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  • 1
    Article
    Article
    Associated volumes
    In:  Journal of ethnopharmacology : an interdisciplinary journal devoted to bioscientific research on indigenous drugs Vol. 155, No. 1 (2014), p. 1-8
    ISSN: 0378-8741
    Language: Undetermined
    Titel der Quelle: Journal of ethnopharmacology : an interdisciplinary journal devoted to bioscientific research on indigenous drugs
    Publ. der Quelle: Shannon : Elsevier Science Ireland
    Angaben zur Quelle: Vol. 155, No. 1 (2014), p. 1-8
    DDC: 610
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  • 2
    Article
    Article
    Associated volumes
    In:  Journal of ethnopharmacology : an interdisciplinary journal devoted to bioscientific research on indigenous drugs Vol. 162 (2015), p. 104-111
    ISSN: 0378-8741
    Language: English
    Titel der Quelle: Journal of ethnopharmacology : an interdisciplinary journal devoted to bioscientific research on indigenous drugs
    Publ. der Quelle: Shannon : Elsevier Science Ireland
    Angaben zur Quelle: Vol. 162 (2015), p. 104-111
    DDC: 610
    Abstract: Several species from the genus Hippocampus have been widely used as a traditional medicine or invigorant with long history in China. Five species of them have been recorded in Chinese pharmacopoeia with name Hippocampus (Chinese name Haima [symbol: see text]). The ethnopharmacologial history of this genus indicated that they possess anti-tumor, anti-aging, anti-fatigue, anti-prostatic hyperplasia activities and can be used for the treatment of tumor, aging, fatigue, thrombus, inflammatory, hypertension and impotence. This review focuses on the traditional medicinal uses of Hippocampus species, as well as the phytochemical, pharmacological and toxicological studies on this genus. To provide an overview of the ethnopharmacology, chemical constituents, pharmacology and clinical applications of the genus Hippocampus, and to reveal their therapeutic potentials and being an evidence base for further research works of the Hippocampus. Information on the Hippocampus species was collected from scientific journals, books, thesis and reports based on the Chinese herbal classic literature and worldwide accepted scientific databases via a library and electronic search (PubMed, Elsevier, Scopus, Google Scholar, Springer, Web of Science and CNKI). A survey of literature revealed that the major chemical constituents of Hippocampus are sterides, essential amino acids, fatty acids and microelements. Experimental evidences confirmed that the Hippocampus could be used in treating tumor, aging, fatigue, thrombus, inflammatory, hypertension, prostatic hyperplasia and impotence. The most important function of Hippocampus in TCM is invigorating kidney-yang. The key traditional uses of Hippocampus have been investigated in vitro and in vivo, but their mechanism and clinical trial data are needed, and the sustainable exploitation of the endangered Hippocampus species should be considered. This literature analysis of traditional medicinal uses and experimental chemical and pharmacological data of Hippocampus provide a scientific basis for future research. Hippocampus is a promising traditional medicine and holds great potential for being exploited as healthy products and drugs. Aquaculture and substitutes of Hippocampus are valid approaches to protect Hippocampus form being endangered species.
    Note: Copyright: Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.
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  • 3
    Language: English
    Pages: 1 Online-Ressource (39 pages)
    Parallel Title: Erscheint auch als Stacy, Brian Missing Evidence: Tracking Academic Data Use around the World
    Keywords: Academia ; Academic Research Article Survey ; Country Data Analysis ; Developing Country Research Study ; Economic Policy, Institutions and Governance ; Macroeconomics and Economic Growth ; Natural Language Processing ; Poverty and Policy ; Poverty Reduction
    Abstract: Data-driven research on a country is key to producing evidence-based public policies. Yet little is known about where data-driven research is lacking and how it could be expanded. This paper proposes a method for tracking academic data use by country of subject, applying natural language processing to open-access research papers. The model's predictions produce country estimates of the number of articles using data that are highly correlated with a human-coded approach, with a correlation of 0.99. Analyzing more than 1 million academic articles, the paper finds that the number of articles on a country is strongly correlated with its gross domestic product per capita, population, and the quality of its national statistical system. The paper identifies data sources that are strongly associated with data-driven research and finds that availability of subnational data appears to be particularly important. Finally, the paper classifies countries into groups based on whether they could most benefit from increasing their supply of or demand for data. The findings show that the former applies to many low- and lower-middle-income countries, while the latter applies to many upper-middle- and high-income countries
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