Large language models for prognostic analysis in mechanical fault diagnosis. [PDF]
Zhang H +6 more
europepmc +1 more source
A Fully Self‐Powered Digital Wearable System for the Auxiliary Treatment of Plantar Fasciitis
This study reports a system‐level fully self‐powered digital wearable system (FS‐DWS) for the auxiliary treatment of plantar fasciitis. By integrating arch support, energy harvesting, wearable sensing, and machine learning‐driven closed‐loop visualized feedback, the system enables effective plantar pressure reduction and self‐powered, real‐time plantar
Jiacheng Hou +10 more
wiley +1 more source
P2X4 receptors as the dynamic regulators of auditory sensory cell activity: a potential new mechanism for protecting hearing? [PDF]
Fisher-Ridoux A, Suzuki-Kerr H.
europepmc +1 more source
Dual‐Responsive Yarn‐Based Artificial Muscles for Adaptive Thermal Management
Inspired by the conscious movements of skeletal muscle, a novel hybrid yarn‐based artificial muscle (HYAM) coupling moisture actuation with controllable recovery is developed. This unique design increases actuation stroke by 128% and shortens recovery time by 91%. This unique design enhances the actuation stroke by 128% and reduces the recovery time by
Mengjiao Pan +11 more
wiley +1 more source
Applying machine learning to enhance core outcome set development: automating the data extraction and classification of outcomes. [PDF]
Yalcinkaya A +5 more
europepmc +1 more source
Functional compensation between clarin‐1 and clarin‐2 in cochlear hair cells. Hearing loss associated with CLRN1 mutations shows striking phenotypic variability; however, the underlying mechanisms remain poorly understood. This study reveals that clarin‐1 and clarin‐2 function cooperatively in cochlear hair cells to sustain mechanoelectrical ...
Maureen Wentling +17 more
wiley +1 more source
Bacteriocin biophysics: From protein-protein interaction models to navigators of the bacterial cell envelope. [PDF]
Kleanthous C.
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Resistance of different antimicrobials to CRKP: a meta analysis. [PDF]
Tao X, Wang L, Jin J.
europepmc +1 more source
A residual‐charge‐induced electric field control (SDREC) strategy enables the fabrication of patterned microstructure arrays with a resolution of 20 µm via the selective deposition of charged droplets. The resulting arrays exhibit reversible writing/erasing, optical encryption, and selective silver electrode formation, offering a versatile route to ...
Yuechen Pei +8 more
wiley +1 more source

