英国和美国公司治理模式的比较

国际上较为典型的公司治理模式是以英国和美国为代表的市场导向型公司治理模式．本文采用比较分析方法，力图在对比分析英美公司治理模式特点的同时，找出其共同点和差异，并从中发现问题．期望这种比较能为中国企业的公司治理提供一定的借鉴．     

人的全面发展问题研究综述

近年来,学者们对人的全面发展问题进行了热烈的探讨,主要涉及到人的全面发展的内涵、人的全面发展的价值和意义、人的全面发展思想在马克思主义体系中的地位、人的全面发展的历史规律以及人的全面发展的实现方式与途径等问题。本文对这些问题进行简要研究。     

试论传统药曲制醋方法的改进

在大量调查的基础上,本文运用微生物发酵原理,深入探讨了传统药曲制醋方法的优劣,提出保留传统工艺中药物参与发酵的特点,但应科学组方,并采用纯菌种制药曲,甚至不通过制药曲直接让药物参与发酵制醋。此建议能提高传统发酵工艺的科学性,降低生产成本,缩短生产周期,提高食醋的产量和质量。     

晶体点缺陷的定向跳跃率和跳离跳跃率

本文区分了晶体点缺陷的定向跳跃率与跳离跳跃率这两个概念,并且由此讨论了点缺陷的运动与复合以及晶体中原子扩散的微观机构,所得理论估算值更接近了实验值。     

论后代人权利的法律保护

面对当代人对后代人，乃至整个人类的生存和人类社会文明的发展产生不利影响的现实，各国和国际社会都逐步采取了相应措施来对后代人的利益进行保护。明确后代人权利的内容，梳理国际社会保护后代人的法律机制，以期为我国通过法律制度设计来保护后代人利益提供借鉴。     

Macroscopic Quantum Phenomena and Topological Phase Interference Effects in Single-Domain Magnets

The tunneling of macroscopic object is one of the most fascinating phenomena in condensed matter physics. During the last decade, the problem of quantum tunneling of magnetization in nanometer-scale magnets has attracted a great deal of theoretical and experimental interest. A review of recent theoretical research of the macroscopic quantum phenomena in nanometer-scale single-domain magnets is presented in this paper. It includes macroscopic quantum tunneling (MQT) and coherence (MQC) in single-domain magnetic particles, the topological phase interference or spin-parity effects, and tunneling of magnetization in an arbitrarily directed magnetic field. The general formulas are shown to evaluate the tunneling rate and the tunneling level splitting for single-domain AFM particles. A nontrivial generalization of Kramers degeneracy for double-well system is provided to coherently spin tunneling for spin systems with m-fold rotational symmetry. The effects induced by the external magnetic field have been studied, where the field is along the easy, medium, hard axis, or arbitrary direction.     

A differential game model for a developing and a developed country

A differential game (DG) model for a developing and a developed country is considered. Each player makes decisions about how much resource to be used to restrict the opponent's development so as to maximize his weighted sum of current consumption and final output. Current consumption is assumed to be preferred to final output for both players. The developing country is assumed to have a higher economic growth rate and a higher preference to final output, whereas the developed country is assumed to have a higher initial income and a higher efficiency in restricting his opponent. This problem is investigated under three kinds of information structures, i.e., a zerosum, a nonzero-sum, and a Stackelberg game. Open-loop equilibrium solutions are obtained for all the three cases. Economic implications of the result are provided. The research is supported by the National Natural Science Foundation of China under Grant Nos. 70771118 and 70371030 and the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry under Grant No. 2006.331.     

论成人教育档案工作者的继续教育

介绍了成人教育档案管理工作中存在的问题,分析了成人教育档案工作者进行继续教育的意义与误区,提出了完善成人教育档案工作者继续教育的途径和方法.     

High efficient moving object extraction and classification in traffic video surveillance

Moving object extraction and classification are important problems in automated video surveillance systems. A background model based on region segmentation is proposed. An adaptive single Gaussian background model is used in the stable region with gradual changes, and a nonparametric model is used in the variable region with jumping changes. A generalized agglomerative scheme is used to merge the pixels in the variable region and fill in the small interspaces. A two-threshold sequential algorithmic scheme is used to group the background samples of the variable region into distinct Gaussian distributions to accelerate the kernel density computation speed of the nonparametric model. In the feature-based object classification phase, the surveillance scene is first partitioned according to the road boundaries of different traffic directions and then re-segmented according to their scene localities. The method improves the discriminability of the features in each partition. AdaBoost method is applied to evaluate the relative importance of the features in each partition respectively and distinguish whether an object is a vehicle, a single human, a human group, or a bike. Experimental results show that the proposed method achieves higher performance in comparison with the existing method.