THE METHODOLOGY FOR DETERMINING OF WARP RUNNER LENGTH IN THE TAPESTRY FABRICS


An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data

Abstract Background The ability to accurately predict essential genes intolerant to loss-of-function (LOF) mutations can dramatically improve the identification of disease-associated genes.Recently, there have been numerous computational methods developed to predict human essential genes from population genomic data.While the existing methods are h

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Characteristics and risk management of urban surface flooding in Guangzhou, China: Insights from 2022 ground monitoring

Study Twin Storage Bedroom RegionGuangzhou, ChinaStudy FocusOur research, based on the meticulous collection and rigorous statistical analysis of ground monitoring records for the entire year of 2022 in Guangzhou, delves into the spatio-temporal distribution patterns, evolution processes, flood formation mechanisms, and corresponding disaster mitig

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