131,646 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

    The R&D Tax Incentives

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    This article sets out some background information and reflections of the author on the R&D tax incentive schemes included in the Common Corporate Tax Base (CCTB) Proposal. In particular the author analyzes the stimulus to private R&D through ad hoc tax incentives included in the CCTB Proposal and dives into the actual provisions included in the Proposal highlighting the most relevant issues connected with their design and interpretation. Moreover, the author explores the interaction between the CCTB Proposal and the granting by Member States of domestic R&D tax incentives

    Grading Estimates of the Benefits and Costs of Federal Regulation

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    I review two recent estimates of the costs and, in one case, benefits of federal regulation. The first is found in the Office of Management and Budget’s 2005 report to Congress on the benefits and costs of federal regulations (OMB 2005b). OMB estimates annual benefits in 2004 to be 70to70 to 277 billion and costs to be 34to34 to 39 billion, but these estimates omit a great deal; the cost estimate, in particular, is generally acknowledged to be an underestimate. The other estimate, written by Mark Crain (Crain 2005) and sponsored by the Small Business Administration, uses a different approach and generates an estimate of $1 trillion. Crain also finds that the burden on small firms is much greater than the burden on large firms. In the final section of the paper, I also review a recent comparison, presented in the 2005 report to Congress, of ex ante and ex post estimates of the benefits and costs of individual regulations. I find the Crain report to be deeply problematic and the OMB’s ex ante/ex post comparison slightly less so.regulation, benefits, costs, ex ante, ex post, OMB

    A first principles and mean field investigation of the conformational properties of 5CB

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    Although the minimum energy conformation of the mesogenic molecule 4-n-pentyl-4′-cyano-biphenyl (5CB) is known to have an inter-ring torsional angle of 37.0° and an alkyl tail which lies perpendicular to the adjoining phenyl ring, less is known about the conformational properties of the alkyl tail. This paper investigates these properties in both the gas and nematic phase by combining first principles density functional theory calculations with the surface tensor mean field model of Ferrarini et al. (Molec. Phys, 1992, 77, 1). By comparing gas and nematic phase conformer populations, it is found that the nematic mean field selectively favours and disfavours certain conformations of the tail. The conformer distribution is discussed with reference to the results of bulk simulation studies and to C—D bond order parameters measured by NMR experiments

    Fluorescence lifetime biosensing with DNA microarrays and a CMOS-SPAD imager

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    Fluorescence lifetime of dye molecules is a sensitive reporter on local microenvironment which is generally independent of fluorophores concentration and can be used as a means of discrimination between molecules with spectrally overlapping emission. It is therefore a potentially powerful multiplexed detection modality in biosensing but requires extremely low light level operation typical of biological analyte concentrations, long data acquisition periods and on-chip processing capability to realize these advantages. We report here fluorescence lifetime data obtained using a CMOS-SPAD imager in conjunction with DNA microarrays and TIRF excitation geometry. This enables acquisition of single photon arrival time histograms for a 320 pixel FLIM map within less than 26 seconds exposure time. From this, we resolve distinct lifetime signatures corresponding to dye-labelled HCV and quantum-dot-labelled HCMV nucleic acid targets at concentrations as low as 10 nM.Micro ElectronicsElectrical Engineering, Mathematics and Computer Scienc
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