Errors in Seligman's "The effectiveness of psychotherapy: The Consumer Reports study."

Contends that there are 3 methodological errors and an inconsistency in M. E. P. Seligman's (see record 1996-13324-001) reanalysis of the 1995 Consumer Reports survey of the effectiveness of psychotherapy. These errors are directly relevant to the cost-effectiveness of psychotherapy. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Access课程网络题库的构建

本文以Access课程为例,探讨如何构建网络题库,研究Access课程网络题库的构建方法。实际应用效果表明,所构建的题库难度系数合理,考试结果的信度和效度较高,能够全面、客观、公正地评价学生的学习情况。     

格值模态命题逻辑及其完备性

文中以满足第一及第二无限分配律的完备格为工具,建立了格值模态命题逻辑的语义理论,并指出这种语义是经典模态命题逻辑语义理论及[0,1]值模态命题逻辑语义理论的共同推广.给出了QMR0代数的定义,并分别以Boole代数及QMR0代数为背景构建了Boole型格值模态命题逻辑系统B及QMR0型格值模态命题逻辑系统QML*,并证明了系统B及系统QML*的完备性.     

A symmetry based multiobjective clustering technique for automatic evolution of clusters

In this paper the problem of automatic clustering a data set is posed as solving a multiobjective optimization (MOO) problem, optimizing a set of cluster validity indices simultaneously. The proposed multiobjective clustering technique utilizes a recently developed simulated annealing based multiobjective optimization method as the underlying optimization strategy. Here variable number of cluster centers is encoded in the string. The number of clusters present in different strings varies over a range. The points are assigned to different clusters based on the newly developed point symmetry based distance rather than the existing Euclidean distance. Two cluster validity indices, one based on the Euclidean distance, XB-index, and another recently developed point symmetry distance based cluster validity index, Sym-index, are optimized simultaneously in order to determine the appropriate number of clusters present in a data set. Thus the proposed clustering technique is able to detect both the proper number of clusters and the appropriate partitioning from data sets either having hyperspherical clusters or having point symmetric clusters. A new semi-supervised method is also proposed in the present paper to select a single solution from the final Pareto optimal front of the proposed multiobjective clustering technique. The efficacy of the proposed algorithm is shown for seven artificial data sets and six real-life data sets of varying complexities. Results are also compared with those obtained by another multiobjective clustering technique, MOCK, two single objective genetic algorithm based automatic clustering techniques, VGAPS clustering and GCUK clustering.     

灵活运用Excel分析学生成绩

考试结束后,通过对学生考试成绩的分析,教师可以对该课程的教学工作进行系统的总结,更好的安排下一阶段的教学工作。该文根据个人经验,介绍了如何灵活运用Excel分析学生成绩的方法与技巧,从而使教学工作变得更加简单、高效。     

基于K-最近邻算法的管道系统传感器数据有效性分析研究

在管道运输中传感器的正常使用至关重要,为了防止因传感器故障而导致的数据采集失效,造成误报警和漏报警,对传感器本身的故障诊断和失效分析已经成为当前研究的重要方向.通过对各传感器采集数据进行组合分析,以各传感器之间的数据关联特性作为研究内容,运用K-最近邻算法对管道上传感器所采集数据进行相似性拟合,提出采用C4.5算法定义各传感器所采集数据对目标传感器的支持度以决定目标传感器数据的有效性,对故障传感器运行状态进行分析与定位,进而判断传感器的数据可靠性和输差出现位置.实验结合西南某管道流量传感器数据进行分析,结果表明,该算法能够准确判断目标传感器数据的有效性和故障传感器在时域中发生的位置.     

一种基于PSO&PAM的聚类算法

PAM是最早提出的k-medoids算法之一,该算法比较健壮,比k-means算法鲁棒性更强,但是PAM对初始值敏感,易陷入局部收敛。利用PSO算法对PAM进行优化,提出一种基于PSO和PAM的聚类方法,充分利用PAM和PSO两者对于不同问题的优势,来不断地更新PAM的聚类中心。通过建立基于熵的聚类有效性函数,对混合聚类算法的性能进行客观评价。从来自UCI的数据的测试结果表明,这种混合聚类的方法有较高的聚类正确率。     

药物信息服务实践应用的信度与效度分析

为建立科学的药物信息服务评价体系,我们采用问卷调查法对新疆医科大学第四附属医院药房及患者信息进行系统性调查,利用Excel和SPSSStatistics进行数据整理分析,采用Cronbach＇sAlpha系数、因子分析等方法对问卷做了信度和效度评价分析,初步提出了医院药物信息服务的要素．结果,本次研究的过程和方法为他人在药物信息乃至其它信息分析中提供重要的参考依据．     

一种基于近邻传播算法的最佳聚类数确定方法

在聚类分析中,决定聚类质量的关键是确定最佳聚类数,对此,从样本几何结构的角度定义了样本聚类距离和样本聚类离差距离,设计了一种新的聚类有效性指标．在此基础上,提出一种基于近邻传播算法确定样本最佳聚类数的方法．理论研究和实验结果表明,所提出的指标和方法能够有效地对聚类结果进行评估,适合于确定样本的最佳聚类数．