1,720,978 research outputs found
Architectural Patterns for Software Design Problem-Solving in the Implementation of Federated Learning Structures Within the E-Health Sector
No full textCurrent research in artificial intelligence, including Machine Learning and Deep Learning, is driving innovation in various fields. In the healthcare sector, where considerable amounts of data are used for studies, early diagnosis and disease monitoring, the importance of addressing security and privacy issues is clear. Cloud Edge and Federated Learning, a more privacy-focused approach, allow algorithms to be trained without actual data exchange, using decentralized models. Recent studies show that prototypes trained with Federated Learning and Cloud Edge paradigms achieve reliable performance, generating robust models while preserving security and privacy. This study proposes a review focused on specific Patterns that, when applied to the design of Cloud Edge architectures within the healthcare sector, solve multiple problems, exploring challenges, implications and potential in this context. In particular, for each of the described Patterns, this paper will focus on the specific problem they face and present the actual solution, specifically in association with Federated Learning approaches
AN INTERACTIVE TRAINING MODEL AND QUALITY ASSURANCE IN A SCHOOL OF OCCUPATIONAL MEDICINE
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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
Control of biodeterioration in urban walls
Full text linkThe biodegradation is a natural action carried out by active organisms, and this is not only unavoidable but it represents a fundamental process of every ecosystem. When this process is acting on « valuable » objects, is named as Biodeterioration and it is particularly unfavourable when the object belongs to the Cultural Heritage field. Climatic factors (temperature, humidity, rain, sun exposure, and air pollutants) can establish favourable conditions for the development of several organisms on the surfaces, inducing first of all aesthetic damages (vegetative structures, coloured patches or patinas and crusts). Different approaches have been adopted to isolate, identify and quantify such wide group of organisms, and several methodologies and products have been used to eliminate and prevent such biological settlements. Structures, like the urban walls, placed in the open are more susceptible to attack by these organisms, pollution and vandalism. A multidisciplinary operation needs to ensure the longest possible recovery work. As part of this operation, the control of biodeteriogens and their negative effects on the walls is a complex problem of which the agronomic question is only one of the important components. The exact knowledge of the resistance of a monumental object is crucial for a suitable schedule maintenance. Taking into consideration that the process can never be stopped but only slowed down to a minimum with balanced prevention and intervention actions
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
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