论行政证据的规制与保障功能

行政证据不同于行政诉讼证据,它是一种非讼类证据,主要用于行政执法程序中,具有重要的作用和特殊的法律地位。行政证据是规范行政权力行使的有效手段,是维护公共利益、保护相对人合法权益的重要保障。行政证据是能独立存在并起重要作用的重要证据制度。     

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.     

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。     

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.     

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.     

An integrated model based on statistical process control and maintenance for two-stage dependent processes

The close relationship between quality and maintenance of manufacturing systems has contributed to the development of integrated models which use the concept of statistical process control (SPC) and maintenance. This article demonstrates the integration of the Shewhart individual-residual (Z_X ? Z_e) joint control chart and maintenance for two-stage dependent processes by jointly optimizing their policies to minimize the expected total costs associated with quality, maintenance and inspection. To evaluate the effectiveness of the proposed model, two stand-alone models—a maintenance model and an SPC model—are proposed. Then a numerical example is given to illustrate the application of the proposed integrated model. The results show that the integrated model outperforms the two stand-alone models with regard to the expected cost per unit time. Finally, a sensitivity analysis is conducted to develop insights into time parameters and cost parameters that influence the integration efforts.     

Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA

Measuring and improving the efficiency of the Chinese commercial banking system has recently attracted increasing interest. Few studies, however, have adopted the two-stage network DEA to explore this issue in the Chinese context. Because the entire operational process of the banking system could be divided into two sub-processes (deposit producing and profit earning), the evaluation of the sub-process efficiencies could be used to assist in identifying the sources of the inefficiency of the entire banking system. In this study, we utilize the network DEA approach to disaggregate, evaluate and test the efficiencies of 16 major Chinese commercial banks during the third round of the Chinese banking reform period (2003–2011) with the variable returns to scale setting and the consideration of undesirable/bad output. The main findings of this study are as follows: (i) the two-stage DEA model is more effective than the conventional black box DEA model in identifying the inefficiency of banking system, and the inefficiency of the Chinese banking system primarily results from the inefficiency of its deposit producing sub-process; (ii) the overall efficiency of the Chinese banking system improves over the study period because of the reform; (iii) the state-owned commercial banks (SOBs) appear to be more overall efficient than the joint-stock commercial banks (JSBs) only in the pre-reform period, and the efficiency difference between the SOBs and the JSBs is reduced over the post-reform period; (iv) the disposal of non-performing loans (NPLs) from the Chinese banking system in general explains its efficiency improvement, and the joint-equity reform of the SOBs specifically increases their efficiencies.