Abstract
This paper studies a real world dedicated parallel machine scheduling problem with sequence dependent setups, different machine release dates and additional resources (PMSR). To solve this problem, two previously proposed models have been adapted and a novel objective function, the minimisation of the sum of the machine completion times, is proposed to reflect the real conditions of the manufacturing environment that motivates this work. One model follows the strip-packing approach and the other is time-indexed. The solutions obtained show that the new objective function provides a compact production schedule that allows the simultaneous minimisation of machine idle times and setup times. In conclusion, this study provides valuable insights into the effectiveness of different models for solving PMSR problems in real-world contexts and gives directions for future research in this area using complementary approaches such as matheuristics.

Abstract
STEM education advances at the same rate as the need for new and more evolved tools. This article introduces the latest version of the Kid Grígora educational robot, based on the work of Barradas et al. (2019). Targeted for students aged 8 to 18, the robot serves as an interdisciplinary teaching tool, integrated into STEM curricula. The upgraded version corrects what we’ve learned from a real test with 177 students from a Portuguese school and adds other features that allow this new robot to be used in even more educational STEM and problem-solving scenarios. We focused on the creation of a second beta version of the prototype, named Stemie, and its heuristic evaluation by three experts. After all the issues and suggestions from the experts have been resolved and implemented, the new version is ready for usability evaluation.

Abstract
The Single Supervisory Mechanism (SSM) was implemented as a first step towards a Banking Union in November 2014. This paper investigates the impact of the SSM on Eurozone banks' efficiency and position of best-practice frontier. It is based on a balanced panel analysis of 931 European bank-year observations from 2011 to 2017 (133 banks, seven years). The study uses Data Envelopment Analysis and a difference-in-differences approach to explore the evolution of banking performance. We found that the SSM had a negative impact on the efficiency levels of Eurozone banks, particularly in the year after the introduction of the mechanism. Additionally, we observed that the frontier formed by non-Eurozone European Union banks is more productive than the frontier of Eurozone banks in all the years analysed. Both efficiency and frontier position show evidence of a recovery trend in more recent years for both groups. We also found that while Equity-to-Asset Ratio, Return on Average Assets and Gross Domestic Product per capita positively impacted banks' efficiency, domestic credit provided by banks expressed as %GDP had a negative impact on efficiency.

Abstract
O artigo apresenta e discute o processo de cocriação da KaTolândia, um planeta de gatos que se encontra em desenvolvimento no metaverso Roblox. O objetivo da KaTolândia é propiciar a aprendizagem imersiva, num habitar engajado que instiga o processo inventivo no desenvolvimento de vivências em rede na Rede ConectaKaT. A pesquisa, fundamentada no conceito de Educação OnLIFE, se desenvolve a partir do Método Cartográfico de Pesquisa-Intervenção. O percurso de cocriação envolve crianças e adolescentes que integram a Rede ConectaKaT, assim como professores e pesquisadores do Brasil e de Portugal. Como resultados preliminares apresenta-se o percurso de invenção da narrativa que dá origem à KaTolândia, bem como vivências de aprendizagem imersiva identificadas no processo de cocriação do próprio espaço/mundo no Roblox, o qual se pretende que seja enriquecido por elementos da gamificação. Evidencia-se ainda, que a gamificação pode contribuir para ampliar as possibilidades de inventar, fazendo emergir novas problematizações. Deste modo, a KaTolândia está configurando-se como um espaço potente para o desenvolvimento de práticas pedagógicas inventivas, contribuindo para um habitar imersivo e engajado do ensinar e do aprender.

Abstract
Autonomous Mobile Robots (AMRs) and Automated Guided Vehicles (AGVs) have emerged as key innovations in the industry world, with AMRs offering flexibility a nd adaptability for dynamic environments, while AGVs provide high accuracy for repetitive tasks; thus, this research proposes a study of fleets of both AGVs and AMRs to enhance productivity and efficiency in industrial settings. Several tests were performed where the duration of a mission, the success and collision rate, and the average number of disputes per mission were analyzed in order to obtain results. In conclusion, while AGVs tend to be more reliable and consistent in task completion, AMRs offer greater flexibility a nd speed.

Abstract