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    Amblyomma americanum: a potential vector of Lyme disease in New Jersey (1984)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 1984-05-11
    Description: Amblyomma americanum is a likely secondary vector of Lyme disease in New Jersey. Ticks of this species were removed from the site of the characteristic skin lesion known as erythema chronicum migrans on two patients with the disease, and the Lyme disease spirochete was isolated from nymphs and adults of this species. That A. americanum is a potential vector is supported by its similarities to Ixodes dammini, the known tick vector, in seasonal distribution and host utilization. The extensive range of A. americanum may have great implications for potential Lyme disease transmission outside known endemic areas.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schulze, T L -- Bowen, G S -- Bosler, E M -- Lakat, M F -- Parkin, W E -- Altman, R -- Ormiston, B G -- Shisler, J K -- New York, N.Y. -- Science. 1984 May 11;224(4649):601-3.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/6710158" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; Aged ; Animals ; Arachnid Vectors/*microbiology ; Arthritis, Infectious/microbiology/*transmission ; Female ; Humans ; Male ; New Jersey ; Spirochaetales Infections/transmission ; Ticks/*microbiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
    Electronic Resource
    Electronic Resource
    An expert system for water quality modelling (1992)
    Springer
    Environmental monitoring and assessment 23 (1992), S. 1-18 
    Details
    ISSN: 1573-2959
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract The RAISON-micro (Regional Analysis by Intelligent System ON a micro-computer) expert system is being used to predict the effects of mine effluents on receiving waters in Ontario. The potential of this system to assist regulatory agencies and mining industries to define more acceptable effluent limits was shown in an initial study. This system has been further developed so that the expert system helps the model user choose the most appropriate model for a particular application from a hierarchy of models. The system currently contains seven models which range from steady state to time dependent models, for both conservative and nonconservative substances in rivers and lakes. The menu driven expert system prompts the model user for information such as the nature of the receiving water system, the type of effluent being considered, and the range of background data available for use as input to the models. The system can also be used to determine the nature of the environmental conditions at the site which are not available in the textual information database, such as the components of river flow. Applications of the water quality expert system are presented for representative mine sites in the Timmins area of Ontario.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00406949
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