现代"体育"概念几个问题的探讨

现代"体育"概念的长期混乱有其国际上的根源、翻译上的根源和认识上的根源.对体育总概念内涵的认同和正确表述有赖于对体育各基本形态的共同特殊性进行哲学层面的分析和概括.体育总概念的某些相似概念使用频繁,亦需尽快规范.     

扩号借号法的3处新例证

论文对《中图法》第4版中新发现的3处扩号借号法例证，从类级分析、并非特殊八分法类号辨析、并非加“0”类号辨析和并非下借法类号辨析等方面进行了论证。     

A dynamic decision model for portfolio investment and assets management

This paper addresses a dynamic portfolio investment problem. It discusses how we can dynamically choose candidate assets, achieve the possible maximum revenue and reduce the risk to the minimum level. The paper generalizes Markowitz's portfolio selection theory and Sharpe's rule for investment decision. An analytical solution is presented to show how an institutional or individual investor can combine Markowitz's portfolio selection theory, generalized Sharpe's rule and Value-at-Risk(VaR) to find candidate assets and optimal level of position sizes for investment (dis-investment). The result shows that the generalized Markowitz's portfolio selection theory and generalized Sharpe's rule improve decision making for investment.     

一类广义Liénard型方程的极限环

本文讨论广义Lienard系统(E):x+(f(x)+k(x)x)+g(x)=0,获得了系统(E)的极限环存在,至多有一个或两个的充分条件.这些条件不仅简单和易于验证,而且推广了〔5,6〕的结果.     

一对称矩阵方程组解的研究

给出了四元数体上一对称矩阵方程组有斜埃尔米特解的充分必要条件,并得到了此方程组的斜埃尔米特解的一般表达式。应用主要结果讨论了四元数矩阵A和B矩阵有共同的斜埃尔米特广义逆的充要条件及斜埃尔米特广义逆的表示。     

广义回归神经网络在全国高技能人才需求中的应用研究

广义回归神经网络(GRNN)克服了BP神经网络运行中收敛速度慢且局部极小的不足,正逐渐被应用到货运量、农业需求及煤炭需求方面。引入GRNN对全国高技能人才需求进行预测检验,并从5个角度将其与GM(1,1)模型的输出结果做对比分析。结果表明GRNN模型具有优异的预测性能,验证了把该模型引入高技能人才需求这一新领域是有效可行的。为今后进一步定量研究有关高技能人才需求方面提供一种新方法。     

广义量词的计算复杂性

广义量词的复杂性有两个层次：句法层面的复杂性和语义层面的复杂性,我们集中研究了广义量词的语义复杂性。在有穷的语境中可以找出自然语言量化语句真值的复杂性。这些复杂性与图灵机中的可计算性、作为算法的意义的等价性、计算复杂性、易处理性和不易处理性等内容相关。广义量词计算复杂性已有诸多相关研究成果。     

一类神经网络的指数稳定性分析

避免构造Lyapunov函数的困难,运用广义Dahlquist数方法研究了一类神经网络模型平衡点的存在唯一性和指数稳定性,在没有假设激活函数具有可微性、有界性的条件下,得出新的判据。     

How does collaboration affect researchers’ positions in co-authorship networks?

Collaboration usually has a positive effect on researchers’ productivity: researchers have become increasingly collaborative, according to recent studies. Numerous studies have focused on enhancing research collaboration by recommendation technology and measuring the influence of researchers. However, few studies have investigated the effect of collaboration on the position of a researcher in the research social network. In this paper, we explore the relationships between collaboration and influence by social analytical methods, which are pertinent to analyzing the network structure and individual traits. We evaluate three aspects of the researchers’ influence: friendship paradox validation, social circle, and structure of a researcher's ego network. Furthermore, the ”six degrees of Bacon number” theory, generalized friendship paradox, and triadic closure theory are introduced to support our analysis. Experimental results show that collaboration can help researchers increase their influence to some extent.     

仅发送者知道通道信息的可控概率隐形传态

采用推广测量法,在仅发送者Alice知道部分纠缠GHZ态通道信息的条件下,提出了实现可控概率隐形传态的方案。