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1.
Validation of a Slovenian version of the healthy lifestyle and personal control questionnaire (HLPCQ) for use with patients in family medicine
Adrijana Svenšek, Gregor Štiglic, Mateja Lorber, 2025, original scientific article

Abstract: Background Chronic non-communicable diseases are the world’s leading cause of death and disability. The emerging field of lifestyle medicine requires equipping healthcare professionals with instruments, knowledge, skills and competencies. Measuring an individual’s lifestyle with a valid and reliable instrument is the first step in promoting it. The aim of the study was to validate the Slovenian adaptation of the Healthy Lifestyle and Personal Control Questionnaire (HLPCQ). Methods A cross-sectional study was conducted among 666 questionnaire participants, and they were adult participants (aged 18 and above) from family medicine practices with cardiovascular diseases (CVDs) risk factors (e.g., hypertension, high cholesterol) but without a diagnosis of acute CVDs. The questionnaire included demographic data and anthropological measures and a translated English HLPCQ questionnaire. The instrument was translated using the forward-backwards translation method. The study was conducted in accordance with the principles of the World Medical Association Declaration of Helsinki. In addition to assessing the construct validity of the questionnaire, exploratory and confirmatory factor analyses were used to determine content and face validity, and internal consistency reliability. Results The mean age of male participants was 41.34 (± 13.220) years, the mean age of female participants was 40.31 (± 11.905) years. The Cronbach’s alpha was 0.852, and all questionnaire subscales had positive correlations. Sampling adequacy was confirmed by the Kaiser-Meyer-Olkin (KMO) index (0.851), and Bartlett’s test of sphericity was significant (χ² = 4647.694, p < 0.001), indicating suitability for Principal Component Analysis (PCA). PCA revealed a fivefactor solution, accounting for 50.67% of the total variance. Conclusions The most influential factors for a healthy lifestyle were daily routine, healthy dietary choices, avoidance of harmful dietary habits, organized physical activity, and social and mental balance. The Slovenian version had high factor validity and reliability. It can be used in Slovenian Community Health Centre to assess an individual’s control over various lifestyle dimensions. The instrument also holds potential for use in public health initiatives, supporting early identification of lifestyle-related risk factors and promoting preventive care strategies in the primary care setting.
Keywords: lifestyle, health behaviour, validity, public health, questionnaire, HLPCQ
Published in DKUM: 16.05.2025; Views: 0; Downloads: 0
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2.
Optimizacija procesa razvoja programskih rešitev
Bor Bogožalec, 2025, master's thesis

Abstract: Magistrsko delo obravnava optimizacijo procesov razvoja programske opreme v Kontroli Zračnega Prometa Slovenije (KZPS) s poudarkom na izzivih, ki jih predstavljajo varnostno kritični sistemi v kontroli zračnega prometa. Ocenjuje integracijo metodologij Agile, zlasti SafeScrum in Kanban, za reševanje težav, kot so dolgi časovni okviri projektov, pomanjkanje medoddelčne preglednosti in neučinkovitost pri upravljanju poročil o težavah. Izvedena je bila primerjalna analiza testiranih orodij, vključno s fizičnimi tablami Kanban in sistemi za sledenje, ki temeljijo na MS Excelu, da bi ugotovili njihovo primernost za edinstvene operativne potrebe KZPS. Ugotovitve kažejo, da hibridna rešitev, ki združuje ta orodja, izboljša nadzor nad projektom, poenostavi razvrščanje nalog po prednosti in zagotavlja spoštovanje strogih varnostnih standardov, kot je ED-153.
Keywords: Varnostno kritični sistemi, letalstvo, agilne metodologije, MS Excel, SafeScrum.
Published in DKUM: 13.05.2025; Views: 0; Downloads: 4
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3.
A brief review on benchmarking for large language models evaluation in healthcare
Leona Cilar Budler, Hongyu Chen, Aokun Chen, Maxim Topaz, Wilson Tam, Jiang Bian, Gregor Štiglic, 2025, review article

Abstract: This paper reviews benchmarking methods for evaluating large language models (LLMs) in healthcare settings. It highlights the importance of rigorous benchmarking to ensure LLMs' safety, accuracy, and effectiveness in clinical applications. The review also discusses the challenges of developing standardized benchmarks and metrics tailored to healthcare-specific tasks such as medical text generation, disease diagnosis, and patient management. Ethical considerations, including privacy, data security, and bias, are also addressed, underscoring the need for multidisciplinary collaboration to establish robust benchmarking frameworks that facilitate LLMs' reliable and ethical use in healthcare. Evaluation of LLMs remains challenging due to the lack of standardized healthcare-specific benchmarks and comprehensive datasets. Key concerns include patient safety, data privacy, model bias, and better explainability, all of which impact the overall trustworthiness of LLMs in clinical settings.
Keywords: artificial intelligence, benchmarking, chatbots, healthcare, large language models, natural language processing
Published in DKUM: 12.05.2025; Views: 0; Downloads: 0
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4.
Improving personalized meal planning with large language models: identifying and decomposing compound ingredients
Leon Kopitar, Leon Bedrač, Larissa Jane Strath, Jiang Bian, Gregor Štiglic, 2025, original scientific article

Abstract: Background/Objectives: Identifying and decomposing compound ingredients within meal plans presents meal customization and nutritional analysis challenges. It is essential for accurately identifying and replacing problematic ingredients linked to allergies or intolerances and helping nutritional evaluation. Methods: This study explored the effectiveness of three large language models (LLMs)—GPT-4o, Llama-3 (70B), and Mixtral (8x7B), in decomposing compound ingredients into basic ingredients within meal plans. GPT-4o was used to generate 15 structured meal plans, each containing compound ingredients. Each LLM then identified and decomposed these compound items into basic ingredients. The decomposed ingredients were matched to entries in a subset of the USDA FoodData Central repository using API-based search and mapping techniques. Nutritional values were retrieved and aggregated to evaluate accuracy of decomposition. Performance was assessed through manual review by nutritionists and quantified using accuracy and F1-score. Statistical significance was tested using paired t-tests or Wilcoxon signed-rank tests based on normality. Results: Results showed that large models—both Llama-3 (70B) and GPT-4o—outperformed Mixtral (8x7B), achieving average F1-scores of 0.894 (95% CI: 0.84–0.95) and 0.842 (95% CI: 0.79–0.89), respectively, compared to an F1-score of 0.690 (95% CI: 0.62–0.76) from Mixtral (8x7B). Conclusions: The open-source Llama-3 (70B) model achieved the best performance, outperforming the commercial GPT-4o model, showing its superior ability to consistently break down compound ingredients into precise quantities within meal plans and illustrating its potential to enhance meal customization and nutritional analysis. These findings underscore the potential role of advanced LLMs in precision nutrition and their application in promoting healthier dietary practices tailored to individual preferences and needs.
Keywords: artificial intelligence, food analysis, LLM, Ilama, GPT, mixtral, ingredient identification, ingredient decomposition, personalized nutrition, meal customization, nutritional analysis, dietary planning
Published in DKUM: 08.05.2025; Views: 0; Downloads: 1
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5.
Primerjalna analiza funkcionalnosti in zmogljivosti orodij za rudarjenje procesov : magistrsko delo
Tilen Tratnjek, 2025, master's thesis

Abstract: Zaključno delo predstavlja primerjalno analizo funkcionalnosti in zmogljivosti štirih orodij za rudarjenje procesov. Raziskava temelji na večdimenzionalni oceni šestih ključnih sklopov funkcionalnosti. Rezultati kažejo, da odprtokodna orodja zagotavljajo visoko prilagodljivost in dostop do širokega nabora algoritmov, vendar zahtevajo obsežnejše tehnično znanje. Komercialna orodja nudijo intuitivne uporabniške vmesnike in napredne integracijske možnosti. Glavna ugotovitev raziskave je, da izbira najustreznejšega orodja temelji na specifičnih potrebah in tehničnih zmogljivostih organizacije.
Keywords: rudarjenje procesov, primerjalna analiza, poslovni procesi
Published in DKUM: 08.05.2025; Views: 0; Downloads: 8
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6.
Razvoj in oblikovanje rekreacijskega vozila
Matija Perš, 2025, undergraduate thesis

Abstract: V diplomski nalogi je predstavljen razvoj in oblikovanje rekreacijskega vozila s poudarkom na optimizaciji notranje postavitve, stabilizacijskega sistema in električni samooskrbi. Razvili smo modularno notranjo opremo ki omogoča prilagodljivost in maksimalno izrabo prostora. Uporabili smo računalniško podprto konstruiranje(CAD) v programu Creo. Električni sistem temelji na Mastervolt inverterju, ki zagotavlja avtonomno napajanje. Rezultati kažejo, da vozilo ponuja visoko funkcionalnost in udobje za uporabnike, hkrati pa omogoča energetsko neodvisnost in stabilno uporabo na različnih terenih
Keywords: Rekreacijsko vozilo, razvoj, predelava
Published in DKUM: 08.05.2025; Views: 0; Downloads: 0

7.
Priprava granuliranih gliničnih adsorbentov na pol-industrijskem nivoju : magistrsko delo
Ana Goričan, 2025, master's thesis

Abstract: Uporaba različnih adsorpcijskih sredstev za sušenje komprimiranega zraka je ključnega pomena v številnih industrijskih panogah, saj zagotavlja stabilne pogoje za delovanje opreme in preprečuje korozijo. V magistrskem delu smo proučevali razvoj granulirane aktivirane glinice, namenjene uporabi v sušilnikih komprimiranega zraka. Cilj je bil proizvesti granulat iz aluminijevega hidrata, aktivirane glinice in psevdoboehmita v različnih razmerjih, z namenom doseganja čim višje trdote granul, specifične površine 300 m²/g, določene po BET metodi, in kapacitete vodne adsorpcije (SWA) 15 %. V raziskavi smo uporabili dve različni vrsti glinice in tri tipe hidratov, da bi proučili njihov vpliv na lastnosti granulata. Poleg vpliva surovin smo proučevali še vpliv kalcinacije pri različnih temperaturah. Rezultati so pokazali, da delež aluminijevega hidrata pomembno vpliva na trdoto granul. Nižji deleži hidrata so omogočili izdelavo trdnejših granul zaradi manjše poroznosti, medtem ko je dodatek psevdoboehmita izboljšal trdoto, specifično površino in adsorpcijske lastnosti. Najboljši rezultati so bili doseženi pri formulaciji s 35 % hidrata, kjer so granule dosegle najvišjo trdoto 51 N in SWA 13,3 %, kar se približuje zastavljenim ciljem, ter z 20 % hidrata, kjer je bila dosežena najvišja specifična površina, ki je znašala 283,05 m2/g. Optimizacija je pokazala, da kalcinacija pri temperaturah nad 400 °C ni smiselna, saj ne prinaša bistvenih izboljšav in povečuje energetske stroške. Opravljene so bile tudi XRD analize za boljši vpogled v strukturno sestavo končnih produktov. Ugotovljena sta bila prevlada amorfnih faz pri nižjih temperaturah in prehod v χ ter κ glinico pri višjih temperaturah. Čeprav cilji niso bili povsem doseženi, raziskava predstavlja pomemben vpogled v vpliv surovin in procesnih parametrov na lastnosti granulata. Naše ugotovitve ponujajo trdno osnovo za nadaljnje raziskave in izboljšave materialov za doseganje konkurenčnosti na trgu.
Keywords: aktivirana glinica, aluminijev hidrat, adsorbent, granuliranje, adsorpcija
Published in DKUM: 06.05.2025; Views: 0; Downloads: 0
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8.
Analysis and synthesis of theoretical and practical implications of case management model and notation
Mateja Bule, Gregor Polančič, 2025, original scientific article

Abstract: Case Management Model and Notation (CMMN) is a graphical notation used to model less predictable, highly flexible processes that may behave differently in each instance. It uses an event-centred approach and expands on what can be modelled with procedural modelling notations. Nearly a decade since the occurrence of CMMN, its practical use is questionable. We performed this research to identify possible reasons for this and to classify the potential advantages and disadvantages of CMMN. With the aforementioned objectives, we conducted a systematic literature review, which provided a broad insight into the state of the investigated object along with techniques for analysing qualitative data, coding, and successive approximation. From an initial set of 942 articles, 43 remain relevant. The results of the analysis and synthesis of the obtained data from relevant articles were generalised codes, which were used to explicitly answer the research questions. The results indicate that CMMN has good foundations in the declarative modelling approach and within the Case Management paradigm. Nevertheless, some issues were identified with the notation and elements of CMMN and with its complement—Business Process Model and Notation (BPMN).
Keywords: CMMN, case management, BPMN, declarative modelling, flexibility, visual language
Published in DKUM: 23.04.2025; Views: 0; Downloads: 0
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9.
The adverse impacts of a single exposure to the fungicide picoxystrobin during the larval stage on africanized Apis mellifera
Caio Eduardo da Costa Domingues, Leticia Salvioni Ansaloni, Aleš Gregorc, Elaine C. Mathias da Silva, 2024, original scientific article

Abstract: Pesticide use remains a problem in agriculture, contaminating natural ecosystems and affecting bees. Fungicides have been widely used worldwide, and honey bees can bring contaminated pollen and nectar to the colony, exposing the larvae. Studies on larval exposure to fungicides are still rare. Therefore, this work aimed to evaluate the effects of larval exposure to the fungicide picoxystrobin on biological parameters and cellular stress in the fat body. The larvae were single exposure on the fourth day (D4) to picoxystrobin at concentrations of 5 ng a.i./μL (PCX5), 45 ng a.i./μL (PCX45), 135 ng a.i./μL (PCX135), and 400 ng a.i./μL (PCX400). The effects on larval and pupal mortality, pupation rate, and emergence were evaluated. Additionally, cellular stress in the fat body was assessed in newly emerged bees. Exposure to PCX400 increased larval mortality by 26% and reduced the emergence of adult bees. The other concentrations did not affect larval and pupal mortality, or pupation and emergence rates. A cytotoxicity effect was observed in newly emerged bees from PCX400, indicated by positive immunolabeling of HSP70. Thus, a single exposure to picoxystrobin can impair larval development, induce a cellular stress response, and may interfere with colony dynamics.
Keywords: development, honey bee, non-target organism, strobilurin, toxicity
Published in DKUM: 23.04.2025; Views: 0; Downloads: 0
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10.
An autonomous field robot Farmbeast - the field robot event 2023 edition
Gregor 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: 1
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