立意宏大开掘精深--评刘业超著《雷沛鸿高等教育理论研究》

《雷沛鸿高等教育理论研究》作为全国教育规划国家教委重点课题研究成果 ,对中国近代教育家雷沛鸿的高教理论进行了系统研究和现实延伸 ,达到了对高教的现实模式进行系统扬弃 ,对其逻辑模式进行全面探索的目的。全书立意宏大 ,开掘精深 ,是一部颇为成功的学术力作。该书特点主要是 :内容全面 ,概括精当 ;分析透彻 ,创获良多 ;运用比较法 ,突出了雷氏思想的特色 ;注意历史与现实的联系 ;学术性与可读性的有机结合。     

20世纪上半叶制约中国社会发展的决定性因素

20世纪上半叶在以战争与革命为主题的时代背景下 ,外国帝国主义的侵略和俄国十月革命对中国社会发展产生了重大影响。半殖民地半封建的社会形态、错综复杂的阶级结构和阶级关系、2 0世纪中国的两大历史主题等也是制约中国社会发展的重要因素。正是由于对这四个因素的正确认识和准确把握 ,中华民族实现了 2 0世纪上半叶中国社会的巨大变革     

李觏遗存及祭祀述略

文章在查阅文献和实地考察的基础上，就抚州市区内李觏的遗存和历代祭祀情况作简要、客观的记述介绍，为李觏的研究者提供资料参照，其中，“龙马书院”过去少有提及，尤为值得关注。     

论现行大学生体质检测方法的科学性

本文通过回顾我国大学生体质检测标准的发展历程,对新颁布的大学生体质监测方法和标准的科学性进行技术分析,在此基础上,对新的体质检测方法的进一步深层次的应用进行探索。     

中共三代领导集体国防教育思想的历史探索

研究表明，中国共产党的三代领导集体对国防教育都很重 视，特别是在和平建设年代，中共领导人能随着国际国内形势的变化而适时调整其国防教育 思想的主要内容，从而使党的国防教育思想更趋成熟，向科学化、系统化、制度化迈进。     

大吴文化研究纵横谈

大吴文化是一种广义的地域文化 ,即从古到今 ,吴地人民所创造的一切文化的总汇。吴地地域的界定 ,有广义、狭义之分 ,广义的吴地地域的界定应以历史政区和吴语分布区为依据。从大吴文化视角出发 ,可将吴文化视为一种丰富的知识性的资源 ,人们可纵横结合 ,从人类社会的多个层面予以研究、开发和利用。在长期的发展中 ,吴文化形成了先吴文化、吴国文化、吴地文化三个时期。吴文化具有自己的鲜明特色 ,其中主要有依托水 ;融合古今 ,汇通中西 ;后来居上 ,敢为天下先等     

创业教育探究

创业教育是未来主导性教育体制与教育形态之一 ,它植根于创业概念、创业现象、创业学、创业大赛、创业者的研究之中。创业教育走过了一条从无到有 ,从精英到平民的道路。创业教育的兴起是国际政治、经济、文化、教育、价值竞争的结果     

Olive Oil Consumption in Greece: A Microeconometric Analysis

In this paper, the factors affecting at-home demand for three types of oils and fats in Greece, with emphasis on olive oil, are investigated using the linear approximation of the Almost Ideal Demand System and family budget survey data. To overcome the econometric problem created with the existence of zero expenditure, a generalization of the two-stage Heckman procedure is employed. In order to investigate the role of self-consumption, two different samples were used. The first includes all households; the second excludes those that acquire olive oil only from own production. According to the results, there are important differences in the first stage of the decision process between the two samples. Unlike the first stage, the second stage of the decision process found no important differences between the results for the two samples.     

Type I error rates from likelihood‐based repeated measures analyses of incomplete longitudinal data

The last observation carried forward (LOCF) approach is commonly utilized to handle missing values in the primary analysis of clinical trials. However, recent evidence suggests that likelihood‐based analyses developed under the missing at random (MAR) framework are sensible alternatives. The objective of this study was to assess the Type I error rates from a likelihood‐based MAR approach – mixed‐model repeated measures (MMRM) – compared with LOCF when estimating treatment contrasts for mean change from baseline to endpoint (Δ). Data emulating neuropsychiatric clinical trials were simulated in a 4 × 4 factorial arrangement of scenarios, using four patterns of mean changes over time and four strategies for deleting data to generate subject dropout via an MAR mechanism. In data with no dropout, estimates of Δ and SE_Δ from MMRM and LOCF were identical. In data with dropout, the Type I error rates (averaged across all scenarios) for MMRM and LOCF were 5.49% and 16.76%, respectively. In 11 of the 16 scenarios, the Type I error rate from MMRM was at least 1.00% closer to the expected rate of 5.00% than the corresponding rate from LOCF. In no scenario did LOCF yield a Type I error rate that was at least 1.00% closer to the expected rate than the corresponding rate from MMRM. The average estimate of SE_Δ from MMRM was greater in data with dropout than in complete data, whereas the average estimate of SE_Δ from LOCF was smaller in data with dropout than in complete data, suggesting that standard errors from MMRM better reflected the uncertainty in the data. The results from this investigation support those from previous studies, which found that MMRM provided reasonable control of Type I error even in the presence of MNAR missingness. No universally best approach to analysis of longitudinal data exists. However, likelihood‐based MAR approaches have been shown to perform well in a variety of situations and are a sensible alternative to the LOCF approach. MNAR methods can be used within a sensitivity analysis framework to test the potential presence and impact of MNAR data, thereby assessing robustness of results from an MAR method. Copyright © 2004 John Wiley & Sons, Ltd.     

衍生金融工具的计量研究

衍生金融工具因具有高风险性、时态未来性及品种多样性等特点，其计量问题一直是会计核算的核心和难点。传统的会计计量理论和方法已无法满足其要求。为此，有必要改进现行的会计核算体制，以公允价值取代历史成本对衍生金融工具进行计量，以增强信息披露的力度。