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Neurological effects of endocrine disruptors
Ondráčková, Simona ; Brožka, Hana (advisor) ; Vítků, Jana (referee)
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Behavioral phenotype of APPswe/PSEN1dE9 mice model of Alzheimer's disease and a role of parvalbumin interneurons
Klausová, Tereza ; Svoboda, Jan (advisor) ; Telenský, Petr (referee)
Alzheimer's disease is a notable burden to the contemporary society concerning not only healthcare but also economy. Its aetiology remains unknown, but we know the mechanisms of pathogenesis, which allow us to create animal models (especially mice). In this thesis, we investigate the behavioral phenotype of the frequently used APPswe/PSEN1 murine model. We find that neither six-month-old nor ten-month-old animals show impairment in anxiety (open field test and elevated plus maze) or social behavior tests (three chambre test and social interaction test) compared to controls. However, the prepulse inhibition test revealed that PPI completely disappear in Alzheimer mice, indicating a significant aberration in sensorimotoric gating. The second part of this thesis focuses on a chemogenetic study of the role of parvalbumin interneurons in Alzheimer's disease and the effect of their excitation on sociability, social memory and sensorimotor gating. Here we use the aforementioned model crossed with Pv-Cre mice, which allowed us to introduce Cre-dependent DREADDs and in this group of animals we investigated social behaviour and the presence of disturbances in sensorimotor gating. However, the results obtained so far do not provide any evidence for an effect of parvalbumin interneuron excitation on animal...
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Analysis of Malware Behavior using Large Language Models
Rádsetoulal, Vlastimil ; Homoliak, Ivan (referee) ; Očenášek, Pavel (advisor)
Táto práca skúma využitie veľkých jazykových modelov (LLMs) vylepšených technikou Retrieval-Augmented Generation (RAG) pre efektívnu analýzu správania malvéru. Začína prehľadom metód analýzy malvéru, ako statických tak dynamických. Štúdia sa zameriava na využitie rámca MITRE ATT&CK na pochopenie správania malvéru veľkým jazykovým modelom. Jadro výskumu sa zameriava na architektúru a implementáciu nástroja na analýzu správania malvéru, ktorý implementuje RAG s využitím LLMs. Tento nástroj má za cieľ pomôcť profesionálom v oblasti bezpečnosti využívať možnosti generatívnej AI na interpretáciu komplexného správania malvéru. Okrem toho, výskum zahŕňa praktické nasadenie systému pre správu bezpečnostných informácií a udalostí (SIEM), pričom využíva platformu Wazuh na detekciu simulovaných útokov. Nasadenie a testovanie prebiehajú v kontrolovanom virtuálnom prostredí. Práca poukazuje na potenciál LLM modelov pri zlepšovaní opatrení v kybernetickej bezpečnosti. Práca končí diskusiou o možných vylepšeniach implementovaného nástroja.
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Robotic Model of Human Thinking, Feeling and Behaviour
Pač, Peter ; Kubát, David (referee) ; Kněžík, Jan (advisor)
The aim of this thesis is to design and create a basic model of human thinking, feeling and behaviour that is based on knowledge used mainly in the field of general and cognitive psychology. The solution is demostrated on the robot which is able to move and generate visual and acoustic effects. Thesis describe the design and implementation of this system and focuses on important functionality, interests and experimentation with constructed robot.
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System for Guarding and Securing Objects and Areas
Kuchařík, David ; Kubek, Ján (referee) ; Strnadel, Josef (advisor)
This project deals with given safeguard possibilities, both mechanical and electronic. A row house with garden was chosen for being secured. Subsequently, were elaborated two`s proposals of securing and guarding of this object. First, was based on camera`s system and second on common system ESS. Later on they were evaluated and the most considerable benefits were emphasized. A system based on control panel with connected detectors was selected upon specification. Subsequently was created a model of the chosen system, at which the required behaviour was simulated and verified. An outline of an implementation was created in the C language.
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Pictures from Life
Hanáčková, Zuzana ; Herotová, Petra (referee) ; Rathouský, Luděk (advisor)
Výslednou prací jsou kresby vyjadřující očekávání a objekty ze sádry znázorňující určité role.Objekty jsou umístěny na čtyřech černý ch soklech, velikostně zvolené podle rozměru objektu.Sokly jsou ve tvaru kvádru, které svým geometrickým tvarem určují každou pozici, fyzickou tělesnost a stabilitu.Role studenta znázorňují knihy(literatura) položené na sobě, poznámky a skici během procesu práce.Objekt pouto za roli manželky.Role matky je spjatá s venuší, kult ženskosti, plodnosti.Za roli umělkyně, jsem představila barvy, které mají symbolizovat umění. V kontextu současného umění studuji literaturu, zabývající se pojetí rolí umělkyně, ženy ve společnosti na přelomu 19, 20 století s konfrontací ze současností.Zkoumám jednotlivé pozice z hlediska psychologie, názory, pojetí uměleckého díla, filozofické eseje, úvahy a tvorbu autorek, (Barbara Sichtermann, Nancy Chodorov, Elisabeth Badinter, Antoinette Fougel, Annie Liebovitz, Susan Sontag, Annette Messager, Patricie Piccinini , Catherine Opie, Bettina Reims, Elžbieta Jablonská). Ze současné české scény se zabývají tématy mateřstvím, rodinou, a spojení umění s běžným životem autoři (Lenka Klodová, Lucie Krejčová, Martin Péč, Marek Rejent, Milena Dopitová). V oblasti psychologie zkoumám úvahy psychoanalytika Michela Schneidera, psychologa Sigmunda Freuda. O instalace uměleckého díla přemýšlím v kontextu tvorby (Denisa Lehocká, Dan Perjovschi, Francis Alys Nedko Solakov, Luboš Plný, Alice Nikitinová, Stano Filko, Dalibor Chatrný, Julius Koller).
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Using Softcomputing Techniques for User Behavior Prediction and Analysis
Šimon, Jakub ; Sopuch, Zbyněk (referee) ; Minařík, Miloš (advisor)
This Bachelor's thesis studies the possibilities of employee's behavior prediction and analysis. It uses softcomputing techniques, two types of neural networks - Multi-layer feedforward neural network with the Backpropagation algorithm, and Kohonen selforganizing map. The experiments performed on real activity records of employees are included. Part of the thesis is focused on activity records data and their characteristics. As a conclusion some basic information about the pros and cons of neural networks' use in the field of employee behavior prediction and analysis is given.
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Program Similarity Recognition Based on Behaviour Analysis
Otočka, Dávid ; Vojnar, Tomáš (referee) ; Peringer, Petr (advisor)
The goal of this master thesis was to design an algorithm that will be able to measure the difference between two programs based on their behavioral description. For the algorithm needs, the Levenshtein distance method between two strings and NCD method, were used. Both methods have their implementation approach and test result described. This term also discusses various methods of program analysis in virtual machine environment, as well as explanation of some basic concepts regarding malware analysis.
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