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An Artificial Neural Network-Based Response Surface Method for Reliability Analyses of c-φ Slopes with Spatially Variable Soil 被引量:4
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作者 舒苏荀 龚文惠 《China Ocean Engineering》 SCIE EI CSCD 2016年第1期113-122,共10页
This paper presents an artificial neural network(ANN)-based response surface method that can be used to predict the failure probability of c-φslopes with spatially variable soil.In this method,the Latin hypercube s... This paper presents an artificial neural network(ANN)-based response surface method that can be used to predict the failure probability of c-φslopes with spatially variable soil.In this method,the Latin hypercube sampling technique is adopted to generate input datasets for establishing an ANN model;the random finite element method is then utilized to calculate the corresponding output datasets considering the spatial variability of soil properties;and finally,an ANN model is trained to construct the response surface of failure probability and obtain an approximate function that incorporates the relevant variables.The results of the illustrated example indicate that the proposed method provides credible and accurate estimations of failure probability.As a result,the obtained approximate function can be used as an alternative to the specific analysis process in c-φslope reliability analyses. 展开更多
关键词 slope reliability spatial variability artificial neural network Latin hypercube sampling random finite element method
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National Survey on Nutrition Knowledge Assessment Among Junior High School Students — 31 PLADs, China, 2023–2024
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作者 Yujie Qiu Caicui Ding +2 位作者 Fan Yuan Tanchun Yu Ailing Liu 《China CDC weekly》 2025年第38期1214-1219,I0002,共7页
Introduction:Nutrition knowledge(NK)is a key modifiable factor influencing the dietary behavior and nutritional status of children.Currently,nationally representative data assessing NK among Chinese junior high school... Introduction:Nutrition knowledge(NK)is a key modifiable factor influencing the dietary behavior and nutritional status of children.Currently,nationally representative data assessing NK among Chinese junior high school students are unavailable.This study aimed to assess NK levels using recent,nationally representative data from China.Methods:A multistage stratified random cluster sampling method was used to select 28,629 junior high school students from 195 survey sites across 31 provincial-level administrative divisions in China.Data were collected using a standardized questionnaire developed using rigorous scientific procedures.NK awareness rates were described as weighted prevalence rates with 95%confidence intervals(CIs).Subgroup comparisons were performed using the Rao–Scott chisquare test.Results:The overall NK awareness rate among Chinese junior high school students was 40.0%(95%CI:36.5%–43.5%).The rates for the five dimensions,dietary recommendations,nutrient content of foods,food and health,food choices,and food safety,were 20.1%,46.2%,65.3%,65.2%,and 65.2%,respectively.The analysis revealed significant variations in overall and dimension-specific awareness rates across groups.Boys,students from rural and western regions,and students from families with lower socioeconomic status had poorer NK levels than their counterparts.Among the 10 knowledge points with the lowest correct rates,seven belonged to dietary recommendations,two to food safety,and one to food and health.Conclusion:NK awareness rates among junior high school students require improvement,especially regarding dietary recommendations,which remain a key component of students’nutrition education.Boys,students from rural and western regions,and students from families with lower socioeconomic status should be the key populations for NK dissemination in the future. 展开更多
关键词 nutrition knowledge dietary behavior standardized questionnaire nutritional status multistage stratified random cluster sampling multistage stratified random cluster sampling method China dietary behavior nutritional status
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