1. Commercial SARS-CoV-2 targeted, protease inhibitor focused and protein–protein interaction inhibitor focused molecular libraries for virtual screening and drug designSebastjan Kralj, Marko Jukič, Urban Bren, 2022, pregledni znanstveni članek Opis: Since December 2019, the new SARS-CoV-2-related COVID-19 disease has caused a global
pandemic and shut down the public life worldwide. Several proteins have emerged as potential
therapeutic targets for drug development, and we sought out to review the commercially available
and marketed SARS-CoV-2-targeted libraries ready for high-throughput virtual screening (HTVS).
We evaluated the SARS-CoV-2-targeted, protease-inhibitor-focused and protein–protein-interactioninhibitor-focused libraries to gain a better understanding of how these libraries were designed. The
most common were ligand- and structure-based approaches, along with various filtering steps, using
molecular descriptors. Often, these methods were combined to obtain the final library. We recognized
the abundance of targeted libraries offered and complimented by the inclusion of analytical data;
however, serious concerns had to be raised. Namely, vendors lack the information on the library
design and the references to the primary literature. Few references to active compounds were also
provided when using the ligand-based design and usually only protein classes or a general panel
of targets were listed, along with a general reference to the methods, such as molecular docking for
the structure-based design. No receptor data, docking protocols or even references to the applied
molecular docking software (or other HTVS software), and no pharmacophore or filter design
details were given. No detailed functional group or chemical space analyses were reported, and no
specific orientation of the libraries toward the design of covalent or noncovalent inhibitors could
be observed. All libraries contained pan-assay interference compounds (PAINS), rapid elimination
of swill compounds (REOS) and aggregators, as well as focused on the drug-like model, with the
majority of compounds possessing their molecular mass around 500 g/mol. These facts do not bode
well for the use of the reviewed libraries in drug design and lend themselves to commercial drug
companies to focus on and improve. Ključne besede: targeted libraries, focused libraries, computer-aided drug design, virtual screening, in silico drug design, high-throughput virtual screening Objavljeno v DKUM: 09.04.2025; Ogledov: 0; Prenosov: 3
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2. Optimising energy piles: a multi-objective approach to cost and failure probabilityRok Varga, Primož Jelušič, Bojan Žlender, 2025, izvirni znanstveni članek Opis: This paper presents a comparative analysis of the influence of thermal loading on the design of optimally designed floating energy piles in soft consistency soils using a genetic algorithm. The nonlinear settlement of energy piles is also considered. The deterministic optimisation model (OPT-EP) includes a cost objective function constrained by design constraints and is later extended to include the probability of failure as a second objective function to perform multi-objective optimisation. This extension was undertaken because the Eurocode 7 approach only partially accounts for uncertainties in the soil, whereas the reliability-based design (RBD) approach fully exploits these uncertainties. Consequently, a multi-objective optimisation (cost vs. failure probability) was carried out in this study. The optimal designs obtained by the two different optimisation methodologies were further analysed and it was found that when the Eurocode 7 safety factor approach was used, the conditions related to thermal loading were not crucial for the design values. On the other hand, the multi-objective optimisation based on the RBD approach showed that the thermal loading affected the design, proving the usefulness of the multi-objective optimisation and the reliability-based design. Ključne besede: energy pile, multi-objective optimisation, reliability-based design, genetic algorithm Objavljeno v DKUM: 04.04.2025; Ogledov: 0; Prenosov: 5
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3. Faculty of Mechanical Engineering : Research Guide2025, vodič Opis: The publication presents an overview of research activities and research achievements at the Faculty of Mechanical Engineering. The following research areas are presented: Energy, process and environmental engineering, Construction and design, Materials technology, Mechanics, Production engineering, Textile materials and design, and Fundamental and general areas. Individual laboratories and centers of the faculty present their research equipment, service offerings for industry, collaborations with companies and other institutions, the most prominent publications, patents, national and international projects and the most important research achievements. Ključne besede: energy, construction and design, process and environmental engineering, materials technology, mechanics, production engineering, textile materials and design Objavljeno v DKUM: 01.04.2025; Ogledov: 0; Prenosov: 2
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4. 3D platform for coupling coefficient evaluation of an inductive power transfer systemsJure Domajnko, Miro Milanovič, Nataša Prosen, 2022, izvirni znanstveni članek Opis: This paper presents a custom-made, computer-connected, and controlled 3D platform that
enables the evaluation of the coupling coefficient between the transmitter and receiver coil parts of an
inductive wireless power transfer (IPT) system. The platform includes a computer application, a 3D
positioning mechanism, and an inductance measurement circuit. The positioning mechanism moves
the coils to the point in 3D space, and the inductance circuit measures the mutual inductance between
the transmitter and the receiver coil. The measured value can be used to calculate the coupling
coefficient between the transmitter and the receiver coil. The data are sent to the computer for further
visualisation. The transmitter and the receiver coil can be evaluated by measuring the coupling
coefficient between them in multiple points in space. Measurements performed with the platform
can be used in the design and evaluation phases of inductive wireless power transfer systems and to
extrapolate the polynomial function of the coupling coefficient in relation to the distance between
coils or their misalignment. Ključne besede: coupling coefficient, inductance measurement, IPT coil design Objavljeno v DKUM: 01.04.2025; Ogledov: 0; Prenosov: 3
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5. Magnetic flux density measurement platform for an inductive wireless power transmitter coil designNataša Prosen, Miro Milanovič, Jure Domajnko, 2022, izvirni znanstveni članek Opis: 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.
Ključne besede: magnetic field, magnetic flux density, IPT, transmitter coil design, EM solver Objavljeno v DKUM: 01.04.2025; Ogledov: 0; Prenosov: 1
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6. Identification of furin protease small-molecule inhibitor with a 1,3-thiazol-2-ylaminosulfonyl scaffoldAnja Kolarič, Vid Ravnik, Sara Štumpf Horvat, Marko Jukič, Urban Bren, 2025, izvirni znanstveni članek Ključne besede: computer-assisted drug design, CADD, computer-assisted drug design, furin inhibitors, protease inhibitors, antivirals, protease inhibitors, furin assay, antiviral drug design Objavljeno v DKUM: 20.03.2025; Ogledov: 0; Prenosov: 1
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7. When technology meets sustainability: microplastic removal from industrial wastewater, including impact analysis and life cycle assessmentJan Puhar, Michael Toni Sturm, Erika Myers, Dennis Schober, Anika Korzin, Annamaria Vujanović, Katrin Schuhen, 2025, izvirni znanstveni članek Opis: Microplastics (MPs) that are ubiquitous in aquatic environments and industrial wastewater streams have been identified as key hotspots of MP contamination. It is significantly more effective to remove MPs at these points before they enter municipal wastewater streams. This study is an environmental assessment of a novel pilot plant for the removal of MPs and the chemical oxygen demand (COD) from wastewater with a high MP contamination from a plastics manufacturer in Germany. MP removal is based on physical–chemical agglomeration–fixation by organosilanes. Formed agglomerates are separated using a belt filter. The COD is removed by an adsorption process. The resulting MP removal was 98.0 ± 1.1% by mass and 99.9987 ± 0.0007% by particle count, while the COD was reduced by 96 ± 2.7%. The system’s sustainability is evaluated using the Life Cycle Assessment methodology, evaluating system construction, operation, and end-of-life considerations. The current pilot plant is also compared to an optimized circular and sustainable upgrade, where drivers of environmental burdens are eliminated and collected MPs are reused. Significant reductions in environmental impact categories are achieved and the global warming potential is reduced by 96%. This study provides a sustainability assessment of a novel technology and circular solution to remove MPs from highly polluted industrial wastewater. Ključne besede: microplastics, life cycle assessment, impact analysis, removal technology, sustainable process design, carbon footprint, water quality, circular economy Objavljeno v DKUM: 14.03.2025; Ogledov: 0; Prenosov: 4
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8. Optimizing H-BIM workflow for interventions on historical building elementsSara Guerra de Oliveira, Salvatore Antonio Biancardo, Andrej Tibaut, 2022, izvirni znanstveni članek Opis: Intervention projects for historical buildings depend on the quality of multidisciplinary
data sets; their collection, structure, and semantics. Building information model (BIM) based workflows for historical buildings accumulate some of the data sets in a shared information model that
contains the building’s geometry assemblies with associated attributes (such as material). A BIM
model of any building can be a source of data for different engineering assessments, for example, solar
and wind exposure and seismic vulnerability, but for historic buildings it is particularly important
for interventions like conservation, rehabilitation, and improvements such as refurbishment and
retrofitting. When the BIM model is abstracted to a semantic model, enabling the use of semantic
technologies such as reasoning and querying, semantic links can be established to other historical
contexts. The semantic technologies help historic building experts to aggregate data into meaningful
form. Ontologies provide them with an accurate knowledge representation of the concepts, relationships, and rules related to the historic building. In the paper, we are proposing an improved
workflow for the transformation of a heritage BIM model to a semantic model. In the BIM part the
workflow demonstrates how the fully parametric modelling of historical building components is
relevant, for example, in terms of reusability and adaptation to a different context. In the semantic
model part, ontology reuse, reasoning, and querying mechanisms are applied to validate the usability
of the proposed workflow. The presented work will improve knowledge-sharing and reuse among
stakeholders involved in historic building projects. Ključne besede: heritage building information modelling (H-BIM), algorithmic design, semantic model, ifcOWL, Erlangen CRM, OWL, SPARQL Objavljeno v DKUM: 13.03.2025; Ogledov: 0; Prenosov: 1
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9. Cost optimization of reinforced concrete section according to flexural crackingPrimož Jelušič, 2022, izvirni znanstveni članek Opis: A series of distributed flexural cracks develop in reinforced concrete flexural elements
under the working load. The control of cracking in reinforced concrete is an important issue that
must be considered in the design of reinforced concrete structures. Crack width and spacing are
influenced by several factors, including the steel percentage, its distribution in the concrete crosssection, the concrete cover, and the concrete properties. In practice, however, a compromise must
be made between cracking, durability, and ease of construction and cost. This study presents the
optimal design of a reinforced concrete cross-section, using the optimization method of mixed-integer
nonlinear programming (MINLP) and the Eurocode standard. The MINLP optimization model
OPTCON was developed for this purpose. The model contains the objective function of the material
cost considering the crack width requirements. The crack width requirements can be satisfied by
direct calculation or by limiting the bar spacing. Due to the different crack width requirements, two
different economic designs of reinforced concrete sections were proposed. The case study presented
in this study demonstrates the value of the presented optimization approach. A direct comparison
between different methods for modelling cracking in reinforced concrete cross-sections, which has
not been done before, is also presented. Ključne besede: crack width, cost optimization, optimal design, mixed-integer non-linear programming Objavljeno v DKUM: 13.03.2025; Ogledov: 0; Prenosov: 1
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10. CAE artificial neural network applied to the design of incrementally launched prestressed concrete bridgesTomaž Goričan, Milan Kuhta, Iztok Peruš, 2025, izvirni znanstveni članek Opis: Bridges are typically designed by reputable, specialized engineering and design companies with years of experience. In these firms, experienced engineers share and pass on their knowledge to younger colleagues. However, when these experts retire, some of the knowledge is lost forever. As a subset of artificial intelligence methods, artificial neural networks (ANNs) can solve the problem of acquiring, transferring, and preserving specialized expert knowledge. This article describes the possible application of CAE ANN to acquire knowledge and to assist in the design of incrementally launched prestressed concrete bridges. Therefore, multidimensional graphs in the form of iso-curves of equal values were created, allowing practicing engineers to understand complex relationships between design parameters. The graphs also contain information about the reliability of the results, which is defined by an estimated parameter. The general rule is that results based on a larger number of actual data points are more reliable. Finally, an ANN BD assistant is proposed as an application that assists engineers and designers in the early stages of design and/or established engineers and designers in variant studies and design parameter optimization. Ključne besede: artificial neural networks, bridge design, incremental launching method, expert knowledge, reliability of predictions, prestressed concrete bridges Objavljeno v DKUM: 10.03.2025; Ogledov: 0; Prenosov: 12
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