Impact of Gamified Infection Control Education on Cognitive Achievement, Academic Self-Efficacy and Learning Motivation in Nursing Students: A Randomized Controlled Trial in Turkiye. [PDF]
Oner B, Bulut OU, Oner N.
europepmc +1 more source
We report a new thiolate‐reactive α,α‐gem‐dibromo lactam warhead that activates transcription factor Nrf2 and demonstrates anti‐inflammatory activities, which have implications in cancer, neurodegeneration, and cardiovascular diseases. RNA‐seq illuminated detailed transcriptional profiles, and chemical reactions with cysteine‐containing compounds ...
Beau R. Brummel +16 more
wiley +1 more source
Enhancing psychological well-being through embodied bilingual teaching: the mediating role of basic psychological needs and learning motivation. [PDF]
Li L, Yeonhee S, Fan Q.
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Mid‐infrared optoacoustic microscopy (MiROM) acquires lipid‐ and protein‐ associated vibrational contrast in intact fat tissue without dyes, preserving native tissue architecture. Through lateral and axial segmentation, MiROM tracks intrinsic intracellular changes during postnatal remodeling. A quantitative spatial analysis tool (Q‐SAT) maps white‐ and
Myeongseop Kim +7 more
wiley +1 more source
Showing the drawing hand of the teacher in an anatomy video lecture-Effect on the student's learning, motivation, and cognitive load. [PDF]
Bertrand MM +3 more
europepmc +1 more source
Discovery of H2 Receptor Antagonists as Colistin Enhancers by Targeting Acid Stress Response
This study identifies YqgB as a key target for restoring colistin susceptibility in mcr‐positive pathogens under acidic conditions by remodeling phospholipid composition and reducing LPS modification. Deep learning‐based screening reveals H2 receptor antagonists as novel colistin adjuvants. Further investigations indicate that ranitidine and famotidine
Jinju Cai +7 more
wiley +1 more source
Enhancing deep learning in AI-enhanced education: a dual mediation model of cognitive load and learning motivation through interaction quality. [PDF]
Dong L.
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Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu +4 more
wiley +1 more source
Exploring the role of agentic AI in fostering self-efficacy, autonomy support, and self-learning motivation in higher education. [PDF]
Alqurni J.
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