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Conservation genetics of grey wolf and snow leopard: effect of landscape attributes to the population structure
Benešová, Markéta ; Hulva, Pavel (advisor) ; Kreisinger, Jakub (referee)
Landscape genetic approaches allow to study effects of landscape to population microevolution. Landscape can influence gene flow even in large carnivores with good dispersal ability. Understanding the influence of landscape to the gene flow between populations is crucial for species conservation, especially in the species with low population densities. Aim of the study was to describe genetic structure of the grey wolf (Canis lupus) and snow leopard (Panthera uncia) in selected areas and to determine the influence of the landscape features on observed structure. Non-invasive genetic samples of snow leopard from Nepal were analysed, as well as invasive and non-invasive samples of grey wolf from Central Europe. Population structure was determined a posteriori using Bayesian clustering approaches that integrate genetic and geographical data, and compared to landscape connectivity models. Population structure of snow leopards is mostly influenced by human presence and presence of frequented roads, which represent a substantial dispersal barrier. Habitat suitable for this species is greatly restricted by altitude, however, during dispersal they are able to overcome areas with higher elevation than what is optimal for them. Pronounced genetic difference was found between central European and Carpathian...
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European air hubs in the context of network and its resistance against disturbances
Šulc, David ; Marada, Miroslav (advisor) ; Kraft, Stanislav (referee)
EUROPEAN AIR HUBS IN THE CONTEXT OF NETWORK AND ITS RESISTANCE AGAINST DISTURBANCES Abstract The submitted master thesis is addressing the theme of connectivity of European Air Transport Network, its properties and resistance against negative influences based on data from flight schedules for winter season 2018. The main objective of the thesis is to analyse European Air Transport Network from the point of connectivity in order to find out the most important airport hubs according to their geographic conditions, community structure and resistance of the whole network. Used methods are based on the Graph Theory and the centrality measures as indicators of connectivity. The empiric part of the thesis is divided into three parts. The aim of the first part is to find out, what airports are the most important in the European Air Transport Network. In the second part are explored properties and structure of the network. The last part is aiming to analyse the resistance of the European Air Transport Network from the view of robustness and resilience. Among the most important air hubs in Europe belong airports, that are serving world cities and tourist attractive localities. There is a strong dominance of the Schiphol airport in Amsterdam, the El Prat airport in Barcelona and the Frankfurt Airport. The European Air...
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EEG correlates of neurodegenerative disorders
Schlezingerová, Nicol ; Telenský, Petr (advisor) ; Kelemen, Eduard (referee)
Due to the aging of the population, there is an increasing incidence of neurodegenerative diseases. In clinical practice there is a need to for a cheap and noninvasive method for screening and early diagnosis of neurodegenerative disorders. To this end, markers of disease progression and prognosis must be determined. EEG correlates provide information that can be used in the diagnosis and prognosis of neurodegenerative disorders. Individual diseases have their specific EEG abnormalities that are closely related to different stages of the disease. Individual illnesses - Alzheimer's disease, Parkinson's disease, Huntington's disease have their specific changes in the basic rhythms of the brain that correlate with motor and cognitive changes. This work focuses on the quantitative (qEEG) correlates of the above-mentioned diseases. Key words: brain, neural activity, EEG, quantitative EEG analysis, biomarker, connectivity, neurodegeneration, Alzheimer's disease, Parkinson's disease, Huntington's disease.
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Design conditions for a polygon specializing in autonomous vehicles
Trhlík, Tomáš ; Mazáč, Jan (referee) ; Hýzl, Petr (advisor)
The aim of this diploma thesis is the research of building polygons for the testing of autonomous vehicles, from the point of view of road technology and also designing aspects. In the thesis are mentioned 9 most important world test polygons and their description of design parameters. There are described particular stages of automation from foreign organizations which are concerned with research and development in the automotive industry. In addition, there are described basic advanced driver assistance systems and connectivity between vehicles and infrastructure. Conclusion also contains the assessment of existing aerodrome test areas for autonomous vehicles.
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ISP Network Optimalization
Čech, Ondřej ; Podermański, Tomáš (referee) ; Grégr, Matěj (advisor)
Bachoelor's thesis is focusing on analysis of network local ISP, detecting actual problems and offering a solution for founded problems. There were problems with broadcast-storm, private address space, RSTP protocol settings and DHCP spoofing. The following changes were introduced: OSPF routing, RSTP override, automatic backup, client separation using DHCP. There has been a reduction in broadcast traffic and associated broadcast-storm.
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Conservation genetics of grey wolf and snow leopard: effect of landscape attributes to the population structure
Benešová, Markéta ; Hulva, Pavel (advisor) ; Kreisinger, Jakub (referee)
Landscape genetic approaches allow to study effects of landscape to population microevolution. Landscape can influence gene flow even in large carnivores with good dispersal ability. Understanding the influence of landscape to the gene flow between populations is crucial for species conservation, especially in the species with low population densities. Aim of the study was to describe genetic structure of the grey wolf (Canis lupus) and snow leopard (Panthera uncia) in selected areas and to determine the influence of the landscape features on observed structure. Non-invasive genetic samples of snow leopard from Nepal were analysed, as well as invasive and non-invasive samples of grey wolf from Central Europe. Population structure was determined a posteriori using Bayesian clustering approaches that integrate genetic and geographical data, and compared to landscape connectivity models. Population structure of snow leopards is mostly influenced by human presence and presence of frequented roads, which represent a substantial dispersal barrier. Habitat suitable for this species is greatly restricted by altitude, however, during dispersal they are able to overcome areas with higher elevation than what is optimal for them. Pronounced genetic difference was found between central European and Carpathian...
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The influence of changes of land cover on connectivity of fluvial processes in catchment
Kofroňová, Jitka ; Langhammer, Jakub (advisor) ; Kliment, Zdeněk (referee)
The connectivity of fluvial processes or hydrological connectivity are terms often used to describe internal linkages in landscape that intensify/reduce water and sediment fluxes as well as the substances they contain. It is based on the concept of landscape connectivity defined, in particular, by fragmentation of landscape and barriers that obstruct the movement of material. While researches focusing on water erosion or runoff focus on the volume of different fluxes, connectivity reveals new information on catchment functioning as well as reactions to various types of stimuli, and thus represents a more complex phenomenon. This master thesis informs about the topic as a whole, it describes the main forms of its modelling and specific influences that have major impact on presented results. Three approaches of modelling were tested. The main concept lies in evaluation of the index of connectivity, firstly, with approach proposed by Borselli et al. (2008) and implemented in software ArcGIS and secondly, in software SedInConnect 2.0. The third approach is modelling connectivity in software LAPSUS 5.0 that belongs to landscape evolution models. Modelling in LAPSUS proved that using even this indirect method for evaluation of hydrological connectivity is a suitable approach. Selected area for modelling...
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The influence of deep brain stimulation on the brain connectivity
Horváthová, Ľubica ; Výtvarová, Eva (referee) ; Klimeš, Petr (advisor)
Hĺbková mozgová stimulácia (DBS) predstavuje účinnú liečbu pre pacientov s Parkinsonovou chorobou (PD) alebo farmakorezistentnou epilepsiou. Avšak mechanizmy, ktorými znižuje počet záchvatov a zlepšuje pohyb, zostávajú ešte do značnej miery neznáme. Pre lepšie pochopenie a určenie, v ktorých frekvenčných pásmach je zmena najdôležitejšia, boli urobené porovnania medzi vypnutou a zapnutou DBS pomocou korelačnej metódy a indexu fázového posunu. Jedenásť pacientov s PD a naimplantovanými neurostimulátormi z firiem Medtronic a St.Jude Medical bolo predmetom nahraných dát použitých v tejto práci. Výsledky dokazujú, že zmena konektivity počas DBS nastane a zároveň, že najviac ovplyvňuje najvyššie frekvencie ako beta, nízka gama a vysoká gama. Zmeny v týchto frekvenciách, zodpovedné za motorickú aktivitu, sústredenie a spracovanie informácií, sú v súlade s klinickou teóriou o PD. Počas tejto choroby je patologická beta aktivita hypersynchronizovaná a gama aktivita je znížená práve v motorických oblastiach. Ak sa gama aktivita počas zapnutej stimulácie zvyšuje, fyziologický stav pacientov sa čiastočne znovuobnovuje a tým zlepšuje ich hybnosť. Metódy a výsledky tejto práce budú použité pre ďalší výskum pacientov s PD a epilepsiou.
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A system for monitoring the quality of connectivity
Vyskočil, Vladimír ; Peterka, Jiří (advisor) ; Děcký, Martin (referee)
The aim of the theses is to design a methodology for centralized monitoring of data traffic in an ISP network that would detect individual connection with connectivity problems, and evaluate these problems. The methodology should at least evaluate packet loss and latency between a centrally located monitoring point and endpoints at user premises. A further goal is to implement this methodology, test it and evaluate the results.
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