Abstract In the current context, where national sports have established new goals and requirements for university sports, the limitations and one-sidedness of traditional teaching methods have become evident. For the current university public physical education, there is a need for more scientific and effective strategies, which would result in improved teaching efficiency and more engaging teaching content. By introducing the particle... In the current context, where national sports have established new goals and requirements for university sports, the limitations and one-sidedness of traditional teaching methods have become evident. For the current university public physical education, there is a need for more scientific and effective strategies, which would result in improved teaching efficiency and more engaging teaching content. By introducing the particle swarm algorithm, we can better utilize K-means technology to extract data features and relationships in physical education courses and verify the effectiveness of clustering through information theory. We can also apply this algorithm to university public physical education to improve teaching quality. The application of the improved K-means algorithm can significantly enhance the quality of physical education, providing valuable data support and effectively improving the efficiency of course management, thus better meeting the needs of students. Read More Read Less

Abstract Software security incidents occur every day and thousands of software security reports are announced each month. Thus, it is difficult for software security researchers, engineers, and other stakeholders to follow software security topics of their interests in real-time. In this paper, we propose, SOSK, a novel tool for this problem. SOSK allows a user to import a collection of software... Software security incidents occur every day and thousands of software security reports are announced each month. Thus, it is difficult for software security researchers, engineers, and other stakeholders to follow software security topics of their interests in real-time. In this paper, we propose, SOSK, a novel tool for this problem. SOSK allows a user to import a collection of software security reports. It pre-processes and extracts the most important keywords from the textual description of the reports. Based on the similarity of embedding vectors of keywords, SOSK can expand and/or refine a keyword set from a much smaller set of user provided keywords. Thus, SOSK allows users to define any topic of their interests and retrieve security reports relevant to that topic effectively. Our preliminary evaluation shows that SOSK can expand keywords and retrieve reports relevant to user requests. Read More Read Less

Abstract As Albania's digital landscape expands, its vulnerability to sophisticated cyber threats increases correspondingly. This study explores the evolution of Albania's cybersecurity strategies, tracing the shift from reactive measures to a proactive defence approach. It critically examines significant cyber incidents that have shaped the national cybersecurity landscape, assessing how they have influenced Albania's current cyber defence strategies. The focus is on... As Albania's digital landscape expands, its vulnerability to sophisticated cyber threats increases correspondingly. This study explores the evolution of Albania's cybersecurity strategies, tracing the shift from reactive measures to a proactive defence approach. It critically examines significant cyber incidents that have shaped the national cybersecurity landscape, assessing how they have influenced Albania's current cyber defence strategies. The focus is on how Albania has tailored its strategic responses to enhance digital resilience and national security. In the second part, the paper provides an in-depth review of the threat models prevalent in the Western Balkans and Albania, highlighting key areas where Albania's cyber management requires further development. One key recommendation is the forecasting of cyberattacks, which could benefit from the application of timeseries and machine learning techniques to enhance predictive capabilities. This approach emphasizes adapting to emerging threats and fostering international cooperation to bolster Albania's cybersecurity infrastructure. Read More Read Less