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ContributorsKapadia, Venus (Author) / Cook-Deegan, Robert (Thesis director) / Tsosie, Krystal (Committee member) / Barrett, The Honors College (Contributor) / Department of English (Contributor) / School of Music, Dance and Theatre (Contributor) / Department of Psychology (Contributor) / School of Life Sciences (Contributor)
Created2023-05
ContributorsKapadia, Venus (Author) / Cook-Deegan, Robert (Thesis director) / Tsosie, Krystal (Committee member) / Barrett, The Honors College (Contributor) / Department of English (Contributor) / School of Music, Dance and Theatre (Contributor) / Department of Psychology (Contributor) / School of Life Sciences (Contributor)
Created2023-05
Description

The burden of dementia and its primary cause, Alzheimer’s disease, continue to devastate many with no available cure although present research has delivered methods for risk calculation and models of disease development that promote preventative strategies. Presently Alzheimer’s disease affects 1 in 9 people aged 65 and older amounting to

The burden of dementia and its primary cause, Alzheimer’s disease, continue to devastate many with no available cure although present research has delivered methods for risk calculation and models of disease development that promote preventative strategies. Presently Alzheimer’s disease affects 1 in 9 people aged 65 and older amounting to a total annual healthcare cost in 2023 in the United States of $345 billion between Alzheimer’s disease and other dementias making dementia one of the costliest conditions to society (“2023 Alzheimer’s Disease Facts and Figures,” 2023). This substantial cost can be dramatically lowered in addition to a reduction in the overall burden of dementia through the help of risk prediction models, but there is still a need for models to deliver an individual’s predicted time of onset that supplements risk prediction in hopes of improving preventative care. The aim of this study is to develop a model used to predict the age of onset for all-cause dementias and Alzheimer’s disease using demographic, comorbidity, and genetic data from a cohort sample. This study creates multiple regression models with methods of ordinary least squares (OLS) and least absolute shrinkage and selection operator (LASSO) regression methods to understand the capacity of predictor variables that estimate age of onset for all-cause dementia and Alzheimer’s disease. This study is unique in its use of a diverse cohort containing 346 participants to create a predictive model that originates from the All of Us Research Program database and seeks to represent an accurate sampling of the United States population. The regression models generated had no predictive capacity for the age of onset but outline a simplified approach for integrating public health data into a predictive model. The results from the generated models suggest a need for continued research linking risk factors that estimate time of onset.

ContributorsGoeringer, Cayden (Author) / Holechek, Susan (Thesis director) / Sellner, Erin (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / School of Music, Dance and Theatre (Contributor)
Created2023-05
Description
This project seeks to motivate runners by creating an application that selectively plays music based on smartwatch metrics. This is done by analyzing metrics collected through a person’s smartwatch such as heart rate or running power and then selecting the music that best fits their workout’s intensity. This way, as

This project seeks to motivate runners by creating an application that selectively plays music based on smartwatch metrics. This is done by analyzing metrics collected through a person’s smartwatch such as heart rate or running power and then selecting the music that best fits their workout’s intensity. This way, as the workout becomes harder for the user, increasingly motivating music is played.
ContributorsDoyle, Niklas (Author) / Osburn, Steven (Thesis director) / Miller, Phillip (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of Music, Dance and Theatre (Contributor)
Created2023-05
Description

Studio 31 is a startup venture founded by Brandon Goldberg, Ryan Johnston, Samuel Vogel, and Ekaterina Korneva. The company offers affordable art prints created by aspiring artists through an online platform. Our mission is to connect these artists with art lovers and provide them with the tools to build sustainable

Studio 31 is a startup venture founded by Brandon Goldberg, Ryan Johnston, Samuel Vogel, and Ekaterina Korneva. The company offers affordable art prints created by aspiring artists through an online platform. Our mission is to connect these artists with art lovers and provide them with the tools to build sustainable careers. Key activities of Studio 31 include curating a set of artworks, maintaining a print-on-demand system for sustainable production, and penetration of the target market through strong digital media positioning. The field of art is replete with talented artists who are just starting their professional careers and are not represented in the art market. The works of art of such artists are unknown and inaccessible to the target audience, which complicates the process of their professional development and limits the variety of artworks available on the market. Studio 31 infiltrates the art community and forms partnerships with talented artists to then provide the target market with access to exclusive artwork through an established sales and production process. The advantages of an established business process are no risk to the artist, cost-efficient production that correlates with demand, and a predictable cash flow from operations. The current state of the industry and trends affecting the target market confirm the viability of Studio 31's business model. The covid-19 crisis has affected the art market, shifting focus to online sales. Moreover, due to people spending more time at home, the demand for art products has increased. Our team is uniquely positioned to bring the Studio 31 business plan to life. With Katrin, Ryan, Brandon, and Samuel as the management team, the project is supported by expertise in entrepreneurship, management and policy, economics, marketing and design Implementation and marketing are the key activities of the company on the way to gaining traction in the target market. Studio 31 will develop multiple direct and indirect distribution channels to provide customers with diversified access to offerings. The website will serve as the main direct channel to connect with buyers, displaying the full list of offers available for order. In addition, the company will be present on numerous social media platforms in order to notify the target audience of current offers in a timely manner. Both the website and social media accounts will grow through paid advertising and influencer marketing. The project's initial funding consists of Barrett, the Honors College Thesis Funding. These resources covered the overhead costs required to get started, such as the website and initial product prototypes. The seed funding will also be used for market research and business process testing to improve the company's performance and subsequently maximize profits. The team will resort to a crowdfunding strategy if additional funding resources are needed to cover the initial costs. The project will be presented to the public to receive financial assistance for business development. The investment will be encouraged by incentives such as discounts on future sales.

ContributorsKorneva, Ekaterina (Author) / Goldberg, Brandon (Co-author) / Johnston, Ryan (Co-author) / Vogel, Samuel (Co-author) / Byrne, Jared (Thesis director) / Thomasson, Anna (Committee member) / Boeh, Morgan (Committee member) / Barrett, The Honors College (Contributor) / Department of Management and Entrepreneurship (Contributor) / School of Music, Dance and Theatre (Contributor)
Created2023-05
Description

Studio 31 is a startup venture founded by Brandon Goldberg, Ryan Johnston, Samuel Vogel, and Ekaterina Korneva. The company offers affordable art prints created by aspiring artists through an online platform. Our mission is to connect these artists with art lovers and provide them with the tools to build sustainable

Studio 31 is a startup venture founded by Brandon Goldberg, Ryan Johnston, Samuel Vogel, and Ekaterina Korneva. The company offers affordable art prints created by aspiring artists through an online platform. Our mission is to connect these artists with art lovers and provide them with the tools to build sustainable careers. Key activities of Studio 31 include curating a set of artworks, maintaining a print-on-demand system for sustainable production, and penetration of the target market through strong digital media positioning. The field of art is replete with talented artists who are just starting their professional careers and are not represented in the art market. The works of art of such artists are unknown and inaccessible to the target audience, which complicates the process of their professional development and limits the variety of artworks available on the market. Studio 31 infiltrates the art community and forms partnerships with talented artists to then provide the target market with access to exclusive artwork through an established sales and production process. The advantages of an established business process are no risk to the artist, cost-efficient production that correlates with demand, and a predictable cash flow from operations. The current state of the industry and trends affecting the target market confirm the viability of Studio 31's business model. The covid-19 crisis has affected the art market, shifting focus to online sales. Moreover, due to people spending more time at home, the demand for art products has increased. Our team is uniquely positioned to bring the Studio 31 business plan to life. With Katrin, Ryan, Brandon, and Samuel as the management team, the project is supported by expertise in entrepreneurship, management and policy, economics, marketing and design Implementation and marketing are the key activities of the company on the way to gaining traction in the target market. Studio 31 will develop multiple direct and indirect distribution channels to provide customers with diversified access to offerings. The website will serve as the main direct channel to connect with buyers, displaying the full list of offers available for order. In addition, the company will be present on numerous social media platforms in order to notify the target audience of current offers in a timely manner. Both the website and social media accounts will grow through paid advertising and influencer marketing. The project's initial funding consists of Barrett, the Honors College Thesis Funding. These resources covered the overhead costs required to get started, such as the website and initial product prototypes. The seed funding will also be used for market research and business process testing to improve the company's performance and subsequently maximize profits. The team will resort to a crowdfunding strategy if additional funding resources are needed to cover the initial costs. The project will be presented to the public to receive financial assistance for business development. The investment will be encouraged by incentives such as discounts on future sales.

ContributorsGoldberg, Brandon (Author) / Johnston, Ryan (Co-author) / Vogel, Samuel (Co-author) / Korneva, Ekaterina (Co-author) / Byrne, Jared (Thesis director) / Thomasson, Anna (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / School of Music, Dance and Theatre (Contributor)
Created2023-05
Description

Director Wes Anderson enlisted the talents of composer Mark Mothersbaugh for his first four films (1996-2004), but suddenly decided to turn to composer Alexandre Desplat for the following five films (2009-2021). The question arises as to why this would be the case. In this paper I explore the career backgrounds

Director Wes Anderson enlisted the talents of composer Mark Mothersbaugh for his first four films (1996-2004), but suddenly decided to turn to composer Alexandre Desplat for the following five films (2009-2021). The question arises as to why this would be the case. In this paper I explore the career backgrounds of Mothersbaugh and Desplat including their musical influences and styles. I then examine Mothersbaugh’s music for The Life Aquatic with Steve Zissou and Desplat’s score for The French Dispatch. I analyze the use of music in these films and how it relates to the characters, their feelings, and their thoughts as well as how the music is intertwined with Anderson’s unique direction style. Part of this investigation will highlight the musical styles used, the mixture between composed and borrowed music, and the function of the music in the film to discover the similarities and differences between the two composers. With this paper I hope to fill a gap in the literature on film studies focused on the work of Anderson.

ContributorsReynolds, Margaret (Author) / Feisst, Sabine (Thesis director) / Busch, Ashlee (Committee member) / Barrett, The Honors College (Contributor) / School of Music, Dance and Theatre (Contributor) / Sanford School of Social and Family Dynamics (Contributor)
Created2023-05
Description

With an increase in Artificial Intelligence applications in the world of technology, its usage has extended as far as the world of business, with small, medium, and large firms offering both products and services for consumer and business use. Through its historical development, and the devolvement of frameworks, algorithms, and

With an increase in Artificial Intelligence applications in the world of technology, its usage has extended as far as the world of business, with small, medium, and large firms offering both products and services for consumer and business use. Through its historical development, and the devolvement of frameworks, algorithms, and basic toolkits, the application of AI in business was able to flourish. The development of multiple tools such as smart stethoscopes and conversational assistants throughout multiple industries has created a complex commercial enterprise of Artificial Intelligence for the specific genre of business and its applications today are bound to have major effects on the AI applications of tomorrow.

ContributorsPanigrahi, Astha (Author) / Roumina, Kavous (Thesis director) / Bejar, Arturo C. (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / School of Music, Dance and Theatre (Contributor)
Created2023-05
Description
The goal of this project is to create a lesson book to guide teachers and beginner students through the first six months of teaching and learning and to create a strong base of knowledge the student can draw upon throughout their time playing the harp. This lesson book is organized

The goal of this project is to create a lesson book to guide teachers and beginner students through the first six months of teaching and learning and to create a strong base of knowledge the student can draw upon throughout their time playing the harp. This lesson book is organized in three distinct sections: Level 1, Level 2, and Level 3. The sections were named to levels to more accurately describe the difficulty of the exercises and content. The lessons are designed to occur once a week so that each section may take two months to complete for a total of six months. The timing of the lessons are ultimately up to the teacher and student, however, as some may need more time while others can progress faster. The lessons are planned to last about 30 minutes, as longer would be difficult for the young student to sit still and pay attention, although the length of the lesson is also up to the teacher and the student. Attached to the lessons are links to the pieces so that the teacher and student may hear how the piece sounds before playing it.
ContributorsMcAllister, Jacquelyn (Author) / Stauffer, Sandra (Thesis director) / Glasser, Scott (Committee member) / Barrett, The Honors College (Contributor) / School of Music, Dance and Theatre (Contributor) / Edson College of Nursing and Health Innovation (Contributor)
Created2023-12
Description
This study examines the linkage between surface level ozone and planetary boundary layer meteorological variables in the Phoenix Metropolitan region during the summer North American Monsoon period for years 2010 through 2020. Data used in this study was obtained and derived from both 1200 UTC radiosonde observations launched from the

This study examines the linkage between surface level ozone and planetary boundary layer meteorological variables in the Phoenix Metropolitan region during the summer North American Monsoon period for years 2010 through 2020. Data used in this study was obtained and derived from both 1200 UTC radiosonde observations launched from the Phoenix National Weather Service office, and 8-hour average ozone concentration measurements from Maricopa County monitoring stations. Specific boundary layer meteorological variables examined in this study included inversion temperature, mixing level pressure, mixing level height, and the surface level variables of temperature, dew point temperature, pressure, wind speed, and meridional and zonal wind directions. The daily maximum, 8-hour average ozone concentrations among all Maricopa County monitoring stations were used in this study. To determine ozone’s linkage to meteorological variables, normality tests, determination of Pearson product moment correlation coefficient and/or the Spearman rank correlation coefficient, and the discriminative Student’s two-sided t-test statistic between ozone exceedance and non-exceedance days were used. Statistically significant coefficients indicate weak negative correlations between surface level ozone and surface level pressure, and mixing level pressure, and weak positive correlations between surface level ozone and surface level temperature, surface level zonal wind direction, mixing level height, and inversion temperature. These correlations were linear for surface level pressure, surface level temperature, and inversion temperature. The two-sided Student’s t-test statistic indicates a significant difference in the mean on ozone exceedance and non-exceedance days for surface level temperature, and the upper-air variables of mixing level height, mixing level pressure, and inversion temperature. Both correlations and differences in the mean of upper-air variables showed statistically significant results. These findings suggest that further research should be completed to determine the forecasting ability of morning sounding analyses on surface level ozone in locations exhibiting similar emissions and geographic features as the Phoenix Valley.
ContributorsLopez, David (Author) / Cerveny, Randall (Thesis director) / Balling, Robert (Committee member) / Barrett, The Honors College (Contributor) / School of Music, Dance and Theatre (Contributor) / Department of Physics (Contributor) / School of Geographical Sciences and Urban Planning (Contributor)
Created2023-05