71. Sensitivity analysis of RF+clust for leave-one-problem-out performance predictionAna Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korošec, Tome Eftimov, 2023, objavljeni znanstveni prispevek na konferenci Ključne besede: automated performance prediction, autoML, single-objective black-box optimization, zero-shot learning Objavljeno v DiRROS: 13.11.2023; Ogledov: 342; Prenosov: 205 Celotno besedilo (4,94 MB) Gradivo ima več datotek! Več... |
72. Closing data gaps and paving the way for pan-European fire safety efforts : Part IMartina Manes, Mohamad El Houssami, Richard Campbell, Ana Sauca, David Rush, Anja Hofmann, Petra Andersson, Peter Wagner, Sergei Sokolov, Johanna Veeneklaas, Margrethe Kobes, Dirk Oberhagemann, Nicola Rupp, Grunde Jomaas, Friedrich Grone, Patrick van Hees, Eric Guillaume, 2023, izvirni znanstveni članek Povzetek: The analysis of the current state of fire statistics and data collection in Europe and other countries is needed to increase awareness of how fire incidents affect buildings and to support pan-European fire prevention and fire mitigation mea- sures. The terminology and data collected regarding fire incidents in buildings in the EU Member States were mapped to obtain meaningful datasets to determine common terminology, collection methodology, and data interpretation system. An extensive literature review showed that fire data collection systems have been instrumental in informing firefighting strategies, evidence-based planning, prevention, and educational programmes. Differences and similarities between fire data collection systems were also investigated. The amount and quality of the information in fire statistical recording systems appear to be influenced by the complexity and structure with which the data are collected. The analysis also examined the existing fire statistics in the EU Member States and a few other countries. Finally, a detailed investigation of the number of fires, fire deaths, and injuries from 2009 to 2018 in several countries was examined based on data from a report by CTIF. The trends showed differences attributable to the existing fire statistical practices in terms of terminology and data collection, and interpretation. Part II proposes a common terminology for selected fire statistical variables. The results provide relevant information regarding fire safety at the European level and should be used to guide the development of more uniform fire statistics across Europe. Ključne besede: fire statistics, fire incidents, fire statistical variable, terminology, data collection, data interpretation Objavljeno v DiRROS: 13.11.2023; Ogledov: 402; Prenosov: 114 Povezava na datoteko |
73. Bolezni, škodljivci in sušni stres pri navadni bukvi v različnih scenarijih podnebnih sprememb (V4-2026) : Aktivnost 2.1: Vzroki hiranja navadne bukve v SlovenijiNikica Ogris, Andreja Kavčič, Janja Zajc, Ana Brglez, Maarten De Groot, Barbara Piškur, 2023, elaborat, predštudija, študija Ključne besede: kompleksna bolezen, škodljiv dejavnik, hiranje, fakultativen patogen, endofit, sušni stres, stresni dejavniki Objavljeno v DiRROS: 03.11.2023; Ogledov: 364; Prenosov: 88 Celotno besedilo (948,27 KB) |
74. A Raman microspectroscopy-based comparison of pigments applied in two gothic wall paintings in SloveniaMaja Gutman, Ajda Mladenovič, Anabelle Križnar, Sabina Dolenec, 2019, izvirni znanstveni članek Povzetek: The present study deals with the characterisation of pigments used in two overlaid gothic wall paintings from the former 13th century Minorite church of St. Francis of Assisi (Koper, Slovenia), in order to define differences in the technologies used. Paint layer samples were analysed via Raman microspectroscopy, supported by SEM/EDS and FTIR analysis, when necessary. The results revealed that the 14th century mural was painted mainly a fresco with final elements a secco, a technique typical of Italian mediaeval wall painting. In contrast, the 15th century painting was executed mostly a secco, a technique often applied in Northern Europe and the Alpine region. The differences between the two paintings are especially obvious in the pigments applied. While the earlier painting is characterised by azurite, carbon black, red and yellow ochres, lime white and green earth, the palette used for the younger painting is much broader. In addition to red and yellow ochres, carbon black and lime white, lead pigments such as lead white, red lead and lead-tin yellow type I were also determined, as well as a number of expensive pigments including cinnabar, azurite and malachite. Also found in the younger painting was the rare orange yellow pigment vanadinite. In both layers, azurite was applied a secco for the background area. Gilding was confirmed in both layers, carried out as application of gold leaves on red bole (in the earlier mural) and on mordant (on a younger, superimposed (overlaid painting), which is quite exclusive and rare for Slovene mediaeval painting. In the younger layer also a use of tin foil for secondary elements was discovered. Ključne besede: wall paintings, pigments, Gothic, golding, Raman microspectroscopy Objavljeno v DiRROS: 27.10.2023; Ogledov: 400; Prenosov: 165 Celotno besedilo (4,58 MB) Gradivo ima več datotek! Več... |
75. Lignin-based covalent adaptable network polymers─when bio-based thermosets meet recyclable by designDavide Benedetto Tiz, Filipa A. Vicente, Ana Kroflič, Blaž Likozar, 2023, pregledni znanstveni članek Ključne besede: dynamic covalent bonds, bio-based polymers, lignin, vanillin, eugenol, syringaldehyde Objavljeno v DiRROS: 29.09.2023; Ogledov: 345; Prenosov: 161 Celotno besedilo (4,55 MB) Gradivo ima več datotek! Več... |
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78. Chemotherapy for hürthle cell carcinoma based on sequential DNA measurementsMarija Auersperg, Ruda Zorc-Pleskovič, Marija Us-Krašovec, Ana Pogačnik, Gabrijela Petrič, Olga Vraspir-Porenta, 1988, izvirni znanstveni članek Ključne besede: rak (medicina), karcinom, zdravljenje, kemoterapija, DNA Objavljeno v DiRROS: 15.09.2023; Ogledov: 302; Prenosov: 87 Celotno besedilo (737,50 KB) |
79. Algorithm instance footprint : separating easily solvable and challenging problem instancesAna Nikolikj, Sašo Džeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korošec, Tome Eftimov, 2023, objavljeni znanstveni prispevek na konferenci Ključne besede: black-box optimization, algorithms, problem instances, machine learning Objavljeno v DiRROS: 15.09.2023; Ogledov: 296; Prenosov: 197 Celotno besedilo (2,03 MB) Gradivo ima več datotek! Več... |
80. Assessing the generalizability of a performance predictive modelAna Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korošec, Tome Eftimov, 2023, objavljeni znanstveni prispevek na konferenci Ključne besede: algorithms, predictive models, machine learning Objavljeno v DiRROS: 15.09.2023; Ogledov: 317; Prenosov: 208 Celotno besedilo (935,67 KB) Gradivo ima več datotek! Več... |