1,720,979 research outputs found

    Voting fuzzy k-NN to predict protein subcellular localization from normalized amino acid pair compositions

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    There are a huge number of protein sequences in databanks whose functions are not known. Since the biological functions of these proteins are closely correlated with their subcellular localization, it is important to develop a system to automatically predict subcellular localization from sequences for large-scale genome analysis. In this paper, we first propose a new formula to estimate the composition of amino acid pairs for feature extraction, and then we present a voting scheme that combines a set of fuzzy k-nearest- neighbor (k-NN) classifiers to predict subcellular locations. In order to detect sequence-order features, individual classifier is constructed using different types of features, including amino acid and amino acid pair compositions. We apply our method to several datasets and significant improvements are achieved

    Use of an Adaptive Window in PID-plus Bang-Bang Control : A Motor Control Experiment

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    PID-type controllers have been widely used in many industrial applications. Regulation properties of those can be improved through the addition of the Bang-Bang action. In spite of the potentials of this PID-plus Bang-Bang controller, their regulation properties are still limited if a fixed window limit is used in selection of a control action between PID and Bang-Bang action. Thus, this paper proposes an approach to improving regulation properties. Our approach changes window limits adaptable to plant dynamics by use of a Gradient Based Prediction Model. We experimented our control scheme with a DC servo-motor system. It has been shown through experiment that our control scheme outperformed than existing one in terms of overshoot, rise time and settling time.The authors would like to thank reviewers. Their helpful comments enalble us to improve the quality of this paper

    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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