1. Predictors of sustainable development outcomes in learning spaces of early childhood : Slovenian teachers' perspectivesJurka Lepičnik-Vodopivec, Adrijana Višnjić-Jevtić, Aleksandra Šindić, 2026, izvirni znanstveni članek Opis: This research examined factors associated with sustainable development outcomes (O-SD) in early childhood learning settings, as perceived by preschool teachers, considering environmental, social, and economic aspects along with contextual elements (child age, eco-program affiliation, teacher experience). Data were gathered through an online survey targeting 114 Slovenian preschool teachers in 2024. The reliability of the instrument was high (α = .942), and principal component analysis confirmed its validity. Correlation and stepwise regression analyses identified the key predictors of O-SD. Education focused on economic sustainability and child age emerged as the primary predictors, accounting for approximately 55% of the variance. While social sustainability was frequently observed in practice, it did not prove to be a significant predictor. The findings highlight the importance of developmentally appropriate and age-sensitive strategies, alongside the intentional inclusion of economic considerations. Limitations include a convenience sample and reliance on self-reported data. Future research should aim to replicate these results in diverse settings and consider mixed-method approaches that incorporate children’s perspectives.
Ključne besede: quality education, early childhood education for sustainability, sustainable development outcomes, early childhood learning settings
Objavljeno v RUP: 07.01.2026; Ogledov: 222; Prenosov: 2
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2. Redox state is similar in subjects following omnivorous, vegan, vegetarian, and low-carbohydrate high-fat dietNives Bogataj Jontez, Karin Šik Novak, Zala Jenko Pražnikar, Ana Petelin, Nina Mohorko, Saša Kenig, 2025, izvirni znanstveni članek Opis: Age-related noncommunicable diseases are a major health burden in developed countries, with oxidative stress being a key contributing factor. This cross-sectional study aimed to test the hypothesis that redox status among 88 participants with a particular interest in nutrition and habitually following 4 popular dietary patterns (vegan, vegetarian, low-carbohydrate high-fat, and omnivorous), is similar, but correlates with diet quality. Dietary intake was assessed using food diaries, and venous blood samples were collected to measure serum total antioxidative capacity (TAC), bilirubin, nicotinamide adenine dinucleotide (NAD⁺)/reduced form of nicotinamide adenine dinucleotide (NADH) ratio, and sirtuin 1 concentration, and the expression of antioxidative enzymes in leukocytes. TAC and the NAD⁺/NADH ratio were higher in the vegan group compared with the vegetarian group, whereas bilirubin concentration was higher in the omnivorous compared with the low-carbohydrate high-fat group. Other differences between the dietary groups were not significant. NAD+/NADH ratio and sirtuin 1 were positively correlated with diet quality, assessed with the Healthy Eating Index. Correlation analysis between dietary variables and redox markers revealed only a few weak to moderate associations. However, a hierarchical regression model including age, gender, and dietary variables explained 19.8% of the variance in TAC, 21.2% of the variance in the NAD⁺/NADH ratio, and 44.3% of the variance in sirtuin 1 concentration. Therefore, in healthy, relatively young participants with appropriate energy intakes, endogenous mechanisms are able to compensate for oxidative stress to a similar extent, regardless of dietary pattern. Nonetheless, overall diet quality and food selection appear to play a meaningful role in redox balance.
Ključne besede: oxidative stress, total antioxidative capacity, sirtuin 1, diet quality
Objavljeno v RUP: 02.12.2025; Ogledov: 348; Prenosov: 2
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4. Linking older adults’ psychosocial well-being with objective and perceived environments in SloveniaMateja Erce Paoli, Michael David Burnard, 2025, izvirni znanstveni članek Opis: Background: Europe’s aging population faces resource loss, loneliness, and social isolation, making psychosocial well-being a priority. A well-designed environment can help compensate for lost resources, while poor design may harm health, highlighting environmental quality as key to successful aging. Aim: The aim of our study was to evaluate the link between psychosocial well-being, and the built environment. Method: Participants from three retirement homes in Slovenia filled in the World Health Organization Wellbeing Index, the Brief Sense of Community, the Lubben Social Network Scale, the University of California Los Angeles Loneliness Scale, and the short version of the Social Production Function Instrument with the assistance of a researcher. Additionally, the built environ- ment was objectively assessed using the EVOLVE tool and subjectively assessed by participants using a custom scale. Structural equation modeling was used to examine paths between the environ- ment and wellbeing. Results: The findings showed a statistically significant indirect effect of well-being on the perceived environment, while no indirect effects were found between the objective and per- ceived environment or well-being. However, specific objectively measured environmental factors, such as acceptability, features for sensory and dementia support, and perceived accessibility and aesthetic environmental attributes significantly affect well-being. Conclusion: These findings highlight the need to prioritize well-being in urban planning for aging populations. Beyond basic needs like safety, high- level needs like aesthetics, sensory support, and accessibility should be emphasized. Enhancing well- being through these factors may be effective when designing or modifying physical environments. Accessible, sensory-friendly, and dementia-supportive designs can further support healthy aging.
Ključne besede: needs, retirement homes, successful aging, environmental quality, structural equation modelling
Objavljeno v RUP: 22.07.2025; Ogledov: 717; Prenosov: 8
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5. Making sense of the algorithm : perceptions of algorithmic management in location-based platform workBarbara Švagan, Suzana Laporšek, Ajda Fošner, Suzana Sedmak, Elizabeta Zirnstein, Ana Grdović Gnip, Klemen Širok, Igor Stubelj, 2025, objavljeni povzetek znanstvenega prispevka na konferenci Opis: This study explores how on-location platform workers perceive and interpret algorithmic management within digitally mediated labor environments. While platforms often present their algorithmic systems as neutral, objective, and designed for efficiency, workers frequently encounter them as opaque, inconsistent, and lacking in transparency. In the absence of clear communication about how decisions, such as task allocation, performance ratings, and disciplinary measures, are made, workers engage in a process of sensemaking and develop informal theories to explain how the system functions. These interpretations play a key role in shaping workers’ daily strategies and behaviors. Perceptions about what actions are rewarded or punished, such as logging in at certain times, consistently accepting tasks, or demonstrating specific behavioral patterns, influence how workers organize their availability, pace their work, and try to align with platform expectations. Even when these assumptions are speculative, they nonetheless produce real behavioral effects. In this way, algorithmic ambiguity becomes a powerful mechanism of indirect control. Workers begin to self-discipline based on presumed algorithmic preferences, even in the absence of formal rules or explicit feedback. This dynamic reinforces power asymmetries, as the platform retains control over decision making while minimizing accountability and managerial visibility. Drawing on existing empirical literature, this study argues that the power of algorithmic management lies not only in its ability to automate coordination and oversight, but also in the psychological and behavioral effects it produces through uncertainty. By centering the interpretations and practices of workers, the paper offers insight into the lived experience of platform work and the subtle, often invisible mechanisms through which control is exercised. This perspective contributes to a more nuanced understanding of algorithmic governance in the platform economy, emphasizing that platform power operates as much through worker perception as it does through code. Our study also highlights the need for further research into how such systems shape worker agency, motivation, and well-being.
Ključne besede: platform work, algorithmic management, job quality
Objavljeno v RUP: 01.07.2025; Ogledov: 901; Prenosov: 21
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6. Occupancy estimation using indoor air quality data : opportunities and privacy implicationsDomen Vake, Niki Hrovatin, Jernej Vičič, Aleksandar Tošić, 2025, izvirni znanstveni članek Opis: Indoor Air Quality (IAQ) has long been a significant concern due to its health-related risks and potential benefits. Readily available air quality sensors are now affordable and have been installed in many buildings with public buildings taking center stage. The dynamics of IAQ are commonly studied in relation to different materials used in construction, building design, room utility and effects on occupants. However, besides what the sensors were designed to measure, it is possible to infer other information. In this paper, we present a Machine Learning (ML) model that predicts the presence of people in the room with an accuracy as high as 93 % and the exact number of occupants with 2.17 MAE. We validate our proposed approach in the use-case of an elementary school in Slovenia. In collaboration with the elementary school in Ajdovščina, 8 air quality sensors were placed in classrooms and air quality parameters (VOC, CO, Temperature, and Humidity) were monitored for 6 months. During the monitoring period, school staff collected anonymous data about classroom occupancy. The indoor air quality data was paired with external weather data as well as occupancy to train the model. Moreover, we compare our approach with other commonly used ML approaches and provide results related to our use case. Finally, these results highlight the privacy concerns related to structural monitoring due to the established ability to infer potentially sensitive information.
Ključne besede: indoor air quality, occupancy estimation, machine learning, sensor networks, privacy, building monitoring
Objavljeno v RUP: 02.06.2025; Ogledov: 1121; Prenosov: 7
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7. Physico-chemical and ecotoxicological evaluation of marine sediments quality in vicinity of communal outlet Cuvi : Rovinj coastal area, NE Adriatic sea, CroatiaIvan Radetić, 2024, magistrsko delo Ključne besede: marine sediments, wastewater treatment plant, contamination, sediment quality guidelines, chemical analyses, ecotoxicology
Objavljeno v RUP: 13.10.2024; Ogledov: 2456; Prenosov: 8
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8. A destination's social sustainability : linking tourism development to residents's quality of lifeEmil Juvan, Eva Podovšovnik, Miha Lesjak, Jasmina Jurgec, 2021, izvirni znanstveni članek Ključne besede: sustainable tourism, social sustainability, quality of life, residents, destination
Objavljeno v RUP: 01.12.2021; Ogledov: 2676; Prenosov: 52
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