Randomness and changes of heart rate and respiratory frequency during high altitude mountain ascent without acclimatization

The aim of this study was to detect and compare the changes in the time-frequency and fractal scaling behaviors of heart rate (HR) and respiratory frequency (Rf), recorded simultaneously during a high altitude mountain ascent. The time-frequency analysis was performed using the local cosine4 orthonormal bases of Coifman, Malvar and Meyer, whose spectrum is not redundant as those computed with the short Fourier transform. The fractal scaling behavior was obtained using the detrended fluctuation (DFA) and the wavelet leaders (WL) analysis. Results showed that the high altitude mountain ascent differently affected HR and Rf variability. Rf average values increased (p=0.0003) while HR average values did not change. The scaling variability of HR was altered during the mountain ascent, which was detected by the increasing HR short range DFA exponents with altitude (p<0.03). Rf scaling variability remained unchanged. These differences between HR and Rf alterations were also observed for the local cosine4 power law behavior since power law exponents, in absolute values, increased for HR (p<0.003) while those of Rf did not change. Furthermore, the ratio of low over the whole local spectrum energy of Rf decreased with altitude (p=0.04) in contrast to HR. In most of these HR and Rf analyses, one of the two time series was significantly modified but not both. Moreover, the Rf local cosine4 spectrum had higher entropy compared to HR (p<0.01), the difference between the Rf and the HR entropy increased (p=0.04) during the mountain ascent. In consequence, Rf had more randomness than HR and altitude increased this difference.     

Scale-Free Interpersonal Influences on Opinions in Complex Systems

An important side effect of the evolution of the human brain is an increased capacity to form opinions in a very large domain of issues, which become points of aggressive interpersonal disputes. Remarkably, such disputes are often no less vigorous on small differences of opinion than large differences. Opinion differences that may be measured on the real number line may not directly correspond to the subjective importance of an issue and extent of resistance to opinion change. This is a hard problem for the field of opinion dynamics, a field that has become increasingly prominent as it has attracted more contributions to it from investigators in the natural and engineering sciences. The paper contributes a scale-free approach to assessing the extents to which individuals, with unknown heterogeneous resistances to influence, have been influenced by the opinions of others.     

生态功能保护区建设的效益评估——以汾河源头生态功能保护区建设为例

以汾河源头生态功能保护区建设为例，从生态价值论的观点出发，采用直接经济价值、间接经济价值、选择价值及存在价值的方法，对生态功能保护区建设的社会、经济及环境效益进行了评估，结果显示，生态功能保护区的建设具有极大的社会、经济及环境效益。     

论党的历代领导人的"三农"思想

“三农“问题是中国社会主义建设的一个基本问题,关系到中国现代化建设的成功与否.我党历代领导人都十分关注这一问题,在不同的时代背景下作了重要的论述,并形成了各自关于“三农“的思想,他们之间既有区别又有联系,既有继承又有创新.在当前的背景下,梳理中国共产党的历代领导人的“三农“思想,对建设社会主义新农村具有重要的指导意义.     

网络新闻传播与舆论生成——从《史上最牛钉子户》看网络新闻的传播与效果

本文以《史上最牛钉子户》为例,分析网络新闻传播的开放性,通过发挥其空前的传播优势,有助于舆论的迅速生成,从而有利于公民维权。     

三代领导人对资本主义的认识论之研究

如何正确认识资本主义的历史进程及其规律,吸收和借鉴资本主义优点,服务于社会主义,具有现实意义。三代领导人对资本主义的认识与时俱进,并且后继者总是不断丰富、发展和超越前代,体现了党对马克思主义理论不断创新的精神。     

试析民社党革新派居港首要之政治分歧

革新民社党成立后,为寻求发展,其党派首要纷纷赴港活动,但随着时局的发展和多方面情况的变化,这些居港首要产生了意见分歧,最终由于在路线主张上的矛盾不可调和,导致分裂.     

复杂网络上集群行为与自旋模型

复杂系统中的集群行为(collective behavior)是复杂系统涌现性的重要表现之一, 它通过微观个体之间的相互作用, 在宏观上表现出一定的时空或功能有序结构．已有研究表明, 个体之间相互作用的网络结构对复杂系统的集群行为有重要影响．基于复杂网络上的自旋模型, 介绍了复杂网络上的集群行为的部分研究进展． 首先简要介绍了自旋模型的相变现象以及网络结构对相变行为的影响; 其次, 介绍了以自旋模型为基础应用到社会经济等领域中的工作, 包括舆论形成、羊群效应以及分隔现象(segregation)等, 尤其关注网络结构对集群行为的影响, 最后介绍了基于自旋模型的网络社团划分方法．对进一步的发展方向进行了初步的讨论．     

简论依靠群众反腐败

我国反腐败斗争已进入关键阶段 ,要想更有效地打击腐败 ,就必须紧紧依靠群众。因为群众观点 ,是防止腐败产生的根本 ;民心稳定 ,是反腐败斗争的基本前提 ;群众参与 ,是以法治腐的有力保证 ;群众监督 ,是反腐败胜利的重要法宝。     

微博传播波的函数解析实证研究

为定量地揭示微博传播行为内在的时间演化规律,将微博转发量随时间的变化定义为微博传播波.根据微博传播网络的结构,将微博传播波分解为由若干"大V"所引发的微博传播子波.通过实证,发现了微博传播子波所遵从的统一的指数衰减函数形式.最终实现了将微博传播行为重构为一系列指数衰减函数的叠加,并对该函数中各参数的意义及影响因素进行了初步的探讨.