1,721,258 research outputs found

    Plan of the eastern division of the Luddenham Estate [cartographic material] : to be sold by auction by Mr. R.P. Richardson /

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    Plan of portions of estate for sale showing village of Luddenham, Lawsons Inn, tracks, dams, fences, gates, shed, barn and names of some landholders.; Table of Reference to allotments and acreage.; Also available in an electronic version via the Internet at: http://nla.gov.au/nla.map-f813; Ferguson Collection Map F 813

    Plan of the central & western divisions of Luddenham [cartographic material] : to be sold by public auction by Mr. R.P. Richardson /

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    Plans of portions of Luddenham estate showing dam, mill and brew house on Nepean River, gardens, vineyard, carriage road, fences, gates and names of landholders.; Also available in an electronic version via the Internet at: http://nla.gov.au/nla.map-f814; Ferguson Collection Map F 814

    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

    Tensor-variate Gaussian process regression for efficient emulation of complex systems: comparing regressor and covariance structures in outer product and parallel partial emulators

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    Multi-output Gaussian process regression has become an important tool in uncertainty quantification, for building emulators of computationally expensive simulators, and other areas such as multi-task machine learning. We present a holistic development of tensor-variate Gaussian process (TvGP) regression, appropriate for arbitrary dimensional outputs where a Kronecker product structure is appropriate for the covariance. We show how two common approaches to problems with two-dimensional output, outer product emulators (OPE) and parallel partial emulators (PPE), are special cases of TvGP regression and hence can be extended to higher output dimensions. Focusing on the important special case of matrix output, we investigate the relative performance of these two approaches. The key distinction is the additional dependence structure assumed by the OPE, and we demonstrate when this is advantageous through two case studies, including application to a spatial-temporal influenza simulator

    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

    The influence of gender and anxiety on mathematics performance, 1993

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    The purpose of this study was to investigate the effect of the interference of mathematics anxiety on college students assigned to remediation classes and to determine low anxiety and gender influence on mathematics performances. The instruments used in this study consisted of a questionnaire for collecting a wide range of demographic information as well as other data relative to mathematics preparation in career plans. The Mathematics Anxiety Scale (MAS) was administered to assess feelings of anxiety, dread, nervousness, and associated body symptoms related to anxiety during mathematics, and a Pre-Test/Post-Test to measure mathematics performance for both male and female students assigned to remediation classes. An Analysis of Variance with three factors (group treatment, gender, pre/post measures) was calculated and only the repeated measure was found to be significant. Anxiety tended to significantly decrease between the pre and post measurements while performance increased significantly between pre and post measurements. None of the complex interactions between gender, performance, and anxiety were significant. In fact, there were no significant differences among the three groups and none between male and female genders

    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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