Modular organization is an emergent property of brain networks, responsible for shaping communication circuiteer ii blower processes and underpinning brain functioning.Moreover, brain networks are intrinsically multilayer since their attributes can vary across time, subjects, frequency, or other domains.Identifying the modular structure in multilay
We present the design and results of empirical research, facing the actual problem of integration of theoretical and methodological knowledge of different areas of psychology to solve actual applied problems of modern physical medicine.For the first time, we described the use of gender-based approach to the study of psychological structures of dise
Nowadays, social media experience an increase in hostility, which leads to many people suffering from online abusive behavior and harassment.We introduce a new publicly available annotated dataset for abusive language detection in short texts.The dataset includes comments from YouTube, along with contextual information: replies, video, video plasti
E-commerce platforms face significant challenges in detecting anomalous products, including copyright goods and fraudulent listings, which can undermine user trust and platform integrity.This paper presents Graph Neural Network-based E-commerce Anomaly Detection via Dual-stage Learning (GNN-EADD), a novel approach leveraging graph neural networks f
In this paper, the effects of different aluminum to silicon ratios in silicate chains of calcium silicate hydrates (C-S-H) are evaluated on the diffusion coefficient of chloride ions by molecular dynamics method.Tobermorite is a crystalline phase that is used for studying C-S-H properties in nano scale, because of its analogous chemical composition