Theses and Dissertations
This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students.
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Description
The NFL is one of largest and most influential industries in the world. In America there are few companies that have a stronger hold on the American culture and create such a phenomena from year to year. In this project aimed to develop a strategy that helps an NFL team be as successful as possible by defining which positions are most important to a team's success. Data from fifteen years of NFL games was collected and information on every player in the league was analyzed. First there needed to be a benchmark which describes a team as being average and then every player in the NFL must be compared to that average. Based on properties of linear regression using ordinary least squares this project aims to define such a model that shows each position's importance. Finally, once such a model had been established then the focus turned to the NFL draft in which the goal was to find a strategy of where each position needs to be drafted so that it is most likely to give the best payoff based on the results of the regression in part one.
ContributorsBalzer, Kevin Ryan (Author) / Goegan, Brian (Thesis director) / Dassanayake, Maduranga (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
The concentration factor edge detection method was developed to compute the locations and values of jump discontinuities in a piecewise-analytic function from its first few Fourier series coecients. The method approximates the singular support of a piecewise smooth function using an altered Fourier conjugate partial sum. The accuracy and characteristic features of the resulting jump function approximation depends on these lters, known as concentration factors. Recent research showed that that these concentration factors could be designed using aexible iterative framework, improving upon the overall accuracy and robustness of the method, especially in the case where some Fourier data are untrustworthy or altogether missing. Hypothesis testing methods were used to determine how well the original concentration factor method could locate edges using noisy Fourier data. This thesis combines the iterative design aspect of concentration factor design and hypothesis testing by presenting a new algorithm that incorporates multiple concentration factors into one statistical test, which proves more ective at determining jump discontinuities than the previous HT methods. This thesis also examines how the quantity and location of Fourier data act the accuracy of HT methods. Numerical examples are provided.
ContributorsLubold, Shane Michael (Author) / Gelb, Anne (Thesis director) / Cochran, Doug (Committee member) / Viswanathan, Aditya (Committee member) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
AARP estimates that 90% of seniors wish to remain in their homes during retirement. Seniors need assistance as they age, historically they have received assistance from either family members, nursing homes, or Continuing Care Retirement Communities. For seniors not wanting any of these options, there has been very few alternatives. Now, the emergence of the continuing care at home program is providing hope for a different method of elder care moving forward. CCaH programs offer services such as: skilled nursing care, care coordination, emergency response systems, aid with personal and health care, and transportation. Such services allow seniors to continue to live in their own home with assistance as their health deteriorates over time. Currently, only 30 CCaH programs exist. With the growth of the elderly population in the coming years, this model seems poised for growth.
ContributorsSturm, Brendan (Author) / Milovanovic, Jelena (Thesis director) / Hassett, Matthew (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
We seek a comprehensive measurement for the economic prosperity of persons with disabilities. We survey the current literature and identify the major economic indicators used to describe the socioeconomic standing of persons with disabilities. We then develop a methodology for constructing a statistically valid composite index of these indicators, and build this index using data from the 2014 American Community Survey. Finally, we provide context for further use and development of the index and describe an example application of the index in practice.
ContributorsTheisen, Ryan (Co-author) / Helms, Tyler (Co-author) / Lewis, Paul (Thesis director) / Reiser, Mark (Committee member) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Career information for degrees in statistics and data science according to frequently asked questions and twelve major categories of interest: arts, business, education, engineering, environment, government, law, medicine, science, social science, sports, and technology.
ContributorsDerby-Lawson, Lili (Author) / Zheng, Yi (Thesis director) / Zhang, Helen (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of International Letters and Cultures (Contributor) / Economics Program in CLAS (Contributor) / School of Sustainability (Contributor)
Created2023-05
Description
This paper examines the multifaceted challenges surrounding college students' nutrition, with a specific focus on Arizona State University (ASU). Examining economic shifts, psychological influences, nutrition knowledge, and body image dynamics, it reveals the profound impact on students' food security and eating behaviors. Despite existing initiatives, persistent gaps in resources remain, necessitating comprehensive interventions to support students effectively. In response, "The Ultimate Health Resource for ASU Students," a website, was developed as an innovative solution. This platform aims to empower students by providing a centralized hub to access vital resources, connect with peers, and discover nutritious recipes. Proposed strategies encompass expanding food pantry offerings, developing mobile applications for nutritional guidance, and fostering partnerships with local organizations. By tackling these challenges head-on and fostering a culture of support, ASU can ensure that all students have equitable access to nutritious food options and the necessary resources to thrive academically and personally. The website serves as a place of empowerment, offering practical solutions and fostering a sense of community among ASU students striving for optimal health and well-being.
ContributorsBuffington, Dillynn (Author) / Lujan, Lexy (Co-author) / O’Flaherty, Katherine (Thesis director) / Brand, Ashley (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / School of Geographical Sciences and Urban Planning (Contributor)
Created2024-05
Description
Bone loss affects millions of people every year posing a major public health problem. Currently, autograft and allograft bones are the only options for treating bone loss. Although, they pose many limitations including donor availability, immunogenicity risks, and the potential to carry a risk of disease and/or infection transmission to name a few. Therefore, there is a pressing clinical need to create a novel treatment that will promote bone repair. Alpha-ketoglutarate (aKG) was investigated as it plays an important role in cellular energy metabolism as a key intermediate in the Krebs cycle. It has been shown to stimulate the production of collagen in the bone repair process. However, controlling the release of aKG is important in being able to control where and how much new bone growth is stimulated. To address this aKG was delivered via a hyaluronic acid hydrogel and its release was controlled via the degradation of poly(alpha-ketoglutarate) microparticles (paKG MPs). paKG MPs were synthesized and characterized based on size, shape, and uniformity. The release of aKG from paKG MPs was evaluated, as well as the addition of paKG MPs into norbornene functionalized hyaluronic acid and maleimide functionalized hyaluronic acid hydrogels. Initial cell work was also done to grow osteoblasts for future work. It was found that paKG MPs were of the desired size and shape. The release of aKG from the paKG MPs was found to be sustained. The addition of paKG MPs in norbornene functionalized hyaluronic acid (NorHA) was found to be ineffective due to the opaqueness of the MPs. Maleimide functionalized hyaluronic acid (MaHA) hydrogels were chosen as an alternative delivery system for this reason. Future tests will be done on the addition of paKG MPs into MaHA hydrogels. Osteoblasts were also successfully grown and will be used in future studies.
ContributorsMahadevan, Emily (Author) / Holloway, Julianne (Thesis director) / Dugoni, Margaret (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / Harrington Bioengineering Program (Contributor)
Created2024-05