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- The viability of telesurgery service in the autonomous region of the azores, supported by the 5g networkPublication . Sousa, Gualter de Medeiros de; Santos, Arnaldo5G network technology is considered one of the driving forces behind various societal changes. Among multiple uses, it offers Telesurgery. In situations where the patient needs specialized surgery, but there are no conditions to be transported to where the surgical intervention can be performed, Telesurgery allows access to the procedure with all the security that 5G network technology offers. The Autonomous Region of the Azores (ARA) is considered an outermost region which is an integral part of the EU (despite the thousands of kilometres that separate it from the European continent). Therefore, the EU law applies to these regions with all rights and duties associated. The Support Service to the Displaced Patient (SADD) accompanies annually and under normal conditions an average of more than 1500 patients from the Azores. They travel to the mainland for health reasons. This scenario is applied across islands, where an average of 550 patients moved annually from islands without a hospital to islands with a hospital. As a result, health costs rise in this Region. This paper will use the survey research methodology since it is the most appropriate method when we want to obtain answers/data that express opinions, customs or characteristics of a certain target audience. Therefore, a mixed mode will be used, namely interviews and questionnaires, having as scientific target areas medicine and engineering, in the specialities of gastroenterology and telecommunications, to support the research questions. This paper aims to present research on the viability of Telesurgery in the Autonomous Region of the Azores, supported by the 5G network, as an alternative for travelling patients.
- Personalization of a learning environment supported by AI for vocational training based on skills required: a research proposalPublication . Aplugi, Glória; Santos, Arnaldo; Cravino, JoséThe learning environment is an essential part of teaching and learning. Its personalization has several advantages (e.g., guaranteeing learning quality or effective learning). In vocational education, a personalized learning environment might provide training most suitable to each professional according to individual characteristics, skills, or career path. Artificial intelligence's ability to process big data can be harnessed to personalize a learning environment. This work intends to investigate the personalization of a learning environment using artificial intel-ligence (AI) in vocational training that can provide relevant training based on the trainees' skills required. A framework will be proposed to personalize a learning environment in this scope. Its development will follow the design science re-search (DSR) methodology. During the process, the survey methodology (expert interviews and focus groups) will be conducted to validate the artifact require-ments and evaluate our future framework.