186,186 research outputs found

    A theory of quantitative inference for artifact sets, applied to a mechanical design compiler

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    Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1989.Includes bibliographical references (leaves 133-138).by Allen Corlies Ward.Sc.D

    Cassini Synthetic Aperture RADAR Derived Digital Topographic Models of Saturn's Moon Titan

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    These are ISIS cube files of topographic models for Titan, reported in P. Corlies et al. "Titan's Topography and Shape at the End of the Cassini Mission." In P. Corlies et al. we found: With the conclusion of the Cassini mission, we present an updated topographic map of Titan, including all the available altimetry, SARtopo, and stereophotogrammetry topographic data sets available from the mission. We use radial basis functions to interpolate the sparse data set, which covers only ∼9% of Titan's global area. The most notable updates to the topography include higher coverage of the poles of Titan, improved fits to the global shape, and a finer resolution of the global interpolation. We also present a statistical analysis of the error in the derived products and perform a global minimization on a profile-by-profile basis to account for observed biases in the input data set. We find a greater flattening of Titan than measured, additional topographic rises in Titan's southern hemisphere and better constrain the possible locations of past and present liquids on Titan's surface.This data was collected and processed by the NASA Cassini spacecraft mission

    Interstate Commerce Commission, Report of the Accident Investigation Occurring on the CHICAGO, MILWAUKEE AND ST. PAUL RAILWAY, CORLIES, WI.

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    https://doi.org/10.21949/15061481911PDFTech ReportFrontal crashesRailroad crashesRailroad trainsUnited StatesWisconsinUnited States. Interstate Commerce CommissionUnited States. Interstate Commerce CommissionInvestigations of Railroad Accidents 1911 \u2013 1993CHICAGO, MILWAUKEE AND ST. PAUL RAILWAY in CORLIES, WI.90

    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

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Withdrawn by Author

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    <p>Withdrawn by Author </p&gt

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Dr. Edward P. Wimberly, ITC, July 2011

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    This video is a conversation with Dr. Edward P. Wimberly. Dr. Wimberly talks about his book, "No Shame in Wesley's Gospel: A Twenty-First Century Pastoral Gospel". Brad Ost, AUC Woodruff Library, is the interviewer

    Author Rights and Scholarly Publishing

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    Originally posted at http://blog.library.gsu.edu/2014/10/24/author-rights-and-scholarly-publishing/</p
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