唐代体育诗歌特点研究

唐代体育诗歌内容丰富多彩，形式多样，风格各异。诗人们采用现实主义和浪漫主义相结合的创作方法，为我们描绘了波澜壮阔的体育场面，生动传神的体育人物形象，表现了丰富多彩的唐代体育生活画面，体现了大唐民族高涨的体育热情，高超的体育技巧和激昂奋进的体育精神。     

青少年足球运动员注意范围类型特征研究

进行有关注意范围类型测试,初步探讨了足球运动特殊环境和特殊要求对青少年注意范围类型的影响,以及不同性别和不同年龄阶段注意范围类型发展状况。从注意范围广度、注意范围广阔有效性和注意范围狭窄有效性角度,提出了青少年足球运动员注意范围类型的显著发展阶段。     

国际图联关于“世界知识产权组织未来发展日内瓦宣言”的立场(2004年9月28日)

国际图联(IFLA)对《世界知识产权组织未来日内瓦宣言》表示认可和欢迎。国际图联迫切要求世界知识产权组织对于知识产权法的不平衡、信息垄断、技术保护措施、数字鸿沟加大,以及自由贸易协定等问题予以陈述和表态,并力劝其针对世界范围的知识产权问题,考虑发达国家和发展中国家的不同需要,采取全新步骤。参考文献4。     

Quality and relevance of domain-specific search: A case study in mental health

When searching for health information, results quality can be judged against available scientific evidence: Do search engines return advice consistent with evidence based medicine? We compared the performance of domain-specific health and depression search engines against a general-purpose engine (Google) on both relevance of results and quality of advice. Over 101 queries, to which the term ‘depression’ was added if not already present, Google returned more relevant results than those of the domain-specific engines. However, over the 50 treatment-related queries, Google returned 70 pages recommending for or against a well studied treatment, of which 19 strongly disagreed with the scientific evidence. A domain-specific index of 4 sites selected by domain experts was only wrong in 5 of 50 recommendations. Analysis suggests a tension between relevance and quality. Indexing more pages can give a greater number of relevant results, but selective inclusion can give better quality.     

基于内容的图像检索之相关标准研究

论述基于内容的图像检索(CBIR)的3类标准：图像压缩标准、查询语言和信息内容描述标准，分析其存在的问题并提出解决方法，最后重点剖析多媒体信息描述国际标准MPEG-7的内容及其在CBIR中的应用。     

DC词表的维护:实践、策略与模型

DCMI维护着一个包含众多元数据术语的词表，其中最主要的是包括15个元素的都柏林核心。然而，DCMI所关注和讨论的并不只是这个核心集，以及围绕这个核心集的实践、策略和模型，DC元数据模型已经由最初的单一模型进化成一个完整的框架，可以通过这个框架对应用DC元数据的各种实践进行评估。这些术语及其以前的版本现在都由统一资源标识符(URI)来标识，并建立了网页和形式化的schema文档，在注册系统中被编成索引，在具体的应用纲要(application profiles)中被引用。DCMI正在寻求一种简单易行的维护机制，一方面推荐使用不断变化和增长的核心标准，另一方面承认和重用其它的词表作为必要的补充，这两者之间需要建立一种平衡。     

Retrieving and classifying instances of source code plagiarism

Automatic detection of source code plagiarism is an important research field for both the commercial software industry and within the research community. Existing methods of plagiarism detection primarily involve exhaustive pairwise document comparison, which does not scale well for large software collections. To achieve scalability, we approach the problem from an information retrieval (IR) perspective. We retrieve a ranked list of candidate documents in response to a pseudo-query representation constructed from each source code document in the collection. The challenge in source code document retrieval is that the standard bag-of-words (BoW) representation model for such documents is likely to result in many false positives being retrieved, because of the use of identical programming language specific constructs and keywords. To address this problem, we make use of an abstract syntax tree (AST) representation of the source code documents. While the IR approach is efficient, it is essentially unsupervised in nature. To further improve its effectiveness, we apply a supervised classifier (pre-trained with features extracted from sample plagiarized source code pairs) on the top ranked retrieved documents. We report experiments on the SOCO-2014 dataset comprising 12K Java source files with almost 1M lines of code. Our experiments confirm that the AST based approach produces significantly better retrieval effectiveness than a standard BoW representation, i.e., the AST based approach is able to identify a higher number of plagiarized source code documents at top ranks in response to a query source code document. The supervised classifier, trained on features extracted from sample plagiarized source code pairs, is shown to effectively filter and thus further improve the ranked list of retrieved candidate plagiarized documents.     

Tools and Principles for Effective Online Library Instruction: Andragogy and Undergraduates

The library literature evaluating the efficacy of online tutorial methods and delivery tools is a valuable resource for librarians looking for information to inform their choices for developing asynchronous online instruction. This literature, however, examines a wide variety of delivery tools, methods, and student populations. As a result, it is difficult to draw definitive conclusions about any one tutorial tool or method. This article compares selected research and concludes that the consensus in the literature suggests that applying adult learning principles to library tutorials has a larger impact on effective online instruction than the individual tool.     

科学博物馆与科学中心——发展历史及其根源①

本文以科学博物馆和科学中心的发展阶段为线索,综述了几个世纪以来科学传播的历史发展,阐述了科学实践如何嵌入到博物馆的展览实践之中并从中发展起来,以及关于科学在社会中的地位的观念变化如何在科学博物馆和科学中心得到反映,还展现了日益受到关注的科学传播如何在科学博物馆和科学中心层面体现出以公众需求为本。