11. Determination of high-time resolution mineral dust concentration in real-time by optical absorption measurementsMatic Ivančič, Irena Ježek, Martin Rigler, Asta Gregorič, Bálint Alföldy, Rok Podlipec, Luka Drinovec, Griša Močnik, 2021, published scientific conference contribution abstract Keywords: mineral dust, concentration, aerosols, air quality Published in RUNG: 17.11.2021; Views: 1626; Downloads: 9 Link to full text This document has many files! More... |
12. High spatial heterogeneity of water stress levels in Refošk grapevines cultivated in Classical KarstFrancesco Petruzzellis, Sara Natale, Luca Bariviera, Alberto Calderan, Alenka Mihelčič, Jan Reščič, Paolo Sivilotti, Katja Šuklje, Klemen Lisjak, Andreja Vanzo, Andrea Nardini, 2022, original scientific article Keywords: Classical Karst, water status, drought stress, grape quality, phenolic profile, vitis vinifera Published in RUNG: 11.11.2021; Views: 1856; Downloads: 0 This document has many files! More... |
13. Quality control of protein reagents for the improvement of research data reproducibilityArio De Marco, Nick Berrow, Mario Lebendiker, Maria Garcia-Alai, Stefan H. Knauer, Blanca Lopez-Mendez, Andre Matagne, Annabel Parret, Kim Remans, Stephan Uebel, Bertrand Raynal, 2021, short scientific article Keywords: protein quality, protein aggregation, data reproducibility Published in RUNG: 17.05.2021; Views: 2003; Downloads: 13 Link to full text This document has many files! More... |
14. Quality control of purified proteins to improve data quality and reproducibility: results from a large-scale surveyNick Berrow, Ario De Marco, Mario Lebendiker, Maria Garcia-Alai, Stefan H. Knauer, Blanca Lopez-Mendez, Andre Matagne, Annabel Parret, Kim Remans, Stephan Uebel, Bertrand Raynal, 2021, original scientific article Keywords: protein quality, biophysical analysis, protein aggregates Published in RUNG: 22.04.2021; Views: 2016; Downloads: 0 This document has many files! More... |
15. Measuring data quality across open government datasetsRajan Gupta, Sushmita Yadav, Avinash Prasad, Saibal K. Pal, 2019, published scientific conference contribution Abstract: Data Quality has become the base for any analytical operation or modelling. Poor Quality of data can lead to poor analytical modeling, which in turn can lead to poor decision making and predictions, which can finally impact the revenue and working of an organization. This is true for both public and private sector organizations. With rise in E-Governance, lot of nations and their respective public sector units are making use of publicly available datasets. But are these datasets reliable and have good quality. This is the major research question studied in this paper. The study collected publicly available datasets from Open Government Data platforms across 8 different nations around the world. More than 300 datasets having roughly 3.5 million rows were assessed for various data quality measures. The various parameters studied for the data were valid data types, correctness, completeness, statistical features, variability, comparability, duplicacy and the likes. Script was written in R to check the value for various measures. It was found that different countries had advantages on different parameters. Not one country was found to have all the parameters to be of high quality. Different ranges were found for the dataset for various parameters which was helpful in determining the overall quality of the dataset. This will be helpful for various public and private sector organizations in assessing the quality of datasets they intend to work on. Substantial efforts and resources can be saved on Advanced Analytics if the quality of dataset can be determined in advance. The proposed data quality assessment model can be applied on any private or public dataset. Different industry and organizations can set different threshold values for the parameters to benchmark their analytical process. Both practitioners and researchers can be benefitted from this research work. Keywords: data quality assessment, open government datasets, e-governance, data quality measures Published in RUNG: 05.04.2021; Views: 2023; Downloads: 0 This document has many files! More... |
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17. Air quality and climate change - how smart can the cities be?Griša Močnik, Matevž Lenarčič, 2020, unpublished invited conference lecture Abstract: What starts as an air quality problem in urban areas, ends up as a climate change problem globally. Emissions from cities and the power generating facilities powering the cities have local, regional and global effects. We show examples spanning these scales with very practical advice on how to start abatement locally. Keywords: air quality, climate change, black carbon, aerosol, co2, smart city Published in RUNG: 11.09.2020; Views: 3091; Downloads: 0 This document has many files! More... |
18. OBJECTIVE AND PERCEIVED ENVIRONMENTAL QUALITY IN THE TOWNS OF ZENICA AND MARIBOR : GROUP PROJECT FINAL REPORTIvana Pandža, Katja Belec, Matjaž Žvokelj, Merima Vrškić, Tajda Huber, Ula Urbas, 2020, treatise, preliminary study, study Abstract: In this study, we measured the concentrations of specific heavy metals in the soil and sediment samples taken on different locations of the cities of Maribor (Slovenia), and Zenica (Bosnia and Herzegovina). The report also includes a questionnaire regarding the residents’ views about the environmental quality of the city they live in. Keywords: Soil, sediments, heavy metals, AAS, pollution, questionnaire, environmental quality. Published in RUNG: 11.09.2020; Views: 2643; Downloads: 0 This document has many files! More... |
19. Production and Quality Control of the Scintillator Surface Detector for the AugerPrime Upgrade of the Pierre Auger ObservatoryJan Pękala, Andrej Filipčič, Gašper Kukec Mezek, Samo Stanič, Marta Trini, Serguei Vorobiov, Lili Yang, Danilo Zavrtanik, Marko Zavrtanik, Lukas Zehrer, 2019, published scientific conference contribution Keywords: ultra-high energy cosmic rays, Pierre Auger Observatory, AugerPrime Observatory Upgrade, Scintillator Surface Detectors (SSDs), SSD Production and Quality Control Published in RUNG: 24.07.2020; Views: 2449; Downloads: 72 Full text (3,86 MB) |
20. A new optical-based technique for real-time measurements of mineral dust concentration in PM10 using a virtual impactorLuka Drinovec, Jean Sciare, IASONAS STAVROULAS, S. Bezantakos, Michael Pikridas, FLORIN UNGA, Chrysanthos Savvides, Bojana Višnjić, Maja Remškar, Griša Močnik, 2020, original scientific article Abstract: Atmospheric mineral dust influences Earth’s radiative
budget, cloud formation, and lifetime; has adverse
health effects; and affects air quality through the increase of
regulatory PM10 concentrations, making its real-time quantification
in the atmosphere of strategic importance. Only
few near-real-time techniques can discriminate dust aerosol
in PM10 samples and they are based on the dust chemical
composition. The online determination of mineral dust using
aerosol absorption photometers offers an interesting and
competitive alternative but remains a difficult task to achieve.
This is particularly challenging when dust is mixed with
black carbon, which features a much higher mass absorption
cross section. We build on previous work using filter photometers
and present here for the first time a highly timeresolved
online technique for quantification of mineral dust
concentration by coupling a high-flow virtual impactor (VI)
sampler that concentrates coarse particles with an aerosol absorption
photometer (Aethalometer, model AE33). The absorption
of concentrated dust particles is obtained by subtracting
the absorption of the submicron (PM1) aerosol fraction
from the absorption of the virtual impactor sample (VIPM1
method). This real-time method for detecting desert
dust was tested in the field for a period of 2 months (April and
May 2016) at a regional background site of Cyprus, in the
Eastern Mediterranean. Several intense desert mineral dust
events were observed during the field campaign with dust
concentration in PM10 up to 45 μgm Keywords: aerosol absorption, mineral dust, on-line detection, air quality Published in RUNG: 20.07.2020; Views: 2655; Downloads: 0 This document has many files! More... |