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Technological challenges in the fabrication of MoS.sub.2./sub./diamond heterostructures
Varga, Marián ; Sojková, M. ; Hrdá, J. ; Hutar, P. ; Parsa Saeb, S. ; Vanko, G. ; Pribusova Slusna, L. ; Ondič, Lukáš ; Fait, Jan ; Kromka, Alexander ; Hulman, M.
Nowadays, 2D materials are one of the most studied classes of materials. In addition to the most famous graphene, progress has been achieved in studying and using fundamental properties of transition metal dichalcogenides (TMD). Complementary, diamond as a representative of 3D materials has gained a reputation as an extremely versatile material due to its extraordinary combination of physical/chemical/electrical/optical properties. Besides these particular forms of 2D and 3D materials, their heterostructures have become very attractive due to new phenomena and functions (bandgap engineering, enhanced charge transport, optical interaction, etc.). However, individual technological procedures are still minimally investigated and described. Here, we will demonstrate a proof-of-concept for the preparation of MoS2/diamond heterostructures, where two different strategies were employed: a) growth of MoS2 layers on diamond films, and b) growth of diamond films on Si/MoS2 substrates.
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Analytical Derivatization for Identification of Electrochemical Oxidation Products of Fentanyls
Barták, P. ; Skopalová, J. ; Jerga, R. ; Štolbová, D. ; Navrátil, Tomáš ; Langmaier, Jan
Analytical derivatization and GC-MS analysis were employed for the identification of main\nproducts from the electrochemical oxidation of fentanyl derivatives. Chemical derivatization\nprovides proof of the chemical reactivity of functional groups in oxidation products and serves\nfor the chemical conversion of target compounds into the second series of derivatives to confirm\nthe identification of particular products. Using the direct GC-MS analysis of oxidation products,\nderivatization of aldehydes with cysteamine and derivatization of amides by acidic hydrolysis\nand subsequent reaction with ethylchloroformiate, phenylacetaldehyde, and Nphenylpropanamide\nwere unambigously identified as oxidation products from fentanyl,\nthiophen-2-ylacetaldehyde, and N-phenylpropanamide from sufentanil, and\nphenylacetaldehyde and 2-furanilid from furanylfentanyl.
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Possibilities of Response to Contagious Diseases in EU law: critical assessment and recommendations in the light of the COVID-19 pandemics
Malíř, Jan ; Svobodová, M. ; Křepelka, F. ; Mádr, P. ; Peterka, B.
The present report, the principal output of the TAČR project No TL04000052, critically analyses the possibilities for an EU response to contagious diseases, as they stem from existing EU law and, also, from the new legislative drafts, in particular those related to the European Health Union project. On the grounds of this analysis, further steps are recommended that would be appropriate in the light of the experience of the Covid-19 pandemic, in particular in the area of the division of competences between the EU and the Member States, in the area of early warning and response, in the area of building strategic autonomy, in the area of movement of people at the EU's internal and external borders and in the area of movement of goods.
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Development and implementation of 3D geometry extraction method for topological optimization
Šotola, M. ; Rybanský, D. ; Maršálek, P. ; Halama, R. ; Kopačka, Ján ; Ježek, Ondřej ; Gabriel, Dušan ; Tejc, J. ; Pašek, M. ; Kovář, L.
This research report TN01000024/08-V012 is an output of the subtask of the project TN1000024/08 Automation and production system optimization, one of the objectives of which is to develop methods of post-processing of topological optimization (TO) results in cooperation with MECAS ESI Ltd. Three different smoothing approaches are discussed: the Taubin method, volume representation using radial basis functions and smoothing by remeshing using the Netgen library.
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Stabilization for optical receiver
Kolka, Z. ; Barcík, P. ; Novotný, Jan ; Biolková, V.
Free-Space Optics (FSO) is a wireless optical technology for line-of-sight communications. The front of the receiving optical fiber is located at the focus of the telescope. The relatively small diameter of the core puts extreme demands on receiver pointing under atmospheric turbulences and mounting bracket vibrations. To ensure stability, the beam is stabilized by a fine positioning system. A detection unit evaluates the position of the centre of the laser spot using photodiodes and compensates for deviations by changing the mirror angle.
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Analysis of vibration of rotors with a thick rigid disc on the overhanging end supported by hydrodynamic bearings and loaded by uncertain unbalance effects
Zapoměl, Jaroslav ; Ferfecki, P. ; Molčan, M. ; Kozánek, Jan
Rotors of some rotating machines consist of a shaft and a rigid disc attached to its overhanging end. Because of manufacturing and assembling inaccuracies, the disc is unbalanced. In general case, the disc principal axis of inertia deviates from the shaft axis (both axes are skew lines) and the disc center of gravity is not situated on the shaft center line. Then the disc inertia effects are the source inducing the rotor lateral vibration. As magnitude of parameters specifying the disc unbalance is uncertain, application of an adequate method is required to perform the analysis. In addition, if the rotor is supported by hydrodynamic bearings, their nonlinear properties lead to rising complexity of the system vibration and to reducing its predictability. In the presented paper, the motion equation of a rigid disc has been derived. The shaft was represented by a beam body that was discretized into finite elements. The stiffness and damping parameters of the hydrodynamic bearings were linearized in vicinity of the rotor equilibrium position. Then vibration of the rotor is governed by a set of linearized motion equations. The fuzzy numbers were applied to consider uncertainty of the disc unbalance parameters. The presented procedure provides the approach to computational analysis of rotating machines with the rotor having a disc attached to its overhanging end and the geometrical, mechanical, or technological parameters of which have uncertain values.
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Electron beam welding of AlCoCrFeNi2.1 eutectic high-entropy alloy
Rončák, Ján ; Adam, O. ; Müller, P. ; Zobač, Martin
Eutectic high-entropy alloys have become a significantly studied type of material due to their combination of strength and ductility. However, previous research has focused primarily on manufacture, solidification behaviour and mechanical properties. Only a small part of the research has been devoted to welding. This paper is focused on evaluating the weldability of eutectic high-entropy alloy AlCoCrFeNi2.1 in the as-cast state without further heat treatment. The electron beam welding process was performed twice at the same parameters, except for the beam current. Properties such as the depth of the remelted layer, the formation of the heat-affected zone, and the presence of undesirable defects in the welded joints were observed using light and electron microscopy. At the same time, material properties in the form of microstructural stability, chemical composition, and hardness of the welded joints were evaluated.
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On kernel-based nonlinear regression estimation
Kalina, Jan ; Vidnerová, P.
This paper is devoted to two important kernel-based tools of nonlinear regression: the Nadaraya-Watson estimator, which can be characterized as a successful statistical method in various econometric applications, and regularization networks, which represent machine learning tools very rarely used in econometric modeling. This paper recalls both approaches and describes their common features as well as differences. For the Nadaraya-Watsonestimator, we explain its connection to the conditional expectation of the response variable. Our main contribution is numerical analysis of suitable data with an economic motivation and a comparison of the two nonlinear regression tools. Our computations reveal some tools for the Nadaraya-Watson in R software to be unreliable, others not prepared for a routine usage. On the other hand, the regression modeling by means of regularization networks is much simpler and also turns out to be more reliable in our examples. These also bring unique evidence revealing the need for a careful choice of the parameters of regularization networks
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Application Of Implicitly Weighted Regression Quantiles: Analysis Of The 2018 Czech Presidential Election
Kalina, Jan ; Vidnerová, P.
Regression quantiles can be characterized as popular tools for a complex modeling of a continuous response variable conditioning on one or more given independent variables. Because they are however vulnerable to leverage points in the regression model, an alternative approach denoted as implicitly weighted regression quantiles have been proposed. The aim of current work is to apply them to the results of the second round of the 2018 presidential election in the Czech Republic. The election results are modeled as a response of 4 demographic or economic predictors over the 77 Czech counties. The analysis represents the first application of the implicitly weighted regression quantiles to data with more than one regressor. The results reveal the implicitly weighted regression quantiles to be indeed more robust with respect to leverage points compared to standard regression quantiles. If however the model does not contain leverage points, both versions of the regression quantiles yield very similar results. Thus, the election dataset serves here as an illustration of the usefulness of the implicitly weighted regression quantiles.
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