The temporal dependencies between social, emotional and physical health factors in young people receiving mental healthcare: a dynamic Bayesian network analysis. [PDF]
Epidemiol Psychiatr Sci, 2023 Iorfino F +14 more
europepmc +1 more source
Advanced Science, EarlyView.This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
Hierarchical Dynamic Bayesian Network-Based Fatigue Crack Propagation Modeling Considering Initial Defects. [PDF]
Sensors (Basel), 2022 Xu Y, Zhu B, Zhang Z, Chen J.
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Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective
Advanced Science, EarlyView.Cryoprotectant design is reframed through the lens of drug discovery as a multiparameter optimization problem. This perspective highlights how AI and systematic design strategies could enable safer, more effective cryoprotectants, while identifying key limitations that currently constrain predictive progress in cryobiology. ABSTRACT Cryopreservation is
Dominika Wilczok +4 more
wiley +1 more source
Evidence centered design framework and dynamic bayesian network for modeling learning progression in online assessment system. [PDF]
Front Psychol, 2022 Choi Y, Mislevy RJ.
europepmc +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
Advanced Science, EarlyView.This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
Dynamic Bayesian network for predicting physiological changes, organ dysfunctions and mortality risk in critical trauma patients. [PDF]
BMC Med Inform Decis Mak, 2022 Chen Q +9 more
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Air conditioning reliability analysis based on dynamic Bayesian network and Markov model
International Journal of Metrology and Quality EngineeringWith the popularization of the air conditioning, its reliability during operation has gradually become a focus of attention. However, due to the uncertainty in the reliability analysis process, the accuracy of the results will be affected.
Xu Jiaqi +5 more
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Advanced Science, EarlyView.Phylogenetic and biochemical analyses of the heme transporter CydDC reveal its functional conservation throughout bacterial evolution and demonstrate its unique asymmetric allosteric mechanism. Furthermore, impairment of CydDC function directly affects bacterial antibiotic resistance and likely compromises antibiotic efficacy through drug efflux.
Lili Yang +19 more
wiley +1 more source
A dynamic Bayesian network model for predicting organ failure associations without predefining outcomes. [PDF]
PLoS One, 2021 De Blasi RA, Campagna G, Finazzi S.
europepmc +1 more source