引入“鬼”场的二维次近邻三角形格点渗流模型的重整化群方法研究

应用位置空间重整化群方法，对引入“鬼”场的二维次近邻三角形格点渗流模型进行研究，得到临界值Pc和类-温度标度幂与类-场标度幕，再利用普适标度律得到全部临界指数α、β、γ、δ、η及v．     

Research and planning inputs to metropolitan development system

The paper emphasizes the need of developing countries like India for organizing information, research and perspective planning requirements of the Metropolitan Development System (MDS) in an integrated manner. This MDS is viewed as consisting of special agencies that are concerned with development in the various sectors, linked into a system by an appropriate organization of the information, research and planning inputs. The paper lists specific items of input required for well-informed decision making. The role of a data bank as the key element in the integrated system is stressed. It is advocated that the information, research and perspective planning inputs should be provided by the Metropolitan Development Authorities (MDA) which are being formed to coordinate metropolitan development.     

HORVITZ-THOMPSON AND DES RAJ ESTIMATORS REVISITED

In this paper it is shown that the generalized πPS sampling strategy consisting of the design with π_i, the probability of inclusion of the ith unit in the sample, proportional to the modified size together with the corresponding Horvitz-Thompson estimator (Rao, 1971), is superior to the symmetrized Des Raj strategy under a general super-population set-up for all values of the super-population parameter g, when the samples are of size two.     

国有企业民营化与公益诉讼

自二十世纪七十年代以来,"民营化"浪潮席卷全球,无论是发达的市场经济国家,还是转型国家,都把"民营化"作为国有企业改革的基本目标。而中国"民营化"的理论与立法远远滞后于社会生活的现实需要,缺乏健全法律制度有效规制的国企改革中,国有资产的管理和利益相关者的保护成为改革之路上最大的难题。国有资产公益诉讼是公益诉讼在国有资产保护领域的具体应用和扩展,构建我国国有资产公益诉讼制度对国有企业"民营化"具有重大而紧迫的现实意义。     

A general censoring scheme for circular data

A generalized censoring scheme in the survival analysis context was introduced by the authors in Jammalamadaka and Mangalam [S. Rao Jammalamadaka, V. Mangalam, Nonparametric estimation for middle censored data, J. Nonparametr. Stat. 15 (2003) 253–265]. In this article we discuss how such a censoring scheme applies to circular data and in particular when the original data is assumed to come from a parametric model such as the von Mises. Maximum likelihood estimation of the parameters as well as their large-sample properties are considered under this censoring scheme. We also consider nonparametric estimation of the circular probability distribution under such a general censoring scheme and use Monte Carlo methods to investigate its effects on the estimation of the mean direction and concentration.     

Youth–Family,Youth–School Relationship,and Depression

This study sought to examine the association between adolescents’ relationship with family and school and depressive symptoms across ethnic/racial groups (White, Black, Hispanic, and Asian), and to test potentially unique explanatory power in youth–family relationship versus youth–school relationship, in a sample of 4,783 adolescents. Depressive symptoms were assessed with a 19-item, modified Center for Epidemiologic Studies-Depression Scale (CES-D). The results indicated that youth–family relationship and youth–school relationship were significant predictors of adolescent depression. However, the findings of the study indicated that unique contributions by youth–family relationship and youth–school relationship were different by racial/ethnic groups. These findings elucidate protective factors for adolescent depression and highlight the importance of cultural context of each racial/ethnic group.     

大气光传播研究中的湍流谱与间歇性

指出湍流大气中光传播理论分析与数值模拟方法存在的问题，简要分析了湍流谱的适用性与局限性，考察了湍流特征尺度在光传播问题中的作用，构造了与实验结果相符的湍流温度场的间歇性模型，为分析湍流间歇性对光传播的影响奠定了基础     

Integrating Risk and Resilience Approaches to Catastrophe Management in Engineering Systems

Recent natural and man‐made catastrophes, such as the Fukushima nuclear power plant, flooding caused by Hurricane Katrina, the Deepwater Horizon oil spill, the Haiti earthquake, and the mortgage derivatives crisis, have renewed interest in the concept of resilience, especially as it relates to complex systems vulnerable to multiple or cascading failures. Although the meaning of resilience is contested in different contexts, in general resilience is understood to mean the capacity to adapt to changing conditions without catastrophic loss of form or function. In the context of engineering systems, this has sometimes been interpreted as the probability that system conditions might exceed an irrevocable tipping point. However, we argue that this approach improperly conflates resilience and risk perspectives by expressing resilience exclusively in risk terms. In contrast, we describe resilience as an emergent property of what an engineering system does, rather than a static property the system has. Therefore, resilience cannot be measured at the systems scale solely from examination of component parts. Instead, resilience is better understood as the outcome of a recursive process that includes: sensing, anticipation, learning, and adaptation. In this approach, resilience analysis can be understood as differentiable from, but complementary to, risk analysis, with important implications for the adaptive management of complex, coupled engineering systems. Management of the 2011 flooding in the Mississippi River Basin is discussed as an example of the successes and challenges of resilience‐based management of complex natural systems that have been extensively altered by engineered structures.