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基于灰色组合模型的区域物流需求预测研究

物流技术 2012年第11期31卷 323-325,329页

作者：俞少君南京林业大学经济管理学院江苏南京210037

系统分析区域物流需求与相关影响因素关系,建立GM(1,1)、GM(0,N)单项预测模型,基于方差最小化准则构建组合模型,该组合模型克服了单项预测精度及适用条件等局限,改进了现有区域物流需求预测组合模型单因素多种方法简单组合的不足。最后... 详细信息

系统分析区域物流需求与相关影响因素关系,建立GM(1,1)、GM(0,N)单项预测模型,基于方差最小化准则构建组合模型,该组合模型克服了单项预测精度及适用条件等局限,改进了现有区域物流需求预测组合模型单因素多种方法简单组合的不足。最后采用2001-2009年安徽省物流需求数据进行实证分析,验证了组合预测模型的有效性。

关键词：区域物流需求灰色模型组合预测

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中小企业融资刍议

特区经济 2005年第5期 153-154页

作者：俞少君南京林业大学经济管理学院副教授210000

随着我国市场化程度的提高和国内外经济贸易环境的变化,多种所有制经济获得了快速发展,资金是每个企业发展所必需的要素,而中小企业的融资一直以来都是比较困难的,这个问题已经引起人们越来越多的关注.

关键词：中小企业企业融资中国资本市场银行贷款中国

Structural engineering of high-entropy alloys for advanced electrocatalytic reactions

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Tungsten 2025年第1期7卷 1-31页

作者： Qiao Xie Ying-Jie yu Hai-jun Zhang Ya-Ping Deng Wen Lei The State Key Laboratory of Refractories and Metallurgy Wuhan University of Science and Technology Department of Chemical Engineering Waterloo Institute for Sustainable Energy Waterloo Institute for Nanotechnology University of Waterloo

High-entropy alloys(HEAs) have emerged as promising candidates to replace traditional precious metal catalysts,owing to their unique chemical and physical *** review commences by revisiting the fundamental concepts of HEAs,including their synthesis methods and structural control strategies in *** underscores the critical role of meticulously manipulating both macroscopic and microscopic structures of the HEAs to optimize their catalytic performance.A deep understanding of the structure-activity relationship in HEAs across various configurations is pivotal in developing more effective *** review methodically encapsulates the research progress of structural control strategies for HEAs in achieving efficient energy conversion,with the aim of gaining a better understanding of the relationship between structure and *** review concludes by summarizing the current achievements and challenges,and suggestions for potential future directions of HEAs in the fields of energy conversion and environmental purification.

关键词： Electrocatalytic Energy conversion High-entropy alloys Structural modulation

Personalized federated few-shot node classification

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Science China(Information Sciences) 2025年第1期68卷 204-218页

作者： yunfeng ZHAO Xintong HE Guoxian yu jun WANG Yongqing ZHENG Carlotta DOMENICONI School of Software Shandong University Joint SDU-NTU Centre for Artificial Intelligence Research Shandong University Department of Mathematics National University of Singapore Department of Computer Science George Mason University

Personalized federated learning(PFL) aims to train customized models for individual clients in a decentralized setting, with the account of non-independent and identically distributed data across clients. However, most PFL methods adopt uniform classification layers for diverse clients and give rise to error-prone predictions, due to the task heterogeneity notably prominent in decentralized graph data scenarios. Although some PFL solutions setup client-specific classification layers for each client and optimize them only locally, they are corrupted with limited local training data. We propose an innovative solution called federated parameter decoupling and node augmentation(Fed PANo) to address these problems and to achieve personalized federated few-shot node classification, which is a prevalent and challenging but unexplored topic. Specifically, Fed PANo first separates the local model into the GNN and classifier to handle unique client-specific task variations. The GNN is trained through federated learning to capture shared knowledge of graph nodes across clients, while the classifier is custom-designed and trained individually for each client. Additionally, a generic classifier shared among clients is adopted to encourage the GNN's grasp of shared information. Then Fed PANo further proposes the node generator along with its local and collaborative training strategies to deal with the node scarcity of clients. Extensive experimental results on benchmark datasets confirm that Fed PANo outperforms eight competitive baselines across different settings.

关键词： personalized federated learning few-shot learning node classification task heterogeneity parameter decoupling node augmentation

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金融机构互联网金融发展研究

山西经济管理干部学院学报 2014年第3期22卷 61-66页

作者：邵玉君中国信达资产管理股份有限公司北京100031

互联网金融是金融、技术领域最为热门的话题。本文通过对互联网金融发展历程的介绍,分析互联网金融发展的内生五大因素。接着,本文对互联网金融的主要产品进行了归纳和总结,在此基础上提出金融机构如何有效应对互联网金融的冲击,并乘机... 详细信息

互联网金融是金融、技术领域最为热门的话题。本文通过对互联网金融发展历程的介绍,分析互联网金融发展的内生五大因素。接着,本文对互联网金融的主要产品进行了归纳和总结,在此基础上提出金融机构如何有效应对互联网金融的冲击,并乘机在这一轮互联网金融热中占领高地,突破传统业务的束缚,拓展盈利空间,实现线上线下的交互式可持续发展。

关键词：互联网金融创新

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铁路行业如何建立市场化机制

上海市经济管理干部学院学报 2014年第1期12卷 23-28页

作者：邵玉君中国信达资产管理股份有限公司业务部北京100031

在国务院机构改革和转变政府职能的背景下,铁路行业现存的问题包括由于体制所造成的垄断低效率,企业成本费用大,缺乏竞争的活力、压力和动力,缺乏长期的盈利支撑点。根据上述铁路行业存在的问题,为破除当前铁路行业的垄断低效率经营,巨... 详细信息

在国务院机构改革和转变政府职能的背景下,铁路行业现存的问题包括由于体制所造成的垄断低效率,企业成本费用大,缺乏竞争的活力、压力和动力,缺乏长期的盈利支撑点。根据上述铁路行业存在的问题,为破除当前铁路行业的垄断低效率经营,巨额的固定资产投资所需资金来源单一、财务成本高、经营风险大等问题,设计一整套市场化机制和政策措施,以提高铁路运行效率,提高铁路行业的科技创新和管理创新,降低企业运行成本,实现铁路行业长期可持续发展。

关键词：铁路改革市场机制发展

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金融机构互联网金融发展研究

上海金融学院学报 2014年第6期 45-52页

作者：邵玉君中国信达资产管理股份有限公司北京100031

本文通过对互联网金融的发展历程的介绍,分析互联网金融发展的五大内生因素,对互联网金融的主要产品进行了归纳和总结,在此基础上提出金融机构如何有效应对互联网金融的冲击,并在这一轮互联网金融热中占领高地,突破传统业务的束缚,拓展... 详细信息

本文通过对互联网金融的发展历程的介绍,分析互联网金融发展的五大内生因素,对互联网金融的主要产品进行了归纳和总结,在此基础上提出金融机构如何有效应对互联网金融的冲击,并在这一轮互联网金融热中占领高地,突破传统业务的束缚,拓展盈利空间,实现线上线下的交互式可持续发展。

关键词：互联网金融创新

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近期城投债情况统计研究

上海市经济管理干部学院学报 2014年第3期12卷 27-45页

作者：邵玉君中国信达资产管理股份有限公司业务审核部北京100031

城投债在中国兴起且迅猛发展有其宏观体制性原因以及城投债本身所具有的微观优势。对我国发行的城投债按照债券信用等级、发行规模、发行期限等不同维度进行统计分析,以在此基础上对我国的经济财政体制改革提出了一些意见和建议。

关键词：城投债统计研究财政体制

Mechanistic insight into the synergy between nickel single atoms and nanoparticles on N-doped carbon for electroreduction of CO2

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Journal of Energy Chemistry 2025年第1期100卷 327-336页

作者： Mingdong Sun Wenwen Guan Cailing Chen Chao Wu Xiaoling Liu Biao Meng Tao Chen yu Han jun Wang Shibo Xi yu Zhou State Key Laboratory of Materials-Oriented Chemical Engineering College of Chemical Engineering Nanjing Tech University Advanced Membranes and Porous Materials Center Physical Sciences and Engineering Division King Abdullah University of Science and Technology Institute of Sustainability for Chemicals Energy and Environment A*STAR (Agency for Science Technology and Research) College of Materials Science and Engineering Sichuan University

The synergy of single atoms （SAs） and nanoparticles （NPs） has demonstrated great potential in promoting the electrocatalytic carbon dioxide reduction reaction （CO2RR）;however,the rationalization of the SAs/NPs proportion remains one challenge for the catalyst ***,a Ni2+-loaded porous poly（ionic liquids）(PIL) precursor synthesized through the free radical self-polymerization of the ionic liquid monomer,1-allyl-3-vinylimidazolium chloride,was pyrolyzed to prepare the Ni,N co-doped carbon materials,in which the proportion of Ni SAs and NPs could be facilely modulated by controlling the annealing *** catalyst Ni-NC-1000 with a moderate proportion of Ni SAs and NPs exhibited high efficiency in the electrocatalytic conversion of CO2into *** Ni K-edge X-ray absorption near-edge structure （XANES） spectra and theoretical calculations were conducted to gain insight into the synergy of Ni SAs and *** charge transfer from Ni NPs to the surrounding carbon layer and then to the Ni SAs resulted in the electron-enriched Ni SAs active *** the electroreduction of CO2,the coexistence of Ni SAs and NPs strengthened the CO2activation and the affinity towards the key intermediate of*COOH,lowering the free energy for the potential-determining*CO2→*COOH step,and therefore promoted the catalysis efficiency.

关键词： Activation energy