论陪审团制度在中国的确立

体现司法民主化和审判公正的陪审制度普遍存在于当代世界各国的立法与司法中,根据其形式的不同,又可分为以英美法系国家为代表的陪审团制和以大陆法系国家为代表的参审制两种。通过对两大法系陪审制的利弊权衡,我国应废弃现有的人民陪审员制,在保留法官合议的基础上重构适合我国国情的陪审团制度。     

《金匮要略》与中医临床基础学科设置

中医临床基础学科从其学科内涵到其外延仍不甚清楚。我们认为,现阶段的可行性操作方案应该是关于《伤寒论》、《金匮要略》、及温病学这三门课程各自的课程定位问题,这是中医临床基础学科得以存在或消失的工作前提。而就《金匮要略》而言,其作为专业课被自动分化,则应该冀望于《中医内科学》等临床学科在理论上的重大突破与改革。     

英国当代戏剧动态研究综述

二十世纪末,政治剧为新历史戏剧、生活戏剧、情感戏剧、实验戏剧等取代。革命剧场、边缘剧场、当面演剧场、叙事诗剧场等流派迭彩纷呈。诗情画意、轻歌曼舞成为舞台主要表现形式,而传统的打做念唱已不可同日而语。银幕、幻灯、激光、数码、高保真、虚拟等使戏剧获得了新的表演空间和表达纬度,引发了戏剧理念和实践的革命。     

经济增长的需求启动、需求约束及再启动

工业化进程中,经济增长将由供给推动及约束转变为需求启动及约束成为学术界一种共识。理论分析和实证分析表明,工业化进程中经济增长需求启动的一般规律是,消费需求启动增长力度由强变弱再变强,投资需求启动力度由弱变强再变弱,净出口需求是国内需求的有益补充。不同需求启动增长条件不具备或时机选择不当及需求结构失衡均会使经济增长受到明显的需求约束。改革开放以来,中国经济增长的需求启动政策较好地利用了经济增长的需求启动规律,获得了较好的增长绩效。现实条件下,对于即将进入工业化后期的中国而言,摆脱经济增长需求约束的关键是通过需求结构的战略性调整进行经济增长的需求再启动,以实现中国经济的持续稳定增长。     

E-Bayesian estimation and its E-MSE under the scaled squared error loss function,for exponential distribution as example

This paper is concerned with using the E-Bayesian method for computing estimates of exponential distribution. In order to measure the estimated error, based on the E-Bayesian estimation, we proposed the definition of E-MSE(expected mean square error). Moreover, the formulas of E-Bayesian estimation and formulas of E-MSE are given respectively, these estimations are derived based on a conjugate prior distribution for the unknown parameter under the scaled squared error loss function. The properties of E-MSE under different scaled parameters are also provided. Monte Carlo simulations are performed to compare the performances of the proposed methods of estimation and a real data set have been analysed for illustrative purposes. Results are compared on the basis of E-MSE.     

城市“蚁族”幸福感调查分析及影响因素探究——以江苏省南京市为例

城市＂蚁族＂是对＂高校毕业生低收入聚居群体＂的典型概括。对该群体幸福感及影响因素调查分析,对于解决城市＂蚁族＂相关问题具有重要的参考价值。参照总体幸福感量表（GWB）,从城市＂蚁族＂的实际出发,编制《城市＂蚁族＂幸福感调查问卷》,以江苏省南京市为例,运用层次分析法对调查数据进行测评。结果显示,城市＂蚁族＂幸福感颇低,工作就业状况、物质生活水平、情感婚姻问题、居住条件与环境、社会尊重、发展前景等因素与城市＂蚁族＂幸福感呈现显著相关。     

秦汉时期甘肃漆器艺术的文化内涵

任何艺术,都有自己产生的社会基础,要理解一个时代和地区的艺术,就首先要了解这个时代和地区的生活环境和文化背景。秦汉时期的甘肃,地处古丝绸之路必经之地,受其特殊的地理、社会环境的影响,其文化具有多源性文化特点,集南北东西诸方的先进文化因素,使得其文化因素呈现出多源性特点,文化内涵是多元的。秦汉时期甘肃的漆器艺术。其造型和纹饰等夹杂着楚文化、儒道思想等多重因素、是多种文化因素共同的结晶体。     

计算机使用对青年人工资率的影响:来自云南的经验证据

文章基于云南省青年调查的微观数据,利用Hierachy模型测算了计算机使用对于青年人小时工资的影响.经验研究发现,青年人在工作和生活中利用计算机确实能够有效提高劳动生产率,平均来说使得小时工资增加33%～76%;青年人利用计算机增加小时工资的效应是和本人的异质性及与使用计算机有关的异质性紧密联系的,在生活中根本不用计算机的青年,即使在工作中经常使用计算机,小时工资的增加也仅有33%左右;如果仅仅是在工作中偶尔使用计算机,则对于小时工资没有影响;在工作中使用计算机程度相同.的青年人,在生活中使用计算机程度越高,平均小时工资越高,这可能体现了善于学习和掌握新技术的个人特征对于劳动效率的影响.     

Gender differences on the job satisfaction in the phase of implementing advanced manufacturing technology in the Chinese manufacturing firms

This research gave an effort to study on gender differences in the job satisfaction for technological innovation at Chinese manufacturing firm. The exploratory study was conducted in four Chinese furniture manufacturing firms, which are all in the phases of introducing advanced manufacturing system. The results of statistical analysis show that general satisfaction of female employees to their jobs is significantly higher than male employees. In addition, supervisory satisfaction of female employees is significantly higher than male employees. The findings of the study reveal that activities are suggested to be carried out to increase the job satisfaction of male employees, especially improve communication and relationship between the managerial and the non-managerial levels in the innovation process. In addition, the higher job satisfaction of female employees could be considered a positive factor for the successful implementation of AMT in the technological innovation, although male employees are still dominated work force in the case study firms.     

Regularized parameter estimation of high dimensional t distribution

We propose penalized-likelihood methods for parameter estimation of high dimensional t distribution. First, we show that a general class of commonly used shrinkage covariance matrix estimators for multivariate normal can be obtained as penalized-likelihood estimator with a penalty that is proportional to the entropy loss between the estimate and an appropriately chosen shrinkage target. Motivated by this fact, we then consider applying this penalty to multivariate t distribution. The penalized estimate can be computed efficiently using EM algorithm for given tuning parameters. It can also be viewed as an empirical Bayes estimator. Taking advantage of its Bayesian interpretation, we propose a variant of the method of moments to effectively elicit the tuning parameters. Simulations and real data analysis demonstrate the competitive performance of the new methods.