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Learning from Hindsight: Examining Autonomic, Inflammatory, and Endocrine Stress Biomarkers and Mental Health in Healthy Terrorism Survivors Many Years Later.
Prehosp Disaster Med
January 2025
Assistant Professor, Department of Internal Medicine, UT Southwestern Medical Center, Statistician/Section Chief of Analytics, Research Service, VA North Texas HCS, Dallas, TexasUSA.
Introduction: Terrorism and trauma survivors often experience changes in biomarkers of autonomic, inflammatory and hypothalamic-pituitary-adrenal (HPA) axis assessed at various times. Research suggests interactions of these systems in chronic stress.
Study Objective: This unprecedented retrospective study explores long-term stress biomarkers in three systems in terrorism survivors.
Application of an implementation premortem: A novel qualitative approach leveraging prospective hindsight to enhance barbershop health interventions for Black men.
Transl Behav Med
October 2024
School of Nursing and Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA.
Barbershop-based efforts to promote health among Black men have been uniquely successful. Despite the success of these efforts, the emphasis on outcomes as opposed to how these outcomes can be achieved has created a gap in the literature. The present study addresses this gap by describing implementation-related program priorities that Black men identify for barbershop-based interventions.
View Article and Find Full Text PDFTowards reconciling usability and usefulness of policy explanations for sequential decision-making systems.
Front Robot AI
July 2024
School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, United States.
Safefy-critical domains often employ autonomous agents which follow a sequential decision-making setup, whereby the agent follows a policy to dictate the appropriate action at each step. AI-practitioners often employ reinforcement learning algorithms to allow an agent to find the best policy. However, sequential systems often lack clear and immediate signs of wrong actions, with consequences visible only in hindsight, making it difficult to humans to understand system failure.
View Article and Find Full Text PDFEnhancing Nitrogen Reduction Reaction through Formation of 2/2D Hybrid Heterostructures of MoS@rGO.
ACS Appl Mater Interfaces
May 2024
Department of Inorganic Chemistry, University of Chemistry and Technology in Prague, Technická 5, 166 28 Prague 6, Czech Republic.
Given the challenging task of constructing an efficient nitrogen reduction reaction (NRR) electrocatalyst with enhanced ambient condition performance, properties such as high specific surface area, fast electron transfer, and design of the catalyst surface constitute a group of key factors to be taken into consideration to guarantee outstanding catalytic performance and durability. Thereof, this work investigates the contribution of the 2D/2D heterojunction interface between MoS and reduced graphene oxide (rGO) on the electrocatalytic synthesis of NH in an alkaline media. The results revealed remarkable NRR performance on the MoS@rGO 2/2D hybrid electrocatalyst, characterized by a high NRR sensitivity (faradaic efficiency) of 34.
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