ESS - BBB - Comunicações em eventos científicos
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- An empirical study about the variables that influence the social acceptability on the biogasPublication . Dias, Telma; Rodrigues, Matilde; Pereira, Ilídio; Leão, Celina P.Due to the excessive use of conventional energy sources, renewable energy technologies have becoming a potential alternative to provide a sustainable development of society. Biogas has been considered as one of the most environmental beneficial source of energy that contributes for reducing greenhouse gas emissions and global warming (Jiang et al., 2011). Furthermore, the production of biogas can be highly important in rural areas, where there are many treatment stations of organic wastes, being a good way to solve problems related to release gases into the atmosphere, as well as related to the bad smells. However, the society opposition, disinterest and lack of knowledge about the advantages of biogas production and its use, can be a barrier to the availability of the implementation of these renewable technologies. In this context, more studies are necessary to clarify the public acceptability of these technologies (Zyadin et al ., 2012), in order to get further information to help into design an intervention strategy.
- An unobtrusive multimodal stress detection model & recommender systemPublication . Ferreira, Simão; Correia, Hugo; Rodrigues, Fátima; Rodrigues, Matilde; Rocha, NunoStudies estimate that about 50% of all lost workdays are related to occupational stress. In recent years, several solutions for mental health management, including biofeedback applications, have emerged as a way to enhance employee mental health. Solutions to mitigate risk factors related to the working settings present an enormous potential and a clear contribution. However, most of the work that has been developed is limited to laboratory environments and does not suit real-life needs. Our study proposes an unobtrusive multimodal approach for detecting work-related stress combining videoplethysmography and self-reported measures for stablishing the ground truth in real-life settings. The study involved 28 volunteers over a two-month period. Various physiological signals were collected through a videopletismography solution, while users were performing daily working, for approximately eight hours a day. In parallel, selfreported measures were collected via a pop-up application (developed by the research team) that periodically retrieved the user's perceived stress (amongst other variables) in order to label the physiological data. In order to develop the stress detection model, we pre-processed the data and performed Heart Rate Variability (HRV) feature extraction. Then, we experimented with several machine learning models, utilizing both individual and combined physiological signals to explore all available alternatives. After rigorous evaluation, the best-trained model achieved an accuracy of over 80% and an F1 Score of over 85%. With the stress detection model in place, we are developing a structured intervention model to help reduce stress. This intervention model integrates two interconnected dimensions through digital coaching, which prioritizes personalized recommendations based on user preferences. Our top priority is to ensure user engagement, and we believe that adherence to and adoption of recommended interventions are more likely when users receive recommendations that align with their preferences. Thus, we prioritize personalized recommendations that are tailored to each individual's unique model. After detecting immediate stress peaks and providing real-time feedback on stress levels, our alarm system goes a step further by offering customized recommendations for brief stress relief. The digital coach (intervention model) offers various recommendations and active lifestyle changes such as exercise, task management, weight management, better sleep habits, structured pauses, and other critical interventions. These critical interventions are also based on user preferences, allowing our system to prevent future stress-related incidents and, most importantly, mitigate long-term stress. This project and its methodology demonstrate that truly unobtrusive stress detection is possible and can be performed within the scope of ethical demands. In future work, we will evaluate the responses and beneficial outcomes of implementing a recommender system.
- Análise fatorial de doenças não transmissíveis em função das taxas de mortalidade ao longo do tempoPublication . Nascimento, Ana Paula; Prudêncio, Cristina; Vieira, Mónica; Faria, Brígida Mónica; Pimenta, Rui; Bacelar-Nicolau, HelenaA Saúde Pública visaestudar, prevenir doenças, prolongar a vida e melhorar a qualidade de vida por meio de esforços organizados e escolhas informadas. Assim, é necessárioconhecer e analisar os fatores de saúde de uma população. A Análise de Dados Multivariada difere da Análise Estatística Multivariada clássica (confirmatória), pois nesta última o papel central está no modelo e nas inferências estatísticas, enquanto que na análise de dados multivariada são os dados que assumem o papel primordial. Atécnica de análise fatorial pode ajudar na procura de causas comuns ou fatores de risco para melhorar a medicina preventiva. Pretende-se, com o presente estudo, encontrar fatores de doenças não transmissíveis eventualmente sugestivos de um comportamento comum das mesmas, utilizando análise fatorial. Para encontrar fatores que expliquem as associações entre doenças não transmissíveis, foi aplicada a análise fatorial separadamente para o sexo masculino e feminino, e considerando como variáveis as taxas de mortalidade padronizadas ao longo do tempo de cada uma das doenças. Foram identificados três fatores de doenças não transmissíveis, no sexo feminino, explicando 80,36% da variância e quatro fatores de doenças não transmissíveis,no sexo masculino, explicando 77,22% da variância. Em ambos os sexos as doenças cerebrovasculares e a cardiopatia isquémica contribuem positivamente para o primeiro fator, o que é comum ser encontrado na literatura no caso do sexo masculino, aplicando métodos de cluster analysis. A análise fatorial juntamente com outras metodologias de análise de dados multivariados, pode ajudar na identificação de causas comuns ou fatores de risco para melhorar a medicina preventiva. O estudo dos fatores de risco e/ou mecanismos fisiopatológicos comuns que de uma forma direta ou indireta, possam potenciar o desenvolvimento comum das patologias encontradas nos grupos/fatores é prioritário dada a relevância das doenças não transmissíveis.
- Análise sobre a escolha do curso e instituição dos estudantes da área de engenhariaPublication . Barros, David; Vasconcelos, Rosa; Costa, António Pedro; Reis, Luís Paulo; Faria, Brígida MónicaTodos os anos ingressam nas universidades portuguesas milhares de estudantes provenientes do concurso nacional de acesso ao ensino superior. Estes estudantes são alocados de acordo com a sua nota de candidatura e as suas preferências a um par estabelecimento-curso. Apesar das estatísticas oficiais fornecidas pelo Ministério da Ciência, Tecnologia e Ensino Superior (MCTES), nem sempre é possível retirar os indicadores relevantes para uma boa tomada de decisão por parte das Universidades sobre os cursos e vagas a oferecer. Este trabalho procura avaliar os fatores que irão influenciar os estudantes na sua escolha por um par estabelecimento-curso assim como compreender as diferentes variáveis que estão relacionadas com essa mesma atribuição de influência. Baseou-se num estudo empírico, observacional através da aplicação de questionário, com o respetivo estudo estatístico. Os resultados mostraram uma relação em maior número entre os fatores estudados e o género. Permitiram ainda concluir que os fatores prestígio da instituição, empregabilidade e desenvolvimento intelectual são os mais valorizados pelos estudantes.
- Analysis on the selection of course and institution of engineering studentsPublication . Barros, David; Vasconcelos, Rosa; Costa, António Pedro; Reis, Luís Paulo; Faria, Brígida MónicaEvery year thousands of students apply for access to higher education in Portuguese universities. These students are allocated according to their application, secondary school grades and their preference to distinct establishment-course pairs. Despite official statistics provided by the Ministry of Science, Technology and Higher Education (MCTES), it is not always possible to have the relevant indicators for universities make a good decision concerning courses and vacancies to offer. This study evaluates the factors that influence students in their choice of a pair establishment-course as well as understand the different variables that are related to the same attribution of influence. The study is observational and empirical using questionnaires, with the appropriate statistical analysis. The results showed a relation in greater number among the studied factors and gender. In conclusion the prestige of the institution, employment and intellectual development are the factors most valued by students.
- Apparent diffusion coefficient in the analysis of prostate cancerPublication . Adubeiro, Nuno; Nogueira, Luísa; Ribeiro, Eduardo; Alves, Sandra; Ferreira, Hugo; La Fuente, JoséThe multiparametric magnetic resonance imaging (MPMRI) approach, has allowed the diagnostic performance in the detection and characterization of prostate cancer (PCa). Diffusion-weighted imaging (DWI), is an important technique in the MPMRI, that provides qualitative and quantitative biological information regarding water diffusivity in a non-invasive manner. The apparent diffusion coefficient (ADC) measures water mobility and can be quantified from the signal intensity loss between two or more b-values. Different studies reported that ADC values are directly associated with microvessel density and cellularity. One of the main aspects that is in discussion is the b-values that must be used in the DWI sequence in order to compute ADC.
- Applicability of mixed reality in operating roomPublication . Magalhães, Renato; Veloso, Rita; Vilaça, Adélio; Oliveira, Ana; Terroso, DavidMixed Reality (MR) technology has emerged as a promising tool for enhancing surgical procedures and training in the operating room (OR). The applicability of MR in the OR has potential benefits and challenges. In this study, we conducted a systematic review to comprehensively evaluate the use of MR in the OR, specifically focusing on training, remote support, and surgical planning. Additionally, we analysed available tools, assessing their usability and integration into existing workflows. The analysis highlights MR solutions that improve surgical precision, visualization, decision-making, and educational experiences. The conclusions derived from the systematic review are presented, emphasizing the applicability of MR in OR and its potential contributions to training and surgical planning.
- Assessing sleep quality of professional drivers: an analysis based on self-perceived and sleep companions' feedbackPublication . Lopes, T.; Faria, Brigida Monica; Oliveira, Alexandra; Pimenta, Rui; Reis, L. P.Portugal has been ranked as the fourth European country with the highest incidence of falling asleep while driving. The quality of sleep comprises both quantitative aspects, such as sleep duration and sleep latency, and qualitative aspects, such as mood and health status. Neglecting the quality and quantity of sleep can result in fatigue, affecting multiple aspects of safe driving, such as attentiveness to the road. Although quantitative measures of sleep are easy to assess, evaluating subjective aspects of sleep is more challenging. Poor sleep quality and habits were the most commonly cited reasons for falling asleep at the wheel. Given the high prevalence of road accidents in Portugal and the significant impact of sleep quality on driving safety, there is a need for comprehensive research on the sleep quality of professional drivers. Adult sleep is often a shared activity between sleep companions, making it a crucial aspect to investigate for a better understanding of sleep perceptions. The main objective of this study is to analyze the sleep quality of a population of Portuguese professional drivers and compare it with the responses given by their sleep companions.
- Assessing statistical reasoning through project workPublication . Pimenta, RuiNew technologies involve a reformulation of contents and methodology used for teaching statistics. Developing students’ statistical reasoning becomes an important task for teachers of applied statistics. This is particularly true in the field of health sciences. In this work the statistical reasoning ability acquired by health sciences students was evaluated in the context of their final undergraduate project.
- Bone decade actions: are practical results measurable yet?Publication . Alves, Sandra; Oliveira, Carla; Alves, Carlos; Ribeiro, Ana I.; Neves, Nuno; Pina, Maria F.Osteoarthritis (OA) has an extremely high disease and economic burden. Despite treatments for OA pain management, data are limited on the adequacy of pain relief in OA patients. SORT will determine the adequacy of pain relief in patients with knee OA and compare patterns of clinical care and outcomes.