1,721,020 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
In-Memory Database Query Energy Estimation: Modeling & Green Strategy Support
No full textThe miniaturization of electronic components, coupled with falling acquisition prices and increasing capacities, has led to the availability of many types of main memory data storage systems called In-Memory databases. Despite their inability to handle large volumes of data in memory, these systems offer considerable performance in query processing. This is due to the latency optimization of loading data from secondary memory. Nevertheless, their operation requires an execrable use of the main memory and also high energy consumption. With the torch of environmental sustainability being waved and the exorbitant energy cost, the development and application of energy reduction techniques within these systems is more urgent than ever. In this paper, we model the cost of energy consumption during query plan execution in an In-Memory database to develop energy-efficient approaches for query processing and benchmark tool designing
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
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
Enhancing Agricultural Practices Through Iot And Decision Tree Analytics: A Case Study On Autonomous Irrigation Management
No full textAgriculture, essential for meeting human needs, faces complex challenges related to variable environmental conditions, overuse of resources, and inefficient distribution processes. Precision agriculture emerges as an optimal solution by utilizing advanced technologies like the Internet of Things (IoT) to collect detailed data on agricultural conditions. With artificial intelligence-based techniques, it is possible to optimize production and reduce environmental impact. This study explores the use of technological paradigms such as the Internet of Things and Artificial Intelligence in agriculture, focusing on integrating decision trees for analysis and management. This approach could enable more effective management of agricultural variables such as temperature, humidity, and soil nutrients, providing farmers with a solid foundation for making informed decisions. Preliminary results demonstrate that integrating decision trees in precision agriculture can significantly improve the effectiveness and sustainability of the sector, providing valuable guidance for future smart agricultural practices
Digital Twin for Predictive Monitoring of Crops: State of the Art
No full textRecently, the use of digital twins in crop management has caught the attention of the agricultural sector. This technology is still in its early phases of deployment, and the state-of-the-art methodologies and adoption level of digital twins have not been thoroughly explored. To address this issue, this paper discusses the current trend of crop predictive monitoring using digital twin applications, focusing on the approaches used, adoption levels, and implementation challenges. Digital twins in crop management are still in the lab stage, and large-scale implementations in farming are not reported. Despite the benefits of increased crop productivity, the adoption of digital twins is hampered by challenges such as the complexity of modeling, poor high-speed Internet connectivity in rural areas, data security, significant investment costs, data accuracy, and a lack of knowledge about crop types and farming circumstances. Insights are provided to research academics, companies, and practitioners to help them understand the current state-of-the-art problems and future research prospects in the sector
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