1. Artificial intelligence in employee learning process : insights from Generation ZBranka Zolak Poljašević, Simona Šarotar Žižek, Ana Marija Gričnik, 2024, original scientific article Abstract: Artificial intelligence, as a field of computer science focused on
developing technologies that simulate intelligent behaviours and
human cognitive functions, undoubtedly has huge potential to
transform all business activities, including the process of employee
learning. However, different generations have varying attitudes toward
the rapid advancement of technology and the increasing possibilities
offered by artificial intelligence. The general purpose of this research
is to gain insights into the attitudes of Generation Z regarding the use
of AI in the context of the employee learning process. Empirical
research was conducted on a sample of 264 respondents from Slovenia
and Bosnia and Herzegovina. In addition to descriptive statistics,
Cronbach's alpha, Shapiro-Wilk, and Mann-Whitney tests were used to
test hypotheses. Generally, the research findings indicate that the
upcoming generation of the workforce considers artificial intelligence
a significant factor in improving the employee learning process. The
study contributes to human resource management literature because it
brings new insights into Generation Z attitudes, whose participation in
the active workforce will significantly increase in the coming years. Keywords: learning process, Artificial Intelligence, employees, generation Z, sociodemographic characteristic Published in DKUM: 27.05.2025; Views: 0; Downloads: 4
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2. Leveraging grammarware for active video game developmentMatej Črepinšek, Tomaž Kosar, Matej Moravec, Miha Ravber, Marjan Mernik, 2025, original scientific article Abstract: This paper presents a grammarware-based approach to developing active video games (AVGs) for sensor-driven training systems. The GCGame domain-specific language (DSL) is introduced to define game logic, sensor interactions, and timing behavior formally. This approach ensures cross-platform consistency, supports real-time configurability, and simplifies the integration of optimization and visualization tools. The presented system, called GCBLE, serves as a case study, demonstrating how grammarware enhances modularity, maintainability, and adaptability in real-world physical interaction applications. The results highlight the potential of a DSL-driven design to bridge the gap between developers and domain experts in embedded interactive systems Keywords: active video games, grammarware, internet of things, DSL, procedural level generation, evolutionary computation, game controllers Published in DKUM: 23.04.2025; Views: 0; Downloads: 3
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3. Maximizing the power output and net present value of organic rankine cycle: application to aluminium industryMonika Dokl, Rok Gomilšek, Lidija Čuček, Ben Abikoye, Zdravko Kravanja, 2022, original scientific article Abstract: This study presents an integrated design and optimization of an Organic Rankine Cycle (ORC) for the recovery of waste heat from aluminium production. Non-Linear Programming (NLP) models were developed, with the objectives of maximizing electricity production and the Net Present Value (NPV) of the system. The models account for optimizing the operating conditions and changes in thermodynamic features of the system. The developed models are applied to a case study of Slovenian aluminium company where the performance of three different working fluids (R245fa, R1234yf and R1234ze) are compared. The optimization is performed considering different temperatures and prices of produced hot water and electricity, minimum approach temperature (DTmin), concentration of CO2 in flue gas and temperature and flowrate of flue gas. Results show that the selected working fluids for the proposed waste heat-based ORC system have the potential to substitute up to about 830 kW of electricity in a sustainable and economic manner. Out of the three working fluids considered, R245fa showed up to 7.9% efficiency of the ORC cycle and was identified as the best performing working fluid considering both economic viability and the amount of electricity produced by the system, however the refrigerant inherently has higher GHG footprint. Keywords: waste heat, waste heat utilization, aluminium industry, organic rankine cycle, power generation, optimization Published in DKUM: 10.04.2025; Views: 0; Downloads: 1
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4. Enhanced photothermal based-heat retention in regenerated cellulose fibers via ceramic particles and polyelectrolyte binders-based surface functionalizationÖzkan Yapar, Ajra Hadela, Alenka Ojstršek, Aleksandra Lobnik, 2025, original scientific article Abstract: : There has been growing interest and increasing attention in the field of functional clothing textiles, particularly in product and process development, as well as innovations in heat-generating, retaining, and releasing fibers to maintain a healthy body temperature without relying on unsustainable energy sources. This study, for the first time, reports the various physio-mechanical properties of surface-functionalized regenerated cellulose fibers (RCFs) coated with ceramic particles. The coating imparts photothermal conversion-based heat generation and retention properties with the aid of polyelectrolyte binders. In this design, ZrC enables the conversion of light energy into thermal energy, providing heat for the human body. A feasible coating process was employed, utilizing industrially feasible exhaustion methods to deposit the ZrC particles onto the RCF surface in conjunction with two distinctive polymeric binders, specifically polyethyleneimine (PEI) and polydiallyldimethylammonium chloride (polyDADMAC). The morphological characteristics and tensile properties of the coated RCFs were analyzed via scanning electron microscopy (SEM) and single-fiber tensile testing. Heat retention and release behaviors of a bundle of fiber samples were assessed using infrared (IR) imaging and an IR emission lamp setup. The SEM results confirmed the successful coating of the ZrC particles on the surface of the RCF samples, influencing negligible on their physical–mechanical properties. The heat retention of the coated RCFs with ZrC and both binders was higher than that of reference regenerated cellulose fibers (RCFs), demonstrating their effective heat generation, retention, and heat release properties. Based on the highlighted prominent results for the coated RCFs, these findings highlight the suitability of the developed functional clothing textiles for targeted applications in non-extreme thermal conditions, ensuring thermo-physiological comfort by maintaining body temperature within a tolerable thermal range (36.5–37.5 ◦C), in contrast to studies reporting significantly higher temperatures (50–78 ◦C) for extreme thermal conditions. Keywords: regenerated cellulose fibers, RCFs, ceramic particles, zirconium carbide, ZrC, surface functionalization, heat generation and retention Published in DKUM: 01.04.2025; Views: 0; Downloads: 131
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6. Simulating and verifying a 2D/3D laser line sensor measurement algorithm on CAD models and real objectsRok Belšak, Janez Gotlih, Timi Karner, 2024, original scientific article Abstract: The increasing adoption of 2D/3D laser line sensors in industrial and research applications necessitates accurate and efficient simulation tools for tasks such as surface inspection, dimensional verification, and quality control. This paper presents a novel algorithm developed in MATLAB for simulating the measurements of any 2D/3D laser line sensor on STL CAD models. The algorithm uses a modified fast-ray triangular intersection method, addressing challenges such as overlapping triangles in assembly models and incorporating sensor resolution to ensure realistic simulations. Quantitative analysis shows a significant reduction in computation time, enhancing the practical utility of the algorithm. The simulation results exhibit a mean deviation of 0.42 mm when compared to real-world measurements. Notably, the algorithm effectively handles complex geometric features, such as holes and grooves, and offers flexibility in generating point cloud data in both local and global coordinate systems. This work not only reduces the need for physical prototyping, thereby contributing to sustainability, but also supports AI training by generating accurate synthetic data. Future work should aim to further optimize the simulation speed and explore noise modeling to enhance the realism of simulated measurements. Keywords: 2D/3D laser line sensor, profilometry, simulation, point cloud, measurement generation, STL, Matlab Published in DKUM: 10.01.2025; Views: 0; Downloads: 11
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7. Generation Z travel values in the luxury tourism industry : 1st cycle professional bachelor's studies graduate thesisEma Barišić, 2024, undergraduate thesis Abstract: Generation Z is becoming more active in today’s time. Its values are important to investigate as they will be the primary target in the market. In this thesis, we aimed to investigate Generation Z's values in the specific sector of luxury tourism and explore how they would engage with it. To begin, we defined traditional luxury, which was based on material goods, and compared it with new luxury, which is centered around experiences. Afterwards, we collected data on Generation Z from scholars and identified what events could have influenced them to develop such unique values that have not been seen before. To support our claims, we conducted a survey in the empirical part of the thesis. An in-depth analysis was done to examine whether these values hold true or should be reconsidered. Keywords: Generation Z, luxury tourism, new luxury, values Published in DKUM: 07.01.2025; Views: 0; Downloads: 33
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8. Generation Z and ethicality of advancement in the workplace : a study of Slovenia and LithuaniaZlatko Nedelko, Valentina Peleckiene, Kęstutis Peleckis, Kestutis K. Peleckis, Giedre Lapinskiene, Vojko Potočan, 2022, original scientific article Abstract: The main purpose of this study was to examine the ethicality of future employees’ attitudes toward advancement in the workplace in Slovenia and Lithuania. This study focuses on students representing young adults from Generation Z as future employees in organizations. Using a survey of work-related issues, we collected 212 answers from Slovenian and 159 from Lithuanian' students from business faculties. We used t-tests and regression analyses to obtain results. We found that the future employees in Slovenia see organizationally beneficial behavior and self-indulgent behavior significantly more acceptable for their advancement, than their Lithuanian peers. No differences exist in the perception of destructive behavior among participants from both countries. Substantial differences in the importance of personal values among Generation Z members in both societies, provide a strong support for the divergence nature of Generation Z across cultures. The impact of personal values on the ethicality of different behavior for advancement in the workplace among future employees in both societies is substantial, but biased and follows different patterns. In Slovenia, the dominant role has power, followed by hedonism, benevolence, security, conformity, tradition, and universalism, while in Lithuania, the dominant role belongs to self-direction, followed by tradition, universalism, security, achievement, and power. This study will help us to understand Generation Z values and their perceptions regarding ethicality of advancement in the workplace and enable organizations to manage the behavior of future employees. Keywords: Generation Z, personal values, Slovenia, Lithuania, unethical practices, ethicality, behavior, advancement in the workplace Published in DKUM: 11.07.2024; Views: 88; Downloads: 13
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10. The Influence of Chestnut Extract and Its Components on Antibacterial Activity against Staphylococcus aureusSara Štumpf Horvat, Gregor Hostnik, Tomaž Langerholc, Maša Pintarič, Zala Kolenc, Urban Bren, 2023, original scientific article Abstract: Increasing antimicrobial resistance has caused a great interest in natural products as alternatives or potentiators of antibiotics. The objective of this study was to isolate individual tannins from crude chestnut extract as well as to determine the influence of both crude extracts (tannic acid extract, chestnut extract) and individual pure tannins (gallic acid, vescalin, vescalagin, castalin, castalagin) on the growth of Gram-positive Staphylococcus aureus bacteria. Their antibacterial activity was monitored by measuring the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) as well as the duration of the lag phase, growth rate and generation time. The effect of growth medium strength on the MIC of different tannins was also investigated. Bacterial growth was followed spectrophotometrically, and MIC values were determined by the microdilution method. The MIC values of various isolated compounds allowed us to determine the bioactive compounds and their contribution to antimicrobial activity. It was found that MIC values increase with increasing growth medium strength and that the lag phase lengthens with increasing tannin concentrations, while the growth rates decrease. Comparing the results of the two studies, the antimicrobial activity of tannins against S. aureus was not as pronounced as in the case of E. coli, which may indicate that a different mechanism of action is responsible for the antimicrobial effects of tannins on Gram-positive than on Gram-negative bacteria, or that a different mechanism is more pronounced. Keywords: tannins, antibacterial activity, MIC, MBC, Staphylococcus aureus, lag phase, generation time Published in DKUM: 20.02.2024; Views: 363; Downloads: 82
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