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顺德职业技术学院学报 2003年第1期1卷 64-67页

作者：张良桥顺德职业技术学院广东顺德528333

分析现实中炫耀性商品、非炫耀性商品与消费者愿意支付价格之间关系的方法很多,建立模型分析就是把个人及社区对层次的重视程度作为参数引入模型之中,不仅具有理论意义,也具有重要的现实意义。

关键词：虚荣效用炫耀性商品分离均衡

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信念、协调博弈与均衡选择

顺德职业技术学院学报 2007年第1期5卷 35-39页

作者：张良桥顺德职业技术学院经济管理系广东佛山528333

非合作博弈理论能够很好解决处于竞争关系参与人之间合作与冲突,但在处理严格纳什均衡之间的选择时,碰到难以逾越的鸿沟。于是,均衡选择问题变成了博弈论理论家们研究的热点,协调博弈成为继囚徒困境博弈又一被广泛研究的博弈类型。已有... 详细信息

非合作博弈理论能够很好解决处于竞争关系参与人之间合作与冲突,但在处理严格纳什均衡之间的选择时,碰到难以逾越的鸿沟。于是,均衡选择问题变成了博弈论理论家们研究的热点,协调博弈成为继囚徒困境博弈又一被广泛研究的博弈类型。已有的均衡研究法没有把系统达到均衡的过程引入到模型当中,无法考虑参与人关于博弈历史而形成有关对手未来行动的信念对均衡选择的影响,难以现实地考察均衡演化。本文基于协调博弈动态过程研究的基础上,通过引入历史、现状及相对偏好参数来探讨协调博弈的均衡选择问题,为理论研究提供一种新思路。

关键词：协调博弈均衡选择信念

EPKS系统在马钢煤焦化公司净化二系统中的应用

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冶金动力 2013年第4期 74-76,80页

作者：张良桥马钢股份有限公司煤焦化公司安徽马鞍山243000

介绍Epks系统在马钢煤焦化公司净化二系统DCS改造升级的应用,并着重通过实例与图解介绍改造过程中电捕联锁、煤气鼓风机联锁,方便工艺操作等具体问题的分析解决过程。

关键词：净化二系统 EPKS 系统升级

维普期刊数据库博看期刊

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进化博弈理论方法与房地产市场诚信问题研究

顺德职业技术学院学报 2005年第2期3卷 51-54,58页

作者：张良桥顺德职业技术学院广东顺德528333

首先介绍进化博弈理论的基本均衡概念与基本动态概念,然后设计一个简单的进化博弈理论模型来研究房地产市场诚信形成的过程及其影响因素,在此基础上提出了以动态管理的思想从系统出发来规范房地产信用市场的发展.

关键词：进化博弈理论进化稳定策略房地产市场诚信

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假冒伪劣商品现象存在的演化分析

顺德职业技术学院学报 2009年第1期7卷 36-39页

作者：张良桥顺德职业技术学院经济管理学院广东佛山528333

假冒商品可以给消费者带来虚荣效用而使得消费者产生购买激励,同时假冒商品由于其成本低价格相对高而使生产者存在生产激励。因此,使现实中假冒商品盛行于市场,另外文章也运用进化博弈模型对现实中假冒商品存在的现象、原因及其影响因... 详细信息

假冒商品可以给消费者带来虚荣效用而使得消费者产生购买激励,同时假冒商品由于其成本低价格相对高而使生产者存在生产激励。因此,使现实中假冒商品盛行于市场,另外文章也运用进化博弈模型对现实中假冒商品存在的现象、原因及其影响因素进行了动态分析。

关键词：假冒商品进化稳定状态虚荣效用

Characteristic changes in astrocyte properties during astrocyte-to-neuron conversion induced by NeuroD1/Ascl1/Dlx2

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Neural Regeneration Research 2025年第6期20卷 1801-1815页

作者： Qing He Zhen Wang Yuchen Wang Mengjie Zhu Zhile liang Kanghong zhang Yuge Xu Gong Chen GHM Institute of CNS Regeneration Jinan UniversityGuangzhouGuangdong ProvinceChina

Direct in vivo conversion of astrocytes into functional new neurons induced by neural transcription factors has been recognized as a potential new therapeutic intervention for neural injury and degenerative disorders. However, a few recent studies have claimed that neural transcription factors cannot convert astrocytes into neurons, attributing the converted neurons to pre-existing neurons mis-expressing transgenes. In this study, we overexpressed three distinct neural transcription factors––NeuroD1, Ascl1, and Dlx2––in reactive astrocytes in mouse cortices subjected to stab injury, resulting in a series of significant changes in astrocyte properties. Initially, the three neural transcription factors were exclusively expressed in the nuclei of astrocytes. Over time, however, these astrocytes gradually adopted neuronal morphology, and the neural transcription factors was gradually observed in the nuclei of neuron-like cells instead of astrocytes. Furthermore,we noted that transcription factor-infected astrocytes showed a progressive decrease in the expression of astrocytic markers AQP4(astrocyte endfeet signal), CX43(gap junction signal), and S100β. Importantly, none of these changes could be attributed to transgene leakage into preexisting neurons. Therefore, our findings suggest that neural transcription factors such as NeuroD1, Ascl1, and Dlx2 can effectively convert reactive astrocytes into neurons in the adult mammalian brain.

关键词： aquaporin-4 Ascl1 astrocyte cortex Dlx2 gap junction glia-to-neuron conversion neural regeneration NeuroD1 reprogramming

基于灰色关联分析的战略性新兴产业评价——以生物医药为例

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经济数学 2010年第3期27卷 79-84页

作者：张良桥贺正楚吴艳中山大学岭南学院广东广州510275 顺德职业技术学院广东顺德528333 长沙理工大学经济与管理学院湖南长沙410114

以灰色理论分析为基础,建立了符合我国生物医药这一战略性新兴产业特点的评价指标体系和评价模型,并以吉林通化医药城、上海张江"药谷"、湖南浏阳生物医药园产业群为研究对象,作了实证分析.

关键词：战略性新兴产业灰色关联度模糊多属性决策评价

Multi-dimensional Bi@C electrocatalyst for Cr3+/Cr2+ redox reaction boosting high-performance iron-chromium flow batteries

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Science China Chemistry 2025年

作者： Min Wu Mingjun Nan Shumin Liu Caihe Zhong Lin qiao Huamin zhang Xiangkun Ma Department of Materials Science and Engineering Dalian Maritime University Division of Energy Storage Dalian National Laboratory for Clean Energy Dalian Institute of Chemical Physics Chinese Academy of Sciences

With the increasing demand for energy storage technology, iron-chromium flow batteries（ICFBs） have been widely concerned because of their price advantage. However, the low electrochemical activity of Cr3+/Cr2+redox couples and the side hydrogen evolution reaction limit the industrial application of ICFBs. A multi-dimensional Bi/carbon composite electrocatalyst（Bi@C）for ICFB is designed and prepared to improve the electrochemical activity of Cr3+/Cr2+redox couples. Benefiting by using the Bimetal organic framework（Bi-MOF） with solid matrix as precursors, Bi nanospheres are highly dispersed on the Bi@C electrocatalyst that effectively enhances the electrochemical activity. The special morphology of Bi@C electrocatalyst helps the transfer of electrons and ions, significantly reducing the polarization of battery. Herein, the 3D porous carbon frames accelerate mass transfer, and the 2D carbon nanobelts and carbon layer coating on 0D Bi nanospheres improve the conductivity of Bi nanospheres. Therefore, the ICFB with multi-dimensional Bi@C electrocatalyst exhibits coulombic efficiency of 98.10% and energy efficiency of 79.14% at 140 mA cm-2, which is higher than ICFBs with commercial graphite carbon electrocatalyst and with heat treatment carbon felt. This work provides a simple and economical method to fabricate a high-performance multidimensional Bi@C electrocatalyst for Cr3+/Cr2+redox couples, boosting the development of ICFBs.

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A coordinated planning strategy of energy storage allocation and line upgrading to increase photovoltaic consumption with lowest planning cost

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Science China Technological Sciences 2025年

作者： Bo zhang Yuqi JI Lu zhang Wei TANG Xiaohui zhang liang WANG Haoran DING Hanchen MAO College of Information and Electrical Engineering China Agricultural University State Grid Heilongjiang Electric Power Research Institute State Grid Heilongjiang Electric Power Company Limited School of Electrical and Information Engineering Zhengzhou University of Light Industry

Random integration of massive distributed photovoltaic (PV) generation poses serious challenges to distribution networks. Voltage violations, line overloads, increased peak–valley differences, and power-flow reversals can occur at different locations, times, and severities. Traditional planning methods such as energy storage (ES) allocation and upgrading of lines may result in poor economics and low equipment utilization. This study proposes a distribution-network planning strategy that coordinates three planning mechanisms:ES allocation to substations and to feeders, and line upgrading. The proposed strategy achieved the lowest annual cost, considering the distribution network problems at different locations, times, and severities. A net load curve description method was first proposed considering economic planning and the uncertain distribution of loads and PVs. Second, a multistage optimization model for ES allocation and line upgrading was established based on the net load curves. Finally, an improved IEEE33 node system was used in the case study. The planning results show that the proposed coordinated planning strategy can address the problems caused by the random integration of massive distributed PVs, improve equipment utilization, and obtain the lowest total annual planning cost.

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Early identification of stroke through deep learning with multi-modal human speech and movement data

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Neural Regeneration Research 2025年第1期20卷 234-241页

作者： Zijun Ou Haitao Wang Bin zhang Haobang liang Bei Hu Longlong Ren Yanjuan Liu Yuhu zhang Chengbo Dai Hejun Wu Weifeng Li Xin Li School of Computer Science and Engineering Sun Yat-sen UniversityGuangzhouGuangdong ProvinceChina Department of Neurology Guangdong Neuroscience InstituteGuangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong ProvinceChina Department of Emergency Medicine Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong ProvinceChina

Early identification and treatment of stroke can greatly improve patient outcomes and quality of *** clinical tests such as the Cincinnati Pre-hospital Stroke Scale(CPSS)and the Face Arm Speech Test(FAST)are commonly used for stroke screening,accurate administration is dependent on specialized *** this study,we proposed a novel multimodal deep learning approach,based on the FAST,for assessing suspected stroke patients exhibiting symptoms such as limb weakness,facial paresis,and speech disorders in acute *** collected a dataset comprising videos and audio recordings of emergency room patients performing designated limb movements,facial expressions,and speech tests based on the *** compared the constructed deep learning model,which was designed to process multi-modal datasets,with six prior models that achieved good action classification performance,including the I3D,SlowFast,X3D,TPN,TimeSformer,and *** found that the findings of our deep learning model had a higher clinical value compared with the other ***,the multi-modal model outperformed its single-module variants,highlighting the benefit of utilizing multiple types of patient data,such as action videos and speech *** results indicate that a multi-modal deep learning model combined with the FAST could greatly improve the accuracy and sensitivity of early stroke identification of stroke,thus providing a practical and powerful tool for assessing stroke patients in an emergency clinical setting.

关键词： artificial intelligence deep learning diagnosis early detection FAST screening stroke