2020
Autores
de Freitas, NB; Krishnamoorthy, HS;
Publicação
IEEE POWER ELECTRONICS MAGAZINE
Abstract
2020
Autores
Barbosa, B; Santos, C; Prado Meza, CM;
Publicação
Revista Lusofona de Educacao
Abstract
Internationalization at Home (IaH) is the most accessible approach for internationalizing education, as it does not involve mobility or considerable investment. This article discusses results of two distinct IaH initiatives: a 4-week collaboration between students from a Portuguese university and a Mexican university, and a set of activities conducted throughout one semester in a multicultural classroom in one Portuguese university. The analysis shows that, despite the clear differences of the two initia-tives, they provided very interesting outcomes, with students recogniz-ing the development of intercultural communication skills and other soft skills, which were perceived as adding value to the learning process and to their future professional careers.
2020
Autores
Marinho, R; Pessoa, A; Lopes, M; Rosinhas, J; Pinho, J; Silveira, J; Amado, A; Silva, S; Oliveira, BMPM; Marinho, A; Jager Wittenaar, H;
Publicação
EUROPEAN JOURNAL OF INTERNAL MEDICINE
Abstract
Background: Disease-related malnutrition is a significant problem in hospitalized patients, with high prevalence rates depending on the studied population. Internal Medicine wards are the backbone of the hospital setting. However, prevalence and determinants of malnutrition in these patients remain unclear. We aimed to determine the prevalence of malnutrition in Internal Medicine wards and to identify and characterize malnourished patients. Methods: A cross-sectional observational multicentre study was performed in Internal Medicine wards of 24 Portuguese hospitals during 2017. Demographics, hospital admissions during the previous year, type of admission, primary diagnosis, Charlson comorbidity index, and education level were registered. Malnutrition at admission was assessed using Patient-Generated Subjective Global Assessment (PG-SGA). Demographic characteristics were compared between well-nourished and malnourished patients. Logistic regression analysis was used to identify determinants of malnutrition. Results: 729 participants were included (mean age 74 years, 51% male). Main reason for admission was respiratory disease (32%). Mean Charlson comorbidity index was 5.8 +/- 2.8. Prevalence of malnutrition was 73% (56% moderate/suspected malnutrition and 17% severe malnutrition), and 54% had a critical need for multidisciplinary intervention (PG-SGA score >= 9). No education (odds ratio [OR] 1.88, 95% confidence interval [CI]: 1.16-3.04), hospital admissions during previous year (OR 1.53, 95%CI: 1.05-2.26), and multiple comorbidities (OR 1.22, 95%CI: 1.14-1.32) significantly increased the odds of being malnourished. Conclusions: Prevalence of malnutrition in the Internal Medicine population is very high, with the majority of patients having critical need for multidisciplinary intervention. Low education level, admissions during previous year, and multiple comorbidities increase the odds of being malnourished.
2020
Autores
Veloso, B; Gama, J;
Publicação
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers
Abstract
The new 5G mobile communication system era brings a new set of communication devices that will appear on the market. These devices will generate data streams that require proper handling by machine algorithms. The processing of these data streams requires the design, development, and adaptation of appropriate machine learning algorithms. While stream processing algorithms include hyper-parameters for performance refinement, their tuning process is time-consuming and typically requires an expert to do the task. In this paper, we present an extension of the Self Parameter Tuning (SPT) optimization algorithm for data streams. We apply the Nelder-Mead algorithm to dynamically sized samples that converge to optimal settings in a double pass over data (during the exploration phase), using a relatively small number of data points. Additionally, the SPT automatically readjusts hyper-parameters when concept drift occurs. We did a set of experiments with well-known classification data sets and the results show that the proposed algorithm can outperform the results of previous hyper-parameter tuning efforts by human experts. The statistical results show that this extension is faster in terms of convergence and presents at least similar accuracy results when compared with the standard optimization techniques. © 2020, Springer Nature Switzerland AG.
2020
Autores
Braga, AdF; De Souza, JPC; Coelho, FdO; Marcato, ALM;
Publicação
Principia: Caminhos da Iniciação Científica
Abstract
2020
Autores
Brito, PQ; Tones, S; Fernandes, J;
Publicação
ASIA PACIFIC JOURNAL OF MARKETING AND LOGISTICS
Abstract
Purpose The purpose of this paper is to study the nature and concept of emoticons/emojis. Instead of taking for granted that these user-generated formats are necessarily emotional, we empirically assessed in what extent are they and the specificity of each one. Drawing on congruent mood state, valence core and emotion appraisal theories we expected a compatible statistical association between positive/negative/neutral emotional valence expressions and emoticons of similar valence. The positive emoticons were consistently associated with positive valence posts. Added to that analysis, 21 emotional categories were identified in posts and correlated with eight emoticons. Design/methodology/approach Two studies were used to address this question. The first study defined emoticon concept and interpreted their meaning highlighting their communication goals and anticipated effects. The link between emojis and emoticons was also obtained. Some emoticons types present more ambiguity than others. In the second study, three years of real and private (Facebook) posts from 82 adolescents were content analyzed and coded. Findings Only the neutral emoticons always matched neutral emotional categories found in the written interaction. Although the emoticon valence and emotional category congruence pattern was the rule, we also detected a combination of different valence emoticons types and emotion categories valence expressions. Apparently the connection between emoticon and emotion are not so obviously straightforward as the literature used to assume. The created objects designed to communicate emotions (emoticons) have their specific corresponding logic with the emotional tone of the message. Originality/value Theoretically, we discussed the emotional content of emoticons/emojis. Although this king of signals have an Asian origin and later borrowed from the western countries, their ambiguity and differing specificity have never been analyzed.
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