ECATI - Artigos de Revistas Internacionais com Arbitragem Científica

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Percorrer ECATI - Artigos de Revistas Internacionais com Arbitragem Científica por autor "ECATI - School of Communication, Architecture, Arts and Information Technologies"

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    Application test for betterment in the self-care of diabetic patients : a study in virtual messages under the NPT perspective
    (2024-04-30) Nogueira, Adinan; Murback, Fábio Guilherme Ronzelli; Oliveira, Luciel Henrique de; Souza, Maria Isabel Braga; Mendes, Sandra Soares; Deus, Diego de; Damásio, Manuel José Carvalho Almeida; ECATI - School of Communication, Architecture, Arts and Information Technologies
    Com o aumento das doenças crônicas que podem estar ligadas a maus hábitos, as tecnologias da comunicação melhoram a qualidade de vida e o estado de saúde dos pacientes. Buscamos entender como um aplicativo de TV digital e Smartphones podem melhorar o atendimento para pacientes com intervenção em saúde eletrônica através de conteúdo persuasivo, aumentando os níveis de alfabetização em saúde em pessoas com diabetes através de elementos da Teoria do Processo de Normalização (TNP). Realizou-se estudo experimental exploratório, por meio de pesquisa quantitativa e qualitativa, em três grupos de pacientes com diabetes (28 no total -10 no Grupo Controle, 9 no Grupo Smartphone e 9 no Grupo TV Digital), em Poços de Caldas, MG, Brasil, incluindo 7 profissionais de saúde (4 dentistas e 3 enfermeiros) que lidam com esses pacientes no município. O aplicativo foi aceito em ambos os grupos por usuários e profissionais, ao mesmo tempo mostrando uma tendência de aumentar a alfabetização e persuasão entre os usuários. Do ponto de vista do TNP, as questões da implementação de uma intervenção complexa, sua incorporação e otimização de sistemas mostraram-se eficientes para a melhoria do autocuidado através do usoda tecnologia. Observou-se que a autogestão da doença e do comportamento por parte dos usuários melhorou; entretanto, foi apontado que a ajuda e a participação dos profissionais de saúde necessitaram de maior credibilidade, persuasão, eficácia e eficácia das mensagens. Note-se que se trata de ajustamentos de conteúdo para melhorar os indicadores de alfabetização.
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    eHealth and health literacy : a research methodology review
    (Oxford University Press, 2014-04) Mackert, Michael; Champlin, Sara E.; Holton, Avery; Munoz, Isaac I.; DAMÁSIO, MANUEL JOSÉ CARVALHO ALMEIDA; ECATI - School of Communication, Architecture, Arts and Information Technologies
    The development of e-health may provide powerful tools to improve health, but users' health literacy plays a role in their ability to make the most of e-health applications. This study reviewed research focused on e-health and health literacy, using content analysis to assess 95 articles from 2000 to 2010 to provide an overview of work done in this emerging field. Articles were coded for use of theory, research methods, and clarity of reporting study results. Findings indicate a lack of theory-driven design and evaluation of e-health applications, low use of established general health literacy measures, and interdisciplinary work with somewhat limited contributions by communication scholars. Implications for advancing this field of research are discussed.
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    generateData—A 2D data generator
    (Elsevier B.V., 2020-05) Fachada, Nuno; Rosa, Agostinho C.; ECATI - School of Communication, Architecture, Arts and Information Technologies
    generateData is a MATLAB/Octave function for generating 2D data clusters. Data is created along straight lines, which can be more or less parallel depending on the selected input parameters. The function also allows to fine-tune the generated data with respect to number of clusters, total data points, average cluster separation and several other distributional properties.
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    Population sizing of cellular evolutionary algorithms
    (Elsevier B.V., 2020) Fernandes, Carlos M.; Fachada, Nuno; Laredo, Juan L. J.; Merelo, J. J.; Rosa, Agostinho C.; ECATI - School of Communication, Architecture, Arts and Information Technologies
    Cellular evolutionary algorithms (cEAs) are a particular type of EAs in which a communication structure is imposed to the population and mating restricted to topographically nearby individuals. In general, these algorithms have longer takeover times than panmictic EAs and previous investigations argue that they are more efficient in escaping local optima of multimodal and deceptive functions. However, most of those studies are not primarily concerned with population size, despite being one of the design decisions with a greater impact in the accuracy and convergence speed of population-based metaheuristics. In this paper, optimal population size for cEAs structured by regular and random graphs with different degree is estimated. Selecto-recombinative cEAs and standard cEAs with mutation and different types of crossover were tested on a class of functions with tunable degrees of difficulty. Results and statistical tests demonstrate the importance of setting an appropriate population size. Event Takeover Values (ETV) were also studied and previous assumptions on their distribution were not confirmed: although ETV distributions of panmictic EAs are heavy-tailed, log-log plots of complementary cumulative distribution functions display no linearity. Furthermore, statistical tests on ETVs generated by several instances of the problems conclude that power law models cannot be favored over log-normal. On the other hand, results confirm that cEAs impose deviations to distribution tails and that large ETVs are less probable when the population is structured by graphs with low connectivity degree. Finally, results suggest that for panmictic EAs the ETVs’ upper bounds are approximately equal to the optimal population size. Keywords: Spatially structured evolutionary algorithms; Cellular evolutionary algorithms;Optimal population size; Event takeover values