UC Berkeley

ABSTRACTRecent academic and activist critiques raise important points about the ways in which coloniality, migration and racialization are often overlooked in global health research and practice. In particular, these critiques highlight how such structural forces perpetuate inequalities and exclusions, as well as processes of epistemic violence in global health. While agreeing with these critical interventions, this paper argues for a focus on care and the importance that concrete acts and systems of care in postcolonial, migratory and racialized contexts have on the suffering and vulnerability of individuals and communities. Drawing on case studies from multiple different geographic and social contexts, we argue that the perspective of racialization can highlight how multi-layered inequalities in global healthcare are shaped by the intertwined processes of coloniality and migration; thereby explaining the contextual, structural vulnerability of specific groups of people to certain health conditions and their exclusion from adequate healthcare resources. We argue that social scientists and critical global health scholars and practitioners can play a central role in bringing the three strands of research - coloniality, migration and racialization - into conversation to explore their potential for jointly advancing the care and well-being of individuals and communities in different geographical and social contexts.

BACKGROUND: Depression and anxiety disorders are highly prevalent among young adults, with evidence suggesting sleep problems as key risk factors. OBJECTIVE: This study aimed to examine the association between insomnia and sleep characteristics with major depressive episode (MDE) and anxiety disorders, and the association after accounting for baseline mental health symptoms. METHODS: We conducted a prospective cohort study using data from the Students Health and Wellbeing Study (SHoT), surveying Norwegian higher education students aged 18 to 35 (N = 53,362). A diagnostic assessment of 10,460 participants was conducted in 2023. Self-reported insomnia, sleep duration, sleep onset latency, and wake after sleep onset were recorded in 2022. MDE and five types of anxiety disorders were assessed after one year using a self-administered CIDI 5.0. Analyses adjusted for age, sex, baseline mental health symptoms, and somatic conditions. RESULTS: Insomnia in young adults was associated with a significantly increased risk of MDE (adjusted RR = 3.50, 95 % CI = 3.18-3.84) and generalized anxiety disorder (GAD) (adjusted RR = 2.82, 95 % CI = 2.55-3.12) one year later. Sleep duration showed a reversed J-shaped association with mental disorders, with both short and, to a lesser extent, long sleep durations linked to elevated risks, even after adjusting for baseline mental health symptoms and somatic conditions. Although the associations were attenuated after adjustment, they remained statistically significant. CONCLUSION: Sleep disturbances, including insomnia and abnormal sleep durations, predict mental health issues in young adults, even after accounting for baseline mental health and somatic health. Addressing sleep problems early may help prevent subsequent mental health conditions in this population.

Abstract: The ATLAS Google Project was established as part of an ongoing evaluation of the use of commercial clouds by the ATLAS Collaboration, in anticipation of the potential future adoption of such resources by WLCG grid sites to fulfil or complement their computing pledges. Seamless integration of Google cloud resources into the worldwide ATLAS distributed computing infrastructure was achieved at large scale and for an extended period of time, and hence cloud resources are shown to be an effective mechanism to provide additional, flexible computing capacity to ATLAS. For the first time a total cost of ownership analysis has been performed, to identify the dominant cost drivers and explore effective mechanisms for cost control. Network usage significantly impacts the costs of certain ATLAS workflows, underscoring the importance of implementing such mechanisms. Resource bursting has been successfully demonstrated, whilst exposing the true cost of this type of activity. A follow-up to the project is underway to investigate methods for improving the integration of cloud resources in data-intensive distributed computing environments and reducing costs related to network connectivity, which represents the primary expense when extensively utilising cloud resources.

While the adsorption properties of transition metal catalysts have been widely studied, leading to the discovery of various scaling relations, descriptors of catalytic activity, and well-established computational models, a similar understanding of semiconductor catalysts has not yet been achieved. In this work, we present a high-throughput density functional theory investigation into the adsorption properties of 5 oxides of interest to the photocatalytic CO2 reduction reaction: TiO2 (rutile and anatase), SrTiO3, NaTaO3, and CeO2. Using a systematic approach, we exhaustively identify unique surfaces and construct adsorption structures to undergo geometry optimizations. We then perform a data-driven analysis, which reveals the presence of weak adsorption energy scaling relations, the propensity of adsorbates of interest to interact with oxygen surface sites, and the importance of slab deformation upon adsorption. Our findings are presented in the context of experimental observations and in comparison to previously studied classes of catalysts, such as pure metals and tellurium-containing semiconductors, and reinforce the need for a comprehensive approach to the study of site-specific surface phenomena on semiconductors.

We study notions of generic and coarse computability in the context of computable structure theory. Our notions are stratified by the Σβ hierarchy. We focus on linear orderings. We show that at the Σ1 level, all linear orderings have both generically and coarsely computable copies. This behavior changes abruptly at higher levels; we show that at the Σα+2 level for any α∈ω1CK the set of linear orderings with generically or coarsely computable copies is Σ11-complete and therefore maximally complicated. This development is new even in the general analysis of generic and coarse computability of countable structures. In the process of proving these results, we introduce new tools for understanding generically and coarsely computable structures. We are able to give a purely structural statement that is equivalent to having a generically computable copy and show that every relational structure with only finitely many relations has coarsely and generically computable copies at the lowest level of the hierarchy.