1. Expressing added value in food supply chainsNejc Zidar, Jernej Turk, Jernej Prišenk, 2023, original scientific article Abstract: Value-added food supply chains are chains that maintain positive social, environmental, and community values which are integrated into the production process from the primary producer to the final consumer, ensuring economic, social, and environmental sustainability, thus forming a sustainable agricultural and food production system. The evaluation of the value added in each chain is based on indicators, which are a tool to measure changes in the actual situation or to show performance trends in achieving the progress set by the objectives. The presented indicators are based on publicly available statistics and foreign literature that allow measuring value added in specific livestock chains at aggregate level (beef production, pork production and dairy production) and are based on publicly available statistics in the Republic of Slovenia. The need to produce indicators of value added in livestock food supply chains arises from the large differences in structural changes in the sector itself and in the development and economic performance of the various livestock industries.
Keywords: food supply chain, value-added, indicators, sustainability, economic, social and environmental aspect
Published in DKUM: 23.04.2025; Views: 0; Downloads: 0
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2. An autonomous field robot Farmbeast - the field robot event 2023 editionGregor Popič, Urban Naveršnik, Jaša Jernej Rakun Kokalj, Erik Rihter, Jurij Rakun, 2024, original scientific article Abstract: In contemporary agricultural automation, the demand for highly adaptive autonomous systems is rapidly increasing. Addressing this need, we introduce the latest iteration of FarmBeast, an advanced autonomous robot designed for precise navigation and operation within the complex terrain of cornfields. This paper details the technical specifications and functionalities of FarmBeast, developed by a Slovenian student team from the University of Maribor for the international Field Robot Event (FRE) 2023. The enhanced version features significant hardware and software upgrades, including a completely new robotic platform, a multichannel LIDAR system, an Xsens IMU, and advanced algorithms for efficient row navigation and weed removal. These integrated technologies aim to improve the efficiency and reliability of agricultural processes, reflecting the broader trend towards digitization and precision farming. Participation in international competitions like FRE provides a valuable platform for students to apply interdisciplinary knowledge, fostering the development of practical skills and understanding the interconnectedness of various scientific disciplines. As highlighted in the results section, FarmBeast performed notably compared to other 14 robots, securing top-five finishes in navigation, plant treatment, and obstacle detection tasks, demonstrating its capabilities in dynamic agricultural settings.
Keywords: precision agriculture, robotics, sensors, algorithms
Published in DKUM: 23.04.2025; Views: 0; Downloads: 0
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4. Theoretical and experimental investigations of a water hammer in Sava river Kaplan turbine hydropower plantsAnton Bergant, Jernej Mazij, Jošt Pekolj, 2024, original scientific article Abstract: This paper deals with critical flow regimes that may induce an unacceptable water hammer in the Sava River Kaplan turbine hydropower plants. The rigid water hammer model is introduced first. The computational results are then compared with the results of measurements in two distinct hydropower plants (HPP): (i) The refurbished and upgraded Medvode HPP, and (ii) The newest Brežice HPP. Comparisons of the computed and measured results are examined for normal operating regimes. The water hammer in the two power plants is controlled by appropriate adjustment of the wicket gates and runner blades closing/opening manoeuvres. The agreement between the computed and measured results is reasonable.
Keywords: hydropower plant, Kaplan turbine, Sava River, water hammer, validation
Published in DKUM: 11.04.2025; Views: 0; Downloads: 4
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5. Fatigue behaviour of copper-brazed 316L stainless steelJernej Kralj, Blaž Hanželič, Srečko Glodež, Janez Kramberger, Roman Satošek, Branko Nečemer, 2024, original scientific article Abstract: The plate heat exchanger (PHE) is a component that provides heat to be transferred from hot water to domestic cold water with-out mixing them with high efficiency. Over the lifetime of the PHE, cyclic pressure acts on the brazing points and the plates, andthis can lead to fatigue failure. The fatigue behaviour of the PHE, designed by using copper-brazed 316L (also known as 1.4404) stainless steel, was investigated by performing fatigue tests to obtain the S-N curve of the analysed brazed joint. The fatigue tests were performed on a Vibrophore 100 testing machine under the load ratio R= 0.1 for different values of calculated ampli-tude stress. Based on the obtained experimental results, an appropriate material model of the analysed brazed joint was created, which was validated with a numerical calculation in the framework of a program code Ansys. A validated material model canthen be used for the subsequent numerical analysis of the PHE.
Keywords: plate heat exchanger, brazed joint, fatigue, experimental testing
Published in DKUM: 10.04.2025; Views: 0; Downloads: 4
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7. Diagnosis, clinical presentation and management of celiac disease in children and adolescents in PolandJoanna Bierła, Anna Szaflarska-Popławska, Urszula Grzybowska-Chlebowczyk, Beata Oralewska, Marta Cyba, Grzegorz Oracz, Ewa Konopka, Božena Cukrowska, Małgorzata Syczewska, Honorata Kołodziejczyk, Petra Rižnik, Jernej Dolinšek, 2024, original scientific article Abstract: Celiac disease (CD) is a chronic immune-mediated disorder triggered by the ingestion of gluten in genetically predisposed individuals, affecting about 1% of the general population in the developed world. In 2012, the European Society for Pediatric Gastroenterology, Hepatology, and Nutrition (ESPGHAN) recommendations for CD diagnoses in children and adolescents were introduced, allowing the “no-biopsy” approach if certain criteria were met. This approach was also confirmed in the revised guidelines published in 2020. Thus, the aim of this study was to assess—over a one-year period—the clinical presentations and current status of the management of children and adolescents diagnosed with CD in Poland. Medical records of children and adolescents, newly diagnosed with CD in 2022/2023 in three medical centers in Poland, were involved. Gastroenterologists completed the specific anonymous web-based forms developed in the CD SKILLS project, including data routinely assessed at individual visits about the diagnostic approach and clinical presentation of the disease. Our study assessed 100 patients (56% girls) with an age range 1.6–18.0 years. We found that 98% of patients were serologically tested prior to a CD diagnosis and 58% of patients were diagnosed using the “no-biopsy” approach. In the analyzed group, 40% belonged to a known risk group, only 22% had annual screening before the CD diagnosis (the longest for 9 years), and 19% showed no symptoms at the time of the CD diagnosis. Our research confirmed the applicability of the “no-biopsy” approach for the diagnosis of CD in children and adolescents in Poland, and also showed changes in the clinical picture of CD. Moreover, we highlight the need to introduce broad CD serological screening in risk groups of the Polish population.
Keywords: celiac disease, no-biopsy, risk groups, Polish population
Published in DKUM: 04.04.2025; Views: 0; Downloads: 1
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8. Planiranje politike podjetja in strateškega razvoja na primeru podjetja Lesdom d.o.o.Gašper Žižek, 2025, master's thesis Abstract: V današnjem poslovnem okolju so podjetja nenehno soočena s hitrimi in z nepredvidljivimi spremembami, ki jih morajo hitro zaznati in se nanje učinkovito odzvati. Prilagajanje tem spremembam je ključnega pomena za ohranjanje konkurenčne prednosti in dolgoročne rasti. Da bi ostala konkurenčna, morajo podjetja ne le reagirati na spremembe, temveč tudi proaktivno iskati priložnosti za rast in razvoj. S stalnim spremljanjem tržnega okolja, inovacijami ter prilagajanjem strategij lahko podjetja izkoristijo spremembe v svojo korist, prepoznajo nove trende in potrebe na trgu ter jih pretvorijo v uspešne poslovne strategije. Tako se podjetja, ki uspešno izkoriščajo spremembe in nenehno iščejo možnosti za rast, bolje pozicionirajo za dolgoročni uspeh na vedno bolj dinamičnem trgu.
Magistrsko delo z naslovom "Planiranje politike podjetja in strateškega razvoja na primeru podjetja Lesdom d.o.o." obravnava nujnost nenehnega prilagajanja strategij zaradi stalnih sprememb na trgu. Delo poudarja pomen proaktivnega spremljanja tržnega okolja in učinkovitega odzivanja na te spremembe. Raziskujemo teoretične osnove strateškega managementa in politike podjetja ter njihovo aplikacijo v praksi na primeru podjetja Lesdom d.o.o., pri čemer posvečamo posebno pozornost viziji, poslanstvu, ciljem in strategijam podjetja.
Magistrsko delo je sestavljeno iz dveh delov, in sicer iz teoretičnega in empiričnega. V teoretičnem delu bomo preučili postopek in elemente, ki jih potrebujemo v postopku planiranaja politike podjetja v MER modelu integralnega managementa, prav tako bomo spoznali planiranje razvoja podjetja na ravni strateškega managementa in s tem povezane procese in metode planiranja razvoja na ravni strateškega managementa.
V empiričnem delu bomo spoznali in proučili družinsko podjetje Lesdom d.o.o. in njegovo možnost razvoja. Za podjetje bomo podali predloge glede politike podjetja ter predstavili predlog razvoja podjetja.
Keywords: politika podjetja, strateški management, družinsko podjetje, zunanji in notranji dejavniki, okolje podjetja, družinsko podjetje, Lesdom d.o.o.
Published in DKUM: 02.04.2025; Views: 0; Downloads: 10
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9. Using a region-based convolutional neural network (R-CNN) for potato segmentation in a sorting processJaka Verk, Jernej Hernavs, Simon Klančnik, 2025, original scientific article Abstract: This study focuses on the segmentation part in the development of a potato-sorting system that utilizes camera input for the segmentation and classification of potatoes. The key challenge addressed is the need for efficient segmentation to allow the sorter to handle a higher volume of potatoes simultaneously. To achieve this, the study employs a region-based convolutional neural network (R-CNN) approach for the segmentation task, while trying to achieve more precise segmentation than with classic CNN-based object detectors. Specifically, Mask R-CNN is implemented and evaluated based on its performance with different parameters in order to achieve the best segmentation results. The implementation and methodologies used are thoroughly detailed in this work. The findings reveal that Mask R-CNN models can be utilized in the production process of potato sorting and can improve the process.
Keywords: image segmentation, potato sorting, neural network, mask RCNN, object detection, production process, machine learning, AI
Published in DKUM: 27.03.2025; Views: 0; Downloads: 9
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10. Vpliv nefinančnega poročanja na trajnostno korporativno upravljanjeMatic Čufar, 2024, doctoral dissertation Abstract: V preteklih letih so se pojavili številni dogodki (kot so finančne krize, neodgovorno korporativno upravljanje itd.), ki so negativno vplivali na gospodarske družbe, gospodarstvo in s tem tudi na deležnike in širšo družbo. S strani ključnih deležnikov gospodarskih družb se je tako začela pojavljati vedno večja potreba po celovitosti poročanih informacij s strani gospodarskih družb in po večji transparentnosti. Z vpeljavo Evropske direktive 2014/95/EU (v nadaljevanju NFRD) je bila na evropski ravni vpeljana zahteva za poročanje nefinančnih podatkov za določene skupine gospodarskih družb. Z objavo tovrstnih informacij naj bi gospodarske družbe njihovim deležnikom in širši javnosti prikazale celovitejšo plat svojega poslovanja, ki se ne navezuje primarno na finančno stanje in pridobivanje dobička, temveč tudi na vlogo prilagajanja poslovanja gospodarske družbe v smeri ohranjanja naravnega in družbenega okolja. S tem bi se širši javnosti prikazala dodatna področja poslovanja in upravljanja gospodarskih družb, ki bi pripomogla k večjemu zavzemanju gospodarskih družb za doseganje ciljev, ki so vsebinsko naravnani k trajnostnemu in družbeno odgovornemu razvoju. Glavni poudarek doktorske disertacije se nanaša na raziskavo vpliva zakonodaje nefinančnega poročanja na kakovost poročanih nefinančnih informacij (raziskovalni konstrukt 1) in na vpliv zakonodaje nefinančnega poročanja na trajnostno korporativno upravljanje (raziskovalni konstrukt 2). Tovrstni vpliv je v raziskavi doktorske disertacije proučevan na podlagi lastnega raziskovalnega modela, ki je bil vzpostavljen na temelju zahtev NFRD, CSRD, standardov ESRS in MER-modela integralnega managementa in upravljanja. Doktorska disertacija je razdeljena na teoretični in empirični del. Prvo poglavje doktorske disertacije predstavlja uvodno poglavje, ki vsebuje opredelitev problema raziskave, raziskovalno tezo, cilje raziskave, raziskovalna vprašanja, kot tudi predpostavke in omejitve raziskave ter opis raziskovalnih metod. Drugo in tretje poglavje doktorske disertacije se nanašata na opis teoretične podlage, zgodovinskega razvoja in zakonodaje na področju korporativnega upravljanja in družbeno odgovornega ter trajnostnega korporativnega upravljanja. Četrto poglavje doktorske disertacije vsebuje opis celovitega in trajnostnega upravljanja gospodarskih družb na podlagi MER-modela integralnega managementa in upravljanja. V petem poglavju so opisani pravni viri na področju družbeno odgovornega in trajnostnega korporativnega upravljanja v EU in medsebojna primerjava pravnih okvirjev izbranih držav (Slovenije, Nemčije in Francije), ki so vključene v empirični del raziskave doktorske disertacije. Ugotovitve, pridobljene v drugem, tretjem, četrtem in petem poglavju, so bile uporabljene za pripravo lastnega raziskovalnega modela, ki je
opisan v šestem poglavju doktorske disertacije. Lasten raziskovalni model za ovrednotenje nefinančnih informacij je bil uporabljen za izvedbo empirične raziskave. Empirična raziskava, ki je predstavljena v sedmem poglavju, je bila izvedena na podlagi kvalitativne metode pluralne razlagalne študije primera. Za analizo podatkov je bila v raziskavi študije primera uporabljena kvalitativna metoda analize vsebine v povezavi z metodo primerjalne analize. V raziskavo je bilo vključenih 30 gospodarskih družb iz Slovenije, Nemčije in Francije (10 gospodarskih družb iz vsake države). Raziskava je bila izvedena na podlagi javno objavljenih letnih poročil in trajnostnih poročil, objavljenih za leti 2017 in 2021. Predstavljenim rezultatom empiričnega dela raziskave sledi opis implikacij rezultatov raziskave za gospodarske družbe in širšo družbo v osmem poglavju ter sklep s ključnimi ugotovitvami raziskave.
Keywords: nefinančno poročanje, korporativno upravljanje, MER-model integralnega managementa in upravljanja, družbeno odgovorno korporativno upravljanje, trajnostno korporativno upravljanje
Published in DKUM: 11.03.2025; Views: 0; Downloads: 38
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