Abstract
High-performance cyber-physical applications impose several requirements with respect to performance, functional correctness and non-functional aspects. Nowadays, the design of these systems usually follows a model-driven approach, where models generate executable applications, usually with an automated approach. As these applications might execute in different parallel environments, their behavior becomes very hard to predict, and making the verification of non-functional requirements complicated. In this regard, it is crucial to analyse and understand the impact that the mapping and scheduling of computation have on the real-time response of the applications. In fact, different strategies in these steps of the parallel orchestration may produce significantly different interference, leading to different timing behaviour. Tuning the application parameters and the system configuration proves to be one of the most fitting solutions. The design space can however be very cumbersome for a developer to test manually all combinations of application and system configurations. This paper presents a methodology and a toolset to profile, analyse, and configure the timing behaviour of highperformance cyber-physical applications and the target platforms. The methodology leverages on the possibility of generating a task dependency graph representing the parallel computation to evaluate, through measurements, different mapping configurations and select the one that minimizes response time.

Abstract

Abstract
In the evolving landscape of global education, Artificial Intelligence's (AI) integration into Learning Management Systems (LMS) promises a transformative shift. This paper presents Mozambique's journey in this domain, comparing it with global advancements. While the Mozambican higher education sector stands at the cusp of a digital revolution, its engagement with AI in LMS remains foundational. This is juxtaposed against the global trend where AI tools, such as ChatGPT, are rapidly becoming standard in many educational platforms, enhancing personalization, efficiency, and data-driven insights. The benefits of AI integration, such as tailored learning experiences and administrative automation, are counterbalanced by challenges, including data privacy concerns and over-reliance on technology. Drawing from real-world case studies, the paper highlights pioneering endeavours that showcase AI's potential in reshaping educational paradigms. As Mozambique navigates its unique challenges, insights from global best practices offer a roadmap for harnessing the transformative potential of AI in LMS, aiming to elevate its higher education sector to new heights.;Na evolução da educação global, a integração da Inteligência Artificial (IA) nos Sistemas de Gestão de Aprendizagem (LMS) promete uma transformação significativa. Este artigo investiga a jornada de Moçambique neste domínio, comparando-a com os avanços globais. Enquanto o setor de ensino superior moçambicano está à beira de uma revolução digital, seu envolvimento com a IA em LMS ainda está em uma fase inicial. Isso é contrastado com a tendência global, onde ferramentas de IA, como o ChatGPT, estão rapidamente se a se tornar padrão em muitas plataformas educativas, aprimorando a personalização, eficiência e insights baseados em dados. Os benefícios da integração da IA, como experiências de aprendizagem adaptadas e automação administrativa, são equilibrados por desafios, incluindo preocupações com a privacidade dos dados e excesso de dependência da tecnologia. Através de estudos de caso do mundo real, o artigo destaca esforços pioneiros que mostram o potencial da IA em remodelar os paradigmas educacionais. Enquanto Moçambique navega pelos seus desafios únicos, os insights das melhores práticas globais oferecem um roteiro para aproveitar o potencial transformador da IA em SGA, com o objetivo de elevar seu setor de ensino superior a novos patamares.

Abstract
The intensive use of electronic equipment and the growing offer of services over the Internet has increased the incidence of computer crime. Although there are public measures in Portugal aimed at promoting the digital skills of citizens in matters of security and privacy of electronic equipment, they need to address the more complex aspects of this type of crime. Due to this specificity, preventive measures of the phenomenon may benefit from the know-how and experience of entities with legal powers in the area, especially the National Center for Cybersecurity (CNCS), the Public Prosecutor's Office (MP), and the Judicial Police (PJ). In the public administration in Portugal, emerging technologies based on artificial intelligence (AI) are being adopted to enhance communication between the State and citizens. Awareness-raising extensive actions should make use of these technological tools. Thus, this article describes the research leading to the identification of an efficient electronic device (artifact) in an e-government context aimed at informing and raising awareness among citizens about the growing phenomenon of cybercrime.

Abstract
Os produtores da agricultura familiar são considerados uma classe específica no sistema social, visto que reúnem características das duas outras classes sociais, assim, ao mesmo tempo em que atuam como donos dos meios de produção também são trabalhadores. Nesse sentido o sistema de criação deve evitar erros de manejo sanitário para possibilitar uma maximização do lucro para os produtores. Dentre os erros mais comuns estão os que possibilitam as doenças parasitárias constituindo um dos principais entraves quando o manejo é inadequado. Portanto, o objetivo deste trabalho foi identificar a influência das doenças parasitárias na produção de subsistência do pequeno produtor da agricultura familiar. Foram visitadas 30 propriedades rurais escolhidas aleatoriamente na região Oeste Potiguar da zona rural do município de Mossoró, onde foi realizado um diagnóstico parasitário de endoparasitos (contagem de ovos por grama e larvas) e ectoparasitos. De acordo com o local e diagnóstico parasitários foram identificados ovos de Strongyloidea em 100% (30/30) das propriedades, Moniezia 23,3% (7/30) e oocistos de Eimeria 73,3% (22/30). As larvas identificadas por propriedade foram Haemonchus spp 90% (27/30), Trichostrongylus spp 86,6% (26/30), Oesophagostomum spp 20% (6/30) e Trichuris spp 3,3% (1/30). Quanto aos ectoparasitos foram identificados por locais de coleta em Damalinia caprae 46,6% (14/30) e Rhipicephalus microplus 10% (3/30). Concluindo que os produtores pesquisados apresentam criação de rebanhos caprinos com erros de manejo sanitário, ocasionando a presença de ecto e endoparasitos que podem influenciar nos baixos lucros associado a elevados gastos.

Abstract
Designing systems to serve a large number of people, who have similar demands, but also have varied needs and generate a huge volume of data, requires a software architecture that allows constant evolution, is easy to maintain, and has the ability to scale smartly. The SPL technique with microservices architecture seems promising to meet these requirements, but this integration is not trivial. Thus, we conduct a SLR that identified 3 architectures that proposed the combination of these techniques. However, the architectures found were complex and reduced time-to-market, as they proposed the implementation of all resources through microservices. Thus, in order to reduce the complexity of development and, consequently, reduce the time to market, this work presents a proposal for the design of a hybrid SPL architecture, through the combination of large backend APIs and microservices. In addition, this research paper presents a case study that consisted of defining the architecture of a medical clinics SPL as a Multi-tenant Software as a Service. Finally, we compare the complexity of the architecture generated using our approach, with a microservice architecture constructed using other approach found in literature.