Results 201 to 210 of about 531,339 (320)

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, Accepted Article.
Objectives 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

Patterns of genetic admixture reveal similar rates of borrowing across diverse scenarios of language contact. [PDF]

Sci Adv
Graff A, Blasi DE, Ringen EJ, Bajić V, Bavelier D, Shimizu KK, Pakendorf B, Barbieri C, Bickel B.   +8 more
europepmc   +1 more source

Essential embryology for the Canadian pathologists’ assistant

Anatomical Sciences Education, EarlyView.
Abstract Pathologists' assistants (PAs) are pivotal in healthcare, conducting autopsies and examining tissues under a pathologist's guidance. Embryology knowledge is crucial for PAs to accurately assess anomalies and identify pathologies. Yet, it is often overlooked in academic PA training programs.
Samantha H. Nacci, William Tsui, Fang‐I Lu, Avrum I. Gotlieb, Danielle C. Bentley   +4 more
wiley   +1 more source

IconicITA: Iconicity ratings of the Italian affective lexicon. [PDF]

PLoS One
de Varda AG, Lamarra T, Ravelli AA, Saponaro C, Giustolisi B, Bolognesi M.   +5 more
europepmc   +1 more source

Is artificial intelligence getting better at anatomy? A two‐year review of ChatGPT's free public versions

Anatomical Sciences Education, EarlyView.
Abstract Artificial intelligence and large language models have significantly influenced medical education by enhancing learning experiences. While previous studies have assessed ChatGPT's performance on anatomy‐related questions, a notable gap remains in understanding its accuracy over time. This longitudinal study evaluated the progression of ChatGPT'
Bahattin Paslı, Ceren Günenç Beşer
wiley   +1 more source

A phylogenetic classification of the Je language family. [PDF]

Open Res Eur
Ferraz Gerardi F, Wientzek T, Roksandic I, Gregorio de Souza J, Orphão de Carvalho F.   +4 more
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

A solid base for scaling up: the structure of numeration systems. [PDF]

Philos Trans R Soc Lond B Biol Sci
Pelland JC, Greenhill SJ, Walworth M, Bender A.   +3 more
europepmc   +1 more source

Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 703-717, April 2025.
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto, Amina A. Abdu, Natascha Chtena   +2 more
wiley   +1 more source

ChatGPT for complex text evaluation tasks

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 645-648, April 2025.
Abstract ChatGPT and other large language models (LLMs) have been successful at natural and computer language processing tasks with varying degrees of complexity. This brief communication summarizes the lessons learned from a series of investigations into its use for the complex text analysis task of research quality evaluation.
Mike Thelwall
wiley   +1 more source