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This paper explores the application of convolutional neural networks (CNNs) in predictive modelling for seismic events and flood risks, with a particular focus on forecasting extreme quantile events that exceed historica...

ObjectiveThe aim of this study was to analyze the concentrations of eugenol residues in live freshwater fish and shrimp， and to evaluate potential human health risks associated with their consumption in Chongqing City....

ObjectiveTo initially understand the current status of awareness and consumption behavior of prepared dish consumers， and to provide data support for the food safety risk assessment of prepared dishes.MethodsA question...

Improving the research methodology and practice of regulating the social vulnerability of the population requires more attention to infrastructural impacts. Conceptualization of the infrastructural determinants provision...

Introduction: The Neonatal Mortality Rate (NMR) remains high in India despite various advances in neonatal care. A reliable scoring system may help identify sick neonates and facilitate early interventions. The Score for...

Background Clinical brain–computer interface (BCI) for mental disorders is an emerging interdisciplinary research field, posing new ethical concerns and challenges, yet lacking practical ethical governance guidelines f...

ObjectiveTo explore the characteristics of organophosphorus pesticide residues in vegetables and the dietary exposure risks for residents in Hubei Province.Methods2 182 vegetable samples were collected from all 17 cities...