李觏与佛教

李觏佛教思想具有双重性，既有排佛的一面，也有容佛的一面。排佛主要表现在两个领域，一是以经济建设、财富积累和社会秩序为内容的物质领域，一是儒家礼治伦理领域；容佛主要表现在对佛教某些教义、佛教教化功能的肯定。李觏佛教思想的基本内容及其特点，是颇有启示的。     

Measuring agreement between two statistics with applications to age standardization

Summary.  We detail a general method for measuring agreement between two statistics. An application is two ratios of directly standardized rates which differ only by the choice of the standard. If the statistics have a high value for the coefficient of agreement then the expected squared difference between the statistics is small relative to the variance of the average of the two statistics, and inferences vary little by changing statistics. The estimation of a coefficient of agreement between two statistics is not straightforward because there is only one pair of observed values, each statistic calculated from the data. We introduce estimators of the coefficient of agreement for two statistics and discuss their use, especially as applied to functions of standardized rates.     

论服务行政与政治发展之契合

人类生活发展至今，所倡导的服务行政与以往的统治行政、管制行政相比，在治理理念、治理机制、治理手段上等方面呈现出许多新变化，这些新变化与政治发展中的核心价值目标有着某些天然的契合。     

论构建和谐社会的利益认同性

当前在社会阶层不断分化、利益关系复杂化、利益矛盾突出化的形势下,中国共产党从立党为公、执政为民,长期巩固执政地位的战略高度出发,加快推进社会主义和谐社会建设。构建社会主义和谐社会在广大人民群众中产生了高度的利益认同。从三个方面分析其利益认同性:一是利益导向的正确性,二是利益分配的合理性,三是利益实现的可行性。     

故障诊断技术的应用

介绍了在工程界已广泛应用的信号分析诊断及尚停留在实验室探索的裂纹分析诊断,模糊分析诊断的工作原理和应用实例。     

匿名双向认证与密钥协商新协议

分析了一种新的匿名双向认证与密钥协商协议,它使移动网络向用户提供匿名服务, 访问网络与非法窃听者无法获知用户的身份信息,保证了用户身份、所在位置和行踪信息的机密性。该协议可以实现通信双方的相互认证,产生的会话密钥对通信双方是公正的。协议将双钥体制和单钥体制有机的结合起来,结构简单,安全高效。     

Residual analysis for spatial point processes (with discussion)

Summary.  We define residuals for point process models fitted to spatial point pattern data, and we propose diagnostic plots based on them. The residuals apply to any point process model that has a conditional intensity; the model may exhibit spatial heterogeneity, interpoint interaction and dependence on spatial covariates. Some existing ad hoc methods for model checking (quadrat counts, scan statistic, kernel smoothed intensity and Berman's diagnostic) are recovered as special cases. Diagnostic tools are developed systematically, by using an analogy between our spatial residuals and the usual residuals for (non-spatial) generalized linear models. The conditional intensity λ plays the role of the mean response. This makes it possible to adapt existing knowledge about model validation for generalized linear models to the spatial point process context, giving recommendations for diagnostic plots. A plot of smoothed residuals against spatial location, or against a spatial covariate, is effective in diagnosing spatial trend or co-variate effects. Q – Q -plots of the residuals are effective in diagnosing interpoint interaction.     

Goodness‐of‐fit methods for matched case‐control studies

The authors propose graphical and numerical methods for checking the adequacy of the logistic regression model for matched case‐control data. Their approach is based on the cumulative sum of residuals over the covariate or linear predictor. Under the assumed model, the cumulative residual process converges weakly to a centered Gaussian limit whose distribution can be approximated via computer simulation. The observed cumulative residual pattern can then be compared both visually and analytically to a certain number of simulated realizations of the approximate limiting process under the null hypothesis. The proposed techniques allow one to check the functional form of each covariate, the logistic link function as well as the overall model adequacy. The authors assess the performance of the proposed methods through simulation studies and illustrate them using data from a cardiovascular study.     

浅析雇佣关系中的商业秘密保护与竞业禁止制度

商业秘密能够给权利人带来巨大的经济价值或竞争优势，因此要加强对商业秘密的保护，尤其是要加强对雇佣关系中的商业秘密的保护。在雇佣关系中，商业秘密权的保护与择业自由权的保护存在着冲突，是保护商业秘密的难点。竞业禁止作为保护商业秘密的手段，同时存在于在职期间和离职后，雇主通常与雇员签订竞业禁止协议来保护商业秘密，如何确认竞业禁止协议的合法性、合理性问题是保护商业秘密的又一个难点。     

Bayesian analysis of outlier problems using divergence measures

A Bayesian approach is presented for detecting influential observations using general divergence measures on the posterior distributions. A sampling-based approach using a Gibbs or Metropolis-within-Gibbs method is used to compute the posterior divergence measures. Four specific measures are proposed, which convey the effects of a single observation or covariate on the posterior. The technique is applied to a generalized linear model with binary response data, an overdispersed model and a nonlinear model. An asymptotic approximation using Laplace method to obtain the posterior divergence is also briefly discussed.