131,265 research outputs found

    C. Deverre, D. Ponchelet, La grande propriété foncière en Brie. Transformations larvées : 1800-1865.

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    Pingaud Marie-Claude. C. Deverre, D. Ponchelet, La grande propriété foncière en Brie. Transformations larvées : 1800-1865.. In: Études rurales, n°85, 1982. pp. 97-98

    Bibliographia Philosophica 1934-1945. Edidit G. A. De Brie. Volumen I, Bibliographia Historiae Philosophiae

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    D. J. Bibliographia Philosophica 1934-1945. Edidit G. A. De Brie. Volumen I, Bibliographia Historiae Philosophiae. In: Revue Philosophique de Louvain. Troisième série, tome 49, n°22, 1951. pp. 245-246

    Bibliographia Philosophica 1934-1945. Edidit G. A. De Brie. Volumen I, Bibliographia Historiae Philosophiae

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    D. J. Bibliographia Philosophica 1934-1945. Edidit G. A. De Brie. Volumen I, Bibliographia Historiae Philosophiae. In: Revue Philosophique de Louvain. Troisième série, tome 49, n°22, 1951. pp. 245-246

    Hocus Pocus: Modern-Day Manifestations of Witch Hunts

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    In "Hocus Pocus: Modern-Day Manifestations of Witch Hunts," Brie D. Sherwin explores how historical witch hunts have evolved into contemporary issues. The book examines how the same fear-driven, scapegoating dynamics that fueled past witch hunts are reflected in modern social, political, and cultural contexts. Sherwin discusses various instances where individuals or groups are persecuted or marginalized due to irrational fears, misinformation, or scapegoating, drawing parallels to historical witch hunts. Through this analysis, Sherwin underscores the persistence of these harmful patterns and advocates for a more thoughtful and compassionate approach to addressing societal conflicts

    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

    Industrial R&D in Italy: Exploration and Exploitation Strategies in Industrial R&D

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    This paper discusses four types of strategic decisions in technology management in established firms. It is well known that deciding between exploration and exploitation in R&D, and eventually combining the two strategies, is a crucial issue. However, we argue that more attention, both from a theoretical and an empirical perspective, should be paid to the strategic solutions which are implemented as a consequence of such decisions, as well as to the various types of interactions between strategic decisions and organizational solutions in industrial R&D. Here we apply to R&D management concepts derived from the industrial dynamics literature, and use a theoretical framework to describe and analyse four case studies concerning the largest R&D centres of Italian firms operating in different industrial sectors (telecommunications, automotive, communication and cables, and semiconductors). The different approaches that those private R&D centres have chosen in their recent past are compared and discussed. More specifically, we try and analyze the patterns of exploration, technology transfer and commercialization that industrial R&D labs have adopted in order to combine short-term objectives of exploitation of research results and competencies, and long-term goals of exploration of new technological trajectories. The proposed approach is based upon the use of two dimensions: first, the type of technological change, and second the control of complementary assets and the existence of a dominant design. We argue that the interpretation of the four case studies can represent a useful basis for discussion among R&D managers as well as innovation and technology management scholars.

    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
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