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A novel multi-state bogie system reliability evaluation approach by extended d-MC model for high-speed trains

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Transportation Safety and Environment 2024年第3期6卷 35-46页

作者： Yong Fu Ruoqu Liu Jisheng Dai Wenlong Zhu Xin Liu Yong Qin Zhuzhou CRRC Times Electric Co. Ltd.Times RoadShifeng DistrictZhuzhouHunan 412001China Department of Statistics University of WarwickCoventry CV47ALUnited Kingdom State Key Lab of Rail Traffic Control&Safety Beijing Jiaotong UniversityHaidian DistrictBeijing 100044China

Bogie is a pivotal system and plays a critical part in the safety and reliability management of high-speed ***,the available bogie system reliability analysis methods lack the consideration of multi-state characteristics,and the common multi-state reliability analysis methods,being an NP-hard problem,lead to low *** order to overcome these drawbacks,this paper proposes a novel multi-state rail train bogie system reliability analysis approach based on the extended d-MC *** different function interactions within the bogie system are considered to build the multi-state bogie system flow network ***,an extended d-MC model is established to remove unnecessary d-MC candidates and duplicates,which greatly enhances the computing *** bogie system reliability is calculated,and examples are *** experiments are carried out for the different operational conditions of the bogie system and are used to test the practicability of the method proposed in this article;it is found that this method outperforms a newly developed method in solving multi-state reliability problems.

关键词： multi-state system reliability bogie flow network extended d-MC model

Economic Risk Assessment of Future Debris Flows by Machine Learning Method

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International Journal of Disaster Risk Science 2024年第1期15卷 149-164页

作者： Chenchen Qiu Lijun Su Alessandro Pasuto Giulia Bossi Xueyu Geng School of Engineering University of WarwickCoventry CV47ALUK Key Laboratory of Mountain Hazards and Earth Surface Process Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610041China Research Institute for Geo-Hydrological Protection(IRPI-CNR) National Research Council of ItalyPadova 35127Italy

A reliable economic risk map is critical for effective debris-flow ***,the uncertainties surrounding future scenarios in debris-flow frequency and magnitude restrict its *** estimate the economic risks caused by future debris flows,a machine learning-based method was proposed to generate an economic risk map by multiplying a debris-flow hazard map and an economic vulnerability *** selected the Gyirong Zangbo Basin as the study area because frequent severe debris flows impact the area every *** debris-flow hazard map was developed through the multiplication of the annual probability of spatial impact,temporal probability,and annual *** employed a hybrid machine learning model-certainty factor-genetic algorithm-support vector classification-to calculate ***,a Poisson model was applied for temporal probabilities,while the determination of annual probability of spatial impact relied on statistical ***,four major elements at risk were selected for the generation of an economic loss map:roads,vegetation-covered land,residential buildings,and *** economic loss of elements at risk was calculated based on physical vulnerabilities and their economic ***,we proposed a physical vulnerability matrix for residential buildings,factoring in impact pressure on buildings and their horizontal distance and vertical distance to debrisflow *** this context,an ensemble model(XGBoost) was used to predict debris-flow volumes to calculate impact pressures on *** results show that residential buildings occupy 76.7% of the total economic risk,while roadcovered areas contribute approximately 6.85%.Vegetation-covered land and farmland collectively represent 16.45% of the entire *** findings can provide a scientific support for the effective mitigation of future debris flows.

关键词： Economic risk Future debris fows Gyirong Zangbo Basin Machine learning model Physical vulnerability matrix Southwest Tibet,China

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LHCb实验上前向区域的电弱物理测量

科学通报 2024年

作者：尹航徐梦琳华中师范大学粒子物理研究所 university of warwick

电弱统一理论是粒子物理标准模型的重要组成部分.精确测量电弱理论的基本参数是检验标准模型和间接寻找超标准模型新物理的重要途径.大型强子对撞机上的LHCb探测器是一个覆盖前向接受度区域的单臂探测器.LHCb实验在前向快度区域的电弱... 详细信息

电弱统一理论是粒子物理标准模型的重要组成部分.精确测量电弱理论的基本参数是检验标准模型和间接寻找超标准模型新物理的重要途径.大型强子对撞机上的LHCb探测器是一个覆盖前向接受度区域的单臂探测器.LHCb实验在前向快度区域的电弱物理测量和质子部分子分布函数测量与ATLAS、CMS实验在中心快度区域的相关测量形成良好互补,能够有效提升电弱物理参数的测量精度、降低系统不确定性.本文介绍了电弱物理及其重要性,综述了LHCb实验上最新的电弱精确测量,包括以下结果:利用第一和第二运行期内采集的质子-质子对撞数据,对W质量、弱混合角等基本参数进行了精确测量,对前向区域的Z玻色子产生截面以及极化进行了测量,为质子部分子分布函数的全局拟合提供了重要且独特的输入;在玻色子伴随粲夸克的产生过程中发现了质子内部存在内秉粲夸克组分的迹象;在Z/W玻色子的稀有衰变方面进行了初步探索.这些实验结果表明LHCb实验在电弱物理方面发挥了极其重要的作用.未来LHCb探测器升级后获取的更多实验数据将进一步提升我们对电弱理论以及质子部分子分布函数的理解.

关键词：电弱物理大型强子对撞机标准模型质子部分子分布函数 W玻色子质量弱混合角

A novel multi-state bogie system reliability evaluation approach by extended d-MC model for high-speed trains

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Transportation Safety and Environment 2024年第03期 69-80页

作者： Yong Fu Ruoqu Liu Jisheng Dai Wenlong Zhu Xin Liu Yong Qin Zhuzhou CRRC Times Electric Co. Ltd. Department of Statistics University of Warwick State Key Lab of Rail Traffic Control & Safety Beijing Jiaotong University

Bogie is a pivotal system and plays a critical part in the safety and reliability management of high-speed ***,the available bogie system reliability analysis methods lack the considera tion of multi-sta te characteris tics,and the common multi-state reliability analysis methods,being an NP-hard problem,lead to low *** order to overcome these drawbacks,this paper proposes a novel multi-state rail train bogie system reliability analysis approach based on the extended d-MC *** different function interactions within the bogie system are considered to build the multi-state bogie system flow network ***,an extended d-MC model is established to remove unnecessary d-MC candidates and duplicates,which greatly enhances the computing *** bogie system reliability is calculated,and examples are *** experiments are carried out for the different operational conditions of the bogie system and are used to test the practicability of the method proposed in this article;it is found that this method outperforms a newly developed method in solving multi-state reliability problems.

关键词：

Human brain computing and brain-inspired intelligence

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National Science Review 2024年第05期 8-9页

作者： Jianfeng Feng Viktor Jirsa Wenlian Lu Institute of Science and Technology for Brain-Inspired Intelligence Fudan University Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence(Fudan university) Ministry of Education Shanghai Center for Mathematical Sciences Fudan University Department of Computer Science University of Warwick Zhangjiang Fudan International Innovation Center Institut de Neurosciences des Systèmes Faculté de Medécine

The relationship between structure, neural activity dynamics and intelligent human brain function is complex and multifaceted with deep roots in several academic disciplines. Its understanding is a fundamental goal of brain research [1] and may indicate the way towards the next generation of artificial intelligence [2]. There are major challenges on the way, several of which are addressed in this Special Topic of National Science Review.

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Electrocatalytic Reduction of CO_(2)to CO with Almost 100%Faradaic Efficiency Using Oxygen-Vacancy Enriched Two-Dimensional MgO

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CCS Chemistry 2024年第6期6卷 1477-1486页

作者： Yu Han Sunggi An Xinyu Zhan Leiduan Hao Liang Xu Song Hong Dongmin Park Yuxin Chen Yiwen Xu Jiwen Zhao Xinyi Tan Alex W.Robertson Yousung Jung Zhenyu Sun State Key Laboratory of Organic-Inorganic Composites College of Chemical EngineeringBeijing University of Chemical TechnologyBeijing 100029 Department of Chemical and Biomolecular Engineering(BK21four) Korea Advanced Institute of Science and Technology(KAIST)Daejeon 34141 Beijing Key Laboratory of Environmental Science and Engineering School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081 Department of Physics University of WarwickCoventry

The design and development of cheap,abundant,and efficient electrocatalysts for selective CO_(2)electroreduction is highly desirable yet remains an ongoing ***,we report on our discovery of the use of two-dimensional MgO rich in oxygen vacancies(VO)as an electrocatalyst for the efficient reduction of CO_(2)to yield CO in 1-butyl-3-methylimidazolium hexafluorophosphate dissolved in *** faradaic efficiency toward CO reaches as high as 99.6±0.24%with a current density of up to 40.8 mA cm−*** functional theory calculations illustrate that the introduction of VO in MgO substantially lowers the reaction-free energy for the transformation of ^(*)COO^(−) to ^(*)COOH,the potential determining step,which greatly boosts CO_(2)conversion *** work opens the way to realizing economic and efficient CO_(2)electrolysis of group II metals.

关键词： CO_(2)reduction electrocatalysis CO MgO ionic liquid oxygen-vacancy

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辛双有理几何的若干研究进展

中国科学:数学 2024年

作者：胡建勋李天军阮勇斌章唯一中山大学数学学院 School of Mathematics University of Minnesota 浙江大学数学高等研究院 Mathematics Institute University of Warwick

20世纪80年代,日本数学家Mori提出了极小模型纲领,其核心思想之一是把代数簇二分为单直纹簇和非单直纹簇来研究.对单直纹簇来说,试图理解以Fano簇为纤维的纤维化结构;而对于非单直纹簇,则要寻找它的极小模型.辛双有理几何是研究辛流形... 详细信息

20世纪80年代,日本数学家Mori提出了极小模型纲领,其核心思想之一是把代数簇二分为单直纹簇和非单直纹簇来研究.对单直纹簇来说,试图理解以Fano簇为纤维的纤维化结构;而对于非单直纹簇,则要寻找它的极小模型.辛双有理几何是研究辛流形的双有理等价分类,并尝试将Mori的分类理论拓展到辛几何领域.本文综述该领域的最新进展,内容包括双有理配边等价、辛单直纹和有理连通辛流形、4维辛流形的Kodaira维数及近复流形的双有理几何等.

关键词：双有理配边单直纹辛流形有理连通辛流形 Gromov-Witten不变量 Kodaira维数近复流形

Mitigating the impact of mechanisms causing neuronal degeneration

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Neuroprotection 2024年第1期2卷 1-3页

作者： Xunming Ji Piotr Walczak Johannes Boltze Beijing Institute of Brain Disorders Capital Medical UniversityBejingChina Center for Advanced Imaging Research Department of Diagnostic Radiology and Nuclear MedicineUniversity of MarylandBaltimoreMarylandUSA School of Life Sciences University of WarwickCoventryUK

Primary and secondary neurodegeneration is a pathological hallmark of numerous central nervous system(CNS)*** many mechanisms leading to neurodegeneration are well understood,previous approaches aiming at providing protection from neurodegeneration were often futile.A potential explanation may be that recent research discovered additional pathomechanisms leading to ***,simply targeting single neurodegenerative mechanisms may only have minor therapeutic *** multiple neurodegenerative mechanisms may be a more viable ***,the restoration of lost brain tissue turned out to be a very complex endeavor.1 Despite making some initial progress with the use of biocompatible scaffolds and hydrogels.

关键词： Alzheimer's disease extracellular vesicles intracranial pressure microglia neurodegeneration stem cells stress stroke vascular dementia

Engineering the Smart Factory

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Chinese Journal of Mechanical Engineering 2016年第6期29卷 1046-1051页

作者： HARRISON Robert VERA Daniel AHMAD Bilal warwick Manufacturing Group University of Warwick

The fourth industrial revolution promises to create what has been called the smart factory. The vision is that within such modular structured smart factories, cyber-physical systems monitor physical processes, create a virtual copy of the physical world and make decentralised decisions. This paper provides a view of this initiative from an automation systems perspective. In this context it considers how future automation systems might be effectively configured and supported through their lifecycles and how integration, application modelling, visualisation and reuse of such systems might be best achieved. The paper briefly describes limitations in current engineering methods, and new emerging approaches including the cyber physical systems （CPS） engineering tools being developed by the automation systems group （ASG） at warwick Manufacturing Group, university of warwick, UK.

关键词： index terms--smart factory Industry 4.0 automation systems cyber-physical systems engineering lifecycle

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