许谦名物训释的另一种视角

名物训释是《诗经》学值得关注的一个问题。元代许谦《诗集传名物钞》以陆玑《毛诗草木鸟兽虫鱼疏》、蔡卞《毛诗名物解》等名物训释为基础。用朱熹《诗集传》作蓝本,关注《诗经》经传义理的阐发,将名物训释和诗义相结合,展示了名物训释的另一种视角。     

关于发展高校公益社团的调研报告——以德州学院为例

高校公益社团是大学生服务社会、奉献爱心的载体。参与社会公益活动对提高大学生的社会责任感和使命感具有重要意义。为全面发展高校公益社团,以德州学院公益社团的组织现状、大学生参与情况以及公益服务活动为例,着重对高校公益社团的发展现状、存在问题进行研究,并在此基础上提出推进高校公益社团发展的具体措施。     

高职院校《管理会计》课程实训教学浅析

高职教育培养掌握本专业必备的基础理论和专门知识,具有从事本专业实际工作的全面素质和综合职业能力,在生产、建设、管理、服务第一线工作的高级技术应用型人才。因此,高职教育中各门学科的教学体系应充分围绕此种目标。本文以管理会计课程实训教学为例,从高职院校实训教学意义、管理会计学科特点、实训教学瓶颈分析及最后对管理会计实训教学运用提出建议等四方面对高职院校管理会计实训教学进行了阐述。     

电力变压器绕组变形的测试

通过试验手段对受冲击后的变压器内部线圈绕组受损情况进行检测,对于正确引导变压器的检修,有效地减少设备停电时间具有极其重要的现实意义。同时,对于变压器的检测提供可行的变压器测试方法,以及判断变压器是否适合重新投入运行、投入后是否存在事故隐患。     

新疆高等职业教育发展途径探索

近年来,新疆的高等职业教育发展迅速,但也存在着一些问题和不足。高等职业教育如何才能保持持续有效的发展,以适应新疆经济发展的人才需求,是需要我们认真加以研究的。重点从新疆产业的发展趋势、职业教育的市场动力机制＂、双师型＂教师队伍建设、专业建设、校企合作等方面进行研究,提供了一些思路。     

两种文化的互补和通识教育——关于科学文化和人文文化的若干思考

C．P．斯诺在关于“两种文化”的演讲中所批评的现象在今天并没有得到根本的改变。回顾20世纪人类社会两种主要的文化存在形式——科学文化和人文文化发展演变的轨迹,考察这两种文化在一些重大问题上出现不协调、甚至分离现象的各种复杂原因,说明这种现象的存在是人类自身认识和发展的一个误区,并导致人类在发展过程中付出了巨大的代价,而表现在教育上则为害尤烈：造成普遍的人文素质下滑、创新能力低下。从两种文化的相互冲突走向相互理解、相互参照,进而互补式地融合,尤其是在教育中强化和推行通识教育,是未来人类社会文化发展的总趋势,也是实践科学发展观的思想基础。     

加拿大大不列颠哥伦比亚省高中信息与交流技术课程标准评述

课程标准的修订最直接地反映了一个国家课程改革的方向.对一个国家课程标准的解读有助于我们准确把握该国课程改革的最新动向,从中汲取有益的经验.加拿大大不列颠哥伦比亚省新颁布的高中信息与交流技术课程标准提供的开放的课程建设理念,翔实的内容和丰富的教学资源、具体的教学目标和便于操作的教学策略以及评价策略为学校教学提供了有力的支持,值得借鉴.     

论明清文人笔下的柳敬亭

作为明末清初的民间说书艺人,柳敬亭以其酣畅淋漓、出神入化的表演技艺,取得了卓越成就,在中国俗文学史上享有突出地位。他亲历时代变迁,见证重大事件,富于情义品节,通过个人命运的起落跌宕,痛感身世之戚、家国之悲。诸多文士题赠诗文,又形成了一个颇为值得关注的文学现象,从他者的视阈,将柳敬亭视为文学表现对象,视为抒写广大文士复杂意绪的符号化人物。他们或赏其艺,或抒悲慨,或从道德层面加以鄙夷,或从权力意图予以利用,折射出清初遗民、学者、仕宦等不同角色人等的政治诉求、道德观念,更加彰显出柳敬亭的丰富文学意义。     

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.     

Searching high gray scale FPD scanning matrix based on PSO

With the increase of gray scale and flat panel display (FPD) size, subspace bitwise scanning strategy can be replaced traditional scanning method to cut down frame frequency. However, the direct searching strategy (DSS) becomes unfeasible to obtain corresponding high gray scale scanning matrix. Thus, particle swarm optimization (PSO) is introduced to accelerate searching for high gray scale weights scanning matrix (WSM) with its parallelism and global optimization feature. Finally a WSM of 256 gray scales is found out successfully with Matlab, which both gray linearity and scanning efficiency are satisfied.