Rui Duarte

2020-1-TR01-KA203-092333 • ALGOLITTLE Algorithmic Thinking Skills Through Play-Based Learning for Future’s Code Literates

CISeD Team Members:
Rui Pedro Duarte
Valter Nelson Noronha Alves

Duration: 2021 – 2022

Funding
Erasmus+ Programme

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The project "Algorithmic Thinking Skills Through Play-Based Learning for Future's Code Literates" has been approved by the Turkish National Agency. The project will be led by İzmir Democracy University (Department of Education Sciences) within the framework of KA203 - Strategic Partnership in the field of Higher Education, Erasmus+ Program. The project will last 24 months and will run from 01.09.2020 to 30.08.2022. The partnership consortium consists of four higher education institutions, a robotics school and an educational technology company. The partners are, more specifically, the University of Maribor (Slovenia), the University of Rijeka (Croatia), the Polytechnic Institute of Viseu (Portugal), the School of Robotics (Italy) and Educloud Ed-Tech (Turkey).

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POCH-04-5267-FSE-000818 • Qualidade dos sistemas de ensino e formação de ensino não superior – Formação de docentes e outros agentes de educação e formação

Principal Researcher:
Susana Amante
CISeD Team Members:
Isabel Oliveira
Rui Pedro Duarte

Duration: 2020 – 2023

Funding
Fundo Social Europeu, Compete2020

The Training of teachers and other education and training agents project is based on capacity building for the co-creation of innovation of polytechnic and professional higher education teachers. The main objectives are:

  • Promover e criar condições que permitam aos docentes a melhoria da qualidade, da eficácia e da eficiência das suas práticas pedagógicas, através do uso de novas ferramentas e novos métodos;
  • Enable continuous improvement of the teaching-learning process and experience the process of co-creation as co-creators and also facilitators;
  • Develop new skills, of teachers, that allow them to interact with different organizations;
  • Prepare students to better meet the needs of society, enabling their participation in sustainable development, through the resolution of real challenges. Alongside the resolution of challenges, students acquire transversal skills in the development of critical thinking, communication, teamwork and collaborative work.
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PROJ/IPV/ID&I/002 • Sistema Inteligente de Controlo de Planos Alimentares para Doentes de Alzheimer e Outras Demências

Principal Researcher: Carlos Augusto Cunha
Duration: 2020 – 2022

Cised team members
Valter Alves
Rui Pedro Duarte

Funding
CGD; PV

Alzheimer's disease is a progressive loss of mental function, characterized by degeneration of brain tissue, including loss of nerve cells, accumulation of an abnormal protein, and development of neurofibrillary braids. Alzheimer's patients become dependent on other people, even for the most basic tasks. Controlling feeding and hydrating an Alzheimer's patient is thus a crucial task performed by the person who supports their daily routine, called Informal Caregiver (IC).

Conditions of malnutrition, super nutrition, and dehydration are common in people with diseases causing dementia since the loss of their autonomy also manifests itself in the level of their inability to demonstrate food needs. The support of a nutritionist in the preparation and follow-up of a food plan aligned with the needs of the patient is, therefore, fundamental. The monitoring of the food plan is undoubtedly a process that demands from Cl a lot of discipline and the ability to deal with possible circumstantial adaptations, such as replacing foods prescribed in the food plan with other equivalents or changing the quantity of water consumed as a function of ambient temperature.

This project addresses the problem of the creation and monitoring of diet plans in patients with dementia such as Alzheimer's, through the creation of a computer solution. It allows the creation of nutritional plans by the nutritionists using a Web application and the follow-up of these plans by the ICs through an app to significantly increase the quality of life of the patient. The mobile app will be able to send to the CI notifications regarding proper nutrition and hydration in due moments, accompanied by the control of hydration using an intelligent water bottle, will allow ensuring the compliance of the indications of the nutritionist. Besides, the application will suggest alternatives to plan foods if they are unavailable. Another central feature of the solution is the dynamic adaptation of water administration to the patient as a function of the environmental conditions automatically collected by temperature and humidity sensors.

In scientific terms, the project includes the creation of innovative models for adapting food plans using machine learning algorithms and integration approaches, preprocessing and evaluation of data quality collected by external sensors.

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PROJ/IPV/ID&I/019 • WASTECLEAN – Integração de desperdícios agroalimentares ricos em compostos fitoquímicos e bioativos numa agricultura

Principal Researcher:
José Luís Pereira
Duration: 2020 – 2022

Cised team members
Isabel Paula Lopes Brás
Maria Elisabete Ferreira Silva
Rui Pedro Duarte

Funding
CGD; PV

In the last decade sustainable agriculture has gained emphasis. For the development of this type of agriculture i tis necessary to look for agricultural practices that allow to improve the production and to reduce the negative impact on the environment. One of these practices is to reuse biowaste from agro-food production. Many of these residues are rich in phytochemical compounds (lignins, celluloses, hemicelluloses, polyphenols) which, when added to the soil, can improve it. However, the direct application of these residues to the soil can often induce toxicity problems, such as polyphenol-rich residues. Composting is a practice that can solve this problem. However, the composting process is also associated with increased greenhouse gas emissions (GHG), although this GHG emission is very dependent on the physical-chemical characteristics of the materials being composted.

Another biowaste of the agri-food production are the animal manures, particularly liquid slurry, that when applied directly to the soil can induce contaminations. Through this, high amounts of antibiotic resistant genes are released to the soil (and subsequently to the plants) and there is also the presence of hepatitis virus E. One way to value these slurries could be by applying carbonaceous (biochar), as it is indicated that the application of biochar could reduce amounts of these microbiological agents that could be transferred to the environment.

Thus, in the present project the main agricultural biowaste of the region (grape smash, olive branch and pruning) will be characterized according to the quantity of polyphenols, tannins, celluloses and hemicelluloses. The evolution of these compounds throughout the composting process will be also evaluated as well as the GHG emission and its relation with the chemical composition of the materials. The effect of applying the compost to the soil will be analysed in the development and production of a horticultural crop.

As a national region rich in animal production, it is also important to exploit the resulting biowaste, including the use of manure. It is imperative to use sanitary practices of the slurries to avoid soil contamination. Thus, we propose to evaluate the effect of biochar as a sanitation practice and at the same time evaluate its effectiveness in reducing GHG emissions.

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PROJ/IPV/ID&I/025 • Da ludicidade do videojogo ao desenvolvimento comunicacional da criança com autismo

Principal Researcher:
Valter Alves
Duration: 2019 – 2022

Cised team members
Valter Alves
Rui Pedro Duarte
Frederico Fonseca
Ana Cristina Bico Matos

Funding
CGD; PV

Autism Spectrum Disorder (ASD) affects sensory processing, conditioning development of communication skills, and social interaction. Still, there are few digital tools explicitly aiming at the study this hindrance. It is well known that children with ASD are fond of technologies and videogames in particular. The predictable and constant behaviour of technological components, the visual appeal, and the challenges are often highly appreciated. Besides, videogames typically allow users to play alone, which is adequate to the profile of such an audience. The use of videogames by autistics has shown to be relevant, and studies are evidencing a correlation with superior cognitive development. Even so, existing solutions that were specifically developed for this audience have assumedly pedagogical goals, which systematically compromises their ludic dimension. In contrast, the present proposal focuses on pure playfulness and is designed to provide an advantage to players who adopt specific strategies that rely on communicating with other users. Also instrumental to the project, different scenarios are designed so that researchers can observe and collect scientific data, aiming at better understanding the related disturbances. To begin with, such scenarios support the analysis of the influence of physical proximity between the players, their prior level of familiarity, and their relative communicational abilities. Secondly, researchers will study the impact of repeating the experience, both in terms of in-game performance and regarding a possible contribution to the relationship between participants and, eventually, with third parties. It is also an objective to verify how the use of immersive virtual reality systems can impact the results in different scenarios.
The development of the videogame will resort to agile methodologies, which will allow for an incremental production, supported by recurrent tests and consistently validated according to the intended objectives. The partners in this project grant that a considerable number of users will be available both during the videogame development process and the experiments, which is highly relevant for the scientific representativeness of the observations and results.

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PROJ/IPV/ID&I/007 • Sistema Inteligente de Controlo de Planos Alimentares para o Desporto

Principal Researcher:
Carlos Cunha
Duration: 2019 – 2022

Cised team members
Rui Pedro Duarte
Valter Alves

Funding
CGD; PV

The recent growth in the pursuit of sporting activities, motivated by a widespread increase in the perception of the importance of maintaining physical fitness, campaigns specifically aimed at combating physical inactivity, and opportunities created by the revelation of lesser known modalities, brought forward fundamental questions such as the correct nutrition of the practitioners. Numerous institutions involved in the practice of physical activity, which have since flourished, have been integrating these concerns into their scope, including through nutritionists.

For a nutritionist, the elaboration and monitoring of a food plan in line with the needs of the individual present two critical problems: 1) obtaining biometric data, eating habits and energy consumption to create the food plan, and 2) monitoring and the dynamic adaptation of the food plan.

Sports nutrition is one of the most complex areas of nutrition, since it requires observation of a rather comprehensive set of metrics, encompassing the athlete's physical aspects, physical activity, and eating habits. The use of measuring devices for specific parameters of physical activity represents a common practice among athletes. The integration of data automatically collected by these devices with other data not directly observable, such as dietary habits and subjective metrics, is part of the complexity of creating a global register that can be used by the nutritionist during the development of the plan to feed. Also, at a stage after the preparation of the food plan, the need to adapt it may arise. For example, variations in temperature or physical intensity may involve quick changes in the energy or hydration needs of an individual. In such situations, the data collected by the devices could be used to dynamically adjust the plan and send alerts, informing the sportsman of the need to eat food or water at the right time.

The objectives of this project include the creation of (a) a Web application where the nutritionist can record and follow up on dietary plans and (b) a mobile app for sportspersons, which can collect data provided by smart devices or manually entered, and where they can plan and receive notifications. In scientific terms, the project includes the creation of innovative models for adapting food plans using machine learning algorithms and integration approaches, preprocessing and evaluation of data quality collected by external devices.

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LIFE18 ENV/PT/000361 • LIFE LANDSCAPE FIRE – New methodologies

Duration: 2019 – 2024

Cised team members
António Figueiredo
Carlos Pereira
Elisabete Silva
Isabel Brás
Rui Duarte
Serafim Oliveira

Funding
UE through the LIFE program

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This project aims to develop large-scale measures to prevent forest fires, conserve biodiversity, increase forest resilience, train decision-makers on the benefits of prevention, as well as identify a set of of options and measures for local adaptation that will make it possible to identify and propose actions to reduce the current and future territorial vulnerability of the region.

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