天伦和人伦共生伦理永恒——秦汉传统中基于发生角度的伦理分类

天伦、人伦之分最晚始于秦汉,两者在彼此对应中时被混用。从发生角度而言,天伦是天生的伦理,人伦是人为的伦理。天伦、人伦同气分形,共生中国人的伦理永恒、伦理信仰：天伦同气,因血缘而在代代传承中贯通有限生命,内生诚信,分形人伦;人伦基于诚信,为各自目的,从血缘和天伦向外全方位分形为姻缘、情缘、地缘、业缘、神缘、网缘等,使夫妻、朋友及各种职业伦理、社会伦理视需要和可能而及时结合或解散。伦理永恒是中国人的永恒,内化为伦理信仰,与有关因素共生,永葆中华文明生生不息,迥异于世界其他几大文明的命运与其宗教信仰的关系。敦睦伦理,消除伦理危机,关系到国家长治久安、文明生生不息,社会各界责任重大,国家的伦理责任更为重大。     

使用种次号加辅助区分号对“同类书”的集中方法

由于在文献分类编目工作中会遇到各种内容相同,而在装帧形式、版本形式等方面不同的“同类书”,而将这些“同类书”在目录组织进而在分类排架中组织在一起十分困难,为了方便读者对比和选择使用,阐述了采用种次号加辅助区分号将这些“同类书”集中的具体方法,结果表明,此种方法不仅目录组织清晰,还有助于读者对图书的检索和利用。     

论文化产业内部结构的划分与演进——基于核心要素的视角

当前理论界对文化产业内部结构划分没有一个令人信服的方法,本文提出“核心要素”的新视角,将文化产业划分为资源型文化产业、制造型文化产业和创意型文化产业。文化产业内部结构的演进是一个客观的历史进程,遵循着由资源型文化产业向制造型文化产业再到创意型文化产业的发展路径。解构文化产业结构并深入研究其演进规律,对文化产业的发展具有重要的指导意义。     

Analysis of child labour in Peru and Pakistan: A comparative study

This paper analyses child labour participation and its key determinants using data sets from Peru and Pakistan. The results include tests of the ‘Luxury’ and ‘Substitution’ hypotheses that play key roles in recent studies on child labour and child schooling. The results reject both hypotheses in the context of child labour in Pakistan and suggest that income and related variables do not have the expected negative effect on children's work input. Rising wages of adult female labour in Pakistan, and falling adult male wage in Peru lead to increased participation of children in the labour market. The results on the combined country data formally establish the presence of strong individual country effects in the estimated regressions. For example, ceteris paribus, a Peruvian child is more likely to experience schooling than a Pakistani child. However, both countries agree on the positive role that adult female education and infrastructure investment in basic amenities can play in discouraging child labour and encouraging child schooling. Received: 24 August 1998/Accepted: 10 March 1999     

Personal income taxation under mobility, exogenous and endogenous welfare weights, and asymmetric information

This paper analyses how governments should tax labour income accruing to a group of highly skilled and geographically mobile individuals who divide their time or career between several jurisdictions. The analysis differs from previous models on migration and taxation by addressing optimal regulation when agents work for several principals. Optimal taxation is developed for social welfare functions with exogenous and endogenous welfare weights. Marginal income taxes are applied for screening purposes, and the rates are lower with endogenous than with exogenous welfare weights. Received: 22 January 1998/Accepted: 3 July 1999)     

从《爬行纲分类》课件开发中探讨CAI课件的设计和创作策略

通过对MCAI课件《爬行纲分类》的制作,探讨了在设计MCAI课件时所需要注意的问题。     

Classification with minimum ambiguity under distribution heterogeneity

The traditional classification is based on the assumption that distribution of indicator variable X in one class is homogeneous. However, when data in one class comes from heterogeneous distribution, the likelihood ratio of two classes is not unique. In this paper, we construct the classification via an ambiguity criterion for the case of distribution heterogeneity of X in a single class. The separated historical data in each situation are used to estimate the thresholds respectively. The final boundary is chosen as the maximum and minimum thresholds from all situations. Our approach obtains the minimum ambiguity with a high classification accuracy allowing for a precise decision. In addition, nonparametric estimation of the classification region and theoretical properties are derived. Simulation study and real data analysis are reported to demonstrate the effectiveness of our method.     

A reflected feature space for CART

We present an algorithm for learning oblique decision trees, called HHCART(G). Our decision tree combines learning concepts from two classification trees, HHCART and Geometric Decision Tree (GDT). HHCART(G) is a simplified HHCART algorithm that uses linear structure in the training examples, captured by a modified GDT angle bisector, to define splitting directions. At each node, we reflect the training examples with respect to the modified angle bisector to align this linear structure with the coordinate axes. Searching axis parallel splits in this reflected feature space provides an efficient and effective way of finding oblique splits in the original feature space. Our method is much simpler than HHCART because it only considers one reflected feature space for node splitting. HHCART considers multiple reflected feature spaces for node splitting making it more computationally intensive to build. Experimental results show that HHCART(G) is an effective classifier, producing compact trees with similar or better results than several other decision trees, including GDT and HHCART trees.     

现行高校分类模式:局限与超越

在对目前高校分类进行考察的基础上,指出现行高校分类模式存在着层次与类型混淆、科研与教学对立、重点与类型匹配、学制与类型挂钩等弊端。提出了高校类型划分的社会功能视角,将高等学校划分为:学术型高校、行业型高校和职业型高校。     

英语写作策略分类探讨

英语写作策略分类研究是一个基础研究课题,对英语写作研究及写作教学实践具有实际价值和现实意义。本文分析了目前研究中的英语写作策略分类存在的问题,并回顾了英语写作及策略的相关理论,提出了英语写作及写作策略的学习和产出性质,最后文章提出了一个便于取舍同时也便于实证研究展开与操作的英语写作策略分类框架。