1,720,966 research outputs found
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
Enhancement of the Silicon Nanocrystals’ Electronic Structure within a Silicon Carbide Matrix
Get PDFUsing plasma-enhanced chemical vapor deposition (PECVD), a mixed gas of silane (SiH4) and methane (CH4) was diluted with hydrogen (H2) to produce thin films of silicon nanocrystals embedded in a silicon carbide (SiC) matrix. This method prevents the co-deposition of SiH and SiC from high-temperature annealing procedures. This study experimentally explores the improvement of the electronic structure by adjusting two processing parameters according to classical nucleation theory (ratio of SiH4 to CH4 and working gas pressure). The deposited films were examined using ellipsometry spectroscopy, X-ray diffraction, scanning electron microscopy, atomic force microscopy, and photoluminescence to determine grain size, crystal volume fraction, topography, and bond configurations. The results show that increasing the working gas pressure can increase the density of SiC, while increasing the ratio of SiH4 to CH4 can only produce larger grain sizes. This is consistent with how SiC works and grows. Without using a high-temperature annealing procedure, this technique can improve the electrical structure of SiC contained in the SiC matrix formed by PECVD
Fabrikasi Sel Surya Berbasis A-Si:H Lapisan Intrinsik Ganda (P-Ix-Iy-N) Dengan Pecvd Dan Analisis Efisiensinya
No full textTujuan utama pada penelitian ini adalah memfabrikasi sel surya lapisan intrinsik ganda (P-ix-iy-N) a-Si:H dengan menggunakan PECVD. Sel surya lapisan intrinsik ganda (P-ix-iy-N) a-Si:H ditumbuhkan di atas substrat glass Indium Tin Oxide (ITO). Untuk mendapatkan lapisan intrinsik ganda dilakukan dengan pengenceran plasma silan oleh hidrogen, dengan rasio perbandingan hidrogen dan silan, R=H2/SiH4 bervariasi, sementara untuk lapisan ekstrinsik tipe-n dan tipe-n dibuat tetap untuk masing-masing sampel. Kemudian pada sampel dilapisan logam pada bagian belakang yang berperan sebagai kontak listrik dan reflector cahaya. Selanjutnya pada masing-masing sampel dikarakterisasi atau dicari sifat fisik yaitu morfologi ketebalan, sifat optik yaitu bandgap, sifat listik yaitu konduktivitas listrik dan karakterisasi I-V sel surya lapisan intrinsik ganda (P-ix-iy-N) a-Si:H dengan sun simulator dan cahaya matahari. Dari pengukuran konduktivitas listrik dari masing-masing sampel terlihat bahwa, fotorespon (ph/pd) lapisan ekstrinsik yang merupakan rasio konduktivitas terang terhadap konduktivitas gelap menunjukkan nilai yang tidak lebih dari 101, sedangkan fotorespon (ph/pd) lapisan instrinsik dapat mencapai 105. Berdasarkan karakterisasi I-V sel surya lapisan intrinsik ganda (P-ix-iy-N) a-Si:H yang diperoleh dalam penelitian ini, mendapatkan efisiensi konversi yang cukup baik (8,86%).
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The main purpose of this research is to fabricate double intrinsic layer (P-ix-iy-N) a-Si:H solar cells by using PECVD. The double intrinsic (P-ix-iy-N) a-Si:H layer was grown on the glass substrates of indium tin oxide (ITO). To produce the double intrinsic layers were achieved by employing a plasma of silane diluted with hydrogen, having various ratio of R=H2/SiH4. Meanwhile, the extrinsic layer of n-type and p-type were made constant for each sample. Sample were then characterized covering properties of, surface morphology, thickness, bandgap, electrical conductivity and I-V curves (photovoltaic performance) by using a sun simulator and sunlight. It was obtained that the photo-response (ph/pd) of the extrinsic layer is around 10, while that of instrinsic one can reach about 105. Further, based on the I-V measurement, the highest efficiency of the (P-ix-iy-N) a-Si:H solar cells is 8.86%
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
Implementation of CNN-Based Computer Vision for Personal Protective Equipment Detection in the Oil and Gas Industry
Get PDFDue to the inherently hazardous nature of operations in the oil and gas industry, strict compliance with safety protocols, including the obligatory use of Personal Protective Equipment (PPE), is essential for all workers. Nonetheless, monitoring PPE compliance through manual observation remains inefficient and prone to error, especially in expansive, intricate work settings. To address this challenge, there is a growing demand for an intelligent system capable of accurately and instantaneously detecting PPE use. This research introduces a Computer Vision approach employing Convolutional Neural Networks (CNNs) to identify PPE usage among workers within oil and gas environments. The system leverages a comprehensive dataset of images of workers wearing various types of PPE, including helmets, safety vests, and face masks. These images are used to train a CNN model designed to distinguish and classify the safety equipment. Experimental results demonstrate that the proposed CNN model achieves an impressive 94.2% detection accuracy on the validation data and maintains reliable performance across varying lighting conditions and camera angles. Moreover, the system can identify PPE violations in under 1 second per frame, making it suitable for real-time surveillance applications. As a result, this solution offers a promising enhancement to workplace safety oversight, with the potential to markedly reduce accident rates in the industry. The findings also pave the way for future integration with IoT-based monitoring platforms and further refinement of model adaptability across diverse industrial scenarios. The primary innovation of this study lies in the optimized deployment of CNNs tailored to the challenging conditions of oil and gas sites, delivering high detection precision and rapid response times. This area has seen limited exploration in existing literature
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
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