131,899 research outputs found

    Analyticity and uniqueness for the inverse conductivity problem

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    Consideriamo il problema inverso di determinare il coefficiente di conduttività a=1+μXD,DΩ,μ=costantea=1+\mu_{\mathcal{X\mathit{D}}},D\subset\subset\Omega,\mu=\textrm{costante}, nell'equazione ellittica div(au)=0\left(a\nabla u\right)=0 in Ω\Omega, quando siano assegnati dati al bordo sovradeterminati per una soluzione u non banale. Mostriamo che la nonunicità nella determinazione di D implica che una porzione Γ\Gamma di D\partial\textrm{D} è soluzione di un particolare problema di frontiera libera. Dimostriamo alcune proprietà di analiticità di tale frontiera libera e, in conseguenza, otteniamo alcuni risultati di unicità per il problema inverso della conduttività.We treat the inverse problem of the determination of the conductivity coefficient a=1+μXD,DΩ,μ=costanta=1+\mu_{\mathcal{X\mathit{D}}},D\subset\subset\Omega,\mu=\textrm{costant}, in the elliptic equation div(au)=0\left(a\nabla u\right)=0 in Ω\Omega, when overdetermined boundary data for one nontrivial solution u are assigned. We show that nonuniqueness in the detennination of the domain D would imply that a part Γ\Gamma of D\partial\textrm{D} is a solution of a particular free boundary problem. We prove analyticity properties of such a free boundary and, consequently, we derive uniqueness results for the inverse conductivity problem

    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

    Outlooks of therapy for genital herpes

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    Herpesvirus infections are widespread in humans. Approximately 6–10% of adults suffer from genital herpes and 10–20% of them have recurrent disease. Herpesvirus infections (including asymptomatic and silent forms) were found to have a negative effect on human reproductive health. Herpes simplex virus can infect germ cells, impair spermatogenesis, and play a certain pathogenetic role in the development of infertility. Herpes is a serious medical and social problem. Patients with recurrent herpes often have imbalanced immune responses involving interferons and other cytokines, as well as inhibition of cellular and phagocytic reactions of the organism. Meglumine acridone acetate, an interferon inducer, demonstrated high clinical and immunological efficacy in the treatment and prevention of recurrent herpes. The drug can be combined with other medications and is well tolerated by patients

    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
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