1,720,959 research outputs found

    Concepts and tools for exploiting sessile bio-filters as early warning elements: introductory applications for marine ecosystem preservation

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    Current evidence suggests that integrating diverse warning systems at different biological levels may not only increase the probability of detecting threats but also mitigate their impact. Here, we propose the use of both molecular and morphological descriptors at different biological levels in sessile bivalves (a suitable biological model in monitoring programs) to collect information on the ecosystem health of coastal marine habitats. In this context, studies may be implemented on biomarkers to exploit some population features, with the aim to propose an actual monitoring program that predictively would provide possible scenarios on the species fitness and ecosystem changes. Thus, the use of quality biotic elements may provide an objective environmental monitoring method and facilitate the development of sanitary, economic, and social strategies related to sustainable exploitation

    Protective Effects of L-Dopa and Carbidopa Combined Treatments on Human Catecholaminergic Cells

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    Parkinson's disease (PD) is one of the most common neurodegenerative disorders characterized by decreased levels of the neurotransmitter dopamine (DA) in the striatum of the brain, as a result of degeneration of DA neurons. Levodopa (L-Dopa) crosses the blood–brain barrier and its administration replenishes the loss of DA in dopaminergic neurons in PD patients. Despite the evident beneficial effects, L-Dopa use may cause side effects and its toxicity found in in vitro assays has been attributed to the generation of reactive oxygen species (ROS): L-Dopa is converted to DA and its metabolism and autoxidation gives rise to quinones, semiquinones, and hydrogen peroxide. Despite this evidence, L-Dopa in some in vivo and in vitro experiments showed no toxic effects, or even antioxidant effects. Two major peripheral L-Dopa metabolic pathways, driven by the enzymes Aromatic L-amino acid decarboxylase (AADC) and catechol-O-methyl transferase (COMT), significantly deplete the amount of L-Dopa reaching the brain. The low bioavailability of L-Dopa may cause a wide variation in clinical response between patients. Strategies addressing to improve the bioavailability of L-Dopa include coadministering L-Dopa with carbidopa, a decarboxylase inhibitor, as multiple daily doses. We utilized catecholaminergic human neuroblastoma cells to study DNA damage and ROS production after L-Dopa and carbidopa treatments. Our data lead us to confirm that L-Dopa may have a protective effect on dopaminergic cells especially at certain concentrations, in particular, toward the production of ROS and their toxic effects on DNA. Furthermore in the combined treatment, with induction of ROS following administration of H2O2, carbidopa is effective in reducing the damage caused by reactive oxygen intermediates both alone and in combination with L-Dopa

    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
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