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Iskalni niz: "vrsta gradiva" (1) AND "polno besedilo" AND "organizacija" (Institut Jožef Stefan) .

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31.
Advanced method for efficient functionalization of polymers by intermediate free-radical formation with vacuum-ultraviolet radiation and producing superhydrophilic surfaces
Alenka Vesel, Rok Zaplotnik, Miran Mozetič, Nina Recek, 2023, izvirni znanstveni članek

Povzetek: An efficient approach for tailoring surface properties of polymers is presented, which enables rapid modification leading to superhydrophilic properties. The approach is based on vacuum-ultraviolet radiation (VUV) pretreatment of the surface to create reactive dangling bonds. This step is followed by a second treatment using neutral oxygen atoms that react with the dangling bonds and form functional groups. The beneficial effect of VUV pretreatment for enhanced functionalization was clearly demonstrated by comparing VUV pretreatment in plasmas created in different gases, i.e., hydrogen, nitrogen, and oxygen, which differ in the intensity of VUV/UV radiation. The emission intensity of VUV radiation for all gases was measured by vacuum ultraviolet spectroscopy. It was shown that VUV has a strong influence on the treatment time and final surface wettability. A superhydrophilic surface was obtained only if using VUV pretreatment. Furthermore, the treatment time was significantly reduced to only a second of treatment. These findings show that such an approach may be used to enhance the surface reaction efficiency for further grafting of chemical groups.
Ključne besede: plasma treatment, vacuum-ultraviolet radiation treatment, surface functionalization, polymer polyvinyl chloride, vacuum-ultraviolet spectroscopy, vacuum-ultraviolet photons
Objavljeno v DiRROS: 06.06.2023; Ogledov: 370; Prenosov: 185
.pdf Celotno besedilo (4,42 MB)
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32.
IoT electrochemical sensor with integrated ▫$Ni(OH)_2–Ni$▫ nanowires for detecting formaldehyde in tap water
Špela Trafela, Abhilash Krishnamurthy, Kristina Žagar, Urška Kavčič, Igor Karlovits, Beno Klopčič, Sašo Šturm, Kristina Žužek Rožman, 2023, izvirni znanstveni članek

Povzetek: Simple, low-cost methods for sensing volatile organic compounds that leave no trace and do not have a detrimental effect on the environment are able to protect communities from the impacts of contaminants in water supplies. This paper reports the development of a portable, autonomous, Internet of Things (IoT) electrochemical sensor for detecting formaldehyde in tap water. The sensor is assembled from electronics, i.e., a custom-designed sensor platform and developed HCHO detection system based on Ni(OH)2–Ni nanowires (NWs) and synthetic-paper-based, screen-printed electrodes (pSPEs). The sensor platform, consisting of the IoT technology, a Wi-Fi communication system, and a miniaturized potentiostat can be easily connected to the Ni(OH)2–Ni NWs and pSPEs via a three-terminal electrode. The custom-made sensor, which has a detection capability of 0.8 µM/24 ppb, was tested for an amperometric determination of the HCHO in deionized (DI) and tap-water-based alkaline electrolytes. This promising concept of an electrochemical IoT sensor that is easy to operate, rapid, and affordable (it is considerably cheaper than any lab-grade potentiostat) could lead to the straightforward detection of HCHO in tap water.
Ključne besede: formaldehyde, electrochemical sensor, nickel, tap water
Objavljeno v DiRROS: 06.06.2023; Ogledov: 364; Prenosov: 151
.pdf Celotno besedilo (2,65 MB)
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33.
FooDis : a food-disease relation mining pipeline
Gjorgjina Cenikj, Tome Eftimov, Barbara Koroušić-Seljak, 2023, izvirni znanstveni članek

Povzetek: Nowadays, it is really important and crucial to follow the new biomedical knowledge that is presented in scientific literature. To this end, Information Extraction pipelines can help to automatically extract meaningful relations from textual data that further require additional checks by domain experts. In the last two decades, a lot of work has been performed for extracting relations between phenotype and health concepts, however, the relations with food entities which are one of the most important environmental concepts have never been explored. In this study, we propose FooDis, a novel Information Extraction pipeline that employs state-of-the-art approaches in Natural Language Processing to mine abstracts of biomedical scientific papers and automatically suggests potential cause or treat relations between food and disease entities in different existing semantic resources. A comparison with already known relations indicates that the relations predicted by our pipeline match for 90% of the food-disease pairs that are common in our results and the NutriChem database, and 93% of the common pairs in the DietRx platform. The comparison also shows that the FooDis pipeline can suggest relations with high precision. The FooDis pipeline can be further used to dynamically discover new relations between food and diseases that should be checked by domain experts and further used to populate some of the existing resources used by NutriChem and DietRx.
Ključne besede: text mining, relation extraction, named entity recognition, named entity linking, food-disease relations
Objavljeno v DiRROS: 25.05.2023; Ogledov: 347; Prenosov: 164
.pdf Celotno besedilo (1,11 MB)
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34.
Evaluation of parallel hierarchical differential evolution for min-max optimization problems using SciPy
Margarita Antoniou, Gregor Papa, 2022, objavljeni znanstveni prispevek na konferenci

Ključne besede: min-max optimization, parallelization, differential evolution, SciPy
Objavljeno v DiRROS: 19.05.2023; Ogledov: 263; Prenosov: 144
.pdf Celotno besedilo (1,39 MB)
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35.
Optimisation techniques under uncertainty
Margarita Antoniou, Thomas Krak, Alexander Erreygers, Jasper De Bock, Gert De Cooman, 2019, objavljeni povzetek znanstvenega prispevka na konferenci

Ključne besede: Markov chains, evolutionary algorithms, limit expectations
Objavljeno v DiRROS: 18.05.2023; Ogledov: 263; Prenosov: 69
.pdf Celotno besedilo (555,72 KB)

36.
From language models to large-scale food and biomedical knowledge graphs
Gjorgjina Cenikj, Lidija Strojnik, Risto Angelski, Nives Ogrinc, Barbara Koroušić-Seljak, Tome Eftimov, 2023, izvirni znanstveni članek

Povzetek: Knowledge about the interactions between dietary and biomedical factors is scattered throughout uncountable research articles in an unstructured form (e.g., text, images, etc.) and requires automatic structuring so that it can be provided to medical professionals in a suitable format. Various biomedical knowledge graphs exist, however, they require further extension with relations between food and biomedical entities. In this study, we evaluate the performance of three state-of-the-art relation-mining pipelines (FooDis, FoodChem and ChemDis) which extract relations between food, chemical and disease entities from textual data. We perform two case studies, where relations were automatically extracted by the pipelines and validated by domain experts. The results show that the pipelines can extract relations with an average precision around 70%, making new discoveries available to domain experts with reduced human effort, since the domain experts should only evaluate the results, instead of finding, and reading all new scientific papers.
Ključne besede: biomedical knowledge graphs, relation-mining pipelines, relation extraction, validation
Objavljeno v DiRROS: 17.05.2023; Ogledov: 374; Prenosov: 151
.pdf Celotno besedilo (2,39 MB)
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37.
The association between day-to-day stress experiences, recovery, and work engagement among office workers in academia : an Ecological Momentary Assessment study
Larissa Bolliger, Ellen Baele, Elena Colman, Gillian Debra, Junoš Lukan, Mitja Luštrek, Dirk De Bacquer, Els Clays, 2023, izvirni znanstveni članek

Povzetek: Objectives. This study aimed to investigate the associations between day-to-day work-related stress exposures (i.e., job demands and lack of job control), job strain, and next-day work engagement among office workers in academic settings. Additionally, we assessed the influence of psychological detachment and relaxation on next-day work engagement and tested for interaction effects of these recovery variables on the relationship between work-related stressors and next-day work engagement. Methods. Office workers from two academic settings in Belgium and Slovenia were recruited. This study is based on an Ecological Momentary Assessment (EMA) with a 15-working day data collection period using our self-developed STRAW smartphone application. Participants were asked repeatedly about their work-related stressors, work engagement, and recovery experiences. Fixed-effect model testing using random intercepts was applied to investigate within- and between-participant levels. Results. Our sample consisted of 55 participants and 2710 item measurements were analysed. A significant positive association was found between job control and next-day work engagement (β = 0.28, p < 0.001). Further, a significant negative association was found between job strain and next-day work engagement (β = −0.32, p = 0.05). Furthermore, relaxation was negatively associated with work engagement (β = −0.08, p = 0.03). Conclusions. This study confirmed previous results, such as higher job control being associated with higher work engagement and higher job strain predicting lower work engagement. An interesting result was the association of higher relaxation after the working day with a lower next-day work engagement. Further research investigating fluctuations in work-related stressors, work engagement, and recovery experiences is required.
Ključne besede: work-related stress, stress exposure, work engagement, office workers, academia
Objavljeno v DiRROS: 04.05.2023; Ogledov: 334; Prenosov: 152
.pdf Celotno besedilo (734,96 KB)
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38.
Influence of the calcination duration of ▫$g-C_3N_4/TiO_2$▫ veggie-toast-like photocatalyst on the visible-light triggered photocatalytic oxidation of bisphenol A
Matevž Roškarič, Gregor Žerjav, Matjaž Finšgar, Janez Zavašnik, Albin Pintar, 2023, izvirni znanstveni članek

Povzetek: Two commercially available TiO2 (hexagonal-like and spherical-like particles) were used to investigate the effect of g-C3N4 “melting” on the photocatalytic properties of g-C3N4/TiO2 composites. Improvement in the contact between the components was observed when they were thermally treated at 350 °C for an extended period of time (between 2 and 72 h) due to the partial melting and phase fusion of g-C3N4. Consequently, the enhanced contact between the phases allows easier injection of photogenerated electrons from the conduction band of g-C3N4 into TiO2, improving charge carrier separation. The prepared composites were tested for bisphenol A degradation under visible-light illumination, which showed that the components that had been calcined for 24 h performed better due to the improved charge carrier separation. Superoxide anionic radicals and photogenerated holes were identified as active species in the photooxidation experiments conducted under visible-light illumination.
Ključne besede: titanium dioxide, photocatalyst, calcination time, photocatalysis under visible-light illumination, water remediation, bisphenol A
Objavljeno v DiRROS: 17.03.2023; Ogledov: 529; Prenosov: 255
.pdf Celotno besedilo (3,13 MB)
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39.
40.
SciFoodNER : food named entity recognition for scientific text
Gjorgjina Cenikj, Gašper Petelin, Barbara Koroušić-Seljak, Tome Eftimov, 2022, objavljeni znanstveni prispevek na konferenci

Ključne besede: food, named entity recognition, named entity linking, information extraction
Objavljeno v DiRROS: 09.03.2023; Ogledov: 460; Prenosov: 232
.pdf Celotno besedilo (551,39 KB)
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