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Analysis of selected physiological parameters of athletes during exercise
Ambrožová, Monika ; Kolářová, Jana (referee) ; Ronzhina, Marina (advisor)
Regular sport activity is considered as neccessary part of our lifes. Sport is reccomended for preventing various diseases, enhancing immunity system or for controlling weight and for enhancing conditions. However, how severaly is sport activity benefit for human health and when it becomes harmful for it? This work deals with possible negative effects of strenous excercise on human organism. In our case it is ultra-maraton and mountbiking. In following parts of this work it is tried to explaine metabolic changes and influance of strenous excercise on immunological and biochemical parametres. The parameters immunoglobulin A, M, leukocytes, creatinine, sodium and potassium ions and enzymes such as lactatedehydrogenase, creatinekinase and alanineaminotransferase were studied. The values of these parameters were obtained from the blood samples taken before and after the race. A 23 samples from a 24-hour cycling race and 24 run-of-the-run race samples per 100 km were examined. A matlab tool was created for statistical analysis of data. A huge increase in the number of leukocytes was found in both types of races. In the MTB, it is an increase from 5.75 ± 1.29 x 109 / l to 11.80 ± 3.08 x 109 / l, in the race from 4.99 ± 1.84 x 109 / l to 13, 20 ± 5.36 x 109 / l. IgA did not significantly decrease, on the contrary slightly increased. IgM values have not changed significantly in runners. Cyclists experienced a statistically significant reduction in the original amount of 60.23 ± 6.54 mg / dl to 52.60 ± 10.43 mg / dl. There were statistically significant changes in CK and LDH levels in the race. From the original CK values of 4.25 ± 2.74 kat / l, the activity of the enzyme increased by 50.09 ± 60.08 kat / l due to the race. LDH is not significantly different in the cycling race as well as in the ALT enzyme. In this case, there was no statistically significant change to either type of race. Concentration of potassium and sodium ions decreased significantly. In potassium, its concentration dropped from 5.61 ± 0.59 mmol / l to 4.57 ± 0.39 mmol / l. Sodium ions dropped from 138.22 ± 1.17 mmol / l to 137.00 ± 1, 75 mmol / l.
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Convolutional Neural Networks for Emotion Recognition
Jileček, Jan ; Najman, Pavel (referee) ; Hradiš, Michal (advisor)
Convolutional neural networks are used for various tasks, but foremost in machine learning, in which they excel. This work is going to introduce some existing frameworks, other algorithms for recognition and then we describe the training dataset creation and the model for emotion recognition training process. Mentioned model has accuracy of 60%. It is used for emotion statistics retrieval from movie trailers. Model for genre recognition is created from those statistics and then finally used in our application for genre recognition of the input trailer, with best accuracy of 47%.
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Faktory indukce tvorby hlíz lilku bramboru (Solanum tuberosum L.) v in vitro podmínkách
Kůrková, Jana
This thesis deals with the factors responsible for induction of the formation of tuber potato (Solanum tuberosum L.) in in vitro conditions. The aim was to observe cultivation of the nodal segments of stems on the induction medium with reduced content of inorganic nitrogen 12 umol, 80 g/l sucrose and the addition of 10 mg/l BA for the for-mation of tubers. The frequency of tuberisation was evaluated, as well as morfological changes, size and weight of the tubers. Three groups of explants were established diffe-ring in lenght of cultivation on the induction medium. These were monitored for chan-ges in the content of endogenous ABA in the nodal segments of stem and stolon. Moni-toring of the changes in content of endogenous cytokinin, nitrogen content, production of ethylene, ethane and CO2 was performed as well. Permanent microscopic preparations were prepared to detect transformation of the axillary bud into stolon, resp. tuber. Increased content of ABA during the tuber formation demonstrates its effect on tuberi-zation. Amongs cytokinins, the biggest effect of cytokinins on tuberization has BA, iP and iPR. Conversely, Z and ZR had no influence. Contents of ethylene, ethane,CO2 and nitrogen are related to the lenght of culturing on the induction medium.
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Interakcia fytohormónov a vonkajšich faktorov v dormacii hľúz ľuľka zemiakového (Solanum tuberosum L.) odvodených v explantátovej kultúre
Maco, Roman
Microtubers were obtained from potato plants (Solanum tuberosum L.) cultured in vitro, they were used in following experiments. The impact of growth regulators (FLD, AgNO3, BA, ABA) was monitored in length of dormancy. The content of ABA in the budding tubers and the content of endogenous CK (BA, IP, DHZ, DHZR, Z) was determined during the dormancy as well. Production of ACC, ethylene, O2, CO2 and ethane was determined by gas chromatography. Variants containing FLD, AgNO3 and BA had a significant impact in the shortening of dormancy and stimulation the growth of buds microtubers. When they were used the occurrence of budding tubers was increased by 30-40 % over the control. Variant of ABA inhibited the growth of buds. ABA content correlated with the process of dormancy and the occurrence of budding tubers. The highest content of ABA was in variant with freshly collected dormant tubers. Concentration of various CK was dependent on the type of CK and monitored variant. Generally, It was slightly increased with occurrence of budding tubers.
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Analysis of selected physiological parameters of athletes during exercise
Ambrožová, Monika ; Kolářová, Jana (referee) ; Ronzhina, Marina (advisor)
Regular sport activity is considered as neccessary part of our lifes. Sport is reccomended for preventing various diseases, enhancing immunity system or for controlling weight and for enhancing conditions. However, how severaly is sport activity benefit for human health and when it becomes harmful for it? This work deals with possible negative effects of strenous excercise on human organism. In our case it is ultra-maraton and mountbiking. In following parts of this work it is tried to explaine metabolic changes and influance of strenous excercise on immunological and biochemical parametres. The parameters immunoglobulin A, M, leukocytes, creatinine, sodium and potassium ions and enzymes such as lactatedehydrogenase, creatinekinase and alanineaminotransferase were studied. The values of these parameters were obtained from the blood samples taken before and after the race. A 23 samples from a 24-hour cycling race and 24 run-of-the-run race samples per 100 km were examined. A matlab tool was created for statistical analysis of data. A huge increase in the number of leukocytes was found in both types of races. In the MTB, it is an increase from 5.75 ± 1.29 x 109 / l to 11.80 ± 3.08 x 109 / l, in the race from 4.99 ± 1.84 x 109 / l to 13, 20 ± 5.36 x 109 / l. IgA did not significantly decrease, on the contrary slightly increased. IgM values have not changed significantly in runners. Cyclists experienced a statistically significant reduction in the original amount of 60.23 ± 6.54 mg / dl to 52.60 ± 10.43 mg / dl. There were statistically significant changes in CK and LDH levels in the race. From the original CK values of 4.25 ± 2.74 kat / l, the activity of the enzyme increased by 50.09 ± 60.08 kat / l due to the race. LDH is not significantly different in the cycling race as well as in the ALT enzyme. In this case, there was no statistically significant change to either type of race. Concentration of potassium and sodium ions decreased significantly. In potassium, its concentration dropped from 5.61 ± 0.59 mmol / l to 4.57 ± 0.39 mmol / l. Sodium ions dropped from 138.22 ± 1.17 mmol / l to 137.00 ± 1, 75 mmol / l.
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Convolutional Neural Networks for Emotion Recognition
Jileček, Jan ; Najman, Pavel (referee) ; Hradiš, Michal (advisor)
Convolutional neural networks are used for various tasks, but foremost in machine learning, in which they excel. This work is going to introduce some existing frameworks, other algorithms for recognition and then we describe the training dataset creation and the model for emotion recognition training process. Mentioned model has accuracy of 60%. It is used for emotion statistics retrieval from movie trailers. Model for genre recognition is created from those statistics and then finally used in our application for genre recognition of the input trailer, with best accuracy of 47%.
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