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Railway switch fault diagnosis based on Multi-heads Channel Self Attention,Residual Connection and Deep CNN

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Transportation Safety and Environment 2023年第1期5卷 58-65页

作者： Xirui Chen hui Liu Zhu duan Institute of Artificial Intelligence&Robotics(IAIR) Key Laboratory of Traffic Safety on Track of Ministry of EducationSchool of Traffic and Transportation EngineeringCentral South UniversityChangsha 410075HunanChina.

A novel switch diagnosis method based on self-attention and residual deep convolutional neural networks(CNNs)is *** of the imbalanced dataset,the K-means synthetic minority oversampling technique(SMOTE)is applied to balancing the dataset at ***,the deep CNN is utilized to extract local features from long power curves,and the residual connection is performed to handle the performance *** the end,the multi-heads channel self attention focuses on those important local *** ablation and comparison experiments are applied to verifying the effectiveness of the proposed *** the residual connection and multi-heads channel self attention,the proposed method has achieved an impressive accuracy of 99.83%.The t-SNE based visualizations for features of the middle layers enhance the trustworthiness.

关键词： fault diagnosis railway switch residual connection channel self-attention deep convolutional neural network

Effect of grain boundary on the mechanical behaviors of irradiated metals: a review

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Science China(Physics,Mechanics & Astronomy) 2016年第6期59卷 24-34页

作者： Xia Zi Xiao Hai Jian Chu hui Ling duan State Key Laboratory for Turbulence and Complex System Department of Mechanics and Engineering Science College of EngineeringPeking University HEDPS Center for Applied Physics and Technology Peking University Department of Mechanics and Shanghai Institute of Applied Mathematics and Mechanics Shanghai University Shanghai Key Laboratory of Mechanics in Energy Engineering Shanghai University

The design of high irradiation-resistant materials is very important for the development of next-generation nuclear reactors. Grain boundaries acting as effective defect sinks are thought to be able to moderate the deterioration of mechanical behaviors of irradiated materials, and have drawn increasing attention in recent years. The study of the effect of grain boundaries on the mechanical behaviors of irradiated materials is a multi-scale problem. At the atomic level, grain boundaries can effectively affect the production and formation of irradiation-induced point defects in grain interiors, which leads to the change of density, size distribution and evolution of defect clusters at grain level. The change of microstructure would influence the macroscopic mechanical properties of the irradiated polycrystal. Here we give a brief review about the effect of grain boundaries on the mechanical behaviors of irradiated metals from three scales: microscopic scale, mesoscopic scale and macroscopic scale.

关键词： mechanical behaviors irradiation effect grain boundary multi-scale modeling

A Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Based on Multi-Factor Analysis and a Multi-Model Ensemble

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Engineering 2021年第12期7卷 1751-1765页

作者： hui Liu Rui Yang Zhu duan Haiping Wu Institute of Artificial Intelligence and Robotics(IAIR) Key Laboratory of Traffic Safety on Track of Ministry of EducationSchool of Traffic and Transportation EngineeringCentral South UniversityChangsha 410075China

Dissolved oxygen(DO)is an important indicator of aquaculture,and its accurate forecasting can effectively improve the quality of aquatic *** this paper,a new DO hybrid forecasting model is proposed that includes three stages:multi-factor analysis,adaptive decomposition,and an optimizationbased ***,considering the complex factors affecting DO,the grey relational(GR)degree method is used to screen out the environmental factors most closely related to *** consideration of multiple factors makes model fusion more ***,the series of DO,water temperature,salinity,and oxygen saturation are decomposed adaptively into sub-series by means of the empirical wavelet transform(EWT)***,five benchmark models are utilized to forecast the sub-series of EWT *** ensemble weights of these five sub-forecasting models are calculated by particle swarm optimization and gravitational search algorithm(PSOGSA).Finally,a multi-factor ensemble model for DO is obtained by weighted *** performance of the proposed model is verified by timeseries data collected by the pacific islands ocean observing system(PacIOOS)from the WQB04 station at *** evaluation indicators involved in the experiment include the Nash–Sutcliffe efficiency(NSE),Kling–Gupta efficiency(KGE),mean absolute percent error(MAPE),standard deviation of error(SDE),and coefficient of determination(R^(2)).Example analysis demonstrates that:①The proposed model can obtain excellent DO forecasting results;②the proposed model is superior to other comparison models;and③the forecasting model can be used to analyze the trend of DO and enable managers to make better management decisions.

关键词： Dissolved oxygen concentrations forecasting Time-series multi-step forecasting Multi-factor analysis Empirical wavelet transform decomposition Multi-model optimization ensemble

The Nature of the West Junggar Basement:Evidence from Magmatic and Detrital Zircon U-Pb Ages

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Acta Geologica Sinica(English Edition) 2021年第2期95卷 691-692页

作者： duan Fenghao LI Yongjun zhi Qian YANG Gaoxue School of Geological Engineering and Geomatics Chang'an UniversityXi'an 710054China School of Earth Science and Resources Chang'an UniversityXi'an 710054China Key Laboratory for the Study of Focused Magmatism and Giant Ore Deposits MNRXi'an 710054China

Objective West Junggar,which is located in the southwestern segment of the Central Asian Orogenic Belt(CAOB),is an important tectonic unit in the evaluation and examination of the largest continental accretion on Earth,playing a significant role in understanding the tectonic evolution and crustal growth within the orogenic belt(Xiao and Santosh,2014).However,no precise record of ancient continental blocks is found in West Junggar,owing to the extensive coverage and later structural reconstructions.

关键词： continental tectonic crustal

A Whole-brain Map of Long-range Inputs to GABAergic Interneurons in the Mouse Caudal Forelimb Area

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Neuroscience Bulletin 2020年第5期36卷 493-505页

作者： Zhuonan duan Anan Li hui Gong Xiangning Li Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and TechnologyWuhan 430074China Ministry of Education Key Laboratory for Biomedical Photonics School of Engineering SciencesHuazhong University of Science and TechnologyWuhan 430074China Huazhong University of Science and Technology-Suzhou Institute for Brainsmatics Suzhou 215125China

The caudal forelimb area(CFA)of the mouse cortex is essential in many forelimb movements,and diverse types of GABAergic interneuron in the CFA are distinct in the mediation of cortical inhibition in motor information ***,their long-range inputs remain *** the present study,we combined the monosynaptic rabies virus system with Cre driver mouse lines to generate a whole-brain map of the inputs to three major inhibitory interneuron types in the *** discovered that each type was innervated by the same upstream areas,but there were quantitative differences in the inputs from the cortex,thalamus,and *** the locations of the interneurons in two subregions of the CFA,we discovered that their long-range inputs were remarkably different in distribution and *** whole-brain mapping indicates the existence of parallel pathway organization in the forelimb subnetwork and provides insight into the inhibitory processes in forelimb movement to reveal the structural architecture underlying the functions of the CFA.

关键词： Forelimb area Input circuit Interneuron Parvalbumin Somatostatin Vasoactive intestinal peptide

Brake Orbits of a Reversible Even Hamiltonian System Near an Equilibrium

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Acta Mathematica Sinica,English Series 2022年第1期38卷 263-280页

作者： Zhong Jie LIU Fan Jing WANG duan zhi ZHANG School of Science Tianjin Chengjian UniversityTianjin 300384P.R.China School of Mathematics and Statistics Shanghai Lixin University of Accounting and FinanceShanghai 201209P.R.China School of Mathematical Sciences and LPMC Nankai UniversityTianjin 300071P.R.China

In this paper,we consider the brake orbits of a reversible even Hamiltonian system near an *** the Hamiltonian system(H S)x=J H(x)satisfies H(0)=0,H(0)=0,reversible and even conditions H(Nx)=H(x)and H(-x)=H(x)for all x∈R^(2n).Suppose the quadratic form Q(x)=1/2 is ***τ_(0)>0 and assume that R^(2n)=E⊕F decomposes into linear subspaces E and F which are invariant under the flow associated to the linear system x=J H''(0)x and such that each solution of the above linear system in E isτ_(0)-periodic whereas no solution in F{0}isτ_(0)-***σ(τ_(0))=σ_Q(τ_(0))for the signature of Q|***σ(τ_(0))≠=0,we prove that either there exists a sequence of brake orbits x_k→0 withτk-periodic on the hypersurface H^(-1)(0)whereτ_k→τ_(0);or for eachλclose to 0 withλ_(σ)(τ_(0))>0 the hypersurface H-1(λ)contains at least 1/2|σ(τ_(0))|distinct brake orbits of the Hamiltonian system(HS)near 0 with periods nearτ_(0).Such result for periodic solutions was proved by Bartsch in 1997.

关键词： Brake orbits reversible Hamiltonian systems equilibrium even length and Conley index

Prediction of users online purchase behavior based on selective ensemble learning

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High Technology Letters 2023年第2期29卷 206-212页

作者：谭惠 duan Yong School of In formation Science Engineering Shenyang University of TechnologyShenyang 110870P.R.China

A probabilistic multi-dimensional selective ensemble learning method and its application in the prediction of users' online purchase behavior are studied in this ***, the classifier is integrated based on the dimension of predicted probability, and the pruning algorithm based on greedy forward search is obtained by combining the two indicators of accuracy and *** the pruning algorithm is integrated into the Stacking ensemble method to establish a user online shopping behavior prediction model based on the probabilistic multi-dimensional selective ensemble ***, the research method is compared with the prediction results of individual learners in ensemble learning and the Stacking ensemble method without *** experimental results show that the proposed method can reduce the scale of integration, improve the prediction accuracy of the model, and predict the user's online purchase behavior.

关键词： users'online purchase behavior Stacking selective ensemble ensemble pruning feature engineering

Antithetical impacts of deleterious LRP1B mutations in non-squamous and squamous NSCLCs on predicting benefits from immune checkpoint inhibitor alone or with chemotherapy over chemotherapy alone: retrospective analyses of the POPLAR/OAK and CHOICE-01 trial

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Science China Life Sciences 2025年第1期 249-262页

作者： Jinliang Wang Wenyong Zhou Yu Xu Jianchun duan Qiaoxia Zhou Guoqiang Wang Leo Li Chunwei Xu Wenxian Wang Shangli Cai zhijie Wang Jie Wang Department of Oncology The Fifth Medical Center of Chinese PLA General Hospital Department of Thoracic Surgery Shanghai Chest HospitalSchool of MedicineShanghai Jiao Tong University Burning Rock Biotech CAMS Key Laboratory of Translational Research on Lung Cancer State Key Laboratory of Molecular OncologyDepartment of Medical OncologyNational Cancer Center/National Clinical Research Center for ancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical College Institute of Basic Medicine and Cancer (IBMC) Chinese Academy of Sciences Department of Clinical Trial The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital)

In non-small cell lung cancers,the non-squamous and squamous subtypes（nsqNSCLC and sqNSCLC） exhibit disparities in pathophysiology,tumor immunology,and potential genomic correlates affecting responses to immune checkpoint inhibitor（ICI）-based *** our inhouse training cohort（n=85）,the presence of the LRP1B deleterious mutation（LRP1B-del） was associated with longer and shorter progression-free survival（PFS） on ICIs alone in nsqNSCLCs and sqNSCLCs,respectively(Pinteraction=0.008).These results were validated using a larger public ICI cohort(n=208,Pinteraction<0.001).Multiplex immunofluorescence staining revealed an association between LRP1B-del and increased and decreased numbers of tumor-infiltrating CD8+T cells in nsqNSCLCs（P=0.040） and sqNSCLCs（P=0.014）,*** the POPLAR/OAK cohort,nsqNSCLCs with LRP1B-del demonstrated improved PFS benefits from atezolizumab over docetaxel(hazard ratio（HR）=0.70,P=0.046),whereas this benefit was negligible in those without LRP1B-del（HR=1.05,P=0.64）.Conversely,sqNSCLCs without LRP1B-del benefited more from atezolizumab（HR=0.60,P=0.002） than those with LRP1B-del（HR=1.30,P=0.31）.Consistent results were observed in the in-house CHOICE-01 cohort,in which nsqNSCLCs with LRP1B-del and sqNSCLCs without LRP1B-del benefited more from toripalimab plus chemotherapy than from chemotherapy alone(Pinteraction=0.008).This multi-cohort study delineates the antithetical impacts of LRP1B-del in nsqNSCLCs and sqNSCLCs on predicting the benefits from ICI alone or with chemotherapy over chemotherapy *** findings highlight the distinct clinical utility of LRP1B-del in guiding treatment choices for nsqNSCLCs and sqNSCLCs,emphasizing the necessity for a detailed analysis based on pathological subtypes when investigating biomarkers for cancer therapeutics.

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Transcriptomics reveals the effect of ammonia nitrogen concentration on Pseudomonas stutzeri F2 assimilation and the analysis of amtB function

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Synthetic and Systems Biotechnology 2023年第2期8卷 262-272页

作者： Wei-lai Fu Pei-feng duan Qiang Wang Ya-xin Liao Yun-shuang Wang Mei-juan Xu hui-hui Jiang Xian Zhang zhi-ming Rao The Key Laboratory of Industrial Biotechnology Ministry of EducationSchool of BiotechnologyJiangnan UniversityWuxi214122PR China The Key Laboratory of Functional Aquafeed and Culture Environment Control Fujian DBN Huayou Aquatic Science and Technology Co.LtdZhangzhou363500PR China School of Biological and Environmental Engineering Chaohu UniversityHefei238024PR China

The biological treatment of wastewater with high concentrations of ammonia nitrogen has become a hot research issue,but there are limited reports on the mechanism of ammonia nitrogen utilization by *** this paper,a transcriptomic approach was used to investigate the differences in gene expression at 500.0 mg/L(Amo 500)and 100.0 mg/L(Amo 100)ammonium concentrations to reveal the mechanism of ammonia nitrogen removal from water by Pseudomonas stutzeri *** transcriptome data showed 1015(459 up-regulated and 556 down-regulated)differentially expressed genes with functional gene annotation related to nitrogen source metabolism,glycolysis,tricarboxylic acid cycle,extracellular polysaccharide synthesis,energy conversion and transmembrane transport,revealing the metabolic process of ammonium nitrogen conversion to biological ni-trogen in *** F2 through *** verify the effect of ammonium transporter protein(AmtB)of cell membrane on assimilation,a *** F2-ΔamtB mutant strain was obtained by constructing a knockout plasmid(pK18mobsacB-ΔamtB),and it was found that the growth characteristics and ammonium removal rate of the mutant strain were significantly reduced at high ammonium *** carbon source components and dissolved oxygen conditions were optimized after analyzing the transcriptome data,and the ammonium removal rate was increased from 41.23%to 94.92%with 500.0 mg/L ammonium *** study of *** F2 transcript level reveals the mechanism of ammonia nitrogen influence on microbial assimilation process and improvement strategy,which provides a new strategy for the treatment of ammonia nitrogen wastewater.

关键词： Ammonia nitrogen Pseudomonas stutzeri F2 Transcriptomic Assimilation amtB