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- Genre: Doctoral Dissertation
Description
"White flight" is a sociological phenomenon where White members depart urban neighborhoods or schools predominantly populated by minorities, and move to places like suburbs or commuter towns. A huge limitation in White flight research does not account for communities in rural America. The rural community of Garden City, Kansas, is of particular interest because of its shift in demographics over the years. Garden City has transformed dramatically with the arrival of immigrants to staff meatpacking plants and their children who attend the Garden City Public School District. In the last eighteen years, the Garden City Public School District has experienced a 204% growth in Hispanic student enrollment while simultaneously experiencing a 54% decline in White student enrollment. The exodus of White students from the Garden City Public School District is the focus of this research. The findings of this study indicate that White flight exists in the Garden City Public School District primarily as a product of racism due to White community constituents' feelings of xenophobia and ethnophobia toward Garden City's minority populations.
ContributorsVolk, Michael J (Author) / Glass, Gene V (Thesis advisor) / Danzig, Arnold B. (Committee member) / Davey, Lynn M. (Committee member) / Arizona State University (Publisher)
Created2011
Description
Membrane proteins are very important for all living cells, being involved in respiration, photosynthesis, cellular uptake and signal transduction, amongst other vital functions. However, less than 300 unique membrane protein structures have been determined to date, often due to difficulties associated with the growth of sufficiently large and well-ordered crystals. This work has been focused on showing the first proof of concept for using membrane protein nanocrystals and microcrystals for high-resolution structure determination. Upon determining that crystals of the membrane protein Photosystem I, which is the largest and most complex membrane protein crystallized to date, exist with only a hundred unit cells with sizes of less than 200 nm on an edge, work was done to develop a technique that could exploit the growth of the Photosystem I nanocrystals and microcrystals. Femtosecond X-ray protein nanocrystallography was developed for use at the first high-energy X-ray free electron laser, the LCLS at SLAC National Accelerator Laboratory, in which a liquid jet would bring fully hydrated Photosystem I nanocrystals into the interaction region of the pulsed X-ray source. Diffraction patterns were recorded from millions of individual PSI nanocrystals and data from thousands of different, randomly oriented crystallites were integrated using Monte Carlo integration of the peak intensities. The short pulses ( 70 fs) provided by the LCLS allowed the possibility to collect the diffraction data before the onset of radiation damage, exploiting the diffract-before-destroy principle. At the initial experiments at the AMO beamline using 6.9- Å wavelength, Bragg peaks were recorded to 8.5- Å resolution, and an electron-density map was determined that did not show any effects of X-ray-induced radiation damage. Recently, femtosecond X-ray protein nanocrystallography experiments were done at the CXI beamline of the LCLS using 1.3- Å wavelength, and Bragg reflections were recorded to 3- Å resolution; the data are currently being processed. Many additional techniques still need to be developed to explore the femtosecond nanocrystallography technique for experimental phasing and time-resolved X-ray crystallography experiments. The first proof-of-principle results for the femtosecond nanocrystallography technique indicate the incredible potential of the technique to offer a new route to the structure determination of membrane proteins.
ContributorsHunter, Mark (Author) / Fromme, Petra (Thesis advisor) / Wolf, George (Committee member) / Levitus, Marcia (Committee member) / Arizona State University (Publisher)
Created2011
Description
An emerging body of literature suggests that humans likely have multiple threat avoidance systems that enable us to detect and avoid threats in our environment, such as disease threats and physical safety threats. These systems are presumed to be domain-specific, each handling one class of potential threats, and previous research generally supports this assumption. Previous research has not, however, directly tested the domain-specificity of disease avoidance and self-protection by showing that activating one threat management system does not lead to responses consistent only with a different threat management system. Here, the domain- specificity of the disease avoidance and self-protection systems is directly tested using the lexical decision task, a measure of stereotype accessibility, and the implicit association test. Results, although inconclusive, more strongly support a series of domain-specific threat management systems than a single, domain- general system
ContributorsAnderson, Uriah Steven (Author) / Kenrick, Douglas T. (Thesis advisor) / Shiota, Michelle N. (Committee member) / Neuberg, Steven L. (Committee member) / Becker, David V (Committee member) / Arizona State University (Publisher)
Created2011
Description
Chemical and mineralogical data from Mars shows that the surface has been chemically weathered on local to regional scales. Chemical trends and the types of chemical weathering products present on the surface and their abundances can elucidate information about past aqueous processes. Thermal-infrared (TIR) data and their respective models are essential for interpreting Martian mineralogy and geologic history. However, previous studies have shown that chemical weathering and the precipitation of fine-grained secondary silicates can adversely affect the accuracy of TIR spectral models. Furthermore, spectral libraries used to identify minerals on the Martian surface lack some important weathering products, including poorly-crystalline aluminosilicates like allophane, thus eliminating their identification in TIR spectral models. It is essential to accurately interpret TIR spectral data from chemically weathered surfaces to understand the evolution of aqueous processes on Mars. Laboratory experiments were performed to improve interpretations of TIR data from weathered surfaces. To test the accuracy of deriving chemistry of weathered rocks from TIR spectroscopy, chemistry was derived from TIR models of weathered basalts from Baynton, Australia and compared to actual weathering rind chemistry. To determine how specific secondary silicates affect the TIR spectroscopy of weathered basalts, mixtures of basaltic minerals and small amounts of secondary silicates were modeled. Poorly-crystalline aluminosilicates were synthesized and their TIR spectra were added to spectral libraries. Regional Thermal Emission Spectrometer (TES) data were modeled using libraries containing these poorly-crystalline aluminosilicates to test for their presence on the Mars. Chemistry derived from models of weathered Baynton basalts is not accurate, but broad chemical weathering trends can be interpreted from the data. TIR models of mineral mixtures show that small amounts of crystalline and amorphous silicate weathering products (2.5-5 wt.%) can be detected in TIR models and can adversely affect modeled plagioclase abundances. Poorly-crystalline aluminosilicates are identified in Northern Acidalia, Solis Planum, and Meridiani. Previous studies have suggested that acid sulfate weathering was the dominant surface alteration process for the past 3.5 billion years; however, the identification of allophane indicates that alteration at near-neutral pH occurred on regional scales and that acid sulfate weathering is not the only weathering process on Mars.
ContributorsRampe, Elizabeth Barger (Author) / Sharp, Thomas G (Thesis advisor) / Christensen, Phillip (Committee member) / Hervig, Richard (Committee member) / Shock, Everett (Committee member) / Williams, Lynda (Committee member) / Arizona State University (Publisher)
Created2011
Description
With the increasing focus on developing environmentally benign electronic packages, lead-free solder alloys have received a great deal of attention. Mishandling of packages, during manufacture, assembly, or by the user may cause failure of solder joint. A fundamental understanding of the behavior of lead-free solders under mechanical shock conditions is lacking. Reliable experimental and numerical analysis of lead-free solder joints in the intermediate strain rate regime need to be investigated. This dissertation mainly focuses on exploring the mechanical shock behavior of lead-free tin-rich solder alloys via multiscale modeling and numerical simulations. First, the macroscopic stress/strain behaviors of three bulk lead-free tin-rich solders were tested over a range of strain rates from 0.001/s to 30/s. Finite element analysis was conducted to determine appropriate specimen geometry that could reach a homogeneous stress/strain field and a relatively high strain rate. A novel self-consistent true stress correction method is developed to compensate the inaccuracy caused by the triaxial stress state at the post-necking stage. Then the material property of micron-scale intermetallic was examined by micro-compression test. The accuracy of this measure is systematically validated by finite element analysis, and empirical adjustments are provided. Moreover, the interfacial property of the solder/intermetallic interface is investigated, and a continuum traction-separation law of this interface is developed from an atomistic-based cohesive element method. The macroscopic stress/strain relation and microstructural properties are combined together to form a multiscale material behavior via a stochastic approach for both solder and intermetallic. As a result, solder is modeled by porous plasticity with random voids, and intermetallic is characterized as brittle material with random vulnerable region. Thereafter, the porous plasticity fracture of the solders and the brittle fracture of the intermetallics are coupled together in one finite element model. Finally, this study yields a multiscale model to understand and predict the mechanical shock behavior of lead-free tin-rich solder joints. Different fracture patterns are observed for various strain rates and/or intermetallic thicknesses. The predictions have a good agreement with the theory and experiments.
ContributorsFei, Huiyang (Author) / Jiang, Hanqing (Thesis advisor) / Chawla, Nikhilesh (Thesis advisor) / Tasooji, Amaneh (Committee member) / Mobasher, Barzin (Committee member) / Rajan, Subramaniam D. (Committee member) / Arizona State University (Publisher)
Created2011
Description
As pointed out in the keynote speech by H. V. Jagadish in SIGMOD'07, and also commonly agreed in the database community, the usability of structured data by casual users is as important as the data management systems' functionalities. A major hardness of using structured data is the problem of easily retrieving information from them given a user's information needs. Learning and using a structured query language (e.g., SQL and XQuery) is overwhelmingly burdensome for most users, as not only are these languages sophisticated, but the users need to know the data schema. Keyword search provides us with opportunities to conveniently access structured data and potentially significantly enhances the usability of structured data. However, processing keyword search on structured data is challenging due to various types of ambiguities such as structural ambiguity (keyword queries have no structure), keyword ambiguity (the keywords may not be accurate), user preference ambiguity (the user may have implicit preferences that are not indicated in the query), as well as the efficiency challenges due to large search space. This dissertation performs an expansive study on keyword search processing techniques as a gateway for users to access structured data and retrieve desired information. The key issues addressed include: (1) Resolving structural ambiguities in keyword queries by generating meaningful query results, which involves identifying relevant keyword matches, identifying return information, composing query results based on relevant matches and return information. (2) Resolving structural, keyword and user preference ambiguities through result analysis, including snippet generation, result differentiation, result clustering, result summarization/query expansion, etc. (3) Resolving the efficiency challenge in processing keyword search on structured data by utilizing and efficiently maintaining materialized views. These works deliver significant technical contributions towards building a full-fledged search engine for structured data.
ContributorsLiu, Ziyang (Author) / Chen, Yi (Thesis advisor) / Candan, Kasim S (Committee member) / Davulcu, Hasan (Committee member) / Jagadish, H V (Committee member) / Arizona State University (Publisher)
Created2011
Description
Reliable extraction of human pose features that are invariant to view angle and body shape changes is critical for advancing human movement analysis. In this dissertation, the multifactor analysis techniques, including the multilinear analysis and the multifactor Gaussian process methods, have been exploited to extract such invariant pose features from video data by decomposing various key contributing factors, such as pose, view angle, and body shape, in the generation of the image observations. Experimental results have shown that the resulting pose features extracted using the proposed methods exhibit excellent invariance properties to changes in view angles and body shapes. Furthermore, using the proposed invariant multifactor pose features, a suite of simple while effective algorithms have been developed to solve the movement recognition and pose estimation problems. Using these proposed algorithms, excellent human movement analysis results have been obtained, and most of them are superior to those obtained from state-of-the-art algorithms on the same testing datasets. Moreover, a number of key movement analysis challenges, including robust online gesture spotting and multi-camera gesture recognition, have also been addressed in this research. To this end, an online gesture spotting framework has been developed to automatically detect and learn non-gesture movement patterns to improve gesture localization and recognition from continuous data streams using a hidden Markov network. In addition, the optimal data fusion scheme has been investigated for multicamera gesture recognition, and the decision-level camera fusion scheme using the product rule has been found to be optimal for gesture recognition using multiple uncalibrated cameras. Furthermore, the challenge of optimal camera selection in multi-camera gesture recognition has also been tackled. A measure to quantify the complementary strength across cameras has been proposed. Experimental results obtained from a real-life gesture recognition dataset have shown that the optimal camera combinations identified according to the proposed complementary measure always lead to the best gesture recognition results.
ContributorsPeng, Bo (Author) / Qian, Gang (Thesis advisor) / Ye, Jieping (Committee member) / Li, Baoxin (Committee member) / Spanias, Andreas (Committee member) / Arizona State University (Publisher)
Created2011
Description
Growers and the USDA showed increasing favor for agricultural chemicals over cultural and biological forms of pest control through the first half of the twentieth century. With the introduction of DDT and other synthetic chemicals to commercial markets in the post-World War II era, pesticides became entrenched as the primary form of pest control in the industrial agriculture production system. Despite accumulating evidence that some pesticides posed a threat to human and environmental health, growers and government exercised path-dependent behavior in the development and implementation of pest control strategies. As pests developed resistance to regimens of agricultural chemicals, growers applied pesticides with greater toxicity in higher volumes to their fields with little consideration for the unintended consequences of using the economic poisons. Consequently, pressure from non-governmental organizations proved a necessary predicate for pesticide reform. This dissertation uses a series of case studies to examine the role of non-governmental organizations, particularly environmental organizations and farmworker groups, in pesticide reform from 1962 to 2011. For nearly fifty years, these groups served as educators, communicating scientific and experiential information about the adverse effects of pesticides on human health and environment to the public, and built support for the amendment of pesticide policies and the alteration of pesticide use practices. Their efforts led to the passage of more stringent regulations to better protect farmworkers, the public, and the environment. Environmental organizations and farmworker groups also acted as watchdogs, monitoring the activity of regulatory agencies and bringing suit when necessary to ensure that they fulfilled their responsibilities to the public. This dissertation will build on previous scholarly work to show increasing collaboration between farmworker groups and environmental organizations. It argues that the organizations shared a common concern about the effects of pesticides on human health, which enabled bridge-builders within the disparate organizations to foster cooperative relationships. Bridge-building proved a mutually beneficial exercise. Variance in organizational strategies and the timing of different reform efforts limited, but did not eliminate, opportunities for collaboration. Coalitions formed when groups came together temporarily, and then drifted apart when a reform effort reached its terminus, leaving future collaboration still possible.
ContributorsTompkins, Adam (Author) / Hirt, Paul (Thesis advisor) / Rome, Adam (Committee member) / Adamson, Joni (Committee member) / Rosales, F (Committee member) / Arizona State University (Publisher)
Created2011
Description
This dissertation examines the factors related to the success of host country field offices established by international Non-Governmental Organizations (NGOs). Further, this dissertation examines NGO field office mission success in the context of working with foreign host governments and clients. This dissertation is a case of the field offices of The Nature Conservancy in South and Central America. The principal research aim is to identify the primary factors that are related to success of field offices. Success is identified as a multidimensional concept. A conceptual model for success is developed. The conceptual model derived causal factors from the literature and captured categories of variables such as: (1) managerial tactics and techniques dictated by the NGO and adopted by field office leaders; (2) the distance between cultural features of the host country and those of the country of origin of the field office manager and personnel; and, (3) characteristics of the host country government. The dissertation: (1) utilizes a working definition of NGO drawn from the scholarly literature in the field; (2) describes the role of field offices (located in host countries) in the calculus of "home office" goal achievement; (3) discusses the types of "change"--delivery of goods, delivery of services, changes in behavior, changes in norms or attitudes--that field offices may have and how they differ in the challenges they create for field office managers; and, (4) develops a conceptual definition for success. This dissertation is concerned with the factors associated with success in the international NGO's field office. A model of success predictors is tested in this work. The findings suggest that the field offices mission success may be affected by local culture but this was not an issue for the organization studied. Mission success as perceived by the field seems to be a product of organizational culture. The contribution of the research to academic literature is that this study is both an exploratory and descriptive study of how NGO mission is carried out in the field and the impacts of national and organizational culture on mission success.
ContributorsKraeger, Patsy (Author) / Cayer, N. Joseph (Thesis advisor) / Yoshioka, Carlton A. (Committee member) / Lan, Zhiyong (Committee member) / Arizona State University (Publisher)
Created2011
Description
Following the implementation of federal immigration control measures in the 1990s, Arizona became the main point of entry for undocumented immigrants along the US border with Mexico in the early 2000s. Since then, reports have blamed human smuggling facilitators for the increase of undocumented immigration into the state and the apparent development of violent practices targeting the undocumented. However, little is known about the organization of the groups who work at facilitating the transit of undocumented immigrants along the US Mexico Border. Based on interviews and narratives present in legal files of smuggling cases prosecuted in Phoenix, Arizona, the present study provides an analysis of local human smuggling operations. It argues that far from being under the control of organized crime, smuggling is an income generating strategy of the poor that generates financial opportunities for community members in financial distress. The study, raises questions over smuggling's perceptions as violent and instead identifies smuggling-related violence as a reflection of the structural violence carried out by the state against immigrant communities through policing, surveillance and the consistent and systematic exercise of race-based policies.
ContributorsSanchez, Gabriella (Author) / Romero, Mary L (Thesis advisor) / Fonow, Mary Margaret (Committee member) / Tsuda, Takeyuki (Committee member) / Arizona State University (Publisher)
Created2011