1,721,793 research outputs found

    SimTraces : A Numerical simulator for predicting the accumulation of Trace Elements (TE's) by crops

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    Accumulation of soil trace elements by cultivated plants is a threat for food and feed quality but on the other hand, it is also a valuable solution for cleaning-up polluted soils. In order to guarantee the quality of crops or to optimize phytoextraction, it is necessary to identify the key mechanisms that govern the geochemistry of the trace elements in soils, their uptake by a growing root system and their partitioning between plant organs. The main objective of the SimTrace project is to integrate all the key mechanisms governing the accumulation of trace elements in plant parts into a simulation model that also considers the environmental conditions of the crop : climate, and agricultural practices. Besides being a scientific tool, the simulation model should allow farmers and environmental stakeholders not only to assess the risk that crops do not comply the regulations for their content in trace elements but also to test scenarios of agricultural practices in order i) to make the crops comply with the regulation and ii) to optimize the phytoextraction of trace elements from polluted soils by dedicated crops. SimTraces is a research project dedicated to be transferred to applications in the field. It has been coordinated by UMR 1391 INRA ISPA (Ch. Nguyen). It relied on a scientific consortium of five INRA groups (UMR ISPA Bordeaux, LSE Nancy, PSH, Agroclim and BioSP, Avignon). The project started in January 2012 and lasted four years and a half. SimTraces was funded by the French National Research Agency (ANR) (448 810€) and the total cost was around 2 663 964€

    Gestion des archives scientifiques. Étude de cas du département AgroEcoSystem et du centre PACA

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    Encadrement de la mission : Iñaki García de Cortázar-Atauri (US AgroClim) avec l’appui de Virginie Lelièvre (Département AgroEcoSystem)L’unité de service AgroClim étudie l’impact du climat passé, présent et futur sur les agroécosystèmes. Depuis plus de 20 ans, l’unité a développé un savoir-faire technique dans la mise en place, gestion et diffusion des données de divers types. Dans le cadre des travaux sur la phénologie, l’unité a commencé à compiler depuis 2002 des données d’observation des unités expérimentales d’INRAE. Les données anciennes constituent des ressources à part entière, car il s’agit de données existantes que l’on souhaite réutiliser qui nous permettent de remonter le temps et de construire des séries longues d’observation des agroécosystèmes. En 2024, AgroClim a été mandatée pour identifier des archives scientifiques pertinentes pour la recherche sur les effets du climat sur l'agriculture. Plusieurs fonds d'archives ont été traités, révélant de nombreuses données. Ce rapport présente la méthode utilisée pour décrire l’état des archives papier et des données qu’elles contiennent ainsi que leur gestion sur le moyen-long terme

    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

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    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

    Author Index

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