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    How Should I Measure Vehicle Deformation Depth?
    (SCITEPRESS, 2024-05-03) Moravcová, Pavlína; Zůvala, Robert; Bucsuházy, Kateřina
    Determination of deformation energy is an integral part of the accident analysis. Deformation energy could be expressed by parameter EES, which could directly enter the calculation or serve as a control parameter. To determine the EES parameter, it is necessary to know the depth of plastic deformation. There is a lack of standardization in the process of deformation profile determination, because several mathematical models focus on the deformation profile according to established procedures, or the deformation depth is measured along the entire width of the deformation using evenly spaced points. Equal spacing of measurement points can be an unnecessary restriction when documenting traffic accident on accident scene. In the presented article, the differences between equal and non-equal spacing of measurement points and the subsequent influence on the EES calculation are analyzed. Statistical analysis confirmed that equal non-equal distribution of measurement points does not cause significant differences in the determined EES value, so equal spacing is not required. The non-equal spacing could better approximate the deformation profile including subsequent calculation of the EES value, when following certain rules.
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    Řízení rizik vybraných prvků kritické dopravní infrastruktury
    (Czech Technical University in Prague, 2022-09-22) Procházková, Danuše; Procházka, Jan; Martincová, Jana Victoria; Kertis, Tomáš
    Pro plnění základních funkcí státu je bezpečnost kritické infrastruktury zásadní, a proto ji musí být věnována pozornost. Dopravní infrastruktura patří do kritické infrastruktury. Její prvky: mosty; tunely; nádraží; letiště; a řízení jejich provozu, jsou zásadně důležité. Článek shrnuje zásady pro řízení rizik zmíněných prvků kritické dopravní infrastruktury založený na systémovém pojetí a respektující socio-kyberfyzickou povahu prvků a složitost systémů v dynamicky se vyvíjejícím světě.
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    Lumbar Interbody Fusion Conducted on a Porcine Model with a Bioresorbable Ceramic/Biopolymer Hybrid Implant Enriched with Hyperstable Fibroblast Growth Factor 2
    (MDPI, 2021-06-25) Krtička, Milan; Plánka, Ladislav; Vojtová, Lucy; Nekuda, Vladimír; Šťastný, Přemysl; Sedláček, Radek; Břínek, Adam; Kavková, Michaela; Göpfert, Eduard; Hedvičáková, Věra; Rampichová, Michaela; Křen, Leoš; Lišková, Květoslava; Ira, Daniel; Matulová, Jana; Suchý, Tomáš; Zikmund, Tomáš; Kaiser, Jozef; Starý, David; Faldyna, Martin; Trunec, Martin
    An experimental animal study was designed to investigate the intervertebral fusion efficiency and safety of a bioresorbable ceramic/biopolymer hybrid implant enriched with FGF2-STAB(R) in comparison with a tricortical bone autograft used as a gold standard. Twenty-four experimental pigs underwent L2/3 discectomy with implantation of either the tricortical iliac crest bone autograft or the bioresorbable hybrid implant (BHI) followed by lateral intervertebral fixation. The quality of spinal fusion was assessed by micro-computed tomography (micro-CT), biomechanical testing, and histological examination at both 8 and 16 weeks after the surgery.
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    Augusta: From RNA-Seq to Gene Regulatory Networks and Boolean Models
    (Elsevier, 2024-01-20) Musilová, Jana; Vafek, Zdeněk; Punyia, Bhanwar; Zimmer, Ralf; Helikar, Tomáš; Sedlář, Karel
    Computational models of gene regulations help to understand regulatory mechanisms and are extensively used in a wide range of areas, e.g., biotechnology or medicine, with significant benefits. Unfortunately, there are only a few computational gene regulatory models of whole genomes allowing static and dynamic analysis due to the lack of sophisticated tools for their reconstruction. Here, we describe Augusta, an open-source Python package for Gene Regulatory Network (GRN) and Boolean Network (BN) inference from the high-throughput gene expression data. Augusta can reconstruct genome-wide models suitable for static and dynamic analyses. Augusta uses a unique approach where the first estimation of a GRN inferred from expression data is further refined by predicting transcription factor binding motifs in promoters of regulated genes and by incorporating verified interactions obtained from databases. Moreover, a refined GRN is transformed into a draft BN by searching in the curated model database and setting logical rules to incoming edges of target genes, which can be further manually edited as the model is provided in the SBML file format. The approach is applicable even if information about the organism under study is not available in the databases, which is typically the case for non-model organisms including most microbes. Augusta can be operated from the command line and, thus, is easy to use for automated prediction of models for various genomes. The Augusta package is freely available at github.com/JanaMus/Augusta. Documentation and tutorials are available at augusta.readthedocs.io.
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    Characterization of GaAs Solar Cells under Supercontinuum Long-Time Illumination
    (MDPI, 2021-01-19) Papež, Nikola; Dallaev, Rashid; Kaspar, Pavel; Sobola, Dinara; Škarvada, Pavel; Ţălu, Ştefan; Ramazanov, Shikhgasan; Nebojsa, Alois
    This work is dedicated to the description of the degradation of GaAs solar cells under continuous laser irradiation. Constant and strong exposure of the solar cell was performed over two months. Time-dependent electrical characteristics are presented. The structure of the solar cells was studied at the first and last stages of degradation test. The data from Raman spectroscopy, reflectometry, and secondary ion mass spectrometry confirm displacement of titanium and aluminum atoms. X-ray photoelectron spectroscopy showed a slight redistribution of oxygen bonds in the anti-corrosion coating.