Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Virtual training, real effects: a narrative review on sports performance enhancement through interventions in virtual reality. [PDF]
Richlan F, Weiß M, Kastner P, Braid J.
europepmc +1 more source
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
A low-cost unity-based virtual training simulator for laparoscopic partial nephrectomy using HTC Vive. [PDF]
Rasheed F +4 more
europepmc +1 more source
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley +1 more source
Comparison of the effectiveness of face-to-face, virtual, and integrated first aid training in the knowledge, attitude, and skills of mountaineers [PDF]
Introduction: The possible accidents for mountaineers and the importance of safety highlight the necessity of first aid training in the mountains. Therefore, the present study aimed to assess the impact of face-to-face, virtual, and integrated first aid
Kobra Khosravi +3 more
doaj
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
STAR-Caregivers Virtual Training and Follow-up: a cultural adaptation for Latino caregivers of people with dementia. [PDF]
Ramirez M +5 more
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Background and purpose This study aimed to compare the efficacy of professional athlete-led online instruction with traditional in-person coaching for developing technical competencies in novice sepak takraw players, addressing critical knowledge gaps in
Zulkifli Zulkifli +6 more
doaj

