试论高职院校图书馆的特色化建设

网络环境下,高职院校图书馆的特色化建设应针对发展状况,分析自身优势和需求,建立以服务于特定读者群为目标的特色馆藏,建立"以人为本"的特色化服务模式,建立促进图书馆自身发展的人力资源开发特色体系,建立优良的现代图书馆网络体系。     

农村宅基地使用权流转之法律研究

土地权利和利益的合理配置是实现社会公正的一个重要方面。农村宅基地使用权流转在我国目前法律框架下是不受肯定的，但是事实上存在的地下流转市场呈失控状态。出于土地资源的充分利用和农民合法利益的保护，流转是十分必要的。因此，立法宜“改堵为疏”。应通过实践、配套政策、立法来完善这项制度，使之更符合我国市场经济的需要，以维护农民的利益。     

安置方式、人际交往与移民适应:江苏、浙江343户三峡农村移民的比较研究

本文依据对江苏、浙江两省6个县343户三峡外迁农村移民的调查数据，分析了相对集中与完全分散这两种不同的安置方式，以及由此所形成的两种不同的人际交往状况对外迁移民社会适应的影响。研究发现，从总体上看，移民在安置地的人际交往状况对移民的社会适应的影响十分显著。无论是移民之间的交往、还是移民与当地居民之间的交往，都会大大增强移民融入当地社会的程度。     

Parent‐Adolescent Communication About Sex: Retrospective Reports by Latino College Students

Latina female (n= 97) and Latino male (n= 69) college students (M age = 21.4 years) completed self‐report surveys regarding family of origin experiences, including sexual communication with parents while growing up. Latino parents of this comparatively highly educated sample tended to use direct rather than indirect strategies for communicating about sexuality with their children. Young women reported higher levels of sexual communication with mothers while growing up than did young men, and respondents reported less communication with fathers than mothers. Among young women, sexual communication with mother was positively associated with non‐Mexican origin and negatively associated with having older brothers living at home. In contrast, maternal education was positively associated with mother‐son communication about sex. Paternal education and the absence of older brothers positively predicted communication with both sons and daughters. The analyses provide novel information regarding sexual communication in Latino families and suggest directions for future research.     

Choice of the primary analysis in longitudinal clinical trials

Missing data, and the bias they can cause, are an almost ever‐present concern in clinical trials. The last observation carried forward (LOCF) approach has been frequently utilized to handle missing data in clinical trials, and is often specified in conjunction with analysis of variance (LOCF ANOVA) for the primary analysis. Considerable advances in statistical methodology, and in our ability to implement these methods, have been made in recent years. Likelihood‐based, mixed‐effects model approaches implemented under the missing at random (MAR) framework are now easy to implement, and are commonly used to analyse clinical trial data. Furthermore, such approaches are more robust to the biases from missing data, and provide better control of Type I and Type II errors than LOCF ANOVA. Empirical research and analytic proof have demonstrated that the behaviour of LOCF is uncertain, and in many situations it has not been conservative. Using LOCF as a composite measure of safety, tolerability and efficacy can lead to erroneous conclusions regarding the effectiveness of a drug. This approach also violates the fundamental basis of statistics as it involves testing an outcome that is not a physical parameter of the population, but rather a quantity that can be influenced by investigator behaviour, trial design, etc. Practice should shift away from using LOCF ANOVA as the primary analysis and focus on likelihood‐based, mixed‐effects model approaches developed under the MAR framework, with missing not at random methods used to assess robustness of the primary analysis. Copyright © 2004 John Wiley & Sons, Ltd.     

文化差异给英汉翻译带来的困难

翻译涉及到语言和文化。本文从五个方面阐述了不同的文化观念给翻译带来的困难,并以举例的方式提出了解决这些困难的方法。     

当代中国农村扶贫开发的历史经验

当代中国农村扶贫开发的历史经验主要是:一、制定符合国情的贫困标准,明确扶贫开发的具体帮扶对象;二、坚持开发式扶贫,把解决贫困问题与对贫困地区进行全面开发结合起来;三、坚持政府主导,广泛动员和组织全社会力量参与扶贫开发;四、积极开展与国际社会在扶贫开发领域中的交流与合作;五、高度重视和充分发挥科技教育在扶贫开发中的重要作用。     

应用型本科机械设计制造及自动化专业人才培养方案研究

本文针对应用型本科机械设计制造及其自动化专业如何培养当今社会急缺的高技能复合型人才问题作了探索与研究,提出了新的课程体系与培养方案。     

统筹城乡发展与完善农村土地流转制度的思考

针对中国农村土地流转不畅阻碍统筹城乡发展的现状,政府应从城乡两个方面完善土地流转制度,即建立与土地流转制度相关的制度体系,包括土地使用权市场、培育土地流转中介组织、集中使用农业补贴和以土地换保险等制度。为确保土地流转促进统筹城乡发展,实现城镇政府和进城务工农民的双赢,政府应对自身行为加以规范。     

Marginal and association regression models for longitudinal binary data with drop‐outs: A likelihood‐based approach

Longitudinal data often contain missing observations, and it is in general difficult to justify particular missing data mechanisms, whether random or not, that may be hard to distinguish. The authors describe a likelihood‐based approach to estimating both the mean response and association parameters for longitudinal binary data with drop‐outs. They specify marginal and dependence structures as regression models which link the responses to the covariates. They illustrate their approach using a data set from the Waterloo Smoking Prevention Project They also report the results of simulation studies carried out to assess the performance of their technique under various circumstances.