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    Raabe, Sandra M. - Letters to (SC 1171)

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    Finding aid only for Manuscripts Small Collection 1171. Desert Storm letters (8) written by four service people to Sandra M. Raabe, Cincinnati, Ohio. Also included is correspondence related to the donation of the collection to WKU

    Sandra M. Sawyer, Westbrook Junior College, Class of 1962

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    Sandra M. Sawyer, Westbrook Junior College, Class of 1962, senior class photo. Sandy lived in Proctor and was in the Medical Secretary program.https://dune.une.edu/wchc_photos_students1960s/1204/thumbnail.jp

    Hydrological modeling for the regional stormwater management plan: an application and intercomparison of event based runoff generation in an urban catchment using empirical, lumped vs. physical, distributed parameter modeling

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    Hydrologic modeling for the characterization of two Regional Stormwater Management Plans is performed using both a lumped parameter, empirical model and a fully distributed, physical model. Both urban/suburban watersheds located in the Northeast United States contain impaired waters, impervious surfaces ranging from 15 to 25% of total land area and are officially un-gauged. Event based models performed on storms that range from 0.5 to 1.25 inches total depth were modeled to compare the resultant simulation hydrographs of the HEC-HMS model to the MIKE-SHE model. The results of the calibrated model predictions compared well with the observed stream flow in the lumped parameter model, but were less accurate in simulating soil infiltration parameters and impervious surfaces in the fully distributed model. Sensitivity analysis of the lumped parameter model indicated that the empirical parameter representing infiltration and runoff had the greatest effect on the accuracy of the event hydrograph. The parameter that most affected accurate simulation of the overland flow in the fully distributed, physical model was the land roughness coefficient, Manning M. When the impervious surfaces and unsaturated zone were included in the fully distributed model, the hydraulic conductivity became the principal element of calibration.Ph.D.Includes bibliographical references (p. 132-139)by Sandra M. Goodro

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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