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Abstract Strong lighting from above is common in everyday environments and this statistical regularity has shaped the function of the human visual system. Here we investigate the influence of vertical asymmetries in illu...

IntroductionThe United States Immunodeficiency Network (USIDNET) collects de-identified patient data from hospitals across the country to study inborn errors of immunity (IEI). The registry contains records on >6,000 pat...

IntroductionThIntrusion Detection Systems (IDS) for Internet of Things (IoT) and edge environments require datasets with unambiguous labels, yet existing datasets often mix benign and malicious traffic within the same ca...

Abstract Multi-label chest X-ray classification faces three critical challenges: (i) inadequate modeling of inter-pathology dependencies despite clinical co-occurrence patterns, (ii) severe class imbalance (11.2−47.6...

Abstract Accurate prediction of cascading faults in power grids can ensure system stability and prevent large-scale outages. Existing methods typically require learning effective statistical information from datasets wit...