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In the United States, some 94 million people (29% of the US population) live in areas immediately adjacent to a coast. The global phenomenon of climate-induced environmental change is largely framed as a one-way cause-and-effect relationship, where individuals, communities, and populations inhabiting at-risk locations are either forced to relocate or

In the United States, some 94 million people (29% of the US population) live in areas immediately adjacent to a coast. The global phenomenon of climate-induced environmental change is largely framed as a one-way cause-and-effect relationship, where individuals, communities, and populations inhabiting at-risk locations are either forced to relocate or do so of their own accord. Yet residents of such at-risk areas are increasingly actively choosing to remain, even as risk intensifies. Using a mixed-methods approach, this dissertation examines environmental perceptions, the internalization of risk, the influence of information sources, and how individuals residing in coastal locations process their migration decisions. Established migration and hazard frameworks and theory are poorly positioned to understand the environments’ role in migration decisions. From these perspectives, environmental factors are near exclusively framed as negative affective biophysical push factors. Migration frameworks also fail to adequately incorporate reasons for non-migration. This dissertation directly addresses both these gaps in understanding. This research utilizes data from across the Gulf Coast, with a focus on fieldwork from Terrebonne Parish, Louisiana, and a dataset of 123 surveys and 63 interviews across a diverse group of coastal residents. Residents perceive of their environment in much more robust terms than just the biophysical. A majority of terms incorporated social and cultural aspects of environment, and environmental meaning was expressed across a continuum of proximal (most important/close) to more distal (less important/distant) scales. Little support is found for the traditional idea that economic or natural-environmental factors are more influential in decisions to migrate away from ones’ home. In predicting migration intention, socially and environmentally derived variables improved migration model performance. This dissertation demonstrates that internalization of risk by coastal residents is not a straightforward relationship, but rather one mediated by; social-environmental factors, personal experience, sense of place, and trust, which in turn influences intention to migrate, move locally, or remain in place. Residents perceive of their environment far more broadly than current risk-management planning allows. Results provide coastal residents, as well as community leaders and emergency managers who perceive environment differently, new tools for productive engagement and future policy development within coastal landscapes.
ContributorsTill, Charlotte Emma (Author) / BurnSilver, Shauna (Thesis advisor) / Tsuda, Takeyuki (Committee member) / White, Dave (Committee member) / Arizona State University (Publisher)
Created2022
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Description
High throughput transcriptome data analysis like Single-cell Ribonucleic Acid sequencing (scRNA-seq) and Circular Ribonucleic Acid (circRNA) data have made significant breakthroughs, especially in cancer genomics. Analysis of transcriptome time series data is core in identifying time point(s) where drastic changes in gene transcription are associated with homeostatic to non-homeostatic cellular

High throughput transcriptome data analysis like Single-cell Ribonucleic Acid sequencing (scRNA-seq) and Circular Ribonucleic Acid (circRNA) data have made significant breakthroughs, especially in cancer genomics. Analysis of transcriptome time series data is core in identifying time point(s) where drastic changes in gene transcription are associated with homeostatic to non-homeostatic cellular transition (tipping points). In Chapter 2 of this dissertation, I present a novel cell-type specific and co-expression-based tipping point detection method to identify target gene (TG) versus transcription factor (TF) pairs whose differential co-expression across time points drive biological changes in different cell types and the time point when these changes are observed. This method was applied to scRNA-seq data sets from a SARS-CoV-2 study (18 time points), a human cerebellum development study (9 time points), and a lung injury study (18 time points). Similarly, leveraging transcriptome data across treatment time points, I developed methodologies to identify treatment-induced and cell-type specific differentially co-expressed pairs (DCEPs). In part one of Chapter 3, I presented a pipeline that used a series of statistical tests to detect DCEPs. This method was applied to scRNA-seq data of patients with non-small cell lung cancer (NSCLC) sequenced across cancer treatment times. However, this pipeline does not account for correlations among multiple single cells from the same sample and correlations among multiple samples from the same patient. In Part 2 of Chapter 3, I presented a solution to this problem using a mixed-effect model. In Chapter 4, I present a summary of my work that focused on the cross-species analysis of circRNA transcriptome time series data. I compared circRNA profiles in neonatal pig and mouse hearts, identified orthologous circRNAs, and discussed regulation mechanisms of cardiomyocyte proliferation and myocardial regeneration conserved between mouse and pig at different time points.
ContributorsNyarige, Verah Mocheche (Author) / Liu, Li (Thesis advisor) / Wang, Junwen (Thesis advisor) / Dinu, Valentin (Committee member) / Arizona State University (Publisher)
Created2022
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Description
Advancements in high-throughput biotechnologies have generated large-scale multi-omics datasets encompassing diverse dimensions such as genomics, epigenomics, transcriptomics, proteomics, metabolomics, metagenomics, and phenomics. Traditionally, statistical and machine learning-based approaches utilize single-omics data sources to uncover molecular signatures, dissect complicated cellular mechanisms, and predict clinical results. However, to capture the multifaceted pathological

Advancements in high-throughput biotechnologies have generated large-scale multi-omics datasets encompassing diverse dimensions such as genomics, epigenomics, transcriptomics, proteomics, metabolomics, metagenomics, and phenomics. Traditionally, statistical and machine learning-based approaches utilize single-omics data sources to uncover molecular signatures, dissect complicated cellular mechanisms, and predict clinical results. However, to capture the multifaceted pathological mechanisms, integrative multi-omics analysis is needed that can provide a comprehensive picture of the disease. Here, I present three novel approaches to multi-omics integrative analysis. I introduce a single-cell integrative clustering method, which leverages multi-omics to enhance the resolution of cell subpopulations. Applied to a Cellular Indexing of Transcriptomes and Epitopes (CITE-Seq) dataset from human Acute Myeloid Lymphoma (AML) and control samples, this approach unveiled nuanced cell populations that otherwise remain elusive. I then shift the focus to a computational framework to discover transcriptional regulatory trios in which a transcription factor binds to a regulatory element harboring a genetic variant and subsequently differentially regulates the transcription level of a target gene. Applied to whole-exome, whole-genome, and transcriptome data of multiple myeloma samples, this approach discovered synergetic cis-acting and trans-acting regulatory elements associated with tumorigenesis. The next part of this work introduces a novel methodology that leverages the transcriptome and surface protein data at the single-cell level produced by CITE-Seq to model the intracellular protein trafficking process. Applied to COVID-19 samples, this approach revealed dysregulated protein trafficking associated with the severity of the infection.
ContributorsMudappathi, Rekha (Author) / Liu, Li (Thesis advisor) / Dinu, Valentin (Committee member) / Sun, Zhifu (Committee member) / Arizona State University (Publisher)
Created2023
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Description
Social norms are unwritten behavioral codes. They direct individual behaviors, facilitate interpersonal coordination and cooperation, and lead to variation among human populations. Understanding how norms are maintained and how they change is critical for understanding human evolutionary psychology, social organization, and cultural change. This dissertation uses a mathematical model and

Social norms are unwritten behavioral codes. They direct individual behaviors, facilitate interpersonal coordination and cooperation, and lead to variation among human populations. Understanding how norms are maintained and how they change is critical for understanding human evolutionary psychology, social organization, and cultural change. This dissertation uses a mathematical model and a field study to answer two questions: First, what factors determine the content and dynamics of a social norm? Second, how do people make decisions in a normative context? The mathematical model finds that contrary to the popular belief that even arbitrary or deleterious social norms can be maintained once established because deviants suffer coordination failures and social sanctions, norms with continuously varying options cannot be maintained by the pressure to do what others do. Instead, continuous norms evolve to the optimum determined by environmental pressure, individual preferences, or cognitive processes. Therefore, the content of norms across human societies may be less historically constrained than previously assumed. The field study shows that unlike what rational choice theory predicts, people in a small-scale subsistence society do not calculate the ecological and social payoffs of different behaviors in a normative context, even when they have the information to do so. Instead, they rely heavily on social information about what others do. This decision-making algorithm, together with mental categorization that ignores small deviations, and cognitive biases that favor the division prescribed by the norm, maintain an ecologically inefficient and widely disliked cooperative surplus division norm in a Derung village, Dizhengdang, in Yunnan, China.
ContributorsYan, Minhua (Author) / Boyd, Robert (Thesis advisor) / Mathew, Sarah (Thesis advisor) / Hruschka, Daniel (Committee member) / Arizona State University (Publisher)
Created2023
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Description
Increasing globalization and the knowledge-based economy creates a higher-than-ever demand for skilled migrant labor. While Global North countries are the traditional destinations for skilled migrants, Global South countries have recently joined the race for such talent. The conventional migration scholarship does not adequately explain this increasing Global-North-to-South skilled migration. This

Increasing globalization and the knowledge-based economy creates a higher-than-ever demand for skilled migrant labor. While Global North countries are the traditional destinations for skilled migrants, Global South countries have recently joined the race for such talent. The conventional migration scholarship does not adequately explain this increasing Global-North-to-South skilled migration. This dissertation fills the gap by studying mobility and its underlying factors for skilled U.S. migrants in the Pearl River Delta region of China. Using data from semi-structured interviews and sketch mapping, this dissertation develops a capital-mobility framework and employs intersectionality theory to examine the impacts of skilled U.S. migrants’ capital and intentionality on global and local spatial mobility as well as occupational and social mobility. The first empirical paper highlights skilled U.S. migrants’ cross-border im/mobility and introduces the capital-mobility framework that argues migrants’ im/mobility outcomes are shaped by their aspirations to move, and the accumulation, transferability and convertibility of various forms of capital. While the migrants’ capital was smoothly transferred to China and facilitated their voluntary mobility, the continued accumulation of capital in China could not be fully transferred to the U.S. upon their return, thus causing involuntary immobility. Although they mostly had little intention of staying in China permanently, the COVID-19 accelerated their return. The second empirical chapter shows that one’s accumulation of capital could generate both enabling and limiting effects on their everyday mobility through influencing the capability to move and the demand for local travel. Whether migrants had intention to move around in the local city also affects their everyday im/mobility. The third empirical paper discusses skilled U.S. migrants’ occupational and social mobility and how they are influenced by the intersections of race, gender and citizenship. I coined the term “glass box” to explain the limited professional growth and segregated occupations of skilled U.S. migrants’ occupational mobility in China. Although their social mobility improved after moving to China, it declined after rising racial discrimination and xenophobia during the pandemic. This dissertation sheds light on the aspirations and capabilities for mobility among Global-North-to-South skilled migrants and provides policy recommendations for attracting and retaining skilled international migrants.
ContributorsTan, Yining (Author) / Li, Wei (Thesis advisor) / Tsuda, Takeyuki (Committee member) / Tong, Daoqin (Committee member) / Nelson, Trisalyn (Committee member) / Arizona State University (Publisher)
Created2022
Description

Existing research has shown that both ethnic discrimination and household wealth can shape child well-being and development. However, little work examines ethnic discrimination and its relation to income in predicting childhood health globally. This study explores two possible explanations for disparities in infant mortality between ethnic groups across countries worldwide.

Existing research has shown that both ethnic discrimination and household wealth can shape child well-being and development. However, little work examines ethnic discrimination and its relation to income in predicting childhood health globally. This study explores two possible explanations for disparities in infant mortality between ethnic groups across countries worldwide. The first is an explanation based on wealth differentials across ethnic groups. The second is the impact of forms of ethnic discrimination such as past lethal violence or forced labor experienced by the group. This study examines the correlation between ethnic discrimination and infant mortality using household wealth as a covariate. Analyses focused on 266 ethnicities in 40 low- and middle-income countries globally, drawing on infant mortality data from Demographic and Health Surveys and data on ethnic discrimination compiled by the Inclusive Human Learning Lab at Arizona State University. Findings without the inclusion of household wealth show that ethnic groups that predominantly spoke the state language had significantly lower rates of infant mortality. However, this trend disappears when income is added as a covariate. No other measures of discrimination or privilege were associated with infant mortality. Across all analyses, the wealth of the ethnic group was a significant predictor of infant mortality. Future studies should examine whether these trends persist in high-income countries, and whether the general lack of association of discrimination and privilege variables with infant mortality is influenced by how the variables were coded.

ContributorsUn, Anthony (Author) / Hruschka, Daniel (Thesis director) / Drake, Alexandria (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / School of Human Evolution & Social Change (Contributor)
Created2023-05
Description

For African countries during the 1960s and 70s, decolonization marked the first step in a slow crawl toward complete independence. For Western powers and the Soviet Union, however, decolonization presented an opportunity to exert new influence over countries in desperate need of aid, investment, experts, and trade. Amidst the backdro

For African countries during the 1960s and 70s, decolonization marked the first step in a slow crawl toward complete independence. For Western powers and the Soviet Union, however, decolonization presented an opportunity to exert new influence over countries in desperate need of aid, investment, experts, and trade. Amidst the backdrop of increasing Cold War tensions, the US and USSR used foreign aid to pressure development according to either capitalist or Marxist agendas. Thus, sub-Saharan Africa became a battleground of proxy wars and neocolonialism. The Cold War superpowers would back opposing regimes in Angola and prop up, oust, or assassinate leaders in Ghana, Democratic Republic of the Congo, and Tanzania. This disrupted natural political development and created instability and violence, which was compounded by the arrival of the AIDS epidemic in the mid-1980s. AIDS ravaged African societies and destroyed the remaining fibers of leadership. The disease illuminated harsh historical realities as it spread among the conflict-stricken countries of sub-Saharan Africa. The goal of this thesis is to analyze the motivations behind US and USSR foreign aid during the Cold War, understand how their involvement halted the natural progression of pan-Africanism and leadership in newly-independent African countries, and link the resulting violence to the devastation of the AIDS crisis twenty years later. It begins with a look at European colonization in sub-Saharan Africa and traces the legacy of western influence in the region. The paper will then analyze specific examples of the consequences of historical interference, such as in the Angolan Civil War, the Congo Crisis, and the Rwandan genocide. It will introduce the AIDS crisis—coincident with major civil conflict and the end of the Cold War—and reveal the foreign aid response of the international community in the late 1990s and early 2000s, once Cold War-era pressures were gone. Through realizing the continued impact and spread of HIV/AIDS, the objective of this paper is to present a comprehensive view of the modern-day consequences of historical interference.

ContributorsStaker, Gabrielle (Author) / Niebuhr, Robert (Thesis director) / Hruschka, Daniel (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / School of Human Evolution & Social Change (Contributor)
Created2023-05
Description

The electronic dance music (EDM) rave community prides itself in fostering an all- accepting subculture for people to unite in style, song, and dance. Based on the principles of Peace, Love, Unity, and Respect (PLUR), rave events have unique and colorful themes, bass levels you can feel in your heart,

The electronic dance music (EDM) rave community prides itself in fostering an all- accepting subculture for people to unite in style, song, and dance. Based on the principles of Peace, Love, Unity, and Respect (PLUR), rave events have unique and colorful themes, bass levels you can feel in your heart, bright and invigorating laser light shows, and in many cases, a heavy presence of both legal and illegal drug use. Because of the association with illegal substances, open discussions regarding drug presence, use, and harm reduction have been stigmatized and limited in the rave community. This study aims to evaluate the current level of knowledge and attitudes regarding drug presence and harm reduction among “ravers.” All participants were required to be of 18 years of age or older and have attended at least 1 EDM event in the past 5 years. The study involved two stages: (1) collecting qualitative data through in person, phone call, or Zoom interviews (n=14), and (2) collecting quantitative data through closed-ended, anonymous surveys via QuestionPro (n=64). The results indicate that a significant portion of participants in both stages express a desire for easily accessible harm reduction information and increased measures prior to and at EDM events. Starting an open dialogue about drug use and harm reduction efforts within this subculture could help create a safer environment and reduce the negative consequences of drug use.

ContributorsOrillo, Rebecca Marie (Author) / Hruschka, Daniel (Thesis director) / Olive, Foster (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2023-05
Description

The term “Iraqi American” defines any person of Iraqi origin who is residing in the United States. From 1960 until 2014, Iraq experienced numerous armed conflicts and international sanctions. As a result, a great surge of Iraqis migrated out of the country to seek refuge elsewhere. The United States alone

The term “Iraqi American” defines any person of Iraqi origin who is residing in the United States. From 1960 until 2014, Iraq experienced numerous armed conflicts and international sanctions. As a result, a great surge of Iraqis migrated out of the country to seek refuge elsewhere. The United States alone currently houses about 400,000+ persons of Iraqi descent, many of whom identify as its citizens. Despite that, Iraqi Americans remain severely understudied. Therefore, this study aims to understand the cultural barriers Iraqi American women face while seeking healthcare in the United States, and how these barriers can impact their behaviors. I collected data via semi-structured interviews with eight Iraqi American women. In this study, I identified five major themes that contributed to women’s healthcare seeking behaviors: societal/familial pressures, staying “pure,” shame associated with performing medical procedures, taboo surrounding discussions of female health conditions, and issues regarding being in the presence of male doctors. Many of these themes involved cultural stigmas and pointed to potential pathways to destigmatize women’s healthcare in the community. This study acts as an initiative to understanding Iraqi Americans better and lays groundwork for further research.

ContributorsRahee, Hajer (Author) / Hruschka, Daniel (Thesis director) / Drake, Alexandria (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / School of Human Evolution & Social Change (Contributor)
Created2023-05
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Description
Contact tracing was deployed widely during the COVID-19 pandemic to attempt to stop the spread of SARS Co-V-2. This dissertation investigates the research on contact tracing from a scientometric perspective and looks qualitatively at how case investigators and contact tracers conducted public health practice during the pandemic. Through

Contact tracing was deployed widely during the COVID-19 pandemic to attempt to stop the spread of SARS Co-V-2. This dissertation investigates the research on contact tracing from a scientometric perspective and looks qualitatively at how case investigators and contact tracers conducted public health practice during the pandemic. Through approaching the public health practice of contact tracing from both a broad, top-down angle, and an on the ground experiential approach, this dissertation provides insight into the issues facing contact tracing as a public health tool.
ContributorsWhite, Alexandra C. (Author) / Jehn, Megan (Thesis advisor) / Hruschka, Daniel (Committee member) / Gaughan, Monica (Committee member) / Arizona State University (Publisher)
Created2022