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试论地方戏曲音乐创作机制初步生成(1949-1962)——以福建地方戏曲为考察对象

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戏曲研究 2024年第1期 235-250页

作者：曾宪林福建师范大学音乐学院

何谓地方戏曲音乐创作机制?从当前研究文献来看,尚未有明确的界定。关于地方戏曲音乐创作机制的研究,周来达先生成果最为突出。(1)他论述并总结越剧音乐创作机制特征,并按不同历史时期分为传统演员负责制,演员、作曲和琴师“三结合”制... 详细信息

何谓地方戏曲音乐创作机制?从当前研究文献来看,尚未有明确的界定。关于地方戏曲音乐创作机制的研究,周来达先生成果最为突出。(1)他论述并总结越剧音乐创作机制特征,并按不同历史时期分为传统演员负责制,演员、作曲和琴师“三结合”制和作曲家包揽制三个阶段。(1)周先生总结的是1906年至2008年越剧音乐创作机制的分期特征。但他也未界定越剧音乐创作机制,而是将戏曲音乐创作机制视为一种常识。

关键词：越剧音乐戏曲音乐创作创作机制分期特征机制特征研究文献考察对象三结合

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融媒体时代重大主题宣传报道创新路径研究

新闻研究导刊 2024年第16期15卷 133-137页

作者：曾宪琳山东广播电视台山东济南250062

重大主题宣传报道是新闻媒体围绕政府重大决策、战略部署以及社会热点等展开的宣传报道,是主流媒体权威性和影响力的重要体现,不仅与人们的生产生活息息相关,还会对经济社会发展产生重要影响。如何创新重大主题宣传报道的方式,成为当前... 详细信息

重大主题宣传报道是新闻媒体围绕政府重大决策、战略部署以及社会热点等展开的宣传报道,是主流媒体权威性和影响力的重要体现,不仅与人们的生产生活息息相关,还会对经济社会发展产生重要影响。如何创新重大主题宣传报道的方式,成为当前业界需要认真思考的重要议题。文章采用文本分析法、调查法、经验总结法等研究方法,分析融媒体时代的趋势和特点,以及创新重大主题宣传报道的重要价值,指出其具有重要的社会意义,有助于提升主流媒体的影响力和公信力,有助于引导公众深入思考和参与,有助于推动社会重大问题的解决,促进经济社会发展。在此基础上,文章探讨融媒体时代重大主题宣传报道面临的机遇和挑战,认为主流媒体亟须发挥融媒体优势,促进重大主题宣传报道创新。为更好地应对融媒体带来的挑战,文章提出以下创新路径:紧扣重大主题主线,创新策划思路;整合新闻资源,提升策划能力;注重多元产出,创新内容、形式和技术;小话题展现大主题,互动运营创新;打造多维传播链,借力融合传播矩阵;加强队伍建设,培养全媒体人才。

关键词：融媒体时代重大主题宣传报道主流媒体信息传播创新路径

Distributed Algorithm for Robust Resource Allocation with Polyhedral Uncertain Allocation Parameters

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Journal of Systems Science & Complexity 2018年第1期31卷 103-119页

作者： zeng xianlin YI Peng HONG Yiguang School of Automation Beijing Institute of Technology Beijing 100081 China Department of Electrical and Systems Engineering Washington University in St. Louis St. Louis MO 63130 USA Key Laboratory of Systems and Control Institute of Systems Science Chinese Academy of Sciences Beijing 100190 China

This paper studies a distributed robust resource allocation problem with nonsmooth objective functions under polyhedral uncertain allocation parameters. In the considered distributed robust resource allocation problem, the（nonsmooth） objective function is a sum of local convex objective functions assigned to agents in a multi-agent network. Each agent has a private feasible set and decides a local variable, and all the local variables are coupled with a global affine inequality constraint,which is subject to polyhedral uncertain parameters. With the duality theory of convex optimization,the authors derive a robust counterpart of the robust resource allocation problem. Based on the robust counterpart, the authors propose a novel distributed continuous-time algorithm, in which each agent only knows its local objective function, local uncertainty parameter, local constraint set, and its neighbors＇ information. Using the stability theory of differential inclusions, the authors show that the algorithm is able to find the optimal solution under some mild conditions. Finally, the authors give an example to illustrate the efficacy of the proposed algorithm.

关键词： Distributed optimization resource allocation robust optimization polyhedral uncertain parameters nonsmooth optimization

重组人Ⅱ型肿瘤坏死因子受体—抗体融合蛋白治疗类风湿关节炎的临床效果

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临床合理用药杂志 2024年第16期17卷 25-28页

作者：曾宪林李曼谢永欣龙岩市第二医院血液风湿科福建省龙岩市364000

目的观察重组人Ⅱ型肿瘤坏死因子受体—抗体融合蛋白治疗类风湿关节炎的临床效果及对血清相关指标的影响。方法选取2020年3月—2022年7月龙岩市第二医院血液风湿科收治的类风湿关节炎患者98例,依据随机抽签法分为联合抗风湿组和常规... 详细信息

目的观察重组人Ⅱ型肿瘤坏死因子受体—抗体融合蛋白治疗类风湿关节炎的临床效果及对血清相关指标的影响。方法选取2020年3月—2022年7月龙岩市第二医院血液风湿科收治的类风湿关节炎患者98例,依据随机抽签法分为联合抗风湿组和常规抗风湿组,每组49例。常规抗风湿组采取常规抗风湿治疗,联合抗风湿组在常规抗风湿组基础上使用注射用重组人Ⅱ型肿瘤坏死因子受体—抗体融合蛋白治疗,2组均持续治疗6个月。比较2组患者临床疗效,治疗前后症状改善情况、血清类风湿炎性指标[C反应蛋白(CRP)、红细胞沉降率(ESR)、类风湿因子(RF)、白介素-6(IL-6)],不良反应。结果联合抗风湿组治疗总有效率为95.92%,高于常规抗风湿组81.63%(χ^(2)=5.018,P=0.025)。治疗6个月后,2组晨僵时间较治疗前缩短,压痛指数评分、疼痛指数评分较治疗前降低,且联合抗风湿组短/低于常规抗风湿组(P均<0.01);2组CRP、RF、IL-6水平较治疗前下降,ESR较治疗前缩小,且联合抗风湿组低/小于常规抗风湿组(P均<0.01)。联合抗风湿组不良反应总发生率为4.08%,低于常规抗风湿组的18.37%(χ^(2)=5.018,P=0.025)。结论常规抗风湿治疗基础上采用重组人Ⅱ型肿瘤坏死因子受体—抗体融合蛋白治疗类风湿关节炎的疗效显著,利于临床症状、血清指标的改善,降低炎性因子水平及减少不良反应发生,促进病症好转。

关键词：类风湿关节炎重组人Ⅱ型肿瘤坏死因子受体—抗体融合蛋白类风湿因子炎性因子不良反应

Lyapunov stability and generalized invariance principle for nonconvex differential inclusions

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Control Theory and Technology 2016年第2期14卷 140-150页

作者： Shu UANG xianlin zeng Yiguang HONG Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China

This paper studies the system stability problems of a class of nonconvex differential inclusions. At first, a basic stability result is obtained by virtue of locally Lipschitz continuous Lyapunov functions. Moreover, a generalized invariance principle and related attraction conditions are proposed and proved to overcome the technical difficulties due to the absence of convexity. In the technical analysis, a novel set-valued derivative is proposed to deal with nonsmooth systems and nonsmooth Lyapunov functions. Additionally, the obtained results are consistent with the existing ones in the case of convex differential inclusions with regular Lyapunov functions. Finally, illustrative examples are given to show the effectiveness of the methods.

关键词： Lyapunov stability nonconvex differential inclusions generalized invariance principle attraction

A Fully Distributed Hybrid Control Framework For Non-Differentiable Multi-Agent Optimization

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IEEE/CAA Journal of Automatica Sinica 2022年第10期9卷 1792-1800页

作者： Xia Jiang xianlin zeng Jian Sun Jie Chen Yue Wei the Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of TechnologyBeijing 100081 the Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China IEEE the School of Electronic and Information Engineering Tongji UniversityShanghai 200082 the Peng Cheng Laboratory Shenzhen 518055China

This paper develops a fully distributed hybrid control framework for distributed constrained optimization *** individual cost functions are non-differentiable and *** on hybrid dynamical systems,we present a distributed state-dependent hybrid design to improve the transient performance of distributed primal-dual first-order optimization *** proposed framework consists of a distributed constrained continuous-time mapping in the form of a differential inclusion and a distributed discrete-time mapping triggered by the satisfaction of local jump *** the semistability theory of hybrid dynamical systems,the paper proves that the hybrid control algorithm converges to one optimal solution instead of oscillating among different *** simulations illustrate better transient performance of the proposed hybrid algorithm compared with the results of the existing continuous-time algorithms.

关键词： Distributed algorithm hybrid framework multiagent network non-differentiable optimization

Distributed Momentum-Based Frank-Wolfe Algorithm for Stochastic Optimization

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IEEE/CAA Journal of Automatica Sinica 2023年第3期10卷 685-699页

作者： Jie Hou xianlin zeng Gang Wang Jian Sun Jie Chen National Key Laboratory of Autonomous Intelligent Unmanned Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China National Key Laboratory of Autonomous Intelligent Unmanned Systems School of AutomationBeijing Institute of TechnologyBeijing 100081 Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China School of Electronic and Information Engineering Tongji UniversityShanghai 200082and also with the National Key Laboratory of Autonomous Intelligent Unmanned Systemsthe School of AutomationBeijing Institute of TechnologyBeijing 100081China IEEE

This paper considers distributed stochastic optimization,in which a number of agents cooperate to optimize a global objective function through local computations and information exchanges with neighbors over a *** optimization problems are usually tackled by variants of projected stochastic gradient ***,projecting a point onto a feasible set is often *** Frank-Wolfe(FW)method has well-documented merits in handling convex constraints,but existing stochastic FW algorithms are basically developed for centralized *** this context,the present work puts forth a distributed stochastic Frank-Wolfe solver,by judiciously combining Nesterov's momentum and gradient tracking techniques for stochastic convex and nonconvex optimization over *** is shown that the convergence rate of the proposed algorithm is O(k^(-1/2))for convex optimization,and O(1/log_(2)(k))for nonconvex *** efficacy of the algorithm is demonstrated by numerical simulations against a number of competing alternatives.

关键词： Distributed optimization Frank-Wolfe(FW)algorithms momentum-based method stochastic optimization

Distributed solver for linear matrix inequalities: an optimization perspective

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Control Theory and Technology 2021年第4期19卷 507-515页

作者： Weijian Li Wen Deng xianlin zeng Yiguang Hong Department of Automation University of Science and Technology of ChinaHefei 230027AnhuiChina Key Lab of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China Department of Control Science and Engineering Tongji UniversityShanghai 201804China

In this paper,we develop a distributed solver for a group of strict(non-strict)linear matrix inequalities over a multi-agent network,where each agent only knows one inequality,and all agents co-operate to reach a consensus solution in the intersection of all the feasible *** formulation is transformed into a distributed optimization problem by introducing slack variables and consensus ***,by the primal–dual methods,a distributed algorithm is proposed with the help of projection operators and derivative ***,the convergence of the algorithm is analyzed,followed by illustrative simulations.

关键词： Distributed computation Distributed optimization Linear matrix inequalities Primal-dual method

A zeroth-order algorithm for distributed optimization with stochastic stripe observations

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Science China(Information Sciences) 2023年第9期66卷 297-298页

作者： Yinghui WANG xianlin zeng Wenxiao ZHAO Yiguang HONG School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Department of Control Science and Engineering Tongji University

Recent years have seen a rising interest in distributed optimization problems because of their widespread applications in power grids, multi-robot control, and regression *** the last few decades, many distributed algorithms have been developed for tackling distributed optimization problems. In these algorithms, agents over the network only have access to their own local functions and exchange information with their neighbors.

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