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Open Access Publications from the University of California

Scholarly Works (11 results)

  • Thesis
  • Peer Reviewed
UC Berkeley Electronic Theses and Dissertations (2015)

Every January and June, the most exclusive and influential sector of the global apparel industry stages a series of runway shows in the high fashion, or, couture capitals of New York, Milan, London and Paris. This dissertation explores the production of material goods and cultural ideals in contemporary couture, drawing on scholarly and anecdotal accounts of the business of couture clothes as well as the business of couture models to understand the disquieting success of marketing luxury goods through bodies that appear to signify both extreme wealth and extreme privation. This dissertation argues that the contemporary couture industry idealizes a mode of violence that is unique in couture’s history. The industry’s shift of emphasis toward the mass market in the late 20th-century entailed divestments in the integrity of garment production and modeling employment. Contemporary couture clothes and models are promoted as high-value objects, belying however a material impoverishment that can be read from the models’ physiques and miens.

  • 4 supplemental images
Cover page: Model Commodities: Gender and Value in Contemporary Couture
  • Thesis
  • Peer Reviewed
UCLA Electronic Theses and Dissertations (2021)

Robots capable of robust, real-time recognition of human intent during manipulationtasks could be used to enhance human-robot collaboration for innumerable applications. Eye gaze-based control interfaces offer a non-invasive way to infer intent and reduce the cognitive burden on operators of complex robots. Eye gaze is traditionally used for “gaze triggering” (GT) in which staring at an object, or sequence of objects, triggers pre-programmed robotic movements. Our long-term objective is to leverage eye gaze as an intuitive way to infer human intent, advance action recognition for shared autonomy control, and enable seamless human-robot collaboration not yet possible with state-of-the-art gaze-based methods. In Study #1, we identified features from 3D gaze behavior for use by machine learning classifiers of action recognition. We investigated gaze behavior and gaze-object interactions as participants performed the bimanual activity of preparing a powdered drink. We generated 3D gaze saliency maps and used characteristic gaze object sequences to demonstrate an action recognition algorithm. In Study #2, we introduced a classifier for recognizing action primitives, which we defined as triplets having a verb, “target object,” and “hand object.” Using novel 3D gaze-related features, a recurrent neural network was trained to recognize a verb and target object. The gaze object angle and its rate of change enabled accurate recognition and a reduction in the observational latency of the classifier. Using a non-specific approach to indexing objects, we demonstrated modest generalizability of the classifier across activities. In Study #3, we introduced a neural network-based “action prediction” (AP) mode into a shared autonomy framework capable of 3D gaze reconstruction, real-time intent recognition, object localization, obstacle avoidance, and dynamic trajectory planning. Upon extracting gaze-related features, the AP model recognized, and often predicted, the operator’s intended action primitives. The AP control mode often preferred over a state-of-the-art GT mode, enabled more seamless human-robot collaboration. In summary, we developed machine learning-based action recognition methods using novel 3D gaze-related features to enhance the shared autonomy control of robot manipulators. Our methods can serve as a foundation for further enhancement with complementary sensory feedback such as computer vision and tactile sensing.

    Cover page: Eye Gaze-based Approaches to Recognize Human Intent for Shared Autonomy Control of Robot Manipulators
    • Article
    • Peer Reviewed
    UCLA Previously Published Works (2020)
    The functional independence of individuals with upper limb impairment could be enhanced by teleoperated robots that can assist with activities of daily living. However, robot control is not always intuitive for the operator. In this work, eye gaze was leveraged as a natural way to infer human intent and advance action recognition for shared autonomy control schemes. We introduced a classifier structure for recognizing low-level action primitives that incorporates novel three-dimensional gaze-related features. We defined an action primitive as a triplet comprised of a verb, target object, and hand object. A recurrent neural network was trained to recognize a verb and target object, and was tested on three different activities. For a representative activity (making a powdered drink), the average recognition accuracy was 77% for the verb and 83% for the target object. Using a non-specific approach to classifying and indexing objects in the workspace, we observed a modest level of generalizability of the action primitive classifier across activities, including those for which the classifier was not trained. The novel input features of gaze object angle and its rate of change were especially useful for accurately recognizing action primitives and reducing the observational latency of the classifier.
      Cover page: Toward Shared Autonomy Control Schemes for Human-Robot Systems: Action Primitive Recognition Using Eye Gaze Features
      • Article
      • Peer Reviewed
      UCLA Previously Published Works (2018)
      Human-robot collaboration could be advanced by facilitating the intuitive, gaze-based control of robots, and enabling robots to recognize human actions, infer human intent, and plan actions that support human goals. Traditionally, gaze tracking approaches to action recognition have relied upon computer vision-based analyses of two-dimensional egocentric camera videos. The objective of this study was to identify useful features that can be extracted from three-dimensional (3D) gaze behavior and used as inputs to machine learning algorithms for human action recognition. We investigated human gaze behavior and gaze-object interactions in 3D during the performance of a bimanual, instrumental activity of daily living: the preparation of a powdered drink. A marker-based motion capture system and binocular eye tracker were used to reconstruct 3D gaze vectors and their intersection with 3D point clouds of objects being manipulated. Statistical analyses of gaze fixation duration and saccade size suggested that some actions (pouring and stirring) may require more visual attention than other actions (reach, pick up, set down, and move). 3D gaze saliency maps, generated with high spatial resolution for six subtasks, appeared to encode action-relevant information. The "gaze object sequence" was used to capture information about the identity of objects in concert with the temporal sequence in which the objects were visually regarded. Dynamic time warping barycentric averaging was used to create a population-based set of characteristic gaze object sequences that accounted for intra- and inter-subject variability. The gaze object sequence was used to demonstrate the feasibility of a simple action recognition algorithm that utilized a dynamic time warping Euclidean distance metric. Averaged over the six subtasks, the action recognition algorithm yielded an accuracy of 96.4%, precision of 89.5%, and recall of 89.2%. This level of performance suggests that the gaze object sequence is a promising feature for action recognition whose impact could be enhanced through the use of sophisticated machine learning classifiers and algorithmic improvements for real-time implementation. Robots capable of robust, real-time recognition of human actions during manipulation tasks could be used to improve quality of life in the home and quality of work in industrial environments.
        Cover page: Exploiting Three-Dimensional Gaze Tracking for Action Recognition During Bimanual Manipulation to Enhance Human–Robot Collaboration
        • Article
        • Peer Reviewed
        UC Berkeley Previously Published Works (2024)
        The past decade has witnessed great progress in predicting and synthesizing polyhydrides that exhibit superconductivity under pressure. Dopants allow these compounds to become metals at pressures lower than those required to metallize elemental hydrogen. Here, we show that by combining the fundamental planetary building blocks of molecular hydrogen and ammonia, conventional superconducting compounds can be formed at high pressure. Through extensive theoretical calculations, we predict metallic metastable structures with NHn (n = 10, 11, 24) stoichiometries that are based on NH4+ superalkali cations and complex hydrogenic lattices. The hydrogen atoms in the molecular cation contribute to the superconducting mechanism, and the estimated superconducting critical temperatures, Tc's, are comparable to the highest values computed for the alkali metal polyhydrides. The largest calculated (isotropic Eliashberg) Tc is ∼180 K for Pnma-NH10 at 300 GPa. Our results suggest that other molecular cations can be mixed with hydrogen under pressure, yielding superconducting compounds.
          Cover page: Superconductivity in Dilute Hydrides of Ammonia under PressureCreative Commons 'BY' version 4.0 license
          • Article
          • Peer Reviewed
          UCLA Previously Published Works (2022)
          OBJECTIVES: To determine whether experiences of off-the-job training in domestic (DT) and overseas study (OS) settings are associated with work performance and work-family conflict in physicians. DESIGN, SETTING AND PARTICIPANTS: We conducted a national cross-sectional survey in 77 public hospitals across seven provinces in China between July 2014 and April 2015. Participants were 3182 physicians. EXPOSURE: Participants were categorised into four groups: none, DT only, OS only and DT and OS. PRIMARY OUTCOME MEASURES: Work performance was assessed by work engagement, career attrition and patient-centred care. Work-family conflict was assessed by affecting care for family, feeling guilty towards family and receiving complaints from family. RESULTS: A total of 25.89% participants had experienced DT only, 8.71% OS only and 8.47% DT and OS. After adjustment for potential confounders, participants who had experiences of DT and OS compared with those with no training were more likely to report positive work performance (pride in work: OR=2.11, 95% CI: 1.43 to 3.10; enjoyment of work: OR=1.67, 95% CI: 1.11 to 2.51; turnover intention: OR=0.54, 95% CI: 0.38 to 0.77; early retirement: OR=0.63, 95% CI: 0.45 to 0.89; and exhaustion: OR=0.66, 95% CI: 0.45 to 0.98) and less work-family conflicts (feeling guilty towards family: OR=0.51, 95% CI: 0.35 to 0.74; and complaints from family: OR=0.66, 95% CI: 0.47 to 0.91). We found no obvious association between DT/OS experience with patient-centred care. CONCLUSIONS: Physicians with DT and OS experiences are more likely to have better work performance and less work-family conflict than those without such experience. Physicians face increasing pressure to pursue continuing education and experience associated distress. Therefore, hospitals and government policy-makers should promote DT and OS.
            Cover page: Association of off-the-job training with work performance and work-family conflict among physicians: a cross-sectional study in China.
            • Article
            • Peer Reviewed
            UCLA Previously Published Works (2022)

            Background

            Patients with prostate cancer experience heterogeneous outcomes after radical prostatectomy. Genomic studies including The Cancer Genome Atlas (TCGA) have reported molecular signatures of prostate cancer, but few studies have assessed the prognostic effects of DNA methylation profiles.

            Methods

            We conducted the largest methylome subtyping analysis for primary prostate tumors to date, using methylome data from three patient populations: TCGA, a prostate cancer cohort study conducted at the Fred Hutchinson Cancer Research Center (FH; Seattle, WA), and the Canadian International Cancer Genome Consortium (ICGC) cohort. Four subtypes were detected in the TCGA dataset, then independently assigned to FH and ICGC cohort data. The identified methylation subtypes were assessed for association with cancer prognosis in the above three patient populations.

            Results

            Using a set of hypermethylated CpG sites, four methylation subtypes were identified in TCGA. Compared with subtype 1, subtype 4 had an HR of 2.09 (P = 0.029) for biochemical recurrence (BCR) in TCGA patients. HRs of 2.76 (P = 0.002) for recurrence and 9.73 (P = 0.002) for metastatic-lethal (metastasis or prostate cancer-specific death) outcomes were observed in the FH cohort. A similar pattern of association was noted in the Canadian ICGC cohort, though HRs were not statistically significant.

            Conclusions

            A hypermethylated subtype was associated with an increased hazard of recurrence and mortality in three studies with prostate tumor methylome data. Further molecular work is needed to understand the effect of methylation subtypes on cancer prognosis.

            Impact

            This study identified a DNA methylation subtype that was associated with worse prostate cancer prognosis after radical prostatectomy.
              Cover page: Methylation Subtypes of Primary Prostate Cancer Predict Poor Prognosis
              • Article
              • Peer Reviewed
              UC Riverside Previously Published Works (2015)
              Cupriavidus sp. are generally heavy metal tolerant bacteria with the ability to degrade a variety of aromatic hydrocarbon compounds, although the degradation pathways and substrate versatilities remain largely unknown. Here we studied the bacterium Cupriavidus gilardii strain CR3, which was isolated from a natural asphalt deposit, and which was shown to utilize naphthenic acids as a sole carbon source. Genome sequencing of C. gilardii CR3 was carried out to elucidate possible mechanisms for the naphthenic acid biodegradation. The genome of C. gilardii CR3 was composed of two circular chromosomes chr1 and chr2 of respectively 3,539,530 bp and 2,039,213 bp in size. The genome for strain CR3 encoded 4,502 putative protein-coding genes, 59 tRNA genes, and many other non-coding genes. Many genes were associated with xenobiotic biodegradation and metal resistance functions. Pathway prediction for degradation of cyclohexanecarboxylic acid, a representative naphthenic acid, suggested that naphthenic acid undergoes initial ring-cleavage, after which the ring fission products can be degraded via several plausible degradation pathways including a mechanism similar to that used for fatty acid oxidation. The final metabolic products of these pathways are unstable or volatile compounds that were not toxic to CR3. Strain CR3 was also shown to have tolerance to at least 10 heavy metals, which was mainly achieved by self-detoxification through ion efflux, metal-complexation and metal-reduction, and a powerful DNA self-repair mechanism. Our genomic analysis suggests that CR3 is well adapted to survive the harsh environment in natural asphalts containing naphthenic acids and high concentrations of heavy metals.
                Cover page: Genome Sequence Analysis of the Naphthenic Acid Degrading and Metal Resistant Bacterium Cupriavidus gilardii CR3
                • Article
                • Peer Reviewed
                LBL Publications (2021)
                The competing and non-equilibrium phase transitions, involving dynamic tunability of cooperative electronic and magnetic states in strongly correlated materials, show great promise in quantum sensing and information technology. To date, the stabilization of transient states is still in the preliminary stage, particularly with respect to molecular electronic solids. Here, a dynamic and cooperative phase in potassium-7,7,8,8-tetracyanoquinodimethane (K-TCNQ) with the control of pulsed electromagnetic excitation is demonstrated. Simultaneous dynamic and coherent lattice perturbation with 8 ns pulsed laser (532 nm, 15 MW cm-2 , 10 Hz) in such a molecular electronic crystal initiates a stable long-lived (over 400 days) conducting paramagnetic state (≈42 Ωcm), showing the charge-spin bistability over a broad temperature range from 2 to 360 K. Comprehensive noise spectroscopy, in situ high-pressure measurements, electron spin resonance (ESR), theoretical model, and scanning tunneling microscopy/spectroscopy (STM/STS) studies provide further evidence that such a transition is cooperative, requiring a dedicated charge-spin-lattice decoupling to activate and subsequently stabilize nonequilibrium phase. The cooperativity triggered by ultrahigh-strain-rate (above 106 s- 1 ) pulsed excitation offers a collective control toward the generation and stabilization of strongly correlated electronic and magnetic orders in molecular electronic solids and offers unique electro-magnetic phases with technological promises.
                  • Article
                  • Peer Reviewed
                  LBL Publications (2021)
                    Cover page: Laser‐Induced Cooperative Transition in Molecular Electronic Crystal (Adv. Mater. 39/2021)Creative Commons 'BY' version 4.0 license
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