The paper examines literature on the subject of instructional design and game based learning with the aim of identifying its positive effects and impact on users. Special attention was given to learning, encouragement and development of...

This paper addresses the issue of reconstructing digital paintings and making them visible with the use of an augmented reality application. It contributes through raising awareness of stolen heritage due to a necessity to ensure digital...

Maritime security and monitoring are essential for global trade, environmental protection,and national defense. Traditional machine learning models have been effective in recognizing andclassifying maritime objects, but their reliance on large, labeled datasets poses challenges,particularly in dynamic environments where new and unforeseen objects frequently emerge. Thisstudy explores the application of Zero-Shot Learning (ZSL) to the maritime domain, leveraging theCLIP model to classify maritime objects with minimal labeled data. A custom dataset comprising1,438 images was used to evaluate the performance of various CLIP model variants. Our findingsindicate that CLIP models, particularly the "clip-vit-large-patch14-336" variant, achieve highclassification accuracy, with AUC values approaching 1.0 across most classes. However, challengesremain in handling rare or ambiguous classes such as cargo ships, where F2 scores suggestvariability in recall and precision. Additionally, the study highlights the potential limitations ofthese models, including their dependency on dataset diversity and the risk of overfitting to specificdata characteristics. The "clip-vit-large-patch14-336" model is identified as the most balanced andreliable option, offering a strong foundation for enhancing maritime situational awareness andsupporting diverse maritime applications.

Opaque white ink is highly important when printing on transparent substrates. The purpose of the white ink is to completely or partially cover the content of the packaging as well as to ensure the printing of other colors over it according to the appropriate printing specifications. The main goal of this study was to research the impact of anilox roller volume of opaque white on its opacity, and, consequently, on opacity, as well as the CIELAB values of colors that are printed over it. The research was conducted in three printing stages, during which the volume of the anilox roller was increased in linear steps of 3 cm³/m² while other parameters remained constant. The analysis of white ink covering properties was carried out on microscopic print images using ImageJ software. The results showed that a linear increase in the anilox roller volume resulted in an exponential change in white ink opacity as well as the opacity of color samples. It was also determined that a volume increase of 6 cm³/m² was required to visually notice color difference. Namely, medium lightness colors more strongly reacted to changes in white ink opacity compared to light and dark colors.

The main goal of the packaging production process is to ensure quality reproduction of color and design in general, so that the quality of the final product meets all requirements necessary for food packaging. Colors are one of the key...

Artificial intelligence (AI) has emerged as one of the most transformative technological forces in higher education, reshaping how universities design curricula, deliver instruction, assess learning, and manage institutional processes. This paper examines the growing influence of AI in academia by combining evidence from systematic literature reviews, applied case studies, and emerging governance frameworks. AI-driven personalization, adaptive learning, and gamification approaches are shown to improve motivation and retention, while immersive tools such as virtual reality enhance experiential learning. At the same time, unresolved challenges persist, including ethical dilemmas, algorithmic bias, data privacy, and risks of overreliance on automation. Drawing on recent contributions by Bernik, Cep, Tomicic, and others, the study highlights not only the opportunities but also the systemic risks and governance needs associated with AI integration. The methodology employs both human expertise and AI-assisted review tools to identify trends, evaluate outcomes, and compare governance approaches. Results indicate that AI-powered approaches can improve student success and reduce dropout rates by significant margins, but they must be implemented within transparent and ethically sound frameworks. This paper concludes with recommendations for universities, policymakers, and researchers to maximize AI's benefits while safeguarding academic values.