树立社会主义荣辱观扎实推进内地新疆高中班工作

胡锦涛总书记在参加全国政协十届四次分组会时强调指出,要引导广大干部群众特别是青少年树立社会主义荣辱观,坚持以热爱祖国为荣、以危害祖国为耻,以服务人民为荣、以背离人民为耻,以崇尚科学为荣、以愚昧无知为耻,以辛勤劳动为荣、以好逸恶劳为耻,以团结互助为荣、以损人利己为耻,以诚实守信为荣、以见利忘义为耻,以遵纪守法为荣、以违法乱纪为耻,以艰苦奋斗为荣、以骄奢淫逸为耻。胡锦涛总书记提出的“八荣八耻”重要论述,对扎实推进内地新疆高中班(简称“内高班)教育工作具有十分重要的现实指导意义。社会主义荣辱观的提出,在内高班的教…     

概率事件的一点看法

我们大家都知道,一个事件为必然事件,其概率必为1。一个事件为不可能事件,其概率必为0。反之,概率为1的事件是否为必然事件,概率为0的事件是否为不可能事     

例谈中考物理填空题解法

在全国各省市近几年的中考物理试题中,填空题都占有一定的比例,如2011年各地中考试卷中填空题的比率,上海为26％,天津为28％,安徽为26％,陕西为19％,长沙为22％,南京为28％,成都为32％,黄岗为22％,湖北为20％,连云港为25％,盐城为24％,苏州为25％,徐州为25％．这些仅是对试卷中以“填空题”类型呈现的分值统计比率,还未算上试卷后面的综合类题目中涉及的填空题．     

论“为”字被动式的起源

“为”字被动式产生于战国晚期,表被动的介词“为”由“成为”义的动词“为”语法化而来。在述宾结构“为NN”“为N”结构中,N为名动兼类词,上古汉语名动兼类词的分化使“为NN”“为N”中的N演变为动词,促使“为”由动词语法化为表被动的介词,“为NN”“为N”则由述宾结构演变为“为NV”“为V”被动式。     

学校要切实加强社会主义荣辱观教育

3月4日,胡锦涛总书记发表了关于树立社会主义荣辱观的重要讲话,指出要引导广大干部群众特别是青少年树立社会主义荣辱观,坚持以热爱祖国为荣、以危害祖国为耻,以服务人民为荣、以背离人民为耻,以崇尚科学为荣、以愚昧无知为耻,以辛勤劳动为荣、以好逸恶劳为耻,以团结互助为荣、以损人利己为耻,以诚实守信为荣、以见利忘义为耻,以遵纪守法为荣、以违法乱纪为耻,以艰苦奋斗为荣、以骄奢淫逸为耻。胡锦涛总书记的重要讲话,概括精辟,内涵深邃,具有很强的民族性、时代性和实践性,体现了中华民族传统美德与时代精神的有机结合,体现了社会主义基本…     

实施＂五育一导＂教育工程，全面提高大学生思想政治教育水平

近年来,济源职业技术学院牢固树立“以育人为宗旨,以教育为先导,以管理为重点,以学习为中心,以‘三个校园’创建为主线,以活动为载体,以服务为保证,以学生健康成长、全面发展为目标”的思路和理念,不断探索大学生思想政治教育工作的新途径、     

高职大学生如何践行“八荣八耻”

胡锦涛总书记提出的坚持以热爱祖国为荣、以危害祖国为耻,以服务人民为荣、以背离人民为耻,以崇尚科学为荣、以愚昧无知为耻,以辛勤劳动为荣、以好逸恶劳为耻,以团结互助为荣、以损人利己为耻,以诚实守信为荣、以见利忘义为耻,以遵纪守法为荣、以违法乱纪为耻,以艰苦奋斗为荣、以骄奢淫逸为耻的社会主义荣辱观,明确了当代社会最基本的价值取向和行为准则,集中体现了爱国主义、集体主义、社会主义思想,     

中职语文教改杜郎口模式初探

结合我院实际,语文课改积极践行杜郎口教学模式,以兴趣为契机,为打造本土化教改模式;以创新为驱动,为学生呈现多彩课堂：以激励为诱因,为学生增加自信的力量;以德育为先导,为学生栽下感恩的种籽。     

核心素养视域下小学生自我管理能力量表开发研究

编制小学生自我管理能力量表,对8268名学生进行小学生自我管理能力的核心素养进行调查,探索培养小学生自我管理能力的策略。结果发现,小学生自我管理能力三维度量表的生活管理、人际情绪管理、学习管理的信度分别为0.862、0.782以及0.835,组合信度分别为0.895、0.843以及0.868,平均方差提取率分别为0.553、0.473以及0.424。量表通过验证性因子分析发现数据1的χ2/dif为3.10,RMSEA为0.049,CFI为0.939,TLI为0.931,SRMR为0.041,数据2的χ2/dif为5.42,RMSEA为0.052,CFI为0.931,TLI为0.922,SRMR为0.040,量表的信、效度良好。通过小学生自我管理能力量表建立学生自我管理能力的常模,以便为区域和学校的小学教育指导提供理论依据。     

高校学术影响力文献信息研究

一国外研究的现状笔者以"Academic impact"(学术影响力)为检索词串在谷歌学术搜索上检索,限定时间为1991~1999年,搜索结果为66700条,限定时间为2000年~至今,搜索结果为321000条,限定时间为2005年至今,为397000条结果     

面向制造的板级电子电路产品多信息模型研究

Most electronics products use PCB to carry electronic circuits. This paper classifies information contained in PCB-based electronic circuits into several models: geometry model, physics model, performance model and function model. Based on this classification, a multi-information model of product is established. A composite model of product is also created based on object-orientation and characteristics of the product. The model includes a 3D geometry model, a physics model with integrated information that can be divided into microscopic and macroscopic information, a generalized performance model and a function model that are from top to bottom. Finally, a multi-unit analysis is briefly discussed.     

教学模式构建的伦理之维

教学模式构建引入伦理思考源于对教育属性和伦理规范的分析及对教学模式构建的伦理反思.为确保教学模式构建的合伦理性,需要秉持公平、效率、人道的伦理精神,彰显教学模式构建的关怀意蕴,生成教学模式构建的实践智慧,培育教学模式构建的伦理文化.     

论虚拟道德示范的现代可能及其实现

虚拟道德示范是道德示范的新方式。虚拟道德示范不是虚假道德的示范,也不是虚拟的道德示范。现代社会中,虚拟榜样的传播、虚拟空间的生成以及虚拟实践的发展促进了虚拟道德示范从可能走向现实。新时期,深入研究虚拟道德示范有助于增强道德示范教育的接受性与实效性。     

A Mixture Group Bifactor Model for Binary Responses

The presence of nuisance dimensionality is a potential threat to the accuracy of results for tests calibrated using a measurement model such as a factor analytic model or an item response theory model. This article describes a mixture group bifactor model to account for the nuisance dimensionality due to a testlet structure as well as the dimensionality due to differences in patterns of responses. The model can be used for testing whether or not an item functions differently across latent groups in addition to investigating the differential effect of local dependency among items within a testlet. An example is presented comparing test speededness results from a conventional factor mixture model, which ignores the testlet structure, with results from the mixture group bifactor model. Results suggested the 2 models treated the data somewhat differently. Analysis of the item response patterns indicated that the 2-class mixture bifactor model tended to categorize omissions as indicating speededness. With the mixture group bifactor model, more local dependency was present in the speeded than in the nonspeeded class. Evidence from a simulation study indicated the Bayesian estimation method used in this study for the mixture group bifactor model can successfully recover generated model parameters for 1- to 3-group models for tests containing testlets.     

Bayesian Model Averaging Over Directed Acyclic Graphs With Implications for the Predictive Performance of Structural Equation Models

This article examines Bayesian model averaging as a means of addressing predictive performance in Bayesian structural equation models. The current approach to addressing the problem of model uncertainty lies in the method of Bayesian model averaging. We expand the work of Madigan and his colleagues by considering a structural equation model as a special case of a directed acyclic graph. We then provide an algorithm that searches the model space for submodels and obtains a weighted average of the submodels using posterior model probabilities as weights. Our simulation study provides a frequentist evaluation of our Bayesian model averaging approach and indicates that when the true model is known, Bayesian model averaging does not yield necessarily better predictive performance compared to nonaveraged models. However, our case study using data from an international large-scale assessment reveals that the model-averaged submodels provide better posterior predictive performance compared to the initially specified model.     

ARMA预测模型及其在经济预测中的应用

以1978年至2008年的某省职工年平均工资作为样本数据、2009年至2010年的数据作为模型检验数据,建立了基于时间序列分析的ARMA模型,使用Eviews软件对时间序列进行分析,根据Box-Jenkins模型识别方法,得出模型的参数,进而得到模型,误差分析表明模型的预测结果非常理想。     

Testing the MUSIC Model of Academic Motivation through confirmatory factor analysis

The purpose of this study was to provide empirical evidence to confirm the theoretical factor structure of the MUSIC Model of Academic Motivation that was developed to help instructors understand how current motivation research can be applied to instruction. We hypothesised the MUSIC model as a hierarchical five-factor correlated model and compared its fit to alternative models. Our research question was: Is a hierarchical five-factor correlated model a valid representation of the MUSIC model? The study included 1228 undergraduate students from three different types of university courses. We measured the constructs associated with the main components of the MUSIC model: empowerment, usefulness, success, interest and caring. Results of the confirmatory factor analyses provided strong evidence that the hierarchical five-factor correlated model was a valid representation of the MUSIC model. Thus, the MUSIC model consists of components that are theoretically and empirically correlated, yet distinct.     

市场价格预测模型体系研究

目前对市场价格的预测主要是依靠单一的模型,预测结果的准确性直接受到模型的局限。章通过对一套市场价格预测模型体系的介绍,综合运用时问序列模型、多元非线性回归和组合模型来预测市场价格走势,探索从多角度综合预测市场价格的问题。并将该模型体系在某钢铁企业中进行实际运用验证。     

一种加快的CV模型分割方法研究

CV模型是一种有效的活动轮廓分割模型,其缺点是分割速度慢.用OTSU法预处理后的区域边界作为CV模型的初始轮廓线,大大提高了分割速度,且该方法能克服传统CV法难以分割壁较厚的内部空洞的不足.在CV模型的能量函数中引入惩罚项,使得CV模型在演化过程中无需重新初始化,进一步提高了分割速度.实验表明改进后的CV模型与传统CV模型相比分割速度有了较大提高,且分割效果更好.     

构建社会主义认知新模式研究

社会主义既有实践模式,也有认知模式。认知模式不同于实践模式。认知模式包括基本理念、思维方法、叙述框架和分析范畴,等等。中国传统的社会主义认知模式来源于斯大林的理论,存在一定的片面性。改革开放的新时期,中国特色社会主义实践的新格局,提出了从理论上重新认识社会主义的时代要求,构建社会主义认知模式具有重要的现实意义。