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关键词： 高校   档案信息   资源整合  

摘要： 随着社会的进步和信息技术的不断发展,高校的档案管理也逐步向信息化方向迈进。但是由于高校科技档案信息资源整合还处于初期的发展阶段,所以高校档案管理出现了很多问题。通过分析高校科技档案信息资源整合的现状,研究高校科技档案信息资源整合存在的不足,从而提出高校科技档案信息资源整合的解决方案,促进高校科技档案信息资源整合。

关键词： 图书馆资源建设   文献信息资源建设   图书馆界   战略规划   档案馆   核心功能   学术研讨会   关键问题  

摘要： 资源是图书馆(情报所、档案馆等)存在与发展的基础、基石和根基,资源建设是图书馆的一项核心功能与关键能力。面向“十四五”,图书馆资源建设面临诸多挑战,也需要重新制订战略规划与建设策略为加强全国图书馆界资源建设战略规划的交流,解决图书馆面向“十四五”资源建设需要解决的关键问题。

关键词： 搜索引擎   浏览器   神经元   三十六   关机  

摘要： “再查一遍红巨。”安文浩边想边打开浏览器,刚打算进入搜索引擎,突然想起,自己上次似乎已经把能查的搜索引擎全都查完了。现在,自己还能再查些什么呢?失望之下,他准备关机。一个想法却突然冒出:为什么不试试神经元搜索引擎呢?这可是目前最新的技术。

关键词： 煤矿   生产   网络信息   资源   安全管理  

摘要： 在一般情况下,生产煤矿时常会受到恶劣、复杂、多变条件因素的影响,所以很容易导致一些安全隐患的发生,而通过灵活的计算机网络化应用,便可以通过互联网上丰富的信息化资源,为煤矿的生产提供更加安全、高效的服务,并能够极大的降低在煤矿生产中发生事故的概率,以此更好的促进煤矿行业的发展。

关键词： 高等医学院校图书馆   信息资源共享体系   构建路径   网络框架  

摘要： 随着社会的发展,实现跨际融合,共享信息资源,已经成为各行各业发展趋势的主流。该文主要简述高等医学院校图书馆信息资源共享体系的构建意义,并且根据实际情况,提出高等医学院校图书馆信息资源共享体系的构建路径,旨在为相关高等医学院校图书馆信息资源共享体系得到如期构建,实现理想愿景,发挥应有效能,提供部分参考价值。

ISBN: (纸本)9787030697530

关键词： Internet proliferation   Domestic search engine   Global search engine   Over-the-top   OTT industry   Panel data analysis  

摘要： Search engines and over-the-top (OTT) services, which provide Internet media content, have become increasingly important as Internet usage and the number of websites have spread worldwide. This study examined 1) how Internet proliferation in a given country affects the market shares of domestic and global search engine companies, and 2) how search engine shares in domestic markets affect the global market share of domestic OTT industry. The results showed that 1) wired Internet proliferation has a positive effect on the market shares of domestic search engines, while wireless Internet proliferation has a negative effect. In contrast, wired Internet proliferation has a negative effect on the market shares of global search engines, while wireless Internet has a positive effect. In addition, 2) an increase in the market shares of domestic search engine companies has a positive effect on the global market share of domestic OTT industry. The findings of this study have practical implications for strategy development of related companies and offer empirical evidence for the interdependence of growth in the Internet and entertainment and media markets.

关键词： Cryptocurrencies   Investor attention   Granger causality   Social media   Twitter   Google   Wavelet testing  

摘要： There is considerable interest in the impact of investor attention on investment returns, especially for cryptocurrencies. However, previous research does not distinguish between search-engine attention and social-media forms of attention-even though this distinction is emphasized by marketing professionals. Professional marketers emphasize that attention is optimized by combinations of social-media and search-engine presence. We investigate the bi-directional causalities, and concomitant frequencies, between cryptocurrency returns and investor attention, comparing cryptocurrency sensitivity to Twitter tweets and the intensity of Google searches, as well as combinations of Twitter and Google. For 27 cryptocurrencies, we use a non-parametric wavelet Granger causality test to incorporate multiple time horizons. We also employ Diebold and Yilmaz spillover testing to assess respective pairwise influence between attention measures and respective cryptocurrencies. Results indicate a preponderance of bidirectional Granger causality for the great majority of cryptocurrencies, with the impact of Twitter on cryptocurrencies being shorter term. Consistent with expectations, we identify that bi-directional causalities, and spillovers, of cryptocurrencies with investor attention are significantly more evident for proxies of investor attention that are combinations of social media (Twitter) and search engine intensity (Google), rather than either one of these forms alone. Our results have applicability to a broad range of investor attention studies.

关键词： Grey literature   Document search   Early Middle Ages   Cremations   Natural language processing   Machine learning   Deep learning  

摘要： This paper presents a case study on Early Medieval burial practices using AGNES, an intelligent search engine for Dutch archaeological grey literature. Traditionally, it is assumed that cremations phased out at the start of the Early Middle Ages, when the inhumation practice became more numerous. However, recent research (Lippok, 2020) shows that cremations might be more prevalent than previously assumed. Due to research efforts being concentrated on furnished inhumations, cremations and other types of burials have not received their share of research interest. It is suspected that unknown Early Medieval cremations may be found in grey literature research reports. The rapidly growing document collection requires more efficient methods to search through this big data, as manual searching is too time intensive. AGNES uses machine learning to allow searching on archaeological concepts (such as time periods and artefacts) in full texts, solving common problems with synonymy and polysemy. This paper describes a controlled search for Early Medieval cremations in the Netherlands, and a comparison of the new information uncovered from the reports to prior knowledge on the topic. The queries resulted in 2541 hits. Twenty-three Early Medieval cremations that were previously unknown to experts were uncovered, and 31 (of 77) known sites were identified. Forty-one possibly interesting documents were noted, where it was not clear from the report if Early Medieval cremations were present. 2446 documents were not relevant to the study for various reasons. The 23 new sites are an increase of 30% over the existing knowledge of experts. In the last 20 years only nine new sites featuring Early Medieval cremations were discovered, so being able to add another 23 is a major development. Adding previously unknown Early Medieval cremations to the dataset challenges the existing bias for inhumation graves, and supports striving towards viewing the Early Medieval burial repertoire as more he