1. How valid are wearable devices in team sports? : a systematic reviewNebojša Čokorilo, Nikola Manolopoulos, Tamara Matijević, Ranko Rajović, 2026, pregledni znanstveni članek Opis: The aim of this systematic review was to evaluate the validity and accuracy of wearable technologies used for monitoring physiological metrics in team-sport athletes. A systematic literature search was conducted in PubMed and Scopus databases, with additional studies identified through supplementary searching. Studies published between 2015 and 2025 were included if they assessed wearable devices in team-sport populations and compared their measurements with gold-standard methods. A total of eleven studies met the inclusion criteria. The findings indicate that heart rate monitoring demonstrates consistently high validity across different wearable devices, particularly in controlled laboratory conditions. In contrast, energy expenditure estimation shows substantial variability and systematic underestimation, especially during high-intensity and intermittent activities typical of team sports. VO2max estimation presents mixed validity depending on device type and testing protocol, while respiratory frequency measurement demonstrates high agreement with gold-standard methods when assessed using specialized devices. Overall, wearable technologies provide valuable insights into athlete monitoring; however, their accuracy varies considerably depending on the physiological parameter and testing environment. These findings highlight the need for improved validation protocols and caution in the application of wearable-derived data in high-performance team-sport settings.
Ključne besede: physiological monitoring, team sport athletes, heart rate, energy expenditure, VO2max, inertial sensors, validation studies
Objavljeno v RUP: 30.06.2026; Ogledov: 139; Prenosov: 7
 Celotno besedilo (725,41 KB)
Gradivo ima več datotek! Več... |
2. A new wildlife monitoring app in Slovenia : a pilot evaluation of data quality and useŽiga Velkavrh, Luka Duniš, Boštjan Pokorny, Hubert Potočnik, Elena Bužan, 2026, izvirni znanstveni članek Opis: Wildlife monitoring is crucial for successful conservation and management of wildlife populations. To support modern wildlife monitoring approaches in Slovenia, we developed SRNA, a nationwide citizen science appli- cation that collects additional metadata on several terrestrial vertebrate species. The app is designed for two groups of citizen scientists, hunters and other nature observers. To foster learning, it features a photo-based wildlife identification quiz and species identification guides. This pilot study evaluated app use and data quality with two aims: (1) to assess users’ ability to identify wildlife species from photos, focusing on taxa expected to be challenging to identify, and to test whether identification accuracy varies across mammal groups; (2) to analyse wildlife observation data submitted through SRNA. Users were successful in identifying several distinctive species but had some difficulty distinguishing between certain mustelids, and between golden jackal and grey wolf, indicating priorities for targeted educational campaigns. Biology-related educational background facilitated identification of mustelids and, to a lesser extent, canids. In its first year, SRNA collected 1633 observations via 742 reports, predominantly of European roe deer. Hunters and nature observers contributed complementary data: differences were observed not only in the number of reported species and amount of data they provided, but also in reporting patterns across biogeo- graphic regions, reporting rates, and the average delay time between encounters and submissions. This study demonstrates that SRNA provides promising complementary data for wildlife monitoring, but also highlights data quality limitations (biases and verification issues) that must be taken into account when using SRNA data.
Ključne besede: application for wildlife monitoring, citizen science, mammals, Slovenia, SRNA app, Wildlife identification quiz
Objavljeno v RUP: 08.04.2026; Ogledov: 473; Prenosov: 13
Celotno besedilo (7,25 MB)
Gradivo ima več datotek! Več... |
3. Occupancy of artificial shelters by European tree frog (Hyla arborea) in Škocjanski zatok Nature Reserve : a non-invasive sampling method in ecologically sensitive habitatsMartin Senič, Matic Jančič, Jure Jugovic, Kevin Rečnik, Sara Zupan, Martina Lužnik, 2025, izvirni znanstveni članek Opis: Monitoring amphibians in non-breeding habitats is constrained by low detectability and potential disturbance to sensitive ecosystems. We tested the effectiveness of artificial shelters - PVC pipes - as a non-invasive method for monitoring the European tree frog (Hyla arborea) outside the breeding season in Škocjanski zatok Nature Reserve (Koper, Slovenia). Over three years (2022–2024), we installed 40- and 50-mm diameter shelter pipes at 24 sites and conducted regular inspections. A total of 338 encounters of the focal species were recorded, with frogs of all sizes using the shelters. Overall shelter occupancy declined across years, possibly reflecting a combination of factors including reduced recruitment, vegetation changes, demographic fluctuations, and weather conditions. A statistically significant trend was observed, with narrower (40-mm) shelter pipes having 1.6 to 1.7 times more captures than wider (50-mm) ones, despite no significant difference in the body size of frogs occupying each type. By using PVC artificial shelters, we greatly enhanced the detectability of H. arborea in the Škocjanski zatok Nature Reserve compared to classical monitoring methods such as acoustic surveys or dip-netting. Importantly, a non-invasive approach using artificial shelters minimized the risk of disturbance to breeding and migratory birds, which is essential in areas with high avifaunal conservation value. Our results support the broader use of artificial shelters for monitoring arboreal amphibians in ecologically sensitive areas and suggest future research should explore finer-scale shelter design to improve detection and ecological interpretation across life stages.
Ključne besede: Hyla arborea, artificial shelters, PVC pipes, amphibian monitoring, protected areas
Objavljeno v RUP: 14.01.2026; Ogledov: 713; Prenosov: 11
Celotno besedilo (928,26 KB)
Gradivo ima več datotek! Več... |
4. Piškurji Slovenije : pregled in primerjava metod izlovaLuka Ložar, 2025, diplomsko delo Ključne besede: elektroribolov, Eudontomyzon vladykovi, Lampetra zanandreai, metoda ZZRS, monitoring, piškurji, posplošeni linearni mešani model, učinkovitost izlova, vzorčenje, diplomske naloge
Objavljeno v RUP: 07.10.2025; Ogledov: 816; Prenosov: 0 |
5. |
6. Monitoring of sandflies (Diptera: Psychodidae) and pathogen screening in Slovenia with habitat suitability modelingVladimir Ivović, Peter Glasnović, Sara Zupan, Tea Knapič, Tomi Trilar, Miša Korva, Nataša Knap, Urška Glinšek Biškup, Tatjana Avšič-Županc, Katja Adam, 2025, izvirni znanstveni članek Opis: Sandflies (Diptera: Psychodidae: Phlebotominae) are important vectors of pathogens, including Leishmania parasites and phleboviruses, but their distribution and seasonal activity in Slovenia have not been sufficiently studied. This study presents a comprehensive three-year (2020–2022) surveillance programme aimed at assessing the diversity of sandfly species, their distribution, seasonal dynamics and potential role as vectors of pathogens. A total of 1,240 sandflies were collected at 43 sampling sites across Slovenia, identifying Phlebotomus papatasi, P. neglectus, P. perniciosus and P. mascittii. The highest abundance and species diversity were observed in the Mediterranean and Karst regions. Seasonal activity peaked in July, with population fluctuations influenced by climatic conditions. Molecular analyses for Leishmania parasites and phleboviruses showed no positive results, indicating a low prevalence of pathogens in the sampled populations. Predictive habitat models indicate that environmental factors, particularly temperature and precipitation, play a decisive role in the spread of sandflies. While P. mascittii has the largest ecological range, its vector competence remains uncertain. The results provide important insights into the ecology of sandflies in Slovenia and emphasize the need for continuous surveillance in the context of climate change and emerging vector-borne disease risks.
Ključne besede: sandflies, monitoring, distribution, modeling, Slovenia
Objavljeno v RUP: 04.08.2025; Ogledov: 991; Prenosov: 9
Celotno besedilo (2,94 MB)
Gradivo ima več datotek! Več... |
7. 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: 1930; Prenosov: 13
Celotno besedilo (3,66 MB)
Gradivo ima več datotek! Več... |
8. |
9. |
10. Extending BIM for air quality monitoringMichael Nicolas Mrissa, Jan Vcelak, László Hajdu, Balázs Dávid, Miklós Ferenz Krész, Jakub Michal Sandak, Anna Malgorzata Sandak, Rok Kanduti, Monika Varkonji, Anja Jutraž, Katja Malovrh Rebec, 2020, objavljeni znanstveni prispevek na konferenci Ključne besede: Building Information Model, internet of things, environmental quality monitoring, healthy living
Objavljeno v RUP: 06.05.2021; Ogledov: 3214; Prenosov: 122
Celotno besedilo (18,89 MB)
Gradivo ima več datotek! Več... |
