1,720,969 research outputs found

    Type-Safe Generic Differencing of Mutually Recursive Families

    No full text
    The UNIX diff tool, which computes the differences between two files in terms of a set of copied lines, is widely used in software version control. The fixed lines-of-code granularity, however, is sometimes too coarse and obscures simple changes, i.e., renaming a single parameter triggers the whole line to be seen as changed. This dissertation explores techniques and implementations for detecting and reasoning about changes in a finer granularity

    Going Beyond Counting First Authors in Author Co-citation Analysis

    Get PDF
    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

    Heterogeneous binary random-access lists

    Get PDF

    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 PDF
    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

    Get PDF
    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

    No full text
    Nao informado

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

    No full text
    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

    Repetition sans Ennui: Human and Algorithmic Discovery of Patterns in Music

    No full text
    Finding patterns is a common act in human intellectual endeavours, and it is a complex challenge tackled by both humans and algorithms. For several decades, musical pattern discovery algorithms have been researched, and researchers have been comparing human-annotated patterns to algorithmic outputs, as well as algorithms to algorithms. However, traditional metrics have not fully captured the rich insights that these comparisons could offer. To contribute to the comparisons between musical pattern discovery mechanisms, this dissertation spans seven chapters. Chapter 1 provides the background of the dissertation, including an overview, research approaches, contexts, scope, thesis statement, and an enumeration of contributions. Chapter 2 delves into the concept of musical patterns and explores the diverse landscape of musical pattern discovery algorithms. Our exploration reveals the complexities surrounding the definition of patterns and the multifaceted nature of these algorithms. Chapter 3 is dedicated to the collection tools for human-annotated musical patterns and the analysis of factors that influence annotations. We observe that musical background impacts annotated patterns; tool interfaces and automatic matching affect the length and frequency of annotations. Chapter 4 introduces four methods tailored for comparing musical pattern discovery algorithms. These methods provide novel insights into the discrepancies between human-annotated patterns and their algorithmically extracted counterparts. These methods provide a more comprehensive approach to comparing algorithms, aiding in the interpretation and evaluation of algorithmic outputs. Chapter 5 implements Pattrans, a Domain-Specific Language (DSL) in the functional language Haskell for comparing musical pattern occurrences through musical transformations. We delve into its design for uncovering the relations between pattern occurrences in a modular way. Chapter 6 employs Pattrans to scrutinise transformations between occurrences of musical patterns. Amongst other findings, we find that human-annotated patterns tend to have a higher proportion of exact repetitions and that different algorithms exhibit varying proportions of transformation compared to human annotations, contributing to a more nuanced view of pattern comparisons. In summary, this dissertation not only contributes fresh perspectives to the comparison of musical patterns, but also introduces methods and tools that enrich the field of musical pattern discovery. We examine the concept of musical pattern, conduct pattern annotation experiments, and visualise and analyse human-annotated and algorithmically extracted patterns. In addition, we recognise the potential of the musical transformations that lie behind repeating and varying pattern occurrences. Using Haskell, we model the relationship between patterns and transformations. Following this, we investigate how to employ transformations to relate and classify musical pattern occurrences. Throughout our journey, we advocate for a more comprehensive approach to pattern comparison, extending beyond traditional metrics
    corecore