This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Abstract: Many contemporary applications in signal processing and machine learning give rise to structured nonconvex nonsmooth optimization problems that can often be tackled by simple iterative ...
Abstract: Bent functions are optimal combinatorial objects. Since their introduction, substantial efforts have been directed toward their study in the last three decades. A complete classification of ...
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Introduction: Chewing has been reported to enhance cognitive function through the increase in cerebral blood flow. However, the mechanisms linking cerebral blood flow increase to metabolic changes in ...
Introduction Chronic kidney disease (CKD) is a common comorbidity of rheumatoid arthritis (RA). The association of longitudinal RA disease activity with long-term kidney function has remained ...
ABSTRACT: A single molecule theory for protein dynamics has been developed since 2012. It consists of the concepts of conformational Gibbs free energy function (CGF) and single molecule thermodynamic ...
Cybersecurity leaders are constantly on the hunt for tools and strategies to navigate the complex landscape of digital threats. But despite consistently being held accountable for safeguarding digital ...
Loss functions are fundamental components in machine learning (ML), which is pivotal in guiding models toward optimal performance during training. This article seeks to provide a comprehensive ...
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