1,721,207 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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    Synthetisierung von Audiosignalen mithilfe Neuronaler Netze am Beispiel von Vogelgesang

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    Das Ziel der vorliegenden Arbeit ist die Konzeption, Implementierung und Evaluation einer Architektur auf Basis Neuronaler Netze für die Synthese von Vogelgesang. Die hier entwickelte Architektur besteht aus zwei Neuronalen Netzen: einem Wasserstein-GAN, der Mel-Spektrogramme mit Vogelgesang erzeugt und einem für die Sprachsynthese vortrainierten Vocoder, der diese Mel-Spektrogramme in Audiosignale in Wellenform umwandelt. In diesem Zusammenhang wird die Funktionsweise von Generative Adversarial Networks (GANs) und die darauf aufbauenden Wasserstein-GANs beschrieben. Anschließend werden Evaluationsmetriken für die Beurteilung der erzielten Ergebnisse ausgearbeitet. Im Kern geht die Arbeit der Frage nach, ob die Architektur bestehend aus den Komponenten WGAN und Vocoder sich für die Synthese von Vogelgesang eignet. Dazu werden verschiedene Konfigurationen dieser Architektur trainiert und die erzielten Ergebnisse quantitativ und qualitativ evaluiert. Im Rahmen der quantitativen Evaluation wird der Frage nachgegangen, ob der FID-Score ein plausibler Indikator für die Bewertung von generiertem Vogelgesang ist. Die qualitative Evaluation erfolgt durch den Autor der Arbeit über den Vergleich von generierten Daten mit Daten aus dem Trainingsdatensatz. Als Grundlage dieses Vergleichs dienen ermittelte Nearest Neighbours von generierten Daten zu typischen Mustern aus dem Trainingsdatensatz. Die durchgeführte Evaluation zeigt, dass die vorgestellte Architektur die Synthese von einfachen Signalen des Vogelgesangs ohne Qualitätsverlust ermöglicht. Bei komplexen Signalen sind erkennbare Qualitätsunterschiede festzustellen. Zusätzlich wird gezeigt, dass der FIDScore einen validen Indikator für das Messen des Trainingsverlaufs und der Bewertung der synthetisierten Mel-Spektrogramme darstellt. Die Ergebnisse der Arbeit können als Ausgangspunkt für weiterführende Forschungsarbeiten dienen. Die erzeugten Ergebnisse und Implementationen sind für die Öffentlichkeit bereitgestellt.The goal of this paper is to design, implement, and evaluate a neural network-based architecture for bird song synthesis. The developed architecture consists of two neural networks: A Wasserstein GAN that generates mel spectrograms of bird song and a vocoder, pre-trained for speech synthesis, that converts these spectrograms into audio signals. In this context, Generative Adversarial Networks (GANs) and Wasserstein GANs are described and based on this evaluation metrics for the assessment of the obtained results are elaborated. In essence, this thesis addresses the question of whether the architecture consisting of the components WGAN and Vocoder is suitable for the synthesis of bird song. For this purpose, different configurations of this architecture are trained and the obtained results are quantitatively and qualitatively evaluated. In the quantitative evaluation, the question of whether the FID score is a plausible metric for the evaluation of generated bird song is investigated. The qualitative evaluation is done by the author of the paper by comparing nearest neighbors of generated data to typical patterns from the training dataset. The evaluation shows that the presented architecture allows the synthesis of simple bird song without quality loss. More complex signals show a noticeable difference in quality. In addition, it is shown that the FID score is a valid indicator for measuring the training progress and the evaluation of the synthesized mel spectrograms. The results of the work can serve as a starting point for further research. The generated results and implementations have been made available to the public

    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
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