1,720,968 research outputs found
Partículas de oxido de hierro com prototipo de agente de contraste superparamagnético para las imágenes hepáticas obtenidas con la técnica de resonancia magnética nuclear / Guillermo Elizondo Riojas.
No full textPartículas de oxido de hierro com prototipo de agente de contraste superparamagnético para las imágenes hepáticas obtenidas con la técnica de resonancia magnética nuclear
Full text linkForging Connections in Latin America to Advance AI in Radiology
No full textThe first Latin American Meeting on Artificial Intelligence in Healthcare was held during the 2022 Jornada Paulista de Radiologia (JPR), the annual radiology meeting in São Paulo State. The event was created to foster the discussion among Latin American countries about the maturity, challenges, and opportunities in developing and using AI in those countries. Technological improvements in artificial intelligence (AI) have created high expectations in health care. AI is recognized increasingly as a game-changer in clinical radiology. To counter the fear that AI would “take over” radiology, the program included activities to educate radiologists. The development of AI in Latin America is on its early days, but although there are some pioneer cases, many regions still lack world-class technological infrastructure and resources. Legislation, regulation and public policies in data privacy and protection, digital health and AI are recent advances in many countries. The meeting program was developed with a broad scope strategy, with expertise from different countries, backgrounds, and specialties, with the objective to ensure all levels of maturity (from basic concepts to advanced techniques), perspectives (clinical, technical, ethical, and business/management) and specialties (both informatics/data science experts and the usual radiology clinical groups). It was an opportunity to connect with peers from other countries and share lessons learned about AI in health care in different countries and contexts.Fil: Chaves, Hernán. Fleni. Departamento de Diagnóstico por Imágenes; Argentina.Fil: Campos Kitamura, Felipe. Diagnósticos da América SA–Dasa. Department of Applied Innovation and AI; Brasil. Universidade Federal de São Paulo. Department of Diagnostic Imaging; Brasil.Fil: Nascimento, Felipe Barjud Pereira Do. Hospital Israelita Albert Einstein. Department of Radiology and Imaging Diagnosis; Brasil.Fil: Elizondo-Riojas, Guillermo. Universidad Autónoma de Nuevo León. University Hospital; México.Fil: Henríquez Leighton, Héctor. Universidad de los Andes. Department of Radiology; Chile.Fil: Salinas-Miranda, Emmanuel. University of Toronto. Joint Department of Medical Imaging. Lunenfeld Tanenbaum Research Institute; Canadá.Fil: Júlio, Thiago. Colombian Association of Radiology. Artificial Intelligence Committee. Department of Informatics; Colombia.Fil: da Rocha, Antônio José. Colombian Association of Radiology. Artificial Intelligence Committee. Department of Medical Sciences; Colombia. Sociedade Paulista de Radiologia. Department of Neuroradiology; Brasil.Fil: Nomura, César Higa. Superintendent of Diagnostic Medicine at Hospital Sírio-Libanês; Brasil
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
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