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In the past decade, a significant shift has emerged around immigration policy, as advocates and policymakers have made various efforts to pass state and local policies related to immigrant integration or restrictions. This thesis offers original insights into current dynamics in immigration federalism through interviews with lawmakers and community activists

In the past decade, a significant shift has emerged around immigration policy, as advocates and policymakers have made various efforts to pass state and local policies related to immigrant integration or restrictions. This thesis offers original insights into current dynamics in immigration federalism through interviews with lawmakers and community activists in Arizona, a leading state when it comes to restricting the lives of undocumented immigrants. Advancing a new framework that connects the lived experience of officials and activists to partisanship, policy, key events, demographics, and racializing events, this thesis bridges isolated bodies of scholarship on immigration and seeks to demonstrate how every person (not just immigrant) are part of America’s current challenges to become a more inclusive nation of immigrants.

ContributorsNeville, Christopher Francis (Author) / Colbern, Allan (Thesis director) / Martinez-Orosco, Rafael (Committee member) / School of Social and Behavioral Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Something Like Human explores corporate social responsibility through a triple lens, providing a content analysis using previous literature and history as the standards for evaluation. Section I reviews the history of corporate social responsibility and how it is currently understood and employed today. Section II turns its focus to a

Something Like Human explores corporate social responsibility through a triple lens, providing a content analysis using previous literature and history as the standards for evaluation. Section I reviews the history of corporate social responsibility and how it is currently understood and employed today. Section II turns its focus to a specific socially conscious corporation, Lush Cosmetics, examining its practices considering the concepts provided in Section I and performing a close analysis of its promotional materials. Section III consists of a mock marketing campaign designed for Lush in light of their social commitments. By the end of this thesis, the goal for the reader is to ask: Can major corporations be something like human?

ContributorsDalgleish, Alayna Rose (Author) / Gruber, Diane (Thesis director) / Thornton, Leslie-Jean (Committee member) / School of Social and Behavioral Sciences (Contributor, Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Veterans are approximately 30% more likely than non-veterans to suffer from severe hearing impairment. Tinnitus, or ringing in the ears, which is increasingly common among military service men and women, has been linked to significant cognitive and psychological impairment and can be worsened by the same sounds that trigger post-traumatic

Veterans are approximately 30% more likely than non-veterans to suffer from severe hearing impairment. Tinnitus, or ringing in the ears, which is increasingly common among military service men and women, has been linked to significant cognitive and psychological impairment and can be worsened by the same sounds that trigger post-traumatic stress disorder (PTSD). In fact, tinnitus and PTSD often present as comorbidities, and recent studies suggest these two disorders may share a common neurological pathway. Additional studies are required to better understand the connection between hearing loss and impaired cognitive function such as that observed in with PTSD. Here, we use the fruit fly, Drosophila melanogaster, to explore the relationship between hearing loss and cognitive function. Negative geotaxis climbing assays and courtship behavior analysis were used to examine neurobehavioral changes induced by prolonged, intense auditory stimulation. Preliminary results suggest that exposure to loud noise for an extended period of time significantly affected Drosophila behavior, with males being more sensitive than females. Based on our results, there appears to be a potential connection between noise exposure and behavior, further suggesting that Drosophila could be an effective model to study the link between hearing loss and PTSD.

ContributorsMichael, Allison Faye (Author) / Hackney-Price, Jennifer (Thesis director) / Sellner, Erin (Committee member) / School of Social and Behavioral Sciences (Contributor) / School of Mathematical and Natural Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Socioeconomic differences have driven society and laid the foundation for the types of opportunities and resources one is eligible to receive. Higher socioeconomic status provides individuals the chance of obtaining an overall better education, occupation, and income. We see this with particular clarity when we examine healthcare. The World Health

Socioeconomic differences have driven society and laid the foundation for the types of opportunities and resources one is eligible to receive. Higher socioeconomic status provides individuals the chance of obtaining an overall better education, occupation, and income. We see this with particular clarity when we examine healthcare. The World Health Organization has regarded healthcare as a fundamental human right, except socioeconomically disadvantaged individuals not only do not have equal access to healthcare, but they also often receive a lower quality of care. These socioeconomic differences are often paired with racial differences, resulting in one group, or set of groups, having social advantage over the others. Although this problem has been discussed throughout the past century, it has not been properly addressed materially and practically. Unequal access to quality healthcare is especially highlighted throughout the COVID-19 pandemic, where there has been evidence that minorities, in particular Black communities, have received inadequate care. Quality healthcare has become unaffordable and a luxury that only certain groups get the privilege of receiving. Not only that, but the ongoing inequalities in the healthcare system have gone so far that they have instilled hostility and mistrust towards the healthcare system.

ContributorsMartinez Castro, Karen (Author) / Sturgess, Jessica (Thesis director) / Sellner, Erin (Committee member) / School of Social and Behavioral Sciences (Contributor) / School of Mathematical and Natural Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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In 2020, the world was swept by a global pandemic. It disrupted the lives of millions; many lost their jobs, students were forced to leave schools, and children were left with little to do while quarantined at their houses. Although the media outlets covered very little of how children were

In 2020, the world was swept by a global pandemic. It disrupted the lives of millions; many lost their jobs, students were forced to leave schools, and children were left with little to do while quarantined at their houses. Although the media outlets covered very little of how children were being affected by COVID-19, it was obvious that their group was not immune to the issues the world was facing. Being stuck at home with little to do took a mental and physical toll on many kids. That is when EVOLVE Academy became an idea; our team wanted to create a fully online platform for children to help them practice and evolve their athletics skills, or simply spend part of their day performing a physical and health activity. Our team designed a solution that would benefit children, as well as parents that were struggling to find engaging activities for their kids while out of school. We quickly encountered issues that made it difficult for us to reach our target audience and make them believe and trust our platform. However, we persisted and tried to solve and answer the questions and problems that came along the way. Sadly, the same pandemic that opened the widow for EVOLVE Academy to exist, is now the reason people are walking away from it. Children want real interaction. They want to connect with other kids through more than just a screen. Although the priority of parents remains the safety and security of their kids, parents are also searching and opting for more “human” interactions, leaving EVOLVE Academy with little room to grow and succeed.

ContributorsHernandez, Melany (Co-author) / Parmenter, Taylor (Co-author) / Byrne, Jared (Thesis director) / Kunowski, Jeffrey (Committee member) / Lee, Christopher (Committee member) / Thunderbird School of Global Management (Contributor, Contributor) / School of Social and Behavioral Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description

Evidence of a widening political divide between the Democrat and Republican parties creates concern over the possible ramifications of this phenomenon. One method of assessing dissonance between political parties is through a medium that is shaped by personal beliefs: online dating. Previous research finds that political choice homophily, or a

Evidence of a widening political divide between the Democrat and Republican parties creates concern over the possible ramifications of this phenomenon. One method of assessing dissonance between political parties is through a medium that is shaped by personal beliefs: online dating. Previous research finds that political choice homophily, or a preference for those who are politically similar, is relevant in online dating settings. Researchers find that individuals are significantly more likely to be attracted to or pursue others who have similar political views to themselves. There is, however, a gap in knowledge regarding online dating that occurs separately from conventional online dating sites. Mobile dating apps, applications that are highly popular amongst young adults, have not been thoroughly explored with political choice homophily in mind. The current study aims to test the correlation between dating preference and political beliefs, using the mobile dating app Bumble as a template for a mock (fake) dating app scenario. In the dating app survey that was distributed to 132 ASU students, participants completed a simulated “matching” section where they matched with a list of 15 fabricated Bumble profiles. The fake Bumble profiles randomly contained politically charged or politically neutral statements in the basic info section. Political affiliation of the participant was measured using a sliding scale that quantifies the unidimensional conservative-liberal spectrum on a 0-100 numerical scale. Findings of the survey show that there was no significant difference between participant preference towards politically charged vs. politically neutral mock profiles.

ContributorsGilmore, Ethan James (Author) / Lewis, Stephen (Thesis director) / Halavais, Alexander (Committee member) / School of Social and Behavioral Sciences (Contributor, Contributor) / Barrett, The Honors College (Contributor)
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
Description

This thesis will assess the relationship between race and perceptions of incarceration through responses gathered from interviews administered to men incarcerated at the Arizona State Prison Complex in Florence, Arizona. The interviews were conducted by incarcerated men through a Participatory Action Research (PAR) project to enhance the prison environment. Critically,

This thesis will assess the relationship between race and perceptions of incarceration through responses gathered from interviews administered to men incarcerated at the Arizona State Prison Complex in Florence, Arizona. The interviews were conducted by incarcerated men through a Participatory Action Research (PAR) project to enhance the prison environment. Critically, men who were interviewed answered the question “What would you do if you were the Director of the Department of Corrections?” The purpose of this thesis is twofold. First, what are the major themes provided to this question? Second, did these themes differ depending on the race or ethnicity of the respondent? The results from this survey can provide a more informed future for corrections that acknowledges the unique criminal justice system experiences held by members of different racial and ethnic groups.

ContributorsQuintero, Karen Rotna (Author) / Wright, Kevin (Thesis director) / Young, Jacob (Committee member) / School of Social and Behavioral Sciences (Contributor) / School of International Letters and Cultures (Contributor) / College of Health Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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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