2023
Autores
Jardim, R; Quiliche, R; Chong, M; Paredes, H; Vivacqua, A;
Publicação
SOFTWARE IMPACTS
Abstract
The COVID-19 pandemic highlighted the inadequate readiness of numerous nations to address diseases that could potentially evolve into epidemics or pandemics, posing risks to health systems and supply chains. Statistical analysis and predictive models were developed to manage COVID-19 and other diseases that harm public health. However, few public-policy decision-support tools are documented in the literature, although several governments have created them. In line with the previous developments, this tool uses socioeconomic features to model the COVID-19 province's mortality rates. This paper presents a tool to predict the mortality rate of a province using supervised learning techniques, named CuraZone. This tool was validated using 196 provinces in Peru for training and considering 31 characteristics. The tool displays the dataset's most essential characteristics, shows the country's mean square error (MSE), and predicts a province's mortality rate. In addition, the tool contributes to the field of Explainable AI (XAI), as it shows the importance of each feature. Highlighted contributions of this work include the support for the decision-making of governments or stakeholders in epidemics, providing the source code in an open and reproducible way, and the estimated mortality rate for specific populations of a neighborhood, city, or country.
2023
Autores
Qbilat, M; Mota, T; De Carvalho, F; Mendonça, J; Nitti, V; Pannese, L; Gall, M; Morgado, L; Van Staalduinen, W; Van Berlo, A; Paredes, H;
Publicação
2023 INTERNATIONAL CONFERENCE ON INTELLIGENT METAVERSE TECHNOLOGIES & APPLICATIONS, IMETA
Abstract
The VR2Care project aims to create age-friendly virtual environments fostering interactive technologies for promoting physical activity, rehabilitation, and social interaction. Smart living environments have intelligent interfaces in a single or multi-user context. The VR2Care ecosystem combines virtual reality technologies for supervised exercise with natural interaction techniques, enhancing social virtualization with gamification aspects in the practice of physical activity in a metaverse context. This paper presents the infrastructure and the high-level functional architecture of the VR2Care ecosystem which provides the necessary tools to construct the communication bridges to bring together people sharing common interests, objectives, or ambitions.
2023
Autores
Carvalho, D; Cabral, M; Rocha, T; Paredes, H; Martins, P;
Publicação
HCI International 2023 - Late Breaking Papers - 25th International Conference on Human-Computer Interaction, HCII 2023, Copenhagen, Denmark, July 23-28, 2023, Proceedings, Part VII
Abstract
The use of 3D animations in medical education is becoming increasingly popular. Indeed, animations are an efficient way to present complex information, reducing time spent reading textbooks. Thus, in the educational contexts, animations can help students learn more efficiently, retain and better understand information. In addition to improving the learning experience, medical education is a highly important and necessary endeavor, as it can directly affect the lives of patients. These videos can be useful in emergency care instructions and provide information about how to administer CPR to a patient or help in forensic reconstructions; a doctor might explain a medical term to a patient in a friendly way, and they can also help patients understand complex procedures. We find it important to understand if students and schools, when challenged, take a role in their community preparedness for major health problems. Projects led by schools are addressed within educational scenarios focused on STEM education and developed under a relevant public health issue through their continuous engagement in open schooling approach. By implementing an educational scenario with a focus on 3D animation, and thus potentiate the use of this technology, we intend to help raise awareness on the public health theme. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
2023
Autores
Machado, I; Ferreira, J; Magalhaes, C; Sousa, P; Dias, L; Santarém, D; Sousa, N; Paredes, H; Abrantes, C;
Publicação
INTERNATIONAL ANGIOLOGY
Abstract
Background: In peripheral arterial disease (PAD) patients with intermittent claudication (IC), the combination of aerobic and resistance exercises could counteract muscle loss and attenuate disease progression. This study analyzed the effects of six months of a combined exercise program on walking ability, lower limb body composition, cardiovascular risk factors, and Ankle-Brachial Index (ABI). Methods: Twenty-three patients (age 63.2 +/- 1.5 years and ABI 0.58 +/- 0.07) with PAD and IC were allocated to a control group (CG) or a supervised exercise group (SUP). Ten patients underwent six months of treadmill walking combined with resistance exercises, three times a week. The CG (N.=13) received a recommendation for walking. All patients were measured at baseline (M0), after three months (M3), and six months (M6). Results: During constant treadmill protocol, the claudication onset time/distance (COT/COD), absolute claudication time/distance (ACT/ACD), and number of pauses of overall patients significantly improved at M3 and M6. Between groups were found significant differences in COT and COD at M6 (P=0.005 and P=0.007, respectively); and in ACT and ACD at M3 (P=0.003 for both) and at M6 (P=0.005 and P=0.005, respectively), with major improvements in the SUP. Over the six months, a significant group effect was found in fat-free mass (P=0.041) and predicted muscle mass (P=0.039) of the lower ABI leg, with greater improvements in the SUP. Conclusions: A supervised exercise program that combines aerobic and resistance training improves PAD symptoms and has additional benefits for patients. Patients in the program showed improvements in walking ability, lower-limb body composition, perceived exertion, and heart rate during treadmill walking.
2023
Autores
Rodrigues, S; Correia, R; Goncalves, R; Branco, F; Martins, J;
Publicação
SUSTAINABILITY
Abstract
The relevance of the tourism industry to the overall sustainability of rural territories grows along with the demand for rural tourism destinations. Likewise, as the digital transition of rural tour operators takes place, their marketing initiatives also evolve towards a digital nature, which is why it is crucial to comprehend how the overall calibre of these activities might affect the perception of rural places, while also motivating tourists' travel intentions and, as a result, promoting the general sustainability of the destination. Thus, in this paper, we propose a novel conceptual model based on Delone and McLean's representative model of Information Systems Success Model, on Tan and Wu's arguments on tourism destinations' image relationship with tourists' visit intentions, and also on Verma's tourism destination brand equity concept. To validate the proposed model, an online focus group was developed involving several specialists whose opinions and perspectives corroborated the potential adequacy of the proposed artefact and, consequently, assumed its contribution and value. From this validation process, it was possible to highlight that digital marketing initiatives' overall quality influences both rural destinations' image and tourists' intention to visit these territories, that a positive image will trigger tourists' visit behaviour, and that these behaviours represent a valuable asset to rural destinations' global sustainability.
2023
Autores
Mamede, H; Neves, JC; Martins, J; Goncalves, R; Branco, F;
Publicação
SENSORS
Abstract
Water scarcity is becoming an issue of more significant concern with a major impact on global sustainability. For it, new measures and approaches are urgently needed. Digital technologies and tools can play an essential role in improving the effectiveness and efficiency of current water management approaches. Therefore, a solution is proposed and validated, given the limited presence of models or technological architectures in the literature to support intelligent water management systems for domestic use. It is based on a layered architecture, fully designed to meet the needs of households and to do so through the adoption of technologies such as the Internet of Things and cloud computing. By developing a prototype and using it as a use case for testing purposes, we have concluded the positive impact of using such a solution. Considering this is a first contribution to overcome the problem, some issues will be addressed in a future work, namely, data and device security and energy and traffic optimisation issues, among several others.
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.