中国近代建筑史研究与近代建筑遗产保护

将20世纪40年代至今的中国近代建筑史研究分为初始期、起步期和发展期三个阶段;并根据中国近代建筑特性将其分为承续型、影响型、早发型、后延型四类,在此基础上提出体现出传统承续与外来文化之双重影响为中国近代建筑的特性,必须对其科学地进行分级分类,区别对待,根据具体情况采取保护、利用(再利用),废弃或拆除的对策。结合城市与历史地段研究、工业遗产保护以及相关个体建筑复原保护实践,论述近代遗产保护工作的意义,提出近代遗产保护工作的具体做法。     

从知识分类的角度构建新的课堂教学结构

自凯洛夫的五步课堂教学结构产生以来,关于教学结构的探讨一直没有间断。但是,传统的教学结构常常囿于学时与教学内容之间的一一对应关系,而且没有明确的知识分类的观念,忽略了学习和教学过程的多样性。针对此种现象,应根据现代认知心理学中知识分类的思想,构建新的课堂教学结构。     

基于多标准的ABC分类库存模型

ABC分类库存方法是企业应用最广泛的库存分类方法之一。国内外学者在研究ABC库存分析法时通常只针对一种分类标准,然而按照多种标准进行分类的库存模型则研究的相对较少。提出了一种新型的基于多标准的ABC分类库存模型,此模型概括了线性和非线性的情况,重点研究库存物品权重在分类中的影响作用。通过对比本模型与AHP方法所得出的结果,然后进行数据整理、对比分析,得出了库存物品的权重在分类决策中占有非常重要的地位。最后,通过数据证明得到此研究方法在库存决策方面更优,能够更好地为库存管理者提供决策依据。     

论学科的分类

人类的知识体系不能只是简单地分为社会科学和自然科学两大类,而应该分为社会科学、自然科学、思维科学、工程科学和人文学科五大类.这五类学科互相交叉、互相渗透,构成了错综复杂的知识体系.搞清学科的分类对学科本身的发展和社会的发展都大有益处.     

也谈历史行政地理分析法在方言分区中的应用——以苏沪嘉地区为例

利用《汉语方言地图集》的材料,对苏沪嘉地区方言的语音、词汇、语法进行综合比较.在此基础上,运用历史行政地理分析法,对苏沪嘉方言的分区方案进行讨论,指出维持原来划分的苏沪嘉小片是最佳方案.     

Saving behaviour and earnings uncertainty: Evidence from the British Household Panel Survey

For the first time, this paper uses a panel data set, the British Household Panel Survey, to analyse saving behaviour in Britain. One objective is to test the precautionary saving hypothesis, according to which households save to self-insure against uncertainty. Our results show that in accordance with this hypothesis, various measures of uncertainty based on earnings variability have a statistically significant effect on households' saving decisions. Moreover, in accordance with the life cycle model, households save more if they expect their financial situation to deteriorate. Received: 15 June 1999/Accepted: 4 January 2001     

Childhood family structure and young adult behaviors

This paper examines a wide variety of forms, and full histories, of family structure to test existing theories of family influences and identify needs for new theories. The focus is on links between childhood family structure and both completed schooling and risk of a nonmarital birth. Using a 27-year span of panel (PSID) data for U.S. children, we find that: (a) change is stressful, (b) timing during childhood is relevant, (c) adults other than parents are important, and (d) two more recently studied family structures (mother-with-grandparent(s) and mother-with-stepfather) do not fit the molds of existing theories. The findings suggest that new theories should consider allocation of resources and reasons people group into family structures. Received: 11 September 1998/Accepted: 27 March 2000     

Intention to emigrate in transition countries: the case of Albania

We analyse the profile of potential emigrants from Albania using data from the Central and Eastern Europe Eurobarometer in 1992. Respondents were asked to rate on a four-point scale the likelihood that they would go to live in Western Europe. Our results show that intention to emigrate is correlated positively with males, education and certain occupations, and negatively with age. There is little relation between emigration and income. Those who support the introduction of a free market in Albania are also more likely to emigrate than those who do not. Received: 24 August 1998/Accepted: 17 April 2000     

Ecosystem resilience, specialized adaptation and population decline: A modern Malthusian theory

The purpose of this article is to construct a theoretical framework characterizing the interactions among economic development, ecosystem equilibrium and possible population decline, and to discuss the population dynamics in the very long run. In our framework, economic activities bridge population and environment. On the one hand, human beings reform the environment through economic activities; on the other hand, economic activities decrease environmental resilience and increase the possibility of an environmental change in a discontinuous and irreversible pattern, as described in Arrow et al. (1995). Furthermore, a highly developed economy also causes over-specialization of human adaptation, which tends to exaggerate the impact of an environmental change on human population size. Received: 19 January 1999/Accepted: 3 July 1999     

Sparse Bayesian variable selection in multinomial probit regression model with application to high-dimensional data classification

Here we consider a multinomial probit regression model where the number of variables substantially exceeds the sample size and only a subset of the available variables is associated with the response. Thus selecting a small number of relevant variables for classification has received a great deal of attention. Generally when the number of variables is substantial, sparsity-enforcing priors for the regression coefficients are called for on grounds of predictive generalization and computational ease. In this paper, we propose a sparse Bayesian variable selection method in multinomial probit regression model for multi-class classification. The performance of our proposed method is demonstrated with one simulated data and three well-known gene expression profiling data: breast cancer data, leukemia data, and small round blue-cell tumors. The results show that compared with other methods, our method is able to select the relevant variables and can obtain competitive classification accuracy with a small subset of relevant genes.