Hybrid Physics-Informed Residual Learning for Robust BDS-3 Satellite Clock Bias Prediction. [PDF]
Cheng L +5 more
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Objective To explore whether higher body fat and lower lean mass are associated with greater pain and worse patient‐reported physical function in individuals with hip osteoarthritis (OA). A secondary aim was to examine whether pain and patient‐reported physical function differ according to four body composition profiles: high body fat, low lean mass ...
Alexandra Ryan +10 more
wiley +1 more source
Modeling of complex physical and biological problems using bi-univalent function calculus. [PDF]
Saleh ZM +3 more
europepmc +1 more source
Hybrid physics-informed artificial intelligence for high-fidelity modeling and optimization of electrical systems. [PDF]
Nyangon J.
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DNA damage complexity as a predictor of cell survival: a microscopic Monte Carlo-based modeling framework for photon, proton and carbon ion irradiation. [PDF]
Qi M +8 more
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Reliability Assessment of MEMS Gyroscopes via Dual-Mechanism Synergistic Degradation: A Generalized Linear Model with Physics-Informed Wiener Processes. [PDF]
Yang P, Liu Z, Liang Y, Guo X, Geng H.
europepmc +1 more source
A social-ecological examination of physical activity and fitness among Chinese university students: a cross-sectional path analysis. [PDF]
Wang Y, Saong M.
europepmc +1 more source
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We develop a new framework for inferring models of transcriptional regulation. The models, which we call physical network models, are annotated molecular interaction graphs. The attributes in the model correspond to verifiable properties of the underlying biological system such as the existence of protein-protein and protein-DNA interactions, the ...
Chen-Hsiang Yeang +2 more
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It must have been in an unthinking moment that I promised to speak about ‘the’ model in physics. For even in physics models of quite different types are used for quite different purposes. Rather than talk about ‘the’ model, I will take a few examples of some types of models in physics.
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