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- Projeto Bem-estar digital: uma investigação-ação participativaPublication . Marôpo, Lídia; Kubrusly, Ana; Batista, Susana; Torres, João; Duarte, JoãoEste relatório apresenta os resultados do projeto Bem-estar digital: uma investigação-ação participativa (BED), financiado pelo concurso IPS & Santander InovPed 2024/2025 de apoio à inovação pedagógica. O objetivo é promover o uso das tecnologias digitais em equilíbrio com o bem-estar físico, mental e social, por meio da educação entre pares num processo de investigação-ação. Para tal, estudantes do 1º ano da Licenciatura em Comunicação Social (LCS) da Escola Superior de Educação do Instituto Politécnico de Setúbal receberam formação para realizar workshops com alunos do ensino secundário. Nesta perspetiva, aprenderam estratégias e ferramentas para o bem-estar digital, desenvolveram competências de investigação, disseminação de conhecimentos e produção de conteúdos multimédia. Ao todo, participaram 34 estudantes da LCS que criaram em conjunto um guião e materiais didáticos para a realização de 8 workshops com 178 alunos do ensino secundário. Desenvolveram ainda relatórios sobre esta experiência de investigação-ação participativa, websites com os resultados do projeto e vídeos educativos sobre o tema.
- Book of Abstracts of the 2nd International Conference on Resilience and Sustainable RegionsPublication . Costa, Teresa; Severino, Filipe Segurado; Galvão, Susana; Gomes, Ana Gabriela
- O contributo dos trava-línguas e das lengalengas no desenvolvimento de competências linguísticas no 1.º ciclo do ensino básicoPublication . Quadrada, Sara Helena Rodrigues da; Pires,, Natália de Jesus Albino; Silva, , Sofia de Lurdes Rosas daO presente Relatório Final procura compreender de que forma os textos da literatura tradicional (particularmente os trava-línguas e as lengalengas) podem potenciar o desenvolvimento das competências linguísticas das crianças, essenciais para a aprendizagem da leitura e da escrita. A investigação, seguindo a metodologia de investigação-ação, de natureza qualitativa, foi conduzida numa turma de 1.º ano, composta por vinte alunos, ao longo de três sessões de noventa minutos. As atividades centraram-se na exploração de trava-línguas e lengalengas, envolvendo também a participação das famílias. Através da implementação da sequência didática demonstrou-se o potencial destes textos tradicionais como ferramentas pedagógicas de elevada eficácia. A análise das produções orais e escritas dos alunos revelou progressos significativos nas dimensões da consciência linguística, nomeadamente ao nível da consciência fonológica (articulação e manipulação de sons), lexical (expansão de vocabulário) e sintática (estruturação de frases), favorecendo ainda a articulação verbal, a criatividade e a valorização da cultura popular. O carácter lúdico fomentou a motivação e o envolvimento dos alunos, facilitando a automatização de processos fundamentais para a leitura e escrita. Os resultados confirmam o potencial pedagógico dos textos de literatura tradicional e reforçam a importância da oralidade como via para a aprendizagem da língua portuguesa e para a formação integral dos alunos.
- A nova estratégia de segurança dos EUAPublication . Gaspar, Carlos; Daehnhart, Patrícia; Rato, Vasco; Cunha, Alberto; Instituto da Defesa Nacional
- Major revision version 13.0 of the European AIDS Clinical Society guidelines 2025.Publication . Ambrosioni, Juan; Levi, Laura I; Alagaratnam, Jasmini; Sempere, Abiu; Mastrangelo, Andrea; Paioni, Paolo; Mussini, Cristina; Marzolini, Catia; Nielsen, Susanne Dam; Béguelin, Charles; Welch, Steven; Koval, Anna; Penim Mendão, Luís Manuel; Bamford, Alasdair; Calmy, Alexandra; Guaraldi, Giovanni; Oprea, Cristiana; Martínez, Esteban; Rockstroh, Jürgen KThe European AIDS Clinical Society (EACS) guidelines were revised for the 21st time in 2025, with updates covering all aspects of HIV care.
- Mental health of portuguese nurses in 2024 : what has changed since 2017? a cross-sectional observational comparative studyPublication . Seabra, Paulo; Lopes, Joaquim Oliveira; Pessoa, Ezequiel; Capelas, Manuel LuisBackground: Nurses’ mental health has become an increasingly pressing concern worldwide because of its impact on health systems, patient health outcomes, job satisfaction, and workforce attrition. Aim: This study updates and compares findings from a national survey initially conducted in 2017 to assess the mental health of Portuguese nurses and examine associations with socio-professional variables. Methods: This cross-sectional observational study was expanded to include 1894 nurses working in hospitals, primary care, and other settings. The General Health Questionnaire-24 was used to assess mental health perception. Results: Results indicate a substantial decline in mental health perceptions across all indicators compared with 2017. Participants reported more negative assessments of overall mental health, with notable increases in somatic symptoms, anxiety and insomnia (the most affected domain), social dysfunction, and severe depression. Moreover, participants reported increased use of psychotropic drugs. Protective factors identified include specialised training, increased time off (particularly weekends), and engagement in sports or hobbies. Conclusions: Being the largest group in Portugal’s healthcare workforce, and reflected globally, nurses play a pivotal role in the health system. Their mental well-being directly impacts patient care quality and safety. These findings support the implementation of targeted strategies to safeguard nurses’ mental health and enhance healthcare delivery.
- ARTIFICIAL INTELLIGENCE–BASED SUPER NODES FOR REAL-TIME THREAT DETECTION IN DISTRIBUTED ENVIRONMENTS BIBLIOMETRIC ANALYSISPublication . Lopes, José; Dias Lousã, Mário Jorge; Dias Lousã, Mário Jorge; Pereira de Morais, José Carlos; Pereira de Morais, José Carlos; Morais, José Carlos; Lousã, MárioThe widespread adoption of distributed systems, driven by the growth of the Internet of Things (IoT), edge computing, and cloud infrastructure, has substantially expanded the attack surface of modern digital ecosystems. These environments, characterized by high heterogeneity, large data volumes, and stringent latency requirements, make real-time threat detection a complex task. Traditional, pre-dominantly centralized security mechanisms reveal clear limitations in scalability and response time in the face of increasingly dynamic attack patterns. In this context, Artificial Intelligence (AI) and Machine Learning have emerged as essential enablers for more effective intrusion detection. At the same time, the concept of “super nodes” is gaining prominence: strategically positioned network elements with enhanced computational capabilities that act as intelligent intermediaries between edge devices and the central cloud. This study presents a bibliometric analysis of the use of AI-based super nodes for real-time threat detection. The analysis focuses on a sample of 300 publications indexed in the Lens.org database (2015–2025), selected according to the PRISMA 2020 guidelines. Through descriptive indicators and network analysis (such as keyword co-occurrence), research trends, the-matic structures, and emerging directions in this field are identified.
- SECURITY AND RISK IN SOFTWARE DEVELOPMENT PROJECTS: A BIBLIOMETRIC REVIEWPublication . Conceição, Francisco; Dias Lousã, Mário Jorge; Dias Lousã, Mário Jorge; Pereira de Morais, José Carlos; Pereira de Morais, José Carlos; Morais, José Carlos; Lousã, MárioSecurity analysis is increasingly central to software development as organizations face rising cyber risk and regulatory pressure. Although extensive research exists on cyber risk assessment, secure software development, and security requirements, the literature remains fragmented at the project level. This study presents a bibliometric analysis of research published between 2015 and 2026, using data retrieved exclusively from The Lens and structured through a PRISMA-guided workflow. Only journal and conference publications addressing security analysis within software development pro-jects were retained, while studies focused solely on isolated technical vulnerabilities or non-project contexts were excluded, resulting in a final dataset of 1,008 documents. The dataset was analyzed using descriptive bibliometrics, collaboration and geographical analysis, field-of-study classifica-tion, keyword co-occurrence, co-citation, and bibliographic coupling, supported by VOSviewer. Re-sults show sustained growth after 2019 and strong dominance of computer science and software en-gineering. Influential contributions cluster around secure SDLC frameworks, ISO/NIST standards, requirement decomposition, and emerging quantitative risk models. Despite this consolidation, the analysis reveals persistent gaps, including weak integration between cyber risk assessment and re-quirements engineering, limited project-level operationalization of security attributes, and a scarcity of approaches tailored to small and medium-sized enterprises (SMEs). These findings highlight the need for integrated, requirement-driven security analysis frameworks that bridge technical and or-ganizational perspectives within software development projects.
- MALVERTISING AS A VECTOR OF CYBERCRIME IN DIGITAL PLATFORMSPublication . Sousa, João; Morais, José Carlos; Lousã, MárioThe usage of malvertising, which exploits advertising networks to send malware, ransomware, and phishing techniques while evading traditional security measures, has become a significant avenue for criminality on digital platforms. This study provides a bibliometric analysis of 236 papers from The Lens database, focusing on the evolution of scientific output, author collaboration patterns, and theme frameworks in malvertising research. Using Bibliometrix (R) and VOSviewer, co-authorship networks, keyword co-occurrence maps, theme clusters, and a density metadata table were created to identify research trends and knowledge gaps. Results show that machine learning, behavioral an-alytics, and ecosystem-aware security solutions are receiving more attention in the field of research, with high-impact publications like IEEE Access, Sensors, and Electronics making substantial con-tributions to their development. Additionally, the report highlights research prospects and difficulties by identifying upcoming issues such as blockchain, IoT, AR/VR platforms, and zero-day malvertis-ing. Finally, this report summarizes the state of the art in malvertising research, highlights systemic weaknesses in advertising ecosystems, and offers suggestions for future cybersecurity research top-ics, adaptive defense tactics, and regulation.
- SECURITY AND PRIVACY IN EXPLAINABLE AI: A BIBLIOMETRIC ANALYSIS OF EMERGING LEAKAGE RISKSPublication . Matos, Mafalda; Dias Lousã, Mário Jorge; Dias Lousã, Mário Jorge; Pereira de Morais, José Carlos; Pereira de Morais, José Carlos; Morais, José Carlos; Lousã, MárioExplainable Artificial Intelligence (XAI) has gained increasing attention as a means of improving the transparency and trustworthiness of machine learning algorithms, particularly in domains where security and privacy concerns are relevant. This study presents a bibliometric analysis of research at the intersection of explainable artificial intelligence, security, and privacy. The aim was to charac-terize publication trends, thematic structures, and keyword relationships within the field. Scholarly records were retrieved from the Lens database using a structured search strategy based on the PRISMA protocol and analyzed using bibliometric tools, including Bibliometrix and VOSviewer. The total number of studies analyzed was 8,099, and the analyzed time frame was 2010–2025. The analysis examined general publication information, annual scientific production, leading publication venues, and keyword co-occurrence networks. Results indicate a rapid growth in XAI-related publi-cations in recent years and reveal several major thematic clusters, including deep learning–driven medical imaging applications, foundational machine learning and data science concepts, explaina-bility methods in security and distributed learning contexts, and governance-oriented themes related to ethics, privacy, and trust. Overall, the findings highlight the application-driven and interdiscipli-nary nature of explainable AI research, while showing that security and privacy topics, although present, remain relatively peripheral within the broader XAI literature.