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Pseudomonas aeruginosa jako původce močových infekcí
ŽÁČEK, Jakub
This bachelor thesis deals with the microbiological laboratory diagnosis of urinary bacterial infections, with an emphasis on the gram-negative bacterium Pseudomonas aeruginosa. This bacterium is known for its high resistance and is often found as a causative agent of urinary infections in immunocompromised patients. The theoretical part of this bachelor thesis describes the structure of the urinary system, bacterial urinary infections as a whole, and the bacterium Pseudomonas aeruginosa itself. The methodological part, conducted in the microbiology section of the SYNLAB České Budějovice laboratory, subsequently describes the procedures for processing urine samples for bacteriological examination, including sampling, transport, and sample reception, pre-cultivation screening, and cultivation methods. Furthermore, methods of identification based on the biochemical properties of bacteria and identification using MALDI-TOF are described. Also included in the methodological part is the determination of bacterial sensitivity to antimicrobial agents using the disc diffusion method. The results obtained from the laboratory information system for the periods of November and December 2023 and January 2024 are evaluated and compared with the results of other authors. This work serves to verify the methods used and emphasizes the use of modern methods in the diagnosis of bacterial urinary infections.
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Evaluation of Investment Risks Using Fuzzy Logic
Žáček, Jakub ; Janková, Zuzana (referee) ; Dostál, Petr (advisor)
The diploma thesis deals with the evaluation of an investment using fuzzy logic for a specific company. With the help of the created decision-making models, the company will be able to efficiently and quickly evaluate which investment brings the highest benefit. These models follow the criteria that are most important to the company when deciding on an investment. The work also contains theoretical background, which serves as a basis for creating and evaluating models.
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Evaluation of Investment Risks Using Fuzzy Logic
Žáček, Jakub ; Janková, Zuzana (referee) ; Dostál, Petr (advisor)
The diploma thesis deals with the evaluation of an investment using fuzzy logic for a specific company. With the help of the created decision-making models, the company will be able to efficiently and quickly evaluate which investment brings the highest benefit. These models follow the criteria that are most important to the company when deciding on an investment. The work also contains theoretical background, which serves as a basis for creating and evaluating models.
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