11. Biotransformation of copper oxide nanoparticles by the pathogenic fungus Botrytis cinereaEva Kovačec, Marjana Regvar, Johannes Teun van Elteren, Iztok Arčon, Tamás Papp, Darko Makovec, Katarina Vogel-Mikuš, 2017, izvirni znanstveni članek Opis: Two plant pathogenic fungi, Botrytis cinerea and Alternaria alternata, isolated from crop plants, were
exposed to Cu in ionic (Cu2þ), microparticulate (MP, CuO) or nanoparticulate (NP, Cu or CuO) form, in
solid and liquid culturing media in order to test fungal response and toxic effects of the mentioned
compounds for the potential use as fungicides. B. cinerea has shown pronounced growth and lower levels
of lipid peroxidation compared to A. alternata. Its higher resistance/tolerance is attributed mainly to
biotransformation of CuO and Cu NPs and CuO MPs into a blue compound at the fungal/culturing media
interface, recognized by Cu K-edge EXAFS analysis as Cu-oxalate complex. The pronounced activity of
catechol-type siderophores and organic acid secretion in B. cinerea induce leaching and mobilization of
Cu ions from the particles and their further complexation with extracellularly secreted oxalic acid. The
ability of pathogenic fungus to biotransform CuO MPs and NPs hampers their use as fungicides. However
the results show that B. cinerea has a potential to be used in degradation of Cu(O) nanoparticles in
environment, copper extraction and purification techniques.
Ključne besede: copper, metal oxide nanoparticles, detoxification mechanisms, metal pollution, Cu-oxalate
Objavljeno v RUNG: 23.08.2017; Ogledov: 4379; Prenosov: 0
Gradivo ima več datotek! Več... |
12. Explicit Feature Construction and Manipulation for Covering Rule Learning AlgorithmsNada Lavrač, Johannes Fuernkranz, Dragan Gamberger, 2010, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Opis: Features are the main rule building blocks for rule learning algorithms. They can be simple tests for attribute values or complex logical terms representing available domain knowledge. In contrast to common practice in classification rule learning, we argue that separation of the feature construction and rule construction processes has theoretical and practical justification. Explicit usage of features enables a unifying framework of both propositional and relational rule learning and we present and analyze procedures for feature construction in both types of domains. It is demonstrated that the presented procedure for constructing a set of simple features has the property that the resulting set enables construction of complete and consistent rules whenever it is possible, and that the set does not include obviously irrelevant features. Additionally, the concept of feature relevancy is important for the effectiveness of rule learning. It this work, we illustrate the concept in the coverage space and
prove that the relative relevancy has the quality-preserving property in respect to the resulting rules. Moreover, we show that the transformation from the attribute to the feature space enables a novel, theoretically justified way of handling unknown attribute values. The same approach
enables that estimated imprecision of continuous attributes can be taken into account, resulting in construction of robust features in respect to this imprecision.
Ključne besede: Machine learning, Feature construction, Rule learning, Unknown attribute values
Objavljeno v RUNG: 14.07.2017; Ogledov: 4380; Prenosov: 0
Gradivo ima več datotek! Več... |
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14. Status and Prospects of the Auger Engineering Radio ArrayJohannes Schulz, Andrej Filipčič, Gašper Kukec Mezek, Ahmed Saleh, Samo Stanič, Marta Trini, Darko Veberič, Serguei Vorobiov, Lili Yang, Danilo Zavrtanik, Marko Zavrtanik, 2015, objavljeni znanstveni prispevek na konferenci Opis: The Auger Engineering Radio Array (AERA) is an extension of the
Pierre Auger Observatory. It is used to detect radio emission
from extensive air showers in the 30 - 80 MHz frequency band.
A focus of interest is the dependence of the radio emission on
shower parameters such as the energy and the atmospheric depth
of the shower maximum. After three phases of deployment, AERA
now consists of 153 autonomous radio stations with different
spacings, covering an area of about 17 km2. The size, station
spacings, and geographic location at the same site or near other
Auger extensions, are all targeted at cosmic ray energies above
10[sup]17 eV. The array allows us to explore different
technical schemes to measure the radio emission as well as to
cross calibrate our measurements with the established baseline
detectors of the Auger Observatory. We present the most recent
technological developments and selected experimental results
obtained with AERA.
Ključne besede: Pierre Auger Observatory, the Auger Engineering Radio Array (AERA), radio emission from extensive air showers, detector cross-calibration
Objavljeno v RUNG: 03.03.2016; Ogledov: 4648; Prenosov: 196
 Celotno besedilo (2,79 MB) |
15. SISTEM ZA POMOČ PRI IZBIRI OBLIKE SPLETNEGA OGLASNEGA SPOROČILA ZA INFORMIRANJE IZBRANIH TIPOV UPORABNIKOVJohannes Vuga Gregorič, 2016, magistrsko delo Opis: Namen dela je preučitev vpliva podajanja informacij z oglasnim sporočilom ciljnemu prejemniku. Spoznati želimo dejavnike, ki vplivajo na učinkovitejše podajanje informacij želenim uporabnikom. Cilj študije je bil izdelati interaktivno bazo podatkov, ki se lahko uporablja kot podlaga za pomoč pri snovanju oglasnih sporočil pa tudi kot pomoč pri prepoznavanju ciljnih uporabnikov za že izdelano oglasno sporočilo. Delo je sestavljeno iz preliminarne in glavne študije. Preliminarna študija zajema 84 osebnih anket, glavna študija pa 196 osebnih in 98 spletnih anket. Merili smo sprejemanje, razumevanje, pomnjenje in vizualizacijo sporočila. Iz zbranih podatkov smo izdelali več baz podatkov, jih analizirali z vrtilnimi tabelami in grafično prikazali povezave med podatki. Dobili smo pregled lastnosti specifičnih uporabnikov za podani tip sporočila. Uporabnost zbranih podatkov smo izboljšali z izdelavo odločitvenih dreves za izbiro tipa sporočila. Pridobljeni podatki in metode uporabe omogočajo izdelavo ustreznega sporočila za ciljnega uporabnika, ob tem pa tudi določitev potencialnih ciljnih uporabnikov za že izdelan oglas.
Ključne besede: sporočanje, spletno oglaševanje, izbira prejemnika sporočila, izbira tipa sporočila, baza podatkov, vrtilna tabela, vrtilni grafikon, odločitveno drevo, rudarjenje podatkov
Objavljeno v RUNG: 21.01.2016; Ogledov: 7187; Prenosov: 236
Celotno besedilo (2,98 MB) |
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17. The northern site of the Pierre Auger ObservatoryJohannes Blümer, Alexandre Creusot, Andrej Filipčič, Mustafa Hussain, Thomas Paul, Darko Veberič, Danilo Zavrtanik, Marko Zavrtanik, 2010, pregledni znanstveni članek Ključne besede: kozmični žarki, vodni Čerenkov detektor, fluorescenčni detektor
Objavljeno v RUNG: 15.10.2013; Ogledov: 5576; Prenosov: 32
 Povezava na celotno besedilo |
18. Reducing the influence of the threshold events on the surface detector energy calibrationIoana C. Maris, Johannes Blűmer, Markus Roth, Michael Unger, Darko Veberič, 2007, elaborat, predštudija, študija Ključne besede: energijska kalibracija, energijski prag, kozmični žarki
Objavljeno v RUNG: 15.10.2013; Ogledov: 5389; Prenosov: 24
Povezava na celotno besedilo |
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