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盐渍土环境下陶瓷再生梯度混凝土加速锈蚀试验: 《应用基础与工程科学学报》2025年第1期256-262,共7页乔宏霞彭宽陈克凡冯琼朱翔琛; 国家自然科学基金项目(51868044)。; 针对钢筋再生混凝土结构在西部盐渍土地区易产生钢筋锈蚀导致再生混凝土开裂的问题,提出了一种陶瓷再生梯度混凝土.采用恒电流加速法对埋置于盐湖土壤中的试件进行通电,当试件开裂后测定钢筋的极化曲线,利用电镜扫描(SEM)和X射线能谱仪(...; 关键词：陶瓷再生梯度混凝土通电加速锈蚀极化曲线 Eighted-Averaging推算法钢筋锈蚀膨胀率

Averaging of a Three-Dimensional Brinkman-Forchheimer Equation with Singularly Oscillating Forces: 《Journal of Partial Differential Equations》2024年第4期355-376,共22页SONG Xueli LI Xiaofeng DENG Xi QIAO Biaoming; supported in part by the National Natural Science Foundation of China(Nos.11601417 and 12001420).; We consider the uniform attractors of a 3D non-autonomous Brinkman-Forchheimer equation with a singularly oscillating force∂u/∂t-γΔu+au+b|u|u+c|u|^(2)u+∇p=f_(0)(x,t)+ε^(-ρ)f_( 1)(x,t/ε),for ρ∈[0,1)and ε>0,and ...; 关键词：Brinkman-Forchheimer equation uniform attractor singularly oscillating external force uniform boundedness

Feasibility of using Vis-NIR spectroscopy and PXRF spectrometry to estimate regional soil cadmium concentration: 《Journal of Environmental Sciences》2024年第11期88-96,共9页Mengxue Wan Fan Ya’nan Wentao Jiao Wenyou Hu Mingchao Lyu Weidong Li Chuanrong Zhang Biao Huang; supported by the National Key Research and Development Project(No.2020YFC1807405);the China Postdoctoral Science Foundation(No.2021M703301);the Key-Area Research and Development Program of Guangdong Province(No.2020B0202010006);the Youth Innovation Promotion Association of the Chinese Academy of Sciences(No.2019312).; Conventionally,soil cadmium(Cd)measurements in the laboratory are expensive and timeconsuming,involving complex processes of sample preparation and chemical analysis.This study aimed to identify the feasibility of usi...; 关键词：Artificial neural network Outer-product analysis Granger-Ramanathan averaging Soil Cd concentration Fusion method

Kriging Model Averaging Based on Leave-One-Out Cross-Validation Method被引量：1: 《Journal of Systems Science & Complexity》2024年第5期2132-2156,共25页FENG Ziheng ZONG Xianpeng XIE Tianfa ZHANG Xinyu; supported by the National Natural Science Foundation of China under Grant Nos.71973116 and 12201018;the Postdoctoral Project in China under Grant No.2022M720336;the National Natural Science Foundation of China under Grant Nos.12071457 and 11971045;the Beijing Natural Science Foundation under Grant No.1222002;the NQI Project under Grant No.2022YFF0609903。; In recent years,Kriging model has gained wide popularity in various fields such as space geology,econometrics,and computer experiments.As a result,research on this model has proliferated.In this paper,the authors prop...; 关键词：Asymptotic optimality best linear unbiased prediction cross-validation Kriging model model averaging

Subtraction of liposome signals in cryo-EM structural determination of protein-liposome complexes: 《Chinese Physics B》2024年第8期569-577,共9页李首卿李明王玉梅李雪明; Project supported by the National Natural Science Foundation of China (Grant Nos.32241023 and 92254306);the Fund from the Tsinghua–Peking Joint Center for Life Sciences;Beijing Frontier Research Center for Biological Structure。; Reconstituting membrane proteins in liposomes and determining their structure is a common method for determining membrane protein structures using single-particle cryo-electron microscopy(cryo-EM).However,the strong s...; 关键词：CRYO-EM protein–liposome complexes liposome signal subtraction 2D classification averaging

Research on Instantaneous Angular Speed Signal Separation Method for Planetary Gear Fault Diagnosis: 《Modern Mechanical Engineering》2024年第2期39-50,共12页Xinkai Song Yibao Zhang Shuo Zhang; Planetary gear train is a critical transmission component in large equipment such as helicopters and wind turbines. Conducting damage perception of planetary gear trains is of great significance for the safe operation...; 关键词：Planetary Gear Train Encoder Signal Instantaneous Angular Speed Signal Time-Domain Synchronous Averaging Fault Diagnosis

Optimal Model Average Prediction in Orthogonal Kriging Models被引量：1: 《Journal of Systems Science & Complexity》2024年第3期1080-1099,共20页WANG Jun HE Jiabei LIANG Hua LI Xinmin; supported by the National Natural Science Foundation of China under Grant No.11871294。; The main objective of this paper is to consider model averaging methods for kriging models.This paper proposes a Mallows model averaging procedure for the orthogonal kriging model and demonstrate the asymptotic optima...; 关键词：Asymptotic optimality Mallows criterion optimal model averaging orthogonal kriging model

Partial Linear Model Averaging Prediction for Longitudinal Data: 《Journal of Systems Science & Complexity》2024年第2期863-885,共23页LI Na FEI Yu ZHANG Xinyu; supported by the National Natural Science Foundation of China under Grant Nos.11971421,71925007,72091212,and 12288201;Yunling Scholar Research Fund of Yunnan Province under Grant No.YNWR-YLXZ-2018-020;the CAS Project for Young Scientists in Basic Research under Grant No.YSBR-008;the Start-Up Grant from Kunming University of Science and Technology under Grant No.KKZ3202207024.; Prediction plays an important role in data analysis.Model averaging method generally provides better prediction than using any of its components.Even though model averaging has been extensively investigated under inde...; 关键词：Asymptotic optimality longitudinal data model averaging estimator partially linear model PREDICTION

Reliability ensemble averaging reduces surface wind speed projection uncertainties in the 21st century over China被引量：1: 《Advances in Climate Change Research》2024年第2期222-229,共8页Zheng-Tai ZHANG Chang-Ai XU; This work was funded by the National Natural Science Foundation of China(42305025).; Accurate prediction of future surface wind speed(SWS)changes is the basis of scientific planning for wind turbines.Most studies have projected SWS changes in the 21st century over China on the basis of the multi-model...; 关键词：Surface wind speed Uncertainty Multi-model ensemble Reliability ensemble averaging CMIP6

Cholesky GAS models for large time-varying covariance matrices被引量：1: 《Journal of Management Science and Engineering》2024年第1期115-142,共28页Tingguo Zheng Shiqi Ye; The authors would like to acknowledge that this work is supported by the Basic Scientific Center of National Science Foundation of China(Project 71988101);the Humanities and Social Science Fund of Ministry of Education of the People's Republic of China under Grant No.22JJD790050;the National Natural Science Foundation of China,General Program under Grant No.71973110 and No.72373125;the National Natural Science Foundation of China,Key Program under Grant No.72033008;the Fundamental Research Funds for the Central Universities under Grant No.20720191072;the Statistical Science Research Program of China under Grant No.2022LZ37 and No.2022LZ06;the Cultivation Program of Financial Security Collaborative Innovation Center,Southwestern University of Finance and Economics under Grant No.JRXTP202202.; This paper develops a new class of multivariate models for large-dimensional time-varying covariance matrices,called Cholesky generalized autoregressive score(GAS)models,which are based on the Cholesky decomposition o...; 关键词：Cholesky decomposition GAS Dynamic conditional correlations Dynamic model averaging

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