Results 161 to 170 of about 22,376 (246)

Splicing genes as main targets of differential splicing. [PDF]

G3 (Bethesda)
Tengs T, LaFramboise T, Baidi Y, Beroukhim R, Choi WY, Choi HY, Hayes DN.   +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

Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queries. [PDF]

NPJ Artif Intell
Saha K, Jain Y, Rodriguez VJ, De Choudhury M.   +3 more
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

Can LLMs improve the accuracy of behavior prediction for personnel in high-stakes scenarios by predicting emotions? - A fine-tuning study based on scarce homogeneous cultural data in high-pressure environments. [PDF]

PLoS One
Chen Y, Ping Y, Zhou S, Jojo C.
europepmc   +1 more source

Inter‐Shot Motion Correction of Segmented 3D‐GRASE ASL Perfusion Imaging With Self‐Navigation and CAIPI

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1557-1571, October 2026.
ABSTRACT Purpose Segmented 3D Gradient and Spin Echo (GRASE) is commonly used in Arterial Spin Labeling (ASL) perfusion imaging. However, it is vulnerable to inter‐shot motion, leading to subtraction errors that cannot be corrected. We developed a retrospective self‐navigated inter‐shot motion correction method for segmented 3D‐GRASE ASL imaging with ...
Minhao Hu, Frederik J. Lange, Peter Jezzard, Joseph G. Woods, Mark Chiew, Thomas W. Okell   +5 more
wiley   +1 more source

Performance analysis of concatenated Reed-Solomon and next generation polar codes for 6G communication systems. [PDF]

Sci Rep
Wondimu E, Annamalai P, Gared F.
europepmc   +1 more source

Methods for Uncertainty Quantification in Dictionary Matching to Advance Reliability of Quantitative MRI

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1956-1971, October 2026.
ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner, Ute Goerke, Eze Ahanonu, Kevin Johnson, Vibhas Deshpande, Holden H. Wu, Maria I. Altbach, Ali Bilgin   +7 more
wiley   +1 more source

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