ISEP – CIETI – Comunicações em eventos científicos
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Browsing ISEP – CIETI – Comunicações em eventos científicos by Sustainable Development Goals (SDG) "09:Indústria, Inovação e Infraestruturas"
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- Antibacterial activity study of copper oxide nanofluids for infection control in hospital environmentPublication . Queirós, Â.; Martins, A.; Domingues, V.F.; Iglesias, T.P.; Coelho, M.F.[Introduction] Coronavirus disease appears. Due to its antibacterial potential, copper and its alloys attracted the attention of the scientific community. The use of nanoscale materials with antimicrobial properties is another approachthat has been considered.
- An Arthrospira maxima based biorefineryPublication . Santos, Carolina Ascenso; Karmakar, Rachan; Caetano, Nídia[Abstract] With growing global concern over resource depletion, climate change, and waste management, the development of sustainable biorefineries has become crucial. Arthrospira maxima, a cyanobacterium commonly denominated Spirulina and known for its high nutritional content and rapid growth, presents a promising bioresource for such systems. This study explores a biorefinery model for Spirulina that maximizes resource utilization through innovative extractions and waste valorization approaches. By cultivating Spirulina using industrial waste media and recirculating growth resources, the model demonstrates significant reductions in water and nutrient use, aligning with circular economy principles. High-value compounds like phycocyanin and lipids were extracted using green methodologies, which reduce environmental impact compared to conventional methods. Additionally, residual extracted microalgal biomass was redirected to applications such as bioenergy and soil amendment, creating a zero-waste approach. The proposed model supports a transition towards sustainable bioeconomy practices, addressing both environmental and economic challenges. Future research may focus on genetic engineering and technological advancements to further enhance Spirulina’s biorefinery potential.
- Beyond Scores: Early Findings on TBL's Impact in Engineering EducationPublication . Sena-Esteves, M. Teresa; Ribeiro, Margarida; Morais, Cristina; Brás-Pereira, Isabel; Guedes, Anabela; Soares, Filomena; Leão, Celina P.; Sena-Esteves, Maria Teresa; Ribeiro, Margarida; Morais, Leonilde Cristina; Pereira, Isabel; Guedes, AnabelaThis paper presents the preliminary findings of an ongoing study investigating the influence of Team-Based Learning (TBL) on the academic performance of engineering students, particularly its impact on their grasp of subject matter and ability to solve real-world problems. Quantitative data analysis explored correlations between students' entry-level academic scores and their performance in a course incorporating TBL. The initial results suggest that there is no significant correlation, indicating that entry scores may not predict success in this TBL-integrated course. The analysis coverages multiple academic years, offering a comprehensive perspective on how trends and outcomes evolve over time. This study contributes to the discourse on effective educational practices in engineering education by examining the potential of TBL to enhance learning outcomes. Given the study's ongoing nature, these findings are provisional but pave the way for more detailed future analyses.
- CHATGPT in the context of higher education: the case of its application in a curricular unitPublication . Costa, A.; Viegas, C.; Lima, N.; Caldeira, A.In recent years the use of AI tools, particularly ChatGPT, has been widespread. In education, students tend to be attracted to their use. As for teachers, the use of these applications divides opinions: some defend the use of these tools, others feel threatened by them. In recent years, a number of studies have been carried out to assess students' perceptions of the use of AI tools and ChatGPT in particular. Despite this, little work has been done to produce guidelines for the use of ChatGPT by teachers and students, particularly those that emphasize the need to use it critically, ethically and with the ability to check bibliographic sources. In this communication, we will try to overcome this gap. In this paper we present the case of an work carried out as part of a course unit in which the use of ChatGPT was not only allowed, but encouraged. We also asked the students to comment on the work carried out and the use of ChatGPT. A content analysis was carried out and the results are presented here. Results showed that students were motivated to carry out the work and understood that its widespread use requires critical thinking and compliance with ethical principles. The teacher acknowledge that some students developed some competences while performing this task and were able to delivered a quality, well supported essay. These competences development was also identified by some students. We conclude by presenting some guidelines to help teachers use ChatGPT in the context of academic work.
- Evaluation of MCP Correlation Algorithms Applied to Wind Data SeriesPublication . Moreira, A.; Rocha, T.; Mendonça, J.; Pilão, R.; Pinto, P.This work aimed to develop methodologies for analysing statistical correlations among wind data series using various Measure-Correlate-Predict (MCP) methods, with the goal of selecting the most suitable method for extrapolating long-term data with minimal associated uncertainty. It was analysed the minimum time required for a wind measurement campaign when applying this methodology. Fifteen local wind measurement stations were selected. The long-term wind data reanalysis series that exhibited the strongest correlation with the measured wind data at each station was then chosen. Multiple tests were conducted with different simultaneous periods between the measured data series and the long-term series. Fifteen correlation algorithms were tested for each concurrent period. The performance of each model was evaluated using the RMSE (Root Mean Square Error) and MBE (Mean Bias Error) associated with each MCP. Analysis of the errors identified measurement periods with the lowest associated error ranging from 1 to 5 years and a single-factor ANOVA analysis was conducted. Finally, t-significance tests were performed. The study concluded that the Neural Network was the most effective MCP method. Additionally, it was determined that the minimum number of years required for a local measurement campaign should be between 2 and 3 years.
- Gasification of Animal Fat Using Dolomite as Particle Bed in a Downdraft Fixed Bed ReactorPublication . Araújo. A. L.; Silva, F. T.; Campos, J. B. L. M.; Pilão, R. M.; Caetano, NídiaOne of the wastes generated in the tanning industry is hide fleshing, which contains 40% of animal fat, currently being deposited in landfills. The objective of this work was to study the catalytic capacity of dolomite in the gasification of this waste. The tests were carried out in a downflow fixed bed reactor using steam as gasification agent and used as bed of particles: alumina, dolomite and a mixture of these two materials. Tests were carried out at 750 and 800 °C and the gas obtained was quantified and analyzed by gas chromatography. The results showed that dolomite improves the performance of the gasification process, with an increase in carbon and hydrogen conversion efficiencies, cold gas efficiency and dry gas yield. It was also possible to verify the catalytic capacity of this material in the cracking of hydrocarbons and its potential to promote the production of H2. In addition, the use of the mixed bed improved the results of the gasification parameters obtained at 800 °C without compromising the degradation of the dolomite verified at higher temperatures.
- Home Assistive Robot for Alzheimer's PatientsPublication . Nóbrega, Antónia; Portela, Mariana; Tavares, Sofia; Guimarães, Pedro; Marques, Maria Arcelina; Lázaro Jacob, FredericoWith the increase in the senior population, especially patients with dementia and Alzheimer's, healthcare professionals are increasingly overwhelmed. Existing assistive technologies to improve these patients’ quality of life and their caregivers are scarce given the daily challenges they face. To tackle this issue, a domestic assistive robot was developed for Alzheimer's patients – AlzheimerAlly - which encompasses the functionalities of a service robot, and a companion robot. AlzheimerAlly's functionalities involve tracking continuous monitoring of the patient's anatomical points to detect the type of movement and medication intake. The movement of the robot follows the movement of the patient. Additionally, the graphical interface allows cognitive and stimulation tests to be carried out. The medication dispenser, implemented, contains compartments, each with a LED. Finally, there is a website, which allows you to enter and access relevant data about the medication dispenser and cognitive tests. The functionalities described were thoroughly tested, demonstrating effective implementation. However, the prototype still remains subject to improvements. Although AlzheimerAlly requires improvements, it is already a significant and functional contribution to the area of care for Alzheimer's patients. This robot represents innovation and improvement in the quality of life of patients, their caregivers and healthcare professionals.
- Laboratório remoto VISIR: As Limitações da Matriz de ComutaçãoPublication . Ruiz, Elio San Cristobal; Lázaro Jacob, Frederico; Fidalgo, André; Loro, Felix GarcíaNum mundo em rápida evolução, a tecnologia desempenha um papel fundamental na transformação da forma como os estudantes aprendem e interagem com conceitos teóricos e práticos. Um exemplo notável deste progresso é o Virtual Instrument Systems in Reality (VISIR), uma popular plataforma de laboratório remoto desenvolvida para o ensino de disciplinas específicas, como a eletrónica analógica e a eletricidade. Este laboratório permite que os estudantes realizem experiências práticas através da Internet, utilizando potencialmente equipamento real, instalado num local distante, e controlado à distância. Assim, os estudantes podem aceder ao laboratório remoto VISIR através de um navegador Web e interagir com instrumentos e circuitos como se estivessem num laboratório convencional. No entanto, provavelmente por não ter recebido actualizações relevantes durante bastante tempo, esta plataforma apresenta várias limitações, que serão exploradas neste artigo, essencialmente as que existem atualmente na Matriz de Comutação. Esta abordagem baseou-se em informações publicadas na literatura científica combinadas com o retorno da intensiva experiência de utilizadores e proprietários. Esta avaliação visa identificar várias limitações (técnicas, educativas ou pedagógicas, operacionais e económicas) da Matriz de Comutação, que podem ser consideradas ameaças para o futuro do laboratório remoto VISIR e afetar o seu desempenho e estabilidade, bem como a sua expansão a uma comunidade mais vasta de utilizadores. De salientar que não são apresentadas sugestões de soluções para corrigir as limitações desta parte da plataforma remota.
- Projeto para o Teste e Depuração com Base nas Arquiteturas IEEE 1149.1 e 1149.4Publication . Alves, Gustavo R.; Ferreira, José M.A infraestrutura Boundary Scan Test (BST), definida na norma IEEE 1149.1, tem sido tradicionalmente utilizada para o teste estrutural de Cartas de Circuito Impresso (CCI) na fase de produção. O seu aparecimento deveu-se, entre outras razões, à crescente dificuldade das tradicionais tecnologias de teste de CCI (o teste in-circuit e o teste funcional) em lidar com os novos tipos de encapsulamento de Circuitos Integrados (CI) e com a sua crescente complexidade. A utilização de CI de montagem superficial veio reduzir o distanciamento entre os pinos e permitir a montagem de componentes em ambos os lados da CCI, dificultando assim o acesso físico requerido pelo teste in- circuit. A crescente complexidade veio por sua vez dificultar a propagação de valores no interior da CCI, diminuindo assim a qualidade do teste funcional.
- Revisiting Team-Based Learning in a Fluid Mechanics Module: Enhancing Students’ CompetencesPublication . Sena-Esteves, M. Teresa; Ribeiro, Margarida; Morais, Cristina; Brás-Pereira, Isabel; Guedes, Anabela; Soares, Filomena; Leão, Celina P.; Sena-Esteves, Maria Teresa; Ribeiro, Margarida; Morais, Leonilde Cristina; Pereira, Isabel; Guedes, AnabelaThis study investigates the evolution of students’ perceptions and experiences with Team-Based Learning (TBL) over three academic years (2021/22, 2022/23 and 2023/24) applied to the Fluid Mechanics course’ viscosity module of the second year of a chemical engineering degree, 1st semester. Through questionnaire data and qualitative evaluation, competences acquired and changes in teamwork and critical thinking were analyzed, based on a sample of 151 out of 167 enrolled students. Results reveal a shift in competence emphasis over time, with “Team work” initially prominent but more evenly distributed later. While students increasingly prefer individual study, TBL fosters collaboration and critical thinking. TBL assessment indicates consistency across years, with minor variation. The study underscores TBL’s positive impact on student preparation and professional development.