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     

坚持尊重社会发展规律与尊重人民历史主体地位的一致性——关于党的根本宗旨的哲学思考

把握党的根本宗旨 ,只有从历史规律实现的特殊性上理解人民的历史主体性与从人民的历史主体性上把握历史发展的规律的统一中 ,从马克思主义真理观是与价值观的统一中 ,才能深刻理解“党要始终代表中国最广大人民的根本利益”的真理性 ;实践党的根本宗旨 ,必须在坚持尊重社会发展规律与尊重人民历史主体地位的一致性的基础上 ,坚持为崇高理想奋斗与为最广大人民谋利益的一致性 ,坚持完成党的各项工作与实现人民利益的一致性 ,坚持一切为了人民群众与一切依靠人民群众的一致性。     

对我国高校思想道德教育现状与发展的分析

我国高等学校思想道德教育的理论体系比较完备,但具体实践中还存在一些问题,面对这一现状,我们可以采取有效措施,提高高等学校思想道德教育的水平。     

颂扬真善美鞭笞假恶丑--《红字》主题道德意义探析

《红字》问世一个半世纪以来 ,中外评论界就其主题研究见解颇多。在探讨其主题的道德意义上 ,西方评论界较普遍地认为《红字》中宣扬的是人生来皆有罪的清教教义 ,小说的主题是论罪恶。本文探析了《红字》主题的道德意义 ,即《红字》主题思想的主旋律不是论罪恶 ,而是论人性 (包括善与恶 ) ,论道德行为 (包括德行与恶行 )。它不仅无情地揭露和鞭笞了人性和人类道德行为中的假恶丑 ,而且大力颂扬了人性和人类道德行为中的真善美     

凉山州乌饭树资源的开发利用

本文对产于凉山州乌饭树的生物学特征、分布和生态环境、食用和药用价值、开发利用现状作了综合概述,并提出了开发利用和保护该资源的建议。     

从“三个代表“的高度谈高校网络思想政治工作

随着信息技术特别是网络技术的飞速发展 ,思想政治工作从内容到形式、方法、手段、载体等方面都发生了重大变革。高校作为实践“三个代表”的前沿阵地 ,开展思想政治工作应该密切按照“三个代表”的要求。从“三个代表”思想的高度加以论述 ,提出了三个观点 ,即 :高校网络思想政治工作要为发展先进社会生产力提供强有力的支持 ,要为中国先进文化导向领航 ,要牢固确定为师生员工服务的宗旨     

整合教育:高校思想政治教育的新思路——应对高校“两课”教学的离散趋向

我国高校将“两课”作为实施思想政治教育的主战场目前存在的最大问题是教育教学的某些方面出现离散趋向。本文通过对高校“两课”中出现的离散趋向的分析，认为在思想政治教育教学实践中要实施整合教育，并提出整合教育的具体构想。     

Simple detection of outlying short time series

Sets of relatively short time series arise in many situations. One aspect of their analysis may be the detection of outlying series. We examine the performance of standard normal outlier tests applied to the means, or to simple functions of the means, of AR(1) series, not necessarily of equal lengths. Although unequal lengths of series implies that the means have unequal variances, that are only known approximately, it is shown that nominal significance levels hold good under most circumstances. Thus a standard outlier test can usefully be applied, avoiding the complication of estimating the time series' parameters. The test's power is affected by unequal lengths, being higher when the slippage occurs in one of the longer series     

我国网络金融的发展现状与监管思路

继金融深化、金融自由化、金融国际化之后,金融网络化的问题再次成为关注的焦点。本文回顾了网络金融的发展态势及其可能对传统金融产业产生的深刻影响,对我国网络金融在发展过程中存在的主要问题进行了深入分析,在此基础上对如何加强金融监管以促进我国网络金融的健康发展提出了积极的对策建议。     

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.