1,720,965 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

    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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    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

    Developing cost management system for Adil Foods

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    Applied project submitted to the Department of Business Administration, Ashesi University, in partial fulfillment of Bachelor of Science degree in Business Administration, May 2021Adil Foods Corporation is a food company that has recently stepped into the agricultural industry. The company operates in Multan, Pakistan, and has been operating since 2001. The company provides white meat and eggs to suppliers of the domestic market. The management of Adil Foods expressed that their business failed to achieve the profitability goal for the year 2020. Mr. Rashid, the CEO of Adil Foods, noted issues with the cost monitoring and data analysis. The tools used for data collection were structured interviews, observation, and the company’s financial & internal reports. The CEO, Financial manager, and production manager were interviewed. Framework analyses were used to analyze the data. The results revealed that the business failed to achieve its profitability goal due to a lack of data analyses. The lack of data analyses was leading to poor decision-making. The literature review explored functionalities, conceptual frameworks, and limitations of the Enterprise resource planning software (ERPs) and excel-based cost management system. The existing literature coupled with the primary research indicated that an excel-based cost management system is better for Adil Foods as it is cheaper and Adil Foods management is familiar with the software. The proposed solution is a tailor-made cost management system that uses variable costing and sensitivity analysis to compute valuable information and generate signals. The excel based cost management system also forecasts data which will assist managers in making rational and prompt decisions.Ashesi Universit

    Deep learning and its applications

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    Deep Learning draws its inspiration from Artificial Neural Networks which have evolved tremendously as a machine learning algorithm over the last decade since they were initiated in the late 1950’s. A network of neurons which is responsible for providing sensations in the human body is an analogy to computational neural networks. Deep Learning is a computational model composed of multi-layer neural network. The capability of Deep Learning models to learn abstract representations from unprocessed data sets them apart from the conventional machine learning models. These methods have dramatically improved machine learning applications including speech recognition, object detection and visual recognition. The aim of this research survey is to study and understand the fundamentals of deep learning neural networks and how they are being utilized to the benefit of scientific and business community
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