130,863 research outputs found

    Wir sind Pilgrime in dieser Welt : eine Predigt, gehalten am Sonntage Jubilate 1831 in der St. Johanniskirche zu Dresden / von Martin Stephan, Pastor der Böhmischen Gemeinde und deutschem Prediger an der Johanniskirche

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    Auf der Rückseite des Titelblatts Vermerk der Druckgenehmigung: Imprimatur v. Ammon, D. [Christoph Friedrich von Ammon, Dresden]FrakturErscheinungsjahr nicht ermittelbar, nach Datierung im Titel bestimmtVorlageform der Veröffentlichungsangabe: Dresden, in Commission der Waltherschen Hofbuchhandlung. - Vorliegende Form (Kolophon): Gedruckt und zu finden in der Hofbuchdruckerei von Meinhold u. Söhnen

    Seiner Hochwürdigen Magnificenz Herrn D. Tittmann bisherigen Generalsuperintendenten des Churkreises, des geistlichen Consistorii zu Wittenberg Beysitzer, und der dasigen theologischen Facultät erstem ordentlichen Lehrer und Senior gewidmet bey dem Antritte seines neuen Amts als Superintendent und Beysitzer des Oberconsistorii in Dresden / von nachstehenden Verehrern und gewesenen Zuhörern Desselben

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    Festrede auf Carl Christian Tittmann, anläßlich seines Amtsantritt zum Superintendenten in Dresden, 1789Enth.: Namensliste aller Personen im Anschluß des TextesAutopsie nach dem Exemplar der ULB Sachsen-AnhaltVorlageform des Erscheinungsvermerks: Dresden, gedruckt mit Meinholdischen Schriften. 1789

    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
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