This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou +8 more
wiley +1 more source
Multi-Hardware Benchmarking of Open-Source Large Language Models with Retrieval-Augmented Generation for Mitsubishi FX-Series PLC Instruction List Code Generation. [PDF]
Yeh MF, Luo CC, Lu CL.
europepmc +1 more source
Quantitative Measure of the Changes of Migration Patterns Using Cosine Similarity
openaire +1 more source
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li +9 more
wiley +1 more source
Advancing the science of qualitative patient preference assessment using large language models. [PDF]
Grover T +4 more
europepmc +1 more source
Pressure‐Induced Drift Artifacts in Stretchable Liquid Metal ThinFilm Electrocardiogram Electrodes
A stretchable LM electrode integrated with a strain sensor enables in situ quantitative investigation of drift artifact and skin deformation. This reveals the significance of pressure‐induced drift artifact and its intimate relationship with the skin potential model.
Ding Li +13 more
wiley +1 more source
Alignment of Large Language Model Responses With Human Therapists in Motivational Interviewing.
Teferra BG +11 more
europepmc +1 more source
Health information dynamics and audience responses to avian influenza on YouTube: Implications for digital public health communication. [PDF]
Vors L +5 more
europepmc +1 more source
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu +11 more
wiley +1 more source
Trait-Relevant Tasks Improve Personality Prediction From Structural-Functional Brain Network Coupling. [PDF]
Popp JL +5 more
europepmc +1 more source

