1,720,962 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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    Penyisipan Data Secara Reversible Pada Gambar Medis Menggunakan Metode Difference Expansion of Quad dan Fungsi Modulus

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    The rapid advancement of the Internet of Things (IoT) brings convenience across various domains, but raises its own challenges, particularly concerning data security and privacy. Cryptography and steganography are two techniques used to secure data. Cryptography protects information by encrypting messages, while steganography hides the existence of data in other media. The embedding of data into other media like medical images necessitates specialized approaches to prevent potential distortion that may compromise their integrity. Distortion in medical images could lead to erroneous diagnoses. In this study, we introduce a reversible data embedding technique capable of returning storage media to its original state without distortion, utilizing the Difference Expansion of Quad and Modulus Function. This approach employs 2×2 pixel blocks to embed 3-bits of data. Our experiments on six medical images demonstrate that the proposed method offers substantial embedding capacity while maintaining high visual quality. The embedding capacity can reach 0.4834 bits per pixel (bpp) with a PSNR of 49.4330 dB. Experimental findings indicate that the proposed method outperforms previous techniques

    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

    Reversible Watermarking pada Audio Digital Menggunakan Metode Difference Expansion dan Modulus Function

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    Pesatnya perkembangan teknologi informasi dan komunikasi memberikan kemudahan dalam segala aspek kehidupan, tetapi juga menimbulkan tantangan tersendiri, terutama terkait keamanan data dan privasi. Kriptografi dan steganografi merupakan dua teknik yang digunakan untuk melindungi data. Kriptografi mengamankan informasi dengan mengenkripsi pesan, steganografi menyembunyikan keberadaan data pada media lain. Penyisipan data pada media lain seperti gambar, audio, dan video membutuhkan metode khusus agar tidak terjadi kerusakan pada media tersebut setelah ekstraksi data. Pada penelitian ini kami mengusulkan metode penyisipan data secara reversible yang dapat mengembalikan media penampung kedalam bentuk aslinya tanpa terjadi kerusakan menggunakan metode Difference Expansion dan Fungsi Modulus. Metode ini diimplementasikan pada audio digital dengan menyisipkan data pada selisih 2-bit LSB pasangan sampel audio. Berdasarkan eksperimen yang kami lakukan pada 15 audio digital, metode yang diusulkan memiliki kapasitas penyisipan yang besar dengan kualitas audio yang baik. Kapasitas penyisipan dari metode yang diusulkan dapat mencapai 0,2515 bps (bit per sample) dengan PSNR 103,5869 dB. Hasil eksperimen menunjukkan bahwa metode yang diusulkan memiliki kinerja yang unggul dibandingkan dengan metode sebelumnya
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