Results 141 to 150 of about 85,189 (265)

The Impacts of Hurricane Helene on Queer Communities in Appalachia. [PDF]

Health Behav Policy Rev
Mann-Jackson L, Chaffin JW, Alonzo J, Aguilar-Palma SK, Tanner AE, Kline DM, Stafford JM, Rhodes SD.   +7 more
europepmc   +1 more source

A Pragmatic Trial of a Shared Decision‐Making Intervention to Improve Medication Adherence and Outcomes in Systemic Lupus Erythematosus: The HCQ‐SAFE Study

Arthritis &Rheumatology, EarlyView.
Objective Hydroxychloroquine (HCQ) nonadherence in systemic lupus erythematosus (SLE) stemming from decision complexities can be improved with shared decision‐making (SDM) tools clarifying benefits and harms. This study aimed to develop and evaluate HCQ‐SAFE, a pictogram‐based SDM tool during SLE visits.
Caroline Packee, Jay J. Patel, Jessica Kent, Betty Chewning, Sancia Ferguson, Patricia Tellez‐Giron, David Gazeley, Christie M. Bartels, Shivani Garg   +8 more
wiley   +1 more source

Burning issues: trends in newspaper coverage of wildfire events and health. [PDF]

J Public Health (Oxf)
Nunes AR.
europepmc   +1 more source

Forest Economics and Forest Policy

FOREST ECONOMY, 1983
openaire   +1 more source

Fine Particulate Matter Constituents, Ozone, and Systemic Lupus Erythematosus: A Large General‐Population Cohort Analysis With Extended Quantile g‐Computation

Arthritis &Rheumatology, EarlyView.
Objective The aim of this study was to investigate whether exposure to mixture of individual fine particulate matter (PM2.5) chemical constituents is associated with incident systemic lupus erythematosus (SLE) and if ozone modifies this association and/or is associated with SLE onset.
Naizhuo Zhao, Sasha Bernatsky, Sharon Dowell, Brittany Banbury, Jeffrey R. Curtis, Grace C. Wright, Emily E. Holladay, Amy Mudano, Cristiano S. Moura, Gail S. Kerr   +9 more
wiley   +1 more source

Unlocking the financing potential of forest-based carbon assets: a valuation framework for pledge lending under uncertainty in China. [PDF]

Sci Rep
Zhang Y, Zhang J.
europepmc   +1 more source

The performance of ChatGPT and other large language models on multiple‐choice questions in biomedical disciplines: A meta‐analysis

Anatomical Sciences Education, EarlyView.
Abstract While large language models (LLMs) have shown promise as learning tools for medical education, their reported accuracy on multiple‐choice questions (MCQs) varies widely across studies, necessitating synthesis. This meta‐analysis synthesizes LLM accuracy on text‐based MCQs from biomedical disciplines and USMLE Step 1‐level content and explores ...
Colleen M. Cheverko, Volodymyr Mavrych, Olena Bolgova, Fathima Raahima Riyas Mohamed, Jennifer Westrick, Lorena Juarez, Emily Rush, Kathryn A. Solka, Alison F. Doubleday, Jessica N. Byram, Robert Becker, Victoria Gomez, Brenda K. Anak Ganeng, Leslie A. Hoffman, Victoria A. Roach, Kirsten M. Brown, Nicole DeVaul, Colleen N. Garnett, Hannah L. Herriott, Rebecca S. Lufler, Jason C. Mussell, Joy Y. Balta, Michael A. Pascoe, Jason W. Middleton, Sharon Duffy, Georgina C. Stephens, Adam B. Wilson   +26 more
wiley   +1 more source

Exploring opportunities to integrate climate change into Gross National Happiness for Bhutan and its application for global wellbeing-centred Climate Resilient Development. [PDF]

Environ Manage
Dorji T, Morrison-Saunders A, Blake D.
europepmc   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Identifying policy-relevant traffic crash risk factors in Cheongju, South Korea using logistic regression and explainable machine learning. [PDF]

PLoS One
Lee EJ, Kim S, Lee HJ, Jhong JH.
europepmc   +1 more source