Iskanje po katalogu digitalne knjižnice

Opis: In the chapter, milk fermentation for kefir production is studied. The traditional kefir production process based on inoculating kefir grains into milk is considered. The quality and quantity of the produced kefir also depend on the dynamics of the fermentation process. The chapter presents the design and synthesis of the closed-loop control system in which changing the bioreactor’s temperature is used to control the time course of the concentration of dissolved CO2. In the chapter: (1) a nonlinear dynamic mathematical model of the fermentation process, which allows evaluating the influence of the bioreactor’s temperature on the dynamics of the fermentation process, is presented; (2) the design and synthesis of a conventional linear control system with constant parameters are carried out; (3) an adaptive control system that enables the tracking of the courses of the quantities of the fermentation process to the desired reference trajectories without the time-consuming preliminary identification of the parameters of the fermentation process model is developed. The numerical, experimental, and analytic outcomes of the study are presented.
Ključne besede: milk fermentation, batch biorector, mathematical modeling, control system design and synthesis, linear control, model reference adaptive control
Objavljeno v DKUM: 08.01.2026; Ogledov: 0; Prenosov: 2
Celotno besedilo (5,29 MB)
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Opis: Cultured meat (CM) is an emerging technology involving the use of animal cells to produce meat in vitro. It has the potential to replace or complement traditional meat production, offering a sustainable and ethical alternative to farmed animals. CM could provide sufficient meat to satisfy the growing demand for animal-based protein while addressing the negative impact of traditional livestock agriculture such as disease transmission, antibiotic misuse, poor animal welfare, and greenhouse gas emissions. But efficient industrial bioreactor systems, low-cost media, and high producing suitable cells are needed for CM technology to compete with or supplement conventional meat production. Bioreactors provide a controlled in vitro environment for the supply of nutrients and stimulus to the cells, which is necessary for cell expansion and differentiation on a large scale. In this review, we discuss the state of the art in bioreactor systems used for CM production, highlighting their characteristics and applications, advantages and disadvantages, the effect of key process parameters, and scale-up strategies. We also consider key performance indicators for the bioreactor-based large-scale production of CM.
Ključne besede: bioreactor design, cell differentiation, cell expansion, cultured meat, scale-up, stem cells
Objavljeno v DKUM: 18.12.2025; Ogledov: 0; Prenosov: 1
Celotno besedilo (2,05 MB)
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Opis: Aims: Understanding protein–ligand binding site behavior is central to structure-based drug design. Weanalyzed amino acid composition and interactions in protein–ligand small-molecule binding sites anddeveloped a novel method for binding site prediction.Materials and methods: We analyzed the PDBBind+ database, which contains the largest protein–ligand binding site dataset known to us, using existing cheminformatics packages and in-house code.We used the resulting data to train a binding site prediction model.Results: Within solvent-accessible binding regions, tryptophan, phenylalanine, tyrosine, methionine,and glycine, were enriched. Interaction analysis revealed hydrophobic contacts as the most frequent,followed by hydrogen bonds, water-bridged hydrogen bonds, salt bridges, π–π, π–cation, and occa-sional halogen interactions. We introduced the amino acid binding site enrichment index (ABSE), tosupport small-molecule binding site detection, and developed a model that discriminates binding sitesequences from protein surface patches with 0.91 accuracy.Conclusions: This work offers interpretable composition–interaction relationships and practical tool forbinding site characterization. To facilitate application, we provide a free, open-source, fast, bindingsiteidentification tool (AABS), available at https://gitlab.com/Jukic/aabs. We anticipate that these findingsand tool will advance binding site prediction and accelerate computationally intensive drug discoverywithin medicinal chemistry.
Ključne besede: protein surface analysis, small-molecule binding site detection, machine learning, cheminformatics, amino acidindex, binding site, mall-molecule–protein interactions, in-silico drug design
Objavljeno v DKUM: 08.12.2025; Ogledov: 0; Prenosov: 1
Celotno besedilo (7,50 MB)

Opis: The design of ergonomic tool handles is crucial for user comfort and performance, yet conventional stiff materials often lead to uneven pressure distribution and discomfort. This study investigates the application of 3D-printed cellular metamaterials with tunable stiffness, specifically gyroid structures, to enhance the ergonomic and haptic properties of tool handles. We employed finite element analysis to simulate finger–handle interactions and conducted subjective comfort evaluations with participants using a foxtail saw with handles of varying gyroid infill densities and a rigid PLA handle. Numerical results demonstrated that handles with medium stiffness significantly reduced peak contact pressures and promoted a more uniform pressure distribution compared to the stiff PLA handle. The softest gyroid handle, while compliant, exhibited excessive deformation, potentially compromising stability. Subjective comfort ratings corroborated these findings, with medium-stiffness handles receiving the highest scores for overall comfort, fit, and force transmission. These results highlight that a plateau-like mechanical response of the 3D-printed cellular metamaterial handle, inversely bioinspired by human soft tissue, effectively balances pressure redistribution and grip stability. This bioinspired design approach offers a promising direction for developing user-centered products that mitigate fatigue and discomfort in force-intensive tasks.
Ključne besede: bioinspired design, product ergonomics, 3D printing, tool handle, finite element method, user comfort, cellular metamaterials
Objavljeno v DKUM: 03.11.2025; Ogledov: 0; Prenosov: 4
Celotno besedilo (2,85 MB)
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Opis: Migration flows along the Balkan Route since 2015 have revealed structural weaknesses in the European Union’s migration governance and highlighted the need for new, evidence-based approaches. This paper presents the MIG@B project, which develops an integrated simulation model of migration by combining agent-based modelling (ABM), system dynamics (SD), and discrete-event simulation (DES), supported by Bayesian methods for managing uncertainty. The model addresses both micro-level decision-making among migrants and macro-level feedback loops between policies and public opinion, as well as operational challenges related to border flows and asylum capacities. The approach contributes to the design of coordinated and sustainable EU and Slovenian migration policies, aligning with the New Pact on Migration and Asylum [1] and Slovenia’s Migration Strategy 2023–2030 [2]. The expected contribution is threefold: scientific innovation through methodological integration, political usability by providing scenario-based testing of policy measures, and normative relevance through alignment with European solidarity and human rights values. The MIG@B framework exemplifies how simulation modelling can serve as a laboratory for migration policy, enabling transparent, robust, and data-driven decision-making.
Ključne besede: migration, simulation models, Balkan route, European Union, policy design
Objavljeno v DKUM: 13.10.2025; Ogledov: 0; Prenosov: 5
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