“岂不怀匡济,天运当何如”──论天然禅师的安攘匡济情怀与通脱的应世方式

清初岭南佛门领袖天然禅师,年轻时抱有强烈的报国安民的情怀。虽然在明亡之前即已剃度,但安攘济世之心并未泯灭。甲申、乙酉之后,身为僧人的他,并未真正弃绝世事。他的一些行为仍与变乱的时局密切相关。其后,他在诗歌中不断地抒写着故国丘墟之感。其沧海桑田之作俨然前明遗民。尽管如此,他并没有拒绝与新朝官员的交接。甚至其诗歌中还有一些肯定新朝官员的作品。可以看出天然禅师在应世方式上是相当通脱的。     

流浪乞讨人员救助管理制度的实践社会学分析——以北京市C救助站为例

基于对北京市C救助站的个案调查,以实践社会学为理论指导,比较分析我国救助管理制度的核心理念从＂收容＂转向＂救助＂的转变,尤其对实施过程中的实践逻辑进行了深入探究。研究认为,救助管理制度在运行中,其实践逻辑发生了偏误。要完善救助管理制度,不仅要充分调动社会救助主体的积极性,加强部门合作,而且要从理念上升为行动,确保制度的执行。     

“联系说”视角下商标俗称抢注案的法律思考

商标权的客体为相关公众所认知的商标与商标所标识的商品或服务之间的联系,以此为基础可以认定商标俗称的抢注构成对商标权的侵犯,同时,商标俗称可以被认定为近似商标的一种形式,从而适用《商标法》第52条的规定。此外,在商标俗称的问题上,不能适用法律对驰名商标的特殊保护。     

民族互嵌式社区治理共同体的系统审视与建构路径——以云南省洱源县郑家庄为考察中心

社会治理共同体视域下推进我国民族互嵌式社区治理共同体建设,既是促进各民族相互嵌入的基本着力点,也是落实民族工作“重在基层”的重要体现。本文通过对郑家庄典型社区进行调查研究,将民族互嵌式社区的系统建构与社会治理共同体建设相结合、相融通,见微知著,研究和探讨多民族社区治理的普遍规律,在共同体叙事中探寻我国民族互嵌式社区治理共同体建构的内在机理与框架体系。郑家庄通过系统推进“居住互嵌、组织互嵌、经济互嵌、文化互嵌与心理互嵌”,探索建构民族互嵌式社区生活共同体、组织共同体、经济共同体、文化共同体与情感共同体,为多民族社区实现“建设人人有责、人人尽责、人人享有的社会治理共同体”目标提供了实践样本。     

Modelling Variability in the Branching Structure of Strawberry Inflorescences

The branching structure of inflorescences of the cultivated strawberry ( Fragaria × ananassa Duch.) is very variable. This paper demonstrates that some aspects of this variability are well described by a simple stochastic model of branching that has two adjustable parameters. The model is shown to provide a good fit to data from a set of almost 700 inflorescences of the cultivar Elsanta, collected over two successive years. For one parameter the maximum likelihood estimator is a moment estimator which is fully efficient even if the detailed branching structure of the inflorescences is not recorded. This parameter provides a convenient summary of branching vigour. The maximum likelihood estimator of the second parameter must be determined iteratively and can be quite inefficient unless the full branching structure is recorded. The model demonstrates that branching structure is affected by the order in which inflorescences emerge on the plant.     

A modified Kolmogorov-Smirnov test for a rectangular distribution with unknown parameters: Computation of the distribution of the test statistic

A recursive scheme for the calculation of the distribution of the test statistic of a modified Kolmogorov-Smirnov-test for a rectangular distribution with unknown parameters is given.     

英语俚语汉译初探

英语俚语难以辨认和理解,因而在翻译中其意义和风格难以得以充分传达。为了保证其意义和风格在译文中充分再现,译者必须准确理解原文,再现原文特色以及说话者的个性     

Non-Normal Bivariate Distributions with Normal Marginals

The purpose of this note is to indicate that Fieller's Theorem can be expressed in the matrix formulation of the general linear model. The practical consequence is that one general computer program which can estimate the parameters and test the validity of a pertinent model, can also compute confidence limits for the ratios of any linear combinations of the parameters.     

Central Limit Theorem approximations for the number of runs in Markov-dependent binary sequences

We consider Markov-dependent binary sequences and study various types of success runs (overlapping, non-overlapping, exact, etc.) by examining additive functionals based on state visits and transitions in an appropriate Markov chain. We establish a multivariate Central Limit Theorem for the number of these types of runs and obtain its covariance matrix by means of the recurrent potential matrix of the Markov chain. Explicit expressions for the covariance matrix are given in the Bernoulli and a simple Markov-dependent case by expressing the recurrent potential matrix in terms of the stationary distribution and the mean transition times in the chain. We also obtain a multivariate Central Limit Theorem for the joint number of non-overlapping runs of various sizes and give its covariance matrix in explicit form for Markov dependent trials.     

An exact density-based empirical likelihood ratio test for paired data

The Wilcoxon rank-sum test and its variants are historically well-known to be very powerful nonparametric decision rules for testing no location difference between two groups given paired data versus a shift alternative. In this title, we propose a new alternative empirical likelihood (EL) ratio approach for testing the equality of marginal distributions given that sampling is from a continuous bivariate population. We show that in various shift alternative scenarios the proposed exact test is superior to the classic nonparametric procedures, which may break down completely or are frequently inferior to the density-based EL ratio test. This is particularly true in the cases where there is a nonconstant shift under the alternative or the data distributions are skewed. An extensive Monte Carlo study shows that the proposed test has excellent operating characteristics. We apply the density-based EL ratio test to analyze real data from two medical studies.