Do organizational variables influence satisfaction with nursing student practices?

Clinical practices are a vital component in the education of registered nursing students. This study analyzed the influence of organizational variables on satisfaction with clinical practices. A cross-sectional study design involved 572 registered nursing students. Two statistical methodologies, hierarchical regression models and qualitative comparative analysis of diffuse sets, were used for data analysis. In the hierarchical regression models the number of students supervised predicted satisfaction with clinical educator (β = -.22; p ≤ .001), environment (β = -.13; p ≤ .05) and overall satisfaction (β = -.15; p ≤ .05). However, in the qualitative comparative analysis, the type of center, as well as the number of services assigned to the clinical educator and the number of students per clinical educator period were conditions that influence satisfaction with clinical practices. The type of center and the clinical educator are key factors related to registered nursing students’ satisfaction with clinical practices.     

钢筋混凝土具有不连续强度的试验研究

钢筋混凝土具有不连续强度,建议用不连续强度而不是用极限载荷来作为钢筋混凝土的破坏准则;另外,不连续强度可以和混凝土疲劳极限强度建立一定的确定关系,并可以从混凝土的疲劳中找出不连续强度的客观定义.     

拒斥还是继续比较对话

面对"语境回归"对"比较对话"批评,指出拒斥"比较对话"的合法性是不现实的,分析了"比较对话"的必要性和可能性,并重申了"比较对话"的合法性。     

Applying regression models to query-focused multi-document summarization

Most existing research on applying machine learning techniques to document summarization explores either classification models or learning-to-rank models. This paper presents our recent study on how to apply a different kind of learning models, namely regression models, to query-focused multi-document summarization. We choose to use Support Vector Regression (SVR) to estimate the importance of a sentence in a document set to be summarized through a set of pre-defined features. In order to learn the regression models, we propose several methods to construct the “pseudo” training data by assigning each sentence with a “nearly true” importance score calculated with the human summaries that have been provided for the corresponding document set. A series of evaluations on the DUC data sets are conducted to examine the efficiency and the robustness of the proposed approaches. When compared with classification models and ranking models, regression models are consistently preferable.     

绵阳地区中山柏月生长量与自然条件关系的统计分析研究

利用相关分析与回归分析，对四川绵阳地区三年生中山柏月生长量与月均气温、月降雨量、月均日照时数、月均温度之间的关系进行初步的统计分析，并得到了相应的回归方程，从而揭示了影响中山柏生长量的最主要的相关因素．     

基于因子分析法构建世界优秀女子沙滩排球运动员运动成绩回归模型

目的：探讨世界女子沙滩排球运动员基本情况、运动技术与综合实力（因子得分）之间的关系;构建综合实力（因子得分）与运动成绩间最优模型。方法：以2012年伦敦奥运会女子沙滩排球项目所有参赛的24对（共计48名）运动员为研究对象,采用因子分析法探讨运动员基本情况、运动技术与综合实力（因子得分）之间的关系,采用回归法构建综合实力（因子得分）与运动成绩间最优模型。结果：（1）基本技术因子、主动得分因子、基本条件因子和体型因子分别占世界女子沙滩排球运动员基本情况、运动技术构成比例的49.9%,13.8%,12.7%和11.3%。（2）对三个回归模型和模型偏回归系数进行检验,发现因子得分3和因子得分4不能被引入模型。结论：（1）世界女子沙滩排球运动员基本情况、运动技术构成主要体现在基本技术因子和主动得分因子。（2）综合实力（因子得分）与运动成绩间的最优回归模型应以因子得分1和因子得分2为自变量,奥运名次为因变量来构建的多元线性回归方程。