我国高校科研人员Altmetrics评价需求差异研究

[目的/意义] 随着Altmetrics研究日益深入，有效识别Altmetrics评价的利益相关方需求对评价指标设计及数据基础设施建设具有重要意义。[方法/过程] 以高校科研人员为对象，利用半结构访谈法识别我国高校科研人员的Altmetrics评价需求，采用问卷调查法获取数据并检验识别出高校科研人员Altmetrics评价需求的差异性。[结果/结论] 研究发现，我国高校科研人员主要有7类Altmetrics评价需求，分别是：研究评价，成果展示，需求发现，学术认可，交流传播，成果操作，学科发展；不同年龄组别高校科研人员在"研究评价"方面有差异，"51-60岁"年龄组较其他年龄组在"研究评价"方面的需求明显偏低；除"交流传播"外，人文学科的6个Altmetrics评价功能需求强度均低于社会学科和自然学科，自然科学与社会科学间的评价需求完全一致；除"研究评价"功能需求在教师与学生存在差异外，6个Altmetrics评价需求对所有不同身份类别高校科学人员没有差异；7类Altmetrics评价需求对高校科研人员具有较高的普遍适用性。     

健康中国视域下高校田径运动发展研究

田径运动是所有运动的基础运动,是促进身体健康的重要手段,对实现健康中国战略有重要的意义。本研究以普通高校大学体育田径运动的教学及发展路径为切入点,对几所高校进行调查分析,找出田径运动发展过程中存在的问题,并提出相关建议,使田径运动在高校更好地发展,促进健康中国战略目标的贯彻实施。     

2019年篮联世界杯广州赛区小组赛对中国队的启示

2019年国际篮联篮球世界杯在中国圆满举行,广州作为分赛场,承接了西班牙、波多黎各、突尼斯以及伊朗四支代表队的小组比赛6场。通过对广州赛区四支队伍在小组赛中的表现技术进行分析,并对比中国队在本次赛事中的表现,发现中国男篮在备赛与参赛阶段,存在大赛目标不清晰,心理训练与细节训练不足,教练团队执教水平不稳定,篮球基本功不扎实等一系列问题,反映出我国篮球的发展正处于困境。系统地分析广州小组赛中四支队伍的赛况,并与中国队做出对比,有针对性地提出建议,为中国篮球的发展提供参考。     

清末民初镖局推动武术发展之历史审视

审视中国古代镖局中镖师武术的技术特征、传承传播、发展演变，能够再现早期武术发展状况，丰富武术历史研究内容，还可总结历史经验，为新时代推广武术、弘扬武术文化提供借鉴。运用文献资料法和历史分析法，就镖局对清末民初武术发展之推动作用进行分析。认为，镖局是实现武术功能职业化转型的重要组织，推动了武术的顺时代创新演变，开辟了多元的武术传播途径，稳固了师徒传承方式，推动了武术价值的多元化发展，促进了暗器、轻功等罕见武技的深造与传承，为“以武报国”提供了重要的物力支撑。     

Optimal synchronization controller design for complex dynamical networks with unknown system dynamics

In this paper, the optimal synchronization controller design problem for complex dynamical networks with unknown system internal dynamics is studied. A necessary and sufficient condition on the existence of the optimal control minimizing a quadratic performance index is given. The optimal control law consists of a feedback control and a compensated feedforward control, and the feedback control gain can be obtained by solving the well-known Algebraic Riccati Equation (ARE). Especially, in the presence of unknown system dynamics, a novel adaptive iterative algorithm using the information of system states and inputs is proposed to solve the ARE to get the optimal feedback control gain. Finally, a simulation example shows the effectiveness of the theoretical results.     

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.     

Linear output-feedback-based semi-global stabilization for switched nonlinear time-delay systems

This paper focuses on the problem of semi-global output-feedback stabilization for a class of switched nonlinear time-delay systems in strict-feedback form. A switched state observer is first constructed, then switched linear output-feedback controllers for individual subsystems are designed. By skillfully constructing multiple Lyapunov–Krasovskii functionals and successfully solving several troublesome obstacles, such as time-varying delay and switching signals and nonlinearity in the design procedure, the switched linear output-feedback controllers designed can render the resulting closed-loop switched system semi-globally stabilizable under a class of switching signals with average dwell time. Furthermore, under some milder conditions on nonlinearities, the semi-global output-feedback stabilization problem for switched nonlinear time-delay systems is also studied. Simulation studies on two examples, which include a continuous stirred tank reactor, are carried out to demonstrate the effectiveness of the proposed approach.     

Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control

This article presents a multi-lagged-input based data-driven adaptive iterative learning control (M-DDAILC) method for nonlinear multiple-input-multiple-output (MIMO) systems by virtue of multi-lagged-input iterative dynamic linearization (IDL). The original nonlinear and non-affine MIMO system is equivalently transformed into a linear input-output incremental counterpart without loss of dynamics. The proposed learning law utilizes the desired trajectory to cancel the influence from iteration-by-iteration variations, as well as additional multi-lagged inputs to improve control performance. The developed iterative estimation law is more effective and also makes estimation of the unknown parameters easier because the dynamics for each parameter to represent are decreased by dividing the system into multiple components in the multi-lagged-input IDL formulation. Moreover, the proposed M-DDAILC does not need an explicit and accurate model. It is proved to be iteratively convergent with rigorous analysis. Both a numerical example and a practical application to a permanent magnet linear motor are provided to verify the validity and applicability of the proposed method.     

Dynamics of a stochastic multigroup SIQR epidemic model with standard incidence rates

In this paper, we consider a stochastic multigroup SIQR epidemic model with standard incidence rates. By using the stochastic Lyapunov function method, we establish sufficient conditions for the existence of a stationary distribution of the positive solutions to the model. Then we establish sufficient conditions for extinction of the diseases. A stationary distribution means that all the individuals can be coexistent and persistent in the long term. Finally, some examples and numerical simulations are introduced to illustrate our theoretical results.     

中美基础教育课外体育活动的比较研究

运用文献资料法、访谈法、比较分析法和逻辑法，对中美基础教育课外体育活动的价值取向、政策文件、组织管理、场地设施、运动时间及实施效果进行梳理、分析和比较，从中得出以下启示：要坚持课外体育活动健身育人的价值；学校体育政策要向课外体育活动倾斜，并注重政策的落实；构建课外体育活动的三级体系，促进家校社三方联动；加快社区体育建设，引导体育消费升级；布置体育作业，保证课外运动时间；立足实际问题，让学生从课外体育活动中受益。以邻为镜比较优劣得失，但不能生搬硬套，要从传统体育文化中吸收养分，促进青少年身心健康，促进我国课外体育活动改革与发展。