1. Thermogravimetric, kinetic and thermodynamic behaviour of raw and hydrothermally pretreated oil cakes during pyrolysis and TG-FTIR analysis of the gaseous productsAleksandra Petrovič, Sabina Vohl, Sven Gruber, Klemen Rola, Tjaša Cenčič, Lidija Čuček, Danijela Urbancl, 2025, original scientific article Abstract: The pyrolysis of raw and hydrothermally (HTC) pretreated pumpkin (PC) and hemp (HC) oilseed cakes was investigated for the first time using thermogravimetric, kinetic and thermodynamic analyses. The influence of the HTC pretreatment and the type of reaction liquid (whey or water) on the pyrolysis was investigated and the pyrolysis gases were analysed. The HTC pretreatment increases the biochar yield with values of up to 44 wt.% compared to raw oil cakes (∼27 wt.%). The HTC pretreatment with whey resulted in a higher energy and biochar yield and better biochar properties than the pretreatment with water. The tested oil cakes provided comparable energy yields, although HC provided higher biochar yields, while PC biochar showed higher hydrophobicity. The kinetic modelling shows that the activation energies () for the pyrolysis of the raw oil cakes varied between 93.6 and 529.9 kJ/mol for PC and between 71.3 and 669.9 kJ/mol for the HC sample. HTC pretreatment in water media increased the values, while the use of whey led to a decrease in the values. TG-FTIR analysis of the emitted gases showed that the HTC treatment affected the release of CO2 and hydrocarbons as well as the pyrolysis mechanism and reaction pathways
Keywords: oilseed cake, hydrochar, pyrolysis, thermogravimetric analysis, kinetic analysis, gas emissions
Published in DKUM: 25.04.2025; Views: 0; Downloads: 2
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2. Investment plan and evaluation of the transition of a farm to a wellness tourist farmTatjana Klakočar, Karmen Pažek, Lazar Pavić, 2023, original scientific article Abstract: This study aimed to develop a commercial concept for transforming farms into wellness tourist destinations. The proposed scenario involved the renovation of a hayrack into a highend tourist accommodation, comprising relaxation rooms with panoramic glass walls and the renovation of the barns, as well as an outdoor swimming pond. The research methods included
description, compilation, and synthesis to explore the legislation in Slovenia related to investment performance and trends in wellness tourism to support the realisation of the proposed investment. Furthermore, the study used the method of financial estimation of investment using cost-benefit analysis to facilitate the transition. Four datasets were used for the estimation: investment income, investment costs, end value of the investment, and annual interest rate. The estimated investment cost was €530,000 and the total estimated revenue was €192,720, with total costs amounting to 50% of the total income, as well as an annual cash flow of €96,360, which was used in the assessment of the investment return period. According to the findings, the investment return period is 15 years with the lowest annual cash flow and interest rate of 3.5%. However, caution is advised due to uncertainties in the long-term costs of raw materials and energy.
Keywords: tourist farm, wellness, cost-benefit analysis
Published in DKUM: 23.04.2025; Views: 0; Downloads: 0
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4. EEG-based finger movement classification with intrinsic time-scale decompositionMurside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Yalcin Isler, 2024, original scientific article Keywords: brain-computer interfaces, electroencephalogram, feature reduction, machine learning, finger movements classification, time series analysis
Published in DKUM: 16.04.2025; Views: 0; Downloads: 0
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5. Optimizing digital image quality for improved skin cancer detectionBogdan Dugonik, Marjan Golob, Marko Marhl, Aleksandra Vučinič Dugonik, 2025, original scientific article Abstract: The rising incidence of skin cancer, particularly melanoma, underscores the need for improved diagnostic tools in dermatology. Accurate imaging plays a crucial role in early detection, yet challenges related to color accuracy, image distortion, and resolution persist, leading to diagnostic errors. This study addresses these issues by evaluating color reproduction accuracy across various imaging devices and lighting conditions. Using a ColorChecker test chart, color deviations were measured through Euclidean distances (∆E*, ∆C*), and nonlinear color differences (∆E00, ∆C00), while the color rendering index (CRI) and television lighting consistency index (TLCI) were used to evaluate the influence of light sources on image accuracy. Significant color discrepancies were identified among mobile phones, DSLRs, and mirrorless cameras, with inadequate dermatoscope lighting systems contributing to further inaccuracies. We demonstrate practical applications, including manual camera adjustments, grayscale reference cards, post-processing techniques, and optimized lighting conditions, to improve color accuracy. This study provides applicable solutions for enhancing color accuracy in dermatological imaging, emphasizing the need for standardized calibration techniques and imaging protocols to improve diagnostic reliability, support AI-assisted skin cancer detection, and contribute to high-quality image databases for clinical and automated analysis.
Keywords: dermoscopy, melanoma, color analysis, color error, spectral power distribution, grey card, digital imaging standards
Published in DKUM: 08.04.2025; Views: 0; Downloads: 2
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6. Parkinson’s disease non-motor subtypes classification in a group of Slovenian patients : actuarial vs. data-driven approachTimotej Petrijan, Jan Zmazek, Marija Menih, 2023, original scientific article Abstract: Background and purpose: The aim of this study was to examine the risk factors, prodromal symptoms, non-motor symptoms (NMS), and motor symptoms (MS) in different Parkinson’s disease (PD) non-motor subtypes, classified using newly established criteria and a data-driven approach.
Methods: A total of 168 patients with idiopathic PD underwent comprehensive NMS and MS examinations. NMS were assessed by the Non-Motor Symptom Scale (NMSS), Montreal Cognitive Assessment (MoCA), Hamilton Depression Scale (HAM-D), Hamilton Anxiety Rating Scale (HAM-A), REM Sleep Behavior Disorder Screening Questionnaire (RBDSQ), Epworth Sleepiness Scale (ESS), Starkstein Apathy Scale (SAS) and Fatigue Severity Scale (FSS). Motor subtypes were classified based on Stebbins’ method. Patients were classified into groups of three NMS subtypes (cortical, limbic, and brainstem) based on the newly designed inclusion criteria. Further, data-driven clustering was performed as an alternative, statistical learning-based classification approach. The two classification approaches were compared for consistency.
Results: We identified 38 (22.6%) patients with the cortical subtype, 48 (28.6%) with the limbic, and 82 (48.8%) patients with the brainstem NMS PD subtype. Using a data-driven approach, we identified five different clusters. Three corresponded to the cortical, limbic, and brainstem subtypes, while the two additional clusters may have represented patients with early and advanced PD. Pearson chi-square test of independence revealed that a priori classification and cluster membership were significantly related to one another with a large effect size (χ2(8) = 175.001, p < 0.001, Cramer’s V = 0.722). The demographic and clinical profiles differed between NMS subtypes and clusters.
Conclusion: Using the actuarial and clustering approach, marked differences between individual NMS subtypes were found. The newly established criteria have potential as a simplified tool for future clinical research of NMS subtypes of Parkinson’s disease.
Keywords: Parkinson’s disease, non-motor symptoms subtypes, a priori classification, cluster analysis
Published in DKUM: 07.04.2025; Views: 0; Downloads: 2
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7. Integrating live cell calcium imaging and tissue damage assessment in a novel model of acute pancreatitisPolona Kovačič, Maša Skelin, Eva Paradiž, Viktória Venglovecz, Loránd Kiss, Gabriella Mihalekné Fűr, Andraž Stožer, Jurij Dolenšek, 2025, published scientific conference contribution abstract Keywords: acute pancreatitis, calcium imaging, LiveDead assay, pancreatic tissue slices, histological analysis
Published in DKUM: 31.03.2025; Views: 0; Downloads: 13
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8. STALITA: innovative platform for bank transactions analysisDavid Jesenko, Štefan Kohek, Borut Žalik, Matej Brumen, Domen Kavran, Niko Lukač, Andrej Živec, Aleksander Pur, 2022, original scientific article Abstract: Acts of fraud have become much more prevalent in the financial industry with the rise
of technology and the continued economic growth in modern society. Fraudsters are evolving
their approaches continuously to exploit the vulnerabilities of the current prevention measures
in place, many of whom are targeting the financial sector. To overcome and investigate financial
frauds, this paper presents STALITA, which is an innovative platform for the analysis of bank
transactions. STALITA enables graph-based data analysis using a powerful Neo4j graph database
and the Cypher query language. Additionally, a diversity of other supporting tools, such as support
for heterogeneous data sources, force-based graph visualisation, pivot tables, and time charts, enable
in-depth investigation of the available data. In the Results section, we present the usability of the
platform through real-world case scenarios.
Keywords: Neo4j, platform, bank transactions, graph analysis, graph visualisation, fraud, investigation
Published in DKUM: 27.03.2025; Views: 0; Downloads: 2
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9. Analysis of synchronous generators’ local mode eigenvalues in modern power systemsJožef Ritonja, Boštjan Polajžer, 2022, original scientific article Abstract: New energy sources, storage facilities, power electronics devices, advanced and complex
control concepts, economic operating doctrines, and cost-optimized construction and production of
machines and equipment in power systems adversely affect small-signal stability associated with local
oscillations. The objective of the article is to analyze local oscillations and the causes that affect them in
order to reduce their negative impact. There are no recognized analyses of the oscillations of modern
operating synchronous generators exposed to new conditions in power systems. The basic idea is to
perform a numerical analysis of local oscillations of a large number of synchronous generators in
the power system. The paper represents the local mode data obtained from a systematic analysis of
synchronous generators in the Slovenian power system. Analyzed were 74 synchronous generators
of the Slovenian power system, plus many additional synchronous generators for which data were
accessible in references. The mathematical models convenient for the study of local oscillations
are described first in the paper. Next, the influences of transmission lines, size of the synchronous
generators, operating conditions, and control systems were investigated. The paper’s merit is the
applicable rules that have been defined to help power plant operators avoid stability-problematic
situations. Consequently, boundaries were estimated of the eigenvalues of local modes. Finally,
experiments were performed with a laboratory-size synchronous generator to assess the regularity of
the numerically obtained conclusions. The obtained results enable the prediction of local oscillations’
frequencies and dampings and will be useful in PSS planning.
Keywords: power system, synchronous generators, oscillations, local modes, eigenvalue analysis
Published in DKUM: 27.03.2025; Views: 0; Downloads: 8
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10. Public handling of protective masks from use to disposal and recycling options to new productsKatarina Remic, Alen Erjavec, Julija Volmajer Valh, Sonja Šterman, 2022, original scientific article Abstract: A study was conducted on the waste of disposable surgical masks and their problematic impact on the environment. The studies examined have shown the negative effects on the environment that are likely to occur and those that have already occurred. In this article, society's relationship to the potential recycling of disposable surgical masks is considered and projected onto the possibilities of the cradle-to-cradle design approach. The development of a product from recycled surgical masks is driven by two different surveys. The first focuses on wear and disposal habits, and the second on the relationship to recycling. As a result, the flooring was developed with thermally treated recycled surgical masks replacing the filler layer. The goal of the product design was to improve the long-term life cycle analysis of a waste surgical mask.
Keywords: maske, medicinski odpadki, okolje, recikliranje izdelka z dodano vrednostjo, analiza življenjskega cikla, masks, medical waste, recycling added-value product, life-cycle-analysis
Published in DKUM: 26.03.2025; Views: 0; Downloads: 1
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