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Influence of placebo effect on sports performance
Jarchovská, Alžběta ; Vilikus, Zdeněk (advisor) ; Starnovská, Tamara (referee)
Introduction: Placebo has long been a well-known concept and the placebo effect phenomenon has been studied in a number of medical fields. In addition to its effect on pain, depression and other illnesses, other attempts are increasingly being made to find a possible use of the placebo effect. The aim of the thesis was to determine whether the administration of placebo has an effect on sports performance. Methodology: The research was conducted in two phases. The first phase was the measurement of three runs of amateur crossfit athletes at a distance of 800 m. After the run, time and subjective evaluation of the perceived effort Borg scale were writen down. In the first run placebo was administered, in the second run a commercially available preworkout supplement(L-carnitine) was administered and the third run was a control run without a tablet. The measurement results were statistically processed using Student's two-sample unpaired t-test to the mean value. The second part consisted of filling in questionnaires and then processing the resulting data. Results: After evaluating the research part, we found that in our research, placebo had no effect on athletic performance. Conclusion: The placebo and placebo effects have proven effects in many industries. Further research is needed on placebo and...
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Reproducible Partial-Load Experiments in Workload Colocation Analysis
Podzimek, Andrej ; Bulej, Lubomír (advisor) ; Pena, Tomás Fernández (referee) ; van Hoorn, André (referee)
Hardware concurrency is common in all contemporary computer systems. Efficient use of hardware resources requires parallel processing and sharing of hardware by multiple workloads. Striking a balance between the conflicting goals of keeping servers highly utilized and maintaining a predictable performance level requires an informed choice of performance isolation techniques. Despite a broad choice of resource isolation mechanisms in operating systems, such as pinning of workloads to disjoint sets of processors, little is known about their effects on overall system performance and power consumption, especially under partial load conditions common in practice. Performance and performance interference under partial processor load is analyzed only after the fact, based on historical data, rather than proactively tested. This dissertation contributes a systematic approach to experimental analysis of application performance under partial processor load and in workload colocation scenarios. We first present a software tool set called Showstopper, capable of achieving and sustaining a variety of partial processor load conditions. Based on arbitrary pre-existing computationally intensive workloads, Showstopper replays processor load traces using feedback control mechanisms to maintain the desired load. As opposed to...
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Reproducible Partial-Load Experiments in Workload Colocation Analysis
Podzimek, Andrej ; Bulej, Lubomír (advisor) ; Pena, Tomás Fernández (referee) ; van Hoorn, André (referee)
Hardware concurrency is common in all contemporary computer systems. Efficient use of hardware resources requires parallel processing and sharing of hardware by multiple workloads. Striking a balance between the conflicting goals of keeping servers highly utilized and maintaining a predictable performance level requires an informed choice of performance isolation techniques. Despite a broad choice of resource isolation mechanisms in operating systems, such as pinning of workloads to disjoint sets of processors, little is known about their effects on overall system performance and power consumption, especially under partial load conditions common in practice. Performance and performance interference under partial processor load is analyzed only after the fact, based on historical data, rather than proactively tested. This dissertation contributes a systematic approach to experimental analysis of application performance under partial processor load and in workload colocation scenarios. We first present a software tool set called Showstopper, capable of achieving and sustaining a variety of partial processor load conditions. Based on arbitrary pre-existing computationally intensive workloads, Showstopper replays processor load traces using feedback control mechanisms to maintain the desired load. As opposed to...
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