http://hdl.handle.net/20.500.14044/33877 Mon, 20 Jul 2026 20:10:03 GMT 2026-07-20T20:10:03Z http://hdl.handle.net/20.500.14044/32528 State of the Art in Medical Additive Manufacturing Jaksa, László; Azamatov, Bagdat; Nazenova, Gaukhar; Alontseva, Darya; Haidegger, Tamás Additive manufacturing technologies have been gradually gaining importance over the past two decades, and their relevance in industry is being increasingly reinforced by countless feasibility studies. The medical industry is one of the most potent application fields for additive manufacturing, since the freedom of design such technologies allow for using a wide array of materials makes previously unimaginable devices feasible. The integration of these technologies into healthcare systems offers numerous advantages, including the customization and personalization of medical devices, pharmaceuticals, and equipment, enhanced cost-efficiency, and improved training methodologies. In this review, a scoping literature overview was conducted in order to identify the most important use cases, limitations and future directions of additive manufacturing in the domain of digital medtech. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/32528 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.14044/32525 A Comprehensive Study on Cybersecurity Awareness: Adaptation and Validation of a Questionnaire in Hungarian Higher Technical Education Módné Takács, Judit; Pogátsnik, Monika Background: Cybersecurity is an extremely important topic in the 21 st Century, especially for students in education. It is essential for career development in technical higher education to know how to defend against digital threats and cyberattacks effectively. Education may enhance digital literacy and security awareness. To measure the success of this development it is essential to have a reliable measurement tool. Objective: This study aims to develop a Hungarian adaptation of the Cybersecurity attitude survey (CS-C), to test the psychometric properties of the survey among students of technical higher education institutions and to analyze the results. Method: The 25-item questionnaire measures cyberawareness on a 5-point Likert scale. A pilot study with 35 participants, who were retested after a few weeks, was conducted in the first round. For a more comprehensive analysis, N=398 participants in higher technical education were included in the second phase of the study. Results: The results of the psychometric analyses demonstrated the internal reliability and validity of the CS-C-H questionnaire and confirmed that it is reliable ( α =.858) in its application and interpretation along dimensions of cyberspace-related attitudes, especially among students in education. Respondents' cybersecurity awareness is at an acceptable level, but question-specific differences between groups can be found. Further research into the factors that influence the development of attitudes is, therefore, worthwhile. Conclusion: The use of this diagnostic tool among Hungarian students is justified based on the results of the study. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/32525 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.14044/32521 Disinformation Campaigns: Battling Misinformation for Resilience in Hybrid Threats Model Steingartner, William; Galinec, Darko; Vaľko, Dávid; Ádám, Norbert Recognizing truth from lies has become a critical and challenging task in our current environment, which is flooded with abundant information from various sources and platforms. The existence of false information and manipulative content in the public sphere is not an entirely novel phenomenon. On the other hand, the modern-day circumstance is one of a kind because of the rapid dissemination of a big quantity of false information, particularly via social media and smartphone applications. This presents an unprecedented challenge. The prevalence of contamination in the realm of information, along with the complex network of individuals, methods, and reasons behind this false information, now represent a key aspect of hybrid threats. An outstanding aspect is the speed at which false information disseminates through interconnected networks, platforms, and applications. This paper effectively achieved two objectives. The primary objective was to introduce a novel non-hierarchical conceptual framework for hybrid threats, with the aim of enhancing awareness and reinforcing the resilience of the system. The second objective was to investigate the feasibility of integrating AI technology to enhance the efficiency and speed of detecting and identifying growing misinformation. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/32521 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.14044/32515 Online scheduling with machine cost and a power function objective Balla, T.; Csirik, J.; Dósa, Gy.; Kószó, D. We will consider a power function variant of online scheduling with machine cost. Here, we have a sequence of independent jobs with positive real sizes. Jobs come one by one and we have to assign them irrevocably to a machine without any knowledge about additional jobs that may follow later on. With this problem the algorithm has no machine at first. When a job arrives, we have the option to purchase a new machine and the cost of purchasing a machine is a fixed constant. In previous studies, the objective was to minimize the sum of the makespan and the cost of the purchased machines. In this paper, we minimize the sum of the rth power of loads of the machines (r ≥ 2 is an integer) and the cost of purchasing the machines. The cost of a new machine is 1. We prove that no online algorithm has a competitive ratio smaller than 2 − 2r−1 2r −1 for this problem. Moreover, for r = 2, 3, 4 we present a 2 − 2r−1 2r −1 -competitive online algorithm with a detailed competitive analysis which applies the bin packing algorithm First Fit as a slave algorithm. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/32515 2024-01-01T00:00:00Z