Repozitorij Univerze v Novi Gorici

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Ivana Pandža, Katja Belec, Matjaž Žvokelj, Merima Vrškić, Tajda Huber, Ula Urbas, 2020, elaborat, predštudija, študija

Opis: 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.
Najdeno v: ključnih besedah
Ključne besede: Soil, sediments, heavy metals, AAS, pollution, questionnaire, environmental quality.
Objavljeno: 11.09.2020; Ogledov: 1059; Prenosov: 0
.pdf Polno besedilo (10,44 MB)

Studying TDEs in the era of LSST
Katja Bricman, A. Gomboc, 2019, objavljeni povzetek znanstvenega prispevka na konferenci

Najdeno v: ključnih besedah
Povzetek najdenega: ...estimate the number of TDEs with good quality light curves the LSST is expected to...
Ključne besede: The observing strategy with continuous scanning and large sky coverage of the upcoming ground-based Large Synoptic Survey Telescope (LSST) will make it a perfect tool in search of rare transients, such as Tidal Disruption Events (TDEs). Bright optical flares resulting from tidal disruption of stars by their host supermassive black hole (SMBH) can provide us with important information about the mass of the SMBH involved in the disruption and thus enable the study of quiescent SMBHs, which represent a large majority of SMBHs found in centres of galaxies. These types of transients are extremely rare, with only about few tens of candidates discovered so far. It is expected that the LSST will provide a large sample of new TDE light curves. Here we present simulations of TDE observations using an end-to-end LSST simulation framework. Based on the analysis of simulated light curves we estimate the number of TDEs with good quality light curves the LSST is expected to discover in 10 years of observations. In addition, we investigate whether TDEs observed by the LSST could be used to probe the SMBH mass distribution in the universe. The participation at this conference is supported by the Action CA16104 Gravitational waves, black holes and fundamental physics (GWverse), supported by COST (European Cooperation in Science and Technology).
Objavljeno: 04.01.2021; Ogledov: 932; Prenosov: 0

Measuring data quality across open government datasets
Avinash Prasad, Saibal K. Pal, Rajan Gupta, Sushmita Yadav, 2019, objavljeni znanstveni prispevek na konferenci

Opis: 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.
Najdeno v: ključnih besedah
Ključne besede: data quality assessment, open government datasets, e-governance, data quality measures
Objavljeno: 05.04.2021; Ogledov: 626; Prenosov: 0
.pdf Polno besedilo (10,22 MB)
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High spatial heterogeneity of water stress levels in Refošk grapevines cultivated in Classical Karst
Andrea Nardini, Katja Šuklje, Klemen Lisjak, Andreja Vanzo, Francesco Petruzzellis, Sara Natale, Luca Bariviera, Alberto Calderan, Alenka Mihelčič, Jan Reščič, Paolo Sivilotti, 2022, izvirni znanstveni članek

Najdeno v: ključnih besedah
Povzetek najdenega: ...Classical Karst, water status, drought stress, grape quality, phenolic profile, vitis vinifera...
Ključne besede: Classical Karst, water status, drought stress, grape quality, phenolic profile, vitis vinifera
Objavljeno: 11.11.2021; Ogledov: 221; Prenosov: 0
.pdf Polno besedilo (4,92 MB)

Determination of high-time resolution mineral dust concentration in real-time by optical absorption measurements
Matic Ivančič, Irena Ježek, Martin Rigler, Asta Gregorič, Balint Alfoldy, Rok Podlipec, Luka Drinovec, Griša Močnik, 2021, objavljeni povzetek znanstvenega prispevka na konferenci

Najdeno v: ključnih besedah
Ključne besede: mineral dust, concentration, aerosols, air quality
Objavljeno: 17.11.2021; Ogledov: 205; Prenosov: 1
.pdf Polno besedilo (49,11 MB)
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