ObjectiveBiomedical research literature databases are one of the important sources for searching evidence of clinical practice.
生物医学文献数据库是临床医学实践证据的重要来源之一。
For the full-text searching in compound name or literature databases, the searching efficiency will become evidently low when the record number achieves millions.
检索记录数达数百万以上的化合物名称或文献数据库时，全文检索效率将变得很低。
A review of the literature was conducted using PubMed and CINAHL databases and targeting research trials and reviews from 2000 to the present.
研究人员使用PubMed和CINAHL数据库和目标研究试验进行文献研究。评论是从2000年到现在为止的。
This Web site provides access to a myriad of biological sequence databases, structural databases, bioinformatics tools, and literature search tools.
这个网站提供了无数的序列资料库，结构资料库，生物资讯工具，以及文献搜寻工具。
Mining similar sequences and similar trends in time-series databases is a novel and important problem in data mining literature.
时间序列数据库中相似序列与相似趋势的挖掘，是数据挖掘领域的一个较新的重要问题。
Dental practitioners can find out about reliable and up-to-date information available in the published literature by searching bibliographic databases.
牙科实践者能够通过搜索书目数据库在发表的文献中找到可用的可靠的且最新的信息。
They hope to use it not on recipe books but on the vast corpus of scientific literature (by one tally at least 50m scientific papers) that has piled up in public databases.
他们希望能够把它用于累积在公共数据库里，科学文献的巨大语料库(一种科学文献至少就有五千万的科技资料)，而不仅仅是菜谱。
Accessing the literature: using bibliographic databases to find journal articles.
访问文献：使用书目数据库来寻找期刊文章。
Accessing the literature: using bibliographic databases to find journal articles.
访问文献：使用书目数据库来寻找期刊文章。
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