高校体育教师自主学习的动力机制

学习是教师专业发展的重要途径,是保证教学质量提升的关键.通过文献资料法、问卷调查等方法对高校体育教师的学习动机进行调查发现:体育教师的专业发展既受社会、学校、学生的影响,也受自我发展意愿的影响.从学校、教师、学生等需求出发,构建体育教师自主学习的长效保障机制,促使体育教师学习成为一种自主行为是十分必要的.     

云南省直过民族区受教育程度的统计分析

本文运用观察法、访谈法、问卷法,对云南省怒江区泸水县直过民族这个特殊群体的受教育现状及学习动机进行了深入调查和研究.结果表明,语言障碍、自然条件恶劣、基础建设不完备,是直过民族经济文化发展滞后的主要原因.最后提出实施＂双轨制＂办学法,以激发人们的求学动力,从而培养适合该地区的人才。     

不等边跨连续梁桥受力分析

文章以山西平定至阳曲高速公路上目前在建的招山河大桥(33+48+38m一联)连续梁桥设计为例,采用平面杆系的计算方法,从桥梁施工流程划分结构计算阶段,对结构构件进行承载能力、抗裂、挠度和应力验算.     

网络成瘾与大学生年级的关系研究

大学生网络成瘾与年级之间存在着显著的相关关系,随着年级的增高,网络成瘾水平逐渐下降,大一网络成瘾水平要显著高于其他年级,而大三和大四的网络成瘾水平最低。Logistic回归模型表明,年级是网络成瘾水平的良好预测指标。     

Calculation of Turbulent Flow with Pseudo-spectral Method

This paper deals with the numerical simulation of incompressible turbulent boundary flow of a flat plate with the pseudo-spectral matrix method. In order to appear more than 10 nodes in the turbulent base-stratum and transition of 43×43 computational grids,a coordinate transformation is put up from physical panel to computational panel. Several zero turbulent models are computed comparatively. The results are credible when comparing with the previous methods.     

Latent Co-interests' Relationship Prediction

With the development of the social media and Internet, discovering latent information from massive information is becoming particularly relevant to improving user experience. Research efforts based on preferences and relationships between users have attracted more and more attention. Predictive problems, such as inferring friend relationship and co-author relationship between users have been explored. However, many such methods are based on analyzing either node features or the network structures separately, few have tried to tackle both of them at the same time. In this paper, in order to discover latent co-interests’ relationship, we not only consider users’ attributes but network information as well. In addition, we propose an Interest-based Factor Graph Model (I-FGM) to incorporate these factors. Experiments on two data sets (bookmarking and music network) demonstrate that this predictive method can achieve better results than the other three methods (ANN, NB, and SVM).     

位于强震区的农村中小学教学楼砌体结构抗震设计分析

针对大开间少墙砌体结构的受力特点，结合教学楼震害，分析了构造柱、圈梁对砌体结构抗震性能的影响，并对提高结构延性的设计理念进行了阐述；同时对大开间少墙单面走廊砌体结构的设计提出了几点建议。     

疑源类的早期辐射及其意义

通过对元古宙至寒武纪早期疑源类的分析研究表明：新元古代早期和晚期疑源类的辐射分别与全球范围内超级大陆（rodinia)形成及海洋中锶同位素^87Sr/^86Sr值显著上升，陆源物质增加，δ^13C值由负值转为正值的时期相吻合；早寒武世疑源类的辐射与超级大陆（pannotia)的形成、裂解对全球环境的影响有关。认为疑源类在早寒武世的适应辐射，改变了全球生物的营养结构，“中型浮游动物”对小个体棘刺疑源类的有效利用，可能是引发“寒武爆发”的原因之一。     

任务型教学法在英语专业精读教学中的应用实证研究

近些年来,任务型教学法已广泛地被应用于教学中,该教学法以交际任务为核心,强调“做中学”,通过让学生参加和完成语言学习任务,使学生自然地习得语言.笔者所在的高校于2011年9月份开展了任务型教学法在英语专业精读教学中的应用实证研究,以探讨任务型教学法能否有效地提高英语专业学生综合运用语言的能力.     

An Efficient Multidimensional Fusion Algorithm for IoT Data Based on Partitioning

The Internet of Things (IoT) implies a worldwide network of interconnected objects uniquely addressable, via standard communication protocols. The prevalence of IoT is bound to generate large amounts of multisource, heterogeneous, dynamic, and sparse data. However, IoT offers inconsequential practical benefits without the ability to integrate, fuse, and glean useful information from such massive amounts of data. Accordingly, preparing us for the imminent invasion of things, a tool called data fusion can be used to manipulate and manage such data in order to improve process efficiency and provide advanced intelligence. In order to determine an acceptable quality of intelligence, diverse and voluminous data have to be combined and fused. Therefore, it is imperative to improve the computational efficiency for fusing and mining multidimensional data. In this paper, we propose an efficient multidimensional fusion algorithm for IoT data based on partitioning. The basic concept involves the partitioning of dimensions (attributes), i.e., a big data set with higher dimensions can be transformed into certain number of relatively smaller data subsets that can be easily processed. Then, based on the partitioning of dimensions, the discernible matrixes of all data subsets in rough set theory are computed to obtain their core attribute sets. Furthermore, a global core attribute set can be determined. Finally, the attribute reduction and rule extraction methods are used to obtain the fusion results. By means of proving a few theorems and simulation, the correctness and effectiveness of this algorithm is illustrated.