1,721,148 research outputs found

    Gene therapy: the state of the art and future directions

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    Gene therapy, because of its aim to eradicate the causes rather than the symptoms of diseases, is believed by many to be the therapy of the future. The problems of developing clinically viable gene therapeutic approaches and designing safe and efficient gene delivery reagents are inseparable: shortcomings in one are going to affect adversely the success of the other. It is generally accepted that the major impediment to the successful application of gene therapy for the treatment of a range of dis-eases is not a paucity of therapeutic genes, but the lack of efficient non-toxic gene delivery systems. Transfection vectors com-monly used in gene therapy are mainly of two types: viral and non-viral. Non-viral gene delivery is currently the subject of increasing attention because of its relative safety and its simplicity of use; however, its use is still far from being ideal due to its comparatively low efficiency. The purpose of this review is to give an overview of the current knowledge concerning the assembly of lipoplexes and the trafficking of lipoplexes into cells, as well as to underscore the advantages and disadvantages of lipidic gene carriers among non-viral gene delivery systems

    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
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