1,720,971 research outputs found

    Effect of interacting nonsteroidal anti-inflammatory agents (NSAIDs) and opioids on mood: pharmacodynamic considerations in misuse and abuse

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    Clinical reality shows that pharmacodynamic interactions, as well as the pharmacokinetic interactions, might be used to increase effectiveness when treatment resistance to monotherapy presents. Nonsteroidal anti-inflammatory agents and opioids are among the most common drugs used in clinical practice to treat a heterogeneous spectrum of conditions, ranging from inflammation and fever to pain. Both classes of drugs appear to have mood-altering effects. Thus, their use, individually or concomitant, might determine an alteration of the clinical course of mood disorders, with the manifestation of which might be more severe in those patients who present comorbid substance use disorders and therefore are more prone to abusing/misusing these treatments. In this chapter we aim to provide a series of pharmacodynamic considerations concerning the interacting effects of nonsteroidal anti-inflammatory agents and opioids, and identify the implications of this pharmacodynamic synergism on mood and on the risk of developing abuse and misuse

    Divergent evolution of cis-acting peroxisome proliferator-activated receptor elements that differentially control the tandemly-duplicated fatty acid-binding protein genes, fabp1b.1 and fabp1b.2, in zebrafish

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    Gene duplication is thought to facilitate increasing complexity in the evolution of life. The fate of most duplicated genes is nonfunctionalization: functional decay resulting from the accumulation of mutations. According to the duplication-degeneration-complementation (DDC) model, duplicated genes are retained by subfunctionalization, where the functions of the ancestral gene are sub-divided between duplicate genes, or by neofunctionalization, where one of the duplicates acquires a new function. Here, we report the differential regulation of the zebrafish tandemly-duplicated fatty acid-binding protein genes, fabp1b.1 and fabp1b.2 by peroxisome proliferator-activated receptors (PPAR). fabp1b.1 mRNA levels were induced in tissue explants of liver, but not intestine, by PPAR agonists. fabp1b.1 promoter activity was inducedto a greater extent by rosiglitazone (PPARγ-selective agonist) compared to WY 14,643 (PPARα-selective agonist) in HEK293A cells. Mutation of a peroxisome proliferator response element (PPRE) at -1,232 bp in the fabp1b.1 promoter reduced PPAR-dependent activation. fabp1b.2 promoter activity was not affected by PPAR agonists. Differential regulation of the duplicated fabp1b promoters may be the result of PPRE loss in fabp1b.2 during a meiotic crossing-over event. Retention of PPAR inducibility in fabp1b.1 and not fabp1b.2 suggests unique regulation and function of the fabp1b duplicates.The presentation of the authors' names and (or) special characters in the title of the pdf file of the accepted manuscript may differ slightly from what is displayed on the item page. The information in the pdf file of the accepted manuscript reflects the original submission by the author

    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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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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