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    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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    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

    Improving of deep neural networks success performances with novel methods

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    Yapay Sinir Ağları (YSA)'nın eğitilmesinde ağırlık değerlerinin güncellenmesi ve iyileştirilmesi, güncel bilimsel literatürde ele alınan önemli konulardan biridir. Ağırlık değerlerinin iyileştirilmesinde sinir ağının öğrenme başarısı eğitim yöntemine ve öğrenme sürecine bağlıdır. Bu tez çalışmasında, derin sinir ağları başarı performansı üç farklı yöntemle geliştirilerek sonuçları irdelenmiştir. Birinci uygulamada biyolojik sinir ağlarının çalışma mantığından esinlenerek oluşturulan YSA'ların farklı yöntemlerle nasıl iyileştirildikleri araştırılmıştır. Yapılan literatür taraması ve kıyaslamalarında YSA'ların meta sezgisel, hibrit ve özel yöntemlerle optimize edilebildikleri görülmüştür. Önerilen ilk uygulamada, YSA'ları iyileştirmek için istatistiksel veya deneysel yöntemler uygulanmıştır. YSA'ların yığın boyutu, eğitim tur sayısı, öğrenme oranı, momentum, ağırlık başlatma, nöron aktivasyon fonksiyonu, gizli katmandaki nöron sayısı kullanılarak 5 deney yapılmış ve sinir ağı başarımının kıyaslanan çalışmalara göre iyileştiği gösterilmiştir. İkinci uygulamada ise literatürde daha önce önerilen Aktivasyon Fonksiyon (AF)'larının avantajlı yönlerinden faydalanılarak geliştirilen ve Sigmoid-Gumbel (SG) olarak adlandırılan yeni bir hibrit AF önerilmiştir. SG'nin başarımını ölçmek için 4 deney yapılmıştır. Deneylerde SG'nin karşılaştırılması amacıyla Sigmoid, Gumbel, ReLU ve Adaptive Gumbel fonksiyonları iki ağ modeline uygulanmıştır. Bu ağ modellerinden ÇKA ikili sınıflandırma sınıf dengesizliği probleminde, ESA ise görüntü sınıflandırma problemine uygulanmıştır. Deney sonuçlarına göre önerilen SG'nin başarım oranının kıyaslanan AF'lere göre daha iyileştiği gösterilmiştir. Üçüncü çalışmada ise Gish adlı yeni bir AF önerilmiştir. Çeşitli derin öğrenme modellerinde başarılı sonuçlar elde etmek için Swish, Mish, Logish ve Smish gibi monotonik olmayan AF'lerin kullanıldığı bilinmektedir. Gish'in performansını değerlendirmek için farklı ağ modelleri ve veri kümeleri üzerinde çeşitli deneyler yapılmıştır. Elde edilen performansların Swish, Mish, Logish ve Smish'ten daha yüksek olduğu deneysel olarak gösterilmiştir.Updating and improving the weight values in the training of Artificial Neural Networks (ANNs) is one of the important issues discussed in the current scientific literature. The learning success of the neural network in improving weight values depends on the training method and learning process. In this thesis, the success performance of deep neural networks was developed by three different methods and the results were examined. In the first application, it was investigated how ANNs, which were inspired by the working logic of biological neural networks, were improved by different methods. In the literature review and comparisons, it was seen that ANNs can be optimized with meta-heuristic, hybrid and special methods. In the first proposed implementation, statistical or experimental methods were applied to improve ANNs. 5 experiments were conducted using the batch size, number of epochs, learning rate, momentum, weight initialization, neuron activation function, number of neurons in the hidden layer of ANNs, and it was shown that neural network performance was improved according to the compared studies. In the second application, a new hybrid Activation Function (AF) called Sigmoid-Gumbel (SG) was proposed, which was developed by taking advantage of the advantageous aspects of the AFs previously proposed in the literature. 4 experiments were conducted to measure the performance of SG. In order to compare SG in the experiments, Sigmoid, Gumbel, ReLU and Adaptive Gumbel functions were applied to two network models. Of these network models, MLP was applied to the binary classification class imbalance problem, and CNN was applied to the image classification problem. According to the results of the experiment, it was shown that the performance rate of the proposed SG was better than the compared AFs. In the third study, a new AF called Gish was proposed. It is known that non-monotonic AFs such as Swish, Mish, Logish and Smish are used to achieve successful results in various deep learning models. Various experiments have been conducted on different network models and datasets to evaluate the performance of Gish. It has been experimentally shown that the achieved performances are higher than Swish, Mish, Logish and Smish

    Author Under Sail The Imagination of Jack London, 1893-1902

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    In Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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