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Distributed Optimal Variational GNE Seeking in Merely Monotone Games

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IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1621-1630页

作者： wangli He Yanzhen Wang IEEE the Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

In this paper, the optimal variational generalized Nash equilibrium(v-GNE) seeking problem in merely monotone games with linearly coupled cost functions is investigated, in which the feasible strategy domain of each agent is coupled through an affine constraint. A distributed algorithm based on the hybrid steepest descent method is first proposed to seek the optimal v-GNE. Then, an accelerated algorithm with relaxation is proposed and analyzed, which has the potential to further improve the convergence speed to the optimal v-GNE. Some sufficient conditions in both algorithms are obtained to ensure the global convergence towards the optimal v-GNE. To illustrate the performance of the algorithms, numerical simulation is conducted based on a networked Nash-Cournot game with bounded market capacities.

关键词： Distributed algorithms equilibria selection generalized Nash equilibrium(GNE) merely monotone games

新型固相萃取器用于污染水样中痕量杀虫剂的浓缩及热解吸气相色谱-质谱分析(英文)

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环境化学 2003年第3期22卷 267-270页

作者： wangli-li HOSAKAAkihiko WATANABEChuichi 浙江工业大学化学工程学院应用化学系，杭州310014 尖端实验室，福岛963-8862，日本

A novel type of solid phase extraction element named“Magic Chemisorber” is developed for sorptive enrichment of dilute analytes from aqueous samples with high extraction efficiencies due to its capacious layer of sorbent *** extraction element combined with thermal desorption gas chromatography/mass spectrometry using a pyrolysis GC/MS system was applied to extract the pesticides from water samples over a concentration range of 10 -3 to 10 3 μg·l -1 .The method showed good li nearity for the tested concentration range with regression coefficients of 0 995 for over 5 *** of detection at a sub ng·l -1 (ppt)level were achieved and the reproducibility of the measurements was found to be fairly good,with relative standard deviation below 8%.

关键词：固相萃取器污染水样痕量分析杀虫剂浓缩热解吸气相色谱质谱

Novel method for the recognition of Jinnan cattle action using bottleneck attention enhanced two-stream neural network

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International Journal of Agricultural and Biological Engineering 2024年第3期17卷 203-210页

作者： wangli Hao Meng Han Kai Zhang li Zhang Wangbao Hao Fuzhong li Zhenyu liu School of Software Shanxi Agricultural UniversityJinzhong 030801ShanxiChina Yuncheng National Jinnan Cattle Genetic Resources and Gene Protection Center Yongji 044500ShanxiChina Yongji Puzhou Old City Beimenwai Cattle Farm Yongji 044500ShanxiChina College of Engineering Shanxi Agricultural UniversityJinzhong 030801ShanxiChina

Effective and accurate action recognition is essential to the intelligent breeding of the Jinnan ***,there are still several challenges in the current Jinnan cattle action *** methods are based on manual characteristics and low recognition *** study is aimed at the efficient and accurate development of Jinnan cattle action recognition methods to overcome existing problems and support intelligent *** acquired data from the previous methods contain a lot of noise,which will cause individual cattle to have excessive behaviors due to *** the high labor costs,low efficiency,and low model accuracy of the above approaches,this study developed a bottleneck attention-enhanced two-stream(BATS)Jinnan cattle action recognition *** primarily comprises a Spatial Stream Subnetwork,a Temporal Stream Subnetwork,and a Bottleneck Attention *** can capture the spatial-channel dependencies in RGB and optical flow two branches respectively,so as to extract richer and more robust ***,the decision of the two branches can be fused to gain improved cattle action recognition *** with the traditional methods,the model proposed in this study has achieved state-of-the-art recognition performance,and the accuracy of motion recognition was 96.53%,which was 4.60%higher than other *** method significantly improves the efficiency and accuracy of behavior recognition and provides an important research foundation and direction for the development of higher-level behavior analysis models in the future development of smart animal husbandry.

关键词： Jinnan cattle action recognition bottleneck attention two-stream neural network

Distributed generalized Nash equilibrium seeking:event-triggered coding-decoding-based secure communication

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Science China(Information Sciences) 2024年第7期67卷 271-284页

作者： Shaofu YANG Wenying XU wangli HE Jinde CAO School of Computer Science and Engineering Southeast University School of Mathematics Southeast University Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology

In this paper, we consider the distributed generalized Nash equilibrium(GNE) seeking problem in strongly monotone games. The transmission among players is implemented through a digital communication network with limited bandwidth. For improving communication efficiency or/and security, an event-triggered coding-decoding-based communication is first proposed, where the data(decision variable) are first mapped to a series of finite-level codewords and, only when an event condition is satisfied, then sent to the neighboring agents. Moreover, a distributed communication-efficient GNE seeking algorithm is constructed accordingly,and the overrelaxation scheme is further taken into consideration. Through primal-dual analysis, the proposed algorithm is proven to converge to a variational GNE with fixed step-sizes by recasting it as an inexact forward-backward iteration. Finally, numerical simulations illustrate the benefit of the proposed algorithms in terms of saving communication resources.

关键词： noncooperative games event-triggered communication coding-decoding quantization

A deep reinforcement learning approach to gasoline blending real-time optimization under uncertainty

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Chinese Journal of Chemical Engineering 2024年第7期71卷 183-192页

作者： Zhiwei Zhu Minglei Yang wangli He Renchu He Yunmeng Zhao Feng Qian Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

The gasoline inline blending process has widely used real-time optimization techniques to achieve optimization objectives,such as minimizing the cost of ***,the effectiveness of real-time optimization in gasoline blending relies on accurate blending models and is challenged by stochastic ***,we propose a real-time optimization algorithm based on the soft actor-critic(SAC)deep reinforcement learning strategy to optimize gasoline blending without relying on a single blending model and to be robust against *** approach constructs the environment using nonlinear blending models and feedstocks with *** algorithm incorporates the Lagrange multiplier and path constraints in reward design to manage sparse product *** abstracted states facilitate algorithm convergence,and the normalized action vector in each optimization period allows the agent to generalize to some extent across different target production *** these well-designed components,the algorithm based on the SAC outperforms real-time optimization methods based on either nonlinear or linear *** even demonstrates comparable performance with the time-horizon based real-time optimization method,which requires knowledge of uncertainty models,confirming its capability to handle uncertainty without accurate *** simulation illustrates a promising approach to free real-time optimization of the gasoline blending process from uncertainty models that are difficult to acquire in practice.

关键词： Deep reinforcement learning Gasoline blending Real-time optimization Petroleum Computer simulation Neural networks

Event-triggered impulsive synchronization of heterogeneous neural networks

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Science China(Information Sciences) 2024年第2期67卷 331-332页

作者： Zhengxin WANG Chongfang JIN wangli HE Min XIAO Guo-Ping JIANG Jinde CAO College of Science Nanjing University of Posts and Telecommunications Jiangsu Engineering Lab for IOT Intelligent Robots (IOTRobot) Nanjing University of Posts and Telecommunications Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and Technology School of Automation Nanjing University of Posts and Telecommunications School of Mathematics Southeast University Yonsei Frontier Lab Yonsei University

Synchronization is one of the most important dynamics in neural networks. Several scholars have studied the quasi-synchronization of heterogeneous neural networks [1],wherein external controllers play a significant role. Impulsive control, a kind of energy-saving control, is activated instantaneously only at specific discrete moments.

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Tissue-resident macrophages exacerbate lung injury after remote sterile damage

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Cellular & Molecular Immunology 2024年第4期21卷 332-348页

作者： Hanhui Zhong Jingjing Ji Jinling Zhuang Ziying Xiong Pengyun Xie Xiaolei liu Jundi Zheng wangli Tian Xiaoyang Hong Jing Tang The Department of Anesthesiology Affiliated Hospital of Guangdong Medical UniversityZhanjiangGuangdongChina The Department of Critical Care Medicine General Hospital of Southern Theater Command of PLAGuangzhouChina The Department of Respiratory Medicine Guangdong Provincial Hospital of Integrated Chinese and Western MedicineFoshanChina Pediatric Intensive Care Unit Senior Department of Pediatricsthe Seventh Medical Center of PLA General HospitalBeijingChina

Remote organ injury,which is a common secondary complication of sterile tissue damage,is a major cause of poor prognosis and is difficult to ***,we report the critical role of tissue-resident macrophages in lung injury after trauma or stroke through the inflammatory *** found that depleting tissue-resident macrophages rather than disrupting the recruitment of monocyte-derived macrophages attenuated lung injury after trauma or *** findings revealed that the release of circulating alarmins from sites of distant sterile tissue damage triggered an inflammatory response in lung-resident macrophages by binding to receptor for advanced glycation end products(RAGE)on the membrane,which activated epidermal growth factor receptor(EGFR).Mechanistically,ligand-activated RAGE triggered EGFR activation through an interaction,leading to Rab5-mediated RAGE internalization and EGFR phosphorylation,which subsequently recruited and activated P38;this,in turn,promoted RAGE translation and trafficking to the plasma membrane to increase the cellular response to RAGE ligands,consequently exacerbating *** study also showed that the loss of RAGE or EGFR expression by adoptive transfer of macrophages,blocking the function of RAGE with a neutralizing antibody,or pharmacological inhibition of EGFR activation in macrophages could protect against trauma-or stroke-induced remote lung ***,our study revealed that targeting the RAGE-EGFR signaling pathway in tissue-resident macrophages is a potential therapeutic approach for treating secondary complications of sterile damage.

关键词： tissue-resident macrophage RAGE remote sterile damage

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高职院校人才培养亟待加强审美教育

北京财贸职业学院学报 2017年第2期33卷 64-67页

作者：王莉莉北京财贸职业学院北京101101

2006年,我国高等教育规模已跃居世界第一,其中,高职教育占据了半壁江山。高职人才培养水平的高低,会直接影响我国高等教育的质量和竞争力。高职院校人才培养中"重视技能、虚化人文素养"的倾向,将直接影响人才培养的质量。高职院校的人... 详细信息

2006年,我国高等教育规模已跃居世界第一,其中,高职教育占据了半壁江山。高职人才培养水平的高低,会直接影响我国高等教育的质量和竞争力。高职院校人才培养中"重视技能、虚化人文素养"的倾向,将直接影响人才培养的质量。高职院校的人才培养只有"技能"是远远不够的,还必须加强"人文素养"的培养。而加强人文素养培养的关键着力点和基本途径就是审美教育。

关键词：高职院校人才培养技能道德人文素养

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标识T-网中同步距离的计算

计算机科学 2008年第10期35卷 100-103,169页

作者：王丽丽吴哲辉方欢安徽理工大学理学院淮南232001 山东科技大学信息科学与工程学院青岛266510

同步距离是刻画事件之间同步关系的一个重要的定量分析手段。由于同步距离的求解不仅和网的结构特征有关系,而且和网的初始标识也存在关系,因此到目前为止还没有一个很简洁易行的算法来求解一般Petri网的同步距离。然而,一些特殊的Petr... 详细信息

同步距离是刻画事件之间同步关系的一个重要的定量分析手段。由于同步距离的求解不仅和网的结构特征有关系,而且和网的初始标识也存在关系,因此到目前为止还没有一个很简洁易行的算法来求解一般Petri网的同步距离。然而,一些特殊的Petri网子类,如标识T-图、标识S-图的同步距离的计算已经有了较简洁的求解方法。对另一个Petri网子类——标识T-网给出了其同步距离的计算方法。标识T-网也可以直接通过网的结构和初始标识分布情况来得到变迁之间的同步距离,不需要考察网系统的运行,这就使得同步距离的求解简单易行。文中给出了相应的求解定理。

关键词：同步距离标识T-网源库所控制库所控制库所接入变迁