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12. Using statistical analysis of an acceleration-based bridge weigh-in-motion system for damage detectionEugene J. O'Brien, Muhammad Arslan Khan, Daniel Patrick McCrum, Aleš Žnidarič, 2020, original scientific article Abstract: This paper develops a novel method of bridge damage detection using statistical analysis of data from an acceleration-based bridge weigh-in-motion (BWIM) system. Bridge dynamic analysis using a vehicle-bridge interaction model is carried out to obtain bridge accelerations, and the BWIM concept is applied to infer the vehicle axle weights. A large volume of traffic data tends to remain consistent (e.g., most frequent gross vehicle weight (GVW) of 3-axle trucks); therefore, the statistical properties of inferred vehicle weights are used to develop a bridge damage detection technique. Global change of bridge stiffness due to a change in the elastic modulus of concrete is used as a proxy of bridge damage. This approach has the advantage of overcoming the variability in acceleration signals due to the wide variety of source excitations/vehicles–data from a large number of different vehicles can be easily combined in the form of inferred vehicle weight. One year of experimental data from a short-span reinforced concrete bridge in Slovenia is used to assess the effectiveness of the new approach. Although the acceleration-based BWIM system is inaccurate for finding vehicle axle-weights, it is found to be effective in detecting damage using statistical analysis. It is shown through simulation as well as by experimental analysis that a significant change in the statistical properties of the inferred BWIM data results from changes in the bridge condition.
Keywords: bridge health monitoring, bridge WIM, structural dynamics, damage detection, vehicle-bridge interaction
Published in DiRROS: 12.09.2023; Views: 414; Downloads: 167
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13. Poročilo o spremljanju stanja gozdov za leto 2022 : vsebinsko poročilo o spremljanju stanja gozdov v skladu s Pravilnikom o varstvu gozdov (2009)Mitja Ferlan, Andrej Grah, Janez Kermavnar, Nike Krajnc, Lado Kutnar, Nikica Ogris, Anže Martin Pintar, Matej Rupel, Mitja Skudnik, Urša Vilhar, Daniel Žlindra, 2023, final research report Keywords: varstvo gozdov, monitoring, stanje gozdov, zdravstveno stanje krošenj, popis povzročiteljev poškodb, meteorološke meritve, osutost dreves, poročila, Slovenija
Published in DiRROS: 29.06.2023; Views: 501; Downloads: 506
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14. Soil organic carbon stock capacity in karst dolines under different land usesMateja Breg Valjavec, Andraž Čarni, Daniel Žlindra, Matija Zorn, Aleksander Marinšek, 2022, original scientific article Abstract: The soil organic carbon (SOC) was determined in soils of enclosed karst depressions (dolines) (NW Dinaric Mts.) to define their potential for organic carbon sequestration. SOC was measured in the forest, succession (scrubland), and grassland plots at the bottom of dolines at four depths (0–40 cm) and for 40 cm soil layer SOC stock was calculated. We demonstrated that the prevailing fine soil fractions, the C/N ratio and soil thickness play a positive role in the storage capacity of SOC in dolines regardless land use type. Grasslands have the lowest SOC storage capacity (106 t/ha/40 cm), while the highest SOC storage capacity is in succession plots (130 t/ha/40 cm). The last are covered by shrub communities dominated by Prunus spinosa, forming dense communities, and are typical of abandoned croplands or meadows that have been impacted by high levels of nutrients during cultivation phase. At this stage, there is no additional nutrient input in studied plots, which lowers the nutrient content and increases the C/N ratio. C/N ratio is the highest in the forest, where SOC stock capacity is 116 t/ha/40 cm. Given the trend towards the abandonment of agricultural land at Kras Plateau (SW Slovenia), we can expect more overgrowth of dolines, and thus an increase in carbon stocks and stabilization of organic carbon in forest soils. In contrary, we noticed the alarming decrease in grasslands and increase in urban land. The SOC storage in 2020 was for 12,538 t/ha/40 cm lower than in 2002. Although grasslands showed the lowest SOC storage, their contribution to total SOC storage in dolines is very important. Since there is a lack of studies on carbon stocks in doline soils, our research is of great importance and a novelty and gives an important background for further research on SOC stock in karst landscapes worldwide.
Keywords: organic carbon sequestration, karst, grassland, forests, scrubland, dolines
Published in DiRROS: 20.04.2023; Views: 451; Downloads: 293
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16. Analyte-driven clustering of bio-conjugated magnetic nanoparticlesTilen Potisk, Jurij Sablić, Daniel Svenšek, Elena Sanz-de Diego, Francisco J. Teran, Matej Praprotnik, 2023, original scientific article Keywords: biochemistry, nanoparticles, magnetic nanoparticles, proteins, biosensors
Published in DiRROS: 16.03.2023; Views: 582; Downloads: 232
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17. Analysis of the geological control on the spatial distribution of potentially toxic concentrations of As and F- in groundwater on a Pan-European scaleElena Giménez-Forcada, Juan Antonio Luque-Espinar, María Teresa López-Bahut, Juan Grima-Olmedo, Jorge Jiménez-Sánchez, Carlos Ontiveros-Beltranena, José Angel Díaz-Muñoz, Daniel Elster, Ferid Skopljak, Denitza D. Voutchkova, Birgitte Hansen, Klaus Hinsby, Jörg Schullehner, Eline Malcuit, Laurence Gourcy, Teodóra Szőcs, Nóra Gál, Daði Þorbjörnsson, Katie Tedd, Dāvis Borozdins, Henry Debattista, Nina Rman, 2022, original scientific article Abstract: The distribution of the high concentrations of arsenic (As) and fluoride (F-) in groundwater on a Pan-European scale could be explained by the geological European context (lithology and structural faults). To test this hypothesis, seventeen countries and eighteen geological survey organizations (GSOs) have participated in the dataset. The methodology has used the HydroGeoToxicity (HGT) and the Baseline Concentration (BLC) index. The results prove that most of the waters considered in this study are in good conditions for drinking water consumption, in terms of As and/or F- content. A low proportion of the analysed samples present HGT≥ 1 levels (4% and 7% for As and F-, respectively). The spatial distribution of the highest As and/or F- concentrations (via BLC values) has been analysed using GIS tools. The highest values are identified associated with fissured hard rock outcrops (crystalline rocks) or Cenozoic sedimentary zones, where basement fractures seems to have an obvious control on the distribution of maximum concentrations of these elements in groundwaters.
Keywords: trace elements, arsenic fluoride, groundwater, geo-hydrochemistry, spatial analysis
Published in DiRROS: 30.01.2023; Views: 1060; Downloads: 241
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19. Quantitative imaging biomarkers of immune-related adverse events in immune-checkpoint blockade-treated metastatic melanoma patients : a pilot studyNežka Hribernik, Daniel T. Huff, Andrej Studen, Katarina Zevnik, Žan Klaneček, Hamid Emamekhoo, Katja Škalič, Robert Jeraj, Martina Reberšek, 2022, original scientific article Abstract: Purpose: To develop quantitative molecular imaging biomarkers of immune-related adverse event (irAE) development in malignant melanoma (MM) patients receiving immune-checkpoint inhibitors (ICI) imaged with 18F-FDG PET/CT. Methods: 18F-FDG PET/CT images of 58 MM patients treated with anti-PD-1 or anti-CTLA-4 ICI were retrospectively analyzed for indication of irAE. Three target organs, most commonly affected by irAE, were considered: bowel, lung, and thyroid. Patient charts were reviewed to identify which patients experienced irAE, irAE grade, and time to irAE diagnosis. Target organs were segmented using a convolutional neural network (CNN), and novel quantitative imaging biomarkers - SUV percentiles (SUVX%) of 18F-FDG uptake within the target organs - were correlated with the clinical irAE status. Area under the receiver-operating characteristic curve (AUROC) was used to quantify irAE detection performance. Patients who did not experience irAE were used to establish normal ranges for target organ 18F-FDG uptake. Results: A total of 31% (18/58) patients experienced irAE in the three target organs: bowel (n=6), lung (n=5), and thyroid (n=9). Optimal percentiles for identifying irAE were bowel (SUV95%, AUROC=0.79), lung (SUV95%, AUROC=0.98), and thyroid (SUV75%, AUROC=0.88). Optimal cut-offs for irAE detection were bowel (SUV95%>2.7 g/mL), lung (SUV95%>1.7 g/mL), and thyroid (SUV75%>2.1 g/mL). Normal ranges (95% confidence interval) for the SUV percentiles in patients without irAE were bowel [1.74, 2.86 g/mL], lung [0.73, 1.46 g/mL], and thyroid [0.86, 1.99 g/mL]. Conclusions: Increased 18F-FDG uptake within irAE-affected organs provides predictive information about the development of irAE in MM patients receiving ICI and represents a potential quantitative imaging biomarker for irAE. Some irAE can be detected on 18F-FDG PET/CT well before clinical symptoms appear.
Keywords: melanoma, malignant melanoma, immune-checkpoint inhibitors, molecular imaging biomarkers
Published in DiRROS: 07.09.2022; Views: 576; Downloads: 162
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20. Potential of cover crops to control arthropod pests in organic viticultureAurora Ranca, Anne-Laure Fragnière, Sergiu Ayar Ene, Špela Modic, Vittorio Rossi, Tito Caffi, Jaka Razinger, Eugenia Rodrigo Santamalia, Daniel Wipf, Patrik Kehrli, original scientific article Keywords: conservation biological control, pest control, functional diversity
Published in DiRROS: 06.09.2022; Views: 521; Downloads: 271
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