基于客户/服务器模式的非正常RPC的研究

分析了客户／服务器模式下远程过程调用(RPC)原理及其实现方法，重点讨论了五种非正常情况下RPC的处理方法。     

完善民事简易程序的现实必要性及其应遵守的原则

民事简易程序亟需加以完善.完善的现实必要性一是"权利的勃兴是一般背景";二是"冲突增多与司法资源有限是客观需求".完善时必须遵守最低程序保障原则、确保基本公正的原则和司法大众化的原则.     

刑事普通程序简化审理的制度选择与模式构建

现代社会犯罪率上升 ,刑事司法积案严重 ,对适用普通程序的刑事案件实行简化审理 ,有助于提高诉讼效率、缩短诉讼周期、降低诉讼成本 ,是司法实践中行之有效的应对之举。本文从刑事案件实行普通程序简化审理的海外借鉴及现实需要等角度论证了实行该制度的必然性 ,并从理论与实践相结合的角度 ,对普通程序简化审理的适用条件与操作流程作了深入的阐述     

论我国民事诉讼检察监督制度的完善

目前民事检察监督存在监督范围狭窄、监督方法过于单一、监督流于形式等诸多问题;针对这些问题,有必要采取一系列对策,如转变观念、完善立法、建立检察人员和审判人员轮换机制,以完善我国民事诉讼检察监督制度,实现司法公正。     

论法院在民事诉讼中对行政行为合法性的审查

法院在审理民事案件过程中,当事人有时会对民事行为据以成立的具体行政行为的合法性提出异议。这样,具体行政行为合法性的确定往往成为民事诉讼审理和裁决的先决条件。对于这一问题如何解决,民事诉讼法和行政诉讼法均未作出明确规定,理论界和司法实务界也众说纷纭。法院必须走出在民事诉讼中不能审查具体行政行为合法性的观念误区,并对民事诉讼中具体行政行为的合法性进行审查。     

关联理论视角下的隐喻翻译研究——以《抗击新冠肺炎疫情的中国行动》英译为例

借助Pragglejaz团队的“隐喻识别程序”对《抗击新冠肺炎疫情的中国行动》白皮书中的隐喻进行分类描述,从认知关联视角切入对各类隐喻翻译进行案例分析。为实现白皮书类外宣文本国际传播的最佳社会效益,最大语境效果、共同的语境假设以及交际传播的目的是译者在实现隐喻跨语际转换时的重要考量准则。     

论民事诉讼程序中的个人主体性——以程序利益与程序主体的关系为视角

国家主体型、国家—个人主体型和个人主体型三种不同类型的程序主体性,反应了诉讼程序从国家控制到个体的人的自由的发展趋势。现代诉讼程序强调程序主体的个人主体性,个体的人应当成为程序独立的自主、自在性主体,这就需要其在诉讼程序中具有独立的属己利益支撑。民事诉讼程序应当淡化国家色彩,以个人的程序利益保障为基点,实现个人的独立性程序地位,进而使民事诉讼程序获得真正的独立性。     

Sequential Hypothesis Tests for Identifying the Minimum Dose with a Threshold Effect

We propose a procedure to identify a lowest dose having greater effect than a threshold dose under the assumption of monotonicity of dose mean response in dose response test. So, we use statistics based on contrasts among sample means and apply a group sequential procedure to our procedure to identify effectively the dose. If we can identify the dose at an early step in the sequential test, since we can terminate the procedure with a few observations, the procedure is useful from an economical point of view. In a simulation studies, we compare the superiority among these procedures based on three contrasts.     

Justice involvement among homeless individuals with mental illnesses: Are self-report and administrative measures comparable?

Individuals with mental illnesses who experience homelessness have frequent interactions with the criminal justice system. Correctly measuring this involvement is essential to develop and evaluate the efficacy of intervention programs. Criminal justice involvement is typically assessed through administrative records or self-reported accounts. The aims of this study are to: 1) assess agreement between self-report and administrative data related to court appearances, and 2) identify individual characteristics that affect discrepancies between sources. Participants were 468 homeless persons with mental illness from the Montreal site of the At Home/Chez Soi randomized controlled trial, in Canada. Self-reported data was collected through an interviewer-administered questionnaire. Administrative data was collected through provincial and municipal court databases. Overall, agreement was good. Discrepancies were more common among those with a diagnosis of mood disorder with psychotic features, and those with a criminal history. Increased age and interviewer’s perception of sincerity and interest increased likelihood of concordance. Generally, high agreement between self-report and administrative data suggests that either source can provide reliable information. Further work to understand predictors of discrepancies could further enhance the quality of data collected through these different sources.     

Accounting for Uncertainty in Heteroscedasticity in Nonlinear Regression

Toxicologists and pharmacologists often describe toxicity of a chemical using parameters of a nonlinear regression model. Thus estimation of parameters of a nonlinear regression model is an important problem. The estimates of the parameters and their uncertainty estimates depend upon the underlying error variance structure in the model. Typically, a priori the researcher would not know if the error variances are homoscedastic (i.e., constant across dose) or if they are heteroscedastic (i.e., the variance is a function of dose). Motivated by this concern, in this paper we introduce an estimation procedure based on preliminary test which selects an appropriate estimation procedure accounting for the underlying error variance structure. Since outliers and influential observations are common in toxicological data, the proposed methodology uses M-estimators. The asymptotic properties of the preliminary test estimator are investigated; in particular its asymptotic covariance matrix is derived. The performance of the proposed estimator is compared with several standard estimators using simulation studies. The proposed methodology is also illustrated using a data set obtained from the National Toxicology Program.