rUMBa Repository of Matej Bel University in Banská Bystrica
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    1035 research outputs found

    HIV - public interest versus dignity

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    In: Elektronizácia a digitalizácia verejnej správy : zborník príspevkov z konferencie / rec. Janka Hašanová, Karin Vrtíková. 1. vyd. Trnava : Typi Universitatis Tyrnaviensis, 2024. ISBN 978-80-568-0714-9. S. 89-98.Príspevok pojednáva o problematike postavenia osoby žijúcej s diagnózou HIV vo vzťahu k niektorým právnym predpisom správneho práva na úseku zdravia . Identifikujeme právno-aplikačné kritické problémy, ktoré vznikajú porušovaním právnych predpisov a môžu mať za následok diskriminačne a ponižujúce situácie osôb. Ako druhé sa príspevok snaží otvoriť diskusiu na opodstatnenosť povinného hlásenia diagnózy vzhľadom pokroku vedy a techniky ako aj vyhodnotením týchto povinnosti z hľadiska testu proporcionality a hľadania odpovede na otázku čo je v tomto prípade verejný záujem

    Sociálna pedagogika a inkluzívne vzdelávanie v medzinárodnom kontexte

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    In: Acta sociopathologica : the contemporary topics in social pathology and social pedagogy : proceedings of the Institute of Social Studies, Faculty of Education, University of Hradec Králové. 8. 1. vyd. Hradec Králové : Gaudeamus, 2025. ISBN 978-80-7435-942-2. Pp. 21-37.In this review study, we emphasize the importance of the role of social pedagogues in schools across various countries, including Slovakia. The aim of the review is to use a comparative approach to highlight the potential utilization of social pedagogues' work in schools. The study indicates that social pedagogical activities are common in many countries and emerging in others. It maps significant regional differences in the goals, status, and functions of social pedagogues. The primary mission of social pedagogy is seen in the inclusion of individuals or groups of intact students or students with special educational needs (SEN). Preventive social pedagogical activities are focused on combating social exclusion, guiding students, raising awareness, and promoting democratic education. The study demonstrates the significant importance of social pedagogy in schools, particularly in preventing segregation and exclusion of students

    Cybercrime: modern threat in contemporary society

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    In: Security Science Journal : open access : peer-reviewed international interdisciplinary and multidisciplinary journal. Belehrad : Institute for National and International Security, 2025. ISSN 2737-9493. Vol. 6, no. 1 (2025), pp. 19-31.The content of the paper deals primarily with the issue of cybercrime, emphasizing the European Cybercrime Centre. It presents an impartial view on the issue of cybercrime and the activities of the European Union in this area. It introduces the basic concepts related to cybercrime, including cyber security, cyber threats, and types of cyber attacks. It examines the legal regulation of cybercrime, emphasizing the gradual development of transnational legal instruments. The paper mentions the historical context of cybercrime and the various major cyber attacks in selected European Union Member States

    The 2025 Global Philanthropy Environment Index Slovakia

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    In: Indianapolis : Indiana University Lilly Family School of Philanthropy, 2025. - 9 p

    Basic skills of self-learning and self-directed learning

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    In: Adult Education 2024 - competences for life : IAEC 2024 : proceedings of the 14th International Adult Education Conference / rec. Larysa Lukianova, Anna Marianowska ... [et al.]. 1. vyd. Praha : Česká andragogická společnost, 2025. ISBN 978-80-908330-8-1. ISSN 2571-385X. S. 82-86.The theoretical study discusses the concepts of self-learning, self-directed learning, and autodidacticism and the differences between them. Based on the reports of the World Economic Forum (2023, 2024), humanity faces an unstable and constantly changing world in the form of risks that can be faced through Education 4.0. However, this new approach to lifelong learning requires a new perspective on competencies, including self-learning competencies, which are becoming essential. The topic of self-learning and self-directed learning thus comes to the forefront of interest and requires new research both among students and adults.KEGA 006UMB-4/2023 Rozvoj kompetencií pre učenie sa dospelých modernými elektronickými učebnými prostriedkam

    Student scientific conference 2025

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    The Student Scientific Conference is a long-established form of supporting the academic and professional development of students at the Faculty of Economics, Matej Bel University in Banská Bystrica. It offers a unique opportunity for students to present the results of their research, confront them with the academic community, and develop skills in analytical thinking, presentation, and scientific argumentation. On April 3, 2025, the 31st edition of the conference took place, featuring 63 students with 35 competition papers. The papers were presented in six sections: Tourism, Business Economics and Management, Finance, Banking and Investment, Public Economics and Regional Development, Quantitative methods and informatics, and High Schools. We are pleased that this year’s conference once again went beyond the borders of our faculty – 26 international students from the Czech Republic, Poland, and Ukraine took part with 10 papers. In the high school section, 5 students from two secondary schools – the United School in Modrý Kameň and the Private High School of Business in Zvolen – presented their work. We believe that such events not only contribute to the development of professional competencies but also foster international cooperation, connect theory with practice, and support young talents. We thank all participants for their work, enthusiasm, and motivation, and wish them much success in their scientific and professional careers

    Návod na prácu s repozitárom

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    Návod na prácu s repozitárom DSPACE 7.XX verzia 10/2

    Systémy manažérstva kvality: Príručka pre malé a stredné organizácie

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    Skriptá sa zameriavajú na komplexné pochopenie a implementáciu systémov manažérstva kvality v organizáciách. Začínajú teoretickými východiskami a definíciami kvality, pričom sa venujú základným pojmom, prístupom a požiadavkám týkajúcim sa kvality. Následne sa rozoberá kultúra kvality, jej organizačné predpoklady, hodnoty a artefakty, pričom sa analyzujú rôzne typy kultúr kvality a spôsoby ich zavádzania do organizácie. Ďalšie kapitoly skrípt sa sústreďujú na koncepcie riadenia kvality, ako sú TQM, ISO normy a podnikové štandardy, a to nielen teoreticky, ale aj z hľadiska praktických aplikácií v organizáciách. Skripta sa tiež zaoberajú procesným manažmentom, implementáciou procesného prístupu do systému riadenia a požiadavkami normy ISO 9001:2015. Dôležitou súčasťou je aj rozpracovanie krokov implementácie systému manažérstva kvality a riadenie rizík, ktoré sú neoddeliteľnou súčasťou moderného manažérstva kvality. Kapitolám o auditoch kvality a ekonomike kvality je venovaná pozornosť v kontexte klasifikácie nákladov na kvalitu a nástrojov, ktoré pomáhajú pri zabezpečovaní kvality v organizáciách. Skripta zahŕňajú aj praktické cvičenia a zadania na samostatnú prácu, ktoré umožňujú študentom aplikovať nadobudnuté vedomosti v reálnych situáciách, ako je optimalizácia procesov, definovanie politiky kvality alebo vykonávanie interných auditov. Cieľom týchto skrípt je poskytnúť študentom a odborníkom komplexný pohľad na systémové riadenie kvality a kultúru kvality v organizáciách, ako aj ponúknuť praktické nástroje a prístupy na zlepšovanie kvality a efektivity procesov

    Choosing the right close-range technology for measuring DBH in fast-growing trees plantations

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    In: Trees, forests and people. Amsterdam : Elsevier B.V., 2025. ISSN 2666-7193. No. 19 (2025), pp. 1-10.Recently, the cultivation of fast-growing tree (FGT) plantations has gained importance due to the growing energy and climate crisis. FGT plantations have the potential to reduce carbon footprints and lower greenhouse gas emissions by utilization of local renewable energy sources. Effective monitoring of above-ground biomass (AGB) is crucial for the successful management of these plantations. Standard methods for estimating AGB rely on easily measurable parameters, such as Diameter at Breast Height (DBH) and tree height, which are highly correlated with AGB. Traditional methods for measuring DBH include measuring tapes and calipers; however, these techniques can be labor-intensive, time-consuming, and limited when assessing large areas. Innovative approaches, such as photogrammetry, terrestrial laser scanning (TLS), mobile laser scanning (MLS), and iPhone LiDAR scanning, can complement these traditional methods by generating point clouds that can be used for extracting dendrometric parameters. This study evaluates the effectiveness of TLS (RIEGL VZ-1000), MLS (Stonex X120 GO), iPhone LiDAR (iPhone 13 Pro MAX), and terrestrial photogrammetry (iPhone 13 Pro MAX) for estimating DBH in a Paulownia plantation. Each technology has limitations: while TLS offers high accuracy, it is also expensive and time-consuming. Similarly, MLS is relatively costly. On the other hand, iPhone LiDAR and terrestrial photogrammetry are more affordable alternatives; however, the iPhone LiDAR has a limited scanning range, and photogrammetry requires considerable time and expertise for data collection and processing. The primary objective of this study was to evaluate these technologies based on their accuracy in DBH estimation, ease of use, data collection, processing time, and cost within the ideal conditions of a Paulownia plantation (characterized by the absence of understory, level ground, and uniform tree shape and spacing). The aim was to determine whether traditional methods could be replaced with more efficient, quicker, easier, and cost-effective alternatives. Results indicated that TLS, MLS, and photogrammetry provided similar DBH estimation accuracies, with root mean square error (RMSE) values between 0.7 and 0.72 cm and relative RMSE values between 2.87 % and 2.95 %. In contrast, the iPhone LiDAR was the least accurate, with an RMSE of 1.7 cm and an rRMSE of 6.96 %. This study demonstrates that all evaluated technologies offer sufficient accuracy for DBH estimation, although TLS and MLS capture additional parameters at a higher cost. Therefore, TLS is impractical for DBH estimation in plantation environments due to its high cost, time, and labor demands. While less expensive, terrestrial photogrammetry also requires significant time investment and operator expertise. Despite its cost, MLS achieved the best results among all the evaluated technologies and proved to be the fastest and relatively simple. If cost is a concern, the best solution for DBH estimation in an FGT plantation environment would be iPhone LiDAR scanning. It represents the most affordable option with satisfactory accuracy and ease of use.APVV-20-0391 Monitoring lesných porastov v trojdimenzionálnom priestore a čase pomocou inovatívnych prístupov blízkeho dosahu VEGA 1/0604/24 Vývoj prototypu mobilného skenovacieho systému pre účely monitoringu stavu a vývoja lesných ekosystémov NextGenerationEU 09I03-03-V04-00341 Vývoj prototypu nízkonákladového mobilného skenovacieho zariadenia pre monitoring stavu a vývoja lesných ekosystémov NextGenerationEU 09I03-03-V05-00016 Early stage granty - Technická univerzita vo Zvolen

    Exploration and Deconstruction of Correlation Cycles in Multidimensional Datasets

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    In: Technologies. Basel : Multidisciplinary Digital Publishing Institute, 2025. ISSN 2227-7080. Vol. 13, no. 2 (2025), pp. 1-19.Correlation analysis is one of the most prolific statistical methods used in data analysis problems, mining of knowledge focused on relationships of attributes in large datasets, and in various predictive tasks utilizing statistical, machine learning, and deep learning models. This approach to the analysis of functional relationships in multidimensional datasets is commonly used in conjunction with visual analysis approaches, which offer novel context for the relationships in data and clarify the results presented in large correlation matrices. One of such visualization methods uses graphical models called correlation graphs and chains, which visualize individual direct and indirect relationships between pairs of attributes in a dataset of interest as a graph structure, where vertices of the graph represent attributes of the dataset and edges between vertices represent the correlation of these attributes. This work focuses on the definition, identification, and exploration of so-called correlation cycles, which can be—through their deconstruction—used as an approach to lower error values in regression tasks. After the implementation of the correlation cycle identification and deconstruction, the proposed concept is evaluated on predictive analysis tasks in the context of three benchmarking datasets from the engineering field—the Sensor dataset, Superconductivity dataset, and Energy Farm dataset. The results obtained in this study show that when using simple, explainable regressors, the method utilizing deconstructed correlation cycles reaches a lower error rate in 83.3% of regression cases compared to the same regression models without the cycle incorporation

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