Matching Items (12,250)
Filtering by
- Creators: Barrett, The Honors College
- Creators: College of Liberal Arts and Sciences
Description
The primary goal of our nonprofit organization, Plant-ED, is to deepen the average individual’s knowledge regarding sustainability and to inspire our users to engage in a community of like-minded individuals who share a passion for sustainability. To accomplish this vision, we have created a digital platform where users can easily find information on upcoming events, activities, and alternative products that truly embody a mindset of sustainability. Our team will be the main and constant source of content for our website, however our users are also able to interact with the website through blog posts and subscriptions. Additionally, our platform has a section dedicated to explaining the impact of recycling and shows the devastating effects if humans do not take accountability for their choices and develop more sustainable habits. The ultimate goal for our website is for it to be a place where we can promote our partners’ products which are either alternatives to unsustainable products or companies who donate some of their proceeds to help create a greener world. The profit from the commission we receive from our partners and subscription services will be reinvested into expanding our digital platform and partnerships.
ContributorsMahoney, Emma (Author) / Weiderhoft, Isabella (Co-author) / Meyers, Zoe (Co-author) / Smith, Connor (Co-author) / Byrne, Jared (Thesis director) / Balven, Rachel (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Finance (Contributor)
Created2024-05
Meet Antia: An Ancient Athenian Girl, An Exploration of Childhood in the Ancient World through Story
Description
Meet Antia is a series of three short stories about childhood in ancient Athens during the Fifth Century BCE. Antia is a young girl between the ages of nine to ten and she experiences life in Ancient Athens. Her experiences teach the intended audience, children ages nine to eleven, about life in ancient Athens by showing how young girls lived in the ancient world. The main focus of the story is to include four key elements of ancient Greek childhood: birth and infancy, work and play, education, and cult and ritual. Antia experiences important milestones in ancient Greek culture through education and participation in ancient rituals. She learns how to weave, dance, and is able to participate in the Brauronia, a festival to Artemis, and even a funeral. Through the stories she learns practical life lessons that are applicable to a modern audience. Her best friends help her learn important lessons about friendship and teamwork and her mother is always there to give sage advice. The formula for the stories was inspired by the six-book-series published by American Girl to accompany their historic characters and dolls.
ContributorsDiehl, Grace (Author) / Poudrier, Almira (Thesis director) / Bolmarcich, Sarah (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / Historical, Philosophical & Religious Studies, Sch (Contributor)
Created2024-05
An Analysis of the East Valley’s Homeless Services Compared with the Needs of the Unhoused Community
Description
This thesis shows the research results conducted in the East Valley of the Phoenix
Metropolitan Area and the thematic analysis of that data. Data were collected from a
small sample of interviews conducted by the researcher with staff of homeless outreach
organizations and clients of those organizations. A thematic analysis of the interview
data was conducted. The resulting analysis shows that a more significant focus should be
placed on reducing the number of clients in need who decline to use their services by
improving safety, trust, and access to resources and that organizations would benefit
from more consistent funding and a more considerable amount. Finally, as this thesis
shows, both organizations and their clients tend to agree that a lack of access to helpful
resources is a more significant problem than a lack of resources.
ContributorsHults, Clayton (Author) / Kelley, Jason (Thesis director) / Rosales Chavez, Jose-Benito (Committee member) / Barrett, The Honors College (Contributor) / School of Geographical Sciences and Urban Planning (Contributor)
Created2024-05
Description
As an incoming STEM student, it can be intimidating thinking about the long academic road ahead. That is why I have written a short book about my greatest success strategies and takeaways from my past four years as a STEM student. I dive into topics including communication, teamwork, time management, growth mindsets, and self-care.
ContributorsConway, Kayla (Author) / Reeves, Scott (Thesis director) / del Mar Navarro, María (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2024-05
Description
Little is known about the state of Arctic sea ice at any given instance
in time. The harshness of the Arctic naturally limits the amount of in situ data that can be collected, resulting in gathered data being limited in both location and time. Remote sensing modalities such as satellite Synthetic Aperture Radar (SAR) imaging and laser altimetry help compensate for the lack of data, but suffer from uncertainty because of the inherent indirectness. Furthermore, precise remote sensing modalities tend to be severely limited in spatial and temporal availability, while broad methods are more accessible at the expense of precision. This thesis focuses on the intersection of these two problems and explores the possibility of corroborating remote sensing methods to create a precise, accessible source of data that can be used to
examine sea ice at local scale.
ContributorsBaker, John (Author) / Cochran, Douglas (Thesis director) / Wei, Hua (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05
Description
I study some comparative statics implications of disappointment-averse preferences
for optimal portfolios. Specifically, I find that risk-averse disappointment-averse investors
increase investment in a risky asset as a result of a monotone likelihood ratio improvement in
the asset’s distribution, a subset of First Order Stochastic improvements. This gives a testable
implication between the disappointment aversion model, and alternatives, including expected
utility. I also discuss previously noted implications for disappointment aversion in helping
explain the equity premium puzzle.
ContributorsWarrier, Raghav (Author) / Schlee, Edward (Thesis director) / Almacen, Christopher (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05
Description
Manually determining the health of a plant requires time and expertise from a human. Automating this process utilizing machine learning could provide significant benefits to the agricultural field. The detection and classification of health defects in crops by analyzing visual data using computer vision tools can accomplish this. In this paper, the task is completed using two different types of existing machine learning algorithms, ResNet50 and CapsNet, which take images of crops as input and return a classification that denotes the health defect the crop suffers from. Specifically, the models analyze the images to determine if a nutritional deficiency or disease is present and, if so, identify it. The purpose of this project is to apply the proven deep learning architecture, ResNet50, to the data, which serves as a baseline for comparison of performance with the less researched architecture, CapsNet. This comparison highlights differences in the performance of the two architectures when applied to a complex dataset with a multitude of classes. This report details the data pipeline process, including dataset collection and validation, as well as preprocessing and application to the model. Additionally, methods of improving the accuracy of the models are recorded and analyzed to provide further insights into the comparison of the different architectures. The ResNet-50 model achieved an accuracy of 100% after being trained on the nutritional deficiency dataset. It achieved an accuracy of 88.5% on the disease dataset. The CapsNet model achieved an accuracy of 90% on the nutritional deficiency dataset but only 70% on the disease dataset. In comparing the performance of the two models, the ResNet model outperformed the other; however, the CapsNet model shows promise for future implementations. With larger, more complete datasets as well as improvements to the design of capsule networks, they will likely provide exceptional performance for complex image classification tasks.
ContributorsChristner, Drew (Author) / Carter, Lynn (Thesis director) / Ghayekhloo, Samira (Committee member) / Barrett, The Honors College (Contributor) / Computing and Informatics Program (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05
Description
Jupiter’s moon Io is tidally locked with Jupiter and falls in a 4:2:1 orbital
resonance with Europa and Ganymede, driving extreme tidal heating that makes it the most volcanically active body in the solar system. Io possesses a metallic core, as does its Galilean sibling Ganymede, yet, unlike Ganymede, Io lacks a magnetic field. Here, I investigated the potential size, composition, and cooling rate of Io’s core to help determine why Io lacks a strong dynamo. First, I used mineral physics equations to determine that the radius of the core should be between ~650 km to 950 km for a composition ranging from pure Fe to a eutectic Fe-FeS alloy. Cosmochemical constraints from meteoritic analogues yield complementary constraints on the abundance of sulfur in the metallic core (~2.67–28.6 wt%). The mantle could be either fully or partially molten. I found that the scenario of a global magma ocean creates temperatures at the base of the mantle that are possibly too hot for core convection, but that a magma sponge regime could create core-mantle boundary temperatures cooler than the melting point of pure Fe, which could promote core convection. Therefore, I conclude that Io lacks a strong dynamo likely because it has a magma ocean with temperatures too high for convection. However, the possibility that Io’s mantle is a magma sponge suggests the importance for future missions to investigate the state of Io’s magnetic field.
ContributorsLunetto, Sarah (Author) / O'Rourke, Joseph (Thesis director) / Walker, Sara (Committee member) / Barrett, The Honors College (Contributor) / School of Earth and Space Exploration (Contributor)
Created2024-05
Description
This project revolves around the enhancement of an existing data collection device utilized for patient monitoring within the framework of the leadership of Shad Roundy's team. The initial deployment involved a 10-Axis Internal Measurement Unit (IMU) sourced from MetaMotionS (MMS) for comprehensive data acquisition from patients at University of Utah’s Downtown Behavioral Health Clinic (BHC). The primary objective transitioned towards optimizing the device's functionality, particularly addressing challenges related to limited battery life, device size, and data transfer efficiency. A systematic approach was undertaken to address these challenges, involving meticulous research into alternative batteries, with the CL 582728 identified as a promising solution capable of extending the device's operational lifespan to around one month. Additionally, the initiative aimed at refining data collection processes through real-time transmission facilitated by Raspberry Pi devices at BHC via Bluetooth, leveraging the energy-efficient Nordic Semiconductor nRF52840 Bluetooth chip. The project also entailed intricate circuit design endeavors utilizing Autodesk Eagle, with reference to a model provided by MMS. Despite encountering programming challenges for the microcontroller, the groundwork was laid for a conceptual solution, with plans to delegate the programming task to a team member possessing advanced expertise. Though the device has yet to be fabricated, the design is near completion.
ContributorsJust, William (Author) / Andersen, Erik (Thesis director) / Roundy, Shad (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2024-05
Description
This study evaluates the level of human papillomavirus (HPV) awareness and knowledge among students and healthcare workers at Arizona State University (ASU). The significance of understanding HPV awareness and knowledge is paramount in the context of global public health as HPV is the most commonly sexually transmitted infection (STI) in the United States and can cause various health conditions, most notably cervical cancer. This study employed an anonymous, cross-sectional survey design to test for HPV awareness and knowledge among ASU students and healthcare workers. It most notably found that while approximately 90% of students are aware of HPV as a potential STI, only 54% are aware that HPV can cause various warts, only 30% are aware that HPV can cause six types of cancers, only 61% have been and/or know someone who has been vaccinated against HPV, and 80% have never been tested for HPV. Data was unable to be collected from healthcare workers on campus due to logistical conflicts with ASU Health Services. Overall, the study showed general awareness of HPV among ASU students but less functional knowledge about HPV, such as the health conditions it can cause, that could play a part in prevention behaviors, most notably with getting vaccinated and tested. While this study is a good start and baseline for ASU, it should be noted that it may not be entirely reflective of the university as a whole due to the majority of participants being white, cis, and female, so future work for data collection and subsequent outreach prevention programs is recommended to be complete.
ContributorsEsquerra, Sebastian (Author) / Quezada, Blanca (Thesis director) / Leaver, Jill (Committee member) / Ackerley, Hunter (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2024-05