Constantine the Philosopher University in Nitra (Slovak: Univerzita Konštantína Filozofa v Nitre) is a co-educational public university in Nitra, located in southwestern Slovakia.It is a modern educational, scientific and artistic research institution that since 1996 bears the name of one of the most important personalities in Slovak history – Byzantine missionary Saint Cyril (born Constantine, 827–869), the "Apostle to the Slavs".UKF has five faculties and 7029 students, of which 5562 are enrolled in full-time study. The University is also attractive for foreign students. Currently (as of October 31, 2019), it is frequented by 345 students. The wide range of programs in the Bachelor’s, Master’s and Doctoral study is a key strength of the University. UKF is also focusing on student work and is known for numerous cultural, social, and sporting events and student activities, many of which with long traditions.The University publishes the University magazine Náš čas and the student magazine Občas nečas.
Beetle genetics is becoming increasingly important in research on agricultural ecosystems, not only from a basic biological perspective but also for practical applications in pest management, biodiversity, and agroecosystem sustainability. Our study analyzed the genetic variability of beetle populations (Harpalus rufipes and Silpha obscura) under two types of agricultural management systems—organic and conventional—using RAPD markers. Out of six tested markers (OPB 5, OPB 8, OPB 11, OPB 12, OPB 14, and OPB 18), three markers (OPB 11, OPB 14, and OPB 18) demonstrated clear genetic differentiation between beetle samples collected from organically and conventionally cultivated wheat. The results of DNA fingerprinting and t-SNE analysis confirmed the formation of two genetic clusters corresponding to the management type. Jaccard similarity coefficient values indicated moderate to strong genetic similarity within individual management systems, while similarity between systems was weaker. These findings suggest that agronomic practices influence the genetic structure of beetle populations, likely due to ecological and anthropogenic factors such as pesticide use and landscape modification. The study emphasizes the importance of molecular markers in assessing population-level responses to agroecosystem management and their contribution to sustainable agriculture.
Aim: Determine the perception of the position of social workers in Slovak healthcare in relation to overwork and coping with stressful situations. Methods: This research study has a quantitative design with the use of a self-made questionnaire. The research sample consists of 59 social workers working in various healthcare facilities in the Slovak Republic. Results: The results show that the vast majority of respondents agree with codifying the legal status for social workers in healthcare into law. The results also point to the work overload of social workers in healthcare and statistically don't significantly differ with respect to their years of experience, work in the public or non-governmental sector and the number of patients in their care. Conclusion: The results point to the need for systematic changes in practice and improvements in the status of social workers in healthcare, which would increase the quality of patient care. An important measure is the creation of a high-quality legislative framework for social workers in healthcare, specifying their competences in outpatient, institutional, and field care.
The agricultural landscape, which includes viticulture and grape growing, significantly affects the spatial distribution and the development of biodiversity in the landscape. Therefore, in our study, we focused on the development of epigeic arthropods under the conditions of the vineyard landscape. We conducted the research over the three years 2021-2023 in 8 study areas representing 4 types of vineyard vineyard)). We collected epigeic arthropods using the pitfall traps method at monthly intervals. During the research, we recorded 56,403 individuals belonging to 22 taxa, eudominant representation was confirmed in the taxa Hymenoptera (40.59%), Coleoptera (18.67%), and Araneida (11.65%). Statistical analysis confirmed the highest number of species and individuals in the intensive vineyard and meadow (original vineyard). Using machine learning, we confirmed the same evolution of epigeic arthropods over time for all types of vineyard land use except semiintensive vineyard. We also predicted an increase in epigeic arthropods for the month of July 2025 for all types of land use. The results of our research provide new information on the development of epigeic arthropods in vineyard ecosystems, which is important for the maintenance of sustainable agriculture that supports the preservation of biodiversity.
Efficient working capital management is crucial for enhancing the performance of a firm. This involves effective management of cash, inventory, and receivables. The present study empirically examines how working capital management influences the firm performance of 403 Slovak companies coming from the furniture industry over the period of 2015-2022. We utilized a quantitative approach using static and dynamic techniques for panel data analysis. Our findings confirm that there is a relationship between the components of working capital management and firm financial performance. Firms become more efficient through the accelerated turnover of inventory and the more expeditious collection of payments from their customers, thus promoting an aggressive working capital policy. The results of the two-stage dynamic GMM estimates confirm that the lagged dependent variable return on assets was statistically significantly and positively associated, which confirms the process of dynamic adjustment and the lagged effect. The findings suggest enhancing profitability through the proposal and implementation of effective working capital policies.
The rapid integration of Generative AI (GenAI) into higher education presents both opportunities and systemic challenges, particularly in domains where feedback is central to learning. This study investigates the capacity of a large language model to generate formative feedback for student-created UML diagrams in a university software engineering course. Across two cohorts (N = 262), AI-generated, teacher-generated, and no-feedback conditions were compared, analyzing student perceptions, learning outcomes, and grading reliability. Results show that while students rated GenAI feedback as beneficial and often comparable to human comments, teacher feedback remained more effective in supporting performance gains, especially in complex modeling tasks. Linguistic analysis further revealed that GenAI feedback was more repetitive and less pedagogically rich than human feedback. Beyond these course-level findings, the study highlights broader implications for higher education systems. GenAI feedback represents not just a pedagogical tool but a cognitive partner that can reshape assessment models, curriculum design, and faculty roles. Its scalable nature offers potential to democratize access to high-quality formative feedback, while also raising equity, accountability, and policy challenges at institutional and sectoral levels. By situating empirical results into this broader frame, the study argues that GenAI is catalyzing a paradigm shift toward new systems of learning, where feedback becomes systemic, scalable, and embedded in the very structure of higher education.
