631. Pigment analysis of Roman wall paintings from two villae rusticae in SloveniaMaja Gutman, Katharina Zanier, Judita Lux, Sabina Dolenec, 2016, original scientific article Abstract: The study deals with the characterisation of paint layers from the wall paintings that decorated two excavated Roman villae rusticae in Slovenia. The villa in Mošnje, located in the NW of Slovenia, was built in the 1st half of the 1st century AD and was in use until the end of the 2nd century AD, while the coastal villa in Školarice, built in the second quarter of the 1st century AD, remained in use until the mid-5th century. Stratigraphy and painting techniques were studied using optical microscopy, with pigments identified via Raman microspectroscopy supported by FTIR microspectroscopy and SEM/EDS. The results of this analysis revealed that whereas the Školarice wall paintings were mainly executed using the fresco technique and some areas with the secco technique, both techniques were identified equally in the Mošnje paintings. Red ochre, lime white and carbon black pigments were identified in both the Mošnje and Školarice paintings, although the latter were also characterised by the use of yellow ochre and green earth.
Keywords: Roman villas, mural painting, pigments, Raman microspectroscopy
Published in DiRROS: 16.09.2024; Views: 211; Downloads: 63
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632. Načrt upravljanja s populacijami ptic na območju zadrževalnika Medvedce : končno poročiloDejan Bordjan, Luka Božič, Tomaž Jančar, 2013, final research report Abstract: Mokrišča so vrstno bogat in pomemben del okolja. Zadržujejo in čistijo vodo, vlažijo ozračje in so pomemben vir hrane za ljudi. Mokrišča so tudi eno izmed tistih okolij, ki so v preteklosti bila najbolj na udaru in so v veliki meri izginila ali pa so močno spremenjena. Tako je bilo močno spremenjenih ali uničenih več kot 75% mokrišč ob Jadranski obali (ŠTUMBERGER & SACKL 2010), 50% v Severni Ameriki (MITSCH & GOSSELINK 2007). Lokalno je bila izguba mokrišč še večja (PETKOV 2003). Veliko pove tudi podatek, da od 177 najdaljših rek na svetu jih je deset let nazaj samo 21 neovirano priteklo od izvira do izliva. V Sloveniji stanje ni nič boljše. Mokrišče je močno povezano z okolišnjimi okolji in sprememba mokrišča vodi tudi v pogosto negativne spremembe teh okolij.
Keywords: ptiči, naravovarstvo, ekologija
Published in DiRROS: 16.09.2024; Views: 206; Downloads: 1057
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634. Kakovost obalnega morja v letu 2012 : poročilo za leto 2012Valentina Turk, Oliver Bajt, Janja Francé, Mateja Poje, Andreja Ramšak, Milijan Šiško, Alenka Malej, final research report Abstract: R Slovenija s programom »Spremljanje kakovosti morja v skladu z Barcelonsko konvencijo« sodeluje pri aktivnostih in izvajanju Protokola o varstvu Sredozemskega morja pred onesnaženjem s kopnega (UNEP /MED POL). Dolgoletni niz rezultatov kemičnih in bioloških parametrov programa MED POL omogoča sledenje sprememb v okolju in primerjavo kakovosti obalnega morja z ostalimi obalnimi vodami Jadranskega in Sredozemskega morja. Trenutno poteka četrta faza MED POL programa. Program poteka v sodelovanju Morske biološke postaje, Nacionalnega inštituta za biologijo, z različnimi inštituti odgovornimi za posamezne analize, izvajanje programa pa omogoča Agencija R Slovenije za vode. Letno poročilo vključuje rezultate mikrobioloških analiz kakovosti naravnih kopalnih voda, fizikalno-kemične in biološke analize morske vode za oceno stopnje evtrofikacije, rezultate analiz onesnaženja z alifatskimi in policikličnimi aromatskimi ogljikovodiki, kadmijem in živim srebrom v sedimentu in morskih organizmih (školjkah), oceno vnosa s kopenskih točkovnih virov onesnaženja v morje in rezultate analiz biomonitoringa za oceno bioloških posledic onesnaženja na morskih organizmih.
Keywords: varstvo narave, kakovost morja, kontrola kakovosti, morje, onesnaževanje, ekologija morja, monitoring, TRIX, indeks trofičnosti, evtrofizacija, trofični indeks, Tržaški zaliv, težke kovine, Jadransko morje
Published in DiRROS: 16.09.2024; Views: 267; Downloads: 667
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635. Vzorčenje in analiza bioloških vzorcev fitobentosa; vzorčenje in analiza 10 vzorcev nabranih na potencialnih referenčnih odsekih : (končno poročilo)Gorazd Kosi, Milijan Šiško, Tina Eleršek, final research report Abstract: V poletnem obdobju 2014 smo vzorčevali fitobentos na 10 lokacijah. Izbrane lokacije so nam posredovali z Inštituta za vode RS. Vsa izbrana mesta naj bi predstavljala referenčna mesta. Nalogo smo izvedli skladno s projektno nalogo, ki so jo pripravili sodelavci Inštituta za vode RS. Program dela Nacionalnega inštituta za biologijo smo v celoti izvedli (projektna naloga; „Vzorčenje in analiza bioloških vzorcev fitobentosa; vzorčenje in analiza 10 vzorcev nabranih na potencialnih referenčnih odsekih„ pogodba: IZV št.pog38/14-SP). V tiskani verziji poročila podajamo podatke o fitobentosu, za diatomeje, podatke o osnovnih fizikalno kemijskih lastnostih vode ter opažanja na terenu (protokol vzorčevanja). Za posamezne lokacije smo izračunali saprobni in trofični indeks ter pripadajoče REK vrednosti. Elektronski verziji poročila smo dodali še fotografije vzorčevanih mest. Podatke bomo, če bodo izkazovali referenčne razmere, kasneje uporabili pri korekciji referenčnih razmer za nekatere tipe slovenskih vodotokov.
Keywords: voda, vzorčenje, metode
Published in DiRROS: 16.09.2024; Views: 231; Downloads: 104
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636. Zero-shot evaluation of ChatGPT for food named-entity recognition and linkingMatevž Ogrinc, Barbara Koroušić-Seljak, Tome Eftimov, 2024, original scientific article Abstract: Introduction: Recognizing and extracting key information from textual data plays an important role in intelligent systems by maintaining up-to-date knowledge, reinforcing informed decision-making, question-answering, and more. It is especially apparent in the food domain, where critical information guides the decisions of nutritionists and clinicians. The information extraction process involves two natural language processing tasks named entity recognition—NER and named entity linking—NEL. With the emergence of large language models (LLMs), especially ChatGPT, many areas began incorporating its knowledge to reduce workloads or simplify tasks. In the field of food, however, we noticed an opportunity to involve ChatGPT in NER and NEL.
Methods: To assess ChatGPT's capabilities, we have evaluated its two versions, ChatGPT-3.5 and ChatGPT-4, focusing on their performance across both NER and NEL tasks, emphasizing food-related data. To benchmark our results in the food domain, we also investigated its capabilities in a more broadly investigated biomedical domain. By evaluating its zero-shot capabilities, we were able to ascertain the strengths and weaknesses of the two versions of ChatGPT.
Results: Despite being able to show promising results in NER compared to other models. When tasked with linking entities to their identifiers from semantic models ChatGPT's effectiveness falls drastically.
Discussion: While the integration of ChatGPT holds potential across various fields, it is crucial to approach its use with caution, particularly in relying on its responses for critical decisions in food and bio-medicine.
Keywords: ChatGPT, food data, named-entity recognition, named-entity linking
Published in DiRROS: 16.09.2024; Views: 292; Downloads: 121
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637. Unutarnja okolina renoviranih ureda opremljenih stropnim isijavajućim pločamaSabina Jordan, Jože Hafner, Tilmann E. Kuhn, Andraž Legat, Martina Zbašnik-Senegačnik, 2016, original scientific article Abstract: U radu se ocjenjuje unutarnja okolina renoviranih ureda koji su, kao pokusni primjer,opremljeni naprednim stropnim isijavajućim pločama koje se primjenjuju za grijanje i hlađenje. Obavljene su opsežne analize na bazi raznih nizova stvarnih mjerenja kako bi se ocijenila djelotvornost i prikladnost predložene koncepcije za adaptiranje prostora. Ustanovljeno je da čitav sustav za temperiranje uredskih prostora funkcionira na prikladan način, te da raspon unutarnjih temperatura zraka omogućava postizanje najviše razine udobnosti.
Published in DiRROS: 16.09.2024; Views: 250; Downloads: 154
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638. Generalization ability of feature-based performance prediction models : a statistical analysis across benchmarksAna Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov, 2024, published scientific conference contribution Abstract: This study examines the generalization ability of algorithm performance prediction models across various bench-mark suites. Comparing the statistical similarity between the problem collections with the accuracy of performance prediction models that are based on exploratory landscape analysis features, we observe that there is a positive correlation between these two measures. Specifically, when the high-dimensional feature value distributions between training and testing suites lack statistical significance, the model tends to generalize well, in the sense that the testing errors are in the same range as the training errors. Two experiments validate these findings: one involving the standard benchmark suites, the BBOB and CEC collections, and another using five collections of affine combinations of BBOB problem instances.
Keywords: meta-learning, single-objective optimization, module importance
Published in DiRROS: 16.09.2024; Views: 314; Downloads: 126
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