191. Možnosti vzpostavitve duhovne oskrbe v armadi Republike Severne MakedonijeLiliana Brožič, Stjepan Domjančić, Oliver Andonov, 2025, original scientific article Abstract: Prispevek obravnava duhovno oskrbo v Armadi Republike Severne Makedonije (ARSM) kot doslej neurejeno, a pomembno področje vojaške organizacije z vidika celostne skrbi za pripadnike oboroženih sil in človekovih pravic. S pomočjo zgodovinske, deskriptivne in analitične metode ter deduktivnega pristopa je predstavljena analiza zgodovinskega razvoja, pravnega okvira in stališč pripadnikov ARSM do duhovne oskrbe. Posebna pozornost je namenjena primerjalni analizi ureditev v Republiki Hrvaški in Republiki Sloveniji, kjer duhovna oskrba že deluje na temelju ustavnih določb in mednarodnih sporazumov. Ugotovitve kažejo, da v Makedoniji obstaja pravna in družbena podlaga za uvedbo vojaške duhovne oskrbe, vendar primanjkuje politične volje in institucionalne pobude.
Keywords: vera, oborožene sile, duhovna oskrba, Armada Republike Severne Makedonije, Oborožene sile Republike Hrvaške, Slovenska vojska
Published in ReVIS: 15.01.2026; Views: 218; Downloads: 5
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192. Telemedicine in rural and remote areas: potentials and challenges for older adultsIvan Pokec, Željka Ostović, David Bogataj, 2025, review article Abstract: Abstract: This paper explores the key challenges and enabling factors in the implementation of telemedicine services in rural and low-resource settings, with particular focus on older adults, focusing particularly on how best practices can be adapted to overcome the digital divide. Drawing from a structured literature review using the Semantic Scholar corpus, this study synthesizes findings from 25 empirical studies selected from a total of 920 unique records, based on clear inclusion criteria, narrowing the scope for deeper qualitative and thematic insights across multiple countries and healthcare contexts. The findings highlight infrastructural barriers, provider and patient-related challenges, and resource constraints, while also identifying technological solutions, capacity-building initiatives, and community engagement strategies as critical enablers. Recommendations are made for future development of telemedicine systems tailored to the specific needs of underserved rural populations.
Keywords: telemedicine, healthcare informatics, digital inclusion, social systems, technology adoption
Published in ReVIS: 15.01.2026; Views: 286; Downloads: 1
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193. Implementing smart technologies in rural elderly care: findings from an integrative literature review (2019.-2024.)Željka Ostović, Ivan Pokec, David Bogataj, 2025, review article Abstract: This paper explores the role of smart technologies in supporting elderly individuals, particularly those in rural areas, to enhance their quality of life, social inclusion, and independence. Based on an analysis of selected scientific articles, it has been established that smart technologies, such as telemedicine systems, smart sensors, and digital platforms for social support, hold significant potential for improving healthcare and social care services for older adults. These tools reduce loneliness, improve safety, and enable elderly individuals to remain in their homes longer. Nonetheless, implementation challenges remain, especially due to the digital divide and limited technical skills among older users. Further research should explore effective strategies for user education, infrastructure development, and long-term impact evaluation to maximize the benefits of smart technologies for the elderly population.
Keywords: ageing population, assistive technologies, home care systems, patient engagement, telemedicine systems, eHealth, rural healthcare access
Published in ReVIS: 15.01.2026; Views: 201; Downloads: 1
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194. Application of machine learning method for hardness prediction of metal materials fabricated by 3D selective laser meltingMatej Babič, Roman Šturm, Mirosłav Rucki, Zbigniew Siemiątkowski, 2025, original scientific article Abstract: In this article, models for prediction of surface hardness for SLM specimens are presented. In experiments, EOS Maraging Steel MS1 was processed using EOS M 290 3D printer via selective laser melting (SLM). To predict hardness of SLM specimens, several machine learning methods were applied, including genetic programming, neural network, multiple regression, k-nearest neighbors, support vector machine, logistic regression, and random forest. In the research, fractal geometry was used to characterize the complexity of SLM-shaped microstructures. It was found that fractal geometry combined with machine learning techniques together greatly improved our comprehension of the intricacies of surface analysis and provided highly efficient predictions. All the applied algorithms exhibited predictability above 90%, with the best average result of 98.7% for genetic programming.
Keywords: additive manufacturing, SLM, machine learning, hardness prediction, fractal geometry
Published in ReVIS: 15.01.2026; Views: 180; Downloads: 3
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195. Modeliranje topografskih lastnosti 3D tiskanih kovinskih materialovMatej Babič, 2025, original scientific article Abstract: Ta raziskava predstavlja prelomno metodo, ki združuje fraktale, teorijo omrežij in genetsko programiranje, z analizo topografije površine kovinskih aditivnih delov. Natančneje, osredotočena je na selektivno lasersko taljenje maragingnega jekla EOS MS1, obdelanega s 3D-tiskalnikom EOS M 290. Ugotovitve kažejo na znatno izboljšanje natančnosti karakterizacije hrapavosti površine pri uporabi genetskega programiranja. Uporaba fraktalne geometrije in strojnega učenja je izboljšala naše razumevanje kompleksnosti selektivnega laserskega taljenja površin. Ta študija ne le prispeva k področju aditivne proizvodnje s ponujanjem učinkovitejšega in natančnejšega pristopa k nadzoru kakovosti, temveč tudi postavlja temelje za prihodnja raziskovanja drugih materialov in izpopolnjevanje analitičnih tehnik. Potencial te metode pri podpori praks 3D-tiskanja kovin je precejšen, kar kaže na obetavno prihodnost za industrijo tako v smislu inovacij kot uporabe.
Keywords: aditivna proizvodnja, selektivno lasersko taljenje, hrapavost površine, fraktalna geometrija, teorija omrežij, genetsko programiranje
Published in ReVIS: 15.01.2026; Views: 189; Downloads: 3
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196. Technologies for monitoring biomarkers of aging: literature review and research agendaJurij Pivka, David Bogataj, 2025, review article Abstract: Aging is a complex and dynamic process that, despite its naturalness, represents one of the greatest challenges of modern medicine. With advancing age, factors for the development of numerous chronic diseases appear, such as cardiovascular diseases, diabetes, cancer and dementia. Understanding, monitoring and potentially slowing down these processes is becoming a key task of longevity science. Early detection of changes with aging plays a key role in this, as it allows for timely intervention, more effective treatment, improvement of quality of life and reduction of costs for the healthcare system. An important element of early diagnostics is individualized approaches based on the use of advanced technologies for monitoring biomarkers of aging. In the last decade, we have witnessed the rapid development of systems that use automated, invasive or non-invasive , and often continuous monitoring of various biomarkers . These include wearable devices, microfluidic and " lab -on-a- chip " systems, optical sensors and artificial intelligence that analyze biological data in real time. Such technologies are used to shift from classical reactive medicine to a proactive, personalized approach to health and longevity. The article presents known molecular, cellular and physiological biomarkers of aging, an overview of selected technologies for monitoring biomarkers of aging. We will focus on analyzing their reliability, clinical utility, and the difference between technologies that offer evidence-based value to the user and those that may lead to incorrect interpretations or decisions due to unreliable or misleading data.
Keywords: biomarkers of aging, monitoring technologies, preventive medicine, artificial intelligence in healthcare, longevity, personalized health interventions
Published in ReVIS: 15.01.2026; Views: 226; Downloads: 1
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199. Od predsodkov do povezanosti : teorija o medskupinskem stikuNika Ferbežar, Mateja Marovič, 2025, original scientific article Abstract: Teorija medskupinskega stika ima za socialnopedagoško področje, ki si prizadeva za zmanjševanje marginaliziranosti različnih družbenih skupin, velik pomen, saj predpostavlja, da je mogoče predsodke med različnimi družbenimi skupinami zmanjševati preko stika med njimi, zlasti kadar so izpolnjeni določeni pogoji, kot npr. enak status med skupinami, skupni cilji in institucionalna podpora. V prispevku predstavimo rezultate tradicionalnega pregleda literature o teoriji medskupinskega stika. V kontekstu socialne pedagogike opredelimo v znanosti utemeljene strategije za krepitev pozitivnih učinkov medskupinskega stika in izpostavimo pomen obstoja priložnosti za medskupinski stik ter pogoje, ki povečujejo verjetnost za zmanjšanje predsodkov na podlagi le-tega. Predstavimo primer uporabe teorije medskupinskega stika pri oblikovanju vključujočih praks v vzgojno-izobraževalnem sistemu, pri čemer izpostavimo ključno vlogo socialnopedagoške prakse. Pregled literature kaže, da ima teorija med-skupinskega stika sicer velik potencial za razvoj socialnopedagoške teorije in prakse, ki pa v slovenskem vzgojno-izobraževalnem prostoru zahteva nadaljnjo kontekstualizacijo in empirično preverjanje.
Keywords: teorija o medskupinskem stiku, socialna pedagogika, predsodki, vključenost
Published in ReVIS: 15.01.2026; Views: 131; Downloads: 3
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