1,720,971 research outputs found
Code Edit Recommendation Using a Recurrent Neural Network
No full textWhen performing software evolution tasks, developers spend a significant amount of time looking for files to modify. By recommending files to modify, a code edit recommendation system reduces the developer’s navigation time when conducting software evolution tasks. In this paper, we propose a code edit recommendation method using a recurrent neural network (CERNN). CERNN forms contexts that maintain the sequence of developers’ interactions to recommend files to edit and stops recommendations when the first recommendation becomes incorrect for the given evolution task. We evaluated our method by comparing it with the state-of-the-art method MI-EA that was developed based on the association rule mining technique. The result shows that our proposed method improves the average recommendation accuracy by approximately 5% over MI-EA (0.64 vs. 0.59 F-score)
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Development and Application of a Nostalgia Scale for Sport Tourism: A Multilevel Approach
No full textNostalgia is best described as a sentimental and bittersweet yearning for a positive and pleasant past, particularly when juxtaposed with an unsatisfying present and uncertain future. One\u27s positive memories surely influence the evocation of nostalgia, and an individual\u27s negative feelings for the present or future are also related to nostalgia, since a person cannot return to the past. In other words, both positive and negative feelings are associated with nostalgia, and it is called a bittersweet emotion. In many cases, people are influenced by their past memories when they decide to attend sports events. As a result, individuals have their own attitudes based on their past memories, and it may affect individual\u27s behavioral intentions. The NCAA football game is one of the most popular and historic sporting events in United States. According to U. S. Census Bureau (n.d.), the NCAA College football drew the second largest number of spectators in the United States from 1990 to 2010. The population of this study is people who attended Clemson football games. Specifically, this study surveyed participants who have had a positive past experience at the Clemson football home games, and a systematic sampling technique was used for gathering the data. The goal of this study was to develop a comprehensive conceptual framework of nostalgia in the context of sport tourism and to provide a valid and reliable nostalgia scale for sport tourism (NSST) based on a suggested classification of nostalgia in sport tourism. Another aim of this study was to verify the developed nostalgia scale for sport tourism by testing the relationship among nostalgia (independent variable), attitude (mediating variable), and behavioral intentions (dependent variable). To clarify the group effects, this study uses multilevel structural equation modeling. The results of this study indicated that attitude mediates the relationship between nostalgia and behavioral intentions in multilevel structural equation model. In addition, this study discusses how nostalgia plays a role in sport tourism and suggests the direction for sustainable development of nostalgia sport tourism
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