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Description
The purpose of my honors thesis project was to generate the tools needed for in vivo imaging by determining the optimal plasmid-fluorophore combination. To determine the optimal plasmid and fluorophore, asd plasmids were constructed with various promoters, origins of replications, and red fluorophores. The optimal asd plasmid for fluorescent in vivo imaging was determined by the plasmid stability, growth rate, and growth phase dependence on fluorescent intensity. The end goal is to be able to use the asd plasmid in vaccine strains for the purpose of in vivo imaging of the recombinant attenuated Salmonella vaccine (RASV).
ContributorsEudy, L. Adam (Author) / Curtiss, Roy (Thesis director) / Roland, Kenneth (Committee member) / Forbes, Stephen (Committee member) / Barrett, The Honors College (Contributor) / College of Liberal Arts and Sciences (Contributor)
Created2012-12
Description
The thesis explores the avenues of machine learning principles in object detection using TensorFlow 2 Object Detection API Libraries for implementation. Integrating object detection capabilities into ESP-32 cameras can enhance functionality in the capstone dragster application and potential applications, such as autonomous robots. The research implements the TensorFlow 2 Object Detection API, a widely used framework for training and deploying object detection models. By leveraging the pre-trained models available in the API, the system can detect a wide range of objects with high accuracy and speed. Fine-tuning these models using a custom dataset allows us to enhance their performance in detecting specific objects of interest. Experiments to identify strengths and weaknesses of each model's implementation before and after training using similar images were evaluated The thesis also explores the potential limitations and challenges of deploying object detection on real-time ESP-32 cameras, such as limited computational resources, costs, and power constraints. The results obtained from the experiments demonstrate the feasibility and effectiveness of implementing object detection on ESP-32 cameras using the TensorFlow2 Object Detection API. The system achieves satisfactory accuracy and real-time processing capabilities, making it suitable for various practical applications. Overall, this thesis provides a foundation for further advancements and optimizations in the integration of object detection capabilities into small, low-power devices such as ESP-32 cameras and a crossroad to explore its applicability for other image-capturing and processing devices in industrial, automotive, and defense sectors of industry.
ContributorsMani, Vinesh (Author) / Tsakalis, Konstantinos (Thesis director) / Jayasuriya, Suren (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2024-05
Description
Curanderismo can be defined as a blend between ancient Aztec natural healing methods and modern day Catholicism. Today, it is practiced through various techniques, which can be observed in yerberias. Upon visiting these yerberias, the attendants were interviewed to understand which products are commonly sold, what they are used to treat, and the cultural significance behind the practice. After purchasing a number of products from each yerberia, a literature analysis of potential biochemical pathways was conducted to determine if these products have efficacy in what they treat. While potential pathways were found for a number of the products, it has been determined that further clinical research must be conducted to state whether these products are effective in treatment.
ContributorsDickey, Erin (Author) / Mullenmeister, William (Co-author) / Breitweiser, Mya (Co-author) / Holechek, Susan (Thesis director) / Redding, Kevin (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / School of Molecular Sciences (Contributor)
Created2024-05
Description
Misincorporation of uracil bases into DNA can lead to mutations after transcription. Uracil-DNA glycosylase (UDG) is an enzyme that removes uracil bases from DNA, leaving an apurinic/apyrimidinic site. Different efficiencies of uracil base removal by UDG have been observed at different sites in DNA. A previous study found that UDG has a higher specificity constant for DNA sequences that are more flexible, specifically that those with uracil in a context of thymine adjacent on the 5’ side and adenine adjacent on the 3’ side (TUA sequence) bound UDG better than those with an adenine adjacent on the 5’ side and thymine adjacent on the 3’ side (AUT sequence) context. The purpose of this study is to expand the previous one by determining whether the ratios observed between TUA and AUT specificity constants within DNA sequences that are otherwise the same are also observed across a third sequence context that was not included in the first study. The hypothesis that same ratio would be observed is somewhat supported as the new sequence has a specificity constant of 1.24±0.043 ✕ 107 M-1s-1. However, conclusions to be drawn from this are limited by the wide margin of error seen among trials of the same concentrations.
ContributorsEngelken, Rylee (Author) / Levitus, Marcia (Thesis director) / Klein-Seetharaman, Judith (Committee member) / Barrett, The Honors College (Contributor) / School of Molecular Sciences (Contributor) / School of Human Evolution & Social Change (Contributor)
Created2024-05