131,152 research outputs found

    Swindon Borough Council (Unitary Authority) Local Election Results 2016

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    Data for all local elections, including by-elections, for Swindon Borough Council, Unitary Authority, UK from 1996 (shadow Council elections) to date (2016). The data come from the Electoral Services Team, Swindon Borough Council, Euclid Street, Swindon SN1 2JH The format for the dataset is based on Rallings, C.S., Thrasher, M.A.M., Ware, L. (2006). British Local Election Database, 1889-2003. [data collection]. UK Data Service. SN: 5319, http://dx.doi.org/10.5255/UKDA-SN-5319-1. However, any errors are solely the responsibility of the collator

    Cold War at Porton Down: Informed Consent in Britain’s Biological and Chemical Warfare Experiments

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    In 2004, the author was appointed historical expert to HM Coroner for Wiltshire and Swindon in the Inquest looking into the death of Ronald George Maddison. Unless stated otherwise, the material presented derives from the "Exhibits" that were supplied to the interested parties and from the Inquest "Transcript.

    Gwen John to Lucian Freud: Home and the World: Dexter Dalwood Selects from the Swindon Collection [curator]

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    Group exhibition of 32 works curated by Dexter Dalwood, selected from works in the Swindon Collection., and exhibited at the Holburne Museum, Bath, 28 February-7 June 2015 Published essay by Dexter Dalwood in free illustrated introductory guide that accompanies the exhibitio

    MeSH term explosion and author rank improve expert recommendations

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    Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank

    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

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    A. D. Fricke, author

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    Black and white photograph of author, A. D. Fricke

    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

    Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund

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    At the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
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