Objective: This study aimed to explore the impacts of social cognition and interaction training (SCIT) on serum brain-derived neurotrophic factor (BDNF), glial cell line-derived neurotrophic factor ...
Abstract: Graph Convolutional Networks (GCNs) have been widely used in skeleton-based human action recognition and have achieved promising results. However, current GCN-based methods are limited by ...
The Israel Defense Forces and the Israel Security Agency (Shin Bet) announced on Wednesday that they had thwarted an Iranian weapons-smuggling operation aimed at supplying terrorist operatives in ...
Abstract: In multichannel electroencephalograph (EEG) emotion recognition, most graph-based studies employ shallow graph model for spatial characteristics learning due to node over-smoothing caused by ...