具有Hardy项和Hardy-Sobolev临界指数的半线性椭圆方程正解的存在性及估计

本文用Ekeland变分原理证明了一类具Hardy项和Hardy-Sobolev临界指数的半线性椭圆方程正解的存在性,并用最大值原理对正解进行估计.     

The Bookmark Standard-Setting Method: A Literature Review

The Bookmark method for setting standards on educational tests is currently one of the most popular standard-setting methods. However, research to support the method is scarce. In this report, we review the published and unpublished literature on this method as well as some seminal work in the area of evaluating standard-setting studies. Our review highlights both strengths and limitations of the method. Strengths include its wide acceptance and panelist confidence in the method. Limitations include a potential bias to produce lower-than-intended standards and problems in selecting the most appropriate response probability value for ordering the items presented to panelists. It is clear that more research on this method is needed to support its wide use. Several areas for future research to better understand the validity of the Bookmark method for setting standards on educational tests are presented.     

民主问题简论

民主的原则是承认多数人的权利并按多数人的意志管理国家和社会事务,民主的目标是追求社会公正和实现社会整体利益的最大化。在现代社会,由于各种因素的制约,民主的政治实践正遭遇着诸多“尴尬”。民主目标实现的前提只能是公有制,虽然社会主义国家在民主建设过程中存在许多问题,但只要是按社会主义本质运行,按党的宗旨要求云做,我们一定会无限地接近民主的真正目标。     

半极大条件环的探讨

主要讨论对左(右)理想满足半极大条件的环与对零因子满足极大条件的环的性质。     

铁水含硅量预报中的模糊控制方法

对铁水含硅量及对应的响应量进行分级,利用模糊控制理论将语言控制规则表示为模糊关系,经过计算得出精确化的模糊控制表,适用于中、小型钢厂,可节省一定的人力、物力.     

图的点割集及连通度的矩阵判断

给出一种利用图的邻接矩阵判断图的点割集及连通度的矩阵方法。     

基于行处理的SAGE算法在PET图像重建中的应用

运用基于行处理(RA)的"单块"投影子集法改进了空间交替广义期望最大(SAGE)算法的收敛性. 新的RA-SAGE算法以正交单投影序列的方式对投影数据进行处理, 以减少投影间的相关性, 达到加速收敛的效果. 此外, 在迭代搜索同时, 新算法结合了超松弛变量, 使其能快速接近全局最大似然解. 实验中, 运用RA-SAGE与SAGE对正电子发射断层(PET)进行了重建. 结果表明,RA-SAGE收敛性能比SAGE优越, 且重建图像质量较高.     

CM模式的项目管理研究

CM模式是20世纪80年代开始在国际上出现的一种新的项目管理模式。对CM模式和传统的管理模式进行了比较；研究了CM模式的特点，提出了工程项目中应用CM模式的关键问题和解决方法。     

从听课评估向教师自我反思模式的转化

以听课评估教师的传统作法已逐显其弊端，本文提出应以“自我反思实践”为指导，促使教师贯彻学生参与，活动方式和信息输出三项最大化原则，从而达到提高教学质量，完善教师评估体系的目的。     

Examining Normality in Incomplete Data Sets: A Note on a Multiple Testing Approach

A multiple testing procedure for examining the assumption of normality that is often made in analyses of incomplete data sets is outlined. The method is concerned with testing normality within each missingness pattern and arriving at an overall statement about normality using the available data. The approach is readily applied in empirical research with missing data using the popular software Mplus, Stata, and R. The procedure can be used to ascertain a main assumption underlying frequent applications of maximum likelihood in incomplete data modeling with continuous outcomes. The discussed approach is illustrated with numerical examples.