Evaluating topological and graph-theoretical approaches to extract complex multimodal brain connectivity patterns in multiple sclerosis. [PDF]
Lozano-Bagén T +11 more
europepmc +1 more source
Active Learning for the Discovery of Antiviral Polymers
Machine learning and active learning are integrated to accelerate the discovery of antiviral polymers. Molecular descriptors derived from polymer composition enable predictive modeling of antiviral activity, while unsupervised clustering explores chemical diversity. The active learning workflow identifies optimal candidates for synthesis, demonstrating
Clodagh M Boland +2 more
wiley +1 more source
Tight Bounds Between the Jensen-Shannon Divergence and the Minmax Divergence. [PDF]
Akopyan A +3 more
europepmc +1 more source
Macroscale Gradient‐Informed Neural Oscillation Topography in Parkinson's Disease
Abstract Background Parkinson's disease (PD) is characterized by large‐scale disruptions in beta and gamma oscillations. Although subcortical beta power is an established biomarker for current adaptive deep brain stimulation (aDBS), it may not fully capture the global pathophysiological burden and the macroscale hierarchical reorganization of the ...
Hao Ding +8 more
wiley +1 more source
Bayesian network analysis of cognitive impairment in empty-nest older adults: the role of living environment. [PDF]
Zhang S +6 more
europepmc +1 more source
Molecular Dynamics Study of Melt Structure and Transport Properties of Mg‒Al Alloy
The structural evolution and transport coefficients of the Mg‐Al alloy melt at different temperatures were investigated using molecular dynamics simulation methods. By establishing relationships among structure, diffusion, and viscosity, the microscopic mechanisms behind the temperature‐induced changes in transport properties are revealed. ABSTRACT The
Lijun Zhang +7 more
wiley +1 more source
Towards a mathematical framework for modelling cell fate dynamics. [PDF]
Vittadello ST +4 more
europepmc +1 more source
TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang +5 more
wiley +1 more source
Social network analysis for crime prediction under social computing and deep learning technology. [PDF]
Cao X, Zhang L.
europepmc +1 more source
ABSTRACT Purpose To develop and evaluate Crohn‐BOOST, an open‐source tool enabling semi‐automatic segmentation of intestinal lesions and creeping fat on magnetic resonance enterography (MR Enterography), and to assess whether quantitative metrics derived from these segmentations relate to radiological disease activity scored with simplified MaRIA ...
Antoine Kneib +5 more
wiley +1 more source

