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computer Modeling in Engineering & Sciences 2020年第4期123卷 217-235页

作者： Shuifen Zhan Mingchao Wang Min Wang Qianqian Shao Zefang Zhang Wenxin Jiang Xuemin Chen lanzhou Jiaotong University Lanzhou730070China Tianjin Research Institute for Water Transport Engineering M.O.T.Tianjin300456China Tianjin Dongfang Tairui technology co.ltd. Tianjin300192China Guangdong University of Petrochemical technology Maoming525000China Beijing computational Science Research Center Beijing100193China

considering the accidents of ships for dangerous chemicals transportation in inland rivers,a numerical method for the simulation of the leakage and diffusion processes of dangerous chemicals in inland rivers is proposed in this *** information,such as rivers and buildings in the model,is obtained through Google Earth and structures of rivers and buildings are described by Auto *** addition,the Fluent is adopted to simulate the leakage and diffusion processes of the dangerous chemicals where the standard k-εmodel is used to calculate the turbulent *** the interaction between chemicals and water,the VOF method is used to describe the leakage,drift and diffusion process of dangerous chemicals groups on the water *** a section of the Yangtze River as an example,the leakage and diffusion processes from a ship carrying 3,000 tons of low-solubility and low-volatile dangerous chemicals are studied,and the characteristics of leakage and diffusion are analyzed in *** the simulation,the area of the maximum group of leaked dangerous chemicals reaches up to about 1800 m2,and the number reaches up to ***,the influence of density,viscosity,water velocity and leakage velocity on the leakage and diffusion processes is investigated in this paper.

关键词： Inland rivers low-solubility and low-volatile dangerous chemicals leakage and diffusion VOF.

ResLNet:deep residual LSTM network with longer input for action recognition

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Frontiers of computer Science 2022年第6期16卷 41-49页

作者： Tian WANG Jiakun LI Huai-Ning WU Ce LI Hichem SNOUSSI Yang WU Institute of Artificial Intelligence Beihang UniversityBeijing100191China School of Automation Science and Electrical Engineering Beihang UniversityBeijing100191China college of Electrical and information Engineering Lanzhou University of TechnologyLanzhou730050China Institute Charles Delaunay-LM2S FRE CNRS 2019 University of Technology of TroyesTroyes10010France Institute for Research Initiatives Nara Institute of Science and TechnologyNara630-0192Japan

Action recognition is an important research topic in video analysis that remains very *** recognition relies on learning a good representation of both spatial information(for appearance)and temporal information(for motion).These two kinds of information are highly correlated but have quite different properties,leading to unsatisfying results of both connecting independent models(e.g.,CNN-LSTM)and direct unbiased co-modeling(e.g.,3DCNN).Besides,a long-lasting tradition on this task with deep learning models is to just use 8 or 16 consecutive frames as input,making it hard to extract discriminative motion *** this work,we propose a novel network structure called ResLNet(Deep Residual LSTM network),which can take longer inputs(e.g.,of 64 frames)and have convolutions collaborate with LSTM more effectively under the residual structure to learn better spatial-temporal representations than ever without the cost of extra computations with the proposed embedded variable stride *** superiority of this proposal and its ablation study are shown on the three most popular benchmark datasets:Kinetics,HMDB51,and *** proposed network could be adopted for various features,such as RGB and optical *** to the limitation of the computation power of our experiment equipment and the real-time requirement,the proposed network is tested on the RGB only and shows great performance.

关键词： action recognition deep learning neural network

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SNP site-drug association prediction algorithm based on denoising variational auto-encoder

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Journal of Measurement Science and Instrumentation 2022年第3期13卷 300-308页

作者： SONG Xiaoyu FENG Xiaobei ZHU Lin LIU Tong WU Hongyang LI Yifan School of Electronic and information Engineering Lanchou Jiaotong UniversityLanzhou 730070China lanzhou Blue Whale information technology co. Ltd.Lanzhou 730070China

Single nucletide polymorphism(SNP)is an important factor for the study of genetic variation in human families and animal and plant ***,it is widely used in the study of population genetics and disease related *** pharmacogenomics research,identifying the association between SNP site and drug is the key to clinical precision medication,therefore,a predictive model of SNP site and drug association based on denoising variational auto-encoder(DVAE-SVM)is ***,k-mer algorithm is used to construct the initial SNP site feature vector,meanwhile,MACCS molecular fingerprint is introduced to generate the feature vector of the drug ***,we use the DVAE to extract the effective features of the initial feature vector of the SNP ***,the effective feature vector of the SNP site and the feature vector of the drug module are fused input to the support vector machines(SVM)to predict the relationship of SNP site and drug *** results of five-fold cross-validation experiments indicate that the proposed algorithm performs better than random forest(RF)and logistic regression(LR)*** experiments show that compared with the feature extraction algorithms of principal component analysis(PCA),denoising auto-encoder(DAE)and variational auto-encode(VAE),the proposed algorithm has better prediction results.

关键词： association prediction k-mer molecular fingerprinting support vector machine(SVM) denoising variational auto-encoder(DVAE)

Analytical solutions for full-field radiations of magnetoelectric antennas with nonlinear magnetoelastic coupling

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Acta Mechanica Sinica 2024年第7期40卷 109-121页

作者： Baoxin Lei Zhixiong You Zhidong Zhang Yang Shi Research Center for Applied Mechanics School of Mechano-Electronic EngineeringXidian UniversityXi'an 710071China China Telecom WanWei information technology co. Ltd.Lanzhou 730010China

This paper presents analytical solutions for full-field radiation in magnetoelectric(ME)antennas,considering a fully magnetoelastic coupled constitutive relation.A nonlinear converse ME coupling model is established,incorporating mechanical,electric,and magnetic variables with generalized Maxwell *** model emphasizes the essence of ME antennas,where radiation is achieved through strain/stress-mediated coupling between different *** magnetic flux density and electric displacement obtained from the model are used as sources to solve the full-field radiations of ME *** proposed model is validated through existing experiments and simulations,demonstrating that the radiation performance of ME antennas is strongly influenced by nonlinear magneto-elastic *** material parameters and magnetic bias significantly impact the magnetic flux density and far-field radiation due to the nonlinear magnetization *** study reveals the mechanisms behind enhanced working bandwidth and frequency tuning by examining the frequency response of the radiation impedance with material *** adjusting the initial magnetization rate,saturation magnetostriction,and saturation magnetization,the radiation efficiency/gain can be increased by 340%,108%,and 112%*** model enhances our understanding of the full-field radiation of ME antennas and provides a foundation for designing tunable ME antennas.

关键词： ME antenna Full-field radiation Magneto-elastic coupling Radiation patterns

Drivers,Trends,and Patterns of Changing Vegetation-greenness in Nansha Islands,China from 2016 to 2022

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Chinese Geographical Science 2024年第4期34卷 662-673页

作者： TANG Jiasheng FU Dongjie SU Fenzhen YU Hao WANG Xinhui Faculty of Geomatics Lanzhou Jiaotong UniversityLanzhou 730070China State Key Laboratory of Resources and Environmental information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China collaborative Innovation Center of South China Sea Studies Nanjing 210023China college of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China Beijing North-Star technology Development co. LtdBeijing 100120China

Changes in vegetation status generally also represents changes in the ecological health of islands and reefs(IRs).However,studies are limited of drivers and trends of vegetation change of Nansha Islands,China and how they relate to climate change and human *** resolve this limitation,we studied changes to the Normalized Difference Vegetation Index(NDVI)vegetation-greenness index for 22 IRs of Nansha Islands during normal and extreme *** of vegetation greenness were analyzed using Sen's slope and Mann-Kendall test at two spatial scales(pixel and island),and driving factor analyses were performed by time-lagged partial correlation *** were related to impacts from human activities and climatic factors under normal(temperature,precipitation,radiation,and Normalized Difference Built-up Index(NDBI))and extreme conditions(wind speed and latitude of IRs)from 2016 to *** showed:1)among the 22 IRs,NDVI increased/decreased significantly in 15/4 IRs,*** Reef had the highest NDVI change-rate(0.48%/mon),and Zhongye Island had the lowest(–0.29%/mon).Local spatial patterns were in one of two forms:dotted-form,and degradation in banded-form.2)Under normal conditions,human activities(characterized by NDBI)had higher impacts on vegetation-greenness than other factors.3)Under extreme conditions,wind speed(R^(2)=0.2337,P<0.05)and latitude(R^(2)=0.2769,P<0.05)provided limited explanation for changes from typhoon *** results provide scientific support for the sustainable development of Nansha Islands and the United Nations‘Ocean Decade’initiative.

关键词： island and reefs(IRs) Normalized Difference Vegetation Index(NDVI) vegetation-greenness change-rate Sen's slope Nansha Islands China

Abiogenic hydrocarbons in commercial gases from the Songliao Basin,China

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Science China Earth Sciences 2009年第5期52卷 213-226页

作者： WANG XianBin GUO ZhanQian TUO JinCai GUO HongYan LI ZhenXi ZHUO ShengGuang JIANG HongLiang ZENG LongWei ZHANG MingJie WANG LianSheng LIU ChunXue YAN Hong LI LiWu ZHOU XiaoFeng WANG YongLi YANG Hui WANG Guang Key Laboratory of Gas Geochemistry Chinese Academy of SciencesLanzhou 730000China Daqing Oilfield company ltd. Daqing 163712China Institute of Earth Sciences and information technology Northeast University at QinhuangdaoQinhuangdao 066000China School of Earth and Environment Sciences Lanzhou UniversityLanzhou 730000China

This paper discusses the kinetic fractionation, composition and distribution characteristics of carbon and hydrogen isotopes for various alkane gases formed in different environments, by different mechanisms and from different sources in nature. It is demonstrated that the biodegradation or thermodegradation of complex high-molecule sedimentary organic material can form microbial gas or thermogenic gas. The δ13C1 value ranges from ?110% to ?50% for microbial gases but from ?50% to ?35% (even heavier) for thermogenic gases. controlled by the kinetic isotope fractionation, both microbial and thermogenic gases have δ13C and δ D values characterized by normal distribution, i.e. δ13C1correlation between the δ 13C and δ D values. Simple carbon-bearing molecules (CH4, co and co2) can form abiogenic alkane gases via polymerization in the abiological chemical process in nature, with δ13C1 heavier than ?30‰ Moreover, controlled by the kinetic isotope fractionation, abiogenic alkane gases are characterized by a reverse distribution of δ 13C values and a normal trend of δ D values, namely δ13C1> δ 13C2> δ 13C3> δ 13C4 and $ \delta D_{CH_4 } correlated. Natural gases from 26 commercial gas wells distributed in the Xujiaweizi and Yingshan-Miaotaizi faulted depressions in the Songliao Basin, China, show δ13C1 values ranging from ?30.5% to ?16.7% with a very narrow δ D range between ?203‰?196‰ These gases are characterized by a reverse distribution of δ 13C values but a normal distribution of δ C values, and a negative correlation between their δ 13C and δ C values, indicating an abiological origin. The present study has revealed that abiogenic hydrocarbons not only exist in nature but also can make significant contribution to

关键词： generation mechanism of natural gases kinetic isotope fractionation the Songliao Basin of China commercial abiogenic hydrocarbon gaspool

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Morphologies of intermetallic compound phases in Sn-Cu and Sn-co peritectic alloys during directional solidification

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China Foundry 2022年第5期19卷 411-418页

作者： Peng Peng Jin-mian Yue An-qiao Zhang Jia-tai Wang Jiang-lei Fan School of Physics and Electronic information Engineering Qinghai Normal UniversityXining 753000China School of Materials and Energy Lanzhou UniversityLanzhou 730000China Northwest Rare Metal Materials Research Institute Shizuishan 753099NingxiaChina Shanxi Taigang Stainless Steel co. Ltd.Taiyuan 030003China School of Mechanical and Electrical Engineering Zhengzhou University of Light IndustryZhengzhou 450000China

The morphologies of intermetallic phases(IMCs)during directional solidification of the Sn-Cu(L+Cu_(3)Sn→Cu_(6)Sn_(5))and Sn-co(L+coSn→coSn_(2))peritectic systems were *** primary Cu_(3)Sn and peritectic Cu_(6)Sn_(5)phases in Sn-Cu alloy are IMCs whose solubility ranges are narrow,while both the primary coSn and peritectic coSn_(2)phases in Sn-co alloy are IMCs whose solubility ranges are nil in equilibrium *** experimental results before acid corrosion shows that the dendritic morphology of both the Cu_(6)Sn_(5)and coSn_(2)phases can be *** investigation on the local dendritic morphology after deep acid corrosion shows that these dendrites are composed of small sub-structures with faceted *** growth of the primary Cu_(3)Sn and coSn phases is also confirmed,and a faceted to non-faceted transition in their morphologies is observed with increasing growth *** analysis shows that the dendritic morphology is formed in the solidified phases whose solubility range is larger during peritectic solidification.

关键词： intermetallic compound phase peritectic alloy directional solidification solubility range sub-structure

Isotopic composition of organic carbon and elemental carbon in PM2.5 in Hangzhou, China

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Chinese Science Bulletin 2007年第17期52卷 2435-2437页

作者： LIU Gang ZHANG XuXian TENG WeiLin YANG Hui college of Environmental Science and Engineering Nanjing University of Information Science & Technology Nanjing 210044 China Laboratory of Gas Geochemistry Lanzhou Institute of Geology Chinese Academy of Sciences Lanzhou 730000 China Laboratory of Chemistry Hangzhou Center for Disease Control and Prevention Hangzhou 310006.China

In order to identify the sources of organic carbon (OC) and elemental carbon (EC) in airborne PM2.5 in Hangzhou, OC and EC were oxidized to co2 offline in two thermal steps, and their carbon isotope compositions were measured by mass spectrometer. Results showed that the average δ13coC values were -52.8‰, -48.1‰, -50.0‰ and -52.5‰ in spring, summer, autumn, and winter, respectively, and the annual average value was -50.9‰ (-85.0‰ to -35.6‰), whereas δ13CEC values were -26.4‰, -26.9‰, -26.7‰ and -25.9‰ in the four seasons, and its annual value was -26.5‰ (-30.5‰ to -23.8‰). Large differences were found between isotope compositions of the two types of carbon. δ13coC values were much smaller than those of δ13CEC, and varied in a large range, and the ratios in both spring and winter were the smallest. δ13CEC varied in a small range, and its mean values in four seasons were nearly the same. This suggests that the carbon isotope compositions of OC and EC in PM2.5 can provide useful information in distinguishing their sources.

关键词：有机碳元素碳碳同位素 PM2.5 中国杭州大气污染

Effect of hydrogen plasma implantation on the micro-structure and magnetic properties of hcp-co_(80)^(57)Fe_(4)Ir_(16)thin films

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Chinese Physics B 2021年第5期30卷 644-649页

作者： Hui Wang Meng Wu Haiping Zhou Bo Zhang Shixin Hu Tianyong Ma Zhiwei Li Liang Qiao Tao Wang Fashen Li Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education Key Laboratory for Special Functional Materials and Structure Design of the Ministry of EducationLanzhou UniversityLanzhou 730000China Department of Physics Xiamen UniversityXiamen 361005China School of Materials and Energy University of Electronic Science and Technology of ChinaChengdu 611731China School of Electrical and information Engineering North Minzu UniversityYinchuan 750021China

We present detailed investigations of structural and static/dynamic magnetic properties of hydrogenated hcp-co_(80)^(57)Fe_(4)Ir_(16) soft magnetic thin *** different kinds of defects,i.e.,destructive and non-destructive,were demonstrated by controlling the negative bias voltage of the hydrogenation *** results show that the structure and magnetic properties of our sample can be tuned by the density of the induced *** results provide better understanding of the hydrogenation effect and thus can be used in the future for materials processing to meet the requirements of different devices.

关键词： soft magnetic thin film hydrogen plasma implantation Mössbauer spectroscopy

Protective Factors for Loneliness among Adolescents during coVID-19: Role of the Interpersonal Relationships and Sibling Status

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International Journal of Mental Health Promotion 2021年第4期23卷 499-511页

作者： Sha Shen Saidi Wang Md Zahir Ahmed Fatema Akhter Hiramoni Jingrong Sha Xiangdong Yan Mary C.Jobe Oli Ahmed college of Educational Science and technology Northwest Minzu UniversityLanzhou730030China Gansu 24 Refractive New Media technology co. Ltd.Lanzhou730030China School of Psychology Northwest Normal UniversityLanzhou730070China Department of Economics Sheikh Hasina UniversityNetrokona2410Bangladesh Shanghai Hui Ye(lanzhou)Law Office Lanzhou730030China Department of Psychological and Brain Sciences The George Washington UniversityWashington DC20052USA Department of Psychology University of ChittagongChattogram4331Bangladesh

This study examined the moderating effects of parent-child,same-sex,opposite-sex and teacher-student relation-ships between sibling status and loneliness during coVID-19.A total of 1,591 adolescents in China completed the study questionnaires which assessed the aforementioned *** results showed that same-sex and teacher-student relationships moderated the association between sibling status and *** results indicated that among participants with good same-sex relationships during coVID-19,compared to non-only-children parti-cipants,the only-children participants were more likely to experience a lower level of ***,parti-cipants with poor same-sex relationships experienced similar level of loneliness regardless of whether they had *** would be helpful for parents,teachers,and other stakeholders to take effective measures to reduce loneliness feelings among Chinese adolescents.

关键词： coVID-19 only-children and non-only children interpersonal relationships loneliness moderating effects