UCLA

BACKGROUND: The global refugee crisis has reached unprecedented levels, placing millions of forcibly displaced individuals at heightened risk for psychological distress. While the effects of pre-migration trauma on mental health are well established, less is known about how intersecting identity factors and post-migration systemic barriers jointly shape posttraumatic stress severity. OBJECTIVE: Guided by Intersectionality Theory and Ecological Systems Theory, this study examined how pre-migration trauma exposure, identity-related characteristics, and post-migration stressors interact to predict post-traumatic stress symptom severity among refugees and asylum seekers. METHOD: Participants included 610 refugees and asylum seekers who completed standardized assessments at the Boston Center for Refugee Health and Human Rights. PTSD symptom severity was assessed using the Harvard Trauma Questionnaire. Predictors included pre-migration trauma exposure, identity factors (e.g., education level, region of origin, English proficiency), and post-migration stressors (e.g., legal status, employment, housing, community involvement). Classification and Regression Tree (CART) analysis was used to identify hierarchical and nonlinear interactions among predictors. RESULTS: The pruned CART model identified education level, English language proficiency, and region of origin as the strongest predictors of PTSD symptom severity. Individuals with some formal education, higher English proficiency, and origins outside Uganda and Europe reported higher symptom scores. Pre-migration trauma variables were not retained in the final model, highlighting the influence of post-migration structural conditions. CONCLUSIONS: Findings underscore the importance of moving beyond trauma-focused models to address how legal insecurity, social exclusion, and linguistic integration shape refugee mental health and recovery.

Existing research highlights TB's economic and social stigma burdens and impacts behavior in households, but virtually unexplored is the dynamics of TB and parenthood. This qualitative study examines the interplay between TB diagnosis and treatment, and parenting experiences, focusing on the intersections of individual agency, societal expectations, and access to resources. From March 2021 to January 2022, we conducted in-depth interviews with 98 TB patients in Buffalo City, South Africa, including 44 mothers and 54 fathers. Guided by the Network-Individual-Resource (NIR) model, we applied layered coding, memoing, and causal mapping to analyze experiences through the lens of agency and societal expectations. Mothers reported primary caregiving responsibilities, drawing motivation from their children, and relying on multigenerational family support for childcare and treatment-adherence. Children frequently provided emotional and practical care, such as cooking and medication reminders. Fathers more often distanced themselves to protect families from infection, faced isolation, and struggled to fulfill provider roles due to job loss. Extended family support for fathers was limited, with financial pressures exacerbating treatment challenges. These results illustrate how gender norms and resources structure the TB experience. Strengthening maternal caregiving networks and reimagining fatherhood beyond economic provision can foster better adherence and more equitable health outcomes.

The oral cavity presents a highly dynamic environment where inter-microbial communications play a pivotal role. Understanding the spatial organization of microbial ecosystems has been highlighted on the microbiome and polymicrobial infection. Furthermore, cross-feeding and modulation by metabolites from the oral microbiota and host cells, such as lactate and reactive oxidative species, impact the stability and functionality of microbial communities. Traditional research focusing solely on the compositional aspects of these communities is insufficient to understand the sophisticated interactions. We evaluated recent advancements in imaging technologies, bolstered by multi-omics analyses and artificial intelligence (AI)-driven approachesinsights, to provide an more integrated understanding of the dynamics and function of the oral microbiome. Real time imaging and resolution-enhancing methods at the single-cell level have unraveled the ecology and dynamics of microbial communities, indicating unique three-dimensional architectures and biogeographical patterns associated with disease status in polymicrobial interplays. Emerging computational techniques can account for the spatial features of oral microbiome by creating image-like representations that capture the complex relationships between host tissues and microbial communities. Spatial multi-omics, help address the limitations of single-cell sequencing, deciphering molecular mechanisms between species in these biogeographical patterns. To process the massive volume of imaging-based data, AI-assisted analysis enables complex dataset integration, predictive capacity, and personalized treatment, bringing a whole new level of understanding of the oral microbiome and its relationships with the host. In this review, we highlight recent imaging-based technologies used to study the spatial biogeography of interspecies and interkingdom relationships within oral microbial communities, focusing on how these interactions and functional/metabolic alterations associated with health and disease. We further outline limitations of AI-generated predictions and imaging-based observational data. Finally, we elaborate on potential biomarkers for early diagnosis and new effective therapeutic strategies to reshape microbial dynamics.

Abstract Recent DIII-D tokamak experiments have demonstrated the integration of intrinsic low-collisionality grassy edge-localized mode (ELM) regime with high-performance hybrid core scenario, possibly offering a core-edge compatible solution for ITER and future fusion reactors. This regime features grassy ELMs (with ELM energy loss over pedestal stored energy <2%) at ITER-relevant pedestal top collisionality (ν_e^*~0.1), ITER similar shape, while maintaining high core confinement (H_98y2~1.5) in non-inductive hybrid scenarios. A small ELM-focused database is constructed to investigate the parametric dependence of the small/grassy ELM regimes. Access and sustainment of this regime appear to be favored by high poloidal beta (β_p>1.5), higher ratio of separatrix-to-pedestal density (n_(e,sep)⁄n_(e,ped) >0.4) and low pedestal top collisionality (υ_(e,ped)^*=0.1-0.4). In this scenario, the pedestal width exceeds the prediction from EPED–KBM scaling, consistent with the expectation of a turbulence-limited pedestal. Linear modeling using ELITE indicates that this grassy ELM regime is along the peeling boundary. Relative to a large-ELM phase, the grassy-ELM phase exhibits a broader inner-target heat-flux width and a substantially reduced ELM-induced transient heat-flux increment. These results motivate further evaluation of low-collisionality grassy ELMs as a potentially reactor-relevant operating regime, while full-duration sustainment and compatibility with divertor detachment remain unresolved.

Signal transducer and activator of transcription 1 (STAT1) defects present with diverse clinical phenotypes. We describe an unusual genotype/phenotype: disseminated mycobacterial infection without chronic mucocutaneous candidiasis in the context of a pathogenic STAT1 gain-of-function variant (p.Lys388Glu). To our knowledge, this is the first report of such a case.

Comprehenders in many of the world's languages exhibit a preference or a greater ease in comprehending transitive relative clauses (RCs) when associating the dislocated head with a subject position. Some theories relate this preference to an early prediction that an animate head will serve as a subject. We present a picture selection experiment with eye-tracking investigating the role of such predictions in comprehending transitive RCs in Santiago Laxopa Zapotec, an Oto-Manguean language of southern Mexico where RCs are ambiguous unless they contain a resumptive pronoun. Patterns of offline choices and incremental looking suggest that Santiago Laxopa Zapotec comprehenders avoid forming predictive interpretations of the RC head, and do not take its animacy into account in early processing. Instead, comprehenders exhibit a later, animacy-sensitive bias to interpret the RC-internal co-argument as a subject. Overall, we take this pattern as evidence that a comprehender's structural predictions must be somehow dependent on experience-based tuning, while more universal pressures like similarity-based interference remain fixed. The lingering question for theories of cross-linguistic processing is how much of our predictive mechanism is tunable: do we tune just the distribution of expected structures which directs predictions, or also the practice of deploying predictions itself? We discuss how either of these approaches might explain the pattern we observe in Santiago Laxopa Zapotec, and highlight that an answer to this question will depend on continued investigations across a diverse sample of the world's languages.

Cellular organelles are uniquely specialized membrane-bound structures that enable cells to organize and coordinate biochemical processes. Specifically, mitochondria are essential organelles for cellular metabolism, coordinating energy production, and connecting signaling networks for cellular homeostasis. 99% of mitochondrial proteins are encoded by nuclear genes that require precise and efficient translation and import into mitochondria for biological processes. This process is mediated by coordinated pathways involving the mitochondrial specific translocation complexes, chaperones, and specialized targeting routes. Tight regulation of these import mechanisms allows for proper protein localization, folding, and assembly. Disruptions in the mitochondrial protein import pathway compromise organelle homeostasis and activate proteostatic stress and quality control pathways. Such defects have been observed in a wide range of pathophysiological conditions, including cardiovascular disease, neurodegeneration, and cancer. The import defects destabilizing mitochondrial proteins can impair oxidative phosphorylation and metabolic signaling. In sum, defects to mitochondrial function can highlight a central role of mitochondrial protein import beyond maintaining cellular function and how defects at distinct stages of import contribute to disease, underscoring opportunities for therapeutic intervention targeting mitochondrial proteostasis.