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  • A Pattern Recognition Framework to Investigate the Neural Correlates of Music
    Publication . Guedes, Ana Gabriela; Sayal, Alexandre; Panda, Renato; Paiva, Rui Pedro; Direito, Bruno
    Music can convey fundamental emotions like happiness and sadness and more intricate feelings such as tenderness or grief. Understanding the neural mechanisms underlying music-induced emotions holds promise for innovative, personalised neurorehabilitation therapies using music. Our study investigates the link between perceived emotions in music and their corresponding neural responses, measured using fMRI. Fifteen participants underwent fMRI scans while listening to 96 musical excerpts categorised into quadrants based on Russell’s valence-arousal model. Neural correlates of valence and arousal were identified in neocortical regions, especially within music-specific sub-regions of the auditory cortex. Through multivariate pattern analysis, distinct emotional quadrants were decoded with an average accuracy of 62% ±15%, surpassing the chance level of 25%. This capacity to discern music’s emotional qualities has implications for psychological interventions and mood modulation, enhancing music-based treatments and neurofeedback learning.
  • Smart monitoring of constructed wetlands to improve efficiency and water quality
    Publication . Pinho, Henrique J. O.; Barros, F.M.; Teixeira, André; Lopes De Oliveira, Luís Miguel; Matos, Pedro; Ferreira, Carlos; Mateus, D. M. R.
    The Smart monitoring of constructed wetlands to improve efficiency and water quality (SmarterCW) project aims to monitor biological wastewater treatment processes by gathering continuous data from remote water and environmental sensors. The acquired data can be processed and analysed through data science tools to better understand the complex and coupled phenomena underneath wastewater treatment, as well as, to monitor and optimize the system performance. The results will improve the efficiency and control of nature-based wastewater treatment technologies. The methodology comprises the following tasks and activities: Implementation of a set of electrochemical sensors in the input and output flow streams of pilot-scale constructed wetlands; Acquisition of water quality parameters such as pH, electrical conductivity, temperature, and ionic compounds; Acquisition of environmental parameters, such as temperature and humidity; Application of data analysis tools to design and optimize conceptual models to correlate pollutants removal with operative parameters in green technologies for wastewater treatment. This methodology was applied to a patent-protected pilot-scale modular constructed wetland in which filling media consists of a mixture of solid waste. The system is complemented by a high-level IoT communication layer structure to support remote real-time water and environmental monitoring, system performance, and data dissemination. The project contributes to: Water and Environment through the efficient management and use of water resources and waste reduction, management, treatment, and valorisation; Materials and raw-materials through efficient, secure, and sustainable use of resources; and Environmental Education promoting environmental awareness and best environmental practices through the dissemination of scientific data and results using Information and Communication Technologies (ICT) tools and IoT platforms. The project also contributes to giving response to Societal Challenges, such as Environment protection, sustainable management of natural resources, water, biodiversity, and ecosystems; Enabling the transition to a green society and economy through eco-innovation.
  • Autonomous patrol of water resources in natural and artificial systems
    Publication . Barros, F.M.; Pinho, Henrique J. O.; Magalhães, Hugo; Ferreira, Carlos; Matos, Pedro
    Water resources, being one of the most important natural resources, face major threats due to contamination by pollutants of various types and origins. Consequently, preservation, protection and sustainable use of natural resources is increasingly important. The “DragonFly” project aims to develop a system that solves the need for monitoring the quality of surface water in natural and artificial systems of different types, on a continuous and regular basis. It is intended to acquire water quality data in order to identify sources of pollution or to estimate the discharge and dispersion of contaminants along water courses. The system was specified to allow the acquisition of a specific set of environmental data that characterize the aquatic environment and help to detect variations (deviation) in water quality, such as temperature, pH, dissolved oxygen, redox, conductivity, salinity, and dissolved solids. The Castelo do Bode reservoir, was adopted in this work as a data acquisition area and for the development and testing of the system, due to its geographical proximity. It is the main national water reservoir for public supply, with a maximum extension of 60 km, it occupies an area of about 3 300 ha. The acquisition of real-time data is an essential condition in this type of application, as it will allow the immediate detection of pollution points and timely action on it. The available data continuity and regularity will allow the support of the aquatic environment studies and the forecasting systems modelling of future conditions, guiding the decision processes. To achieve this objective, a physical prototype was developed based on a floating electric vehicle (ASV ), to which several modules and/or satellite vehicles can be added, and which is already implemented at an advanced stage. In order to guarantee the continuity and regularity of the available data and to reduce system maintenance times and costs, it is necessary to ensure the autonomous operation of the supply system. Energy storage systems, autonomous refueling systems and independent energy conversion and storage systems are now being designed. The design of a versatile real-time water quality monitoring system contributes to the management and protection of water resources thus it can increase security in the water supply of populations and turn the resources management more efficient and sustainable.
  • A app das Ciências Participativas: das práticas ancestrais à produção de conhecimento
    Publication . Teixeira, Vitor; Garcês, Sara; Borralheiro, Anabela; Gomes, Hugo; Cardoso, Douglas O.; Trindade, Anícia; Ferraz, Eduardo; Oosterbeek, Luiz
  • ProSTEAM – Promover o Ensino das STEAM no âmbito de um projeto Erasmus+
    Publication . Costa, Maria Cristina; Peixoto, Francisco; Ferreira, Nádia; Silva, José Castro; Monteiro, Vera
  • O papel da inovação tecnológica e da ciência aberta no desenvolvimento sustentável das cidades e regiões – Um caso prático
    Publication . Barros, F.M. Manuel; Pinho, Henrique J. O.; Frazão Correia, Pedro; Panda, Renato; Silva, Gonçalo
  • Inteligência para a Sustentabilidade das Cidades
    Publication . Pinho, Henrique J. O.; Lopes de Oliveira, Luís Miguel; Coelho, Paulo; Frazão Correia, Pedro; Panda, Renato
  • Combination of various solid wastes with fragmented limestone as filler for constructed wetlands used for wastewater treatment
    Publication . Mateus, D. M. R.; Graça, Nuno; Alves, Ana; Pinho, Henrique J. O.
    This study aims to contribute to the development of eco-efficient constructed wetlands through the concept of circular economy and the use of waste to treat waste Combinations of five solid wastes were evaluated as filler materials for CWs used for wastewater treatment To evaluate the combined capability of the waste materials to wastewater treatment, five sets of unplanted lab-scale CWs were established The CWs were operated in a discontinuous mode for three successive fill and drain cycles The highest COD removal rate was obtained for a CW filled with limestone and cork waste 90.3+/-0.9%. The highest total nitrogen removal rate was obtained for a CW filled with limestone and clay brick fragments 84.8+/-0.1%. Total phosphorus removal percentage of 91.8+/-0.1% was achieved for a control CW filled with limestone It was observed that layer packed solid waste combination fillings are adequate in improving COD removal in limestone based CWs, and that all but the limestone snail shells filling have a very good performance for total nitrogen and total phosphorus removal from wastewater.
  • VITASENIOR–MT: Architecture of a Telehealth Solution
    Publication . Pires, Gabriel; Lopes, Ana; Manso, António; Jorge, Dário; Mendes, Diogo; Almeida, Luis; Lopes de Oliveira, Luís Miguel; Gomes, Nelson; Dias, Pedro; Panda, Renato; Pereira, Telmo; Monteiro, Paulo; Grácio, Carla
    VITASENIOR-MT is a telehealth solution under development that aims to monitor and improve the healthcare of elderly people living in the region of Médio Tejo. This solution performs both remote and local monitoring of biometric parameters of the elderly, and also of environmental parameters of their homes. The biometric variables include heart rate and temperature measurements collected automatically, by means of a bracelet, throughout the day. Blood pressure, body weight, and other biometric parameters are measured on a daily basis by the senior’s own initiative, and automatically recorded. The environmental parameters include temperature, carbon monoxide and carbon dioxide measurements. A TV set is used as a mean of interaction between the user and the medical devices. The TV set is also used to receive medical warnings and recommendations according to clinical profiles, and to receive environmental alerts. All data and alerts can be accessible to senior’s family and healthcare providers. In alarm situations, an automatic operational procedure will be triggered establishing communication to predefined entities.