MEDIE MEDIE is an intelligent search engine to retrieve biomedical correlations from MEDLINE, based on indexing by Natural Language Processing and Text Mining techniques. You can find abstracts/sentences in MEDLINE by specifying semantics of correlations; for example, "What activates p53" and "What causes colon cancer". Semantic search is to use a semantic query for finding biomedical correlations. Input a subject, a verb, and an object of a concept (or either of them) into a form. Results of the query will be shown in a second. International Committee of Medical Journal Editors (ICMJE) Uniform Requirements for Manuscripts Submitted to Biomedical Journals: Sample References The International Committee of Medical Journal Editors offers guidance to authors in its publication Recommendations for the Conduct, Reporting, Editing and Publication of Scholarly Work in Medical Journals (ICMJE Recommendations), which was formerly the Uniform Requirements for Manuscripts. The recommended style for references is based on the National Information Standards Organization NISO Z39.29-2005 (R2010) Bibliographic References as adapted by the National Library of Medicine for its databases. Details are in Citing Medicine. (Note Appendix F which covers how citations in MEDLINE/PubMed differ from the advice in Citing Medicine.) Sample references typically used by authors of journal articles are provided below. Articles in Journals (see also #36.
Ebooks 2012 German | ISBN: 3709104661 | 2013 | 550 pages | PDF | 11 MB Das Buch liefert eine ubersichtliche und pragnante Darstellung der diagnostischen und therapeutischen Rehabilitationskonzepte fur zahlreiche Krankheitsbilder. Fur die 3. All of OCLC’s WorldCat Heading Toward the Open Web Excited by the "resounding success" of the Open WorldCat pilot program, the management of OCLC, the world's largest library vendor, has decided to open the entire collection of 53.3 million items connected to 928.6 million library holdings for "harvesting" by Google and Yahoo! Search. A letter from Jay Jordan, president and CEO of OCLC, went out to members on Oct. 8. Currently, the Open WorldCat subset database contains about 2 million records, all items held by 100 or more academic, public, or school libraries—some 12,000 libraries all told. The new upgraded Open WorldCat program will automatically include all of the 15,000-plus OCLC libraries that contribute ownership information (holdings) to WorldCat, unless the library asks to have its holdings excluded.
Quertle To find the most focused results, Quertle searches for assertions made by the author(s) that tie all of your search terms together in a meaningful way. Thus, it is best to focus your initial query on the core concepts of interest, such as "what causes B". Then, add additional terms, such as "mice", and dates when you filter the results. Authors and journals should be entered into their own search boxes. Example use this: caffeine treats migraines instead of this: caffeine treats migraines in mice 2009 Smith As you type, automatic suggestions will appear. human disease database MalaCards is an integrated searchable database of human maladies and their annotations, modeled on the architecture and richness of the popular GeneCards database of human genes. MalaCards leverages GeneCards and GeneDecks and their associated genes. Each "card" contains a variety of detailed sections. For example, see our Sample Malady. MalaCards search guide This page provides information about the various MalaCards sections and tables.
An Investigation into the Deep Web - Maddie Morris The Deep Web is even more extensive and arcane than its cavernous name intimates, and it doesn’t help that a sea of misinformation surrounds it. This paper seeks to fulfill the need for an accurate, comprehensible guide to the Deep Web suited to both the interested layman and the tech maestro. A quick Google search will tell you that the Deep Web is any Internet database not indexed by search engines. This is true, but the more you look into it, the more complicated and insufficient said explanation becomes.
PubViz In short, PubViz is developed to provide the capability of utilizing external knowledge as well as interactive visual query functions for more efficient exploration of the Medline database. The current version has the ability to utilize protein-protein interaction data during Medline search and enable researchers to identify functionally related Medline records not retrievable in existing search engines. It can also utilize the structure relationship of different type of genetic markers including cytobands, microsatellite/STS markers, SNPs and genes derived from human genome assembly and HapMap data for deep search of genetically related Medline records.
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