远程教育教学创新成果的发掘与表达

深入发掘和科学表达远程教育教学创新成果是成果推广与共享的重要前提.远程教育教学创新成果的发掘足一个从发现、归纳到提炼的归纳思维过程,远程教育教学创新成果的表达则是一个从成果命名、内容阐述到价值阐释的演绎思维过程.     

开放大学建设的哲学思考

开放大学的建设必须基于社会发展的学习化进程,需要突破传统思维;基于学习形态的变化找准现实依据;基于学有所教的目标确立价值取向;基于开放模式构建的要求把握战略重点;基于实践成果的总结选择现实起点;基于探索性特征进行大胆试验。     

经济社会转型期加强和创新社会管理的理论初探

加强和创新社会管理是转型期应对我国社会问题、实现经济社会健康稳定发展的必然选择,是继续抓住和用好我国发展重要战略机遇期、推进党和国家事业发展的基本要求,是实现科学发展和促进社会和谐的根本主张,是转型期中国社会主义社会建设的鲜明特色。它是一个系统工程,是一项持续性、基础性工作,促进社会公正、协调社会关系、消除社会风险是加强和创新社会管理的现实目标。加强和创新社会管理,通过尊重和保障平等的权利、创造和设置均等的机会、制定和构建公正的制度,创建了一套公正的体制、机制和程序,为实现社会和谐稳定的发展奠定基础。     

聚苯胺的电化学合成及性能测试

在硫酸介质中以苯胺为单体,用恒电压电化学方法合成了聚苯胺（PANI）,并对其进行了形貌、红外光谱、紫外-可见光谱、电导率和气敏性能的测定.结果表明：合成的样品为一维纳米线结构,表现出了聚苯胺的光谱特性,电导率为0.53 S/cm,对室内甲醛、苯、甲苯和氨气等表现出了较好的气敏性能,合成方法对电化学方法合成聚苯胺的工业化具有借鉴作用.     

优势视角的学校社会工作辅导策略探析

优势视角理论是20世纪八九十年代兴起于西方社会工作领域的一个新的实践取向。文章介绍了优势视角理论的基本观点:建构主义的哲学基础、多元取向的分析原则、弹性灵活的操作步骤和平等合作的辅导关系。在此基础上,文章结合两年来在中学开展的现场研究,提出了优势视角的学校社会工作辅导策略:此时此地、外化提问、积极回应、寻求代替、亲身体验和回归日常,并对此进行了反思与讨论。     

高职精品课程建设中教学内容确定的若干关注

精品课程建设是高职院校教学基本建设的主要内容,是新的人才培养模式创新的基础。高职精品课程建设必须关注三个问题,并从教育的科学发展、内容的针对性和普适性、显性知识与隐性知识三个方面给予解决。     

教师参加体育锻炼的现状与健康状况

运用问卷调查法,对我校中青年教师的身体健康状况及其从事体育锻炼的现状进行调查和分析。结果表明：教师的健康状况不佳,且随着年龄的增长有下降的趋势;教师参加体育锻炼有性别差异并且锻炼时间和次数明显不足,而工作忙无时间是影响教师参加与锻炼的主要因素。     

框架结构在季节温差及混凝土收缩作用下的内力分析

以有限元方法为理论基础,借助于大型通用有限元软件ANSYS,利用Beam4单元及Shell63单元建立符合实际情况的框架模型,施加季节温差,并将混凝土收缩折算成温差作用,分析框架结构变形、梁柱内力、板中的应力大小和分布的变化规律,并提出混凝土框架结构设计建议。     

幼儿教师人际信任与知识分享意愿的关系——兼论知识分享动机的调节作用

本研究选取215名一线幼儿教师作为调查对象,使用逐步多元回归分析探讨了幼儿教师人际信任与知识分享意愿的关系,以及知识分享动机如何在两者之间起调节作用.结果发现,幼儿教师的情感信任对知识分享意愿具有显著的正向作用;幼儿教师的利他主义、互利主义和声誉追求动机均对知识分享意愿具有显著的正向作用.为促进幼儿园学习共同体的形成,应改变幼儿教师知识分享的观念,引导其掌握知识分享的方法;重视幼儿教师之间情感信任的建立,增强知识分享的安全感;关注幼儿教师思想动态,制定有效的知识分享激励机制;对幼儿教师实行差异化管理,加强幼儿园知识分享氛围的创设.     

FARMER: A novel approach to file access correlation mining and evaluation reference model

File semantic has proven effective in optimizing large scale distributed file system. As a consequence of the elaborate and rich I/O interfaces between upper layer applications and file systems, file system can provide useful and insightful information about semantic. Hence, file semantic mining has become an increasingly important practice in both engineering and research community. Unfortunately, it is a challenge to exploit file semantic knowledge because a variety of factors could affect this information exploration process. Even worse, the challenges are exacerbated due to the intricate interdependency between these factors, and make it difficult to fully exploit the potentially important correlation among various semantic knowledges. This article proposes a file access correlation miming and evaluation reference (FARMER) model, where file is treated as a multivariate vector space, and each item within the vector corresponds a separate factor of the given file. The selection of factor depends on the application, examples of factors are file path, creator and executing program. If one particular factor occurs in both files, its value is non-zero. It is clear that the extent of inter-file relationships can be measured based on the likeness of their factor values in the semantic vectors. Benefit from this model, FARMER represents files as structured vectors of identifiers, and basic vector operations can be leveraged to quantify file correlation between two file vectors. FARMER model leverages linear regression model to estimate the strength of the relationship between file correlation and a set of influencing factors so that the “bad knowledge” can be filtered out. To demonstrate the ability of new FARMER model, FARMER is incorporated into a real large-scale object-based storage system as a case study to dynamically infer file correlations. In addition FARMER-enabled optimize service for metadata prefetching algorithm and object data layout algorithm is implemented. Experimental results show that is FARMER-enabled prefetching algorithm is shown to reduce the metadata operations latency by approximately 30%–40% when compared to a state-of-the-art metadata prefetching algorithm and a commonly used replacement policy.