2025
Authors
Oliveira, J; Rocha, T; Barroso, J;
Publication
Technology for Inclusion and Participation for All: Recent Achievements and Future Directions
Abstract
2025
Authors
Blomme, RF; Domissy, Z; Dylik, Z; Hidding, T; Röhe, A; Duarte, AJ; Malheiro, B; Ribeiro, C; Justo, J; Silva, MF; Ferreira, P; Guedes, P;
Publication
FUTUREPROOFING ENGINEERING EDUCATION FOR GLOBAL RESPONSIBILITY, ICL2024, VOL 3
Abstract
The European Project Semester (EPS) at Instituto Superior de Engenharia do Porto (ISEP) is a capstone engineering design program where students, organised in multidisciplinary and multicultural teams, create a solution for a proposed problem, bearing in mind ethical, sustainability and market concerns. The project proposals are usually aligned with the United Nations Sustainable Development Goals (SDG). New sustainable food production methods are essential to cope with the continuous population growth and aligned with SDG2 and SDG12. In this context, this paper describes the research and work done by a team of Erasmus students enrolled in EPS@ISEP during the spring of 2022. Since sustainable algae farming can be a suitable source of food, the team's goal was the design and develop a proof-of-concept prototype, named GREEN center dot flow, of a symbiotic aquaponic system to farm algae and fish. The smart GREEN center dot flow concept comprises a modular structure and an app for control and supervision. The proposed design was driven by state-of-the-art research, targeted to a specific market niche based on a market analysis, and considering sustainability and ethics concerns, all of which are described in this manuscript. A proof-of-concept prototype was built and tested to verify that it worked as intended.
2025
Authors
Martins, R; Barbosa, B;
Publication
Journal of Small Business and Entrepreneurship
Abstract
The Metaverse is attracting significant investment and promises to transform value creation and business competitiveness. While Small and Medium-Sized Enterprises (SMEs) are exploring its use to overcome resource limitations and enhance operations, its role in facilitating internationalization remains unclear. This study fills a research gap by investigating how the Metaverse can support SMEs in overcoming internationalization challenges through value creation, capture, and delivery. A Metaverse-based framework was developed and validated using a three-round Delphi approach with international business professionals and Metaverse specialists. This study confirmed that the Metaverse offers SMEs distinct opportunities to enhance value creation, capture, and delivery in the internationalization process. In value creation, it supports broader product offerings (e.g. digital twins), improved efficiency, and co-creation through superior knowledge management and deeper insights into consumer preferences. For value capture, the Metaverse enables access to new revenue models, demand forecasting through simulation, and better resource utilization, helping SMEs overcome regulatory and cultural barriers. In terms of value delivery, immersive interactions and real-time communication facilitate international collaboration, improve customer engagement, and extend global market reach. Overall, the Metaverse helps SMEs address internationalization challenges linked to firm size, resource constraints, and market complexity, ultimately strengthening their competitive advantage in international contexts. © 2025 Elsevier B.V., All rights reserved.
2025
Authors
Mendonça, M; Figueira, A;
Publication
CoRR
Abstract
2025
Authors
Bruno Palley; João Poças Martins; Hermano Bernanrdo; Rosaldo J. F. Rossetti;
Publication
Abstract
2025
Authors
Santos, Natália; Bernardes, Gilberto;
Publication
Abstract
Music therapy has emerged as a promising approach to support various mental health conditions, offering non-pharmacological therapies with evidence of improved well-being. Rapid advancements in artificial intelligence (AI) have recently opened new possibilities for ‘personalized’ musical interventions in mental health care. This article explores the application of AI in the context of mental health, focusing on the use of machine learning (ML), deep learning (DL), and generative music (GM) to personalize musical interventions. The methodology included a scoping review in the Scopus and PubMed databases, using keywords denoting emerging AI technologies, music-related contexts, and application domains within mental health and well-being. Identified research lines encompass the analysis and generation of emotional patterns in music using ML, DL, and GM techniques to create musical experiences adapted to user needs. The results highlight that these technologies effectively promote emotional and cognitive well-being, enabling personalized interventions that expand mental health therapies.
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