生态位视角下都市区村落养老价值评价体系研究

从生态位相关理论应用出发,基于生态位宽度、重叠度和密度解析村落养老价值的影响源和影响机制。在建立都市区村落养老行业系统的基础上,结合需求度调查,归纳了行业生态链中的生态元功能组成。并以影响源推导评价子系统,以生态元功能衍生出评价模块,从村落养老的时间位、空间位、功能位上的优势目标出发,构建了一个与生态位关联,由评价维度、价值子系统、模块、指标变量4个层级组成的都市区村落养老价值评价体系。此体系的研究立足于生态位对村落养老价值的影响机制和养老产业良性发展的适应性,为村落养老价值评价体系的构建提供了新视角,为村落发展养老产业的可行性判定提供了综合性方法。     

关于群落的相似系数

本文讨论了植物生态学中由Jaccard(1912)和Sφrensen(1948)等人相继提出的关于群落的相似系数之间的关系,并分析了它们的合理性,例如,我们指出,由Motyka定义的系数和Renkonen(1938)的生态位的相似系数是一致的,而Spatz(1970)根据Motyka的原理推导的相似系数是不合理的。最后,我们指出,作者和杨义群(1982)提出的关于生态位的相似系数同样可以用来度量植物群落的相似性,这是一种很恰当的度量。     

生态位视角下都市区村落养老价值评价体系研究

从生态位相关理论应用出发,基于生态位宽度、重叠度和密度解析村落养老价值的影响源和影响机制。在建立都市区村落养老行业系统的基础上,结合需求度调查,归纳了行业生态链中的生态元功能组成。并以影响源推导评价子系统,以生态元功能衍生出评价模块,从村落养老的时间位、空间位、功能位上的优势目标出发,构建了一个与生态位关联,由评价维度、价值子系统、模块、指标变量4个层级组成的都市区村落养老价值评价体系。此体系的研究立足于生态位对村落养老价值的影响机制和养老产业良性发展的适应性,为村落养老价值评价体系的构建提供了新视角,为村落发展养老产业的可行性判定提供了综合性方法。     

Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm

Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm is proposed, and a fitness function is provided. Simulations are conducted using the adaptive niche immune genetic algorithm, the simulated annealing algorithm, the quantum genetic algorithm and the simple genetic algorithm, respectively. The results show that the adaptive niche immune genetic algorithm performs better than the other three algorithms in terms of the multi-user cognitive radio network resource allocation, and has quick convergence speed and strong global searching capability, which effectively reduces the system power consumption and bit error rate.     

Thermal roots of correlation‐based complexity

Bayesian maxent lets one integrate thermal physics and information theory points of view in the quantitative study of complex systems. Since net surprisal (a free energy analog for measuring “departures from expected”) allows one to place second law constraints on mutual information (a multimoment measure of correlations), it makes a quantitative case for the role of reversible thermalization in the natural history of invention, and suggests multiscale strategies to monitor standing crop as well. It prompts one to track evolved complexity starting from live astrophysically observed processes, rather than only from evidence of past events. Various gradients and boundaries that play a role in availability flow, ranging from the edge of a wave‐packet to the boundary between idea‐pools, allow one to frame wide‐ranging correlations (including that between a phenomenon and its explanation) as delocalized physical structures. © 2007 Wiley Periodicals, Inc. Complexity, 2008     

A Niche Width Model of Optimal Specialization

Niche width theory, a part of organizational ecology, predicts whether specialist or generalist forms of organizations have higher fitness, in a continually changing environment. To this end, niche width theory uses a mathematical model borrowed from biology. In this paper, we first loosen the specialist-generalist dichotomy, so that we can predict the optimal degree of specialization. Second, we generalize the model to a larger class of environmental conditions, on the basis of the model's underlying assumptions. Third, we criticize the way the biological model is treated in sociological theory. Two of the model's dimensions seem to be confused, i.e., that of trait and environment; the predicted optimal specialization is a property of individual organizations, not of populations; and, the distinction between fine and coarse grained environments is superfluous.     

The Logic of Organizational Markets: Thinking Through Resource Partitioning Theory

Resource partitioning theory claims that Increasing concentration enhances the life chances of specialist organizations. We systematically think through this theory, specify implicit background assumptions, sharpen concepts, and rigorously check the theory's logic. As a result, we increase the theory's explanatory power, and claim—contrary to received opinion'that under certain general conditions, resource partitioning and the proliferation of specialists can take place independently of organizational mass and relative size effects, size localized competition, diversifying consumer tastes, increasing number of dimensions of the resource space, and changing niche widths. Our analysis makes furthermore clear that specialist and generalist strategies are asymmetric, and shows that not concentration enhances the life chances of specialists but economies of scale instead. Under the conditions explicated, we argue that if scale economies come to dominate, the number of organizations in the population increases, regardless of the incumbents' sizes.     

具有生态位构建作用的种群进化动力学模型及其应用研究

依据进化动力学的理论与方法,系统探讨了生态位构建的机理与模式．通过建立生态位构建的空间模式及其适合度计算公式和具有生态位构建作用的单种群与两种群的进化动力学模型,并对其种群进化动态、种间竞争共存机制进行的理论与数值模拟分析,揭示了生物与环境资源的协同进化关系．结果表明:种群动态受其主要生态因子及资源含量的正反馈作用．生态位构建作用通过对种群适宜度的影响而产生进化响应．单种群动力系统存在种群大小的阈值效应;在两竞争种群动力系统中,生态位构建可以导致进化动力系统的多个竞争结果,从而为解释种间竞争与稳定共存提供了一种新的理论机制．     

Automated critical point identification for PIV data using multimodal particle swarm optimization

A hybrid sequential niche algorithm is used for the automated identification of critical points of velocity fields. This method combines an adaptive sequential niche technique with deterministic local optimization to detect critical points: focus, node and saddle points. A particle swarm algorithm performs a global search whereas vortex core identification functions compute the precise location as the extremum of the corresponding function. Once a critical point is found, a rectangular niche is constructed around the point. The particle swarm then proceeds to explore different regions of the velocity field. The process advances sequentially, avoiding areas near previously found critical points by blocking niches obtained from previous steps. The niche size is automatically adjusted each time a search enters inside an existing niche. Vortex core functions are used for critical point identification and calculating its precise location inside each niche. The procedure is validated on particle image velocimetry data obtained with two types of flows, an impinging jet flow and a flow downstream of a model building. The hybrid algorithm proved to be very efficient and robust for automated detection and identification of critical points. It can be used as a first step for studying the time‐dependent dynamic behavior of instantaneous velocity fields by tracking topological critical points. This is the first study that uses a multi‐modal particle swarm algorithm for critical point identification. Copyright © 2011 John Wiley & Sons, Ltd.