BACKGROUND: Accurately predicting academic performance among medical postgraduate students is crucial for understanding educational outcomes and providing effective early academic guidance. Traditional statistical approaches often struggle to balance... read more
BACKGROUND: Brassica napus (B. napus) is globally important oilseed crop, yet traditional approaches for phenotyping of seed traits are labor-intensive and destructive. RESULTS: Here, we establish a non-destructive analytical framework integrating hy... read more
Journal of chemical theory and computation
Feb 10, 2026
We introduce a multiscale machine-learning molecular dynamics (MD) strategy for simulating infrared spectra of solvated molecules. Our approach integrates an efficient sampling of environmental configurations with a hierarchical model that predicts f... read more
Cross-linking mass spectrometry (XL-MS) technology plays an important role in protein structure and protein-protein interaction (PPI) studies. However, there are serious shortcomings in the data processing and analysis methods of XL-MS that limit its... read more
Artificial intelligence (AI), complex mathematical algorithms, is currently employed across various fields to perform tasks quickly and effectively. In this study, a novel deep-learning algorithm named (CM-Net) was developed to classify biological da... read more
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