National Repository of Grey Literature 25,982 records found  previous11 - 20nextend  jump to record: Search took 1.10 seconds. 

Multi-functional composites with integrated nanostructured carbon nanotubes based sensing films
Slobodian, P. ; Pertegás, S.L. ; Schledjewski, R. ; Matyáš, J. ; Olejník, R. ; Říha, Pavel
Carbon nanotubes are exceptional nano-objects with respect to their remarkable properties, holding great potential in new polymeric materials design with unique characteristics. To illustrate it, the conventional glass reinforced epoxy composite is combined with a layer of entangled network of carbon nanotubes deposited on polyurethane non-woven membrane. The prepared nano-composite is studied for their diverse mjulti-functional applications involving extension and compression strain sensing composite, remoulding by means of resistance Joule heating and radiating as a planar micro strip antenna operating at frequencies of 2MHz up to 4GHz.

STRAIN ENGINEERING OF THE ELECTRONIC STRUCTURE OF 2D MATERIALS
del Corro, Elena ; Peňa-Alvarez, M. ; Morales-García, A. ; Bouša, Milan ; Řáhová, Jaroslava ; Kavan, Ladislav ; Kalbáč, Martin ; Frank, Otakar
The research on graphene has attracted much attention since its first successful preparation in 2004. It possesses many unique properties, such as an extreme stiffness and strength, high electron mobility, ballistic transport even at room temperature, superior thermal conductivity and many others. The affection for graphene was followed swiftly by a keen interest in other two dimensional materials like transition metal dichalcogenides. As has been predicted and in part proven experimentally, the electronic properties of these materials can be modified by various means. The most common ones include covalent or non-covalent chemistry, electrochemical, gate or atomic doping, or quantum confinement. None of these methods has proven universal enough in terms of the devices' characteristics or scalability. However, another approach is known mechanical strain/stress, but experiments in that direction are scarce, in spite of their high promises.\nThe primary challenge consists in the understanding of the mechanical properties of 2D materials and in the ability to quantify the lattice deformation. Several techniques can be then used to apply strain to the specimens and thus to induce changes in their electronic structure. We will review their basic concepts and some of the examples so far documented experimentally and/or theoretically.

HYDROGEN ABSORPTION IN A-Co30Fe55B15
Čermák, Jiří ; Král, Lubomír ; Roupcová, Pavla
Hydrogen solved in amorphous alloys (AAs) influences their magnetic characteristics. AAs are also perspective\nas additives that can improve hydrogen storage kinetic in certain types of ball-milled hydrogen storage\nmaterials (HSMs). Therefore, knowledge of hydrogen solubility and hydrogen sorption kinetics in AAs are of a\ngreat importance for aimed design both AAs with optimal magnetic parameters and HSMs with desired sorption\ncharacteristics. In the present paper, amorphous alloy Co30Fe55B15 (an example of the type a-TM1xTM2y Bz ;\nTM - transition metal) was investigated. Hydrogen concentration c H was measured by Sieverts method in\ntemperature interval from T = 150 °C to T = 350 °C under hydrogen pressure p up to 6 MPa. It was found that\nc H was an increasing function of p and its maximum value was typically 0.5 wt.% H2 at 350 °C and 6 MPa.\nHowever, when the alloy was preliminary hydrogen charged (PHC), the pressure dependence of total c Htot in\nthe first absorption cycle(s) is non-monotonous in dependence on PHC conditions. For the sake of comparison,\nthe same absorption characteristics were measured also in Mg2Ni intermetallic that is a common constituent\nin Mg-based HSMs. Comparing Co30Fe55B15 and Mg2Ni, it was concluded that Co30Fe55B15 shows lower\nhydrogen solubility, but much better absorption kinetics.

Parallel single-cell analysis of active caspase-3/7 in apoptotic and non-apoptotic cells
Ledvina, Vojtěch ; Klepárník, Karel
Caspases are proteases that play key role in the process of apoptosis, the programmed\ncell death. Among them, caspase-3 and -7 are main executioner caspases that cleave\nmany vital proteins during apoptosis and after their widespread activation, the process\ncannot be reversed. To analyze caspase-3/7 activation within single cells, a miniaturized\ndevice for parallel analysis of eight samples was developed. The assay is based on the\nmodified luciferin-firefly luciferase bioluminescence (BL) system. Individual\nsuspended cells were collected and transferred into detection microvials using a\nmicromanipulator. The bioluminescence was detected using a photon counting head\nwith cooled photcathode. The LOD suitable for detection of active caspase-3/7 in both\napoptotic and non-apoptotic cells was reached.

Comparative evaluation of protein composition in human breast cancer cells using mass spectrometry
Flodrová, Dana ; Toporová, L. ; Macejová, D. ; Laštovičková, Markéta ; Brtko, J. ; Bobálová, Janette
Bottom-up proteomic approach was used for detailed characterization of proteins from\ntwo human tumour cell lines representing major clinically different types of breast\ncancer. The aim was to show the differences between them on proteomic level. Here\nwe present almost 100 unequivocally identified proteins out of which 60 were mutually\ndifferently expressed for MDA-MB-231 and MCF-7. Some well-known breast cancer\nmarkers like annexins A1, A2 and vimentin were found in the MDA-MB-231 cell line.\nOn the other hand, MCF-7 cells were found to be positive for cytokeratins and keratins\nand thus we were able to distinguish both cell lines sufficiently.

Cut Languages in Rational Bases
Šíma, Jiří ; Savický, Petr
We introduce a so-called cut language which contains the representations of numbers in a rational base that are less than a given threshold. The cut languages can be used to refine the analysis of neural net models between integer and rational weights. We prove a necessary and sufficient condition when a cut language is regular, which is based on the concept of a quasi-periodic power series. We show that any cut language with a rational threshold is context-sensitive while examples of non-context-free cut languages are presented.
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Neural Networks Between Integer and Rational Weights
Šíma, Jiří
The analysis of the computational power of neural networks with the weight parameters between integer and rational numbers is refined. We study an intermediate model of binary-state neural networks with integer weights, corresponding to finite automata, which is extended with an extra analog unit with rational weights, as already two additional analog units allow for Turing universality. We characterize the languages that are accepted by this model in terms of so-called cut languages which are combined in a certain way by usual string operations. We employ this characterization for proving that the languages accepted by neural networks with an analog unit are context-sensitive and we present an explicit example of such non-context-free languages. In addition, we formulate a sufficient condition when these networks accept only regular languages in terms of quasi-periodicity of parameters derived from their weights.
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Characterization of Submicron Aerosol in Prague by Source Apportionment Analysis of Combined AMS Data.
Makeš, Otakar ; Vodička, Petr ; Schwarz, Jaroslav ; Ždímal, Vladimír
PM1 non-refractory chemical composition and concentration was measured by Aerodyne Compact Time-of-Flight Aerosol Mass Spectrometer (AMS) during two six weeks long summer and winter campaigns in 2012-2013. The retrieved highly time resolved data were analyzed using the SoFi graphical user interface that is developed by Paul Scherrer Institute (Canonaco et al., 2013) and is running under IGOR software (WaveMetrics).
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Effect of snowpack on runoff generation during rain on snow event.
Juras, Roman ; Máca, Petr (advisor) ; Ladislav , Ladislav (referee)
During a winter season, when snow covers the watershed, the frequency of rain-on-snow (ROS) events is still raising. ROS can cause severe natural hazards like floods or wet avalanches. Prediction of ROS effects is linked to better understanding of snowpack runoff dynamics and its composition. Deploying rainfall simulation together with hydrological tracers was tested as a convenient tool for this purpose. Overall 18 sprinkling experiments were conducted on snow featuring different initial conditions in mountainous regions over middle and western Europe. Dye tracer brilliant blue (FCF) was used for flow regime determination, because it enables to visualise preferential paths and layers interface. Snowpack runoff composition was assessed by hydrograph separation method, which provided appropriate results with acceptable uncertainty. It was not possible to use concurrently these two techniques because of technical reasons, however it would extend our gained knowledge. Snowmelt water amount in the snowpack runoff was estimated by energy balance (EB) equation, which is very efficient but quality inputs demanding. This was also the reason, why EB was deployed within only single experiment. Timing of snowpack runoff onset decrease mainly with the rain intensity. Initial snowpack properties like bulk density or wetness are less important for time of runoff generation compared to the rain intensity. On the other het when same rain intensity was applied, non-ripe snowpack featuring less bulk density created runoff faster than the ripe snowpack featuring higher bulk density. Snowpack runoff magnitude mainly depends on the snowpack initial saturation. Ripe snowpack with higher saturation enabled to generate higher cumulative runoff where contributed by max 50 %. In contrary, rainwater travelled through the non-ripe snowpack relatively fast and contributed runoff by approx. 80 %. Runoff prediction was tested by deploying Richards equation included in SNOWPACK model. The model was modified using a dual-domain approach to better simulate snowpack runoff under preferential flow conditions. Presented approach demonstrated an improvement in all simulated aspects compared to the more traditional method when only matrix flow is considered.

Design of Experiment for Non-Stationary Processes of Production
Jadrná, Monika ; Macák, Tomáš (advisor)
The doctoral thesis is concerned with the services sector and the area of mass production. Particularly, the optimization of the product portfolio of the travel agency and the optimization of production rounds of ammunition. The theoretical part deals with the current overview of discussed topic. Further, the terminology and methods of the decision-making process are defined to support decision making. The theoretical basis of research focused on the choice of appropriate input variables in the area of services, and on the choice of a particular material option in the production area and appropriate equipment for the production. The theoretical part forms the basis for the practical part of the thesis. For the doctoral thesis was chosen an enterprise operating in the defined sector. Product portfolio for the services sector is optimised using Fuzzy logic and Fuzzy sets so that the enterprise can maintain its competitiveness in todays highly ambitious market. Product portfolio for manufacture is optimised for achieving desired properties of the product. The main aim of the thesis is to propose a new methodological approach for the management of selected business processes in their nonstationary time course. The aim of the practical implementation is to verify the functionality of the proposed methodological approach, both in the area of services and in the field of mass production.