Results 181 to 190 of about 1,593,061 (277)

Deciphering the "non-verbal" code: A preliminary exploration of multimodal large language models for neonatal pain recognition. [PDF]

Digit Health
Jiang X, Yang N, Shi T, Lu X, Fang M, Yang H, Cai J.   +6 more
europepmc   +1 more source

Gq Signaling in Microglia Triggers Interferon Responses and Improves Outcome After Ischemic Stroke

Glia, Volume 74, Issue 10, October 2026.
Chemogenetic activation of Gq signaling in microglia ahead of ischemic stroke reduces infarct size in mice. Seven days after stroke, Gq‐primed microglia in the penumbra show enhanced interferon responses, altered branching patterns, and reduced phagocytosis.
Lynn Bitar, Marie‐Luise Brehme, Charlotte Oldenburg, Sara Isla Cainzos, Michael G. Kaul, Tobias Mummert, Malte Borggrewe, Thomas G. Oertner, Tim Magnus   +8 more
wiley   +1 more source

Co-circulation of Trypanosoma cruzi and Leishmania spp. in Northwestern Colombia, a major migratory corridor. [PDF]

PLoS Negl Trop Dis
Cantillo-Barraza O, Pabón A, Valdivia HO, Posada L, Machado S, Velásquez-Ortiz N, Granada Y, Sanchez JF, Triana O, Vasquez GM, Tobón-Castaño A.   +10 more
europepmc   +1 more source

Generative AI and Learning Dynamics in Higher Education: A Longitudinal Empirical Study

Journal of Computer Assisted Learning, Volume 42, Issue 5, October 2026.
ABSTRACT Background Generative AI tools such as ChatGPT are increasingly integrated into higher education. Empirical evidence on how they shape learning dynamics over time remains limited. Previous studies have often examined single learning outcomes, neglecting the interplay between cognitive, motivational, and metacognitive processes that evolve ...
Chrysanthi Melanou, Maik Beege, Martin Kimmig   +2 more
wiley   +1 more source

A katE katG double-knockout E. coli strain eliminates the risk of catalase contamination in recombinant proteins. [PDF]

Appl Microbiol Biotechnol
Scholz AT, Coppo L, Nolan E, Hernandez M, Wang X, Mishra P, Schnell R, Pató ZA, Chen Y, Dagnell M, Andor A, Cheng Q, Arnér ESJ.   +12 more
europepmc   +1 more source

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

Journal of Organizational Behavior, Volume 47, Issue 8, Page 1369-1396, October 2026.
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher, Ekaterina Jussupow, Ivo Benke, Armin Heinzl   +3 more
wiley   +1 more source

Low-energy small language models with retrieval-augmented generation can surpass large-model performance in rheumatology. [PDF]

Front Med (Lausanne)
Felde S, Buchkremer R, Chehab G, Thielscher C, Distler JHW, Schneider M, Richter JG.   +6 more
europepmc   +1 more source

Does AI at Work Increase Stress? Text Mining Social Media About Human–AI Team Processes and AI Control

Journal of Organizational Behavior, Volume 47, Issue 8, Page 1423-1437, October 2026.
ABSTRACT With rising use of artificial intelligence (AI) in organizations, alongside increasing mental health issues, we seek to understand how AI use affects human stress. Drawing on the automation–augmentation perspective, we propose that AI control over decision‐making thwarts human autonomy and thus contributes to stress.
Florian Klonek, Sharon Parker
wiley   +1 more source

Patient Cognitive Bias in Large Language Model-Supported Health Consultations: Simulation-Based Comparative Study. [PDF]

J Med Internet Res
Zuo Y, Wan Q, Wang S.
europepmc   +1 more source

Interrogating the Escherichia coli Epitranscriptome Via CRISPR Interference and Nanopore Native RNA Sequencing

MicrobiologyOpen, Volume 15, Issue 5, October 2026.
Epitranscriptomics is understudied in bacteria but has the ability to modulate antimicrobial resistance, virulence and pathogenicity. Pitt et al. implement two cutting‐edge techniques: CRISPR interference and Nanopore direct RNA sequencing along with functional assays to study RNA modifications in Escherichia coli.
Miranda E. Pitt, Jianshu Zhang, An N. T. Nguyen, Michael B. Hall, Leila Jebeli, Leo A. Featherstone, Garry S. A. Myers, Nichollas E. Scott, Lachlan J. M. Coin   +8 more
wiley   +1 more source