1,721,731 research outputs found
Faculty, Brian Thomas, 1991
No full textA photographic print of VCU professor Brian Thomas leaning on an Apple Macintosh computer.https://scholarscompass.vcu.edu/rg60/1075/thumbnail.jp
Hammond, Brian Thomas (1918–1998)
No full textBrian Thomas Hammond was a renowned surgeon and medical missionary from New Zealand.https://research.avondale.edu.au/esda/1173/thumbnail.jp
Papers of Brian Thomas Murphy
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/66992Lecture notes from the University of Melbourne undergraduate course. Subjects included applied mathematics, chemistry, geology, engineering, surveying, physics and town planning.111960
Acquisition: [1983.0050] "Papers of Brian Thomas Murphy
Differential shoplifting risks of fast-moving consumer goods
No full textIn 2011, shoplifting accounted for over $50 billion in costs to retailers. It has been estimated that, in 2012, stores had to “mark-up” the price of products by 10 to 15 percent to make up for losses. Thus, shoplifting is a burden paid for by stores and honest customers. Shoplifting is an opportunistic crime and shoplifters are attracted to expensive and luxurious products. However, there is a good deal of theft of lower-priced and everyday” products known as fast-moving consumer goods (FMCG). FMCG are found in drug, grocery and supermarket stores. Some examples of FMCG are toothpaste, razors, vitamins, deodorants, and cosmetics. Although these products are relatively inexpensive, they are purchased, consumed and shoplifted more than other products because of their nature and purpose. Their total dollar values of theft easily surpass other, less-frequently stolen but luxurious products. They are also the main products to be shoplifted and resold at illicit markets. A large amount of FMCG shoplifting is motivated by illicit market demand. Certain products are preferred over others because of their attributes. Models of theft preferences (e.g., CRAVED) have proven effective promise in explaining variation in general theft. To better understand variation in product theft, this study tests CRAVED the general model of theft preferences, and a new model of theft preferences – AT CUT PRICES – which is based on disposability attributes. This study produced three main findings: 1) CRAVED explained variation in FMCG theft better than the new, theoretical AT CUT PRICES model; 2) The availability and size of products were the strongest 4 predictors of theft in both models; and 3) An exploratory analysis found some evidence that some products, having roles or function in illicit drug use, are stolen at high rates. There are theoretical and policy implications derived from this research, including: 1) Designing and manufacturing products and their packaging so they are difficult to conceal; 2) Notifying stores to be aware of which products are stolen for their drug properties, so they can safeguard them appropriately; and 3) Informing stores and government agencies of the nature and extent of theft for commonly-abused nonprescription drugs.Ph. D.Includes bibliographical referencesIncludes vitaby Brian Thomas Smit
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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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