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A model-service deployment strategy for collaboratively sharing geo-analysis models in an open web environment

International Journal of Digital Earth 2017年第4期10卷 405-425页

作者： Yongning Wen Min Chen Songshan Yue peibei zheng Guoqiang Peng Guonian Lu State Key Laboratory Cultivation Base of Geographical Environment Evolution(Jiangsu Province) Nanjing Normal UniversityNanjingPeople’s Republic of China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application NanjingPeople’s Republic of China Key Laboratory of Virtual Geographic Environment Nanjing Normal UniversityMinistry of EducationNanjingPeople’s Republic of China Institute of Space and Earth Information Science The Chinese University of Hong KongHong KongPeople’s Republic of China

Geo-analysis models can be shared and reused via model-services to support more effective responses to risks and help to build a sustainable *** deployment of model-services typically requires significant effort,primarily because of the complexity and disciplinary specifics of geo-analysis *** modelling participants engage in the collaborative modelling process:geo-analysis model resources are provided by model providers,computational resources are provided by computational resource providers,and the published model-services are accessed by model *** paper primarily focuses on model-service deployment,with the basic goal of providing a collaboration-oriented method for modelling participants to conveniently work together and make full use of modelling and computational resources across an open web *** model resource providers,a model-deployment description method is studied to help build model-deployment packages;for computational resource providers,a computational resource description method is studied to help build model-service containers and *** experimental system for sharing and reusing geo-analysis models is built to verify the capability and feasibility of the proposed *** this strategy,modellers from dispersed regions can work together more easily,thus providing dynamic and reliable geospatial information for Future Earth studies.

关键词： Model service deployment model sharing modelling environment

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线对象的惯性函数描述与三角剖分方法

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测绘学报 2016年第3期45卷 372-378页

作者：吴明光郑培蓓闾国年南京师范大学虚拟地理环境教育部重点实验室江苏南京210023 江苏省地理信息资源开发与利用协同创新中心江苏南京210023

现有线对象三角剖分算法没有顾及线对象的整体结构特征,导致三角剖分质量不高,难以支持大数据量的矢量制图和高更新率的动态制图。本文提出线对象的惯性函数,设计了一种线对象的单调分解与三角剖分方法。惯性函数的单调递增区间作为线... 详细信息

现有线对象三角剖分算法没有顾及线对象的整体结构特征,导致三角剖分质量不高,难以支持大数据量的矢量制图和高更新率的动态制图。本文提出线对象的惯性函数,设计了一种线对象的单调分解与三角剖分方法。惯性函数的单调递增区间作为线对象的渐变区间,连续剖分为一个优化的三角形条带;惯性函数的单调递减区间作为线对象的突变区间,离散剖分为一个优化的三角形扇。试验表明:本文方法三角剖分的顶点、三角形、图元的个数均优于基于顶点和基于线段的三角剖分方法,能够显著提升线对象的绘制效率。本文方法也适用于封闭线型、宽度渐变线型与光滑线型。

关键词：线对象符号化单调分解三角剖分线光滑

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基于Hilbert曲线的STR索引改进算法

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武汉大学学报（信息科学版） 2014年第7期39卷 777-781页

作者：戴晶吴明光郑培蓓王蕾崔登吉陈泰生南京师范大学虚拟地理环境教育部重点实验室江苏南京210023 滁州学院地理信息与旅游学院安徽滁州239000

递归网格排序算法(sort-tile-recursive,STR)是一种性能优良的静态变体,其构建效率高效,查询性能较为优良,但是没有很好的兼顾到数据本身的聚集特性。Hilbert曲线具有较好的数据聚集特性,但是存在一定信息的丢失。本文利用Hilbert曲线... 详细信息

递归网格排序算法(sort-tile-recursive,STR)是一种性能优良的静态变体,其构建效率高效,查询性能较为优良,但是没有很好的兼顾到数据本身的聚集特性。Hilbert曲线具有较好的数据聚集特性,但是存在一定信息的丢失。本文利用Hilbert曲线的聚集性来提高STR-树的数据聚集性能,提出了一种基于Hilbert编码的STR索引改进算法,并在改进中弥补信息丢失的问题。算法首先按照MBR的Hilbert值进行排序,根据节点容量生成子节点,形成各聚类中心,针对Hilbert异常值采用距离约束条件进行处理;迭代以上过程,生成Hilbert STR-树。研究结果表明,该算法的查询效率优于STR-树和R树。

关键词：空间索引 Hilbert曲线 STR-树聚类 R-树

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线对象V-O分解与符号化算法

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武汉大学学报（信息科学版） 2016年第3期41卷 421-426页

作者：吴明光郑培蓓邓国臣崔登吉崔丽丽南京师范大学虚拟地理环境教育部重点实验室江苏南京210023 中国测绘科学研究院北京100830

本文针对线符号中基本线型绘制质量与效率问题,对比分析了5种典型线对象分解与绘制方法。在V分解的基础上,提出一种V-O分解与绘制方法,提高了V分解方法三角化的适应性,减少了V分解方法的顶点、三角形以及三角形条带的个数。能够支持颜... 详细信息

本文针对线符号中基本线型绘制质量与效率问题,对比分析了5种典型线对象分解与绘制方法。在V分解的基础上,提出一种V-O分解与绘制方法,提高了V分解方法三角化的适应性,减少了V分解方法的顶点、三角形以及三角形条带的个数。能够支持颜色线、纹理线、渐变线等基本线型的绘制,支持反走样。实验表明,本文方法具有较强的适应性和较高的绘制效率。

关键词：线对象符号化线型三角化

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面向地理分析模拟的城市小区场景数据组织方法

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测绘学报 2018年第8期47卷 1080-1088页

作者：陶虹乐松山校大卫孙菱志芦宇辰汪灵珊郑培蓓闾国年南京师范大学虚拟地理环境教育部重点实验室江苏南京210023 江苏省地理环境演化国家重点实验室培育建设点江苏南京210023 江苏省地理信息资源开发与利用协同创新中心江苏南京210023 苏州工业园区测绘地理信息有限公司江苏苏州215027

城市小区是城市人居环境的重要构成部分,与城市居民生活关系密切。面向城市小区环境综合分析模拟的需求,本文结合虚拟地理环境中虚拟场景和集成建模等概念,设计了可支撑分析模拟的城市小区场景数据组织方法。通过小区系统、小区系统要... 详细信息

城市小区是城市人居环境的重要构成部分,与城市居民生活关系密切。面向城市小区环境综合分析模拟的需求,本文结合虚拟地理环境中虚拟场景和集成建模等概念,设计了可支撑分析模拟的城市小区场景数据组织方法。通过小区系统、小区系统要素和小区系统要素关系来对复杂小区环境信息进行对象化的描述,并按照层次化结构实现城市小区建模场景的组织。利用统一数据表达与交换模型UDX对小区系统-要素-关系中的数据内容进行统一的表达和存储,在此基础上设计了城市小区建模场景对象;利用可扩展接口的方式,实现从城市小区建模场景中抽取符合分析模型需求的数据内容,由此支撑将不同地理分析模型与城市小区建模场景集成。试验结果表明,本文所设计的方法能够有效组织多源异构的城市小区环境数据,并可以便捷地为不同研究方向的城市小区分析模型提供所需建模数据。

关键词：城市小区分析模拟小区建模场景虚拟地理环境

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Multi boron-doping effects in hard carbon toward enhanced sodium ion storage

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Journal of Energy Chemistry 2025年第1期100卷 730-738页

作者： Peng zheng Wang Zhou Ying Mo Biao zheng Miaomiao Han Qin Zhong Wenwen Yang Peng Gao Lezhi Yang Jilei Liu College of Materials Science and Engineering Hunan Joint International Laboratory of Advanced Materials and Technology for Clean Energy Hunan Province Key Laboratory for Advanced Carbon Materials and Applied Technology Hunan University Greater Bay Area Institute for Innovation Hunan University Changsha Research Institute of Mining & Metallurgy Co. LTD.

Hard carbon （HC） has been considered as promising anode material for sodium-ion batteries （SIBs）.The optimization of hard carbon’s microstructure and solid electrolyte interface （SEI） property are demonstrated effective in enhancing the Na+storage capability,however,a one-step regulation strategy to achieve simultaneous multi-scale structures optimization is highly ***,we have systematically investigated the effects of boron doping on hard carbon’s microstructure and interface chemistry.A variety of structure characterizations show that appropriate amount of boron doping can increase the size of closed pores via rearrangement of carbon layers with improved graphitization degree,which provides more Na+storage ***-situ Fourier transform infrared spectroscopy/electrochemical impedance spectroscopy （FTIR/EIS） and X-ray photoelectron spectroscopy （XPS） analysis demonstrate the presence of more BC3and less B–C–O structures that result in enhanced ion diffusion kinetics and the formation of inorganic rich and robust SEI,which leads to facilitated charge transfer and excellent rate *** a result,the hard carbon anode with optimized boron doping content exhibits enhanced rate and cycling *** general,this work unravels the critical role of boron doping in optimizing the pore structure,interface chemistry and diffusion kinetics of hard carbon,which enables rational design of sodium-ion battery anode with enhanced Na+storage performance.

关键词： X ray photoelectron spectroscopy

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Optimizing the key parameter to accelerate the recovery of AMOC under a rapid increase of greenhouse gas forcing

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Atmospheric and Oceanic Science Letters 2025年第1期18卷 39-45页

作者： Haolan Ren Fei zheng Tingwei Cao Qiang Wang International Center for Climate and Environment Science(ICCES) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences BeijingChina College of Oceanography Hohai UniversityNanjingChina CAS Key Laboratory of Ocean Circulation and Waves Institute of OceanologyChinese Academy of Sciences and Pilot National Laboratory for Marine Science and Technology(Qingdao)QingdaoChina

Atlantic Meridional Overturning Circulation(AMOC)plays a central role in long-term climate variations through its heat and freshwater transports,which can collapse under a rapid increase of greenhouse gas forcing in climate *** studies have suggested that the deviation of model parameters is one of the major factors in inducing inaccurate AMOC *** this work,with a low-resolution earth system model,the authors try to explore whether a reasonable adjustment of the key model parameter can help to re-establish the AMOC after its *** a new optimization strategy,the extra freshwater flux(FWF)parameter is determined to be the dominant one affecting the AMOC’s *** traditional ensemble optimal interpolation(EnOI)data assimilation and new machine learning methods are adopted to optimize the FWF parameter in an abrupt 4×CO_(2) forcing experiment to improve the adaptability of model parameters and accelerate the recovery of *** results show that,under an abrupt 4×CO_(2) forcing in millennial simulations,the AMOC will first collapse and then re-establish by the default FWF parameter ***,during the parameter adjustment process,the saltier and colder sea water over the North Atlantic region are the dominant factors in usefully improving the adaptability of the FWF parameter and accelerating the recovery of AMOC,according to their physical relationship with FWF on the interdecadal timescale.

关键词： Recovery of AMOC 4×CO_(2)forcing Key parameter Parameter estimation Data assimilation Machine learning

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Luminescence: a new perspective for investigating perovskite precursors

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Science China Materials 2025年第01期 312-313页

作者： Haofeng zheng Shaocong Hou School of Electrical Engineering and Automation Wuhan University Wuhan University Shenzhen Research Institute

In the past two decades, perovskite materials have made significant progress in optoelectronic semiconductors, emerging as formidable candidates for the next generation of commercial solar cells, light-emitting diodes (LEDs), and *** the fundamental solution chemistry and photophysics in solution-processed perovskite devices is crucial for comprehending to achieve highly efficient optoelectronic devices.

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The role of axon guidance molecules in the pathogenesis of epilepsy

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Neural Regeneration Research 2025年第5期20卷 1244-1257页

作者： zheng Liu Chunhua Pan Hao Huang Department of Neurology Affiliated Hospital of Zunyi Medical UniversityZunyiGuizhou ProvinceChina

Current treatments for epilepsy can only manage the symptoms of the condition but cannot alter the initial onset or halt the progression of the disease. Consequently, it is crucial to identify drugs that can target novel cellular and molecular mechanisms and mechanisms of action. Increasing evidence suggests that axon guidance molecules play a role in the structural and functional modifications of neural networks and that the dysregulation of these molecules is associated with epilepsy susceptibility. In this review, we discuss the essential role of axon guidance molecules in neuronal activity in patients with epilepsy as well as the impact of these molecules on synaptic plasticity and brain tissue remodeling. Furthermore, we examine the relationship between axon guidance molecules and neuroinflammation, as well as the structural changes in specific brain regions that contribute to the development of epilepsy. Ample evidence indicates that axon guidance molecules, including semaphorins and ephrins, play a fundamental role in guiding axon growth and the establishment of synaptic connections. Deviations in their expression or function can disrupt neuronal connections, ultimately leading to epileptic seizures. The remodeling of neural networks is a significant characteristic of epilepsy, with axon guidance molecules playing a role in the dynamic reorganization of neural circuits. This, in turn, affects synapse formation and elimination. Dysregulation of these molecules can upset the delicate balance between excitation and inhibition within a neural network, thereby increasing the risk of overexcitation and the development of epilepsy. Inflammatory signals can regulate the expression and function of axon guidance molecules, thus influencing axonal growth, axon orientation, and synaptic plasticity. The dysregulation of neuroinflammation can intensify neuronal dysfunction and contribute to the occurrence of epilepsy. This review delves into the mechanisms associated with

关键词： axon guidance drug-resistant epilepsy epilepsy nerve regeneration nervous system diseases neural pathways neuroinflammatory diseases neuronal plasticity neurons synaptic remodeling

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Joint Probabilistic Scheduling and Resource Allocation for Wireless Networked Control Systems

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IEEE/CAA Journal of Automatica Sinica 2025年第1期 258-260页

作者： Meng zheng Lei Zhang Wei Liang IEEE the State Key Laboratory of Robotics and the Key Laboratory of Networked Control Systems Shenyang Institute of Automation Chinese Academy of Sciences the University of Chinese Academy of Sciences

Dear Editor,This letter presents a joint probabilistic scheduling and resource allocation method(PSRA) for 5G-based wireless networked control systems(WNCSs). As a control-aware optimization method, PSRA minimizes the linear quadratic Gaussian(LQG) control cost of WNCSs by optimizing the activation probability of subsystems, the number of uplink repetitions, and the durations of uplink and downlink phases. Simulation results show that PSRA achieves smaller LQG control costs than existing works.

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