Abstract
The present study brings forward a simulation-based study of the production process of a Portuguese bakery. The main goal is to analyse different production processes and propose improvements, through the use of discrete event simulation. A relevant set of data was collected, and four productive processes were selected to be modelled using Simio software (Simulation Modelling based on Intelligent Objects). The analysis of the developed models highlighted the need for improvements and different scenarios were created to this purpose. Among the obtained results, it was found that the adoption of mixed production scenarios allowed the increase of the production level while maintaining the current existing resources. In conclusion, this study highlighted the ability of the simulation technique to analyse manufacturing processes, throughout the creation of different scenarios, providing insights on the production process optimising the companies' productive performance.

Abstract
Storytelling is a powerful marketing tool that can be used to attract the audience's attention and influence behavior. However, this investigation seeks to understand more deeply the importance of written narratives in the marketing field. In this sense, the objective of this article is to explore similarities and identify patterns, phases or stages, variables, indicators, and respective relationships (models) to help marketers to create storytelling. In the analogy of the visual methodology analytical process, this literature review created a selection of the sample and developed content to structure storytelling within the marketing framework. Through the analysis of 78 papers published in the Web of Science main collection, this research finds out three clusters: marketing cluster, content cluster, and context cluster. Our results indicate that, in marketing, storytelling elicits brand identification, awareness, and customer engagement, as well as it helps with self-expression, a sense of belonging, and a perception of the value of the product or brand. We find some variables, indicators, and respective relationships (models) that can be used in storytelling in the marketing field to improve value awareness. This review also allowed us to identify factors related to the structuring of marketing storytelling. And we found three key elements of the story construct that are transversal: content, classification, and character. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Abstract
O III Congresso Ibero-Americano de Empreendedorismo, Energia, Ambiente e Tecnologia (CIEEMAT), dá continuidade ao trabalho desenvolvido no Brasil pelo Centro Federal de Educação Tecnológica Celso Suckow da Fonseca – Rio de Janeiro, atravessando o oceano Atlântico para a sua primeira edição no contexto da Península Ibérica. Concebido para englobar um conjunto abrangente de áreas temáticas, este evento serve de ponto de encontro entre profissionais, investigadores, professores e estudantes dos países Ibero-Americanos, num fórum que reforça o perfil internacional do Instituto Politécnico de Bragança, assim como das demais Instituições Organizadoras e Parceiras, designadamente, no âmbito de Programas de Dupla Diplomação. Nos três dias do evento, esperamos que encontrem oportunidades para a partilha de ideias e resultados de investigação, reforçando ou estabelecendo novos contactos e parcerias no espaço Latino-Americano. Por fim, espero que a Vossa estadia em Bragança seja agradável e que levem de volta gratas recordações do CIEEMAT 2017.

Abstract
No sentido de combater doenças que afetam as populações, existe um grande interesse na utilização de métodos quantitativos que se baseiam em modelos matemáticos. Os modelos epidemiológicos simulam a dinâmica infeciosa nas populações, ou seja, o aumento ou diminuição do número de infetados. Através destes modelos é possível fazer estimativas e provisões sobre o alcance da epidemia. Por outro lado permitem também prever o efeito de certas medidas preventivas, como por exemplo a vacinação Neste projeto exploram-se os modelos estocásticos para simular a evolução de um surto infecioso em diferentes contextos. Os modelos são implementados utilizando os métodos de simulação aleatória de Monte Carlo. O caso estudado consiste na propaga- ção de uma infeção numa enfermaria hospitalar, onde foram consideradas diferentes taxa de contágio, de mobilidade e de vacinação. Procura-se também fazer a simulação através do método das Cadeias de Markov de forma a tirar partido das suas vantagens computacionais. Esta técnica foi implementada para modelar uma epidemia numa população homogénea uniformemente misturada. Após obter os resultados das simulações, foram apresentadas as conclusões relativas aos métodos de Monte Carlo e método das cadeias de Markov.

Abstract
The evolution of technology and the increasing connectivity between devices lead to an increased risk of cyberattacks. Good protection systems, such as Intrusion Detection System (IDS) and Intrusion Prevention System (IPS), are essential in trying to prevent, detect and counter most of the attacks. However, the increasing creativity and type of attacks raise the need for more resources and processing power for the protection systems which, in turn, requires horizontal scalability to keep up with the massive companies' network infrastructure and with the complexity of attacks. Technologies like machine learning, show promising results and can be of added value in the detection and prevention of attacks in real-time. But good algorithms and tools are not enough. They require reliable and solid datasets to be able to effectively train the protection systems. The development of a good dataset requires horizontal-scalable, robust, modular and fault-tolerance systems, so that the analyses may be done also in real-time. This paper describes an architecture for horizontal-scaling capture architecture, able to collect packets from multiple sources and prepared for real-time analysis. It depends on multiple modular nodes with specific roles to support different algorithms and tools.

Abstract
This study presents a simulation-based procedure to analyse a production line of a metalworking company. We use a simulation tool, ProModel ® software, to reproduce the existing production line layout of the company best-selling product which represents about 70% of the total sales. Our purpose is to get information about the existing system behaviour, and to find strategies to increase actual production level to meet the market’s demand. Based on an initial simulation model, different production scenarios were proposed and results have shown that it is possible to increase the production level allowing to meet the increasing demand for the product. The following changes in the production system were considered: (i) the use of intermediate stock of work-in-process items, (ii) the introduction of new equipment, and (iii) a mixed strategy where the introduction of new equipment is combined with the use of intermediate stock of work-in-process items. In summary, this research exhibits the flexibility of the simulation technique to address manufacturing problems throughout the creation of different scenarios providing some of the behaviour of the systems allowing the anticipation of final outputs. © 2021, Springer Nature Switzerland AG.