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Debris Flow Susceptibility Evaluation in Meizoseismal Region:A Case Study in Jiuzhaigou,China

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Journal of Earth Science 2024年第1期35卷 263-279页

作者： Yongwei Li Linrong Xu yonghui Shang Shuyang Chen School of Civil Engineering Central South UniversityChangsha 410075China National Engineering Research Center of High-Speed Railway Construction Technology Central South UniversityChangsha 410075China School of Civil Engineering Central South University of Forestry and TechnologyChangsha 410004China

Jiuzhaigou is situated on a mountain-canyon region and is famous for frequent tectonic *** abundance of loose co-seismic landslides and collapses were produced on gullies after the Jiuzhaigou Earthquake on August 8,2017,which was served as material source for debris flow in later *** flow appears frequently which are seriously endangering the safety of people's lives and *** the earliest debris flow appeared in areas where no case ever reported *** debris flow susceptibility evaluation(DFSE)is used for predicting the areas prone to debris flow,which is urgently required to avoid hazards and help to guide the strategy of preventive ***,this work employs debris flow in Jiuzhaigou to reveal the characteristics of disaster-pregnant environment and to explore the application of machine learning in *** new viewpoints are suggested:(i)Material density factor of debris flow is first adopted in this work,and it is proved to be a critical factor for triggering debris flows by sensitivity analysis method.(ii)Deep neural network and convolutional neural network(CNN)achieve relatively good area under the curve(AUC)values and are 0.021-0.024 higher than traditional machine learning methods.(iii)Watershed units combined with CNNbased model can achieve more accurate,reliable and practical susceptibility *** work provides an idea for prevention of debris flow in mountainous lands.

关键词： machine learning earthquakes debris flow susceptibility convolutional neural network deep neural network watershed unit

Physiological and Transcriptome Analysis Illuminates the Molecular Mechanisms of the Drought Resistance Improved by Alginate Oligosaccharides in Triticum aestivum L.

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Phyton-International Journal of Experimental Botany 2024年第2期93卷 185-212页

作者： Yunhong Zhang yonghui Yang Jiawei Mao Institute of Plant Nutrition Agricultural Resource and Environmental ScienceHenan Academy of Agricultural SciencesZhengzhou450002China Henan Key Laboratory of Agricultural Eco-Environment Henan Academy of Agricultural SciencesZhengzhou450002China

Alginate oligosaccharides(AOS)enhance drought resistance in wheat(Triticum aestivum L.),but the definite mechanisms remain largely *** physiological and transcriptome responses of wheat seedlings treated with AOS were analyzed under drought stress simulated with polyethylene *** results showed that AOS promoted the growth of wheat seedlings and reduced oxidative damage by improving peroxidase and superoxide dismutase activities under drought stress.A total of 10,064 and 15,208 differentially expressed unigenes(DEGs)obtained from the AOS treatment and control samples at 24 and 72 h after dehydration,respectively,were mainly enriched in the biosynthesis of secondary metabolites(phenylpropanoid biosynthesis,flavonoid biosynthesis),carbohydrate metabolism(starch and sucrose metabolism,carbon fixation in photosynthetic organisms),lipid metabolism(fatty acid elongation,biosynthesis of unsaturated fatty acids,alpha-linolenic acid metabolism,cutin,suberine and wax biosynthesis),and signaling transduction *** up-regulated genes were related to,for example,chlorophyll a-b binding protein,amylosynthease,phosphotransferase,peroxidase,phenylalanine ammonia lyase,flavone synthase,glutathione *** molecules(including MAPK,plant hormones,H_(2)O_(2) and calcium)and transcription factors(mainly including NAC,MYB,MYB-related,WRKY,bZIP family members)were involved in the AOS-induced wheat drought *** results obtained in this study help underpin the mechanisms of wheat drought resistance improved by AOS,and provides a theoretical basis for the application of AOS as an environmentally sustainable biological method to improve drought resistance in agriculture.

关键词： Alginate oligosaccharides Triticum aestivum L. drought resistance transcriptomic physiological analysis

Fe-Zn alloy, a new biodegradable material capable of reducing RoS and inhibiting oxidative stress

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Regenerative Biomaterials 2024年第2期3卷 114-122页

作者： Shuaikang Yang Weiqiang Wang Yanan Xu yonghui Yuan Shengzhi Hao School of Materials Science and Engineering Dalian University of TechnologyDalian 116024PR China Clinical Research Center for Malignant Tumor of Liaoning Province Cancer Hospital of Dalian University of TechnologyShenyang 110042PR China

Fe-based biodegradable materials have attracted significant attention due to their exceptional mechanical properties and favorable ***,research on Fe-based materials mainly focuses on regulating the degradation ***,excessive release of Fe ions during material degrada-tion will induce the generation of reactive oxygen species(ROS),leading to oxidative stress and ***,the con-trol of RoS release and the improvement of biocompatibility for Fe-based materials are very *** this study,new Fe-Zn alloys were prepared by electrodeposition with the intention of using Zn as an antioxidant to reduce oxidative damage during alloy ***,the impact of three potential degra-dation ions(Fe^(2+),Fe^(3+),Zn^(2+))from the Fe-Zn alloy on human endothelial cell(EC)activity and migration ability was ***,cell adhesion,cell activity,ROs production and DNA damage were assessed at various locations surrounding the ***,the influence of different concentrations of Zn^(2+) in the medium on cell viability and ROS production was *** levels of ROS exhibited evident toxic effects on ECs and promoted DNA *** an antioxidant,Zn?+effectively reduced ROS production around Fe and improved the cell viability on its surface at a concentration of 0.04 mmol/*** findings demonstrate that Fe-Zn alloy can attenuate the ROS generated from Fe degradation therebyenhancingcytocompatibility.

关键词： biodegradable iron Fe-Zn alloys reactive oxygen species oxidative stress cytocompatibility

基于地理加权回归的莱州湾南岸土壤盐渍化与环境因子的关系研究

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地质论评 2018年第5期64卷 1180-1189页

作者：蒙永辉王集宁山东省地质环境监测总站济南250014

选取莱州湾南岸为研究区域,系统采集了111个表层土壤样品,测定了土壤全盐量以及K^+、Na^+、Ca^(2+)、Mg^(2+)、Cl^-、SO_4^(2-)、HCO_3^-和CO_3^(2-)等8种土壤盐分离子的含量,运用多元统计分析以及地理加权回归模型等方法,分析了莱州湾... 详细信息

选取莱州湾南岸为研究区域,系统采集了111个表层土壤样品,测定了土壤全盐量以及K^+、Na^+、Ca^(2+)、Mg^(2+)、Cl^-、SO_4^(2-)、HCO_3^-和CO_3^(2-)等8种土壤盐分离子的含量,运用多元统计分析以及地理加权回归模型等方法,分析了莱州湾南岸土壤盐渍化的影响因素。结果表明:①研究区土壤以盐土为主,Cl^-的浓度和变异系数远远高于其他盐分离子,在土壤表层的累积十分显著,氯化物在土壤中最为活跃。②土壤含水率、土壤干容重、土壤有机质、植被覆盖率与土壤盐渍化程度之间出现了高相关性,拟合精度高。③气温、降水、地下水埋深、地下水矿化度表现出中等相关性,拟合精度较高。④数字高程模型(DEM)、高差、土壤粒度、土壤pH表现了一般相关性,拟合精度一般。

关键词：莱州湾南岸土壤盐渍化多元统计地理加权回归模型耦合度模型

Resilient Smart Power Grid Synchronization Estimation Method for System Resilience with Partial Missing Measurements

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1307-1319页

作者： Yi Wang Yanxin Liu Mingdong Wang Venkata Dinavahi Jun Liang yonghui Sun School of Electrical and Information Engineering Zhengzhou UniversityZhengzhou 450001China Henan Engineering Research Center of Power Electronics and Energy Systems Zhengzhou 450001China Department of Electrical and Computer Engineering University of AlbertaEdmontonAB T6G 2V4Canada School of Engineering Cardiff UniversityCardiff CF243AAUK College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China IEEE

With the increasing demand for power system stability and resilience,effective real-time tracking plays a crucial role in smart grid ***,most studies have focused on measurement noise,while they seldom think about the problem of measurement data loss in smart power grid *** solve this problem,a resilient fault-tolerant extended Kalman filter(RFTEKF)is proposed to track voltage amplitude,voltage phase angle and frequency ***,a threephase unbalanced network’s positive sequence fast estimation model is ***,the loss phenomenon of measurements occurs randomly,and the randomness of data loss’s randomness is defined by discrete interval distribution[0,1].Subsequently,a resilient fault-tolerant extended Kalman filter based on the real-time estimation framework is designed using the timestamp technique to acquire partial data loss ***,extensive simulation results manifest the proposed RFTEKF can synchronize the smart grid more effectively than the traditional extended Kalman filter(EKF).

关键词： Dynamic state estimation Kalman filter partial missing measurements power systems smart grid synchronized measurements

Analysis of the Influence of Hinge Inclination on the Self Closing Force of the Door

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Analysis of the Influence of Hinge Inclination on the Self C...

In situ sulfur-doped mesoporous tungsten oxides for gas sensing toward benzene series

2021中国汽车工程学会年会暨展览会

作者： Chen Jing meng yonghui Tong Xiaoqiang Xue Feng Bao Jingru Qiao Junping BAIC Motor Co.Ltd.R＆D Center

The door closing force is one of the important factors affecting the quality of the door *** appropriate door closing force can help the passenger close the door easily and get a good driving *** combining theoretical derivation with real vehicle data,this paper summarizes the influence trend of hinge inclination layout range and heavy torque on door closing force,and then a software is developed to quickly calculate the door’ s heay moment curve,which provides a convenient optimization method for the layout of automobile hinge inclination.

关键词： door closing force hinge angle writing software

来源： cnki会议评论

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Chinese Chemical Letters 2024年第7期35卷 502-507页

作者： Yu Deng Yan Liu yonghui Deng Jinsheng Cheng Yidong Zou Wei Luo State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua UniversityShanghai 201620China Department of Chemistry State Key Laboratory of Molecular Engineering of PolymersShanghai Key Laboratory of Molecular Catalysis and Innovative MaterialsiChEMFudan UniversityShanghai 200433China Department of Polymeric Materials School of Materials Science and EngineeringTongji UniversityShanghai 201804China Henry-Fork School of Food Sciences Shaoguan UniversityShaoguan 512005China State Key Lab of Transducer Technology Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China

Benzene series as highly toxic gases have inevitably entered human life and produce great threat to human health and ecological environment,and thus it is distinctly meaningful to monitor benzene series with quickly,real-time and efficient ***,novel sulfur-doped mesoporous WO_(3)materials were synthesized via classical in-situ solvent evaporation induced co-assembly strategy combined with doping engineering,which possessed highly crystallized frameworks,high specific surface area(40.9–63.8 m^(2)/g)and uniform pore size(~18 nm).Benefitting from abundant oxygen vacancy and defects via S-doping,the tailored mesoporous S/m WO_(3)exhibited excellent benzene sensing performance,including high sensitivity(50 ppm vs.48),low detection limit(ca.500 ppb),outstanding selectivity and favorable *** addition,the reduction of band gap resulted from S-doping promotes the carrier migration in the sensing materials and the reaction at the gas–solid sensing *** provides brand-new approach to design sensitive materials with multiple reaction sites.

关键词： Mesoporous materials Benzene series Tungsten oxides Sulfur doping Gas sensor

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运筹学学报（中英文） 2024年第3期28卷 97-107页

作者： ZHOU yonghui XIAO Kai Schoolof Big Data and Computer Sciences Guizhou Normal UniversityGuiyang 550001GuizhouChina School of Mathematics and Statistics Guizhou University of Finance and EconomicsGuiyang 550001GuizhouChina

A model of continuous-time insider trading in which a risk-neutral in-sider possesses two imperfect correlated signals of a risky asset is *** conditional expectation theory and filtering theory,we first establish three lemmas:normal corre-lation,equivalent pricing and equivalent profit,which can guarantee to turn our model into a model with insider knowing full *** we investigate the impact of the two correlated signals on the market equilibrium consisting of optimal insider trading strategy and semi-strong pricing *** shows that in the equilibrium,(1)the market depth is constant over time;(2)if the two noisy signals are not linerly correlated,then all private information of the insider is incorporated into prices in the end while the whole information on the asset value can not incorporated into prices in the end;(3)if the two noisy signals are linear correlated such that the insider can infer the whole information of the asset value,then our model turns into a model with insider knowing full information;(4)if the two noisy signals are the same then the total ex ant profit of the insider is increasing with the noise decreasing,while down to O as the noise going up to infinity;(5)if the two noisy signals are not linear correlated then with one noisy signal fixed,the total ex ante profit of the insider is single-peaked with a unique minimum with respect to the other noisy signal value,and furthermore as the noisy value going to O it gets its maximum,the profit in the case that the real value is observed.

关键词： continuous-time insider trading risk neutral private correlated signals linear bayesian equilibrium market depth residual information

Weighted Linear Loss Large Margin Distribution Machine for Pattern Classification

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Chinese Journal of Electronics 2024年第3期33卷 753-765页

作者： Ling LIU Maoxiang CHU Rongfen GONG Liming LIU yonghui YANG School of Electronic and Information Engineering University of Science and Technology Liaoning

Compared with support vector machine,large margin distribution machine(LDM) has better generalization *** central idea of LDM is to maximize the margin mean and minimize the margin variance *** the computational complexity of LDM is *** order to reduce the computational complexity of LDM,a weighted linear loss LDM(WLLDM) is *** framework of WLLDM is built based on LDM and the weighted linear *** weighted linear loss is adopted instead of the hinge loss in *** modification can transform the quadratic programming problem into a simple linear equation,resulting in lower computational ***,WLLDM has the potential to deal with large-scale *** WLLDM is similar in principle to the LDM algorithm,which can optimize the margin distribution and achieve better generalization *** WLLDM algorithm is compared with other models by conducting experiments on different *** results show that the proposed WLLDM has better generalization performance and faster training speed.

关键词： Training Support vector machines Pattern classification Transforms Fasteners Mathematical models Vectors