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 Transportation graph ne
Introduction This curriculum includes two simulation cases for neonatal resuscitation training using the rapid cycle deliberate practice (RCDP) technique.RCDP is a simulation-based curriculum that presents participants with rounds of increasing difficulty in rapid repetition, interspersing brief, direct feedback within the simulation.In contrast, t
Biomedical text mining promises to assist biologists in quickly navigating the combined knowledge in their domain.This would allow improved understanding of the complex interactions within biological systems and faster hypothesis generation.New biomedical research articles are published daily and text mining tools are only as good as the corpus fro
Based on cores and logging data, and gravity flow theory, the sedimentary characteristics and facies model of gravity flow deposits in the Longdong area in southwestern Ordos Basin were analyzed.Five types of gravity flow deposits are recognized: slides, slumps, sandy debris flows, muddy debris flows and turbidity currents.Affected by multiple prov