71. 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: 92; Downloads: 0
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72. 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: 60; Downloads: 1
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73. 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: 68; Downloads: 1
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74. 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: 97; Downloads: 0
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77. 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: 38; Downloads: 1
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79. Skriti obrazi izključevanja : stigma otrok s posebnimi potrebami v očeh vrstnikovTjaša Lah, Andreja Kozmus, 2025, original scientific article Abstract: V prispevku se osredotočamo na stigmatizacijo, še posebej otrok s posebnimi potrebami (OPP), ki obiskujejo izobraževalni program osnovne šole s prilagojenim izvajanjem in dodatno strokovno pomočjo. V teoretičnem delu so predstavljene temeljne oblike stigmatizacije, ki se odražajo skozi medsebojno povezane stereotipe, predsodke in diskriminacijo na sistemski (ableizem) in neposredni, odnosni (disableizem) ravni. V empiričnem delu predstavljamo ugotovitve raziskave, izvedene med 120 osmošol-ci, ki obiskujejo OŠ na območju Kozjanskega in Obsotelja. V raziskavi smo proučevali zaznave osmošolcev glede prisotnosti stigmatizacije OPP v družbi, še posebej so nas zanimale razlike po spolu in stališča osmošolcev do OPP. Rezultati kažejo, da osmošolci zaznavajo prisotnost stigmatizacije v družbi, a le pri posameznih trditvah. Pomembne razlike po spolu so redko prisotne. V stališčih do določenih značilnosti OPP so osmošolci večinoma neopredeljeni, za OPP pogosteje menijo, da so nepredvidljivi, imajo težave s samoregulacijo vedenja in so nesamostojni. Neenotne ugotovitve kažejo na potrebo po sistematičnem naslavljanju stigmatizacije v šolskem prostoru.
Keywords: diskriminacija, osnovna šola, otroci s posebnimi potrebami, osmošolci, stigmatizacija
Published in ReVIS: 15.01.2026; Views: 37; Downloads: 1
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