130,463 research outputs found

    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

    Climate Alteration in the Metropolitan Area of Bari: Temperatures and Relationship with Characters of Urban Context

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    Urban planning exerts influences on environmental, social and economic system related with the city. Processes of land transformation and city growth determine radical changes in urban landscape morphology and as a consequence they affect air temperature and energy exchange. The urbanization can bear on local climate more intensively than the global warming does. This is due to the rapidity of human made changes related to natural ones. The present work analyzes the state of the art of studies involved in studying urban climate anomalies – Urban Heat Islands (UHI) – in order to explore relationship between urban planning morphology and urban climate. The research aim wants to indentify how urban geometry can be related with climate alterations in order to provide guidelines for planners to frame urban form planning and environmental quality. The case study is the city of Bari, located on the coast of the Mediterranean sea, in Apulia, one of the regions in Italy

    Desensitization in Iron Product Allergy

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    Iron deficiency is the main cause of anemia in both sexes, with women being more commonly affected. Iron therapy is currently considered an effective and safe remedy to replenish the iron storages. Iron can be administrated both orally and intravenously. In particular, intravenous (IV) iron therapy is widely used when oral iron preparations are either not tolerated or ineffective. Indeed, IV iron improves iron stores more rapidly. Two main immunological responses have been described for iron hypersensitivity reactions (HSRs): IgE-mediated allergy and complement activation-related pseudo-allergy. Here, we report 3 cases of adult patients with iron allergy, who were successfully treated with two different desensitization procedures, respectively. Analysis of these cases demonstrates that, in the presence of HSRs to iron products, desensitization is an effective and safe procedure that prevents treatment discontinuation and hence allows therapeutic target achievement

    Interactions of tolcapone analogues as stabilizers of the amyloidogenic protein transthyretin

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    Transthyretin (TTR) is an amyloidogenic homotetramer involved in the transport of thyroxine and retinol in blood and cerebrospinal fluid. TTR stabilizers, such as tolcapone, an FDA approved drug for Parkinson's disease, are able to interact with residues of the thyroxine-binding sites of TTR, both wild type and pathogenic mutant forms, thereby stabilizing its tetrameric native state and inhibiting amyloidogenesis. Herein, we report on the synthesis of 3-deoxytolcapone, a novel stabilizer of TTR. The high-resolution X-ray analyses of the interactions of 3-O-methyltolcapone and 3-deoxytolcapone with TTR were performed. In the two TTR−ligand complexes the tolcapone analogues establish mainly H-bond and hydrophobic interactions with residues of the thyroxine-binding site of the TTR tetramer. Both compounds are capable of high and selective stabilization of TTR in the presence of plasma proteins, despite their markedly different ‘forward’ and ‘reverse’ binding mode, respectively. In fact, the loss or the weakening of stabilizing interactions with protein residues of 3-deoxytolcapone in comparison with tolcapone and 3-O-methyltolcapone is compensated by new interactions established at the dimer-dimer interface. Our data, coupled with previously reported data on the pharmacokinetics properties in humans of tolcapone and 3-O-methyltolcapone, further support the relevance of the latter tolcapone analogue as TTR stabilizer
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