991. Pedagoški leksikon : izbrani temeljni pojmi2025, scientific terminological dictionary, encyclopaedia or topical lexicon Abstract: Pedagoški leksikon je avtorska obravnava pojmov, ki izhajajo iz pedagoške tradicije, kakor tudi sodobnejših oz. za slovenski prostor prepoznanih relevantnih pojmov s področja vzgoje in izobraževanja. V tej obliki ima leksikon enotno strukturo, ki odraža njegov temeljni namen kot strokovne publikacije ter predstavlja historično-problemsko obravnavo temeljnih pojmov vzgoje in izobraževanja v obliki daljših recenziranih sestavkov, ki upoštevajo načela znanstvenega pisanja. Vsako geslo ima tridelno zasnovo: 1) Opis pojma, kjer so v sumarni obliki predstavljeni pomen pojma, njegova najbolj uveljavljena definicija na širšem področju vzgoje in izobraževanja, nato še etimologija in uveljavljena raba v tujih jezikih; 2) Leksikonska razlaga, ki predstavlja osrednji del gesla ter vključuje historično in problemsko obravnavo pojma kot rezultata njegovega prenosa iz različnih miselnih ter kulturnih tradicij tako na ravni tematiziranja širšega družbeno-političnega konteksta, ki je sooblikoval nastanek pojma, kot tudi v smislu prikaza ožjih disciplinarnih zamejitev njegove rabe ter posebej relevantnih vidikov pojma na področju vzgoje in izobraževanja v slovenskem prostoru; 3) Viri, ki vključujejo seznam najtemeljnejših in najrelevantnejših del, na katerih temelji geslo. Posebna pozornost je v tem okviru namenjena vključevanju morebitnih slovenskih prevodov in del v slovenskem jeziku.
Keywords: vzgoja in izobraževanje, pedagoške vede, leksikoni, priročniki
Published in DiRROS: 24.09.2025; Views: 294; Downloads: 163
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994. Raziskovanje v vzgoji in izobraževanju : Umetna inteligenca v vzgoji in izobraževanju2025, not set Abstract: Umetna inteligenca (UI) predstavlja eno izmed osrednjih tehnoloških prelomnic sodobnega časa, saj preoblikuje številna področja družbenega življenja – od zdravstva, gospodarstva, transporta, varnosti do komunikacije in vsakdanjih storitev. V zadnjih letih UI postaja vse prisotnejša tudi v vzgoji in izobraževanju, kjer odpira širok nabor novih možnosti, priložnosti in hkrati dilem, povezanih z njenim vključevanjem v učne procese, pedagoške odnose in institucionalne strukture izobraževalnega sistema. V tem kontekstu je nastala tudi pričujoča monografija, ki združuje teoretske in empirične prispevke slovenskih raziskovalcev ter praktikov s področja izobraževanja, osvetljuje raznolike vidike UI v vzgoji in izobraževanju ter predstavlja dragocen korak v smeri razvoja domače raziskovalne misli na tem področju. Monografija ponuja vpogled v aktualna vprašanja in študije primerov, povezuje mednarodne trende z lokalnimi specifikami ter spodbuja refleksijo o vlogi slovenskega izobraževalnega sistema v digitalno transformirani družbi. S tem odpira prostor za nadaljnji dialog med raziskovalci, učitelji, oblikovalci politik in drugimi deležniki, ki sooblikujejo prihodnost izobraževanja.
Keywords: učitelji, izobraževalna tehnologija
Published in DiRROS: 24.09.2025; Views: 320; Downloads: 108
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996. Design and implementation of the SRT control at the Ljubljana WWTPDarko Vrečko, Nadja Hvala, Rok Babič, 2025, original scientific article Abstract: he solid retention time (SRT) is one of the most important parameters for the operation of a wastewater treatment plant (WWTP). Maintaining the SRT at the prescribed set-point is necessary to achieve an appropriate food-to-microorganism (F/M) ratio. This article describes the design and implementation of SRT control at the Ljubljana WWTP. The designed SRT control wastes a defined proportion of the mixed liquor suspended solid (MLSS) mass in the aerobic reactors. The sludge wasted from the secondary settlers is determined based on measurements of the MLSS concentration, waste sludge concentration, and waste sludge flow rate. The SRT control is simple and does not require an SRT estimation or an SRT feedback controller. It includes a constraining controller that keeps the MLSS in the aerobic reactors within the prescribed minimum and maximum values. Validation of the designed SRT control on a mathematical model of the Ljubljana WWTP shows better set-point tracking than the proportional integral (PI) SRT control, as well as reduced SRT variations and lower ammonia nitrogen concentrations compared to the initial MLSS control. The testing of the designed SRT control at the Ljubljana WWTP confirmed the set-point tracking and reduced SRT variations despite large influent variations and operational disturbances.
Keywords: waste sludge control, solid retention time
Published in DiRROS: 23.09.2025; Views: 267; Downloads: 117
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997. Water-based pharmacophore modeling in kinase inhibitor design : a case study on fyn and lyn protein kinasesMartin Ljubič, Marija Sollner Dolenc, Jure Borišek, Andrej Perdih, 2025, original scientific article Abstract: Water-based pharmacophore modeling is an emerging approach in inhibitor design that leverages the dynamics of explicit water molecules within ligand-free, water-filled binding sites to derive 3D pharmacophores for virtual screening. In this study, we assess the potential of this strategy through a case study targeting the ATP binding sites of Fyn and Lyn protein kinases─members of the Src family that have been less explored in anticancer drug discovery compared to other family members. Molecular dynamics simulations of multiple kinase structures were used to generate and validate several water-derived pharmacophores, which were subsequently employed to screen chemically diverse libraries of compounds. Two active compounds were identified in biochemical assays: a flavonoid-like molecule with low-micromolar inhibitory activity and a weaker inhibitor from the library of nature-inspired synthetic compounds. Structural analysis via molecular docking and simulations revealed that key predicted interactions, particularly with the hinge region and the ATP binding pocket, were retained in the bound states of these hits. However, interactions with more flexible regions, such as the N-terminal lobe and activation loop, were less consistently captured. These findings outline both the strengths and challenges of using water-based pharmacophores: while effective at modeling conserved core interactions, they may miss peripheral contacts governed by protein flexibility. Incorporating ligand information where available may help address this challenge. Overall, water-based pharmacophore modeling presents a promising ligand-independent strategy for identifying novel chemotypes and exploring undercharged chemical and conformational space in kinases as well as other therapeutically relevant targets.
Keywords: drug discovery, inhibitors, ligands, peptides, proteins, pharmacophores
Published in DiRROS: 23.09.2025; Views: 277; Downloads: 144
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998. Spreading in claw-free cubic graphsBoštjan Brešar, Jaka Hedžet, Michael A. Henning, 2025, original scientific article Abstract: Let $p\in\mathbb{N}$ and $q\in\mathbb{N}\cup\{\infty\}$. We study a dynamic coloring of the vertices of a graph $G$ that starts with an initial subset $S$ of blue vertices, with all remaining vertices colored white. If a white vertex $v$ has at least $p$ blue neighbors and at least one of these blue neighbors of $v$ has at most $q$ white neighbors, then by the spreading color change rule the vertex $v$ is recolored blue. The initial set $S$ of blue vertices is a $(p,q)$-spreading set for $G$ if by repeatedly applying the spreading color change rule all the vertices of $G$ are eventually colored blue. The $(p,q)$-spreading set is a generalization of the well-studied concepts of $k$-forcing and $r$-percolating sets in graphs. For $q\ge2$, a $(1,q)$-spreading set is exactly a $q$-forcing set, and the $(1,1)$-spreading set is a $1$-forcing set (also called a zero forcing set), while for $q=\infty$, a $(p,\infty)$-spreading set is exactly a $p$-percolating set. The $(p,q)$-spreading number, $\sigma_{(p,q)}(G)$, of $G$ is the minimum cardinality of a $(p,q)$-spreading set. In this paper, we study $(p,q)$-spreading in claw-free cubic graphs. While the zero-forcing number of claw-free cubic graphs was studied earlier, for each pair of values $p$ and $q$ that are not both $1$ we either determine the $(p,q)$-spreading number of a claw-free cubic graph $G$ or show that $\sigma_{(p,q)}(G)$ attains one of two possible values.
Keywords: bootstrap percolation, zero forcing set, k-forcing set, spreading
Published in DiRROS: 23.09.2025; Views: 226; Downloads: 110
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999. Luminescent sensing of Hg²⁺ ions using MOF-808 combined with ▫$Au_ {25}$▫@BSA nanoclustersLudovico Giuseppe Barbata, Matjaž Mazaj, Romy Ettlinger, Giuseppe Ficarra, Pietro Castronovo, Alice Sciortino, Fabrizio Messina, Russell E. Morris, Gianpiero Buscarino, 2025, original scientific article Published in DiRROS: 23.09.2025; Views: 314; Downloads: 129
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