Results 211 to 220 of about 4,170,963 (333)

Complete Issue Volume 8 Issue 3

open access: yesJournal of the Scholarship of Teaching and Learning, 2012
Editor, Journal of the Scholarship of Teaching and Learning
doaj  

When Teaching and Learning Microbiology Engage Societal Needs. [PDF]

open access: yesMicrob Biotechnol
Valderrama MJ   +3 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
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 12 Issue 1

open access: yesJournal of the Scholarship of Teaching and Learning, 2012
Editor, Journal of the Scholarship of Teaching and Learning
doaj  

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
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 1 Issue 1

open access: yesJournal of the Scholarship of Teaching and Learning, 2000
Editor, Journal of the Scholarship of Teaching and Learning
doaj  

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

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