Results 211 to 220 of about 1,070,537 (309)
Train your robot in AR: insights and challenges for humans and robots in continual teaching and learning. [PDF]
Belardinelli A +4 more
europepmc +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Complete Issue Volume 8 Issue 1
Editor, Journal of the Scholarship of Teaching and Learning
doaj
Exploring Virtual Reality as a Tool for Enhancing Teaching and Learning Anatomy to Medical Students: A Feasibility and Acceptability Study. [PDF]
Walsh A, O'Brien R, McGuire K, Power D.
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Complete Issue Volume 10 Issue 3
Editor, Journal of the Scholarship of Teaching and Learning
doaj
Students' Perceptions of Creating Educational Videos as a Teaching and Learning Strategy. [PDF]
Ramón-Arbués E +5 more
europepmc +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
Strategies to enhance clinical teaching and learning in undergraduate nursing education: A scoping review. [PDF]
Hobenu KA, Adefuye AO, Naab F, Nyoni CN.
europepmc +1 more source
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source

