1,720,982 research outputs found

    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

    Radiation efficiency of beam-stiffened plate: experimental setup and preliminary results

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    Beam stiffening technique has been widely used in engineering application to minimize the vibration of structures, to increase its loading capacity and to prevent the structure from buckling. However, study on the sound radiation from the beam stiffened plate is still lacking. This paper mainly presents the experimental setup to measure the radiation efficiency of three-beam and the five-beam stiffened plates. The treatment for the test plate is discussed. Reciprocity technique was employed to measure the sound power. In general, the measured results for the acoustic power show good agreement with those from the proposed mathematical model. Measured radiation efficiencies overestimate the simulation results of high frequencies due to error in the mobility measurement

    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

    Author Index

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    Regression analysis framework for material selection of natural fibre-reinforced polymer composites

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    Material selection is one of the important processes to the automakers in producing and manufacturing parts for the automotive industry. The conventional material selections tool of Multiple Criteria Decision Making (MCDM) is based mostly on inconsistent judgement and preference subjectivity over the process selection. The biasness through the process selection can produce unreliable final decision. By using Statistical Package for Social Science (SPSS), it can manage quick processing, huge volume of data and save time and cost. In this study, a regression analysis framework is introduced to select the natural fibres (NF), polymer matrix and composites. Simple and multiple linear regression is used to construct statistical modelling of natural fibre reinforced polymer composite (NFRPC). In advanced approach, stepwise regression is used to construct the best regression modelling with significant mechanical properties that influence the performance score (PS) of the materials. Inferential statistical methods, such as estimation, hypothesis testing and confidence interval, are used to test the sample data of NFRPC to make a conclusion on the final decision. In addition, Pearson coefficient of correlation (r) is used to identify the relationship between the mechanical properties and PS. In addition, Multicollinearity issue is resolved by calculating the Tolerance (Tol) and Variance Inflation Factors (VIF). Three types of errors, such as mean absolute error (MAE), mean square error (MSE) and root mean squared error (RMSE) are used to evaluate the estimation process. All statistical measurements in stepwise regression are used during the screening process on material selection. The ranking process will finalize the material based on the maximum value of PS and minimum value of estimation error. Product design specification (PDS) of hand-brake lever parking is used as a case study to select the natural fibre, polymer matrix and the composite at the early stage. The ideal composition of fibre loading that optimises the PDS is identified by using analytical approach, namely the rule of mixtures (ROM), at the final stage. The results reveal that regression modelling can assist the design engineers to identify the best material in automotive application. Tensile strength (TS) is the significant mechanical property in the model proposed by stepwise regression to evaluate PS. The adequacy checking on the statistical model is performed by plotting the normal probability of regression standardized residual and normality plot. Regression analysis on 12 types of natural fibres and 10 types of polymers matrix shows that the top three best materials were coir, kenaf, cotton and polypropylene (PP), polystyrene (PS), high-density polyethylene (HDPE), respectively, to manufacture hand-brake lever parking. The estimation of density, Young’ modulus and tensile strength in various fibre loading using simplest micromechanical model showed kenaf/PS composite with 40% fibre loading offer better composition to manufacture hand-brake lever parking. A well corporation between regression and analytical approach is proven. Overall, this work can act as a guideline for the selection of the most suitable natural fibre, polymer matrix and composite candidate for an engineering application. This study has contributed to material selection process field which can provide more options of method to be chosen by practitioners especially for automotive product development application

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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