1,720,955 research outputs found

    How College Campuses Are Using Social Media During Severe Weather Events

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    This study explores how college campuses are using social media during severe weather events. This topic surfaced after a tornado devastated Moore, Oklahoma in May 2013 and those displaced flocked to the University of Oklahoma campus after a post made on Twitter went viral prior to an official message being sent out by the university. In order to further explore this topic, a qualitative phenomenological case study was conducted at the following sites: University of Alabama, Missouri Southern State University, University of Oklahoma, and Florida State University. This study included observations of social media posts on Facebook and Twitter on various parameters at each of the sites, document collection of social media and communications policies at each of these sites, and interviews with key people on each campus, including social media managers, university police, and various other student affairs personnel. Through the study, themes emerged, and a series of best practices were identified to allow college campuses to better serve their students during severe weather crisis situations that may impact their campuses

    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

    Shortage to Surge - Studying the Post-COVID-19 Guitar Retail Market

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    The COVID-19 pandemic was one of the most catalyzing events of the 21st century, leading to supply chain disruptions, lifestyle changes, and a massive shift towards digital technologies. During the COVID-19 lockdown, many people had more time, and over 16 million people learned guitar in the first 2 years of the pandemic. According to a study by Fender, 62% of these new guitar learners cited the pandemic as their primary reason for learning the instrument. However, pandemic policies and supply chain disruptions meant that many guitar retailers were unable to satisfy demand, and backorders began to accumulate. Since both guitars and clothing in the past have been retail items that consumers preferred to buy in person rather than online, this student-led research project seeks to compare the guitar and clothing retail markets before and after the COVID-19 pandemic (2019-2023) to discover guitar market category trends and predict future market growth to better inform manufacturers, retailers, and consumers. The study will include a literature review, hypothesis testing, a preliminary study of the datasets through summary statistics and basic visualizations (using Tableau, Python, and R), and several iterations of predictive models (regression, clustering, neural networks, etc.). The clothing retail data will be procured from the Information Systems Department in the Walton College of Business, and the guitar retail data will be procured from 2 anonymous US music retailers. After conducting interviews with industry experts at the NAMM (National Association of Music Merchants) show in California, the modeling results will be compared with the interviews, and an appropriate final model will be selected to predict the guitar retail market’s growth in the next five years.https://scholarworks.uark.edu/hnrcsturpc25/1026/thumbnail.jp

    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

    Shortage to Surge - Studying the Post-COVID-19 Guitar Retail Market

    Get PDF
    The COVID-19 pandemic was one of the most catalyzing events of the 21st century, leading to supply chain disruptions, lifestyle changes, and a massive shift towards digital technologies. During the COVID-19 lockdown, many people had more time, and over 16 million people learned guitar in the first 2 years of the pandemic. According to a study by Fender, 62% of these new guitar learners cited the pandemic as their primary reason for learning the instrument. However, pandemic policies and supply chain disruptions meant that many guitar retailers were unable to satisfy demand, and backorders began to accumulate. Since both guitars and clothing in the past have been retail items that consumers preferred to buy in person rather than online, this student-led research project seeks to compare the guitar and clothing retail markets before and after the COVID-19 pandemic (2019-2023) to discover guitar market category trends and predict future market growth to better inform manufacturers, retailers, and consumers. The study will include a literature review, hypothesis testing, a preliminary study of the datasets through summary statistics and basic visualizations (using Tableau, Python, and R), and several iterations of predictive models (regression, clustering, neural networks, etc.). The clothing retail data will be procured from the Information Systems Department in the Walton College of Business, and the guitar retail data will be procured from 2 anonymous US music retailers. After conducting interviews with industry experts at the NAMM (National Association of Music Merchants) show in California, the modeling results will be compared with the interviews, and an appropriate final model will be selected to predict the guitar retail market’s growth in the next five years.https://scholarworks.uark.edu/hnrcsturpc25/1026/thumbnail.jp
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