1,721,015 research outputs found

    A Relational Unsupervised Approach to Author Identification

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    In the last decades speaking and writing habits have changed. Many works faced the author identification task by exploiting frequencybased approaches, numeric techniques or writing style analysis. Following the last approach we propose a technique for author identification based on First-Order Logic. Specifically, we translate the complex data represented by natural language text to complex (relational) patterns that represent the writing style of an author. Then, we model an author as the result of clustering the relational descriptions associated to the sentences. The underlying idea is that such a model can express the typical way in which an author composes the sentences in his writings. So, if we can map such writing habits from the unknown-author model to the known-author model, we can conclude that the author is the same. Preliminary results are promising and the approach seems viable in real contexts since it does not need a training phase and performs well also with short texts

    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

    Influence of time to complete remission and duration of all-trans retinoic acid therapy on the relapse risk in patients with acute promyelocytic leukemia receiving AIDA protocols

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    Despite the impressive results obtained with standard chemotherapy, approximately 20% of acute promyelocytic leukemia (APL) patients undergo disease relapse thereby requiring salvage therapy. Few data is available on long-term prognosis in relation to time to complete remission (CR): we reviewed 142 patients treated with AIDA protocols and we found that 42 out of 142 (29.6%) patients achieved CR after 35 days (median time, 42 days). No significant differences in presenting features, including FAB subtype, type of PML/RARA transcript and relapse risk at presentation between the two patient groups achieving CR > or <35 days were revealed, except for male sex and older age that were significantly associated with delayed CR. Rate of relapse was 31% in patients with delayed CR compared to 17% in the group of patients who achieved CR<35 days (p=0.001), with a 5-year CIR of 29.6% compared to 12% (p=0.03). APL patients with delayed CR should be more closely monitored during follow-up for early identification of relapse and prompt administration of pre-emptive salvage therapy
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