1,721,045 research outputs found

    Effect of Asymmetric Infills on Seismic Performance of Reinforced Concrete Frame Buildings

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    This dataset stores the supporting data for the manuscript titled "Effect of Asymmetric Infills on Seismic Performance of Reinforced Concrete Frame Buildings". The manuscript is under review in the Journal of Earthquake Engineering. Abstract: "The torsion due to asymmetric placement of unreinforced masonry (URM) infills is often unnoticed because the stiffness and strength of the infills are usually ignored during design. This study estimates the effect of asymmetric placement of infills on the performance of 8-story reinforced concrete (RC) buildings designed for different code levels. Multiple stripe analysis (MSA) is used to assess the performance. The adverse effects of the infills generally overshadow the torsion introduced by the asymmetric layout, leading to consistently poor performance in buildings with more infilled frames. At higher intensities, most of the eccentricity is lost due to infill damage.

    Data for: Effect of Asymmetric Infills on Seismic Performance of Reinforced Concrete Frame Buildings

    No full text
    This dataset stores the supporting data for the manuscript titled "Effect of Asymmetric Infills on Seismic Performance of Reinforced Concrete Frame Buildings". The manuscript is under review in the Journal of Earthquake Engineering. Abstract: "The torsion due to asymmetric placement of unreinforced masonry (URM) infills is often unnoticed because the stiffness and strength of the infills are usually ignored during design. This study estimates the effect of asymmetric placement of infills on the performance of 8-story reinforced concrete (RC) buildings designed for different code levels. Multiple stripe analysis (MSA) is used to assess the performance. The adverse effects of the infills generally overshadow the torsion introduced by the asymmetric layout, leading to consistently poor performance in buildings with more infilled frames. At higher intensities, most of the eccentricity is lost due to infill damage.

    Fluorescent proteins: Crystallization, structural determination, and nonnatural amino acid incorporation

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    Fluorescent proteins have revolutionized cell biology and cell imaging through their use as genetically encoded tags. Structural biology has been pivotal in understanding how their unique fluorescent properties manifest through the formation of the chromophore and how the spectral properties are tuned through interaction networks. This knowledge has in turn led to the construction of novel variants with new and improved properties. Here we describe the process by which fluorescent protein structures are determined, starting from recombinant protein production to structure determination by molecular replacement. We also describe how to incorporate and determine the structures of proteins containing non-natural amino acids. Recent advances in protein engineering have led to reprogramming of the genetic code to allow incorporation of new chemistry at designed residue positions, with fluorescent proteins being at the forefront of structural studies in this area. The impact of such new chemistry on protein structure is still limited; the accumulation of more protein structures will undoubtedly improve our understanding and ability to engineer proteins with new chemical functionality

    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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