1. Counting Hamiltonian cycles in 2-tiled graphs and dense challenge domain : doktorska disertacijaAlen Vegi Kalamar, 2025, doctoral dissertation Abstract: In this doctoral dissertation, we address the counting of Hamiltonian cycles in 2-tiled graphs. These graphs are a generalization of the construction of large 2-crossing-critical graphs. We also address the study of the learning process involved in solving unsolved mathematical problems, integrating psychological theories of optimal experience (flow) and deliberate practice into a mathematical framework called the dense challenge domain.
The introduction presents fundamental graph theory concepts and an overview of ordinal numbers essential for understanding the core of the dissertation.
In the second chapter, known results from relevant related fields are introduced, along with the contributions of the doctoral dissertation.
In the third chapter, we address the problem of counting Hamiltonian cycles in 2-tiled graphs. First, we introduce basic concepts such as tile, 2-tile, tiled graphs, and 2-tiled graphs. This is followed by results leading to the characterization of Hamiltonian cycle types in 2-tiled graphs and then the introduction of algorithms that count each type of Hamiltonian cycles. We also demonstrate that if the family of 2-tiles used to construct 2-tiled graphs is finite, the algorithms are efficient. Further, we place large 2-crossing-critical graphs in the context of 2-tiled graphs and adapt the previously introduced algorithms to efficiently count all types of Hamiltonian cycles. To describe 2-crossing-critical graphs, we introduce an alphabet and show that 2-traversing and flanking Hamiltonian cycles can be counted by simply counting the occurrences of certain letters from the introduced alphabet. At the end of the chapter, we extend the counting of traversing Hamiltonian cycles to tiled graphs.
We attempt to formally capture the experience of this research work in the fourth chapter. We propose a formal mathematical framework for solving a common challenge in mathematical education: how to effectively use limited time to motivate students for research work. We formalize a theoretical mathematical structure called the dense challenge domain and introduce a structured decision process based on Csikszentmihalyi’s theory of flow, Duckworth’s concept of grit, Snowden’s Cynefin framework from decision theory, and Bokal-Steinbacher’s time usage optimization model. Unlike traditional educational research, which focuses on primary and secondary education, our approach emphasizes fostering mathematical thinking at the research level through optimal psychological experience. We formalize an algorithm for evolving the dense challenge domain, ensuring a balance between perceived skill and levels of challenge. We further prove that large 2-crossing-critical graphs satisfy the conditions of the dense challenge domain, providing a solid mathematical foundation for this methodology. Through three pilot studies, we demonstrate that this approach not only maintains student engagement but also leads to publishable research outcomes. Keywords: Hamiltonian cycle, 2-crossing-critical graph, 2-tiled graph, research realm, dense challenge domain, psychologically optimal experience, Cynefin framework Published in DKUM: 24.10.2025; Views: 0; Downloads: 5
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2. 8th International Conference on Technologies & Business Models for Circular Economy : Book of Abstracts2025, proceedings Abstract: The 8th International Conference on Technologies & Business Models for Circular Economy (TBMCE) was organized by the Faculty of Chemistry and Chemical Engineering, University of Maribor in collaboration with the Strategic Research and Innovation Partnership - Networks for the Transition into Circular Economy (SRIP- Circular Economy), managed by the Chamber of Commerce and Industry of Štajerska. The conference was held in Portorož, Slovenia, at the Grand Hotel Bernardin from September 3rd to September 5th, 2025. EIT RawMaterials RIS Hub Adria, SPIRIT Slovenia Business Development Agency and Pomurje Technology Park (as part of the GREENE 4.0 and CI-Hub projects) have joined us as co-organizers. TBMCE 2025 was devoted to presentations of circular economy concepts, technologies and methodologies that contribute to the shift of business entities and society as a whole to a more responsible, circular management of resources. The conference program included panel discussions, plenary and keynote sessions, oral and poster presentations on the following topics: Sustainable Energy, Biomass and Alternative Raw Materials, Circular Business Models, Secondary Raw Materials and Functional Materials, ICT in Circular Economy, Processes and Technologies. Panel discussions addressed following topics: Circular Economy Transition in South East Europe, The transition to carbon neutrality in energy intensive industry, Valorization of used and contaminated wood, Circular economy trends in construction, Critical raw materials and circular economy transition, Industrial Symbiosis and its opportunities for industry, AI and circular economy. The event was under the patronage of Ministry of the Economy, Tourism and Sport and Ministry of Cohesion and Regional Development. Keywords: circular economy, sustainable development, processes and technologies, circular business models, research and development Published in DKUM: 01.09.2025; Views: 0; Downloads: 8
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3. Aligning business solutions and business requirements for digital transformation – case research : V.Uroš Zabukovšek, Simona Sternad Zabukovšek, Samo Bobek, 2025, independent scientific component part or a chapter in a monograph Abstract: This study explores how Business and IT Alignment (BITA) influences business performance (PERFO) and corporate sustainability (SPACS) using a mixed-methods case study of an international manufacturing enterprise. The quantitative analysis (PLS-SEM) indicated BITA affects PERFO indirectly through IT service quality (ITSQ), while remote work (EWORK), despite its relation to BITA, showed no significant impact. BITA strongly predicted SPACS by enhancing employees’ sustainability knowledge, confidence, and willingness to act. Qualitative findings from semi-structured interviews revealed a BITA maturity of 3.3 (on a 5-point scale), highlighting its role in sustainability via better decision-making, process optimization, and IT-enabled transparency. Notable discrepancies between managerial and employee perceptions of BITA maturity were identified. Results suggest successful BITA fosters sustainability-oriented behaviour and IT-driven performance improvements, though continuous reinforcement within organizations is required. The study emphasizes the value of integrating qualitative and quantitative methods for comprehensive insights into BITA's impact. Keywords: business and IT alignment (BITA), IT service quality (ITSQ), business performance (PERFO), corporate sustainability (SPACS), remote work (EWORK), mixed methods research (MMR), PLS-SEM, organizational maturity, sustainability awareness, case study Published in DKUM: 29.08.2025; Views: 0; Downloads: 6
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5. How to establish a novel liver cell culture system that resembles the in vivo liver microenvironmentEneko Madorran, 2025, original scientific article Abstract: Subtle physiological patterns within the human organism, such as molecular fluctuations or systemic adaptations, often remain hidden from direct observation due to the inherent variability and noise within biological samples. The liver, a vital organ essential for systemic regulation and toxicological assessment, presents this challenge due to its heightened activity, which can influence enzyme dynamics and metabolic processes. Unlike direct observation, in vitro liver models offer a more precise means of understanding these trends, providing insights into the organ's (patho)physiology, and serving as a platform for toxicity evaluation. However, current liver models lack essential features required to faithfully replicate the liver's microenvironment, resulting in reduced accuracy in toxicity assessments. Furthermore, while researchers emphasize mechanistic insights, such as the molecular processes governing glucose metabolism and cellular energy production, clinicians focus on tangible health outcomes, like blood glucose levels in patients. This disconnect between the objectives and methodologies of basic researchers and clinicians amplifies this gap, hindering effective translational research. Addressing these challenges, a novel liver cell culture system that resembles the in vivo liver microenvironment with clinical instrumentation has been proposed to enhance current liver models, improving their capacity to emulate in vivo conditions. This study introduces a novel liver cell culture system, utilizing a 96-well plate format incorporating hepatic sinusoidal endothelial cells, hepatic stellate cells, Kupffer cells, and hepatocytes to replicate the liver microenvironment. The model integrates clinical instrumentation, specifically a biochemical analyzer to ensure biomarkers closely align with those observed in clinical diagnostics. This design enables researchers to fine-tune conditions that mimic the liver's microanatomy and physiological responses, enhancing its translational potential for toxicity assessments. The approach involves primary cell culture preparation, supernatant analysis through a clinical biochemistry analyzer, and cell viability assessment using the Membrane Potential Cell Viability Assay (MPCVA) method. Additionally, advanced imaging techniques and data analysis tools are incorporated to refine the model's capabilities and ensure greater translatability to clinical applications. Keywords: in vitro toxicity, liver (patho)physiology, liver in vitro model, membrane potential cell viability assay, translational research Published in DKUM: 14.08.2025; Views: 0; Downloads: 8
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6. The role of correspondence analysis in medical researchBojan Žlahtič, Peter Kokol, Helena Blažun Vošner, Jernej Završnik, 2024, other scientific articles Abstract: Correspondence analysis (CA) is a multivariate statistical and visualization technique. CA is extremely useful in analyzing either two- or multi-way contingency tables, representing some degree of correspondence between columns and rows. The CA results are visualized in easy-to-interpret “bi–plots,” where the proximity of items (values of categorical variables) represents the degree of association between presented items. In other words, items positioned near each other are more associated than those located farther away. Each bi-plot has two dimensions, named during the analysis. The naming of dimensions adds a qualitative aspect to the analysis. Correspondence analysis may support medical professionals in finding answers to many important questions related to health, wellbeing, quality of life, and similar topics in a simpler but more informal way than by using more complex statistical or machine learning approaches. In that way, it can be used for dimension reduction and data simplification, clustering, classification, feature selection, knowledge extraction, visualization of adverse effects, or pattern detection. Keywords: public health, medical research, correspondence analysis, synthetic knowledge synthesis, exploratory data analysis, bibliometric Published in DKUM: 30.07.2025; Views: 0; Downloads: 1
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7. Multilingual memory of migration : a participatory oral history project in AustriaGeorg Traska, 2024 Abstract: The article lays out the method of the participatory Oral History project "Multilingual Memory of Migration" against the political background of an unacknowledged Austrian migration history and the political paradigm of monolingualism. The participatory concept engages students in a research process of Austrian migration history, addressing especially (but not exclusively) students with an own migration and multilingual background to conduct intergenerational biographical interviews. By benefitting from the students' language skills and community outreach, the project aims at creating a contribution to a national "archive of migration" as such not institutionalized in Austria. Keywords: migration, multilingualism, participatory research, oral history, intergenerational interviews Published in DKUM: 29.07.2025; Views: 0; Downloads: 3
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8. Machine learning in primary health care : the research landscapeJernej Završnik, Peter Kokol, Bojan Žlahtič, Helena Blažun Vošner, 2025, review article Abstract: Background: Artificial intelligence and machine learning are playing crucial roles in digital transformation, aiming to improve the efficiency, effectiveness, equity, and responsiveness of primary health systems and their services. Method: Using synthetic knowledge synthesis and bibliometric and thematic analysis triangulation, we identified the most productive and prolific countries, institutions, funding sponsors, source titles, publications productivity trends, and principal research categories and themes. Results: The United States and the United Kingdom were the most productive countries; Plos One and BJM Open were the most prolific journals; and the National Institutes of Health, USA, and the National Natural Science Foundation of China were the most productive funding sponsors. The publication productivity trend is positive and exponential. The main themes are related to natural language processing in clinical decision-making, primary health care optimization focusing on early diagnosis and screening, improving health-based social determinants, and using chatbots to optimize communications with patients and between health professionals. Conclusions: The use of machine learning in primary health care aims to address the significant global burden of so-called “missed diagnostic opportunities” while minimizing possible adverse effects on patients. Keywords: primary health care, machine learning, research landscape, synthetic knowledge synthesis Published in DKUM: 24.07.2025; Views: 0; Downloads: 6
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9. Through the looking glass : methodological features of research of alternative schoolsSnježana Dubovicki, Tomislav Topolovčan, 2020, original scientific article Abstract: On the basis of the analysis of the general characteristics of alternative schools and the methodology of pedagogical research, the comparison and synthesis of the obtained facts were formed. It is pointed out that in the field of pedagogy, the adoption of (positivist) methodology has become a global trend. It emphasizes the uncritical application of research tools from the corpus of quantitative methodology in research of specific educational problems, as well as in research of alternative schools in which the context of the research is significantly different than the one of the conventional public schools. Keywords: alternative schools, education, research methodology, social and humanistic sciences, teaching Published in DKUM: 19.06.2025; Views: 0; Downloads: 33
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