Results 191 to 200 of about 485,556 (376)
The Transparency Paradox: Why Researchers Avoid Disclosing AI Assistance in Scientific Writing. [PDF]
BaHammam AS.
europepmc +1 more source
Objective GLP‐1 receptor agonists (GLP‐1RAs) and SGLT2 inhibitors (SGLT2is) facilitate weight loss and exhibit immunomodulatory effects, but their impact on the risk of developing autoimmune rheumatic diseases (ARDs) is unclear. We compared ARD incidence following initiation of GLP‐1RAs, or SGLT2is, vs.
Derin Karacabeyli +4 more
wiley +1 more source
Writing and artificial intelligence: <i>apprivoiser</i> one's own paper. [PDF]
Matsubara S.
europepmc +1 more source
Design of Generative Model for the Language of Traditional Suakin Using Parametric Shape Grammar
Olakanbi Bolaji AbdulRaheem +1 more
openalex +1 more source
Supporting doctors' professional identity development through specialist training
Abstract Anatomy‐centric specialties such as surgery, radiology, and anatomical pathology (AP) have workforce shortages, with attrition during the training phase proposed as a contributing factor. Current understanding of the reasons behind trainee attrition is limited, and there have been calls to increase the depth and richness of research in this ...
Shemona Y. Rozario +3 more
wiley +1 more source
Motivational adaptation in English grammar learning: a mixed-methods study of students during the transition to senior high school. [PDF]
Zhuang Z, Wang D.
europepmc +1 more source
The weak generative capacity of linear tree-adjoining grammars [PDF]
David Chiang
openalex +1 more source
A practical guide to using diary methods in qualitative research
Abstract The use of qualitative methods is growing in anatomical sciences education. While common qualitative methods such as interviews and focus groups can provide rich insights into participant experiences, there is a wide variety of other qualitative methods that are ideal for different research topics.
Georgina C. Stephens +2 more
wiley +1 more source
ChatGPT for complex text evaluation tasks
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

