</dc:creator><dc:creator>Ware, Rick</dc:creator><dc:creator>Whitcraft, Christine</dc:creator><dc:creator>Zacherl, Danielle</dc:creator><dc:date>2021-10-07</dc:date><dc:description>Recent restoration efforts for the native Olympia oyster, Ostrea lurida, are commonly motivated by potential return of oyster-associated ecosystem services, including increased water filtration. The potential impact of such restoration on another species of ecological concern, eelgrass, Zostera marina, is unclear, but has been hypothesized to be positive if oyster filter feeding increases light penetration to eelgrass. For two years after construction of an oyster restoration project, we assessed the response of adjacent eelgrass (impact) compared to control and reference eelgrass beds by monitoring changes in light intensity, eelgrass shoot density, biomass, leaf morphometrics, and epiphyte load. We observed lower light intensity consistently over time, including prior to restoration, near the constructed oyster bed relative to the control and one of the reference locations. We also observed minor variations between control and impact eelgrass morphology and density. However, the changes observed were not outside the range of natural variation expected in this system, based upon comparisons to reference eelgrass beds, nor were they detrimental. This limited impact to eelgrass may be due in part to the incorporation of a buffer distance between the restored oyster bed and the existing eelgrass bed, which may have dampened both positive and negative impacts. These findings provide evidence that Olympia oyster restoration and eelgrass conservation goals can be compatible and occur simultaneously.</dc:description><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/03m1w9bg</dc:identifier><dc:identifier>https://escholarship.org/content/qt03m1w9bg/qt03m1w9bg.pdf</dc:identifier><dc:identifier>info:doi/10.1371/journal.pone.0258119</dc:identifier><dc:type>article</dc:type><dc:source>PLoS ONE, vol 16, iss 10</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4nn2x68g</identifier><datestamp>2026-07-31T08:44:04Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4nn2x68g</dc:identifier><dc:title>Sea level rise impacts on Coastal Access</dc:title><dc:creator>Patsch, Kiki</dc:creator><dc:creator>Reineman, Dan R.</dc:creator><dc:date>2024-04-01</dc:date><dc:description>Climate change and associated sea level rise (SLR) will have substantial impacts on
coastlines worldwide, threatening beaches, infrastructure, economies, and communi-
ties. In California, communities and individuals rely on the state’s public coastal access
to physically reach and use the beaches and nearshore waters. Such use constitutes
a key component of the state’s ocean-dependent coastal tourism and recreation sec-
tor, and contributes significantly to state and local economies, coastal culture, and
individual’s coastal attachment. This study investigates the impacts of SLR on coastal
access, first by using geospatial tools to develop a higher resolution database of the
location and elevation of coastal access sites (opportunities, amenities, and facilities,
including parking) at various coastal access sites statewide. Then, using the Coastal
Storm Modeling System (CoSMoS) SLR run-up model, we project the loss of coastal
access opportunities due to SLR. We find that impacts to coastal access increase in-
crementally with SLR and vary widely by access feature type and location, with larger
impacts accruing more rapidly in the southern half of the state. We project that access
to California’s shoreline will drown at the rate of approximately 100 access opportuni-
ties per 1 foot of SLR. Losses of coastal access will impact individual communities
and groups differently and are sensitive to the effects of different strategies designed
to manage coastlines in the face of rising sea levels.</dc:description><dc:subject>Climate change</dc:subject><dc:subject>coast-
al access</dc:subject><dc:subject>coastal management</dc:subject><dc:subject>sea-
level rise</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4nn2x68g</dc:identifier><dc:identifier>https://escholarship.org/content/qt4nn2x68g/qt4nn2x68g.pdf</dc:identifier><dc:identifier>info:doi/10.34237/1009224</dc:identifier><dc:type>article</dc:type><dc:source>Shore &amp; Beach, vol 92, iss 2</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2d71g0sx</identifier><datestamp>2026-07-31T08:44:03Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2d71g0sx</dc:identifier><dc:title>Investigating eye lens composition for stable isotope analysis in fishes: a comparison between Chondrichthyes and Actinopterygii</dc:title><dc:creator>Kuntz, Jonathan P.</dc:creator><dc:creator>Bell-Tilcock, Miranda</dc:creator><dc:creator>Vecchio, Julie L.</dc:creator><dc:creator>Wallace, Amy A.</dc:creator><dc:creator>Sturrock, Anna M.</dc:creator><dc:creator>Perry, Sean M.</dc:creator><dc:creator>Kim, Sora L.</dc:creator><dc:date>2024-12-17</dc:date><dc:description>Life history ecology provides a framework for understanding the complex interactions between organisms and their environments but is challenging to resolve for long-lived and migratory species. In fishes, life history is predominantly explored with stable isotope analysis (SIA) of accretionary tissues, such as otoliths. An alternative archival tissue validated for SIA in Teleosts (i.e., ray-finned fishes) is the proteinaceous eye lens and its growth layers (laminae). Here, we aim to expand the SIA of laminae to include Chondrichthyans (cartilaginous fishes; sharks, skates, rays, sawfish, and chimeras). We observe that urea in the eye lens drives patterns of elemental composition (i.e., C:N ratio) for Chondrichthyes, but the isotopic effect of urea is negligible. Teleost fishes exhibit consistent C:N ratios across eye lenses, while Chondrichthyan eye lens laminae C:N ratios decrease from the inner post-apoptotic laminae to outer pre-apoptotic laminae. After confirming the presence of urea in the Leopard Shark (Triakis semifasciata) eye lens laminae with Attenuated Total Reflectance (ATR) - Fourier Transform Infrared (FTIR) spectroscopy and urea assays, we successfully removed urea from eye lens laminae via three deionized water rinses. Subsequently, the C:N ratios of post-urea extracted Leopard Shark eye lens laminae exhibited similar patterns to Teleost fishes. Urea removal from Leopard Shark eye lens laminae increased in δ15N values as expected, but the isotopic effect was within analytical error. Our results indicate the utility of Chondrichthyan eye lens laminae as chronological tissues for SIA. However, there are isotopic effects dependent on urea concentrations. This study demonstrates the need for inter-taxa comparison when establishing novel methodologies in SIA.</dc:description><dc:subject>Shark · Urea · Lipid · Movement · Diet ·
Ecology · Biochemistry</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2d71g0sx</dc:identifier><dc:identifier>https://escholarship.org/content/qt2d71g0sx/qt2d71g0sx.pdf</dc:identifier><dc:identifier>info:doi/10.1007/s10641-024-01656-6</dc:identifier><dc:type>article</dc:type><dc:source>Environmental Biology of Fishes</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt16h7w3sx</identifier><datestamp>2026-07-31T08:44:01Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt16h7w3sx</dc:identifier><dc:title>How California Sea Grant’s State Fellowship Program Fuels Careers in Coastal Conservation and Management</dc:title><dc:creator>Oh, Shauna</dc:creator><dc:creator>Medina, Delanie</dc:creator><dc:creator>Leschin-Hoar, Clare</dc:creator><dc:date>2024-04-29</dc:date><dc:description>California Sea Grant’s State Fellowship Program, modeled after NOAA
Sea Grant’s highly successful John A. Knauss Marine Policy Fellowship Program,
provides hands-on experience in the planning, implementation, and management
of marine, coastal, and/or watershed resource policies and programs in the state of
California. The program matches graduate students who have recently completed their
degrees with hosts in municipal, state, and federal agencies and in research and con-
servation organizations in California for a 12-month paid fellowship. Over 300 fellows
have been matched with over 40 unique hosts since its launch in 1987. Many alumni are
now employed in key positions in government at the state and federal level, with 80% of
participants in a given year going on to jobs in policy and/or resource management
after completing their fellowships. This article provides a brief history of the program
and testimonials from past fellows and hosts, and explores the program’s important role
in providing agencies with well-trained, environmentally literate staff who can support
the needs of coastal communities and ecosystems for the climate challenges ahead.</dc:description><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/16h7w3sx</dc:identifier><dc:identifier>https://escholarship.org/content/qt16h7w3sx/qt16h7w3sx.pdf</dc:identifier><dc:identifier>info:doi/10.5670/oceanog.2024.213</dc:identifier><dc:type>article</dc:type><dc:source>Oceanography THE OFFICIAL MAGAZINE OF THE OCEANOGRAPHY SOCIETY, vol 37, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt49p6r457</identifier><datestamp>2026-07-31T08:44:00Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt49p6r457</dc:identifier><dc:title>Collaborative fisheries research reveals reserve size and age determine efficacy across a network of marine protected areas</dc:title><dc:creator>Ziegler, Shelby L.</dc:creator><dc:creator>Brooks, Rachel O.</dc:creator><dc:creator>Bellquist, Lyall F.</dc:creator><dc:creator>Caselle, Jennifer E.</dc:creator><dc:creator>Morgan, Steven G.</dc:creator><dc:creator>Mulligan, Timothy J.</dc:creator><dc:creator>Ruttenberg, Benjamin I.</dc:creator><dc:creator>Semmens, Brice X.</dc:creator><dc:creator>Starr, Richard M.</dc:creator><dc:creator>Tyburczy, Joe</dc:creator><dc:creator>Wendt, Dean E.</dc:creator><dc:creator>Buchheister, Andre</dc:creator><dc:creator>Jarrin, Jose R. Marin</dc:creator><dc:creator>Pasparakis, Christina</dc:creator><dc:creator>Jorgensen, Salvador J.</dc:creator><dc:creator>Chiu, Jennifer A.</dc:creator><dc:creator>Colby, Jordan</dc:creator><dc:creator>Coscino, Connor L.</dc:creator><dc:creator>Davis, Lean</dc:creator><dc:creator>de Castro, Francine</dc:creator><dc:creator>Elstner, Jack T.</dc:creator><dc:creator>Honeyman, Christopher</dc:creator><dc:creator>Mason, Erica T. Jarvis</dc:creator><dc:creator>Johnston, Erin M.</dc:creator><dc:creator>Small, Sadie L.</dc:creator><dc:creator>Staton, Jay</dc:creator><dc:creator>Waltz, Grant T.</dc:creator><dc:creator>Basnett, Bonnie</dc:creator><dc:creator>Satterthwaite, Erin V.</dc:creator><dc:creator>Killeen, Helen</dc:creator><dc:creator>Dibble, Connor D.</dc:creator><dc:creator>Hamilton, Scott L.</dc:creator><dc:date>2023-12-10</dc:date><dc:description>A variety of criteria may influence the efficacy of networks of marine protected areas (MPA) designed to enhance biodiversity conservation and provide fisheries benefits. Meta-analyses have evaluated the influence of MPA attributes on abundance, biomass, and size structure of harvested species, reporting that MPA size, age, depth, and connectivity influence the strength of MPA responses. However, few empirical MPA evaluation studies have used consistent sampling methodology across multiple MPAs and years. Our collaborative fisheries research program systematically sampled 12 no-take or highly protective limited-take MPAs and paired fished reference areas across a network spanning 1100 km of coastline to evaluate the factors driving MPA efficacy across a large geographic region. We found that increased size and age consistently contributed to increased fish catch, biomass, and positive species responses inside MPAs, while accounting for factors such as latitude, primary productivity, and distance to the nearest MPA. Our study provides a model framework to collaboratively engage diverse stakeholders in fisheries research and provide high-quality data to assess the success of conservation strategies.</dc:description><dc:subject>biomass</dc:subject><dc:subject>California</dc:subject><dc:subject>community-based science</dc:subject><dc:subject>empirical data</dc:subject><dc:subject>fish communities</dc:subject><dc:subject>marine protected areas</dc:subject><dc:subject>productivity</dc:subject><dc:subject>reserve network</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/49p6r457</dc:identifier><dc:identifier>https://escholarship.org/content/qt49p6r457/qt49p6r457.pdf</dc:identifier><dc:identifier>info:doi/10.1111/conl.13000</dc:identifier><dc:type>article</dc:type><dc:source>Conservation Letters, vol e13000</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5xx5x757</identifier><datestamp>2026-07-31T08:43:58Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5xx5x757</dc:identifier><dc:title>Centering knowledge co-production in sustainability science: Why, how, and when.</dc:title><dc:creator>Satterthwaite, Erin V.</dc:creator><dc:creator>McQuain, Liz</dc:creator><dc:creator>Almada, Amalia A.</dc:creator><dc:creator>Rudnick, Jessica M.</dc:creator><dc:creator>Eberhardt, Alyson L.</dc:creator><dc:creator>Doerr, Angee N.</dc:creator><dc:creator>O'Connor, Ryan J.</dc:creator><dc:creator>Wright, Nicole</dc:creator><dc:creator>Briggs, Rebecca A.</dc:creator><dc:creator>Robbins, Matthew J.</dc:creator><dc:creator>Bastidas, Carolina</dc:creator><dc:creator>Sparks, Eric L.</dc:creator><dc:creator>Goodrich, Kristen A.</dc:creator><dc:creator>Costello, Wells J.</dc:creator><dc:date>2024-04-29</dc:date><dc:description>Solving complex sustainability problems requires novel, creative approaches. One such approach is knowledge co-production, where individuals with diverse expertise collaborate to generate knowledge in support of transformative solutions. Although the concept is not new, there is growing interest in using knowledge co-production in sustainability science, yet relatively few resources offer a practical guide, rooted in theory, to help researchers and practitioners understand when and how to co-produce in the context of sustainability science. This paper synthesizes the existing literature across multiple disciplines to present a novel framework and actionable strategies for effective knowledge co-production in sustainability. The wheel of knowledge co-production, the conceptual framework presented, emphasizes the importance of iterative phases of building relationships, assessing available resources, involving diverse participants, considering context, and working together with partners to design mutually beneficial and respectful processes and outcomes.</dc:description><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5xx5x757</dc:identifier><dc:identifier>https://escholarship.org/content/qt5xx5x757/qt5xx5x757.pdf</dc:identifier><dc:identifier>info:doi/10.5670/oceanog.2024.217</dc:identifier><dc:type>article</dc:type><dc:source>Oceanography, vol 37, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt091767ck</identifier><datestamp>2026-07-31T08:43:56Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt091767ck</dc:identifier><dc:title>Building bridges for ocean sustainability: The evolution and impact of the Early Career Ocean Professional (ECOP) Programme</dc:title><dc:creator>Roman, Raphael</dc:creator><dc:creator>Kostianaia, Evgeniia</dc:creator><dc:creator>Bowes, Ashley</dc:creator><dc:creator>Satterthwaite, Erin</dc:creator><dc:creator>Savage, Conor</dc:creator><dc:creator>Ilosvay, Xochitl Edua Elias</dc:creator><dc:creator>Fox, Natalie</dc:creator><dc:creator>Boujmil, Ines</dc:creator><dc:creator>Nocito, Emily</dc:creator><dc:creator>Santamaria, Sara Mohamed</dc:creator><dc:creator>Maggioni, Tecla</dc:creator><dc:creator>Ndah, Anthony</dc:creator><dc:creator>Onwubiko, Chinomso</dc:creator><dc:creator>Higa, Karina</dc:creator><dc:creator>Juma, Gabriel Akoko</dc:creator><dc:creator>Mwangi, Pauline Nyambura</dc:creator><dc:creator>Offei-Darko, Lord</dc:creator><dc:creator>Khatib, Laura</dc:creator><dc:creator>Elegbede, Isa</dc:creator><dc:creator>Oguguah, Ngozi</dc:creator><dc:creator>Elkhouly, Hadeer A.</dc:creator><dc:creator>Nwajiaku, Loretta</dc:creator><dc:date>2024-06-21</dc:date><dc:description>Since its endorsement as a global network Programme in June 2021, the Early Career Ocean Professional (ECOP) Programme has been instrumental in supporting ocean professionals worldwide through funding, training, networking opportunities, and career development initiatives. Rooted in the vision of elevating diverse perspectives, the ECOP Programme fosters knowledge exchange between experienced professionals and ECOPs to promote ocean sustainability. As the UN Decade of Ocean Science for Sustainable Development (2021-2030) enters its fourth year of implementation, the ECOP Programme has grown and diversified to a formidable extent, both geographically and thematically. With over 5,200 ECOPs from 151 countries and overseas territories, the global ECOP community is currently dispersed across five regional nodes and more than 40 national hubs. This commentary brings some of the most active ECOP nodes into the limelight, amplifying their collective efforts to better understand, engage, and empower the next generation of ocean professionals across different cultural contexts. This is also an opportunity to showcase the successes, milestones, and challenges that ECOP nodes have encountered over the past 2 years, including on thematic priorities such as communications and outreach, capacity development, and ocean literacy. Moving forward, the ECOP Programme aims to further expand geographically, enhance funding capacities, deepen capacity development efforts, and promote greater awareness of the UN Ocean Decade ecosystem and its vast portfolio of endorsed Actions. As the next generation of ocean professionals will inherit our interconnected ocean beyond 2030, building trust, transferring knowledge, and taking true ownership of the global ocean agenda are paramount.</dc:description><dc:subject>capacity development</dc:subject><dc:subject>ECOPs</dc:subject><dc:subject>global network</dc:subject><dc:subject>ocean literacy</dc:subject><dc:subject>UN Ocean Decade</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/091767ck</dc:identifier><dc:identifier>https://escholarship.org/content/qt091767ck/qt091767ck.pdf</dc:identifier><dc:identifier>info:doi/10.4031/MTSJ.58.1.4</dc:identifier><dc:type>article</dc:type><dc:source>Marine Technology Society, vol 58, iss 2026-01-02T00:00:00+00:00</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt48f93647</identifier><datestamp>2026-07-31T08:43:55Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt48f93647</dc:identifier><dc:title>Artificial intelligence literacy for ocean professionals is needed for a sustainable future</dc:title><dc:creator>Satterthwaite, Erin</dc:creator><dc:creator>Robbins, Matthew</dc:creator><dc:date>2024-09-27</dc:date><dc:subject>Artificial Intelligence</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/48f93647</dc:identifier><dc:identifier>https://escholarship.org/content/qt48f93647/qt48f93647.pdf</dc:identifier><dc:identifier>info:doi/10.5670/oceanog.2025.109</dc:identifier><dc:type>article</dc:type><dc:source>Oceanography</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9m37z8rq</identifier><datestamp>2026-07-31T08:43:53Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9m37z8rq</dc:identifier><dc:title>Predicting Shoreline Changes Along the California Coast Using Deep Learning Applied to Satellite Observations</dc:title><dc:creator>Adusumilli, Susheel</dc:creator><dc:creator>Cirrito, Nicholas</dc:creator><dc:creator>Engeman, Laura</dc:creator><dc:creator>Fiedler, Julia W.</dc:creator><dc:creator>Guza, R. T.</dc:creator><dc:creator>Lange, Athina M. Z.</dc:creator><dc:creator>Merrifield, Mark A.</dc:creator><dc:creator>O'Reilly, William</dc:creator><dc:creator>Young, Adam P.</dc:creator><dc:date>2024-06-27</dc:date><dc:description>Understanding and predicting changes in shoreline location are critical for coastal planners. In situ monitoring is accurate but not widely available. Satellite observations of shorelines have global coverage, but their accuracy and predictive capacity have not been fully explored. Abundant beach surveys and extensive wave observations in Southern California provide a unique ground truth for the interpretation of satellite-derived recently wetted waterlines. We combine 23 years of waterline position estimates from satellite imagery with nearshore wave hindcasts and tides to train and test a deep neural network (DNN). The trained DNN uses only tides and waves as predictors at transects with satellite coverage and wave estimates to predict beach width and, for the first time, seasonal average beach slopes. Beach width changes hindcast using DNN have at least fair skill (&amp;gt;0.3) for 50% of transects, where the skill was calculated relative to the mean of extensive new in situ survey data from in San Diego County. The DNN also predicted shoreline changes to within 10 m (the nominal uncertainty in satellite-derived shorelines) for 64% of transects lacking ground truth. DNN and survey estimates of seasonal beach slope changes also agree qualitatively.</dc:description><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9m37z8rq</dc:identifier><dc:identifier>https://escholarship.org/content/qt9m37z8rq/qt9m37z8rq.pdf</dc:identifier><dc:identifier>info:doi/10.1029/2024JH000172</dc:identifier><dc:type>article</dc:type><dc:source>JGR Machine Learning and Computation, vol 1, iss e2024JH000172</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3r9835cw</identifier><datestamp>2026-07-31T08:43:52Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3r9835cw</dc:identifier><dc:title>Coastal Flood Hazard Workshop: Advancements in Bridging Scales and Disciplines for Future Risk Assessment</dc:title><dc:creator>Rodriguez, Angelica R.</dc:creator><dc:creator>Fiedler, Julia</dc:creator><dc:creator>Engeman, Laura</dc:creator><dc:creator>Vawter, Annika</dc:creator><dc:creator>Merrifield, Mark</dc:creator><dc:creator>Marra, John J.</dc:creator><dc:creator>Boone, David</dc:creator><dc:date>2024-11-06</dc:date><dc:description>This workshop brought together researchers with technical expertise in predicting and evaluating coastal flood hazards and potential impacts in a changing climate with the goal of assessing state-of-the-art methods, determining knowledge gaps, and identifying future research pathways that can inform community-level flood risk and adaptation planning.</dc:description><dc:subject>Climate prediction</dc:subject><dc:subject>Forecasting</dc:subject><dc:subject>Planning</dc:subject><dc:subject>Resilience</dc:subject><dc:subject>Risk assessment</dc:subject><dc:subject>Societal impacts</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3r9835cw</dc:identifier><dc:identifier>https://escholarship.org/content/qt3r9835cw/qt3r9835cw.pdf</dc:identifier><dc:identifier>info:doi/10.1175/BAMS-D-24-0213.1</dc:identifier><dc:type>article</dc:type><dc:source>Bulletin of the American Meteorological Society, vol 105, iss 11</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8rc0w174</identifier><datestamp>2026-07-31T08:43:50Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8rc0w174</dc:identifier><dc:title>Size at maturity, reproductive cycle, and fecundity of the southern California brown box crab Lopholithodes foraminatus and implications for developing a new targeted fishery,</dc:title><dc:creator>Stroud, Ashley</dc:creator><dc:creator>Culver, Carolynn S.</dc:creator><dc:creator>Page, Henry M.</dc:creator><dc:date>2024-06-10</dc:date><dc:description>The brown box crab Lopholithodes foraminatus is a member of the king and stone crab family (Lithodidae) that occurs in deepwater along the eastern Pacific coast. Historically, landings in California have been low for this species, but an increase in fishing pressure prompted the state to designate it as
an emerging fishery and implement an experimental fishery program. With no known biological studies of California brown box crab, essential fisheries information is needed to evaluate the feasibility of a new targeted fishery.</dc:description><dc:subject>brown box crab</dc:subject><dc:subject>fecundity</dc:subject><dc:subject>fisheries</dc:subject><dc:subject>reproduction</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8rc0w174</dc:identifier><dc:identifier>https://escholarship.org/content/qt8rc0w174/qt8rc0w174.pdf</dc:identifier><dc:identifier>info:doi/10.1002/mcf2.10291</dc:identifier><dc:type>article</dc:type><dc:source>Marine and Coastal Fisheries, vol 16, iss 3</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4s38k3b1</identifier><datestamp>2026-07-31T08:43:48Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4s38k3b1</dc:identifier><dc:title>Sea Grant Programs Build Resilience to Coastal Climate Hazards.</dc:title><dc:creator>Miller, Ian</dc:creator><dc:creator>Collins, Mary</dc:creator><dc:creator>Covi, Michelle</dc:creator><dc:creator>Gassett, Parker</dc:creator><dc:creator>Abeels, Holly</dc:creator><dc:creator>Alvarez, Karina</dc:creator><dc:creator>Barrett, Juliana</dc:creator><dc:creator>Barry, Savanna</dc:creator><dc:creator>Behl, Mona</dc:creator><dc:creator>Collini, Renee</dc:creator><dc:creator>Engeman, Laura</dc:creator><dc:creator>Grifman, Phyllis</dc:creator><dc:creator>Kerr, Laura</dc:creator><dc:creator>McClure, Kate</dc:creator><dc:creator>Petrone, Christopher</dc:creator><dc:creator>Richmond, Laurie</dc:creator><dc:creator>Rubinoff, Pamela</dc:creator><dc:creator>Swallow, Danielle</dc:creator><dc:date>2024-04-29</dc:date><dc:description>Sea Grant programs across the United States and its territories are working with coastal communities to enhance their resilience to hazards and weather extremes exacerbated by climate change. Drawing on the expertise of the authors, many of whom have multiple years or decades of experience in the Sea Grant network, the article identifies five key strategies that Sea Grant programs employ to support the process of coastal hazards and extreme weather adaptation and resilience-building. The application of these strategies, most of which have their roots in the historical legacy of extension, are then illustrated through summaries of current Sea Grant activities and projects, showcasing how they have been applied in real-world situations. These strategies allow Sea Grant programs to fill a unique and valuable niche in national efforts to enhance coastal resilience. The article concludes with a discussion of emerging challenges and recommendations for strengthening Sea Grant’s capacity to support adaptation in coastal communities into the future.</dc:description><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4s38k3b1</dc:identifier><dc:identifier>https://escholarship.org/content/qt4s38k3b1/qt4s38k3b1.pdf</dc:identifier><dc:identifier>info:doi/10.5670/oceanog.2024.221</dc:identifier><dc:type>article</dc:type><dc:source>Oceanography, vol 37, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt3mb2t1j8</identifier><datestamp>2026-07-31T08:43:47Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt3mb2t1j8</dc:identifier><dc:title>Marine Protected Areas and Fishing Community Well-Being: An Example from Statewide Socioeconomic Monitoring of the California MPA Network.</dc:title><dc:creator>Cook, Samantha</dc:creator><dc:creator>Richmond, Laurie</dc:creator><dc:creator>Chang, Joice</dc:creator><dc:creator>Sayce, Kelly</dc:creator><dc:creator>Bonkoski, Jon</dc:creator><dc:creator>Chen, Cheryl</dc:creator><dc:creator>Enevoldsen, Jocelyn</dc:creator><dc:creator>Fisher, Rachelle</dc:creator><dc:creator>Chin, Denise</dc:creator><dc:creator>Kia, Mikayla</dc:creator><dc:date>2024-09-01</dc:date><dc:description>As marine protected areas (MPAs) continue to proliferate as an ocean conservation tool, it is important to understand their socioeconomic outcomes, both in the short-term following implementation and in the long-term as they become a more permanent part of the ocean landscape. This paper presents results from an effort to conduct long-term socioeconomic monitoring of commercial fishing communities in relation to California’s statewide MPA network, which was fully implemented in 2012 and consists of 124 MPAs covering 16% of state waters. To assess commercial fishing community perceptions of well-being and outcomes from the MPA network, we held virtual focus groups in 18 major port-based commercial fishing communities across California with a total of 85 participants from 2020 to 2021. Focus groups had both quantitative and qualitative components, with participants rating their fishing community and engaging in discussions on topics related to their environmental, economic, and social well-being and MPA outcomes. Results revealed that perceptions of fishing community
well-being varied throughout the state, but were overall low. Key areas for improvement included recruitment and retention of participants in the fishing industry, availability and maintenance of key fishing infrastructure, and access to harvestable resources. Fishing community perceptions of the management and outcomes from the MPA network were overwhelmingly low across the state with little variation. Common reasons for participant dissatisfaction included perceptions of negative ecological and livelihood outcomes from the MPAs and a perceived lack of clear MPA management goals in addition to poor communication of those goals. Overall findings highlight the value of collecting community well-being data in coordination with long-term socioeconomic MPA monitoring to understand the greater context in which MPAs are received. A well-being approach to socioeconomic MPA monitoring also broadens policy pathways that could help improve outcomes from and beyond MPAs to support overall fishing community health.</dc:description><dc:subject>Community perceptions</dc:subject><dc:subject>Well-being
MPA outcomes</dc:subject><dc:subject>MPA governance</dc:subject><dc:subject>Fisheries management</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/3mb2t1j8</dc:identifier><dc:identifier>https://escholarship.org/content/qt3mb2t1j8/qt3mb2t1j8.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.ocecoaman.2024.107199</dc:identifier><dc:type>article</dc:type><dc:source>Ocean &amp; Coastal Management, vol 254, iss 107199</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt99d6q5tt</identifier><datestamp>2026-07-31T08:43:45Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt99d6q5tt</dc:identifier><dc:title>Living in the ‘Blue Zone’ of a sea-level rise inundation map: Community perceptions of coastal flooding in King Salmon, California</dc:title><dc:creator>Richmond, Laurie</dc:creator><dc:creator>Kunkel, Kristina</dc:creator><dc:date>2024-01-01</dc:date><dc:description>As sea-level rise (SLR) inundation maps proliferate, it is important to study their politics – both how they are created and how they act upon and shape various lives and places. This paper uses the example of King Salmon, CA – a rural, low-income residential area projected to be one of the most at risk to SLR on the US West Coast – to examine how a community responds to external projections showing SLR risk to their homes and businesses. Through interviews with 17 King
Salmon community members and observation of a county-hosted ‘communities at risk’ workshop, we examined the community’s social context, their past experiences with flooding, and their reaction to SLR projection maps including what next steps they would like to see taken. Residents expressed a strong connection to the place, noting that it is one of the few affordable places to live on the coast in California. We found that residents already live with regular flooding during larger tides of the year and have taken steps to adapt. We observed a strong generational component in responses to projection maps with many older respondents believing or hoping that the worst effects from SLR would not come until after they passed away. Residents expressed a lack of faith
in government to address flooding concerns both at present and into the future, noting that general maintenance issues have gone unaddressed for decades. Many residents interviewed and observed seemed open or at least resigned to the possibility of relocation at a future undetermined time. This work reveals the power dynamics inherent in climate projections like SLR maps, which, due to their technical nature and mobility, can leave communities out of  conversations related to potential futures. Findings also have implications related to climate and SLR work – highlighting the importance of understanding community context; contributing to equity considerations about how wealth and other demographic factors shape how communities interact with SLR planning; and spotlighting the need for sustained learning, engagement, and co-production with communities in the ‘blue zones’ of SLR inundation maps.</dc:description><dc:subject>Sea-level rise</dc:subject><dc:subject>Resilience</dc:subject><dc:subject>Flood
Community engagement</dc:subject><dc:subject>Risk perception</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/99d6q5tt</dc:identifier><dc:identifier>https://escholarship.org/content/qt99d6q5tt/qt99d6q5tt.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.crm.2024.100596</dc:identifier><dc:type>article</dc:type><dc:source>Climate Risk Management, vol 44, iss 100596</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4jh573pw</identifier><datestamp>2026-07-31T08:43:44Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4jh573pw</dc:identifier><dc:title>Spatiotemporal models reveal dynamic growth patterns in US West Coast groundfish</dc:title><dc:creator>Odell, Andrea N.</dc:creator><dc:creator>Marshall, Kristin N.</dc:creator><dc:creator>Ward, Eric J.</dc:creator><dc:creator>Johnson, Kelli F.</dc:creator><dc:creator>Baskett, Marissa L.</dc:creator><dc:date>2025-12-10</dc:date><dc:description>Objective
Variability in somatic growth of marine fish can affect their reproductive potential and survival and, therefore, the productivity of a population. Understanding how growth might vary among species can improve predictions of population status and responses to environmental change. Our objective was to characterize the variability in growth and body condition of groundfish species along the U.S. West Coast to support their monitoring and assessment.

Methods
We used geostatistical models to estimate growth rate and body condition, two interrelated traits associated with somatic growth, across space and time for nine commercially important U.S. West Coast groundfish species. We fit generalized linear mixed models with Gaussian Markov random fields to biological data collected from annual bottom trawl surveys to estimate variability at a 4- × 4-km spatial resolution.

Results
Our models uncover spatiotemporal variability in growth rate and body condition in all nine groundfish species with limited trends shared among species with similar traits, suggesting a greater influence from niche partitioning acting on local scales. Such interspecific differences in growth rate and body condition also occurred at regional scales, with some species exhibiting positive responses while others declined.

Conclusions
These findings reveal the dynamic nature of somatic growth among groundfish species and provide insight into potential mechanisms of its variability that could be considered within climate-enhanced assessments of population status for marine fish.</dc:description><dc:subject>body condition</dc:subject><dc:subject>California Current</dc:subject><dc:subject>ecosystem-based fisheries management</dc:subject><dc:subject>growth rate</dc:subject><dc:subject>sdmTMB</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4jh573pw</dc:identifier><dc:identifier>https://escholarship.org/content/qt4jh573pw/qt4jh573pw.pdf</dc:identifier><dc:identifier>info:doi/10.1093/tafafs/vnaf050</dc:identifier><dc:type>article</dc:type><dc:source>Transactions of the American Fisheries Society, vol 155, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8rp208rt</identifier><datestamp>2026-07-31T08:43:42Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8rp208rt</dc:identifier><dc:title>A laser-equipped chamber for the assessment of sprint swimming traits in fishes</dc:title><dc:creator>Zillig, Kenneth W.</dc:creator><dc:creator>Fukumoto, Jacqueline A.</dc:creator><dc:creator>McInturf, Alexandra G.</dc:creator><dc:creator>Burman, Scott G.</dc:creator><dc:creator>Steel, Anna E.</dc:creator><dc:creator>Cocherell, Dennis E.</dc:creator><dc:creator>Fangue, Nann A.</dc:creator><dc:date>2025-09-01</dc:date><dc:description>Sprint swimming performance in fishes is relatively understudied despite its critical role in predation attempts, prey evasion, spawning events, and overcoming hydraulic challenges. Sprint swimming is characterized by fast acceleration, over a short distance and of limited duration. The bulk of sprint performance research uses analysis of high-speed recordings of fish behavior. While behavioral video analysis has improved, it is still expensive in both processing time and computational resources, limiting the ability to develop reaction norms for sprint performance which necessitate large sample sizes. Here we present a laser-gated sprint performance chamber (SPC) that improves upon past designs by introducing an adjustable number of lasers (≤ 25) that facilitates greater resolution on sprint performance. Use of customized arrangements can facilitate measurement of novel performance metrics of interest to a range of key questions (e.g., fatigue rate, residual anaerobic capacity, and sprint stamina). Using this chamber we quantified the sprint velocity, residual anaerobic capacity, sprint stamina, and fatigue rate of rainbow trout (Oncorhynchus mykiss), a widely distributed and studied species. We directly compared the results measured by our device to high-speed camera data collected simultaneously and found the velocity estimates from the sprint chamber to be highly accurate (R2 = 0.97). We also compared the sprint performance of individual rainbow trout with their individual UCRIT, a commonly measured metric of aerobic swimming performance. We found little correlation between the two traits, indicating that fish capable of rapid sprint swimming are not necessarily fast sustained swimmers. Finally, we defined and quantified three novel traits of sprint swimming performance: relative anaerobic scope, sprint stamina (the number of sprint events that can be elicited prior to performance decline), and fatigue rate (the rate of decline associated with repeated sprinting). The SPC is an adjustable platform for quantifying understudied elements of fish swimming physiology, improving design of fish passage infrastructure, and facilitating discoveries in how sprint performance changes with environmental conditions.</dc:description><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8rp208rt</dc:identifier><dc:identifier>https://escholarship.org/content/qt8rp208rt/qt8rp208rt.pdf</dc:identifier><dc:identifier>info:doi/10.3389/fevo.2025.1659194</dc:identifier><dc:type>article</dc:type><dc:source>Frontiers in Ecology and Evolution, vol 13</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2777n7s3</identifier><datestamp>2026-07-31T08:43:41Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2777n7s3</dc:identifier><dc:title>Time-varying flow-ecology relationships for an endangered fish population: Longfin Smelt in the San Francisco Estuary</dc:title><dc:creator>Saffarinia, Parsa</dc:creator><dc:creator>Hobbs, James A.</dc:creator><dc:creator>Carlson, Stephanie M.</dc:creator><dc:creator>Ruhi, Albert</dc:creator><dc:date>2026-01-19</dc:date><dc:description>Major estuaries globally are experiencing fast-paced changes in hydrology and ecosystem dynamics. However, connecting alteration of river flow regimes to estuarine fish population dynamics remains a challenge, partly due to the untested assumption that flow regimes, fish dynamics, and the resulting flow–ecology relationships are stationary (i.e., have no systematic changes in mean or variance over time). Here, we studied the endangered population segment of Longfin Smelt (Spirinchus thaleichthys) in the San Francisco Estuary, which depends on seasonal river flows to reproduce. We used extensive biomonitoring data (1980–2020) and two time-series modeling techniques, namely multivariate autoregressive state-space (MARSS) models and dynamic linear models (DLMs), to understand how population dynamics respond to interannual flow variation, and whether flow–ecology relationships have changed over time. MARSS outputs showed that population trajectories are best explained by a combination of lateral and vertical dimensions of habitat structure, that is, whether individuals were collected in channels versus shoals, and in pelagic versus benthic environments. In turn, DLMs revealed time-varying, but often positive effects of flow on young-of-the-year abundance in shallow channel and shoal habitats, but no consistent relationships for older individuals (age-1+), likely due to other drivers influencing survival from age-0 and age-1+. Finally, we found that the two modeling approaches showed agreement only in about 30% of the cases. Divergence in the sign and/or magnitude of flow effects suggests that time-averaged approaches may sometimes oversimplify non-stationary relationships between the environment and fish population dynamics. From a conservation standpoint, the gradually weakening but positive flow–ecology relationship (as opposed to a step change in the relationship) suggests that it may still be possible to reverse the steep population declines of Longfin Smelt through a combination of flow and habitat restoration actions. While we focused on a particular endangered population, our quantitative approach is transferable to other taxa and geographies, and could help inform management of flow-dependent resources in systems strongly affected by non-stationarity. We contend that time-varying flow–ecology relationships are needed to better capture ecological realism, and could help design more effective conservation strategies in fast-changing environments.</dc:description><dc:subject>biomonitoring</dc:subject><dc:subject>estuarine ecosystems</dc:subject><dc:subject>non-stationarity</dc:subject><dc:subject>river flow regime</dc:subject><dc:subject>time-seriesanalyses</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2777n7s3</dc:identifier><dc:identifier>https://escholarship.org/content/qt2777n7s3/qt2777n7s3.pdf</dc:identifier><dc:identifier>info:doi/10.1002/eap.70178</dc:identifier><dc:type>article</dc:type><dc:source>Ecological Applications, vol 36, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0n96v3zs</identifier><datestamp>2026-07-31T08:43:39Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0n96v3zs</dc:identifier><dc:title>Persistent kelp forests during a massive decline reveal the importance of land-sea connectivity</dc:title><dc:creator>Ricart, Aurora M.</dc:creator><dc:creator>Gomez, Julieta B.</dc:creator><dc:creator>Karm, Rachael H.</dc:creator><dc:creator>Largier, John L.</dc:creator><dc:creator>De Souza, Vinicius Bastos Correa</dc:creator><dc:creator>Dias, Abigail S.</dc:creator><dc:creator>Velazquez, Maria G.</dc:creator><dc:creator>Nelson, Taylor</dc:creator><dc:creator>Cavanaugh, Kyle C.</dc:creator><dc:creator>Cavanaugh, Katherine C.</dc:creator><dc:creator>Hughes, Brent B.</dc:creator><dc:date>2025-09-18</dc:date><dc:description>A fundamental goal in ecology is to understand the drivers of stability in natural ecosystems in the face of disturbances. However, this is challenging when biotic and abiotic stressors operate simultaneously across multiple spatial scales. Such is the case for bull kelp forests (Nereocystis luetkeana) in northern California, where losses of predators combined with marine heatwaves have led to shifts from kelp forest to sea urchin barren states. However, despite the &amp;gt;90% loss of bull kelp forests since 2014, some patches remain. Here, we investigate the bull kelp community assemblage in these remnant patches as well as the drivers of bull kelp forest resistance. We used a combination of in situ field surveys (years 2020–2022), remote sensing data (years 2016–2022), and a laboratory grazing experiment with urchins (Strongylocentrotus purpuratus). We found that, in addition to the two dominant states (kelp forest vs. urchin barren), there is a third community state dominated by understory canopy-forming macroalgae that stays subsurface. Moreover, bull kelp abundance and cover were positively associated with freshwater flow and proximity to freshwater sources, and bull kelp persistence was positively associated with sand cover, all of which seem to diminish sea urchin abundance and the negative effects of sea urchin herbivory on bull kelp. This was also shown in the laboratory experiment where sea urchin herbivory rates on bull kelp decreased with decreasing salinity. Overall, these results suggest that freshwater influence in shallow coastal environments could prevent loss of bull kelp and show that land–sea connections should be considered for species-specific management and conservation actions.</dc:description><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0n96v3zs</dc:identifier><dc:identifier>https://escholarship.org/content/qt0n96v3zs/qt0n96v3zs.pdf</dc:identifier><dc:identifier>info:doi/10.1002/ecy.70212</dc:identifier><dc:type>article</dc:type><dc:source>Ecology, vol 106, iss 0</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt95n493ph</identifier><datestamp>2026-07-31T08:43:38Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt95n493ph</dc:identifier><dc:title>Proteinaceous deep sea coral amino acid isotope records reveal climate-driven decadal-scale planktic ecosystem fluctuations</dc:title><dc:creator>Pugsley, Genevieve M.</dc:creator><dc:creator>Guilderson, Thomas P.</dc:creator><dc:creator>Glynn, Danielle S.</dc:creator><dc:creator>Shen, Yuan</dc:creator><dc:creator>McCarthy, Matthew D.</dc:creator><dc:date>2025-04-01</dc:date><dc:description>Decadal-scale climate variability drives important fluctuations in nutrient availability and productivity in highly productive eastern boundary current  pwelling ecosystems, but the relatively brief duration of most monitoring efforts limits understanding of these dynamics. When applied to high-resolution paleoarchives such as deep-sea proteinaceous coral skeletons, stable carbon and nitrogen isotope (δ13C and δ15N) analysis can provide useful new insight into biogeochemical and ecological changes beyond the instrumental record. However, interpretation of bulk δ13C and δ15N records is often complicated by multiple possible drivers of variability. Here, we addressed these challenges by applying both bulk and compound-specific amino acid δ15N and δ13C analysis to two bamboo coral specimens from Sur Ridge on the central California margin, generating sub-decadal resolution records spanning c. 1810 to present. Our overarching goals were to first test amino acid δ13C and δ15N proxies in proteinaceous deep-sea bamboo coral archives, and second to investigate links between climate forcing and biogeochemical responses on the California margin over the Anthropocene. Together, comparison of deep-sea coral amino acid trophic position results to local sediment traps and endmember mixing analysis indicate that bamboo coral feed directly on exported sinking particles, which are comprised primarily of zooplankton fecal pellets (&amp;gt;70 %). This new evidence contradicts some past work based on bulk δ15N analysis alone and validates bamboo coral as archives of euphotic zone processes. Amino acid δ15N proxies also reveal that trophic position, not baseline δ15N of nitrate or phytoplankton production, is the primary driver of bulk δ15N variability in these coral records from a highly-productive coastal upwelling environment. Our approximately 200-year reconstruction shows overall long-term ecosystem stability since the pre-industrial period, overlain by major multidecadal-scale fluctuations in bamboo coral trophic position and δ13C of primary production. Relatively high (low) trophic position and low (high) δ13C values of primary production occurred during negative (positive) phases of the Pacific Decadal Oscillation over the 20th century. Counter to expectations, these results suggest lower primary production likely occurred during past periods of high nitrate availability in our study region. Modern satellite chlorophyll-a observations corroborate this finding. We hypothesize that offshore transport and subduction of nutrients and phytoplankton and/or precipitation-mediated changes in iron availability may link climate variability and planktic ecosystem dynamics in this region.</dc:description><dc:subject>Deep Sea Coral</dc:subject><dc:subject>Bamboo Coral</dc:subject><dc:subject>Amino Acid Isotopes</dc:subject><dc:subject>California Current System</dc:subject><dc:subject>Pacific Decadal Oscillation</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/95n493ph</dc:identifier><dc:identifier>https://escholarship.org/content/qt95n493ph/qt95n493ph.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.gca.2025.02.018</dc:identifier><dc:type>article</dc:type><dc:source>Geochimica et Cosmochimica Acta, vol 394</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4210054s</identifier><datestamp>2026-07-31T08:43:36Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4210054s</dc:identifier><dc:title>Environment-driven trends in larval abundance predict fishery recruitment in two saltwater basses</dc:title><dc:creator>Jarvis Mason, Erica T.</dc:creator><dc:creator>Watson, Wiliam</dc:creator><dc:creator>Ward, Eric J.</dc:creator><dc:creator>Thompson, Andrew R.</dc:creator><dc:creator>Semmens, Brice X.</dc:creator><dc:date>2025-02-03</dc:date><dc:description>Environmental and biological factors influencing fish larvae can drive fishery cohort strength, yet larval abundance is typically a better indicator of spawning biomass. Under a changing ocean, studies that explore the relationships between environmental variables, larval abundance, and fishery recruitment remain valuable areas for ongoing research. We focus on a popular, recreational-only, multispecies saltwater bass fishery (genus Paralabrax) whose population status and recovery potential are uncertain. We resolved Paralabrax spp. larval data to species over a 54-year period (1963–2016) and used species distribution models to (i) generate and test species-specific standardized indices of larval abundance as indicators of adult stock status and fishery recruitment and (ii) evaluate long-term spatiotemporal trends in their population dynamics relative to environmental variables and climate forcing. Contrary to initial hypotheses, species-specific larval abundance predicted future catches, with higher recent larval abundances suggesting potential for fishery recovery. Temperature, zooplankton biomass, and isothermal depth were important predictors of bass larval abundance, indicating these variables could also be valuable for predicting fishery recruitment and anticipating population change. Our findings paint a path forward towards a more ecosystem-based fishery management approach for this important fishery and may serve as a template for data- or assessment-limited fisheries.</dc:description><dc:subject>ecosystem-based management</dc:subject><dc:subject>species distribution model</dc:subject><dc:subject>fishery recovery</dc:subject><dc:subject>sporadic recruitment</dc:subject><dc:subject>fishery recruitment</dc:subject><dc:subject>spawning stock biomass</dc:subject><dc:subject>environmental predictors</dc:subject><dc:subject>index of abundance</dc:subject><dc:subject>centre of gravity</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4210054s</dc:identifier><dc:identifier>https://escholarship.org/content/qt4210054s/qt4210054s.pdf</dc:identifier><dc:identifier>info:doi/10.1093/icesjms/fsae196</dc:identifier><dc:type>article</dc:type><dc:source>ICES Journal of Marine Science, vol 82, iss 2</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt2999k846</identifier><datestamp>2026-07-31T08:43:35Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt2999k846</dc:identifier><dc:title>Seasonal variation and response of surf zone fish assemblages to environmental variables in the Northeast Pacific</dc:title><dc:creator>Koval, Gammon N.</dc:creator><dc:creator>Dugan, Jenifer E.</dc:creator><dc:creator>Hamilton, Scott L.</dc:creator><dc:date>2026-10-01</dc:date><dc:description>Located at the land-sea interface, the highly dynamic sandy beach and surf zone ecosystem is one of the coastal zones used most intensely by humans (e.g., recreation, fishing, tourism). Surf zones are also important as fish habitat; however, the factors structuring fish assemblages in the surf zone are relatively understudied due to challenges associated with sampling this dynamic environment. To investigate temporal influences on surf zone fish communities, we evaluated seasonal trends in the fish assemblage and associations with environmental conditions using baited remote underwater video stations (BRUVS) at four beaches on the Northeast Pacific coast (California, USA) from July 2020 to June 2021. Our study region is characterized by strong seasonality in productivity (due to spring upwelling) and the wave climate (in response to winter storms), making it an ideal location for evaluating seasonal change in surf zone fish. We found that surf zone fish assemblages exhibited marked seasonality and site-to-site variability. Two species of surfperch (Amphistichus argenteus and A. koelzi) and leopard sharks (Triakis semifasciata) were more common in the winter and spring, corresponding with surfperch spawning, while flatfishes were more abundant in the summer. Fish species composition was most affected by distance from shore (as a proxy for surf zone width), visibility, water temperature, percent cover of combined macroalgae and surfgrass, and breaker wave height, with significant effects detected for distance from shore and breaker height. Fish species that exhibited higher abundance in the winter, including A. argenteus, A. koelzi, and T. semifasciata, were associated with larger waves and wider surf zones. Our results highlight the influence of seasonal variation in environmental conditions on fish communities in the dynamic, coastal surf zone ecosystem, with potential management implications for several highly abundant species targeted by recreational fisheries.</dc:description><dc:subject>Sandy beach</dc:subject><dc:subject>Fish community</dc:subject><dc:subject>Temporal variability</dc:subject><dc:subject>Environmental drivers</dc:subject><dc:subject>Surfperch</dc:subject><dc:subject>Elasmobranchs</dc:subject><dc:subject>Baited remote underwater video stations</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/2999k846</dc:identifier><dc:identifier>https://escholarship.org/content/qt2999k846/qt2999k846.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.csr.2025.105526</dc:identifier><dc:type>article</dc:type><dc:source>Continental Shelf Research, vol 298</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9th4f0w1</identifier><datestamp>2026-07-31T08:43:33Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9th4f0w1</dc:identifier><dc:title>Navigating Shallow Streams: Effects of Changing Stream Water Depths on Outmigration of Endangered Coho Salmon</dc:title><dc:creator>Kastl, Brian</dc:creator><dc:creator>Obedzinski, Mariska</dc:creator><dc:creator>Carlson, Stephanie M.</dc:creator><dc:creator>Pierce, Sarah Nossaman</dc:creator><dc:creator>van Docto, Mia M.</dc:creator><dc:creator>Skorko, Krysia W.</dc:creator><dc:creator>Flynn, Keane</dc:creator><dc:creator>Slaughter, Weston M.</dc:creator><dc:creator>Ruiz, Elizabeth</dc:creator><dc:creator>Grantham, Theodore E.</dc:creator><dc:date>2025-05-23</dc:date><dc:description>Declining streamflow from water management and climate change threatens fish migration. In coastal California, USA, we evaluated the effects of receding streamflow on the seaward migration of juvenile Coho Salmon (Oncorhynchus kisutch) in four streams over 10 years (2010–2020). We monitored the movement of juveniles tagged with passive integrated transponders and measured depths at riffle crest thalwegs (RCTs), the shallowest channel feature that fish must navigate. Each stream exhibited a unique relationship between RCT depth and flow, relating to its geomorphic characteristics, producing distinct ranges of water depths among streams. During the peak migration period, juveniles moved over a wide range of depths (interquartile range 5.8–19.2 cm), with greater depths occurring in wet years than in dry years. However, the depths at which fish were detected were significantly deeper than continuous, observed depth measurements during the same period. We found the greatest differences between depth-at-movement and observed depths when streams were shallowest (&amp;lt; 10th percentile of observed depths). The timing at which stream depths fell below a regional fish passage criterion (9.1 cm) was also significantly correlated with the end of juvenile migration. In dry years, we observed greater variation in migration timing among streams, highlighting stream-specific variation in the timing at which depths limit fish movement. Collectively, our study indicates that shallow depths impair salmon outmigration and that flow-RCT depth relationships can be used to assess flow needs for fish migration and to guide streamflow restoration.</dc:description><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9th4f0w1</dc:identifier><dc:identifier>https://escholarship.org/content/qt9th4f0w1/qt9th4f0w1.pdf</dc:identifier><dc:identifier>info:doi/10.1002/rra.4466</dc:identifier><dc:type>article</dc:type><dc:source>River Research and Applications, vol 41, iss 8</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8jj3b09s</identifier><datestamp>2026-07-31T08:43:32Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8jj3b09s</dc:identifier><dc:title>Juvenile life history, migration, and habitat use of natural-versus hatchery-origin Chinook Salmon</dc:title><dc:creator>Chen, Emily K.</dc:creator><dc:creator>Lumahan, Katherine</dc:creator><dc:creator>Johnson, Rachel C.</dc:creator><dc:creator>Phillis, Corey C.</dc:creator><dc:creator>Whitman, George</dc:creator><dc:creator>Sturrock, Anna M.</dc:creator><dc:creator>Satterthwaite, William H.</dc:creator><dc:creator>Carlson, Stephanie M.</dc:creator><dc:date>2025-06-17</dc:date><dc:description>Objectives
Our overall objective was to directly compare the early life history and migration patterns of hatchery- and natural-origin fish and determine when hatchery fish provide good surrogates for natural-origin winter-run Chinook Salmon Oncorhynchus tshawytscha in the Sacramento River system. Specifically, our objectives were to compare the juvenile freshwater habitat use, residence time in freshwater habitats, and size at age and relative growth of juveniles.

Methods
Using otoliths that were collected from adult carcasses, we reconstructed the freshwater life history of hatchery- and natural-origin fish through microstructural and chemical analyses. We analyzed the otolith strontium isotope chemistry and daily increment widths to characterize habitat use, migration timing, and growth.

Results
Following their hatchery-rearing period, hatchery fish had much shorter residence times (11 d, SD = 16 d) in the river than natural-origin fish (129 d, SD = 37 d). Beyond the reduced duration of river residence, hatchery fish occupied fewer areas of the watershed during ocean out-migration. Despite these differences in out-migration behaviors, adults from both groups reached saltwater during their downstream out-migration at similar sizes (natural-origin fish: 633 µm, SD = 68 µm; hatchery-origin fish: 625 µm, SD = 63 µm) and ages (natural-origin fish: 161 d old, SD = 20 d; hatchery-origin fish: 165 d old, SD = 22 d) as juvenile smolts.

Conclusions
Considering the differences in habitat use and timing between hatchery- and natural-origin fish is critical to avoiding bias when applying data that are collected from hatchery fish to manage and conserve natural populations. Explicitly considering the presence of winter-run Chinook Salmon in habitats beyond the migratory corridor during habitat management is needed to promote and enable the contribution of multiple life histories for productivity, resilience, and ultimately recovery.</dc:description><dc:subject>nonnatal rearing</dc:subject><dc:subject>otoliths</dc:subject><dc:subject>out-migration</dc:subject><dc:subject>Sacramento River</dc:subject><dc:subject>winter-run Chinook Salmon</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8jj3b09s</dc:identifier><dc:identifier>https://escholarship.org/content/qt8jj3b09s/qt8jj3b09s.pdf</dc:identifier><dc:identifier>info:doi/10.1093/tafafs/vnaf021</dc:identifier><dc:type>article</dc:type><dc:source>Transactions of the American Fisheries Society, vol 154, iss 4</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8q28686c</identifier><datestamp>2026-07-31T08:43:30Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8q28686c</dc:identifier><dc:title>Targeted and nontargeted approaches to uncover complex halogenated pollutants in the historically endangered California brown pelican</dc:title><dc:creator>Agas, A.N.</dc:creator><dc:creator>Stack, M.E.</dc:creator><dc:creator>Richardot, W.H.</dc:creator><dc:creator>Duerr, R.S.</dc:creator><dc:creator>Dodder, N.G.</dc:creator><dc:creator>Sant, K.E.</dc:creator><dc:creator>Hoh, E.</dc:creator><dc:date>2025-12-01</dc:date><dc:description>Historically, California brown pelicans experienced reproductive failure and population decline induced by the pesticide dichlorodiphenyltrichloroethane (DDT). Although the population recovered after the 1972 DDT ban, nontargeted analytical methods have identified over 45 DDT-related compounds (DDT+) and other typically unmonitored halogenated organic compounds (HOCs) in regional upper trophic level wildlife species, presumably originating from the persistent and chemically-complex DDT manufacturing waste deposited in the Southern California Bight (SCB). However, there is limited data on DDT+ in previously endangered bird populations, including the brown pelican. We identified 183 HOCs in seven brown pelican liver samples (131 ± 48, mean ± SD) via nontargeted analysis. Seventeen DDT+ compounds were identified, including four tris(4-chlorophenyl)methane (TCPM)-related compounds, and 17 polychlorinated terphenyls (PCTs), all of which were not assessed in prior pelican research. Quantitative targeted analysis was conducted for three classes: DDT+, polychlorinated biphenyls (PCB), and polybrominated diphenyl ethers (PBDE). Among these three classes, DDT+ was the dominant chemical class (∑13DDT+, 0.56–197 μg/g lw), followed by (∑14PCB, 0.24–96 μg/g lw), and (∑6PBDE, 0.01–5.61 μg/g lw). ∑13 DDT+ primarily consisted of p,p’-DDE (77 % ± 15 %), 4,4′,4″-TCPM (12 % ± 10 %), p,p’-DDMU (6 % ± 3 %), and 4,4′,4″-TCPMOH (5 % ± 6 %). These results demonstrate the continuous exposure of known historical HOCs and a chemically diverse set of under-monitored HOCs, including DDT+. Additionally, levels of detection are consistent with recent wildlife studies in the region, suggesting pervasive contamination of a unique profile of HOCs throughout the SCB food web.</dc:description><dc:subject>Halogenated organic compounds</dc:subject><dc:subject>Dichlorodiphenyltrichloroethane (DDT)</dc:subject><dc:subject>DDT+tris(4-chlorophenyl)methane (TCPM)</dc:subject><dc:subject>tris(4-chlorophenyl)methanol (TCPMOH)</dc:subject><dc:subject>GC×GC/TOF-MS</dc:subject><dc:subject>Southern California Bight</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8q28686c</dc:identifier><dc:identifier>https://escholarship.org/content/qt8q28686c/qt8q28686c.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.envpol.2025.127257</dc:identifier><dc:type>article</dc:type><dc:source>Environmental Pollution, vol 386</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt1cz1z3bd</identifier><datestamp>2026-07-31T08:43:29Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt1cz1z3bd</dc:identifier><dc:title>Management considerations for establishing a coastal acidification monitoring system from U.S. Coastal Acidification Networks</dc:title><dc:creator>Wright-Fairbanks, Elizabeth K.</dc:creator><dc:creator>Lord, Natalie</dc:creator><dc:creator>Dugan, Darcy</dc:creator><dc:creator>Goldsmith, Kaitlin</dc:creator><dc:creator>Hall, Emily R.</dc:creator><dc:creator>Harper, Alex</dc:creator><dc:creator>Reimer, Janet J.</dc:creator><dc:creator>Siedlecki, Samantha</dc:creator><dc:creator>Turner, Elizabeth J.</dc:creator><dc:creator>Vreeland-Dawson, Jennifer</dc:creator><dc:creator>Wakefield, Kirstin</dc:creator><dc:creator>Yates, Kimberly K.</dc:creator><dc:date>2025-08-07</dc:date><dc:description>Ocean acidification (OA), caused by the uptake of anthropogenic carbon dioxide, is a concern for ocean resource users in coastal regions where the phenomenon is compounded by variable processes. Sustained OA monitoring systems are critical for characterization of baseline ocean conditions and identification of changes and impacts to coastal ecosystems and communities. Establishing an OA monitoring network is best accomplished through iterative planning, sustained funding, and comprehensive understanding of the coastal system. This paper offers decision-making considerations for entities interested in establishing a local to regional scale OA observing system. Such considerations include which carbon system parameters can be measured in each system, which sensors and platforms will provide applicable information for interested partners, and best practices for observing data management. Because every region faces unique circumstances, we present context-specific examples of effective decision-making processes from established U.S. OA observing networks. These regional case studies offer information on specific scientific questions, observing techniques, and methodology employed to establish and manage OA observations in the coastal zone.</dc:description><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/1cz1z3bd</dc:identifier><dc:identifier>https://escholarship.org/content/qt1cz1z3bd/qt1cz1z3bd.pdf</dc:identifier><dc:identifier>info:doi/10.1007/s10661-025-14434-3</dc:identifier><dc:type>article</dc:type><dc:source>Environmental Monitoring and Assessment, vol 197</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt818367m9</identifier><datestamp>2026-07-31T08:43:27Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt818367m9</dc:identifier><dc:title>Characterizing morphology of Egregia menziesii (Laminariales) in California over 2 centuries using historical and contemporary herbarium specimens.</dc:title><dc:creator>Khen, Adi</dc:creator><dc:creator>Moore, Kai M.</dc:creator><dc:creator>Braybook, Siobhan A.</dc:creator><dc:creator>Vroom, Peter S.</dc:creator><dc:creator>Miller, Kathy Ann</dc:creator><dc:creator>Smith, Jennifer E.</dc:creator><dc:date>2025-12-03</dc:date><dc:description>The canopy-forming feather boa kelp Egregia menziesii exhibits remarkable morphological variability across its geographic range. Regional morphotypes of Egregia were once considered separate species, but they were not determined to be genetically distinct; instead, their morphology was thought to reflect local physical or environmental conditions. Although morphological variation in Egregia has long been observed and was previously characterized through field surveys in the early 2000s, we revisited this topic using digital morphometrics (i.e., image analysis) of 1624 macroalgal herbarium specimens from California dating back to the 19th century. We observed that the morphology of Egregia (rachis texture, lateral blade shape, and blade or pneumatocyst density) varied along a latitudinal gradient and could be predicted by seawater temperature and wave height. We also identified some region-specific morphological changes in recent decades. Further, the monthly presence or absence of sporophylls in southern-region specimens provided preliminary evidence into the reproductive phenology of Egregia. Herbarium collections are invaluable for studying patterns in morphology because they showcase inter- and intraspecific variability and establish a baseline for comparison through time. Integrating natural historical and contemporary data will be critical for understanding and predicting future trends in the context of ocean warming.</dc:description><dc:subject>feather boa kelp</dc:subject><dc:subject>herbarium</dc:subject><dc:subject>image analysis</dc:subject><dc:subject>intraspecific variability</dc:subject><dc:subject>macroalgae</dc:subject><dc:subject>morphology</dc:subject><dc:subject>natural history</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/818367m9</dc:identifier><dc:identifier>https://escholarship.org/content/qt818367m9/qt818367m9.pdf</dc:identifier><dc:identifier>info:doi/10.1111/jpy.70126</dc:identifier><dc:type>article</dc:type><dc:source>Journal of phycology, vol 62, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt216355c5</identifier><datestamp>2026-07-31T08:43:26Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt216355c5</dc:identifier><dc:title>First controlled out of season spawning for California yellowtail (Seriola dorsalis)</dc:title><dc:creator>Stuart, Kevin</dc:creator><dc:creator>Drawbridge, Mark</dc:creator><dc:date>2025-07-15</dc:date><dc:description>The ability to control egg production and have a consistent supply of high quality eggs is critical to the commercial success of any farmed marine finfish species. Here we describe the first documented controlled spawning of California yellowtail (CYT; Seriola dorsalis). The aim for this study was to shift volitional spawning six months ahead of when natural spawning typically occurs for the species using photothermal manipulation. Over the course of one year we tracked spawning for two sibling groups of F1 generation broodstock and recorded relevant metrics for all spawn events (egg production, viability), eggs (egg and oil diameters, hatch rates), and larvae (notochord length at hatch, yolk sac volume, survival to first feeding). The first group was subjected to natural day length and temperature conditions (Natural) and produced eggs from March through October in 2023. The second group had a shifted day length and temperature regime (Controlled) designed to stimulate spawning from October 2022 through April 2023. Egg production for both groups was similar, with the Natural group producing 37 spawns resulting in 25 million eggs (682,086 ± 299,821 eggs spawn−1), and the Controlled group producing 34 spawns resulting in 20 million eggs (604,825 ± 315,412 eggs spawn−1). Egg quality was also similar, with only hatch rate being different between the groups (Natural 48.8 ± 28.9 %; Controlled 75.1 ± 15.5 %). Through the control of temperature and day length, we demonstrated that CYT spawning can occur outside the natural spawning window and that achieving year round egg production is possible. This is an important step forward for commercial production of this high value marine finfish species.</dc:description><dc:subject>Seriola dorsalis</dc:subject><dc:subject>Out of season spawning</dc:subject><dc:subject>Egg production</dc:subject><dc:subject>Egg quality</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/216355c5</dc:identifier><dc:identifier>https://escholarship.org/content/qt216355c5/qt216355c5.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.aqrep.2025.102861</dc:identifier><dc:type>article</dc:type><dc:source>Aquaculture Reports, vol 42</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt02b0q6qq</identifier><datestamp>2026-07-31T08:43:24Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt02b0q6qq</dc:identifier><dc:title>Toward social-ecological indicator integration in managing oceans and coasts.</dc:title><dc:creator>Satterthwaite, Erin V.</dc:creator><dc:creator>Clay, Patricia M.</dc:creator><dc:creator>Seary, Rachel</dc:creator><dc:creator>Ramenzoni, Victoria C.</dc:creator><dc:creator>Wilson, Cassandra</dc:creator><dc:creator>Chory, Margaret</dc:creator><dc:creator>Rome, Nicholas</dc:creator><dc:creator>McLean, Kimberly Marshall</dc:creator><dc:date>2026-01-22</dc:date><dc:description>A holistic understanding of social-ecological systems is essential to foster resilient, adaptive, and sustainable marine ecosystems and human communities. Yet, the integration of social and ecological dimensions is still developing within natural resource management, as are the indicators necessary to monitor them. In this study, we assess the integration of social and ecological indicators in marine management through a case study exploring the use of and degree of linkage between social and ecological indicators in US federal environmental and ocean resource agencies. Using a survey, we collected indicator sets or reports developed by these US federal agencies and found that 7 out of 11 total reports contained both social and ecological indicators. Within those reports, there were 333 social indicators. Only 35% (116) of the social indicators could be directly linked to commonly monitored ecological indicators. Social-ecological connections were focused on many themes, including tourism and recreation, fishing and marine resource use, resilience of coastal communities, well-being, cultural/spiritual value, economic impact, environmental and resource management education, and participation in resource management. These results suggest that some integration of social and ecological indicators within the ocean and environmental-focused federal agencies in the US is occurring, but it is not widespread. Exploring and applying methods that facilitate the integration of social and ecological indicators is the next frontier in achieving management of the environment as a combined social-ecological system.</dc:description><dc:subject>ocean</dc:subject><dc:subject>social-ecological systems</dc:subject><dc:subject>sustainability</dc:subject><dc:subject>human dimensions</dc:subject><dc:subject>ocean observing systems</dc:subject><dc:subject>indicators</dc:subject><dc:subject>natural resource management</dc:subject><dc:subject>marine ecosystems</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/02b0q6qq</dc:identifier><dc:identifier>https://escholarship.org/content/qt02b0q6qq/qt02b0q6qq.pdf</dc:identifier><dc:identifier>info:doi/10.1093/icesjms/fsaf147</dc:identifier><dc:type>article</dc:type><dc:source>ICES Journal of Marine Science, vol 83, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt5301n922</identifier><datestamp>2026-07-31T08:43:23Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt5301n922</dc:identifier><dc:title>The essential role of large research vessels in marine ecosystem observations and ocean sustainability.</dc:title><dc:creator>Satterthwaite, Erin V.</dc:creator><dc:creator>Field, John C.</dc:creator><dc:creator>Fassbender, Andrea J.</dc:creator><dc:creator>Aceves-Medina, Gerardo</dc:creator><dc:creator>Bograd, Steven J.</dc:creator><dc:creator>Hazen, Elliot L.</dc:creator><dc:creator>Patin, Nastassia V.</dc:creator><dc:creator>Gold, Zachary</dc:creator><dc:creator>Barbeau, Katherine A.</dc:creator><dc:creator>Kinkade, Danie</dc:creator><dc:creator>Shepherd, Adam</dc:creator><dc:creator>Swalethorp, Rasmus</dc:creator><dc:creator>Thompson, Andrew R.</dc:creator><dc:creator>Ruhl, Henry A.</dc:creator><dc:creator>Semmens, Brice</dc:creator><dc:date>2025-07-29</dc:date><dc:description>Our understanding of marine ecosystems and ability to manage them sustainably has come from multidisciplinary observations made repeatedly over long periods of time. These long-term ecosystem observations depend on the capabilities of large research vessels, which play an essential role in the collection of global ocean observations. Research vessels serve as large, stable platforms for collecting high volume samples from the surface to the seafloor that provide uniquely valuable in situ marine ecosystem information. Additionally, they serve as mobile laboratories enabling the collection, preservation, processing, and analysis of unique samples and data, such as chemical, biogeochemical, and biological parameters. Given their capacity for, and repeated use in, collecting comprehensive marine ecosystem observations—across geology, physics, chemistry, and biology—large research vessels provide insight into long-term regional ecosystem dynamics. They also act as platforms-of-opportunity for testing, refining, and comparing technologies, enabling innovation and the evolution of the observing system. High-quality observations from large research vessels serve as the backbone for many other components of the global ocean observing system through their use in calibrating autonomous sensors and predictive modeling. Moreover, large research vessels function as mobile, experiential training and exploration platforms that facilitate discovery, education, and collaboration. An effective, modular marine ecosystem observing system will depend on large research vessels to sustain and augment existing observing programs and to deploy, service, and validate the growing array of autonomous platforms that contribute to it. Achieving this vision will likely require maintaining and upgrading ship-based infrastructure and personnel, integrating emerging technologies, leveraging the unique capabilities of large research vessels in conjunction with other platforms, strengthening collaborative partnerships, and building social capital for marine ecosystem observations through training, knowledge sharing, and effective governance.</dc:description><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/5301n922</dc:identifier><dc:identifier>https://escholarship.org/content/qt5301n922/qt5301n922.pdf</dc:identifier><dc:identifier>info:doi/10.1002/lno.70110</dc:identifier><dc:type>article</dc:type><dc:source>Association for the Sciences of Limnology and Oceanography, vol 70, iss 9</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0vq4q9qk</identifier><datestamp>2026-07-31T08:43:21Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0vq4q9qk</dc:identifier><dc:title>Mobilizing ocean observations for marine ecosystem sustainability and resilience: A case study of the California Cooperative Oceanic Fisheries Investigations (CalCOFI)</dc:title><dc:creator>Satterthwaite, Erin Vera</dc:creator><dc:creator>Best, Ben</dc:creator><dc:creator>Swalethorp, Rasmus</dc:creator><dc:creator>Semmens, Brice</dc:creator><dc:creator>Gold, Mark</dc:creator><dc:date>2026-02-26</dc:date><dc:description>The ocean is rapidly changing through warming, sea-level rise, ocean acidification, declining oxygen concentrations, and altered circulation patterns, which are reshaping marine ecosystems worldwide. These changes necessitate a complete and holistic view of affected marine ecosystems. Long-term ocean monitoring programs are crucial for understanding these changes and guiding sustainable management. The California Cooperative Oceanic Fisheries Investigations (CalCOFI)*1, initiated in 1949, is one of the world's longest-running and most comprehensive marine ecosystem observing programs. CalCOFI collects extensive ocean data across all Essential Ocean Variables in the Southern California Current four times a year (Gallo et al. 2022). This encompasses over 36 physical and chemical parameters, 2,500 biological parameters, and 50,000 environmental DNA sequences, measured simultaneously (Satterthwaite et al. 2025). These data have illuminated long-term ecosystem patterns, supported marine management, and enhanced our understanding of how climate variability and change impact the California Current. Given its long history and collaborative nature, CalCOFI's data are fragmented across more than 30 disparate datasets, managed by different entities, served in various locations, with inconsistent naming and limited integration (Fig. 1), which hinders a holistic ecosystem understanding. Thus, CalCOFI exemplifies similar challenges and opportunities of mobilizing and integrating ocean data on a global scale.</dc:description><dc:subject>data integration</dc:subject><dc:subject>data accessibility</dc:subject><dc:subject>metadata</dc:subject><dc:subject>ecosystem monitoring</dc:subject><dc:subject>California Current</dc:subject><dc:subject>long-term ocean observing</dc:subject><dc:subject>marine ecosystems</dc:subject><dc:subject>oceanographic data</dc:subject><dc:subject>larval fish</dc:subject><dc:subject>ichthyoplankton</dc:subject><dc:subject>ocean change</dc:subject><dc:subject>marine management</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0vq4q9qk</dc:identifier><dc:identifier>https://escholarship.org/content/qt0vq4q9qk/qt0vq4q9qk.pdf</dc:identifier><dc:identifier>info:doi/10.3897/biss.10.183710</dc:identifier><dc:type>article</dc:type><dc:source>Biodiversity Information Science and Standards</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9br147d4</identifier><datestamp>2026-07-31T08:43:20Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9br147d4</dc:identifier><dc:title>Lessons learned from the PICES FUTURE Program on development of an interdisciplinary international science program to advance ocean sustainability.</dc:title><dc:creator>Takemura, Shion</dc:creator><dc:creator>Na, Hanna</dc:creator><dc:creator>Boldt, Jennifer L.</dc:creator><dc:creator>Bograd, Steven J.</dc:creator><dc:creator>Hasegawa, Daisuke</dc:creator><dc:creator>Hunter, Karen L.</dc:creator><dc:creator>Kang, Sukyung</dc:creator><dc:creator>Katugin, Oleg N.</dc:creator><dc:creator>Kim, Saeseul</dc:creator><dc:creator>Lobanov, Vyacheslav B.</dc:creator><dc:creator>Di Lorenzo, Emanuele</dc:creator><dc:creator>Mazur, Mackenzie</dc:creator><dc:creator>Oyaizu, Hitomi</dc:creator><dc:creator>Qiao, Fangli</dc:creator><dc:creator>Rykaczewski, Ryan R.</dc:creator><dc:creator>Satterthwaite, Erin V.</dc:creator><dc:creator>Seo, Seongbong</dc:creator><dc:creator>Sun, Chengjun</dc:creator><dc:creator>Therriault, Thomas W.</dc:creator><dc:creator>Makino, Mitsutaku</dc:creator><dc:date>2025-09-05</dc:date><dc:description>Interdisciplinary international science programs that combine environmental, ecological, and social research are pivotal in advancing ocean sustainability by integrating diverse expertise and fostering collaboration across borders. We examine the evolution and accomplishments of the North Pacific Marine Science Organization’s (PICES) Forecasting and Understanding Trends, Uncertainty and Responses of North Pacific Ecosystems (FUTURE) Program, designed to understand and communicate the future of North Pacific ecosystems under various natural and anthropogenic forces. The program’s unique application of the North Pacific Social-Ecological-Environmental Systems (SEES) framework has aimed to facilitate interdisciplinary collaboration and enhance our comprehension of ecosystem responses to climate variability. Through a combination of systematic review and quantitative text analysis of research outputs, we evaluate the program’s success in addressing its scientific objectives, and identify key areas for future research. Our findings highlight significant shifts in PICES’ research focus over time, evolving from basic marine science to applied ecosystem management. We also discuss the challenges faced in understanding ecosystem resilience, the impact of human activities, and the effectiveness of interdisciplinary approaches in advancing ocean sustainability. The lessons learned from the first two phases of the FUTURE Program (2010–2020) provide valuable insights for planning and executing large-scale international science initiatives aimed at enhancing ocean sustainability and addressing global climate variability.</dc:description><dc:subject>ocean sustainability</dc:subject><dc:subject>interdisciplinary</dc:subject><dc:subject>PICES FUTURE Program</dc:subject><dc:subject>ecosystem resilience</dc:subject><dc:subject>SEES framework</dc:subject><dc:subject>environmental change</dc:subject><dc:subject>human dimension</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9br147d4</dc:identifier><dc:identifier>https://escholarship.org/content/qt9br147d4/qt9br147d4.pdf</dc:identifier><dc:identifier>info:doi/10.1093/icesjms/fsaf145</dc:identifier><dc:type>article</dc:type><dc:source>ICES Journal of Marine Science, vol 82, iss 9</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt9sc8x6r0</identifier><datestamp>2026-07-31T08:43:18Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt9sc8x6r0</dc:identifier><dc:title>Global priorities for ocean sustainability from Early Career Ocean Professionals.</dc:title><dc:creator>Satterthwaite, Erin V.</dc:creator><dc:creator>Robbins, Matthew</dc:creator><dc:creator>Crespo, Guillermo Ortuño</dc:creator><dc:creator>Puskic, Peter S.</dc:creator><dc:creator>Giddens, Jonatha</dc:creator><dc:creator>Kostianaia, Evgeniia</dc:creator><dc:creator>Giron-Nava, Alfredo</dc:creator><dc:creator>Elsler, Laura G.</dc:creator><dc:creator>Rguez-Baron, Juan M.</dc:creator><dc:creator>Brodnicke, Ole Bjørn</dc:creator><dc:date>2024-12-05</dc:date><dc:description>Intergenerational diversity is central to achieving long-term ocean sustainability. As such, one of the main goals and challenges in the UN Decade of Ocean Science for Sustainable Development (2021–2030) is fostering engagement and leadership across career stages and from diverse sectors. To understand the knowledge and professional development needs of the next generation, we surveyed the perspectives of 1344 Early Career Ocean Professionals (ECOPs) across 108 countries and territories. We assess the survey results, reflect on what has been done to address these needs halfway through the Ocean Decade, and suggest areas to further progress. We found that climate change and its social and ecological impacts are the unifying topical priority for ECOPs globally. ECOPs called for support and access to professional development. Despite progress in many initiatives, enhanced opportunities for collaboration across disciplines and sectors, mentorship and professional development, knowledge and resource-sharing across regions, inclusion in decision-making and policy processes, and support for socially impactful and applied research require further attention. In addition, the survey responses indicated that access to funding, infrastructure, and ocean science tools was not equitably distributed globally, with the need to prioritize the ECOPs in the Global South and island nations and states. The results from this global survey serve as a foundational step to reflect upon and continue to co-design and deliver a collective vision for ocean sustainability involving the next generation of ocean leaders throughout the second half of the UN Decade of Ocean Science for Sustainable Development and beyond.</dc:description><dc:subject>ocean sustainability</dc:subject><dc:subject>intergenerational diversity</dc:subject><dc:subject>early career ocean professionals</dc:subject><dc:subject>ocean decade</dc:subject><dc:subject>SDG 14</dc:subject><dc:subject>professional development</dc:subject><dc:subject>knowledge exchange</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/9sc8x6r0</dc:identifier><dc:identifier>https://escholarship.org/content/qt9sc8x6r0/qt9sc8x6r0.pdf</dc:identifier><dc:identifier>info:doi/10.1093/icesjms/fsae201</dc:identifier><dc:type>article</dc:type><dc:source>ICES Journal of Marine Science, vol 82, iss 1</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt0kc0z8g7</identifier><datestamp>2026-07-31T08:43:17Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt0kc0z8g7</dc:identifier><dc:title>The cross-cutting role of Ocean Decade Challenge 7 in achieving a sustainable and resilient global ocean observing system</dc:title><dc:creator>O'Callahan, Joanne</dc:creator><dc:creator>Miloslavich, Patricia</dc:creator><dc:creator>Lorenzoni, Laura</dc:creator><dc:creator>Satterthwaite, Erin</dc:creator><dc:creator>Rome, Nicholas</dc:creator><dc:creator>Schloss, Irene</dc:creator><dc:creator>Heupel, Michelle</dc:creator><dc:creator>Elegbede, Isa O.</dc:creator><dc:creator>Fontela, Marcos</dc:creator><dc:date>2025-04-07</dc:date><dc:description>With more than 90% of global warming occurring in the ocean, sea level rise doubling in the past 30 years, and the ever-increasing frequency and intensity of extreme events, ocean observations are essential for understanding and addressing some of these most pressing global challenges. Known observational needs can be addressed immediately by upgrading and expanding ocean observing capacity in under-observed areas such as polar regions, island nations and territories, coastal areas of developing countries, rapidly changing coastal systems, and the deep ocean. Enhancing existing and developing new cost-effective technologies for a range of user needs to maximize the reach of essential observations, supported by standardization and best practices for interoperability. Improved spatial and temporal coverage is urgently needed but also needs to be co-designed and fit-for-purpose. Democratizing access to ocean data and integrating artificial intelligence and machine learning into data pipelines can help unlock existing observational datasets into societally relevant, user-ready information. Recognizing that ocean observations are essential to the planet’s health is a critical cultural shift we must embrace in the next decade. Join us—individuals, organizations, governments, and communities—in turning this vision into action to ensure a sustainable and resilient ocean for future generations.</dc:description><dc:subject>global ocean observing</dc:subject><dc:subject>technology and innovation</dc:subject><dc:subject>capacity building</dc:subject><dc:subject>new economic thinking</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/0kc0z8g7</dc:identifier><dc:identifier>https://escholarship.org/content/qt0kc0z8g7/qt0kc0z8g7.pdf</dc:identifier><dc:identifier>info:doi/10.1093/icesjms/fsaf079</dc:identifier><dc:type>article</dc:type><dc:source>ICES Journal of Marine Science, vol 82, iss 7</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt56v4q6vg</identifier><datestamp>2026-07-31T08:43:15Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt56v4q6vg</dc:identifier><dc:title>Regional governance solutions for sea-level rise adaptation: Perspectives from Humboldt Bay, California.</dc:title><dc:creator>Orth-Gordinier, Kristen</dc:creator><dc:creator>Richmond, Laurie</dc:creator><dc:date>2025-04-11</dc:date><dc:description>Sea-level rise (SLR) is a complex challenge which could require the development of new special-purpose governance arrangements that allow for better coordination across jurisdictions and levels. This paper explores perspectives related to regional coordination for SLR adaptation in Humboldt Bay, California. Humboldt Bay is experiencing one of the fastest rates of SLR on the West Coast and exists in a complex regulatory environment with over 20 government entities, three Tribes, and numerous community members and groups connected to the issue. Through a mixed-methods approach that included 46 semi-structured interviews with and a survey of 107 coastal professionals connected to the Bay, we sought to capture local perspectives related to the barriers and opportunities for SLR adaptation, potential regional governance solutions for SLR, and the incorporation of community and equity considerations into SLR planning. Respondents identified several barriers including competing priorities and timelines, ineffective communication, lack of funding and capacity, and the strictness and inflexibility of environmental regulations and permitting processes. There was near universal agreement among respondents that some form of regional coordination on SLR was necessary, but views on the best governance framework were murkier. There was most support for establishing a formal collaborative partnership among local government entities and least support for creating a new authority with concerns that it could siphon time and funding and create an additional layer of bureaucracy. Most respondents preferred the planning authority to be under shared local and state control and preferred coordination to occur on a bay-wide scale, perhaps nested with planning at other scales. Respondents consistently brought up a need for a neutral facilitator to support coordination and they indicated a need to better incorporate community engagement and equity considerations. Findings reveal that development of novel arrangements related to climate governance needs careful consideration as there are potential advantages and drawbacks to new approaches. Development of these frameworks should not be a top-down process foisted upon local areas, but rather be a more bottom-up process designed and led by local actors with a stake or jurisdiction in the specific climate planning process.</dc:description><dc:subject>Sea-level rise</dc:subject><dc:subject>Climate governance</dc:subject><dc:subject>Multi-level governance</dc:subject><dc:subject>Regional coordination</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/56v4q6vg</dc:identifier><dc:identifier>https://escholarship.org/content/qt56v4q6vg/qt56v4q6vg.pdf</dc:identifier><dc:identifier>info:doi/10.1016/j.envsci.2025.104053</dc:identifier><dc:type>article</dc:type><dc:source>Environmental Science &amp; Policy, vol 168</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt4rb6d75b</identifier><datestamp>2026-07-31T08:43:14Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt4rb6d75b</dc:identifier><dc:title>Fisheries of the Middle: Building collaborations between seafood and agriculture to revitalize and enhance mid-scale food production.</dc:title><dc:creator>Richmond, Laurie</dc:creator><dc:creator>Culver, Carolynn</dc:creator><dc:creator>Pomeroy, Carrie</dc:creator><dc:creator>Mangubat, Mary</dc:creator><dc:creator>Meusborn, Erik</dc:creator><dc:creator>Todd, Andrew</dc:creator><dc:creator>Vellis, Ashley</dc:creator><dc:creator>Kenney, Megan</dc:creator><dc:creator>Hall-Arber, Madeleine</dc:creator><dc:creator>Miller, Emily</dc:creator><dc:creator>Neumann, Anna</dc:creator><dc:creator>Reser, Aaron</dc:creator><dc:creator>Saraspe, Tanner</dc:creator><dc:creator>Talley, Theresa S.</dc:creator><dc:creator>Winterstein, Connie</dc:creator><dc:date>2026-01-26</dc:date><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/4rb6d75b</dc:identifier><dc:identifier>https://escholarship.org/content/qt4rb6d75b/qt4rb6d75b.pdf</dc:identifier><dc:identifier>info:doi/10.3389/fsufs.2025.1679689</dc:identifier><dc:type>article</dc:type><dc:source>Frontiers in Sustainable Food System, vol 9</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt8828m8br</identifier><datestamp>2026-07-31T08:43:12Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt8828m8br</dc:identifier><dc:title>Variation in Salmon Migration Phenology Bolsters Population Stability but Is Threatened by Drought</dc:title><dc:creator>Baker, Henry K.</dc:creator><dc:creator>Obedzinski, Mariska</dc:creator><dc:creator>Grantham, Theadore E.</dc:creator><dc:creator>Carlson, Stephanie M.</dc:creator><dc:date>2025-02-23</dc:date><dc:description>Intrapopulation variation in movement is common in nature but its effects on population dynamics are poorly understood. Using movement data from 3270 individually-marked fish representing nine cohorts of coho salmon (Oncorhynchus kisutch) in California, we show that bimodal intrapopulation variation in the timing of juvenile down-migration from their natal habitat and subsequent residence in non-natal habitat affects growth, emigration timing, and the abundance and stability of adult returns. Non-natal fish (early down-migrants) exhibited more variable growth and more variable but earlier emigration to the estuary than natal fish (late down-migrants). While natal rearing was more common, non-natal fish were overrepresented among adult returns, and total returns were 1.4 times more stable than natal returns alone. Our results demonstrate that variation in migratory behaviour bolsters population stability. However, non-natal rearing is reduced in low water years, suggesting that drought exacerbates population instability by reducing critical intrapopulation variation.</dc:description><dc:subject>JUVENILE COHO SALMON LONG-DISTANCE MIGRANTS CHINOOK SALMON ONCORHYNCHUS-KISUTCHSTATISTICAL INEVITABILITY OFF-CHANNEL SURVIVAL GROWTH RIVER DIVERSITY</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/8828m8br</dc:identifier><dc:identifier>https://escholarship.org/content/qt8828m8br/qt8828m8br.pdf</dc:identifier><dc:identifier>info:doi/10.1111/ele.70081</dc:identifier><dc:type>article</dc:type><dc:source>Ecology Letters, vol 28, iss 2</dc:source></oai_dc:dc></metadata></record><record><header><identifier>oai:escholarship.org:ark:/13030/qt61w5c0n2</identifier><datestamp>2026-07-31T08:43:10Z</datestamp></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>qt61w5c0n2</dc:identifier><dc:title>Risky main stems are a poorly understood constraint on salmon recovery in coastal California rivers</dc:title><dc:creator>Rossi, Gabriel J.</dc:creator><dc:creator>Horton, Gregg E.</dc:creator><dc:creator>Shaffer, Jason T.</dc:creator><dc:creator>Georgakakos, Philip B.</dc:creator><dc:creator>Loomis, Christopher</dc:creator><dc:creator>Obedzinski, Mariska</dc:creator><dc:date>2025-11-04</dc:date><dc:description>Objective: Investment in salmon habitat restoration often focuses on natal streams, with a goal of improving access for spawning fish and increasing early life survival of juveniles. This work is justified by a large body of research; however, return on investment in natal streams (at least in terms of increased adult abundance) has, so far, been marginally successful at best. The factors that constrain salmon populations may shift in space and time, and accurately tracking these constraints requires monitoring the full spatial and temporal scope of the salmon life cycle. In particular, juvenile salmon emigration through main-stem rivers to the ocean is not well studied and is poorly understood. Low emigration survival can prevent successful upstream habitat restoration from being realized as increased adult recruitment.
Methods: We present acoustic telemetry studies from two coastal California rivers to estimate seaward emigration survival of Coho Salmon Oncorhynchus kisutch from their natal streams. We contrast emigration survival with other life stages and with relative restoration investment in main-stem rivers.
Results: In both watersheds, survival was low and highly variable across years. Main-stem river segments had the lowest survival, and survival was lower for migrants that traveled greater lengths in risky main stems. Main-stem emigration occurred over a very short time span, yet survival was similar to or lower than that of other juvenile freshwater life stages (e.g., oversummer and overwinter survival), which occur over much longer time spans. We also found that later emigrants had lower survival than earlier emigrants in both rivers. A summary of restoration investment in both watersheds indicates that much less planning and restoration implementation is occurring in main-stem rivers than in small natal streams.
Conclusions: Taken together, our results suggest that juvenile emigration success is likely an important constraint on salmon population recovery. Greater understanding of and greater investment in main-stem rivers are sorely needed.</dc:description><dc:subject>acoustic telemetry</dc:subject><dc:subject>animal migration</dc:subject><dc:subject>life cycle modeling</dc:subject><dc:subject>salmon recovery</dc:subject><dc:subject>salmon survival</dc:subject><dc:subject>watershed restoration</dc:subject><dc:format>application/pdf</dc:format><dc:rights>public</dc:rights><dc:publisher>eScholarship, University of California</dc:publisher><dc:identifier>https://escholarship.org/uc/item/61w5c0n2</dc:identifier><dc:identifier>https://escholarship.org/content/qt61w5c0n2/qt61w5c0n2.pdf</dc:identifier><dc:identifier>info:doi/10.1093/najfmt/vqaf095</dc:identifier><dc:type>article</dc:type><dc:source>North American Journal of Fisheries Management, vol 45, iss 6</dc:source></oai_dc:dc></metadata></record><resumptionToken expirationDate="2026-08-02T06:23:24Z" cursor="0" completeListSize="560402">oai_dc::500:560402:eyJmaXJzdCI6NTAwLCJiZWZvcmUiOiIyMDI2LTA3LTMxVDIzOjIyOjM3KzAwOjAwIiwiYWZ0ZXIiOiIyMDExLTAzLTE4VDE0OjMyOjQyKzAwOjAwIiwiaW5jbHVkZSI6WyJQVUJMSVNIRUQiLCJFTUJBUkdPRUQiXSwib3JkZXIiOiJVUERBVEVEX0RFU0MiLCJsYXN0SUQiOiJxdDYxdzVjMG4yIiwibGFzdERhdGUiOiIyMDI2LTA3LTMxVDA4OjQzOjEwKzAwOjAwIn0</resumptionToken></ListRecords></OAI-PMH>