论邓小平理论社会化的前提及途径

个体人化的需要及当时中国社会现实的需要构成了邓小平理论社会化的前提；大众媒介、教育、邓小平理论宪法化及广泛的人际交往是邓小平理论社会化的重要途径。     

报纸新闻广告化的危害及对策分析

使用文献检索的方法，通过对报纸新闻广告化危害及原因的分析，得出对这一问题的解决对策，引起更多人对报纸新闻广告化这一问题的关注，以丰富目前我国报纸新闻广告化研究的内容。     

道德评价模式新论

关于道德评价的原则、机制和模式问题,人们一直以来存有较大的分歧。考察各种现存道德评价模式,吸取其合理因素、抛弃其不足之处并针对道德评价中存在的争执和困惑,重新分析道德评价中各要素的地位和作用,提出一种"动机、效果"综合考察加上"行为环境修正"和"评价主体修正"的道德评价模式,对道德行为进行定性与定量的评价。     

"以德治教"的理论与实践研究

"以德治教"是"以德治国"思想的具体化。实施"以德治教",必须从师德建设、学生道德建设和环境建设三个方面进行。     

从造词看词的色彩意义

造词法、造词材料和造词意图等造词因素在色彩意义的形成中具有相当重要的意义。造词法可以作用于多种色彩意义,但尤以形象色彩最为突出和集中,汉语词汇的生动形象性可以由此得到深层次的揭示。造词材料的选择同样对色彩意义产生影响,感情色彩表现得最为明显。形象色彩和感情色彩的形成机制是有差异的,前者偏重形态型,后者偏重意义型,但多数情况是造词的各项要素对多种色彩意义综合发挥作用。     

试论英语名词词义语法化

英语名词词义语法化是指具有实在意义的英语名词逐渐虚化为表语法意义或功能的名词或语素的过程。隐喻、转喻和主观化在英语名词词义语法化过程中起着重要的作用,也是其语法化的主要方式。另外,英语名词词义语法化的结果主要表现为产生新义、发生转义以及词义的扩大和缩小。     

《混凝土结构设计原理》课程教学探讨

混凝土结构设计原理是土木工程专业的重要专业基础核心课,该课程主要帮助学生学习结构构件的基本构造,培养学生对基本构件的设计计算能力。针对该课程的特点,从现存主要问题、教学内容统筹、教学侧重点、教学方法及考核方法等方面进行探讨,以期对课程的教学和考核提供有益借鉴。     

云制造环境下基于本体和模糊QoS的供应商匹配方法

云制造环境下的服务匹配具有资源数量大、语义信息不对称、QoS多样化和模糊化的特点,同时企业有自主选择匹配结果的需求。为此,提出基于本体和模糊QoS聚类的三阶段供应商匹配模型。首先构建本体模型和供应商服务描述模型,运用语义本体既消除了信息的不对称性,又增加了语义信息的完整性。此外,对QoS的多属性信息进行三角模糊化处理,结合模糊偏好和优化的模糊C均值聚类（FCM）算法按需聚类,提高了收敛速度和精度,得出基于匹配度排序的结果集合。实例验证结果表明：本文匹配方法较传统方法有更高的适应性和查准率。     

Modeling of paired zero-inflated continuous data without breaking down paired designs

Paired data have been widely collected in the efficiency studies of a new method against an established method in environmental, ecological and medical studies. For example, in comparative fishing studies, ability of catching target species (fish catch) or reducing the catch of non-target species (fish bycatch) is usually investigated through a paired design. These paired fish catches by weight are generally skewed and continuous, but with a significant portion of exact zeros (no catch). Such zero-inflated continuous data are traditionally handled by two-part models where the zero and positive components are handled separately; however, this separation generally destroys paired structure, and thus may result in substantial difficulty in characterizing the relative efficiency between two methods. To overcome this problem, we consider compound Poisson mixed model for paired data with which the zero and non-zero components are characterized in an integral way. In our approach, the clustering effects by pair are captured by incorporating relevant random effects. Our model is estimated using orthodox best linear unbiased predictor approach. Unlike two-part models, our approach unifies inferences of zero and positive components. Our method is illustrated with analyses of winter flounder bycatch data and ultrasound safety data.     

Bayesian Estimators for Small Area Models Shrinking Both Means and Variances

For small area estimation of area‐level data, the Fay–Herriot model is extensively used as a model‐based method. In the Fay–Herriot model, it is conventionally assumed that the sampling variances are known, whereas estimators of sampling variances are used in practice. Thus, the settings of knowing sampling variances are unrealistic, and several methods are proposed to overcome this problem. In this paper, we assume the situation where the direct estimators of the sampling variances are available as well as the sample means. Using this information, we propose a Bayesian yet objective method producing shrinkage estimation of both means and variances in the Fay–Herriot model. We consider the hierarchical structure for the sampling variances, and we set uniform prior on model parameters to keep objectivity of the proposed model. For validity of the posterior inference, we show under mild conditions that the posterior distribution is proper and has finite variances. We investigate the numerical performance through simulation and empirical studies.