Intenção de Abandono Escolar dos Estudantes do Ensino Superior: Fatores Relacionais e de Gestão de Vida

Ferreira, M., Campos, S., Guiné, R., Duarte, J., Abrantes, J. L., Rosário Cabral, L. & Balula, J. (2021). Intenção de Abandono Escolar dos Estudantes do Ensino Superior: Fatores Relacionais e de Gestão de Vida. In Competências emocionais e prevenção do abandono no ensino superior (pp. 102-113). Viseu, Portugal: Edições Esgotadas.

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Carbon Footprint of Tourism Sector in Portugal—Calculator Development

Fernandes, M., Neves, P., Araújo, P., Brás, I., Silva, E. (2021). Carbon Footprint of Tourism Sector in Portugal—Calculator Development. Journal of Tourism and Hospitality Management, 9(6), 365-380. DOI: 10.17265/2328-2169/2021.06.004

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A Cradle-to-Grave Life Cycle Assessment Study on a New Countertop Material

Silva, L., Silva, M., Bras, I., Domingos, I., Wessel, D., Ferreira, J. (2021). A Cradle-to-Grave Life Cycle Assessment Study on a New Countertop Material. Journal of Ecological Engineering, 22(11), 239-245. DOI: 10.12911/22998993/142947

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Carbon Footprint of Tourism Sector in Portugal – Study Case of a 3-Stars Hotel

Fernandes, M., Neves, P., Araújo, P., Brás, I., Silva, E. (2021). Carbon Footprint of Tourism Sector in Portugal – Study Case of a 3-Stars Hotel. In C. Cobanoglu, E. Gunlu Kucukaltan, M. Tuna, A. Basoda, & S. Dogan (Eds.), Advances in managing tourism across continents (Vol. 1, pp. 600–614). USF M3 Publishing. https://www.doi.org/10.5038/9781955833004

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Virtual Physiology: A Tool for the 21st Century

Nóbrega, C., Aires Pereira, M., Coelho, C., Brás, I., Cristina Mega, A., Santos, C., Esteves, F., et al. (2021). Virtual Physiology: A Tool for the 21st Century. In Updates on Veterinary Anatomy and Physiology. IntechOpen. DOI: 10.5772/intechopen.99671

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The Impacts of Emerging Technologies on Accountants’ Role and Skills: Connecting to Open Innovation—A Systematic Literature Review

Kroon, N., Alves, M. C., Martins, I. (2021). The Impacts of Emerging Technologies on Accountants’ Role and Skills: Connecting to Open Innovation—A Systematic Literature Review. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 163. DOI: 10.3390/joitmc7030163

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An Application for Risk of Crime Prediction Using Machine Learning

Fonseca, L., Pinto, F. C., Sargento, S. (2021). An Application for Risk of Crime Prediction Using Machine Learning. World Academy of Science, Engineering and Technology International Journal of Computer and Systems Engineering, 15(2), 166-174). Retrieved from https://publications.waset.org/10011881/an-application-for-risk-of-crime-prediction-using-machine-learning

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Intrusion and anomaly detection for the next-generation of industrial automation and control systems

Rosa, L., Cruz, T., Freitas, M. B., Quitério, P., Henriques, J., Caldeira, F., Monteiro, E., Simões, P. (2021). Intrusion and anomaly detection for the next-generation of industrial automation and control systems. Future Generation Computer Systems, (119), 50-67. DOI: 10.1016/j.future.2021.01.033

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