1 v., various pagings + 1 computer disk, 4 3/4 in. Thesis (Ph.D.) -- University of the Witwatersrand, 2004. / AC 2018

This study examines portrayals of adolescent girls on Music Television (MTV). A content analysis of 26 hours of MTV programming was conducted and analyzed using quantitative and qualitative methods. Analyzed programming was shown August-November 2001. Dates were chosen randomly; times were chosen randomly from the pools of hours in which adolescents usually watch television. Adolescent girls predominantly appear in the background of MTV programs. Many of them cheer for male celebrities, but only 12% speak. The content analysis reveals that a narrow beauty ideal is promoted on the channel-most girls are thin, White, and wearing revealing clothing. It is argued that MTV portrayals exacerbate girls' body dissatisfaction, sexual objectification, and confidence slide. This study is significant because the stories told on MTV are reflected in the lived world, and those stories suggest that girls should sit quietly in the background and be thin and White to be considered beautiful.

<p>In the railway industry, slip control has always been essential due to the low friction between the wheels and the rail. In this master’s thesis we have gathered several slip control methods and evaluated them. These evaluations were performed in Matlab-Simulink on a slip process model of a railway vehicle. The objective with these evaluations were to show advantages and disadvantages with the different slip control methods. </p><p>The results clearly show the advantage of using a slip optimizing control method, i.e. a method that finds the optimal slip and thereby maximizes the use of adhesion. We have developed two control strategies that we have found superior in this matter. These methods have a lot in common. For instance they both use an adhesion observer and non-linear gain, which enables fast optimization. The difference lies in how this non-linear gain is formed. One strategy uses an adaptive algorithm to estimate it and the other uses fuzzy logic. </p><p>A problem to overcome in order to have well functioning slip controllers is the formation of vehicle velocity. This is a consequence of the fact that most slip controllers use the velocity as a control signal.</p>

In the railway industry, slip control has always been essential due to the low friction between the wheels and the rail. In this master’s thesis we have gathered several slip control methods and evaluated them. These evaluations were performed in Matlab-Simulink on a slip process model of a railway vehicle. The objective with these evaluations were to show advantages and disadvantages with the different slip control methods. The results clearly show the advantage of using a slip optimizing control method, i.e. a method that finds the optimal slip and thereby maximizes the use of adhesion. We have developed two control strategies that we have found superior in this matter. These methods have a lot in common. For instance they both use an adhesion observer and non-linear gain, which enables fast optimization. The difference lies in how this non-linear gain is formed. One strategy uses an adaptive algorithm to estimate it and the other uses fuzzy logic. A problem to overcome in order to have well functioning slip controllers is the formation of vehicle velocity. This is a consequence of the fact that most slip controllers use the velocity as a control signal.

The aim of this thesis is the creation of model examples for teachers that can be used in mathematics lessons on basic and secondary schools. The learners are taught how to complete picture from geometry formations set with mathematics formula. This is, according my point of view, the best way how to motivate the learners of any age. The partial aim was to create a summary of theme units which can be used as a source for the pictures' creation. The whole thesis is divided into 7 chapters. Each of them consists of the introduction to the issue, a model example and exercises on the issue and their solutions.

INTRODUCTION: Investigating mechanisms of how intracellular bacterial pathogens such as Mycobacterium. avium (M. avium) evade the host immune response and replicate within macrophages is crucial to devising rational targets for host-directed therapies (HDT) against these associated diseases. This studied utilized the congenic mouse strain B6.Sst1S, which contains the super-susceptibility to tuberculosis (TB) allele. Among murine models of TB, this strain uniquely replicates human disease because mice develop granulomas with central caseous necrosis. Utilizing a susceptible model for M. avium infection, this study investigated the effect of mycobacterial pathogenesis on altering macrophage phenotypes and T cells distribution in areas of pulmonary granulomatous inflammation. METHODS:12 formalin fixed paraffin embedded (FFPE) lung sections from M. avium infected B6.Sst1S and B6 mice were examined microscopically (12 weeks post infection (wpi) n=5, 16 wpi=7). A targeted histology approach was initiated by using MRI coordinates to dictate the depths at which formalin fixed paraffin embedded (FFPE) lung samples were sectioned. Since interpretation of MRI images displayed no evidence of 2 discrete necrotizing granulomas, lungs were cut at sections representative of diffuse pathology at 2 mm into FFPE blocks. Using the Opal MethodTM (Akoya Biosciences), 6- plex immunohistochemical staining was performed with Arginase-1 (Arg1), inducible nitric oxide synthase (iNOS), CD68, CD3, M. tuberculosis antigen (cross-reacts with M. avium) and DAPI to segment nuclei. Slides were digitized by a Vectra PolarisTM fluorescent whole slide scanner. Autofluorescence was removed by InFormTM, and image analysis (IA) was conducted using HaloTM IA software. Statistical analysis was conducted using GraphPad PrismTM 8.0. RESULTS: Sst1 mediated susceptibility was statistically evident at 16 wpi but not at 12 wpi. B6.Sst1S mice showed a statistically significant (P <0.05) increase in M. avium+ cell expression in the non-inoculated lung lobes, but not the inoculated lung lobes. Pulmonary lesions within the inoculated and non-inoculated lung lobes contain different immune signatures. The predominately primary lesions of the inoculated lung lobes were associated with increased CD3+, M. avium+, and iNOS+ cell levels. When controlling for level of infection, there was lower levels of CD3+ cells within granulomatous lesions of B6.Sst1S mice, especially in the non-inoculated lung lobe. Controlling for level of infection also revealed elevated iNOS+ M. avium- cell expression in B6 mice. We observed elevated Arg1+ cell expression near iNOS+ M. avium+ cells, and, qualitatively, around larger lesions. T cell proximity analysis was contradictory and offers lessons for future the development of future IA modules. CONCLUSIONS: Sst1 mediated susceptibility was evident at 16 wpi and predominately mediated through secondary, metastatic lesions. Sst1 mediated susceptibility was also associated with fewer supportive cells (T cells and iNOS+ M. avium- cells) within granulomatous lesions. Future studies are necessary to evaluate to what degree granulomatous lesion Arg1+ cell expression and CD3+ proximity correlate to susceptibility.

Increasing requirements on products quality e.g. internal combustion engines, and growing demand on producing major parts lead to the giant development of the engines. With the engine development also great progress in the software tools has come. By decreasing costs on production of the prototypes and by support of the measured data the verification of the computational models is possible. This development has connection with using CAE tools like CAD systems, FEM programs and multi-body systems. The subject of this thesis is about using these systems to solve cranktrain dynamic. Also cranktrain dynamic results are introduced there. Interaction between the engine block and the crankshaft is solved by the hydrodynamic bearing model. All simulation methods are presented on a diesel free-cylinder in-line engine.

The aim of this diploma thesis is design of a horizontal frame for torque transfer. The work is focused on the modification of the current solution in order to improve the characteristics of the horizontal frame to enhance its rigidity and safety.

The first part of the thesis describes construction of turbochargers. The next chapter summarizes currently used methods to solve dynamics of vehicle turbocharger´s rotor. Build-up of the model of a rotor and substitution of a joint with a bearing is appended with advantages and disadvantages. Practical part of the thesis focusses at analyse of a specific rotor of turbocharger with use of MBS. Output of the analyse are rotor´s vibrations. Last chapter complains methods to improve the model.

Mitigation: Mechanics, Monitoring, Modeling, and Assessment - Proceedings of the 7th International Conference on Debris-Flow Hazards Mitigation. All rights reserved. Debris-slides are a frequent hazard in fragile decomposed metasedimentary rocks in the Anakeesta rock formation in Great Smoky Mountain National Park. The spatial distribution of an existing debris-slide area could be used to prepare susceptibility map for future debris-slide initiation zones. This work aims to create a debris-slide susceptibility map by using a knowledge-driven method in a GIS platform in Anakeesta formation of Great Smoky Mountain National Park. Six geofactors, namely, elevation, annual rainfall, slope curvature, landcover, soil texture and various slope failure modes were used to create the susceptibility map. Debris-slide locations were mapped from the satellite imagery, previous studies, and field visits. A Weighted Overlay Analysis was performed in order to generate the final susceptibility map, where individual classes of geofactors were ranked and were assigned weights based on their influence on debris-slide. The final susceptibility map was classified into five categories: very low, low, moderate, high and very high susceptible zones. Validation of the result shows very high category predicted ~10%, high and moderate categories predicted 75.5% and ~14.5% of the existing debris-slide pixels respectively. This study successfully depicts the advantage and usefulness of the knowledge-driven method, which can save considerable amount of time and reduce complicated data analysis unlike statistical or physical based methods. However, the accuracy of the model highly depends on the researcher’s experience of the area and selection of respective geofactors.