计算机绘图实践在工程制图学改革中的地位

工程制图课程的内容体系现状和教学改革的目标,以及在计算机绘图实践教学中体现创新能力和综合素质培养是当前工程制图教学改革中亟待解决的问题。建立工程制图与计算机绘图应用持续结合的教学模式及用三维计算机绘图来激发学生的创新设计思想,是该课程进行教学改革的关键所在。     

近代腾冲商帮的经营管理思想

从清末开始,云南滇西出现了三个著名的商帮：腾冲帮、鹤庆帮、喜洲帮。其中已有部分论著专门研究大理鹤庆帮和喜洲帮,而对于保山腾冲商帮的研究相对较少,对其进行研究具有填补空白的意义。主要就其经营管理思想作一初步探讨。     

提高农村党员动态管理科学化水平

提高农村党员动态管理科学化水平,是党的建设科学化题中应有之义。农村基层党组织必须在"城乡一体信息采集管理"系统中科学界定农村基层党组织信息采集职能,在"城乡一体组织双重管理"格局下加强与流入地党组织的分工、协作与配合,在"城乡一体关怀激励管理"网络内把教育管理与关怀服务相结合,在"城乡一体网络互动管理"平台上不断提高信息管理技术水平,在"城乡一体组织建设"工作机制下开展"新生代农民工"的党员培养和发展工作。     

优化我国100m跑运动员途中跑步幅结构的实验研究

运用对比分析法,对我国优秀男子100m运动员步幅结构进行分析,结果表明：我国男子100m运动员途中跑的步幅结构不合理,支撑阶段的步幅小,腾空阶段步幅过大。主要原因在于：着地距离短,膝关节缓冲幅度小,以及摆动腿摆动的时机晚、摆动慢、摆动幅度小。在保持最大步频的基础上提高步幅,是选择步幅训练手段的重要前提。     

苏南地区大型体育赛事对城市发展影响的研究及思考

大型体育赛事的举办能给举办地区带来巨大的经济效益和社会效应,促进经济的增长,尤其能提高体育产业的质量,加快当地城市化进程,带动第三产业的发展,提供更多的就业机会等。通过文献资料法、实地考察法、专家访谈法等研究方法,以苏南地区（苏州、无锡、常州3市）大型体育赛事为研究对象,就苏南大型体育赛事对城市经济、社会发展产生的作用及影响苏南地区赛事举办的因素进行分析,并提出发展策略,为促进苏南地区体育赛事产业的进一步发展提供依据和参考。     

澜沧江流域彝族历史源流与族称探究

从历史发展的时间进程研究澜沧江流域这样一个大区域的彝族源流情况,认为澜沧江流域的彝族是一个由多种民族相互融合而形成的民族共同体。其支系、族称繁多,但归结起来有三大自称体系:即尼泼(巴)自称体系、倮(罗)泼(巴)自称体系、俚泼(巴)自称体系。此研究为澜沧江流域整个彝族文化研究奠定基础,有助于丰富彝族文化研究理论。     

汉语框架网络问答系统的问句分析设计与实现

利用框架语义学原理,构建出面向问句分析的语义框架——Q框架,在此基础上实现对问句的语义分析。从语义规则角度提出问句分析设计的思路：基于依存句法树确定不同类型问句的目标词,采取模式匹配方法实现基于Q框架的问句语义分析,通过映射完成对问句的框架语义标注,最终确定问句焦点和问句类型。     

Same Science for All? Interactive association of structure in learning activities and academic attainment background on college science performance in the USA

This US study investigates interactive associations between structure in inquiry‐type learning activities and academic attainment in high school science with introductory college science performance as the outcome. Past studies of this type have tended to use smaller samples and shorter‐range methods of assessing the influence of interactions. This study used a large‐scale nationally representative sampling of science students and investigated the existence of long‐range associations between high school and college. Replicated across three different disciplinary data‐sets (biology, chemistry, and physics) totaling over 8,000 surveys, the analysis discovered an interaction between structure and attainment associated with differences in long‐range student performance. The implications for these findings in terms of theory and practise are discussed in the conclusions.     

The precarious existence of the academic development unit

Abstract

With increasing numbers and types of students, more flexible courses and technological innovation, there is a growing need to understand the student experience in detail, and to gain a clear, unbiased account of the effects of course design and delivery on their learning. At the same time, academic staff are increasingly under pressure to be active researchers, to teach more students and to quality‐assure their practice. Within this context there is a growing need for educational and staff development which is both effective in supporting academic staff and promoting innovative course design and yet efficient in the use of scarce resources. In this difficult context a great deal is asked of a professional academic development service. How best can such a service be offered? What should the basic service consist of?

In this paper we advocate an approach to academic development which we have called Consultancy Style Action Research (CSAR). We introduce the rationale and background to the development of CSARand briefly describe one case example. We go on to discuss the contribution of this approach to developing the developers.     

An information retrieval model based on vector space method by supervised learning

This paper proposes a method to improve retrieval performance of the vector space model (VSM) in part by utilizing user-supplied information of those documents that are relevant to the query in question. In addition to the user's relevance feedback information, information such as original document similarities is incorporated into the retrieval model, which is built by using a sequence of linear transformations. High-dimensional and sparse vectors are then reduced by singular value decomposition (SVD) and transformed into a low-dimensional vector space, namely the space representing the latent semantic meanings of words. The method has been tested with two test collections, the Medline collection and the Cranfield collection. In order to train the model, multiple partitions are created for each collection. Improvement of average precision of the averages over all partitions, compared with the latent semantic indexing (LSI) model, are 20.57% (Medline) and 22.23% (Cranfield) for the two training data sets, and 0.47% (Medline) and 4.78% (Cranfield) for the test data, respectively. The proposed method provides an approach that makes it possible to preserve user-supplied relevance information for the long term in the system in order to use it later.