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Chovancova</title> <meta name="description" content="Search results for: Frederika Chovancova"> <meta name="keywords" content="Frederika Chovancova"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Frederika Chovancova"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 6</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Frederika Chovancova</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6</span> Zinc Nanoparticles Modified Electrode as an Insulin Sensor</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Radka%20Gorejova">Radka Gorejova</a>, <a href="https://publications.waset.org/abstracts/search?q=Ivana%20Sisolakova"> Ivana Sisolakova</a>, <a href="https://publications.waset.org/abstracts/search?q=Jana%20Shepa"> Jana Shepa</a>, <a href="https://publications.waset.org/abstracts/search?q=Frederika%20Chovancova"> Frederika Chovancova</a>, <a href="https://publications.waset.org/abstracts/search?q=Renata%20Orinakova"> Renata Orinakova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Diabetes mellitus (DM) is a serious metabolic disease characterized by chronic hyperglycemia. Often, the symptoms are not sufficiently observable at early stages, and so hyperglycemia causes pathological and functional changes before the diagnosis of the DM. Therefore, the development of an electrochemical sensor that will be fast, accurate, and instrumentally undemanding is currently needful. Screen-printed carbon electrodes (SPCEs) can be considered as the most suitable matrix material for insulin sensors because of the small size of the working electrode. It leads to the analyst's volume reduction to only 50 µl for each measurement. The surface of bare SPCE was modified by a combination of chitosan, multi-walled carbon nanotubes (MWCNTs), and zinc nanoparticles (ZnNPs) to obtain better electrocatalytic activity towards insulin oxidation. ZnNPs were electrochemically deposited on the chitosan-MWCNTs/SPCE surface using the pulse deposition method. Thereafter, insulin was determined on the prepared electrode using chronoamperometry and electrochemical impedance spectroscopy (EIS). The chronoamperometric measurement was performed by adding a constant amount of insulin in 0.1 M NaOH and PBS (2 μl) with the concentration of 2 μM, and the current response of the system was monitored after a gradual increase in concentration. Subsequently, the limit of detection (LOD) of the prepared electrode was determined via the Randles-Ševčík equation. The LOD was 0.47 µM. Prepared electrodes were studied also as the impedimetric sensors for insulin determination. Therefore, various insulin concentrations were determined via EIS. Based on the performed measurements, the ZnNPs/chitosan-MWCNTs/SPCE can be considered as a potential candidate for novel electrochemical sensor for insulin determination. Acknowledgments: This work has been supported by the projects Visegradfund project number 22020140, VEGA 1/0095/21 of the Slovak Scientific Grant Agency, and APVV-PP-COVID-20-0036 of the Slovak Research and Development Agency. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=zinc%20nanoparticles" title="zinc nanoparticles">zinc nanoparticles</a>, <a href="https://publications.waset.org/abstracts/search?q=insulin" title=" insulin"> insulin</a>, <a href="https://publications.waset.org/abstracts/search?q=chronoamperometry" title=" chronoamperometry"> chronoamperometry</a>, <a href="https://publications.waset.org/abstracts/search?q=electrochemical%20impedance%20spectroscopy" title=" electrochemical impedance spectroscopy"> electrochemical impedance spectroscopy</a> </p> <a href="https://publications.waset.org/abstracts/134209/zinc-nanoparticles-modified-electrode-as-an-insulin-sensor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134209.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">122</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5</span> The Effect of Precipitation on Weed Infestation of Spring Barley under Different Tillage Conditions </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=J.%20Winkler">J. Winkler</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Chovancov%C3%A1"> S. Chovancová</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The article deals with the relation between rainfall in selected months and subsequent weed infestation of spring barley. The field experiment was performed at Mendel University agricultural enterprise in Žabčice, Czech Republic. Weed infestation was measured in spring barley vegetation in years 2004 to 2012. Barley was grown in three tillage variants: conventional tillage technology (CT), minimization tillage technology (MT), and no tillage (NT). Precipitation was recorded in one-day intervals. Monthly precipitation was calculated from the measured values in the months of October through to April. The technique of canonical correspondence analysis was applied for further statistical processing. 41 different species of weeds were found in the course of the 9-year monitoring period. The results clearly show that precipitation affects the incidence of most weed species in the selected months, but acts differently in the monitored variants of tillage technologies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=weeds" title="weeds">weeds</a>, <a href="https://publications.waset.org/abstracts/search?q=precipitation" title=" precipitation"> precipitation</a>, <a href="https://publications.waset.org/abstracts/search?q=tillage" title=" tillage"> tillage</a>, <a href="https://publications.waset.org/abstracts/search?q=weed%20infestation%20forecast" title=" weed infestation forecast"> weed infestation forecast</a> </p> <a href="https://publications.waset.org/abstracts/13194/the-effect-of-precipitation-on-weed-infestation-of-spring-barley-under-different-tillage-conditions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13194.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">499</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> Effect of Tillage Technology on Species Composition of Weeds in Monoculture of Maize</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Svetlana%20Chovancova">Svetlana Chovancova</a>, <a href="https://publications.waset.org/abstracts/search?q=Frantisek%20Illek"> Frantisek Illek</a>, <a href="https://publications.waset.org/abstracts/search?q=Jan%20Winkler"> Jan Winkler</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The effect of tillage technology of maize on intensity of weed infestation and weed species composition was observed at experimental field. Maize is grown consecutively since 2001. The experimental site is situated at an altitude of 230 m above sea level in the Czech Republic. Variants of tillage technology are CT: plowing – conventional tillage 0.22 m, MT: loosening – disc tillage on the depth of 0.1 – 0.12 m, NT: direct sowing – without tillage. The evaluation of weed infestation was carried out by numerical method in years 2012 and 2013. Within the monitoring were found 20 various species of weeds. Conventional tillage (CT) primarily supports the occurrence of perennial weeds (Cirsium arvense, Convolvulus arvensis). Late spring species (Chenopodium album, Echinochloa crus-galli) were more frequently noticed on variants of loosening (MT) and direct sowing (NT). Different tillage causes a significant change of weed species spectrum in maize. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=weeds" title="weeds">weeds</a>, <a href="https://publications.waset.org/abstracts/search?q=maize" title=" maize"> maize</a>, <a href="https://publications.waset.org/abstracts/search?q=tillage" title=" tillage"> tillage</a>, <a href="https://publications.waset.org/abstracts/search?q=loosening" title=" loosening"> loosening</a>, <a href="https://publications.waset.org/abstracts/search?q=direct%20sowing" title=" direct sowing"> direct sowing</a> </p> <a href="https://publications.waset.org/abstracts/13184/effect-of-tillage-technology-on-species-composition-of-weeds-in-monoculture-of-maize" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13184.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">473</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Pressure Losses on Realistic Geometry of Tracheobronchial Tree</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Michaela%20Chovancova">Michaela Chovancova</a>, <a href="https://publications.waset.org/abstracts/search?q=Jakub%20Elcner"> Jakub Elcner</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Real bronchial tree is very complicated piping system. Analysis of flow and pressure losses in this system is very difficult. Due to the complex geometry and the very small size in the lower generations is examination by CFD possible only in the central part of bronchial tree. For specify the pressure losses of lower generations is necessary to provide a mathematical equation. Determination of mathematical formulas for calculating the pressure losses in the real lungs is due to its complexity and diversity lengthy and inefficient process. For these calculations is necessary the lungs to slightly simplify (same cross-section over the length of individual generation) or use one of the models of lungs. The simplification could cause deviations from real values. The article compares the values of pressure losses obtained from CFD simulation of air flow in the central part of the real bronchial tree with the values calculated in a slightly simplified real lungs by using a mathematical relationship derived from the Bernoulli equation and continuity equation. Then, evaluate the desirability of using this formula to determine the pressure loss across the bronchial tree. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pressure%20gradient" title="pressure gradient">pressure gradient</a>, <a href="https://publications.waset.org/abstracts/search?q=airways%20resistance" title=" airways resistance"> airways resistance</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20geometry%20of%20bronchial%20tree" title=" real geometry of bronchial tree"> real geometry of bronchial tree</a>, <a href="https://publications.waset.org/abstracts/search?q=breathing" title=" breathing"> breathing</a> </p> <a href="https://publications.waset.org/abstracts/27498/pressure-losses-on-realistic-geometry-of-tracheobronchial-tree" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27498.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">323</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> The Pressure Losses in the Model of Human Lungs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Michaela%20Chovancova">Michaela Chovancova</a>, <a href="https://publications.waset.org/abstracts/search?q=Pavel%20Niedoba"> Pavel Niedoba</a> </p> <p class="card-text"><strong>Abstract:</strong></p> For the treatment of acute and chronic lung diseases it is preferred to deliver medicaments by inhalation. The drug is delivered directly to tracheobronchial tree. This way allows the given medicament to get directly into the place of action and it makes rapid onset of action and maximum efficiency. The transport of aerosol particles in the particular part of the lung is influenced by their size, anatomy of the lungs, breathing pattern and airway resistance. This article deals with calculation of airway resistance in the lung model of Horsfield. It solves the problem of determination of the pressure losses in bifurcation and thus defines the pressure drop at a given location in the bronchial tree. The obtained data will be used as boundary conditions for transport of aerosol particles in a central part of bronchial tree realized by Computational Fluid Dynamics (CFD) approach. The results obtained from CFD simulation will allow us to provide information on the required particle size and optimal inhalation technique for particle transport into particular part of the lung. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20lungs" title="human lungs">human lungs</a>, <a href="https://publications.waset.org/abstracts/search?q=bronchial%20tree" title=" bronchial tree"> bronchial tree</a>, <a href="https://publications.waset.org/abstracts/search?q=pressure%20losses" title=" pressure losses"> pressure losses</a>, <a href="https://publications.waset.org/abstracts/search?q=airways%20resistance" title=" airways resistance"> airways resistance</a>, <a href="https://publications.waset.org/abstracts/search?q=flow" title=" flow"> flow</a>, <a href="https://publications.waset.org/abstracts/search?q=breathing" title=" breathing "> breathing </a> </p> <a href="https://publications.waset.org/abstracts/19141/the-pressure-losses-in-the-model-of-human-lungs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19141.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">356</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Modeling Competition Between Subpopulations with Variable DNA Content in Resource-Limited Microenvironments</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Parag%20Katira">Parag Katira</a>, <a href="https://publications.waset.org/abstracts/search?q=Frederika%20Rentzeperis"> Frederika Rentzeperis</a>, <a href="https://publications.waset.org/abstracts/search?q=Zuzanna%20Nowicka"> Zuzanna Nowicka</a>, <a href="https://publications.waset.org/abstracts/search?q=Giada%20Fiandaca"> Giada Fiandaca</a>, <a href="https://publications.waset.org/abstracts/search?q=Thomas%20Veith"> Thomas Veith</a>, <a href="https://publications.waset.org/abstracts/search?q=Jack%20Farinhas"> Jack Farinhas</a>, <a href="https://publications.waset.org/abstracts/search?q=Noemi%20Andor"> Noemi Andor</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Resource limitations shape the outcome of competitions between genetically heterogeneous pre-malignant cells. One example of such heterogeneity is in the ploidy (DNA content) of pre-malignant cells. A whole-genome duplication (WGD) transforms a diploid cell into a tetraploid one and has been detected in 28-56% of human cancers. If a tetraploid subclone expands, it consistently does so early in tumor evolution, when cell density is still low, and competition for nutrients is comparatively weak – an observation confirmed for several tumor types. WGD+ cells need more resources to synthesize increasing amounts of DNA, RNA, and proteins. To quantify resource limitations and how they relate to ploidy, we performed a PAN cancer analysis of WGD, PET/CT, and MRI scans. Segmentation of >20 different organs from >900 PET/CT scans were performed with MOOSE. We observed a strong correlation between organ-wide population-average estimates of Oxygen and the average ploidy of cancers growing in the respective organ (Pearson R = 0.66; P= 0.001). In-vitro experiments using near-diploid and near-tetraploid lineages derived from a breast cancer cell line supported the hypothesis that DNA content influences Glucose- and Oxygen-dependent proliferation-, death- and migration rates. To model how subpopulations with variable DNA content compete in the resource-limited environment of the human brain, we developed a stochastic state-space model of the brain (S3MB). The model discretizes the brain into voxels, whereby the state of each voxel is defined by 8+ variables that are updated over time: stiffness, Oxygen, phosphate, glucose, vasculature, dead cells, migrating cells and proliferating cells of various DNA content, and treat conditions such as radiotherapy and chemotherapy. Well-established Fokker-Planck partial differential equations govern the distribution of resources and cells across voxels. We applied S3MB on sequencing and imaging data obtained from a primary GBM patient. We performed whole genome sequencing (WGS) of four surgical specimens collected during the 1ˢᵗ and 2ⁿᵈ surgeries of the GBM and used HATCHET to quantify its clonal composition and how it changes between the two surgeries. HATCHET identified two aneuploid subpopulations of ploidy 1.98 and 2.29, respectively. The low-ploidy clone was dominant at the time of the first surgery and became even more dominant upon recurrence. MRI images were available before and after each surgery and registered to MNI space. The S3MB domain was initiated from 4mm³ voxels of the MNI space. T1 post and T2 flair scan acquired after the 1ˢᵗ surgery informed tumor cell densities per voxel. Magnetic Resonance Elastography scans and PET/CT scans informed stiffness and Glucose access per voxel. We performed a parameter search to recapitulate the GBM’s tumor cell density and ploidy composition before the 2ⁿᵈ surgery. Results suggest that the high-ploidy subpopulation had a higher Glucose-dependent proliferation rate (0.70 vs. 0.49), but a lower Glucose-dependent death rate (0.47 vs. 1.42). These differences resulted in spatial differences in the distribution of the two subpopulations. Our results contribute to a better understanding of how genomics and microenvironments interact to shape cell fate decisions and could help pave the way to therapeutic strategies that mimic prognostically favorable environments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=tumor%20evolution" title="tumor evolution">tumor evolution</a>, <a href="https://publications.waset.org/abstracts/search?q=intra-tumor%20heterogeneity" title=" intra-tumor heterogeneity"> intra-tumor heterogeneity</a>, <a href="https://publications.waset.org/abstracts/search?q=whole-genome%20doubling" title=" whole-genome doubling"> whole-genome doubling</a>, <a href="https://publications.waset.org/abstracts/search?q=mathematical%20modeling" title=" mathematical modeling"> mathematical modeling</a> </p> <a href="https://publications.waset.org/abstracts/162686/modeling-competition-between-subpopulations-with-variable-dna-content-in-resource-limited-microenvironments" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162686.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">73</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational 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