Organizational Unit:
School of Public Policy

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https://hdl.handle.net/1853/70716
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https://finding-aids.library.gatech.edu/agents/corporate_entities/1033

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Now showing 1 - 5 of 5
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    Prevention and reversal of Alzheimer's disease: treatment protocol
    (Georgia Institute of Technology, 2018-01-23) Kostoff, Ronald N. ; Porter, Alan L. ; Buchtel, Henry A.
    This monograph presents a five-step treatment protocol to prevent and reverse Alzheimer's Disease (AD), based on the following systemic medical principle: at the present time, removal of cause is a necessary, but not necessarily sufficient, condition for restorative treatment to be effective. The five treatment protocol steps are as follows: Step 1 - obtain a detailed medical and habit/exposure history from the patient; Step 2 - administer written and clinical performance and behavioral tests to assess the severity of the higher-level symptoms and degradation of executive functions; Step 3 - administer laboratory tests (blood, urine, imaging, etc.); Step 4 - eliminate ongoing AD contributing factors; Step 5 - implement AD treatments. This individually-tailored AD treatment protocol can be implemented with the data available in the biomedical literature presently. Additionally, while the methodology developed for this study was applied to AD, it is general and applicable to any chronic disease that, like AD, has an associated substantial research literature. Thus, the protocol and methodology we have developed to prevent or reverse AD can be used to prevent or reverse any chronic disease (with the possible exceptions of individuals with strong genetic predispositions to the disease in question or who have suffered irreversible damage from the disease).***NOTE***There are four files in this record. Presently, they are located in the left column of this Web page listed under the heading View/Open. MONOGRAPH_FINAL.pdf contains the monograph narrative; FIGURES_FINAL.xlsx contains the figures from the monograph in Excel spreadsheet format; SUPPLEMENTARY_FINAL.pdf contains supplementary bibliography and queries; and README.pdf is the ReadMe file. The two data files are referenced in the monograph as either "(see file FIGURES_FINAL.xlsx)" or "(see file SUPPLEMENTARY_FINAL.pdf)".
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    Credibility and Use of Scientific and Technical Information in Science Policy Making: An Analysis of the Information Bases of the National Research Council’s committee reports
    (Georgia Institute of Technology, 2017-02) Youtie, Jan ; Bozeman, Barry ; Jabbehdari, Sahra ; Kao, Andrew
    This is a public use dataset summarizing information in National Academies reports published over the 2005-2012 period.
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    How Multidisciplinary are the Multidisciplinary Journals Science and Nature?
    (Georgia Institute of Technology, 2016-03-15) Solomon, Gregg E. A. ; Carley, Stephen ; Porter, Alan L.
    This dataset provides Integration and Diffusion scores for the articles analyzed in our study, along with correlation coefficients and descriptive statistics for the same.
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    National Study of Research Collaboration
    (Georgia Institute of Technology, 2016-01-12) Youtie, Jan ; Bozeman, Barry ; Anderson, Derrick
    This entry includes a public use dataset (in CSV format) and a codebook for the NSRC project, NSF # SES-1026231.
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    The CREA Project – Measuring and Analyzing Highly Creative Scientific Research
    (Georgia Institute of Technology, 2011-01-24) Shapira, Philip ; Youtie, Jan L. ; Rogers, Juan D. ; Heinze, Thomas
    This project investigates the features of the research environment that enable and foster highly creative research in nanotechnology and human genetics in the US and Europe. It also examines the influence of career patterns. The study contributes to the methodology of science studies by further developing and extending curriculum vita (CV) analysis. The identification of factors in the research environment has broader implications for research and human resource management, and the design and implementation of funding schemes. The use of comparative fields extends the range of impact to two different emerging fields. Public datasets containing variables related to the creative researcher nominees is made available for use by others.