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1.
Evaluating attitudes toward microchip implants : a comparative study of five Eastern European countries
Alenka Baggia, Lukasz Zakonnik, Maryna Vovk, Vanja Bevanda, Daria Maltseva, Stanislav Moissev, Borut Werber, Anja Žnidaršič, 2025, original scientific article

Abstract: Funding: This work was supported by the Slovenian Research Agency; Program No. P5-0018 – Decision Support Systems in Digital Business and the HSE University Basic Research Program. Conflicts of interest: All authors declare that they have no conflicts of interest. Ethics statement: All procedures performed in this study involving human participants were in accordance with the ethical standards of the University of Maribor, Faculty of Organizational Sciences research committee (decision no. 514/5/2021/1/902-DJ) and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Background and purpose: Technology acceptance has been researched for decades. While some technologies are widely accepted, others are perceived as a threat, such as microchip implants. In this study, a two-step structural equation modeling approach was used to evaluate a new research model on microchip implant acceptance. Methodology: A structural equation modeling model was developed to identify what influences the perceived acceptance of microchip implants. To determine differences in attitudes toward microchip implants, the study was conducted in five Eastern European countries. Results: The results show that the influence of the factors does not differ significantly across the countries studied. Age, trust, and perceived usefulness affected the overall intention to use microchip implants, while ease of use was significant in only one country. Differences were found in perceptions of the right to privacy and conspiracy theories. The usefulness of microchip implants in pandemic was significant in all countries. Conclusion: Small differences in attitudes towards microchip implants suggest that a general model of microchip implant acceptance could be constructed based on the data collected. In addition to these findings, our study noted the lack of legislation for microchip implants in the region and a lack of knowledge about this technology.
Keywords: microchip implant, near field communication, behavioural intentions, structural equation model, technology acceptance model
Published in DKUM: 05.09.2025; Views: 0; Downloads: 8
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2.
Integrating Multi-Physics Modeling within Multi-Objective Optimization to Enhance the Performance and Efficiency of Permanent Magnet Synchronous Machines : doktorska disertacija
Mitja Garmut, 2025, doctoral dissertation

Abstract: This Dissertation focuses on the optimization of an Interior Permanent Magnet (IPM) machine for handheld battery-powered tools, aiming to enhance performance and efficiency. The research integrates multi-physics modeling, including electromagnetic Finite Element Method (FEM) and thermal models, to evaluate machine performance under various operating conditions. The performance is evaluated according to selected Key Performance Indicators (KPIs). Further, different control methods, such as Field Oriented Control and Square-Wave Control, impact the performance significantly and are incorporated into the optimization process. Due to the computational challenges of FEM-based performance evaluations in Multi-Objective Optimization (MOO), this work utilizes Artificial Neural Network (ANN)-based meta-models, to accelerate the optimization process while preserving accuracy. The developed meta-models capture nonlinear machine characteristics from the FEM model. These meta-models are then used to evaluate machine performance through a combination of analytical and numerical post-processing methods. Four MOO scenarios are presented, each aimed at optimizing the cross-sectional design of IPM machines, to enhance performance and efficiency while reducing mass and cost. Additionally, these scenarios modify the machine’s electromagnetic behavior, to ensure better alignment with the selected control method. By comparing the optimization process of Scenario 1, which uses direct FEM-based evaluation without time reduction measures, to the approach incorporating Artificial Neural Network based meta-models, the total number of individual FEM evaluations decreased from 2.35×10^9 to 2.03×10^5, without almost any loss of accuracy. This reduced the computation time from 297 years to 9.07 days on our standard desktop computer. The obtained ANN-base meta-models can be used further for other optimizations without the need for additional FEM evaluations. In all four optimization scenarios, the use of meta-models enabled the generation of a Pareto front of the optimal solutions, leading to improved KPIs compared to the reference design. The highest relative improvement occurred in Scenario 1, where the selected optimized machine design achieved a 30% increase in power density compared to the reference design.
Keywords: Interior Permanent Magnet (IPM) Machine, Artificial Neural Network (ANN), Meta-Modeling, Multi-Objective Optimization (MOO), Finite Element Method (FEM), Multi-Physics Modeling, Field Oriented Control (FOC), Square-Wave Control (SWC)
Published in DKUM: 15.05.2025; Views: 0; Downloads: 161
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3.
Magnetic flux density measurement platform for an inductive wireless power transmitter coil design
Nataša Prosen, Miro Milanovič, Jure Domajnko, 2022, original scientific article

Abstract: This paper presents a platform developed for automated magnetic flux density measurement. The platform was designed to be used to measure the magnetic flux density of the transmitter/receiver coil of an inductive wireless power transfer system. The magnetic flux density of a transmitter was measured using a small, 3-axis search coil. The search coil was positioned in the 3D space above the transmitter coil using a 3D positioning mechanism and used to measure the magnetic flux density at a specific point. The data was then sent to a computer application to visualize the magnetic flux density. The measured magnetic field could be used in combination with electromagnetic field solvers to design and optimize transmitter coils for inductive wireless power transfer systems.
Keywords: magnetic field, magnetic flux density, IPT, transmitter coil design, EM solver
Published in DKUM: 01.04.2025; Views: 0; Downloads: 9
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4.
Contactless determination of a permanent magnet’s stable position within ferrofluid
Mislav Trbušić, Anton Hamler, Viktor Goričan, Marko Jesenik, 2022, original scientific article

Abstract: The paper deals with the contactless detection of a rod permanent magnet’s position within a ferrofluid. The working principle of the proposed approach is grounded on the solenoidal nature of the field lines. For the line detection technique analyzed in this article, where the magnetic field is scanned along the line parallel to the magnet’s axial direction, the center of the magnet corresponds to the point on the line where the radial component of the magnetic field vanished. The concept introduced here was evaluated numerically, where the results showed a promising perspective for the technique to be employed in practice. In contrast to the X-ray or Vernier-caliper-based technique, the one proposed here is somewhat more suitable for employment in applications where simplicity and robustness are of vital importance.
Keywords: permanent magnet, levitation, ferrofluid, magnetic sensor, magnetic field, finite element method, FEM
Published in DKUM: 28.03.2025; Views: 0; Downloads: 10
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5.
Enhancing Martini3 for protein self-interaction simulations
Jonas Binder, Matja Zalar, Martin Huelsmeyer, Michael Siedler, Robin Curtis, Wolfgang Frieß, 2025, original scientific article

Abstract: Coarse-grained molecular dynamics simulations are highly valuable for studying protein-protein interactions. Unfortunately, commonly used force fields often overestimate these interactions. Here, we investigate the performance of the Martini 3 force field in predicting the self-interaction behavior of lysozyme and subtilisin using Metadynamics. The original Martini 3, despite improvements over its predecessor, overestimates interaction strength. Through reparameterization of bead interactions, we achieve good agreement with experimental data of the second virial coefficient and the diffusion coefficient. The new, refined force field enables more accurate CG-MD simulations, with potential applications in understanding and prediction of protein stability, aggregation tendencies, and solubility, with the possibility to aid in the development of protein-based drugs.
Keywords: coarse-grained molecular dynamics, Martini 3 force field, protein-protein interactions, B22, reparameterization, NMR, diffusion coefficient
Published in DKUM: 20.03.2025; Views: 0; Downloads: 7
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6.
7.
Control of sliding entrance door with radio frequency identification : master's thesis
Matija Pribanić, 2024, master's thesis

Abstract: This master's thesis addresses the issue of surveillance and the right of access to protected zones. NFC technology was selected as a solution for identifying and monitoring sliding doors. The monitoring system is connected to the web server via an Internet connection, which enables easier data processing and more straightforward data access. In this master's thesis, a scaled sliding door model was used that was made using a 3D printer. The thesis also addresses the issue of powering the system using an uninterruptible power supply (UPS) system in the event of a power outage. The monitoring and control system is designated and implemented as a modular system consisting of a UPS, NFC, and the main module. The UPS module powers the system and ensures an uninterrupted power supply. The NFC module is used to communicate between the user of the NFC key and the system. The main module is intended for processing the data received from other modules and components in the security system, managing the sliding doors, and sending the processed data to the controller.
Keywords: access control system, near-field communication, ISO/IEC 14443 standard, radio frequency identification, sliding door
Published in DKUM: 06.02.2025; Views: 0; Downloads: 19
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8.
Mixed-field radiation of 3-D MLC flash memories for space applications
Lorenzo Gonzales, Salvatore Danzeca, Salvatore Fiore, Iztok Kramberger, 2024, original scientific article

Abstract: This article presents the results of dynamic measurements of 3-D multilevel cell (MLC) NAND flash memories in a mixed-field radiation facility CERN High-energy AcceleRator Mixed field/facility (CHARM), CERN. The results show that the behavior of devices is comparable to tests with specific high energy particles, such as high energy protons, heavy ions, and to TID tests. The observed TID and single-event effects (SEEs) in flash memories from the existing relevant work are also observed in mixed field, making the environment suitable for an accelerated system level test. As the CHARM hadron energy spectrum is comparable to the low Earth orbit (LEO) environment, the facility is appropriate as an accelerated test for space applications. Furthermore, the volumetric characteristics of the devices can be observed in this 3-D radiation facility. Additionally, bad bit (BB) spread was observed, and the necessary radiation induced errors in NAND devices are discussed.
Keywords: bit error rate, flkash memories, memory controller, mixed field facility, multilevel cell, MLC, radiation hardness, single-event upsets, SEUs, space applications, total ionizing dose
Published in DKUM: 03.02.2025; Views: 0; Downloads: 14
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9.
Why? - Successful Pseudomonas aeruginosa clones with a focus on clone C
Changhan Lee, Jens Klockgether, Sebastian Fischer, Janja Trček, Burkhard Tümmler, Ute Römling, 2020, review article

Abstract: The environmental species Pseudomonas aeruginosa thrives in a variety of habitats. Within the epidemic population structure of P. aeruginosa, occassionally highly successful clones that are equally capable to succeed in the environment and the human host arise. Framed by a highly conserved core genome, individual members of successful clones are characterized by a high variability in their accessory genome. The abundance of successful clones might be funded in specific features of the core genome or, although not mutually exclusive, in the variability of the accessory genome. In clone C, one of the most predominant clones, the plasmid pKLC102 and the PACGI-1 genomic island are two ubiquitous accessory genetic elements. The conserved transmissible locus of protein quality control (TLPQC) at the border of PACGI-1 is a unique horizontally transferred compository element, which codes predominantly for stress-related cargo gene products such as involved in protein homeostasis. As a hallmark, most TLPQC xenologues possess a core genome equivalent. With elevated temperature tolerance as a characteristic of clone C strains, the unique P. aeruginosa and clone C specific disaggregase ClpG is a major contributor to tolerance. As other successful clones, such as PA14, do not encode the TLPQC locus, ubiquitous denominators of success, if existing, need to be identified.
Keywords: disaggregase, FtsH, genomic island, protein homeostasis, pulsed field gel electrophoresis, whole genome sequencing
Published in DKUM: 28.01.2025; Views: 0; Downloads: 5
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10.
Mathematical modeling of the floating sleeper phenomenon supported by field measurements : Mojmir Uranjek, Denis Imamović and Iztok Peruš
Mojmir Uranjek, Denis Imamović, Iztok Peruš, 2024, original scientific article

Abstract: This article aims to provide an accurate mathematical model with the minimum number of degrees of freedom for describing the floating sleeper phenomenon. This was accomplished using mathematical modeling supported by extensive field measurements of the railway track. Although the observed phenomenon is very complex, the simplified single degree of freedom (SDOF) mathematical model proved accurate enough for its characterization. The progression of the deterioration of the railway track was successfully correlated to changes in the maximal dynamic factor for different types of pulse loading. The results of the presented study might enable the enhanced construction and maintenance of railroads, particularly in karst areas.
Keywords: floating sleepers, dynamic factor, pulse loading, field measurements, SDOF mathematical model
Published in DKUM: 28.11.2024; Views: 0; Downloads: 25
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