The diploma thesis "Production Ideology of the television serial Proč bychom se netopili" deals with the production process in the making of a television serial. The initial focus was on the formation of one of the main characters, Keny, and on his position in the production as a whole. The thesis builds upon the ideas developed by cultural studies. These combine the structuralist approach inspired by the linguistics of Ferdinand de Saussure with the ideological approach based mainly on the thought of Louis Althusser. The production process is enquired into by Elena Levine who distinguishes five key categories of production. The research section which represents the core of the present diploma thesis is methodologically formed by grounded theory. It is based on qualitative interviews with those in key positions with respect to the production process. In the analytical section, the thesis operates with Roland Barthes's concept of mythologies. In the interviews, the informants make reference to the category of production routine, of the myth concerning the ideal "waterman" (the main character Keny being a symbol of this myth), of the production conditions in Czech Television and of the viewer who appears to be the ultimate instance. These categories constitute the mythology of the exceptional which...

The ability to generate a range of concentrations of various solutions rapidly and conveniently is an ongoing need in biotechnology. In this thesis we demonstrate how we took advantage of the full process control afforded by our recent custom high resolution 3D printer and resin advances to realize highly integrated and miniaturized microfluidic components for simultaneous on-chip serial dilution for dose-response assays. With judicious selection of mixed layer thicknesses and pixel-by-pixel dose control, we show that the diameter of 3D printed membrane valves can be reduced from 300 µm to 46 µm. We further introduce an entirely new kind of 3D printed valve, termed a squeeze valve, in which the active area is reduced still further to 15 µm x 15 µm. We demonstrate and characterize pumps based on each type of valve and introduce a short (<1 mm long) high aspect ratio channel that enables rapid diffusion-based mixing. We show that combining two pumps with this diffusion mixing channel results in a highly compact 1:1 mixer component. Connecting 10 of these components in series yields a miniature 10 stage 2-fold microfluidic serial dilution module that from two solution inputs simultaneously generates 10 output concentrations that cover three orders of magnitude. We show the efficacy of our serial dilution approach by demonstrating an assay for dose-dependent permeabilization of A549 cells in different concentrations of digitonin integrated into a single device. Our demonstration of component miniaturization in conjunction with a high degree of integration illustrates the promise of 3D printing to enable highly functional and compact microfluidic devices for a variety of biomolecular applications.

Information processing in living tissues is dramatically different from what we see in common man-made computer. The data and processing is distributed into the activity of cells which communicate only with neighboring cells. There is no clock for the global synchronization of cellular activities. There is not even one bit of central memory for globally shared data. The communication network between cells is highly irregular and may change without changing the outcome of the computation. A simple network of automata is introduced and analyzed to represent a mathematical model of special group of cells in an imaginary tissue sample. The interaction between the cells, their communication method, and their level of intelligence is studied. Three different structures of this model are demonstrated. Later on a simplification in the cells' program and elimination of a beat keeping clock will lead to a finite state automata network that is surprisingly more powerful in achieving the overall network's goal than its previous generation which had the advantage of more complex programs and a beat keeping clock.

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The serial interval (SI), defined as the symptom time between an infector and an infectee, is widely used to better understand transmission patterns of an infectious disease. Estimating the SI for tuberculosis (TB) is complicated by the slow progression from asymptomatic infection to active, symptomatic disease, and the fact that there is only a 5-10% lifetime risk of developing active TB disease. Furthermore, the time of symptom onset for infectors and infectees is rarely observed accurately. In this dissertation, we first conduct a systematic literature review to demonstrate the limited methods currently available to estimate the serial interval for TB as well as the few estimates that have been published. Secondly, under the assumption of an ideal scenario where all SIs are observed with precision, we evaluate the effect of prior information on estimating the SI in a Bayesian framework. Thirdly, we apply cure models, proposed by Boag in 1949, to estimate the SI for TB in a Bayesian framework. We show that the cure models perform better in the presence of credible prior information on the proportion of the study population that develop active TB disease, and should be chosen over traditional survival models which assume that all of the study population will eventually have the event of interest—active TB disease. Next, we modify the method by Reich et al. in 2009 by using a Riemann sum to approximate the likelihood function that involves a double integral. In doing so, we are able to reduce the computing time of the approximation method by around 50%. We are also able to relax the assumption of uniformity on the censoring intervals. We show that when using weights that are consistent with the underlying skewness of the intervals, the proposed approaches consistently produce more accurate estimates than the existing approaches. We provide SI estimates for TB using empirical datasets from Brazil and USA/Canada.

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Next to practice itself, feedback provided to a learner from an external source such as a coach or therapist is considered the most important factor facilitating skill acquisition. Past research has suggested that punishment and reward feedback have dissociable effects on learning and retention, respectively. However, other studies have suggested a more reliable effect of punishment feedback while failing to replicate the benefit of reward on retention. This discrepancy across experiments may be the result of seemingly innocuous methodological differences. Here, I ran a pre-registered online experiment to test the replicability of the supposed dissociable effects of punishment and reward on learning during training and retention, respectively. Participants were randomly assigned to receive either punishment feedback (n = 34) or reward feedback (n = 34) during the training period as they learned a repeating 12-element sequence in a serial reaction time task. Feedback consisted of participants either seeing a red (Punishment group) or green (Reward group) box flash on their computer screen and, unbeknownst to them, either a corresponding loss (Punishment group) or gain (Reward group) of points from their starting total. Participants were informed that a good final point score (i.e., the higher the better) could earn them extra entries into a gift card lottery. Contrary to what much of the literature has found, our results revealed no statistically significant differences between groups in either the training or retention phases of the experiment. In conclusion, the findings of this experiment failed to replicate the previously found dissociable effects of punishment and reward feedback on learning and retention, respectively. The data instead suggests that providing participants with punishment or reward feedback may affect learning and retention in a similar manner. / Thesis / Master of Science (MSc) / The information that you get from your senses, along with the comments and criticisms given to you by others, are all forms of feedback that may or may not be available in your environment. Feedback can often be given to you in the form of a punishment or a reward in an effort to facilitate your performance of a motor skill, such as learning to juggle a soccer ball. In this thesis, I explored whether punishment and reward feedback have dissociable effects on the way people learn and retain a new motor skill. Some individuals received punishment feedback by seeing a red box flash on their screen and losing points, while others received reward feedback by seeing a green box flash on their screen and gaining points. Although the participants learned the new motor skill in the experiment, the results showed that reward and punishment feedback did not differentially impact motor learning. These results suggest that either reward or punishment feedback may be a useful feedback strategy for promoting motor learning.

The subject of this diploma thesis is "The specificity of serial murders and their investigation". This diploma thesis focuses on the delimitation of serial murders, the typical way of committing serial murders, the criminalistic characterisation of serial killers as well as the methodology of such murders. The first chapter of the diploma thesis is dedicated to the definition of the term "serial murders" itself and simultaneously to the terms "mass and murderous wave". In the second chapter the aim is, primarily, to briefly analyse the legal classification of serial murders in the meaning of the Czech Criminal Code. This part of the diploma thesis also focuses on the differences between common murder, deliberate murder, murder with prior consideration and the typicalness of serial murders. The third chapter lays out different ways of committing serial murders from the view of preparatory action. Murder weapons and the mechanism of killing are also described in this part of the diploma thesis as well as the diplomant's own research on these topics based on the sample of 44 serial killers. The issue of the culprits of serial murders, especially the matter of their organisation and motive, is described in the fourth chapter. Furthermore, the culprits are divided into categories such as sexual serial...

Ooids of Great Salt Lake, Utah (GSL) have been studied periodically by geologists since the 1960's. These studies have documented the locations of ooid deposits, bulk composition, mineralogy, and internal structural variations of GSL ooids. Ooids have also been identified in sediment cores from lakes predating the Great Salt Lake, but similar descriptions have not been made for these ooids. Samples of ooids from cores in Pilot Valley, UT/NV and Knolls, UT have been obtained, along with samples from the Great Salt Lake at Bridger Bay and Rozel Point. The cortical fabrics and crystal morphologies of these ooids were studied in thin section and under scanning electron microscopy. Examples of cortex morphologies previously documented in GSL ooids were observed, to some degree, in ooids from Pilot Valley and Knolls. Knolls ooids had unique cortical layers that were resistive to acid and appeared to be dominantly comprised of clays. Bulk dissolution ages were obtained for ooids from each location. Ooids form both Pilot Valley and Knolls had average ages that pre-date Lake Bonneville, whereas GSL ooids from Bridger Bay had an average age of roughly 3,500 years before present (yr BP) and Rozel Point ooids had an average age of 500 yr BP. Along with a bulk age, ooids from Bridger Bay at the Great Salt Lake were subjected to serial dissolutions during which a split of gas was taken from each stage and an age was obtained. Ages spanned 7,000 years with the final dissolution stage delivering an average age of 9,000 yr BP. Based on this data it is likely that GSL ooids at Bridger Bay have been forming since the cessation of Lake Bonneville and that many of the nuclei in Bridger Bay ooids are remnant peloids from the Gilbert level of Lake Bonneville.

In the field of control theory, optimal performance is generally defined as the best possible controlled performance given a static, unchangeable plant system. However, principled design of the underlying system can make designing effective controllers easier and dramatically improve the final control performance beyond what any finely tuned controller could achieve alone. This work develops performance metrics for serial robot arms which help guide the design and optimization of the structure of the arm to achieve greater final performance. First, a kinematic (motion-based) metric called the Actuator Independence Metric (AIM) measures the uniqueness of the movement capabilities of the different joints in a robot arm. Arms which are optimized with respect to the AIM exhibit a greater freedom of movement. In particular, it is shown that the AIM score of a robot correlates strongly with their ability to find solutions to the Inverse Kinematics problem, and that redundant arms with a high AIM score have more useful null-spaces with significant ability to change configuration while maintaining a fixed end-effector pose. Second, a dynamic metric called the Acceleration Radius is explored. The acceleration radius measures the maximum acceleration which a robot arm is capable of generating in any direction. An efficient algorithm for calculating the acceleration radius is developed which exploits the geometry of the mapping from joint torques to acceleration. A design optimization is carried out to demonstrate how the acceleration radius predicts the dynamic movement capabilities of robot arms. It is shown that arms which are optimal with respect to the acceleration radius can follow faster paths through a task space. The metrics developed in this thesis can be used to create customized robot arm designs for specific tasks, which will exhibit desirable control performance.