This thesis aims to advance healthcare and heart disease prevention by utilizing the Python programming language and various machine learning algorithms for heart disease detection. Being one of the main causes of death worldwide, cardiovascular disease is a serious global…
This thesis aims to advance healthcare and heart disease prevention by utilizing the Python programming language and various machine learning algorithms for heart disease detection. Being one of the main causes of death worldwide, cardiovascular disease is a serious global health concern. One person passes away from cardiovascular disease every 33 seconds in the United States alone. As the leading cause of death, early identification becomes critical for early intervention and prevention. The study addresses key research questions, including the role of machine learning in enhancing heart disease detection, comparative analysis of the six machine learning models, and the importance of predictive indicators. By leveraging machine learning algorithms for medical data interpretation, the thesis contributes insights into early disease detection.
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Despite historical significance, minimal research has expanded upon initial findings on sundown towns, particularly as they relate to contemporary economic opportunity. While previous literature has examined economic indicators in former sundown towns within the Midwest, the level of opportunity for…
Despite historical significance, minimal research has expanded upon initial findings on sundown towns, particularly as they relate to contemporary economic opportunity. While previous literature has examined economic indicators in former sundown towns within the Midwest, the level of opportunity for those born into these places has yet to be explored. In comparison to the county and locality scales used in previous analysis, emerging literature suggests that factors contributing to opportunity take place at the hyper-local level. Building upon this, this analysis explores the economic mobility of low-income children born into former sundown towns at the Census tract level, in addition to expanding the scope of analysis across the contiguous United States. Findings suggest that while former sundown towns are positively correlated with upward mobility for White and Hispanic children, they provide no unique benefits for Black children born into them. These results are in line with previous findings, furthering ideas of historic race-based processes contributing to contemporary exclusions of opportunity.
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Equity concerning food access has gained a lot of attention in the past decades. This problem can be seen in the dearth of supermarkets offering healthy food at reasonable prices in disadvantaged neighborhoods. Numerous studies show that the disparity in…
Equity concerning food access has gained a lot of attention in the past decades. This problem can be seen in the dearth of supermarkets offering healthy food at reasonable prices in disadvantaged neighborhoods. Numerous studies show that the disparity in the distribution of food outlets has resulted in disparities in health outcomes. To mitigate the issue, various intervention strategies have been proposed and implemented, including introducing new supermarkets, mobile food markets, community gardens, and city farms in these neighborhoods. Among these strategies, mobile food markets have gained the attention of practitioners and policymakers for their low costs and service flexibility. Challenges remain in identifying the sites for best serving the people in need given limited resources. In this study, a new spatial optimization model is proposed to determine the best locations for mobile food markets in the City of Phoenix. The new model aims to cover the largest number of people with food access challenges while minimizing transportation costs. Compared with the existing mobile market sites, the sites provided by the new model can increase the coverage of low-food access residents with a shorter transportation distance. The new model has also been applied to help expand the service provider of the existing mobile food markets. In addition to mobile food markets, the method provided in this study can be extended to support the planning of other food outlets and food assistance services.
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Wildfire is a significant risk to property and people in the state of California. In 2018 alone, California's wildfire damages were estimated to be $148.5 Billion or 1.5% of the state's gross domestic product. Wildfire risks to property and people…
Wildfire is a significant risk to property and people in the state of California. In 2018 alone, California's wildfire damages were estimated to be $148.5 Billion or 1.5% of the state's gross domestic product. Wildfire risks to property and people are at their highest at the intersection of flammable wildland vegetation and the built environment, a space called the Wildland Urban Interface or “WUI”. Existing methods for delineating the WUI, however, tend to be coarse in both spatial and temporal resolution, resulting in less precise estimates of WUI extent and change. This thesis uses high-resolution spatio-temporal data and classification methods to remap the WUI in California and to reassess the risk of residents and homes to wildfire. The findings from this analysis reveal that approximately $1.34 Trillion or 40% of the improved residential property value in the state falls within high wildfire risk areas. Likewise, areas classified as WUI account for over 10% of California's land area or a total of 43,205 square kilometers. While WUI areas cover a considerable portion of the state, the addition of a temporal element in this research shows WUI growth in California has slowed considerably over the past 10 years. The unique structure-level data integration strategy applied in this thesis provides a streamlined and expandable process for monitoring the WUI, enabling these new estimates of the hazard risk profiles of areas, structures, and people.
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This paper explores if there is a relationship between neighborhoods foreclosures and future social mobility in Maricopa County. Using data from various sources, we constructed a statistical model, multiple regression analysis, and maps to demonstrate patterns across Maricopa County, Arizona.
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For over a century, it has been commonly observed that the pace-of-life in modern society appears to be significantly faster than in non-modern societies, but exactly what forces drive these differences continue to be both hotly debated and difficult to…
For over a century, it has been commonly observed that the pace-of-life in modern society appears to be significantly faster than in non-modern societies, but exactly what forces drive these differences continue to be both hotly debated and difficult to study. While prior studies on pace-of-life have focused on population-level correlations between these factors and pace-of-life, they provide few details about how changes to pace-of-life associated with modernity actually occur in context. This study addresses the issue from a historical perspective, attempting to identify what factors are relevant to a change of pace-of-life in a non-modern to modern lifestyle transition over a single lifetime. This study performs a historical analysis, examining changes in pace-of-life experienced by students of the Carlisle Indian Industrial School, an Indian residential school operating in the late 19th and early 20th centuries, as compared to the non-modern lifestyle of the Plains Indian Cultures from the same time period. This study finds that the pace-of-life experienced by students at Carlisle were consistently faster, more intense and more regimented than in non-modern lifestyles. Such changes in pace-of-life were driven in large part by efforts of the school to transform the students behavior into a model the administration considered more suited to life in a modern society, chiefly, time-disciplined, individualistic, future oriented and competitive laborers. This case highlights that the role of individual behavioral manipulation by large-scale institutions is an underappreciated force in changes to pace-of-life in modern society.
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Since the genre's inception more than half a century ago, metal music has maintained its place as a major music genre and culture across the globe. With hundreds of thousands of bands spread across every continent, the genre has become…
Since the genre's inception more than half a century ago, metal music has maintained its place as a major music genre and culture across the globe. With hundreds of thousands of bands spread across every continent, the genre has become a diverse canvas of continually changing translocal scenes. Serious scholarship covering metal music has been propagating across academic fields since the 90s with a wide variety of approaches, but quantitative studies of the genre almost always depict metal as a monolith; a singular uniform entity without internal variation. This research aims to illustrate how quantitative analysis of metal can accurately reflect the genre’s major content variations, first by constructing a dataset of the Encyclopaedia Metallum: The Metal Archive that reflects major subgenre and lyrical themes within metal, and then applying said dataset to understand how metals content shifts both between major subgenres and across geographic space.
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