Results 81 to 90 of about 975 (166)
Parametrized Graph Convolutional Multi-Agent Reinforcement Learning with Hybrid Action Spaces in Dynamic Topologies. [PDF]
Chi P, Liu C, Zhao J, Wang Y.
europepmc +1 more source
This study describes a new hexamerous epizoic brittle star species, Gymnolophus sexradia sp. nov., from the South China Sea, which lives on crinoid hosts and exhibits a six‐armed body plan possibly indicating fissiparity. Its vertebral and arm plate structures enhance horizontal flexibility for grasping the host, and phylogenetic analysis based on ...
Ziye Zhang +5 more
wiley +1 more source
SAKE-PP: A Spatial-Attention Equivariant Network for Accurate Ranking of Protein-Protein Interaction Models. [PDF]
Xu Y +9 more
europepmc +1 more source
This study introduces a multi‐source data fusion framework for PV fault diagnosis that integrates an adaptive CNN with a collaborative data‐feature layer architecture. The model achieves 99.0% accuracy and 98.8% F1‐score, outperforming traditional methods by over 10% and offering a promising solution for reliable PV system monitoring. ABSTRACT Research
Zheng Li +5 more
wiley +1 more source
Resurrecting Full-Length Ancestral Schizorhodopsins and Heliorhodopsins with Structure-Guided, Indel-Aware Sequence Reconstruction. [PDF]
Ishikawa H, Mizutani Y.
europepmc +1 more source
CO2‐Derived Architected Carbons for Sustainable Energy Conversion and Storage
CO2‐derived carbon architectures are systematically engineered via thermochemical, electrochemical, and hybrid pathways to tailor electronic structure, interfacial charge transfer, and catalytic functionality. These materials demonstrate versatile performance across electrocatalysis and energy storage, establishing a coherent framework that links ...
Mohd Ubaidullah +7 more
wiley +1 more source
AI accelerate the identification of druggable targets by 3D structures of proteins and compounds. [PDF]
Li D, Shi S, Yu Z, Xu P, Zhang C.
europepmc +1 more source
Abstract The spatial and energetic encoding of allosteric regulatory sites remains a major challenge in structural biology, frequently representing a “blind spot” for sequence‐based artificial intelligence (AI) models. We present a protein language model (PLM)‐guided approach complemented by the energy landscape frustration analysis as a dual‐stream ...
Will Gatlin +8 more
wiley +1 more source
Recent Advances and Emerging Directions in Machine Learning-Based Breast Cancer Drug Discovery: A Comprehensive Review. [PDF]
Cheng Y, Kong J, Liu X, Li S.
europepmc +1 more source
ABSTRACT Conformity of observed data with a postulated probability distribution is a fundamental problem of statistical modeling. Current tools for checking distributional conformity are often limited to univariate settings, with extensions to multivariate distributions facing challenges in interpretability and power.
Rasha Alsaadawi, Nitai D. Mukhopadhyay
wiley +1 more source

