This diploma thesis is focused on optimalization and employing the PCR-RFLP method, based on the molecular biology principles, for an identification and taxonomy of the yeasts which colonize the leaf surfaces. Simultaneously the yeasts identification techniques based on physiological and morfphological attributes are compared and replaced. PCR-RFLP takes advantage of thermostable polymerases´ ability to amplify the specific segment in the rDNA, which can be split by restriction endonucleases to characteristical polymorphical fragments. Comparing these fragments and restriction´s positions which are for each species unique, demanded results were obtained. They´re summarized in the conclusion part. The theoretical part describes the morphology and cytology of the yeasts, taxonomy as a science, genuses of examined yeasts Cryptococcus, Rhodotorula a Saccharomyces are covered more thoroughly and the method of PCR-RFLP is described in detail.

This diploma thesis has analyzed the effect of organic wine-growing on the wine yeasts population. The wine yeasts were isolated from the Pinot Noir variety. They were identified by the molecular biological method PCR-RFLP. The theoretical research compiles basic information on yeasts, knowledge about the red wine production as well as information on molecular biological methods. The experimental part utilizes the 5,8S-ITS rDNA specific segment for analysis. The segment was amplified using the ITS1 and ITS4 primers and subjected to restriction analysis. The restriction analysis has used these restriction endonucleases - HaeIII, HinfI, Taq?I, AluI and MseI. The BioNumerics software was then used to compare genetic similarity between the isolated yeasts and these were taxonomically classified.

The aim of this diploma thesis is the identification of yeasts isolated during grape must fermentation. The must was obtained from Pinot Noir varieties grown in an integrated and organic production. The partner of this thesis was a winery Holánek. In the theoretical part of the work was the emphasis on information about the determinants quality of wine, yeasts and PCR-RFLP method. Physiological properties of yeasts were described and also the principles of the polymerase chain reaction (PCR) were explained. In the experimental part of the thesis was applied molecular biology method PCR-RFLP for identification of yeasts. The specific segment of DNA was amplified (5, 8S-ITS rDNA sequencing) with the help of ITS1 and ITS4 primers. The incurred amplicons were digested by applying restriction endonucleases: HaeIII, HinfI and TaqI. Subsequently the restriction fragments were analysed by using of electrophoresis. The yeasts were identified and classified by taxonomy on the level of genera and species.

This diploma thesis focuses on isolation and taxonomic classification of yeast species isolated during the red wine (Pinot noir) fermentation. Grapes were grown under organic and integrated farming in South Moravia wine region, Czech Republic. Processing was controlled – for inoculation was used strain Saccharomyces cerevisiae BS6. Polymerase chain reaction followed by restriction fragment lenght polymorphism of PCR-amplified fragments (PCR-RFLP) was used for yeast species identification. For DNA analysis we used coding region of 5.8S ITS rDNA which was amplified using ITS1-ITS4 primers. Amplicon was digested by three restriction endonucleases - HaeIII, HinfI and HhaI. Isolates were divided into eleven groups using UPGMA cluster analysis (software BioNumerics). We identified following yeast species: Candida valida, Candida vini, Issatchenkia occidentalis, Pichia fermentans, Saccharomyces cerevisiae and Zygosaccharomyces bailii. We were not able to identify some yeast species. Differences between organic and integrated farming were demonstrated with varying composition of yeast species.

This thesis deals with identification of yeasts by applying the RFLP-PCR method. Objective of the thesis was to identify the yeasts present in wine from Grüner Veltliner during fermentation. Identification was made by amplification of 5,8S-ITS sequences of DNA by the polymerase chain reaction with primers ITS1 and ITS4. Amplified DNA was submitted to the restriction analysis by restriction endonuclease HaeIII, HinfI and HhaI. By restriction analysis with a specific enzyme, the amplified DNA is chopped into the specific fragments which are characteristic for given kind of yeasts. In the analysed wine, the dominance of autochthonal yeast Saccharomyces cerevisiae was confirmed throughout fermentation. The other identified yeasts in the wine were of kind Pichia. The second part of the thesis was to expand the database by characterization of 28 type-yeasts, using RFLP-PCR analysis. To compare the genetic similarity, program BioNumerics was used, which processed the results of UPGMA cluster analysis using Jaccard´s coefficients.

The aim of this thesis is the isolation and identification of yeasts obtained from the wine berries and the characterization of the collection yeast by using processes of PCR - RFLP. The type yeasts were obtained from the collection of yeasts of CCY in Bratislava, yeasts from the wine berries were collected from the species of Hibernal wine from the wineries of Štěpán Maňák. Identification of individual yeast is then based on analysis of the DNA segment in the area of 5,8S - ITS using primers ITS1 and ITS4. The restriction analysis was performed using restriction endonucleases HaeIII, HinfI, HhaI a TaqI(a). Restriction analysis is used to chopp the DNA to specific sections that are characteristic for each microorganism. For the assesment of the genetic similarity analyzed yeasts the BioNumerics software has been used. BioNumerics processes the results using cluster analysis using Jaccard´s coefficients.

The solution of the motion detection system with the parallel radio identification on the same channel/carrier. The work is based on the RF sensor from ALPS Electric (product still in development phase), which works as an RF motion sensor and a digital transceiver as well. System can differenitiate general moving object from an object with active key. First part of this work describes the sensor module and the internal Nordic nRF24LE1 transciever (physical layer). Design of packet based communication protocol which does not influence motion sensing (communication layer) is discussed. Next part consist of FW design of application and identification protocol for sensor and key (application layer) and reference HW design of the active key. There are series of tests in every section.

This master's thesis deals with fingerprint verification. The theoretical part consist of biometry identification systems and evaluating their reliability and robustness. After that we focus on fingerprints properties needed to identification. We mention several types of fingerprint sensors, which are generaly in public use. In practical part of thesis we deal with enhancement of fingeprint image and methods of identifications. At last we created software for fingeprint identification in programming environment Matlab.

Smell plays a vital role in our daily lives and influences the way we perceive the world around us. People have the excellent ability to detect and distinguish odors, but they usually have difficulty in identifying individual odors. Olfactory abilities (olfactory identification, olfactory detection and olfactory discrimination) also differ significantly interindividually. In general, however, women achieve better results. While a number of studies point to sex differences in olfactory perception, especially in the identification of odors, we need to understand sex only as an overarching concept that includes specific factors such as hormonal influences or different odor experiences that can actually influence olfactory abilities. One of them could be verbal fluency, which allows us to recall information from memory, as there are studies showing the link between the ability to identify odors and verbal fluency. The main aim of the thesis was to test whether the difference between males and females in the identification of odors is mediated by a sex difference in verbal fluency. The secondary aim of the thesis was to explore whether the connection of odor identification and verbal fluency varies according to which form of verbal fluency is tested (phonetic or semantic), and whether these tests can be...

Lorencová, K., Consumer behaviour on the market of non-alcoholic beverages. Diploma thesis. Brno: Mendel University, 2019. This diploma thesis deals with consumer behaviour on the market of non-alcoholic beverages in the Czech Republic. Thesis examines consumer behaviour, the Czech and foreign markets of non-alcoholic beverages, determines the development of consumption of non-alcoholic beverages, preferences, attitudes and opinions of consumers. It primarily focuses on identifying the factors that affect consumers most in a given market. Techniques that are used in the thesis are marketing research, namely questionnaire survey (n = 503) and cluster analysis. The output of this thesis is the determination of the main factors influencing consumer behaviour in the non-alcoholic beverages market, which are previous experience associated with the taste of the drink, reduced price and quality. Another output is segment characteristics and suggestions for sellers of non-alcoholic beverages to increase their sales.