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School of Public Policy

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Publication Search Results

Now showing 1 - 10 of 13
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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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    Supplemental Materials to “Emergence Scoring to Identify Frontier R&D Topics and Key Players”
    (Georgia Institute of Technology, 2018) Porter, Alan L. ; Garner, Jon ; Carley, Stephen ; Newman, Nils
    Supplemental Materials to the article on "Emergence Scoring to Identify Frontier R&D Topics and Key Players"
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    Prevention and Reversal of Alzheimer's Disease
    (Georgia Institute of Technology, 2017) Kostoff, Ronald N. ; Zhang, Yi ; Ma, Jing ; Porter, Alan L. ; Buchtel, H.A.
    This monograph identifies the full spectrum of hundreds of actionable Alzheimer's Disease (AD) contributing factors, covering the broad categories of Lifestyle, Iatrogenic, Biotoxic, Environmental/Occupational, and Psychosocial/Socioeconomic. Eliminating or reducing these actionable contributing factors offers the promise of potentially preventing and reversing AD in selected cases, and also offers the promise of dramatically lowering AD healthcare costs by circumventing the need for 1) expensive high technology AD diagnostics and treatments and 2) expensive extended maintenance and care of individuals with AD. The monograph also describes the text mining/information technology advances that allowed the AD actionable contributing factors to be identified and extracted efficiently from the large numbers of biomedical journal articles retrieved.
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    Lessons from Ten Years of Nanotechnology Bibliometric Analysis
    (Georgia Institute of Technology, 2016-09) Youtie, Jan ; Porter, Alan L. ; Shapira, Philip ; Newman, Nils
    This paper summarizes the 10-year experiences of the Program in Science, Technology, and Innovation Policy (STIP) at Georgia Institute of Technology (Georgia Tech) in support of the Center for Nanotechnology in Society at Arizona State University (CNS-ASU) in understanding, characterizing, and conveying the development of nanotechnology research and application. This work was labeled “Research and Innovation Systems Assessment” or (RISA) by CNS-ASU. RISA concentrates on identifying and documenting quantifiable aspects of nanotechnology, including academic, commercial/industrial, and government nanoscience and nanotechnology (nanotechnologies) activity, research, and projects. RISA at CNS-ASU engaged in the first systematic attempt of its kind to define, characterize, and track a field of science and technology. A key element to RISA was the creation of a replicable approach to bibliometrically defining nanotechnology. Researchers in STIP, and beyond, could then query the resulting datasets to address topical areas ranging from basic country and regional concentrations of publications and patents, to findings about social science literature, environmental, health, and safety research and usage, to study corporate entry into nanotechnology, and to explore application areas as special interests arose. Key features of the success of the program include:  Having access to “large-scale” R&D abstract datasets  Analytical software  A portfolio that balances innovative long-term projects, such as webscraping to understand nanotechnology developments in small and medium-sized companies, with research characterizing the emergence of nanotechnology that more readily produces articles  Relationships with diverse networks of scholars and companies working in the nanotechnology science and social science domains  An influx of visiting researchers  A strong core of students with social science, as well as some programming background  A well-equipped facility and management by the principals through weekly problem-solving meetings, mini-deadlines, and the production journal articles rather than thick final reports.
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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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    Organizing a Multidisciplinary Workshop for Forecasting Innovation Pathways: the Case of Nano-Enabled Biosensors
    (Georgia Institute of Technology, 2011-09-17) Guo, Ying ; Huang, Lu ; Porter, Alan L. ; Robinson, Douglas K.R. ; Youtie, Jan ; Zhu, Donghua
    This paper reflects on attributes of a workshop on biosensor innovation pathways. Workshop visuals showing multiple interconnections resonated less with the scientist participants than those presenting more linear and business oriented information. Workshop discussions suggested two innovation pathways for biosensors, one involving passive use of nanomaterials in biorecognition and the other involving active use of nanomaterials in signal transduction.
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    The Use of IDR Metrics to Chart Research Trajectories at the Micro Level
    (Georgia Institute of Technology, 2011-09-17) Campbell, Audrey ; Carley, Stephen ; Porter, Alan L.
    This work focuses on two laboratories to understand the extent to which interdisciplinary research (IDR) metrics reflect research behaviors. The results indicate a statistically significant relationship between the level of interdisciplinarity and the years of active research for both the laboratories. Both laboratories evidence a tendency to become more integrative over time.
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    Does interdisciplinary research lead to higher scientific impact?
    (Georgia Institute of Technology, 2011-09-16) Amat, Carlos B. ; D'Este, Pablo ; Porter, Alan L. ; Rafols, Ismael ; Yegros, Alfredo
    This paper explores the relationship between interdisciplinarity and scientific impact at the paper level. To do so, we first operationalize interdisciplinarity of a paper as the diversity of disciplines it references. Second, we assess whether (and to what extent) different aspects of diversity affect scientific impact, using number of citations per paper as a proxy.
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    Assessing the Human and Social Dynamics Program—Exceptional Cross-disciplinarity
    (Georgia Institute of Technology, 2011-09-16) Garner, Jon ; Porter, Alan L.
    This paper presents an analysis of the cross-disciplinary character of the research supported by a unique US National Science Foundation program on Human and Social Dynamics (HSD). Measurement and mapping of the research publications deriving from support by the NSF Human & Social Dynamics Program show them to be exceptionally multi-disciplinary. Diffusion scores and science overlay maps show these papers to be widely cited across all four meta-disciplines. A new composite research networking visualization method suggests instigation of a research community addressing change processes.
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    Measuring the Interdisciplinarity of Nano-Biosensor Research based on Citation Analysis
    (Georgia Institute of Technology, 2011-09-16) Carley, Stephen ; Gao, Lidan ; Ma, Tingting ; Porter, Alan L. ; Wang, Wenping ; Zhang, Xian
    This research introduces a methodology that combines analysis of cited literature and cited patents to explore differences and similarities between nano-biosensor (NBS) science and technology.