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282. Stakeholder analysis as tool for organisational learning in social servicesNataša Rupčić, Matej Babšek, 2024, izvirni znanstveni članek Ključne besede: stakeholder analysis, social capital, organisational learning, public sector, social services, Slovenia
Celotno besedilo (datoteka, 950,77 KB) Gradivo ima več datotek! Več... |
283. Improving the simulations of the hydrological model in the karst catchment by integrating the conceptual model with machine learning modelsCenk Sezen, Mojca Šraj, 2024, izvirni znanstveni članek Ključne besede: conceptual model, hybrid modelling, machine learning, karst catchment, Ljubljanica River, snow
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285. Inquiry-based chemistry education activities in a non-formal educational setting for gifted studentsMiha Slapničar, Luka Ribič, Iztok Devetak, Luka Vinko, 2024, izvirni znanstveni članek Ključne besede: non-formal education, gifted students, inquiry-based learning, interest, motivation
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287. Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction modelsLara Dular, Franjo Pernuš, Žiga Špiclin, 2024, izvirni znanstveni članek Ključne besede: magnetic resonance imaging, brain age prediction, image preprocessing, deep model regression, comparative study, quantitative evaluation, brain age, MRI preprocessing, deep regression models, linear mixed effect models, dataset bias, transfer learning, reproducible research, UK Biobank
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288. Blended learning in the engineering fieldRoberto Sala, Antonio Maffei, Fabiana Pirola, Fredrik Enoksson, Sandi Ljubić, Arian Skoki, Joseph P. Zammit, Amberlynn Bonello, Primož Podržaj, Tena Žužek, 2024, pregledni znanstveni članek Ključne besede: blended learning, Bloom's taxonomy, constructive alignment, COVID‐19, engineering
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289. Parents’ views on quality programmes for children and the risks and benefits they bring to preschool children’s development and learningSara Seršen, Martina Peštaj, Urška Fekonja, 2024, izvirni znanstveni članek Ključne besede: media programme, preschool children, parental mediation, content quality, screen exposure, early childhood development, learning, parents, Questionnaire about the child’s screen habits, Maternal quality standards for children’s television programmes questionnaire, Television mediation scale
Celotno besedilo (datoteka, 478,61 KB) Gradivo ima več datotek! Več... |
290. Search for Higgs boson pair production with the ATLAS detector at the LHCJakob Novak, 2024, doktorska disertacija Ključne besede: ATLAS, machine learning, Higgs pair production, single-lepton, CERN, neural networks, Higgs self-interaction, two b-jets, LHC Run 2, classification problem, BSM scalar resonance, missing transverse momentum
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