新农村人政治意识的调查分析——以三峡库区青年为表述对象

当代中国新农村人的政治意识正经历从盲从封闭到理性开放的转变,并构成中国特色社会主义现代化体系的重要内容。对三峡库区（夷陵）青年在政治认知、政治态度、政治信任等方面的问卷调查,在总体上反映新农村人在政治意识上对主流保持基本的认同。但社会的急剧转型客观上可能会导致新农村人政治意识＂去主流化＂。应对方略在于实现新农村人政治意识现代化与乡村社会马克思主义大众化的同一。应以组织、教育、大众媒介、文化公共品、城乡流动五个方面作为乡村社会马克思主义大众化之路径,并据此重建新农村人的主流政治意识,养成以中国特色社会主义为导向的现代性政治意识。     

广东职业体育市场的布局和发展重点

改革开放以来,广东职业体育市场的发展取得了较大的成绩,同时也存在产值小、带动相关产业能力弱、竞技水平不高、职业俱乐部分布不合理、政府管理缺失等问题。促进广东职业体育市场可持续发展的主要途径有：合理配置资源,城市体育品牌项目错位发展,构建广东职业体育市场发展群网;重视体育无形资产开发,增强职业体育市场自身“造血”功能;以深化职业体育体制改革为手段、市场化进程为目的,促进政府管理与市场发展的同步和融合等。     

西方国家行政诚信建设中的政府信赖保护制度及其借鉴

伴随着中国经济社会的全面进步,民众对政府的信誉度和公信力提出了更高的要求。但是,由于诸多因素的影响,我国政府的行政诚信建设始终未能取得突破性进展。因此,借鉴西方国家行政诚信建设中所创立的颇具特色的政府信赖保护制度,了解其内涵与功能,明晰其适用情境、条件与方式,并在立足中国现实国情的基础上对政府信赖保护制度加以批判地吸收,对我国政府的行政诚信建设不无裨益。     

广域网环境下构建全集成互动式学习平台

随着信息技术的不断发展,学习模式也应当是多方位的才能满足人才培养发展的需要。文章以CINOWO中文语言学习平台为例,分析如何建设一个广域网环境下的全集成互动式学习平台,既可以实现师生间多方位的教与学,也能达到更广泛程度的全民教育。     

浅析普惠意义的农村养老保险新政

2009年9月4日,国务院办公厅发布《国务院关于开展新型农村社会养老保险试点的指导意见》,在全国10%的县（市、区、旗）进行新农保试点。文章拟在回顾过去20多年的农保制度的同时,分析新农保制度的创新点,并提出对新农保试点及推行的几点思考。     

南昌市旅游空间结构分析

旅游空间结构反映旅游系统诸要素之间的空间组织关系,它体现了旅游活动的空间特征,也是旅游活动在地理空间上的投影。采用空间结构分析方法对南昌市旅游节点、旅游通道、旅游区和旅游客源地等4个主要要素进行分析,认为南昌市旅游空间结构正在向链状空间结构演变,南昌市旅游空间结构应该构建＂一核、四区、一带＂的结构模式。     

维权话语与抗争逻辑——中国农村群体性抗争事件研究的回顾与思考

从理论发展的角度来看,中国农村群体性抗争事件的研究围绕着农民维权话语的建构和农民群体性抗争模式总结两条主线展开。转型时期农民平等权的缺失成为维权话语建构的社会基础。在农民维权的大背景下,学术界对农民的群体性抗争行为进行了总结,提出“日常抵抗”、“依法抗争”、“以法抗争”、“草根动员”和“依势博弈”等五种抗争模式。本文在回顾五种抗争模式的基础上对各种模式存在的问题做了分析和说明。并就农村群体性抗争事件研究中存在的问题进行了思考。     

文学作品在旅游开发中的作用

文学作品在旅游开发中起着很好的宣传作用,许多景区正是依靠文学作品而名扬四海,吸引了各方游客前来参观。文学作品在旅游景区规划设计中也发挥着作用。重建古建筑时可以借鉴相关文学作品,模拟文学作品的景观也可以成为旅游开发的一大热点。优秀的文学作品影响深远,对旅游产品有着很好的定位作用,有助于提高其文化内涵。如何有效地利用文学作品,是景区开发的一项重大任务。     

Nonparametric covariate adjustment for receiver operating characteristic curves

The accuracy of a diagnostic test is typically characterized using the receiver operating characteristic (ROC) curve. Summarizing indexes such as the area under the ROC curve (AUC) are used to compare different tests as well as to measure the difference between two populations. Often additional information is available on some of the covariates which are known to influence the accuracy of such measures. The authors propose nonparametric methods for covariate adjustment of the AUC. Models with normal errors and possibly non‐normal errors are discussed and analyzed separately. Nonparametric regression is used for estimating mean and variance functions in both scenarios. In the model that relaxes the assumption of normality, the authors propose a covariate‐adjusted Mann–Whitney estimator for AUC estimation which effectively uses available data to construct working samples at any covariate value of interest and is computationally efficient for implementation. This provides a generalization of the Mann–Whitney approach for comparing two populations by taking covariate effects into account. The authors derive asymptotic properties for the AUC estimators in both settings, including asymptotic normality, optimal strong uniform convergence rates and mean squared error (MSE) consistency. The MSE of the AUC estimators was also assessed in smaller samples by simulation. Data from an agricultural study were used to illustrate the methods of analysis. The Canadian Journal of Statistics 38:27–46; 2010 © 2009 Statistical Society of Canada     

Optimal Composite Markers for Time‐Dependent Receiver Operating Characteristic Curves with Censored Survival Data

Abstract. To increase the predictive abilities of several plasma biomarkers on the coronary artery disease (CAD)‐related vital statuses over time, our research interest mainly focuses on seeking combinations of these biomarkers with the highest time‐dependent receiver operating characteristic curves. An extended generalized linear model (EGLM) with time‐varying coefficients and an unknown bivariate link function is used to characterize the conditional distribution of time to CAD‐related death. Based on censored survival data, two non‐parametric procedures are proposed to estimate the optimal composite markers, linear predictors in the EGLM model. Estimation methods for the classification accuracies of the optimal composite markers are also proposed. In the article we establish theoretical results of the estimators and examine the corresponding finite‐sample properties through a series of simulations with different sample sizes, censoring rates and censoring mechanisms. Our optimization procedures and estimators are further shown to be useful through an application to a prospective cohort study of patients undergoing angiography.