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Partisan politics has created an increasingly polarized political climate in the United States. Despite the divisive political climate, women’s representation in politics has also increased drastically over the years. I began this project to see if there is a partisan rivalry between women in politics or a sense of shared

Partisan politics has created an increasingly polarized political climate in the United States. Despite the divisive political climate, women’s representation in politics has also increased drastically over the years. I began this project to see if there is a partisan rivalry between women in politics or a sense of shared “womanhood.” This thesis explores the role political parties play for women in office by examining how they vote on bills, what type of bills they propose, and whether or not they work collaboratively with their female counterparts at the Arizona State Legislature. My main goals for this project are to see how strong or weak political parties are in shaping political behavior at the Arizona State Legislature and to determine if there is a sense of “womanhood” despite different political affiliations. I also explore the role party affiliation plays within women legislators at the Arizona State Legislature.

ContributorsSanson, Claudia Maria (Author) / Lennon, Tara (Thesis director) / Woodall, Gina (Committee member) / School of Public Affairs (Contributor) / Department of English (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description

The Arizona Teachers Academy is a program that was first designed and implemented by Governor Doug Ducey in 2017 with a simple concept: to cover the tuition and fees of Arizona higher education students learning to teach in exchange for fulfilling a commitment to teach at an Arizona public school

The Arizona Teachers Academy is a program that was first designed and implemented by Governor Doug Ducey in 2017 with a simple concept: to cover the tuition and fees of Arizona higher education students learning to teach in exchange for fulfilling a commitment to teach at an Arizona public school following graduation. The academy has evolved quite rapidly in its short history, going from an unfunded mandate that Arizona universities could not afford to be funded to a voter-approved tax, and seeing its student enrollment numbers increase by over tenfold. This paper seeks to be an overview and process evaluation of the program, as well as an outlook into the program’s future. As a process evaluation, the thesis includes examinations of the program’s presumed logic model, that model’s assumptions, and relevant stakeholders. I used a multi-method approach: statutory and financial data were collected from web research and agency archival collections, and a series of interviews were conducted to ask analytical questions to key stakeholders and program directors about the program’s internal operations and data findings. These stakeholders and program directors consist of staff at the Arizona Board of Regents, the Arizona Department of Education, all three major Arizona public universities (Arizona State University, Northern Arizona University, and the University of Arizona), as well as multiple elected officials and political advocacy groups that have impacted the program through legislation and ballot initiative. This thesis finds that the Arizona Teachers Academy does not have a stated logic model, which in turn led to program assumptions that fail to meet the needs of Arizona public schools and did not allow for all key stakeholders to be involved in the process.

ContributorsLister, Blake (Author) / Lennon, Tara (Thesis director) / Broberg, Gregory (Committee member) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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The Constitution is a document that was made over 200 years ago by a population that could have never imagined the type of technology or social advances made in the 21st century. This creates a natural rift between governing ideals between then and now, that needs to be addressed. Rather

The Constitution is a document that was made over 200 years ago by a population that could have never imagined the type of technology or social advances made in the 21st century. This creates a natural rift between governing ideals between then and now, that needs to be addressed. Rather than holding the values of the nation to a time when people were not considered citizens because of the color of their skin, there need to be updates made to the Constitution itself. The need for change and the mechanisms were both established by the Framers while creating and advancing the Constitution. The ideal process to go about these changes is split between the formal Article V amendment process and judicial activism. The amendment process has infinite scope for changes that can be done, but due to the challenge involved in trying to pass any form of the amendment through both State and Federal Congresses, that process should be reserved for only fundamental or structural changes. Judicial activism, by way of Supreme Court decisions, is a method best applied to the protection of people’s rights.

Created2021-05
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The thesis analyzes the apathetic youth turnout myth and researches to see if voter suppression can explain the reason behind low youth turnout. This thesis is a study done with Arizona State University students to assess their level of voter turnout, their levels of political engagement, and if they have

The thesis analyzes the apathetic youth turnout myth and researches to see if voter suppression can explain the reason behind low youth turnout. This thesis is a study done with Arizona State University students to assess their level of voter turnout, their levels of political engagement, and if they have experienced voter suppression. Respondents were also asked about the support given by ASU in terms of helping with the voting process. Results indicate that Arizona State students have high levels of political engagement, and that 1 in 5 ASU students have experienced voter suppression. Furthermore, ASU students on a whole are uncertain about the role ASU should play in supporting students with the voting process.

Created2021-05
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Inspired by John Rawls and his life's work Justice as Fairness, I sought to measure how much political empathy a person has and then compare this to decision-making styles in search of any relation between the two. Political empathy is a term to refer to one's willingness to utilize governmental

Inspired by John Rawls and his life's work Justice as Fairness, I sought to measure how much political empathy a person has and then compare this to decision-making styles in search of any relation between the two. Political empathy is a term to refer to one's willingness to utilize governmental policy to help those who are the neediest because of the understanding that humans deserve equal treatment since no one is more human than anyone else. Because of current research I found that I can test political empathy because of empathy’s correlation with political ideology; specifically, that those who are more liberal have more empathy. I test participant’s ideology in a normal setting and then present them with the concept of Rawls’ Original Position to see if they shift more one way when presented with this idea which is supposed to make them think more empathetically.<br/>I have two hypothesis that I cover: first, that more people will shift in a more liberal direction between the two tests, and second, that those who have more political empathy make political decisions based more on emotion rather than facts and reason. I tested decision-making through a myriad of tests within a focus group so I could get multiple angles at the issue. My first hypothesis was proven incorrect and while I didn’t have enough participants in my focus groups to make a clear determination, it didn’t look like there was any correlation between political ideology and decision-making styles.

Created2021-05
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In an effort to begin validating the large number of discovered candidate biomarkers, proteomics is beginning to shift from shotgun proteomic experiments towards targeted proteomic approaches that provide solutions to automation and economic concerns. Such approaches to validate biomarkers necessitate the mass spectrometric analysis of hundreds to thousands of human

In an effort to begin validating the large number of discovered candidate biomarkers, proteomics is beginning to shift from shotgun proteomic experiments towards targeted proteomic approaches that provide solutions to automation and economic concerns. Such approaches to validate biomarkers necessitate the mass spectrometric analysis of hundreds to thousands of human samples. As this takes place, a serendipitous opportunity has become evident. By the virtue that as one narrows the focus towards "single" protein targets (instead of entire proteomes) using pan-antibody-based enrichment techniques, a discovery science has emerged, so to speak. This is due to the largely unknown context in which "single" proteins exist in blood (i.e. polymorphisms, transcript variants, and posttranslational modifications) and hence, targeted proteomics has applications for established biomarkers. Furthermore, besides protein heterogeneity accounting for interferences with conventional immunometric platforms, it is becoming evident that this formerly hidden dimension of structural information also contains rich-pathobiological information. Consequently, targeted proteomics studies that aim to ascertain a protein's genuine presentation within disease- stratified populations and serve as a stepping-stone within a biomarker translational pipeline are of clinical interest. Roughly 128 million Americans are pre-diabetic, diabetic, and/or have kidney disease and public and private spending for treating these diseases is in the hundreds of billions of dollars. In an effort to create new solutions for the early detection and management of these conditions, described herein is the design, development, and translation of mass spectrometric immunoassays targeted towards diabetes and kidney disease. Population proteomics experiments were performed for the following clinically relevant proteins: insulin, C-peptide, RANTES, and parathyroid hormone. At least thirty-eight protein isoforms were detected. Besides the numerous disease correlations confronted within the disease-stratified cohorts, certain isoforms also appeared to be causally related to the underlying pathophysiology and/or have therapeutic implications. Technical advancements include multiplexed isoform quantification as well a "dual- extraction" methodology for eliminating non-specific proteins while simultaneously validating isoforms. Industrial efforts towards widespread clinical adoption are also described. Consequently, this work lays a foundation for the translation of mass spectrometric immunoassays into the clinical arena and simultaneously presents the most recent advancements concerning the mass spectrometric immunoassay approach.
ContributorsOran, Paul (Author) / Nelson, Randall (Thesis advisor) / Hayes, Mark (Thesis advisor) / Ros, Alexandra (Committee member) / Williams, Peter (Committee member) / Arizona State University (Publisher)
Created2011
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Signal processing techniques have been used extensively in many engineering problems and in recent years its application has extended to non-traditional research fields such as biological systems. Many of these applications require extraction of a signal or parameter of interest from degraded measurements. One such application is mass spectrometry immunoassay

Signal processing techniques have been used extensively in many engineering problems and in recent years its application has extended to non-traditional research fields such as biological systems. Many of these applications require extraction of a signal or parameter of interest from degraded measurements. One such application is mass spectrometry immunoassay (MSIA) which has been one of the primary methods of biomarker discovery techniques. MSIA analyzes protein molecules as potential biomarkers using time of flight mass spectrometry (TOF-MS). Peak detection in TOF-MS is important for biomarker analysis and many other MS related application. Though many peak detection algorithms exist, most of them are based on heuristics models. One of the ways of detecting signal peaks is by deploying stochastic models of the signal and noise observations. Likelihood ratio test (LRT) detector, based on the Neyman-Pearson (NP) lemma, is an uniformly most powerful test to decision making in the form of a hypothesis test. The primary goal of this dissertation is to develop signal and noise models for the electrospray ionization (ESI) TOF-MS data. A new method is proposed for developing the signal model by employing first principles calculations based on device physics and molecular properties. The noise model is developed by analyzing MS data from careful experiments in the ESI mass spectrometer. A non-flat baseline in MS data is common. The reasons behind the formation of this baseline has not been fully comprehended. A new signal model explaining the presence of baseline is proposed, though detailed experiments are needed to further substantiate the model assumptions. Signal detection schemes based on these signal and noise models are proposed. A maximum likelihood (ML) method is introduced for estimating the signal peak amplitudes. The performance of the detection methods and ML estimation are evaluated with Monte Carlo simulation which shows promising results. An application of these methods is proposed for fractional abundance calculation for biomarker analysis, which is mathematically robust and fundamentally different than the current algorithms. Biomarker panels for type 2 diabetes and cardiovascular disease are analyzed using existing MS analysis algorithms. Finally, a support vector machine based multi-classification algorithm is developed for evaluating the biomarkers' effectiveness in discriminating type 2 diabetes and cardiovascular diseases and is shown to perform better than a linear discriminant analysis based classifier.
ContributorsBuddi, Sai (Author) / Taylor, Thomas (Thesis advisor) / Cochran, Douglas (Thesis advisor) / Nelson, Randall (Committee member) / Duman, Tolga (Committee member) / Arizona State University (Publisher)
Created2012
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Cancer claims hundreds of thousands of lives every year in US alone. Finding ways for early detection of cancer onset is crucial for better management and treatment of cancer. Thus, biomarkers especially protein biomarkers, being the functional units which reflect dynamic physiological changes, need to be discovered. Though important, there

Cancer claims hundreds of thousands of lives every year in US alone. Finding ways for early detection of cancer onset is crucial for better management and treatment of cancer. Thus, biomarkers especially protein biomarkers, being the functional units which reflect dynamic physiological changes, need to be discovered. Though important, there are only a few approved protein cancer biomarkers till date. To accelerate this process, fast, comprehensive and affordable assays are required which can be applied to large population studies. For this, these assays should be able to comprehensively characterize and explore the molecular diversity of nominally "single" proteins across populations. This information is usually unavailable with commonly used immunoassays such as ELISA (enzyme linked immunosorbent assay) which either ignore protein microheterogeneity, or are confounded by it. To this end, mass spectrometric immuno assays (MSIA) for three different human plasma proteins have been developed. These proteins viz. IGF-1, hemopexin and tetranectin have been found in reported literature to show correlations with many diseases along with several carcinomas. Developed assays were used to extract entire proteins from plasma samples and subsequently analyzed on mass spectrometric platforms. Matrix assisted laser desorption ionization (MALDI) and electrospray ionization (ESI) mass spectrometric techniques where used due to their availability and suitability for the analysis. This resulted in visibility of different structural forms of these proteins showing their structural micro-heterogeneity which is invisible to commonly used immunoassays. These assays are fast, comprehensive and can be applied in large sample studies to analyze proteins for biomarker discovery.
ContributorsRai, Samita (Author) / Nelson, Randall (Thesis advisor) / Hayes, Mark (Thesis advisor) / Borges, Chad (Committee member) / Ros, Alexandra (Committee member) / Arizona State University (Publisher)
Created2012
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Abstract The United States has a very long history of putting laws into place that enable certain people to immigrate equally, but prevent others from doing so, thus promoting large undocumented populations. In many instances the people creating these laws cite worries that the people attempting to enter the United

Abstract The United States has a very long history of putting laws into place that enable certain people to immigrate equally, but prevent others from doing so, thus promoting large undocumented populations. In many instances the people creating these laws cite worries that the people attempting to enter the United States are a hazard to the country. Some examples of this include :the "Chinese Exclusion Act", which prevented people from China from immigrating, the internment of Japanese Americans during WWII, and the creating of various laws that designated Irish people as not being white during the 18th century. Now there is a debate over whether or not people who come to the United States undocumented with their parents at a young age should be barred from living here. These Dreamers are at the center of this often debated issue. A set of hour-long interviews has been conducted with seven dreamers in order to get their opinions on several topics. These include SB1070, the Dream Act, HB56, and a variety of other topics. In addition a comprehensive timeline and review of legislation concerning immigration has been created to provide a historical context. Lastly, my own conclusion about this topic have been presented.
ContributorsSprute, Eric Michael (Author) / Larson, Elizabeth (Thesis director) / Lennon, Tara (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor)
Created2015-05
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Who Put Out the Light? A Study of the FInancial Ruin in Greece, is a research study on the Greek economic crisis that led to Greece's financial ruin and nearly put the country into bankruptcy. I conducted a series of interviews on people from all walks of life while in

Who Put Out the Light? A Study of the FInancial Ruin in Greece, is a research study on the Greek economic crisis that led to Greece's financial ruin and nearly put the country into bankruptcy. I conducted a series of interviews on people from all walks of life while in Greece during the Summer of 2013. I investigated all of the possible factors that may have led to the catastrophic events they are currently undergoing and how each person was severely impacted. Moreover, I compared each person's political beliefs and how those beliefs may have factored into what they believe caused the beginning of this turmoil. Through this process, I have also come to find that there are many obscure and eye-opening laws that have been put in place both in Greece by their government, as well as by the European Union that may have factored into the detriment of the country. Furthermore, I wanted to depict the personal anguish of the people through pictures, thus adding a photojournalistic aspect to my thesis project.
ContributorsMakris, Demetra Margarita (Author) / Crittenden, Jack (Thesis director) / Lennon, Tara (Committee member) / Barrett, The Honors College (Contributor) / School of Politics and Global Studies (Contributor)
Created2014-05