Barrett, The Honors College Thesis/Creative Project Collection
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.
The purpose of this study is to collect baseline internal and external pressure data for the three most commonly used pelvic circumferential compression devices (PCCD). Unstable pelvic fractures as a result of automobile accidents, falls, and other traumatic injuries mortality rate [3]. Early use of pelvic circumferential compression devices can mitigate fatal outcomes [4]-[5]. Prolonged eternal pressure above 9.3kPa can result in long-term soft tissue damage and pressure ulcers [7]. This study hypothesizes that the application of the three most commonly used PCCDs would result in the same mean maximum point pressure exertion. To study this, internal and external, both analog and digital, pressure apparati were used to collect data. The results of this data collection demonstrate a discrepancy in the pressure distribution between right and left greater trochanters within each PCCD. Additionally, the results suggest there is an effect of internal packing on the pressure exertion externally at the two greater trochanters within each PCCD. Lastly, the differences in pressure exertion between each PCCD, internally and externally, were inconclusive as some compared metrics resulted in statistically significant results while others did not. The methodologies employed in this study can be improved through fixation of pressure collection instruments, utilization of digital pressure mats, and removal of confounding factors. The results of this study indicate that digitized, discrete data over a fixed time interval may be clinically useful, suggesting that a digital data collection would yield more reliable data. Additionally, internally mounted pressure sensor data will provide more precise results than the analog method employed herein, as well as provide insight towards bone reduction and displacement following the application of PCCDs. Finally, the information gathered from this study can be utilized to improve upon existing technologies to create a more innovative solution.
The purpose of this study is to collect baseline internal and external pressure data for the three most commonly used pelvic circumferential compression devices (PCCD). Unstable pelvic fractures as a result of automobile accidents, falls, and other traumatic injuries mortality rate [3]. Early use of pelvic circumferential compression devices can mitigate fatal outcomes [4]-[5]. Prolonged eternal pressure above 9.3kPa can result in long-term soft tissue damage and pressure ulcers [7]. This study hypothesizes that the application of the three most commonly used PCCDs would result in the same mean maximum point pressure exertion. To study this, internal and external, both analog and digital, pressure apparati were used to collect data. The results of this data collection demonstrate a discrepancy in the pressure distribution between right and left greater trochanters within each PCCD. Additionally, the results suggest there is an effect of internal packing on the pressure exertion externally at the two greater trochanters within each PCCD. Lastly, the differences in pressure exertion between each PCCD, internally and externally, were inconclusive as some compared metrics resulted in statistically significant results while others did not. The methodologies employed in this study can be improved through fixation of pressure collection instruments, utilization of digital pressure mats, and removal of confounding factors. The results of this study indicate that digitized, discrete data over a fixed time interval may be clinically useful, suggesting that a digital data collection would yield more reliable data. Additionally, internally mounted pressure sensor data will provide more precise results than the analog method employed herein, as well as provide insight towards bone reduction and displacement following the application of PCCDs. Finally, the information gathered from this study can be utilized to improve upon existing technologies to create a more innovative solution.
Carbohydrate counting has been shown to improve HbA1c levels for people with diabetes. However, the learning curve and inconvenience of carbohydrate counting make it difficult for patients to adhere to it. A deep learning model is proposed to identify food from an image, where it can help the user manage their carbohydrate counting. This early model has a 68.3% accuracy of identifying 101 different food classes. A more refined model in future work could be deployed into a mobile application to identify food the user is about to consume and log it for easier carbohydrate counting.
