Intermittent control strategy for synchronization of fractional-order neural networks via piecewise Lyapunov function method

In this paper, the synchronization problem of fractional-order neural networks (FNNs) with chaotic dynamics is investigated via the intermittent control strategy. Two types of intermittent control methods, the aperiodic one and the periodic one, are applied to achieve the synchronization of the considered systems. Based on the dynamic characteristics of the intermittent control systems, the piecewise Lyapunov function method is employed to derive the synchronization criteria with less conservatism. The results under the aperiodically intermittent control show more generality than the ones via the periodically intermittent control. For each of the aperiodic and periodic cases, a simple controller design process is presented to show how to design the corresponding intermittent controller. Finally, two numerical examples are provided to demonstrate the effectiveness of the obtained theoretical results.     

Fault-tolerant control for a class of linear interconnected hyperbolic systems by boundary feedback

This paper considers a fault-tolerant control problem for a class of interconnected linear hyperbolic partial differential equation systems. Both subsystem faults and coupling faults are considered. Firstly, the well-posedness of the faulty system is analyzed by using semigroup theory. Secondly, for the fault-free case, a stabilizing boundary feedback control based on small-gain theorem is proposed. Consequently, in the presence of faults, fault recoverability conditions are established that maintain the stability of the faulty systems. The fault-tolerant control strategies are also provided. A heat exchanger example is taken to illustrate the effectiveness and practicality of the proposed methods.     

Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis

Topic evolution has been described by many approaches from a macro level to a detail level, by extracting topic dynamics from text in literature and other media types. However, why the evolution happens is less studied. In this paper, we focus on whether and how the keyword semantics can invoke or affect the topic evolution. We assume that the semantic relatedness among the keywords can affect topic popularity during literature surveying and citing process, thus invoking evolution. However, the assumption is needed to be confirmed in an approach that fully considers the semantic interactions among topics. Traditional topic evolution analyses in scientometric domains cannot provide such support because of using limited semantic meanings. To address this problem, we apply the Google Word2Vec, a deep learning language model, to enhance the keywords with more complete semantic information. We further develop the semantic space as an urban geographic space. We analyze the topic evolution geographically using the measures of spatial autocorrelation, as if keywords are the changing lands in an evolving city. The keyword citations (keyword citation counts one when the paper containing this keyword obtains a citation) are used as an indicator of keyword popularity. Using the bibliographical datasets of the geographical natural hazard field, experimental results demonstrate that in some local areas, the popularity of keywords is affecting that of the surrounding keywords. However, there are no significant impacts on the evolution of all keywords. The spatial autocorrelation analysis identifies the interaction patterns (including High-High leading, High-Low suppressing) among the keywords in local areas. This approach can be regarded as an analyzing framework borrowed from geospatial modeling. Moreover, the prediction results in local areas are demonstrated to be more accurate if considering the spatial autocorrelations.     

游戏化:情报学视阈下研究生信息素养教育新范式

[目的/意义] 研究生教育作为国民教育序列的顶端,肩负着"高端人才供给"和"科学技术创新"的双重使命,对实现国家战略、支撑现代化强国建设具有重大意义。大数据时代对我国研究生信息素质提出更高的要求,也对高校传统信息素养教育发起挑战。[方法/过程] 文章综合运用情报学、传播学与高等教育学跨学科研究方法,以情报学视角论述研究生信息素养教育引入游戏化机制的必要性,随后对美国高校游戏化信息素养教育现状展开探讨,通过对比研究获取信息有效传播路径及优势教育经验。[结果/结论] 最后基于情报学视角提出我国研究生信息素养教育游戏化策略,形成以"游戏设计服务需求、协同宣传与媒介推广、强化游戏馆员内生动力、优化游戏化学习体验"四位一体创新体系。     

基于DEMATEL方法的农业智库发展的影响因素分析

[目的/意义] 20世纪以来,虽然中国农业智库的数量快速增长,但是发展质量和水平不高,而且具有国际影响力的高端农业智库不多。[方法/过程] 基于系统分析,建立用于农业智库发展影响因素的DEMATEL方法,并计算各个影响因素的原因度和中心度。[结果/结论] 基于DEMATEL方法计算出来的因素原因度和中心度,认为智库功能目标定位、智库人才建设是最重要的原因要素;而智库成果转化、智库文化、智库资金来源和智库对外合作与交流等是影响农业智库发展的重要结果因素。     

互动视角下商业模拟对创新能力的影响研究

     实施创新驱动离不开创新人才培养,个体创新能力的提升关乎组织的生存和社会的可持续发展。在此背景下,被广泛应用于管理教育、员工甄选和企业内训的商业模拟能否有效提升个体的创新能力仍不得而知。鉴于此,本文依托建构主义学习理论和创新互动观,通过对多期追踪调研数据进行双重差分模型构建和层级回归分析,探讨了商业模拟与创新能力之间的关系,以及背后的作用机理。实证研究发现：商业模拟能够提升参与者的创新能力;商业模拟正向影响个体创新能力的关键驱动因素是商业模拟互动,商业模拟互动不仅直接影响个体创新能力,且通过参与者的心理模拟和绩效压力正向间接影响个体创新能力;此外,当参与者能力与商业模拟挑战在高水平上实现匹配时,商业模拟互动通过绩效压力对创新能力的积极影响被强化,反之则被削弱。研究结论拓展了商业模拟与创新之间关系的理论,从互动视角提出了个体创新能力提升的商业模拟路径。     

火:工具与心灵

本文探讨火作为工具的递归性质,以及它所代表的技术理念.火之所以是唯有人能掌握的自然工具,在于其使用对心理表征的要求,而其中所隐藏的递归函数则同时积极构建人的智能,使得人与动物区分开来.与棍子、石头等不同,火不能被直接使用,而需要同时使用别的工具(如棍子)来使用之,从而形成工具的递归.从这个方面看,火所要求和构造的心智能力是区分人与动物的一个重要特征,即递归智能.从历史角度看,火的掌握也因此是掌握语言的前奏,因为语言的使用同样蕴含着递归智能.     

新时代地方本科院校学生学风调查分析——以楚雄师范学院为例

弘扬高校优良传统,完善学风建设长效机制,落实立德树人的根本任务,不断提高人才培养质量,推动建设优良学风校风是新时代高校的重要使命。本文以楚雄师范学院为例,对学生从学习动机、学习方式与态度、学习的努力程度三个方面开展广泛深入的调查,并从学生、教师和学校等方面提出进一步加强学风建设的措施。     

浅谈“互联网+”背景下开放教育中的英语混合式教学模式的探究

“互联网+”的背景下,开放教育的各教学环节正逐渐向信息化发展,教学环境也出现了剧烈的变化。在这样的背景下,大学本科的教学过程逐渐过渡到了传统教育模式和现代信息化共存的局面,要想进一步开展有效的英语教学,就需要采用自主学习和学生之间协作学习相结合的混合教学模式,以确保学习的有效性。在“互联网+”的背景下,综合应用多种教学模式,进行混合式的教学过程,例如利用微课、慕课和翻转课堂等方式进行教学,可以有效地实现混合式的英语教学过程,在提高学生自主学习能力的同时,强化学生之间的协作学习内容,进而能够获得更好的英语课堂教学效果,有着重要的现实意义。     

引导基金联合参股的杠杆效应研究

摘要：本文通过清科旗下私募通数据库搜集数据并利用PSM(倾向得分匹配)方法进行样本的匹配构造，实证检验了引导基金联合参股投资杠杆效应的差异化影响，得出如下结论：一是引导金联合参股低声誉创投机构形成的杠杆效应显著高于联合参股高声誉创投机构，该结论支持认证效应假说。二是引导基金联合参股国有背景创投机构形成的杠杆效应显著高于联合参股非国有背景创投机构，该结论不支持政治关联假说。三是引导基金联合参股创投发展落后区域创投机构形成的杠杆效应显著高于联合参股成熟区域创投机构，该结论支持良性循环假说。