Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.

Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.

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In thesis we will build up our operator theory for finite and infinite dimensional systems. We then prove that Heisenberg and Schrodinger representations are equivalent for systems with finite degrees of freedom. We will then make a case to switch to a C*-algebra formulation of quantum mechanics as we will

In thesis we will build up our operator theory for finite and infinite dimensional systems. We then prove that Heisenberg and Schrodinger representations are equivalent for systems with finite degrees of freedom. We will then make a case to switch to a C*-algebra formulation of quantum mechanics as we will prove that the Schrodinger and Heisenberg pictures become inadequate to full describe systems with infinitely many degrees of freedom because of inequivalent representations. This becomes important as we shift from single particle systems to quantum field theory, statistical mechanics, and many other areas of study. The goal of this thesis is to introduce these mathematical topics rigorously and prove that they are necessary for further study in particle physics.

ContributorsPerleberg, Sarah (Author) / Quigg, John (Thesis director) / Lebed, Richard (Committee member) / Barrett, The Honors College (Contributor) / Department of Physics (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05
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Description
This thesis traces the queer legacy of the Frankenstein myth from James Whale’s filmic adaptations, Frankenstein and Bride of Frankenstein, to Mexico’s first adaptation of the myth, El Monstruo Resucitado (1953). Chano Urueta’s El Monstruo Resucitado adapted the Frankenstein legend not from Mary Shelley’s source text but from Whale’s films,

This thesis traces the queer legacy of the Frankenstein myth from James Whale’s filmic adaptations, Frankenstein and Bride of Frankenstein, to Mexico’s first adaptation of the myth, El Monstruo Resucitado (1953). Chano Urueta’s El Monstruo Resucitado adapted the Frankenstein legend not from Mary Shelley’s source text but from Whale’s films, which themselves are infused with the queer sensibilities of a homosexual director. This new Mexican Frankenstein myth created a Monster that both reflects the culture of the Hollywood context from which it is adapted and responds to its own unique Mexican backdrop. Discussed only superficially in monster studies scholarship, El Monstruo Resucitado has rarely been examined for its contributions to Mexican horror cinema or queer horror studies as a whole. This thesis explores El Monstruo Resucitado's utility as a queer parable by working through José Esteban Muñoz’s theory of Disidentifications, positioning the film as a cultural object valuable to queer identity formation for minoritarian audiences in Mexico. By doing so, this thesis aims to broaden the conversation surrounding the role of the monster in culture and highlight Mexican monster horror like El Monstruo Resucitado as significant to the global tradition of the monster movie.
ContributorsPlata, Maxwell (Author) / Van Engen, Dagmar (Thesis director) / Miller, April (Committee member) / Barrett, The Honors College (Contributor) / School of Music, Dance and Theatre (Contributor)
Created2022-05
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Description
In the age of information, collecting and processing large amounts of data is an integral part of running a business. From training artificial intelligence to driving decision making, the applications of data are far-reaching. However, it is difficult to process many types of data; namely, unstructured data. Unstructured data is

In the age of information, collecting and processing large amounts of data is an integral part of running a business. From training artificial intelligence to driving decision making, the applications of data are far-reaching. However, it is difficult to process many types of data; namely, unstructured data. Unstructured data is “information that either does not have a predefined data model or is not organized in a pre-defined manner” (Balducci & Marinova 2018). Such data are difficult to put into spreadsheets and relational databases due to their lack of numeric values and often come in the form of text fields written by the consumers (Wolff, R. 2020). The goal of this project is to help in the development of a machine learning model to aid CommonSpirit Health and ServiceNow, hence why this approach using unstructured data was selected. This paper provides a general overview of the process of unstructured data management and explores some existing implementations and their efficacy. It will then discuss our approach to converting unstructured cases into usable data that were used to develop an artificial intelligence model which is estimated to be worth $400,000 and save CommonSpirit Health $1,200,000 in organizational impact.
ContributorsBergsagel, Matteo (Author) / De Waard, Jan (Co-author) / Chavez-Echeagaray, Maria Elena (Thesis director) / Burns, Christopher (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05
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This thesis explores the relationship between the performance of beauty and Potential New Member (PNM) success across various formats of formal sorority recruitment at ASU. It builds off of existing scholarship in economics of beauty premiums in labor markets, as well as sociological research on the intersection of beauty and

This thesis explores the relationship between the performance of beauty and Potential New Member (PNM) success across various formats of formal sorority recruitment at ASU. It builds off of existing scholarship in economics of beauty premiums in labor markets, as well as sociological research on the intersection of beauty and human interaction. Through interviews of women who went through formal recruitment across three different modalities (in-person, virtual, and hybrid), themes emerged that suggest the current policies in place by ASU Panhellenic make it so that the performance of beauty hinders the facilitation of a recruitment process that is truly values-based.
Created2022-05
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Description

Robocop, Logan, and War Girls all present dystopian futures where technology, and more specifically cyborg augmentation, unleashes the worst of humanity. Within these texts, the cyborg, when produced for military use, allows humans to indulge their most harmful impulses in armed conflict. The government-produced cyborg facilitates the domination of outgroups

Robocop, Logan, and War Girls all present dystopian futures where technology, and more specifically cyborg augmentation, unleashes the worst of humanity. Within these texts, the cyborg, when produced for military use, allows humans to indulge their most harmful impulses in armed conflict. The government-produced cyborg facilitates the domination of outgroups by forcing characters to shed empathy and to “other” perceived enemies. The cyborg in this situation works within the militarized masculine framework described by Cristina Masters in Cyborg Soldiers And Militarized Masculinities. This is the cyborg individual’s transformation into a weapon with a singular use. This transformation is facilitated and encouraged by dominant military power structures, and allows these structures with the help of the cyborg to execute brutal violence against any group unlucky enough to find themselves on the wrong side of a conflict. The solution to such exploitation, then, is for the cyborg to assert its humanity and reject this transformation into a weapon. This thesis argues that doing this will involve abandoning the military structure, rejecting the subjectivity of militarized masculinity characterized by empathy loss and “othering”, and refusing to remain a soldier of the dominant corporate or governmental power structures. Even though this cannot bring down the entire system that perpetuates injustice and bloodletting, it does free the cyborg and hinder the military structure’s ability to execute this injustice. In the uncomfortably plausible dystopias my primary texts reasonably predict, the solution to the cyborg’s exploitation and transformation is to firmly oppose the military-industrial war machine characterized by hyper capitalist and imperialist ambitions.

ContributorsBoyle, Nathaniel (Author) / Van Engen, Dagmar (Thesis director) / Schmidt, Peter (Committee member) / Barrett, The Honors College (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor) / The Sidney Poitier New American Film School (Contributor)
Created2022-05
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Description

Speculative fiction and fantasy media have abundant power to portray alternative realities or imagined futures for minority groups. Buffy the Vampire Slayer, from the late 1990s-early 2000s, and Wynonna Earp, from the late 2010s, are two fantasy television shows that produce this often-progressive, impactful representation, particularly for lesbians and bisexual

Speculative fiction and fantasy media have abundant power to portray alternative realities or imagined futures for minority groups. Buffy the Vampire Slayer, from the late 1990s-early 2000s, and Wynonna Earp, from the late 2010s, are two fantasy television shows that produce this often-progressive, impactful representation, particularly for lesbians and bisexual people. Drawing on Queer and Monster Theories from Susan Stryker, Marilee Lindemann, Harry Benshoff, and Alexis Lothian, this thesis examines queer representation in these TV shows and how it contributes to the normalization of LGBTQ+ individuals whilst simultaneously honoring the shows’ queer fans. Normalizing non-cishetero genders and sexualities helps rewrite the narrative of LGBTQ+ people being considered “deviant” and threatening societal order; and holding true to queer roots of challenging social norms prevents the power of the queer community from being influenced by the pressures of compulsory heterosexuality.

ContributorsCardona, Lauren (Author) / Van Engen, Dagmar (Thesis director) / Mack, Robert (Committee member) / Barrett, The Honors College (Contributor) / Chemical Engineering Program (Contributor)
Created2022-05
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Description
Game theory, the mathematical study of mathematical models and simulations that often play out like a game, is applicable to a plethora of disciplines, one of which is infrastructure security. This is a rather new and niche subject area, and our aim is to perform a bibliographic analysis to analyze

Game theory, the mathematical study of mathematical models and simulations that often play out like a game, is applicable to a plethora of disciplines, one of which is infrastructure security. This is a rather new and niche subject area, and our aim is to perform a bibliographic analysis to analyze the thematic makeup of a selected body of publications in this area, as well as analyze trends in paper publication, journal contributions, country contributions, and trends in the authorship of the publications.
ContributorsChandra, Varun (Author) / Jevtic, Petar (Thesis director) / Gall, Melanie (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05
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Description

Bdellovibrio bacteriovorus (BB) is a gram negative predatory bacteria that uses other gram negative bacteria to proliferate non-binarily. Due to the predatory nature of BB researchers have proposed to use it as a potential biocontrol agent against other gram negative bacteria. The in vivo effect of predatory bacteria on a

Bdellovibrio bacteriovorus (BB) is a gram negative predatory bacteria that uses other gram negative bacteria to proliferate non-binarily. Due to the predatory nature of BB researchers have proposed to use it as a potential biocontrol agent against other gram negative bacteria. The in vivo effect of predatory bacteria on a living host lacks thorough investigation. This paper explores BB inside and outside of the C. elegans. BB acts internally by pre- infecting C. elegans with E. coli and then treating the worms with BB. After BB treatment worm survivavbility increased and morbidity decreased. Ex- ternally, BB modulated the environment around the nematode which reduced infection rates and increased nematode lifespan and survivability. Together, the internal and external results suggest BB has the capability to act as a living antibiotic acting topically and internally to reduce infection rates.

ContributorsStambolic, Milena (Author) / Presse, Steve (Thesis director) / Vlcek, Jessi (Committee member) / Barrett, The Honors College (Contributor) / Department of Physics (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05
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Description
Malaria is a deadly, infectious, parasitic disease which is caused by Plasmodium parasites and transmitted between humans via the bite of adult female Anopheles mosquitoes. The primary insecticide-based interventions used to control malaria are indoor residual spraying (IRS) and long-lasting insecticide nets (LLINs). Larvicides are another insecticide-based intervention which is

Malaria is a deadly, infectious, parasitic disease which is caused by Plasmodium parasites and transmitted between humans via the bite of adult female Anopheles mosquitoes. The primary insecticide-based interventions used to control malaria are indoor residual spraying (IRS) and long-lasting insecticide nets (LLINs). Larvicides are another insecticide-based intervention which is less commonly used. In this study, a mathematical model for malaria transmission dynamics in an endemic region which incorporates the use of IRS, LLINS, and larvicides is presented. The model is rigorously analyzed to gain insight into the asymptotic stability of the disease-free equilibrium. Simulations of the model show that individual insecticide-based interventions will not realistically control malaria in regions with high endemicity, but an integrated vector management strategy involving the use of multiple interventions could lead to the effective control of the disease. This study suggests that the use of larvicides alongside IRS and LLINs in endemic regions may be more effective than using only IRS and LLINs.
ContributorsJameson, Leah (Author) / Gumel, Abba (Thesis director) / Huijben, Silvie (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Civic & Economic Thought and Leadership (Contributor)
Created2022-05
Description
In this work, we explore the potential for realistic and accurate generation of hourly traffic volume with machine learning (ML), using the ground-truth data of Manhattan road segments collected by the New York State Department of Transportation (NYSDOT). Specifically, we address the following question– can we develop a ML algorithm

In this work, we explore the potential for realistic and accurate generation of hourly traffic volume with machine learning (ML), using the ground-truth data of Manhattan road segments collected by the New York State Department of Transportation (NYSDOT). Specifically, we address the following question– can we develop a ML algorithm that generalizes the existing NYSDOT data to all road segments in Manhattan?– by introducing a supervised learning task of multi-output regression, where ML algorithms use road segment attributes to predict hourly traffic volume. We consider four ML algorithms– K-Nearest Neighbors, Decision Tree, Random Forest, and Neural Network– and hyperparameter tune by evaluating the performances of each algorithm with 10-fold cross validation. Ultimately, we conclude that neural networks are the best-performing models and require the least amount of testing time. Lastly, we provide insight into the quantification of “trustworthiness” in a model, followed by brief discussions on interpreting model performance, suggesting potential project improvements, and identifying the biggest takeaways. Overall, we hope our work can serve as an effective baseline for realistic traffic volume generation, and open new directions in the processes of supervised dataset generation and ML algorithm design.
ContributorsOtstot, Kyle (Author) / De Luca, Gennaro (Thesis director) / Chen, Yinong (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05