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Quantitative analysis of Scratch assay and Colony formation assay data using MATLAB
Ingrová, Kateřina ; Chmelíková, Larisa ; Zumberg, Inna
Utilizing Scratch and Colony formation assays is crucial for understanding cell migration and proliferation dynamics. In this study, we present novel approaches utilizing MATLAB for the processing of images obtained from these assays. We demonstrate the effectiveness of our approaches through validation experiments on human osteosarcoma SaOS-2 cells, showcasing their applicability across different experimental conditions. Moreover, the inhibitory effect of two concentrations of gentamicin (0.1 mg/ml, 0.3 mg/ml) on the migration and clonogenicity of SaOS-2 cells was declared.
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Assessing Diversity in Predictive Equations for Body Compartment Estimation
Kampo, Dávid
This paper evaluates the validity of prediction equations for estimating total body water (TBW), extracellular water (ECW), fat-free mass (FFM), and body cell mass (BCM) using bioelectrical impedance analysis (BIA). The study focuses on a sample of 10 Czech individuals of European ethnicity. Prediction equations were selected based on similarity to the study population and were compared to reference ranges for accuracy. Findings show promising outcomes for TBW estimation, with low relative errors (RE) of 0.11% and -3.26% for equations by Deurenberg et al. and Kotler et al. respectively. Matias et al.’s equation for ECW estimation demonstrated the most accurate results with an RE of 2.13%. For FFM estimation, equations by Lukaski et al. and Deurenberg et al. showed favorable outcomes with RE values of 4.4% and -1.27% respectively. However, none of the BCM prediction equations provided satisfactory accuracy. Further research with larger sample sizes is needed for more accurate validation. Nonetheless, this study offers valuable insights into selecting appropriate prediction equations for BIAbased body composition analysis.
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LSTM-Based Autoencoders in Online Handwriting Data Augmentation and Preprocessing
Gavenciak, Michal
On-line handwriting analysis is a research field that is among others used in assessment of handwriting difficulties (HD), which can be manifestations of degenerative brain diseases such as Parkinson’s disease in the elderly, or developmental dysgraphia in children. Using advanced modelling approaches or artificial intelligence is often difficult because of the limited data availability in both demographic cohorts. In this article, a data processing approach, using LSTM-based autoencoders, is described as a way of augmenting the database with semisynthetic data or preprocessing the data to improve the performance of feature-based classification. The proposed method has led to a 3 percentage point increase in classification accuracy when compared to baseline. While the improvement is marginal, it highlights another possible area of research to improve the efficacy of automated HD assessment.
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Bacterial Identifier: Accelerating Bacterial Genome Detection
Nejezchlebová, Julie ; Rychlík, Ivan ; Schwarzerová, Jana
Bacterial identification is crucial for effectively monitoring and controlling the spread of infectious diseases. In addressing this critical need, our study introduces an engineered application designed to expedite the analysis of bacterial sequencing data, thus providing a streamlined method for species identification. The Bacterial Identifier underwent thorough testing using a significant dataset obtained from the Veterinary Research Institute. Central to the app's functionality is the integration of three essential tools. Implemented through a cohesive bash script, these tools are seamlessly combined to ensure optimal performance and accuracy in bacterial identification. Furthermore, to enhance user experience, a userfriendly interface was developed using Python 3, facilitating intuitive navigation and efficient utilization of the application's capabilities.
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Implementation of LTE Cat-M Technology for Smart Measurement Scenarios
Tamentsev, Viacheslav
The requirements introduced in Directive 2019/944 of the European Parliament for smart metering scenarios, which differ from the ones defined in ITU-R M.2410, accelerated the integration of cellular technologies for the Internet of Things (IoT). With the release of cellular IoT (CIoT) technologies in the Czech Republic, recently LTE Cat-M, the focus shifts towards evaluating the performance in massive scenarios where thousands of devices are connected to one base station. This paper examines the feasibility of implementing LTE Cat-M communication technology in Network Simulator 3 (NS-3) to cover massive Machine-Type Communication (mMTC). The paper analyzes the capabilities of cellular modules within the selected simulation tool Networks Simulator 3 (NS-3), including the LENA module. First, simulation scenarios are created to validate and benchmark the performance of legacy LTE/LTE-A networks with attention to (mMTC) scenarios. The key output is the determination that the 4G networks are unsuitable for these scenarios. Further, based on the obtained data, the initial discussion on the requested implementation to support the LTE Cat-M in the NS-3 is provided, pointing out the exact changes associated with the physical layer.
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Evaluating BPL Communication: A Simulation Approach
Baranyk, Matěj ; Benešl, Lukáš ; Rusz, Martin
In recent years BPL (Broadband over Power-line) technology is becoming more used. Despite the technology not needing any additional cable installation it is important to make sure that using the technology itself makes sense or what the needed requirements will be. Due to this reason, we opt to simulate almost real scenarios and compare them with outputs from network simulator ns-3. This way we can recognize the usefulness of our efforts even before we make any plans to install anything, which saves time and money. Furthermore, we can use the same simulator for diagnostics of already installed BPL routes.
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Quality of life in adults with severe from of the autism spectrum disorder - regional comparison
Tuzarová, Romana ; Bártová, Alžběta (advisor) ; Cooke, Dana (referee)
The present text is focused on analysing the quality of life of adults with severe forms of autism spectrum disorders in important aspects of their lives. We devote 3 chapters to awareness of autism spectrum disorders, descriptions and analysis of important aspects in the lives of persons with severe forms of autism spectrum disorders, as well as the analysis of the self-perceived quality of life of these persons and their parents or direct care takers. The results of the analysis offer answers to the questions, where the essential aspects of the lives of adults with severe autism spectrum disorders are diminished or at risk.
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Novel structures with a potential to inhibit FLT3 receotir: In vitro evaluation using AML cell lines
Zídková, Anna ; Čečková, Martina (advisor) ; Jirkovský, Eduard (referee)
Charles University Faculty of Pharmacy in Hradec Králové Department of Pharmacology & Toxicology Student: Anna Zídková Supervisor: doc. PharmDr. Martina Čečková, Ph.D. Consultant: Mgr. Jan Rataj Title of diploma thesis: Novel structures with a potential to inhibit the FLT3 receptor: In vitro evaluation using AML cell lines Acute myeloid leukemia (AML) is a rapidly progressing hematologic malignancy, characterized by the proliferation and accumulation of immature myeloblasts in the bone marrow and peripheral blood. Despite significant achievements, treatment outcomes remain unsatisfactory. Mutations in the FLT-3 (FMS-like tyrosine kinase 3) gene are detected in up to one-third of patients with newly diagnosed AML, contributing to the poor prognosis of the disease. FLT-3 inhibitors thus represent a new approach to targeted therapy. Although they have only recently been introduced into therapy, resistance to them is already being developed by leukemic cells, often resulting in treatment failure. In this study, we aimed to test 8 newly synthesized compounds as potential FLT-3 inhibitors and to evaluate their possible contribution in overcoming resistance to the clinically used FLT-3 inhibitor gilteritinib. Using the MTT method, the ability of these compounds to induce cell death was tested in the...
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The Influence of Neurotraining on Post-Concussion Syndrome in a Football Player - A Case Study
Crkalová, Monika ; Křivánková, Markéta (advisor) ; Daďová, Klára (referee)
Title: Effect of neurotraining on post-concussion syndrome in a football player - a case report Aims: The aim of this study is to analyse the effectiveness of neurotraining for alleviating the symptoms of post-concussion syndrome using a case study of an adult football player after concussion. Methods: The case-control study used the test, re-test technique. The standardized SCAT5 questionnaire, neuroimaging system testing using optotype, prismatic flipper 6/12, Neurotracker, RightEye and Senaptec Sensory Station were used to assess changes in the effectiveness of the method. Stability measurements were performed using the Physics Toolbox Sensor Suite and, for cognitive function, the Stroop effect. Next, a neurodiagnostic was performed, based on which the proband was selected to perform neurotraining exercises for two months (visual system and mechanoreception were tested). Results: The proband improved in visual acuity by 20 %, vergence flexibility by 44 %, neurocognitive function by 44 %, reaction time by 29 %, depth of field binocularly by 12 %, visualization by 6 % and improved on the neurotracker by 0.3. There was a slight deterioration in left eye accommodation and binocularity by 5 %, depth of field in the right eye by 1 %, in the left eye by 4 %, and in the transition of focus from long...
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The difference in the perception of health care due to gender
Vojta, Filip ; Angelovská, Olga (advisor) ; Kotherová, Zuzana (referee)
Termíny pro podávání projektů bakalářských / diplomových prací bakalářské studijní programy SOSP, SOSA, SOC_SSS a SOC_SA magisterský studijní program SOC 30. 6. Zaslání projektů na sekretariát Katedry sociologie (projekty.ks.iss@fsv.cuni.cz). 5. 9. Vyrozumění studentů o přijetí či nepřijetí projektů. 30. 9. Zaevidování projektů bakalářských a diplomových prací v SISu. Postup při zadávání a schvalování projektu bakalářské / diplomové práce 1. Vyplňte následující formulář. 2. Soubor uložte pod jménem "studijní program_kód semináře_příjmení, jméno" (SOSP_BCA_Černá, Jana; SOC_MGRB_Černý, Jan). Soubor zašlete ze své fakultní emailové adresy na sekretariát Katedry sociologie ISS FSV UK: projekty.ks.iss@fsv.cuni.cz; v kopii projekt zašlete na fakultní emailovou adresu vedoucího vaší bakalářské / diplomové práce. Projekty zaslané z jiné než fakultní adresy a / nebo bez uvedení vedoucího práce v kopii, nebudou přijaty. 3. Po schválení projektu jej ve spolupráci s vedoucím práce zadejte do SISu. V případě neschválení projektu celý proces opakujte. ................................................................................................... Projekt bakalářské / diplomové práce Jméno a příjmení studujícího: Filip Vojta Studijní program: Sociologie a sociální politika Předpokládaný název práce: Rozdíl vnímání...
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