Objectives To date, consistent evidence for consequences of heading in football (soccer) on the structure and function of the ...
An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...
Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...
Buddy Punch reports that tool sprawl is common, with 52% of organizations using too many apps, leading to lost hours and ...
Links As Trust And Context Signals, Not Drivers Of Ranking Links increasingly function to confirm that a site is legitimate ...
New research from Colorado State University into the ways neurons regulate chemical balance in the brain could provide ...
Abstract: We propose a Multi-graph Attention spatial-temporal graph convolutional network (MGA-STGCN) for AHP risk forecasting. To describe the temporal and spatial features of the area, we use ...
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