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    17604 research outputs found

    Simulacije molekulske dinamike fluoriranega etanola

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    Simulacija naravnega širjenja borove ogorčice v Sloveniji 2000-2100

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    Projekt SPOZNAJ

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    Molekularna diagnostika pri folikularnih neoplazmah ščitnice

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    Induced matching vs edge open packing: trees and product graphs

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    Given a graph GG, the maximum size of an induced subgraph of GG each component of which is a star is called the edge open packing number, rhoeo(G)rho_{e}^{o} (G), of GG. Similarly, the maximum size of an induced subgraph of GG each component of which is the star K1,1K_{1,1} is the induced matching number, nuI(G)nu_I(G), of GG. While the inequality rhoeo(G)genuI(G)rho_{e}^{o}(G)ge nu_I(G) clearly holds for all graphs GG, we provide a structural characterization of those trees that attain the equality. We prove that the induced matching number of the lexicographic product GcircHGcirc H of arbitrary two graphs GG and HH equals alpha(G)nuI(H)alpha(G)nu_I(H). By similar techniques, we prove sharp lower and upper bounds on the edge open packing number of the lexicographic product of graphs, which in particular lead to NP-hardness results in triangular graphs for both invariants studied in this paper. For the direct product GtimesHGtimes H of two graphs we provide lower bounds on nuI(GtimesH)nu_I(Gtimes H) and rhoeo(GtimesH)rho_{e}^{o} (Gtimes H), both of which are widely sharp. We also present sharp lower bounds for both invariants in the Cartesian and the strong product of two graphs. Finally, we consider the edge open packing number in hypercubes establishing the exact values of rhoeo(Qn)rho_{e}^{o} (Q_n) when nn is a power of 22, and present a closed formula for the induced matching number of the rooted product of arbitrary two graphs over an arbitrary root vertex

    Orodja za pretvorbo formatov in drugi pripomočki

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    Javne politike odprte znanosti

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    Odprta znanost v Evropskem raziskovalnem prostoru

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    Protein stacking on the APTES-functionalized pyrochlore ▫Bi2Ru2O7Bi_2Ru_2O_7▫ clusters for ultrasensitive and selective immunosensing

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    With their unique physicochemical properties, such as metallic-like conductivity, favorable (electro)catalytic properties, electrochemical stability, and ease of functionalization, pyrochlores have found applications in various fields such as solid oxide fuel cells, batteries, thick film resistors, and temperature sensorshowever, there are no reports on their application in electrochemical immunosensing. In this study, we exploited the (electro)catalytic nature and stability of the pyrochlore Bi2Ru2O7 clusters silanized with (3-aminopropyl)triethoxysilane (APTES) to demonstrate their potential for the effective stacking of functional proteins. Characterization of the clusters by XPS disclosed a dual environment of Bi, also indicating the presence of Bi2O3 alongside APTES-Bi2Ru2O7 clusters and, importantly, the predominant involvement of pyrochlore moieties in subsequent protein stacking. After stacking protein A and antibodies, the immunosensor revealed a nearly interference-free operation, high sensitivity, a detection limit of 118 fM SARS-CoV-2 spike protein, and operation in a wide examined concentration range of 10−5−10−1 μg mL−1 with an r2 of 0.98. In combination with a short incubation time of 30 min, the pyrochlore-based immunosensor provides a solid platform for future point-of-need applications

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