Biblioteca Digital do IPB
Repositório de Publicações do Instituto Politécnico de Bragança
Entradas recentes
Defining industrial tourism in the cross-border region of Portugal and Spain
Publication . Scalabrini, Elaine C.B.; Alves, Francisco; Neto, Reginaldo; Teixeira, Felipe L.; García, Joaquín; Velasco, Míguel; Teixeira, João Paulo; Vaz, Roberto Ivo; Fernandes, Paula Odete; .
This paper deals with the definition and valorisation of industrial and pre-industrial tourism in the crossborder region of Terras de Trás-os-Montes (Portugal) and Castilla y León (Spain). Industrial and preindustrial heritage is crucial to collective memory and has significant cultural, historical and tourist value. Industrial tourism is emerging as an initiative that enhances historic landscapes and contributes to urban development, the revitalisation of communities and the preservation of heritage. It is considered an innovative strategy for rehabilitating territories, transforming old facilities into attractions, exploring historic sites or operating companies. The “IN_GENIOS_DUERO_DOURO” project focused on promoting this heritage in the Douro-Duero Euroregion. The methodology included detailed mapping and characterisation, creating a database with 1,079 sites identified in 22 Portuguese and 80 Spanish municipalities. The results show that most sites are in Spain (77.1 %). The municipalities with the most identified sites are Valladolid (250) in Spain and Mirandela (32) in Portugal. The main heritage categories include transport infrastructure (335), wineries (255) and the food industry (221). Around 47.27 per cent of the sites identified are accessible to tourists. The database created is fundamental for valuing, safeguarding and designing tourist routes.
Adoption of wearables: a UTAUT2 perspective
Publication . Lopes, Isabel Lopes; Oliveira, Pedro; IX Regional Helix'25 Transforming regions through innovation, sustainability and collaboration
This research sought to understand the adoption of Wearable devices, analyzing aspects such as
demographic profiles, experiences with technology and personal perceptions. An adaptation of the
UTAUT2 model was made, obtaining responses from university students and frequent internet users
through a survey using the Likert scale questions was administered to 96 participants. Based on the
analysis, there was a tendency for higher acceptance among younger people, those with higher levels
of education and greater technological proficiency among men and more qualified individuals. The
Smartwatch stood out among the devices, followed by the Fitness Bracelet and the Smart Ring. A
variation in social influence was observed according to the type of apparatus. Unexpectedly, social
influence has not proven to be as crucial in the acceptance of wearable devices as initially thought. The
results show a trend towards the adoption of these devices, while also warning of challenges linked to
the perceived value and price of products.
Increasing motivation and learning in digital manufacturing: blended intensive programs for STUDENTS
Publication . Rocha, João; Deusdado, Leonel; Santos, Jorge; Rocha, Catarina; Lopes, Isabel Maria; Ribeiro, J.E.
This article explores an innovative approach to teaching digital manufacturing, with a particular focus on additive manufacturing, through a structured set of tasks involving 3D scanning and printing. The pedagogical project stands out for its unique integration of international students from multiple institutions and diverse academic backgrounds, made possible through the Blended Intensive Program (BIP). This program brought together students from various disciplines within Science, Technology, Engineering, Arts, and Mathematics (STEAM), fostering an interdisciplinary learning environment. By engaging students in hands-on activities that combine theoretical knowledge with practical
implementation, the program encourages active participation and collaborative problem- solving. Participants worked in multicultural teams, sharing expertise and experiences to
overcome technical challenges related to digitalization and additive manufacturing. Research findings indicate that this approach yields excellent results in terms of student engagement, motivation, and learning outcomes. The structured yet flexible nature of the program allows students to develop both technical and creative skills while working in a dynamic, competitive environment. Furthermore, the BIP framework enhances students’ ability to adapt to real-world scenarios, where teamwork and interdisciplinary collaboration are essential. By integrating practical experience with theoretical instruction, this approach strengthens their problem-solving abilities and prepares them for future professional challenges in the rapidly evolving field of digital manufacturing.
Multivariate Chemometric analysis of chemical diversity in French winter and spring Lupinus albus L. varieties
Publication . Ayuso, Manuel; Silveira, Tayse F. F. da; Almeida, Daiana; Harzic, Natalie; Gagnaire, Valérie; Aguiló-Aguayo, Ingrid; Barros, Lillian
White lupin (Lupinus albus L.) is a nutrient-rich legume well-adapted to Mediterranean climates and tolerant of abiotic stress. Therefore, lupins represent a sustainable crop option with high potential for use in areas where climate change impacts are intensifying. This study analysed eight cultivars, four winter and four spring ecotypes, to assess differences in nutritional and bioactive compounds. Key compounds studied included proteins, fats, carbohydrates, tocopherols, and phenolics. Spring ecotypes like 'Sulimo' and 'Energy' showed higher protein and tocopherol content, which may be ideal for protein-rich, antioxidant-rich diets. Winter ecotypes such as 'Angus' had more carbohydrates, especially fructose and raffinose, which could benefit energy and gut health. Both ecotypes showed high fibre levels, supporting digestive health. The findings suggest that ecotype influences chemical composition significantly, and each offers distinct benefits for targeted nutritional and functional food applications.
Empowering olive cultivation with artificial intelligence: a systematic literature review on advancements and prospects
Publication . Mendes, João; Lima, José; Costa, Lino; Pereira, Ana I.
This study provides a Systematic Literature Review on the application of Artificial Intelligence algorithms in the primary sector of olive cultivation. It compiles and analyses a collection of studies that leverage AI to enhance the efficiency and sustainability of olive production, maintenance, and harvesting processes. In this study, 43 papers were reviewed from the databases IEEE, Scopus, and Web of Science through the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method. This research aims to identify AI applications in the primary olive growing sector. The findings highlight a significant trend toward adopting advanced AI techniques, particularly Deep Learning algorithms such as Convolutional Neural Networks, for many tasks ranging from cultivar identification and foliar disease classification to crop yield forecasting with high accuracies.