2013 MU dissertations - Freely available online

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    Preparing birds to fly : Lloyd Richards and the actor
    (University of Missouri--Columbia, 2013) Francis, Carlia Claudine; Black, Cheryl, 1954-
    Lloyd Richards (1919-2006) was one of the preeminent theatre practitioners in the United States from the mid-twentieth century through the beginning of the twenty-first. Through his work as Artistic Director of the Eugene O'Neill Playwrights Center, Dean of Yale School of Drama, and Artistic Director of Yale Repertory Theatre, Richards made a significant mark on modern American theatre. Although Richards is recognized for his outstanding work with playwrights and new play development, his work with actors, by comparison, has been overlooked. Preparing Birds to Fly: Lloyd Richards and the Actor uses interviews with seven of Richards's former students and collaborators to investigate Richards's actor-training pedagogy and directing practices from the perspectives of actors. Stephen Henderson, Ron Van Lieu, Dean Irby, Rosalyn Coleman, Ruben Santiago-Hudson, Michele Shay, and Roger Robinson offer detailed accounts of their work with Richards and evaluate the impact working with him had on their careers and lives. Through cross-case analysis of the case studies created from each participant's interview, the study documents specific practices Richards used that, from the participants' perspectives, made working with him a transformative experience. Additionally, the study analyzes Richards's archival interviews to ascertain his directing philosophy and to compare it with the participants' report of their experiences working with him. The participants' belief that working with Richards resulted in a deepened sense of artistic integrity, creative self-reliance, and a heightened understanding of theatre as a service to the community has significant implications, and possible application, in directing practices, actor training, and approaches to cultural inclusiveness in classrooms and rehearsal halls.
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    Asymptotically efficient estimators for geometric shape fitting and source localization
    (University of Missouri--Columbia, 2013) Ma, Zhenhua; Ho, Dominic
    Solving the nonlinear estimation problem is known to be a challenging task because of the implicit relationship between the measurement data and the unknown parameters to be estimated. Iterative methods such as the Taylor-series expansion based ML estimator are presented in this thesis to solve the nonlinear estimation problem. However, they might suffer from the initialization and convergence problems. Other than the iterative methods, this thesis aims to provide a computational effective, asymptotically efficient and closed-form solution to the nonlinear estimation problem. Two kinds of classic nonlinear estimation problems are considered: the geometric shape fitting problem and the source localization problem. For the geometric shape fitting, the research in this thesis focuses on the circle and the ellipse fittings. Three iterative methods for the fitting of a single circle: the ML method, the FLS method and the SDP method, are provided and their performances are analyzed. To overcome the limitations of the iterative methods, asymptotically efficient and closed-form solutions for both the circle and ellipse fittings are derived. The good performances of the proposed solutions are supported by simulations using synthetic data as well as experiments on real images. The localization of a source via a group of sensors is another important nonlinear estimation problem studied in this thesis. Based on the TOA measurements, the CRLB and MSE results of a source location when sensor position errors are present are derived and compared to show the estimation performance loss due to the sensor position errors. A closed-formed estimator that takes into account the sensor position errors is then proposed. To further improve the sensor position and the source location estimates, an algebraic solution that jointly estimates the source and sensor positions is provided, which provides better performance in sensor position estimates at higher noise level comparing to the sequential estimation-refinement technique. The TOA based CRLB and MSE studies are further extended to the TDOA and AOA cases. Through the analysis one interesting result has been found: there are situations exist where taking into account the sensor position errors when estimating the source location will not improve the estimation accuracy. In such cases a calibration emitter with known position is needed to limit the estimation damage caused by the sensor position uncertainties. Investigation has been implemented to find out where would be the optimum position to place the calibration emitter. When the optimum calibration source position may be of theoretical interest only, a practical suboptimum criterion is developed which yields a better calibration emitter position than the closest to the unknown source criterion.
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    Structural characterization of UDP-galactopyranose mutase from eukaryotic pathogens
    (University of Missouri--Columbia, 2013) Dhatwalia, Richa; Tanner, John J., 1961-
    UDP-galactopyranose mutase (UGM) is a unique flavoenzyme that catalyzes the interconversion between UDP-galactopyranose (UDP-Galp) and UDP-galactofuranose (UDP-Galf), without any net transfer of electrons. UGM is a central enzyme involved in the biosynthesis of galactofuranose (Galf). Galf forms a major component of different glycoconjugate structures, lipids and polysaccharides of disease-causing fungi, Aspergillus fumigatus and protozoan parasites such as Trypanosoma cruzi and Leishmania major. Current treatments for diseases caused by these pathogens are limited and use compounds that are either highly toxic or expensive. Thus, new drug development strategies are required for combating these lethal diseases. The unique chemistry of UGMs and its implication in the virulence of pathogenic bacteria, fungi and protozoa and its absence in humans make it a potential drug target. Though bacterial UGMs have been somewhat characterized in detail using structural and biochemical methods, major questions about the catalytic and structural properties of eukaryotic UGMs remain unanswered. Thus, the determination of three-dimensional structures of eukaryotic UGMs might help us in elucidating the enzymatic mechanism of this class of enzymes and potential inhibitor design. The research described in this dissertation address these longstanding questions by providing the first three-dimensional structural details and biochemical characterization of eukaryotic UGMs.
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    Improved computational methods of protein sequence alignment, model selection and tertiary structure prediction
    (University of Missouri--Columbia, 2013) Deng, Xin; Cheng, Jianlin, 1972-
    Protein sequence and profile alignment has been used essentially in most bioinformatics tasks such as protein structure modeling, function prediction, and phylogenetic analysis. We designed a new algorithm MSACompro to incorporate predicted secondary structure, relative solvent accessibility, and residue-residue contact information into multiple protein sequence alignment. Our experiments showed that it improved multiple sequence alignment accuracy over most existing methods without using the structural information and performed comparably to the method using structural features and additional homologous sequences by slightly lower scores. We also developed HHpacom, a new profile-profile pairwise alignment by integrating secondary structure, solvent accessibility, torsion angle and inferred residue pair coupling information. The evaluation showed that the secondary structure, relative solvent accessibility and torsion angle information significantly improved the alignment accuracy in comparison with the state of the art methods HHsearch and HHsuite. The evolutionary constraint information did help in some cases, especially the alignments of the proteins which are of short lengths, typically 100 to 500 residues. Protein Model selection is also a key step in protein tertiary structure prediction. We developed two SVM model quality assessment methods taking query-template alignment as input. The assessment results illustrated that this could help improve the model selection, protein structure prediction and many other bioinformatics problems. Moreover, we also developed a protein tertiary structure prediction pipeline, of which many components were built in our group's MULTICOM system. The MULTICOM performed well in the CASP10 (Critical Assessment of Techniques for Protein Structure Prediction) competition.
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    Non-volatile liquid-film-embedded microfluidic valve for microscopic evaporation control and contactless bio-fluid delivery applications
    (University of Missouri--Columbia, 2013) Almeida, Riberet; Kwon, Jae W.
    Quick evaporation speed of microfluids can cause many unexpected problems and failures in various microfluidic devices and systems. In this dissertation, a new evaporation speed controlling method is demonstrated using a thin liquid-film based microfluidic valve. Microfluidic droplet ejectors were designed, fabricated and integrated with the liquid-film based microfluidic valve. The thin liquid film with nonvolatility and immiscibility exhibited excellent microfluidic valve functionality without any stiction problem between valve components, and provided a very effective evaporation protection barrier for the microfluids in the device. Successful evaporation control by the liquid-film-embedded (LiFE) microfluidic valve has been demonstrated. In addition, guided actuation of the microfluidic valve along predefined paths was successfully achieved using newly developed oil-repellent surfaces, which were later used for developing ‘virtual walls’ for confining low surface tension liquids within predefined areas. Moreover, bioinspired slippery surfaces for aiding the microfluidic valve along the ejector surface have also been developed. These slippery surfaces were evaluated for their effectiveness in reducing microfluidic valve driving voltages. Finally, a sliding liquid drop (SLID) shutter technique has been developed for a normally closed functionality with aid from nanostructures. The SLID shutter resolves many issues found in the previous LiFE microfluidic valve. Smooth and successful printing results of highly volatile bio-fluids have been demonstrated using the SLID shutter technique. I envision that these demonstrated techniques and developed tools have immense potential in various microfluidic applications.
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