ESS - BBB - Comunicações em eventos científicos
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- Megadados= Mega desafios?Publication . Faria, Brígida Mónica; Sá, Patrícia; Faria, Brigida MonicaIntrodução aos megadados (Big Data) em educação • Conceito • Megadados no contexto educativo • Influência na investigação em educação • Metodologias de investigação • Potencialidades e constrangimentos • Formação de novos investigadores em educação • Propriedade e acesso aos megadados • Proteção dos Dados • Europa e a Inteligência Artificial • Conceito FAIR • Conclusões e Direções Futuras
- Data analysis of three procedures for constructing semiconductors: Mold, Solder Ball and SingulationPublication . Faria, Brígida Mónica; Faria, Brígida MónicaSemiconductor's production is a complex process that involves several sequential steps until obtaining the final product. Team and machine fault detection and performance analysis, in the manufacturing process, are essential to the success of a company in this field. This paper presents the results obtained by applying multivariate statistical methods to data on three processes of the production line of a semiconductor company: Molding, Solder Ball Attach and Singulation. From the analysis of the real data it can be concluded that there are statistical differences regarding the performance, concerning the time taken and number of faults, of the four teams that operate on the company analyzed.
- Sistema de apoio à decisão clínica baseado em qualidade de vidaPublication . Ferreira, Mário; Reis, Luís Paulo; Faria, Brígida Mónica; Gonçalves, Joaquim; Rocha, Álvaro; Faria, Brigida Monicacrescente relevância do conceito de Qualidade de Vida (QDV) no âmbito da saúde, e a necessidade de aproveitar os benefícios da inovação das tecnologias e sistemas de informação, são a sustentação para o desenvolvimento de um Sistema de Apoio à Decisão Clínica (SADC), que este estudo pretende apoiar. Através da expetativa individual, de bem-estar físico, psicológico, mental, emocional e espiritual dos pacientes, variáveis discutidas e medidas na área de investigação de Qualidade de vida, pretende-se fazer um estu do dos dados para estabelecer correlações com dados laboratoriais, farmacêuticos, socioeconómicos, entre outros, obtendo conhecimento a nível de padrões comportamentais de doentes crónicos, alcançando uma série de dados confiáveis e de fácil acesso, capazes de potenciar o processo de tomada de decisão por parte das equipas médicas especializadas, na procura de melhorar os tratamentos e consequentemente a qualidade de vida relacionado com a Saúde de doentes crónicos.
- 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.
- Sleep stage detection: a clinical validation study of a custom-built single-channel in-ear EEG sensorPublication . Borges, Daniel Filipe; Soares, Joana I.; Silva, Heloísa; Felgueiras, João; Batista, Carla; Ferreira, Simão; Rocha, Nuno; Leal, AlbertoIntroduction:Sleep is vital for health. It has regenerative and protective functions, and its disruption reduces the quality of life and increases susceptibility to disease. During sleep, there is a cyclicity of distinct phases that are studied using polysomnography (PSG), a costly and technically demanding method that compromises the quality of natural sleep. The search for simpler devices for recording biological signals at home addresses some of these issues. Objective: To clinically validate a custom-built single-channel in-ear EEG sensor for sleep classification by assessing various sleep metrics and staging decisions with simultaneously recorded PSG. Methods: Prospective cross-sectional study with 28 participants, divided into two groups: healthy volunteers and clinical patients. In both groups, PSG, individual in-ear EEG- with two different electrode configurations- and actigraphic recordings (only in the healthy group) were performed simultaneously for a whole night. Statistical analysis focussed on the four main sleep metrics: TRT (total recording time), TST (total sleep time), SE (sleep efficiency), SL (sleep latency) and the 5-class classifications (wakefulness, N1, N2, N3 and REM sleep). This included correlation analyses between methods and Bland-Altman plots, Cohen’s K coefficient, and confusion matrices aiming 30-second epoch-wise agreement with an automatic sleep classification algorithm using visual sleep classification by an ERSR-certified human expert as the gold standard according to current AASM guidelines. Results: The analysed sleep data comprised 30960 epochs. The correlation analysis revealed strong positive correlations (0.90) for all variables for the in-ear sensor. The Bland-Altman plots show a high level of agreement and consistency (+- 1.87 SD), with minimal bias between methods. The average kappa values (0.75) and the confusion matrices with each method's sensitivity and specificity also show a very high level of concordance.Conclusions: In both groups, the in-ear EEG sensor showed strong correlation, agreement and reliability with the gold standard, supporting accurate sleep classification.
- 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.
- Research of Legionella sp. in the water supply of a hospital in northern PortugalPublication . Alves, Sandra Maria; Lamas, Maria Céu; Araújo, António; Amorim, ManuelaThe distribution systems of drinking water have characteristics that allow the growth of microorganisms that may be pathogenic to humans, such as Legionella. The Legionella sp. (aerobic gram-negative bacilli) are widely distributed in aquatic environments, but it is in artificial environments that they hit higher levels due the characteristics propitious (like temperature, pH and biofilms presence) to their development. Human intervention was crucial for the presence of Legionella that has become common in building networks of water supply, cooling towers, air conditioning systems, swimming pools, tanks, humidifiers, condensers, ornamental fountains, among others.
- Geographic information systems in assessment of risk factors in cancer prevention planningPublication . Amil Dias, Cristina; Veloso Gomes, PauloBetween 2002 and 2012 almost 24% of deaths registered in Portugal originated from malignant diseases (INE, 2014). According to the International Agency for Research on Cancer in the coming years as a consequence of demographic evolution and exposure to risk factors, the incidence of oncology diseases is expected to increase. According to the WHO (2005) it is expected that 40% of cancer might be avoided if the main risk factors could be modified. The Implementation of preventive measures, most of low cost but poorly applied, depends on systematic evaluation of national risk factors (WHO, 2007).
- Conhecimentos e opiniões de médicos e farmacêuticos acerca dos genéricos versus padrões de prescrição/dispensaPublication . Pimenta, Rui; Rodrigues, Carla P.; Fernandes, Paula O.Na actual situação da economia portuguesa, a política do medicamento assume uma importância primordial na prossecução de uma redução da despesa pública com medicamentos para 1,25% do PIB até final de 2012 e para cerca de 1% do PIB em 2013, conforme o acordo estabelecido com as entidades internacionais. No entanto, do ponto de vista do cidadão, a despesa privada em medicamentos é também uma temática na ordem do dia. Poucos temas são tão controversos na área da política do medicamento como a introdução de genéricos no mercado de medicamentos, contudo, estes podem desempenhar um papel fundamental na optimização da afectação de recursos. São muitas as questões levantadas contra e a favor da qualidade, segurança e eficácia dos genéricos. Se os médicos, através da prescrição, são o factor decisivo para o aumento da quota de genéricos; os farmacêuticos enquanto dispensadores assumem um papel preponderante na sensibilização dos utentes para a sua aceitação e adesão à terapêutica.
- A qualidade de vida no indivíduo com perda auditivaPublication . Carmo, Paulo Quintela; Pimenta, Rui; Ferreira, Pedro L.A audição é um sentido essencial para o desenvolvimento das capacidades de comunicação com os pares podendo comprometer seriamente a qualidade de vida dos indivíduos. O presente estudo pretendeu medir a qualidade de vida, nos seus diferentes domínios, e identificar eventuais diferenças face aos valores de referência apresentados por Ferreira e Santana (2003).