ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.
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Description
Many products undergo several stages of testing ranging from tests on individual components to end-item tests. Additionally, these products may be further "tested" via customer or field use. The later failure of a delivered product may in some cases be due to circumstances that have no correlation with the product's inherent quality. However, at times, there may be cues in the upstream test data that, if detected, could serve to predict the likelihood of downstream failure or performance degradation induced by product use or environmental stresses. This study explores the use of downstream factory test data or product field reliability data to infer data mining or pattern recognition criteria onto manufacturing process or upstream test data by means of support vector machines (SVM) in order to provide reliability prediction models. In concert with a risk/benefit analysis, these models can be utilized to drive improvement of the product or, at least, via screening to improve the reliability of the product delivered to the customer. Such models can be used to aid in reliability risk assessment based on detectable correlations between the product test performance and the sources of supply, test stands, or other factors related to product manufacture. As an enhancement to the usefulness of the SVM or hyperplane classifier within this context, L-moments and the Western Electric Company (WECO) Rules are used to augment or replace the native process or test data used as inputs to the classifier. As part of this research, a generalizable binary classification methodology was developed that can be used to design and implement predictors of end-item field failure or downstream product performance based on upstream test data that may be composed of single-parameter, time-series, or multivariate real-valued data. Additionally, the methodology provides input parameter weighting factors that have proved useful in failure analysis and root cause investigations as indicators of which of several upstream product parameters have the greater influence on the downstream failure outcomes.
ContributorsMosley, James (Author) / Morrell, Darryl (Committee member) / Cochran, Douglas (Committee member) / Papandreou-Suppappola, Antonia (Committee member) / Roberts, Chell (Committee member) / Spanias, Andreas (Committee member) / Arizona State University (Publisher)
Created2011
Description
This study explored female identity formation, of Ethiopian women and women of Ethiopian heritage as they participate in a coffee (buna) ceremony ritual. The study is anchored in the theoretical framework of a sociocultural perspective which enabled an examination of culture as what individuals do and believe as they participate in mutually constituted activities. Participants in Ethiopia were asked to photograph their daily routine beginning from the time they awoke until they retired for the night. Thematic analysis of the photographs determined that all participants depicted participation in the Ethiopian coffee ceremony in their photo study. Utilizing the photographs which specifically depicted the ceremony, eight focus groups and one interview consisting of women who have migrated from Ethiopia to Arizona, responded to the typicality of the photographs, as well as what they liked or did not like about the photographs. Focus groups were digitally recorded then transcribed for analysis. A combination of coding, extrapolation of rich texts, and identifying themes and patterns were used to analyze transcripts of the focus groups and interview. The findings suggest that this context is rich with shared meanings pertaining to: material artifacts, gender socialization, creation of a space for free expression, social expectations for communal contributions, and a female rite of passage.
ContributorsPlatt, Jennifer Brinkerhoff, 1971- (Author) / Arzubiaga, Angela (Thesis advisor) / Nakagawa, Kathryn (Thesis advisor) / Warriner, Doris (Committee member) / Arizona State University (Publisher)
Created2011
Description
This dissertation examines associations between religious affiliation, religious community context and health of women and their children in Mozambique focusing on the following issues: (1) attending prenatal consultations and delivering children in a health facility; (2) women's symptoms of STDs; and (3) under-five mortality. Estimation of random intercept Poisson regression for the outcome about attending prenatal consultations demonstrated a favorable effect of affiliation to Catholic or Mainline Protestant and Apostolic religious groups. The concentration of Zionist churches in the community had a negative influence. Random intercept logistic regression was used to estimate the relationship between religion and institutional child delivery. Affiliation to Catholic or Mainline Protestant denominations as well as concentration of Catholic or Mainline Protestant churches in the community had some beneficial effect on giving birth in health clinics. The presence of Zionist churches in the community had some negative effect and that of other groups no significant influence. Random intercept logistic regression was also employed for investigating the influence of religion on women's symptoms of STDs. Belonging to the Catholic or Mainline Protestant church had some protective effect on reporting symptoms of STDs. There was no effect of religious context, except that the concentration of Other Pentecostal churches had a positive effect on reporting symptoms of SDTs. Event-history analysis was conducted for examining relationships between maternal religious affiliation with under-five mortality. Affiliation to Catholic or Mainline Protestant churches and to Apostolic denominations increased the odds of child survival, although, the influence of having a mother belonging to Catholic or Mainline Protestant churches lost statistical significance after accounting particularly for the average level of education in the community, for the period of 5 years preceding the survey date. Taken together, the results in this dissertation show some protective effect of religion that varies primarily by denominational group to which women are affiliated. They also indicate that religious community context may have some negative effect on health of women and children. The nature of the effect of religious community context varies with the type of outcome considered and the type of religious mixture in the community.
ContributorsCau, Boaventura Manuel (Author) / Agadjanian, Victor (Thesis advisor) / Hayford, Sarah (Committee member) / Yabiku, Scott (Committee member) / Arizona State University (Publisher)
Created2011
Description
Historians often characterize first ladies in the Progressive Era as representatives of the last vestiges of Victorian womanhood in an increasingly modern society. This dissertation argues that first ladies negotiated an image of themselves that fulfilled both traditional and modern notions of womanhood. In crafting these images, first ladies constructed images of their celebrity selves that were uniquely modern. Thus, images of first ladies in the Progressive Era show them as modest and feminine but also autonomous, intelligent, and capable. Using the historian Charles Ponce de Leon's research on modern human-interest journalism, I contend that first ladies in the Progressive Era worked with the modern press in a symbiotic relationship. This relationship allowed the press exclusive access to what was, ostensibly, the first lady's private, and therefore authentic, self. By purporting to reveal parts of their private lives in the press, first ladies showed themselves as down-to-earth despite their success and fulfilled by their domestic pursuits despite their compelling public lives. By offering the press exclusive access to their lives, first ladies secured the opportunity to shape specific images of themselves to appeal, as broadly as possible, to their husbands and parties' constituents and the American public. First ladies in the Progressive Era thus acted as political figures by using both public and private, or what historian Catherine Allgor terms, "unofficial spaces" to support and reflect their husbands and parties' political agendas. In examining representations of first ladies in popular magazines and newspapers from 1901 to 1921 in tandem with letters, memoirs, and other personal papers from these women, a clear pattern emerges. Despite personal differences, first ladies in the Progressive Era represented themselves according to a specific formula in the modern press. The images, constructed by first ladies in this time period, reflect shifts in economic, social, and political life in Progressive Era America, which called for women to be independent and intelligent yet still maintain their femininity and domesticity.
ContributorsHorohoe, Jill (Author) / Gullett, Gayle (Thesis advisor) / Longley, Rodney K (Committee member) / Warren-Findley, Jannelle (Committee member) / Arizona State University (Publisher)
Created2011
Description
Infectious diseases are a leading cause of death worldwide. With the development of drugs, vaccines and antibiotics, it was believed that for the first time in human history diseases would no longer be a major cause of mortality. Newly emerging diseases, re-emerging diseases and the emergence of microorganisms resistant to existing treatment have forced us to re-evaluate our optimistic perspective. In this study, a simple mathematical framework for super-infection is considered in order to explore the transmission dynamics of drug-resistance. Through its theoretical analysis, we identify the conditions necessary for the coexistence between sensitive strains and drug-resistant strains. Farther, in order to investigate the effectiveness of control measures, the model is extended so as to include vaccination and treatment. The impact that these preventive and control measures may have on its disease dynamics is evaluated. Theoretical results being confirmed via numerical simulations. Our theoretical results on two-strain drug-resistance models are applied in the context of Malaria, antimalarial drugs, and the administration of a possible partially effective vaccine. The objective is to develop a monitoring epidemiological framework that help evaluate the impact of antimalarial drugs and partially-effective vaccine in reducing the disease burden at the population level. Optimal control theory is applied in the context of this framework in order to assess the impact of time dependent cost-effective treatment efforts. It is shown that cost-effective combinations of treatment efforts depend on the population size, cost of implementing treatment controls, and the parameters of the model. We use these results to identify optimal control strategies for several scenarios.
ContributorsUrdapilleta, Alicia (Author) / Castillo-Chavez, Carlos (Thesis advisor) / Wang, Xiaohong (Thesis advisor) / Wirkus, Stephen (Committee member) / Camacho, Erika (Committee member) / Arizona State University (Publisher)
Created2011
Description
This study examines the differences in demographic and life characteristics between transgender and female prostitutes in a prostitution diversion program and identifies specialized treatment and exiting strategies for transgender prostitutes. The purpose of this study was to develop a better understanding of the transgender experience in prostitution and to contribute to the descriptive literature. Participants were 465 individuals who were arrested for prostitution and attended a prostitution-focused diversion program. Differences found to be significant between transgender and female prostitutes included demographic characteristics, history of childhood sexual abuse, and experience of violence in prostitution. Implications for treatment, exiting strategies and future research are discussed.
ContributorsSchepel, Elizabeth (Author) / Roe-Sepowitz, Dominique (Thesis advisor) / Krysik, Judy (Committee member) / Androff, David (Committee member) / Arizona State University (Publisher)
Created2011
Description
The AIDS epidemic has tremendously impacted the population of Mozambique. The rate of newly infected young women continues to grow disproportionately which is why consideration of health interventions specific to this population to combat the spread of the disease is critical. The Health Belief Model emphasizes the importance of self efficiency in the process of health related behavioral changes. Previous research has found that low levels of autonomy increase one's risk of contracting HIV/AIDS. This research uses data from a study conducted in 2006 in Mozambique to test whether higher levels of autonomy are associated with the practice of self protective behaviors related to the contraction of HIV/AIDS. Results suggest that some measures of autonomy such as education are positively associated with the practice of self protective behaviors. However, higher levels of decision making powers were negatively associated with the practice of self protective behaviors.
ContributorsWilliams, Kelli (Author) / Hayford, Sarah (Thesis advisor) / Agadjanian, Victor (Committee member) / Yabiku, Scott (Committee member) / Arizona State University (Publisher)
Created2011
Description
Diseases have been part of human life for generations and evolve within the population, sometimes dying out while other times becoming endemic or the cause of recurrent outbreaks. The long term influence of a disease stems from different dynamics within or between pathogen-host, that have been analyzed and studied by many researchers using mathematical models. Co-infection with different pathogens is common, yet little is known about how infection with one pathogen affects the host's immunological response to another. Moreover, no work has been found in the literature that considers the variability of the host immune health or that examines a disease at the population level and its corresponding interconnectedness with the host immune system. Knowing that the spread of the disease in the population starts at the individual level, this thesis explores how variability in immune system response within an endemic environment affects an individual's vulnerability, and how prone it is to co-infections. Immunology-based models of Malaria and Tuberculosis (TB) are constructed by extending and modifying existing mathematical models in the literature. The two are then combined to give a single nine-variable model of co-infection with Malaria and TB. Because these models are difficult to gain any insight analytically due to the large number of parameters, a phenomenological model of co-infection is proposed with subsystems corresponding to the individual immunology-based model of a single infection. Within this phenomenological model, the variability of the host immune health is also incorporated through three different pathogen response curves using nonlinear bounded Michaelis-Menten functions that describe the level or state of immune system (healthy, moderate and severely compromised). The immunology-based models of Malaria and TB give numerical results that agree with the biological observations. The Malaria--TB co-infection model gives reasonable results and these suggest that the order in which the two diseases are introduced have an impact on the behavior of both. The subsystems of the phenomenological models that correspond to a single infection (either of Malaria or TB) mimic much of the observed behavior of the immunology-based counterpart and can demonstrate different behavior depending on the chosen pathogen response curve. In addition, varying some of the parameters and initial conditions in the phenomenological model yields a range of topologically different mathematical behaviors, which suggests that this behavior may be able to be observed in the immunology-based models as well. The phenomenological models clearly replicate the qualitative behavior of primary and secondary infection as well as co-infection. The mathematical solutions of the models correspond to the fundamental states described by immunologists: virgin state, immune state and tolerance state. The phenomenological model of co-infection also demonstrates a range of parameter values and initial conditions in which the introduction of a second disease causes both diseases to grow without bound even though those same parameters and initial conditions did not yield unbounded growth in the corresponding subsystems. This results applies to all three states of the host immune system. In terms of the immunology-based system, this would suggest the following: there may be parameter values and initial conditions in which a person can clear Malaria or TB (separately) from their system but in which the presence of both can result in the person dying of one of the diseases. Finally, this thesis studies links between epidemiology (population level) and immunology in an effort to assess the impact of pathogen's spread within the population on the immune response of individuals. Models of Malaria and TB are proposed that incorporate the immune system of the host into a mathematical model of an epidemic at the population level.
ContributorsSoho, Edmé L (Author) / Wirkus, Stephen (Thesis advisor) / Castillo-Chavez, Carlos (Thesis advisor) / Chowell-Puente, Gerardo (Committee member) / Arizona State University (Publisher)
Created2011
Description
This thesis examines the 1994 Rwandan genocide with a specific emphasis on the rape of Tutsi women as a weapon of genocide. From the perspective of scholarship in trauma studies, an account of the conflict and colonialism leading up to the genocide is offered in order to demonstrate the historical making of the ground of collective trauma in Rwanda. Further, this thesis examines the discursive means of the perpetuation of collective trauma in the form of the Hutu demonization of Tutsi women. Shortcomings in the justice system emerging from the genocide are also discussed as a perpetuation of trauma. Finally, projects of justice and healing among Tutsi women are examined in an account of survival and resiliency. In conclusion, women that survived the genocide have navigated through societal and governmental systems to provide better lives for themselves, their families and the society.
ContributorsArmitage, Rebecca Lainé (Author) / Stancliff, Michael (Thesis advisor) / Casper, Monica (Committee member) / Simmons, William (Committee member) / Arizona State University (Publisher)
Created2011
Description
Despite the extensive research on the consequences of migration, little is known about the effects of seasonal migration on fertility, contraception and sexually transmitted diseases in the countries of former Soviet Union, that have undergone vast demographic changes in the last two decades. Using cross-sectional data from two surveys conducted in Armenia in 2005 and 2007, this dissertation is exploring the effects of seasonal migration on reproductive behavior and outcomes, as well as sexual health among women left-behind. The dissertation is constructed of three independent studies that combined draw the broad picture of the consequences of seasonal migration in this part of the world. The first study, "Seasonal migration and fertility in low-fertility areas of origin" looks at the effect of seasonal migration on yearly pregnancy rates, lifetime fertility, and fertility preferences among women and their husbands. The models are fitted using discrete-time logistic regression, and random-intercept logistic regression for negative binomial and binary outcomes, correspondingly. The findings show that seasonal migration in low-fertility settings does not further disrupt fertility levels in a short-, or long-run, contradicting to the findings from high-fertility settings. However, the study provides some evidence that seasonal migration is associated with increased fertility preferences among migrant men. The second study, "Seasonal migration and contraception among women left-behind", examines the associations between migration and modern contraceptive use, by looking at current contraceptive use and the history of abortions. A series of random-intercept logistic regression models reveal that women with migrant partners are significantly less likely to use modern contraceptives, than women married to non-migrants. They also have higher rates of abortions; however this effect is moderated by the socioeconomic status of the household. The third study, "Seasonal migration and risks of sexually transmitted diseases (STDs) among women left-behind", looks at the effects of seasonal migration on the diagnosed STDs in the last three years, and self reported STD-like symptoms in the last twelve months. The results of random-intercept logistic regression for negative binomial and binary outcomes provide strong evidence of increased STD risks among migrants' wives; however, this effect is also moderated by the household income.
ContributorsSevoyan, Arusyak (Author) / Agadjanian, Victor (Thesis advisor) / Haas, Steven (Committee member) / Yabiku, Scott (Committee member) / Arizona State University (Publisher)
Created2011