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This project is centered around a decade-old video game called League of Legends, which is one of the most popular video games in esports. Due to its nature of being a complex team-based strategy game, intuitive human predictions of the game’s outcome are relatively unreliable. Many approaches have been adopted

This project is centered around a decade-old video game called League of Legends, which is one of the most popular video games in esports. Due to its nature of being a complex team-based strategy game, intuitive human predictions of the game’s outcome are relatively unreliable. Many approaches have been adopted to assist intuitive human predictions in traditional team-based sports, such as the Least Squares Method and various supervised machine learning algorithms. These methods have been significantly outperforming human predictions. The objective of this research is, hence, to test whether the predictive models generated using these methods can achieve a similar level of reliability in a more complex game like League of Legends.
ContributorsWang, Jiahao (Author) / Zandieh, Michelle (Thesis director) / Lee, Inyoung (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / College of Integrative Sciences and Arts (Contributor)
Created2023-12
Description
The goal of this project is to measure the effects of the use of dynamic circuit technology within quantum neural networks. Quantum neural networks are a type of neural network that utilizes quantum encoding and manipulation techniques to learn to solve a problem using quantum or classical data. In their

The goal of this project is to measure the effects of the use of dynamic circuit technology within quantum neural networks. Quantum neural networks are a type of neural network that utilizes quantum encoding and manipulation techniques to learn to solve a problem using quantum or classical data. In their current form these neural networks are linear in nature, not allowing for alternative execution paths, but using dynamic circuits they can be made nonlinear and can execute different paths. We measured the effects of these dynamic circuits on the training time, accuracy, and effective dimension of the quantum neural network across multiple trials to see the impacts of the nonlinear behavior.
ContributorsLynch, Brian (Author) / De Luca, Gennaro (Thesis director) / Chen, Yinong (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2023-12
Description
The Patient Guidance Project was created by a team of research assistants in the Arizona Cancer Evolution Center as a source of supplemental education and support for recently diagnosed cancer patients. Extensive background research in the form of literature reviews highlighted disparities between the information patients want and are receiving,

The Patient Guidance Project was created by a team of research assistants in the Arizona Cancer Evolution Center as a source of supplemental education and support for recently diagnosed cancer patients. Extensive background research in the form of literature reviews highlighted disparities between the information patients want and are receiving, as well as between average literacy levels of patients and the literacy levels at which cancer information is commonly provided. The Patient Guidance Project has published comprehensive guides for specific types of cancer, which so far include metastatic melanoma, glioblastoma, prostate cancer, oral cancer, kidney cancer, breast cancer, and colorectal cancer. The content of the guides is intended to bridge the gaps in information for patients with an emphasis on treatment options, treatment side effects, and psychological support resources, which surveys have identified as the topics patients want information on most. Written at a sixth-grade literacy level, which over half of adults in the U.S. read at, the guides are meant to be of benefit to as many people as possible. In the future, the team hopes to expand the Patient Guidance Project to include more cancer types, guides in different languages, and multimodal features to increase their effectiveness.
ContributorsWilliams, Erica (Author) / Maley, Carlo (Thesis director) / Baciu, Cristina (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2022-12
Description
Cancer is an ever-relevant disease with many genetic, social, environmental, and behavioral risk factors. One factor which has been garnering interest is the impact of nutrition on cancer. As a disease process, cancer is primarily driven by an accumulation of genetic aberrations. Recent epidemiological, pre-clinical, and clinical studies have demonstrated

Cancer is an ever-relevant disease with many genetic, social, environmental, and behavioral risk factors. One factor which has been garnering interest is the impact of nutrition on cancer. As a disease process, cancer is primarily driven by an accumulation of genetic aberrations. Recent epidemiological, pre-clinical, and clinical studies have demonstrated various impacts of bioactive food molecules on the promotion or prevention of these oncogenic mutations. This work explores several of these molecules and their relation to cancer prevention and provides a sample meal plan, which highlights many additional molecules that are currently being studied.
ContributorsCurtin, Elise (Author) / Don, Rachael (Thesis director) / Compton, Carolyn (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2022-05
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Description

Obesity increases the risk for colorectal cancer. In mice, a pro-obesity high-fat-diet (HFD) leads to an intestinal phenotype characterized by enhanced proliferation, numbers, function and tumor-initiating capacity of stem cells, the cell-of-origin for many intestinal cancers. This phenotype is driven by a lipid metabolism program facilitated by an intrinsic Peroxisome

Obesity increases the risk for colorectal cancer. In mice, a pro-obesity high-fat-diet (HFD) leads to an intestinal phenotype characterized by enhanced proliferation, numbers, function and tumor-initiating capacity of stem cells, the cell-of-origin for many intestinal cancers. This phenotype is driven by a lipid metabolism program facilitated by an intrinsic Peroxisome Proliferator-Activated Receptor/Fatty Acid Oxidation (PPAR/FAO) axis that senses and utilizes cellular lipids. However, the microbiome is a known regulator of lipid metabolism in the gut, but little is understood about how the gut commensals affect access to the lipids and alter stem cell function. Here, we use the long term HFD-fed mouse model to analyze the phenotypic changes in the intestinal stem cells (ISCs) after depletion of the gut microbiota. We find that the loss of the gut microbiome after four weeks of antibiotic treatment imposes significant changes in ISC function leading to reduced HFD ISC regenerative potential. These results indicate that the gut microbiome plays a crucial role in the lipid metabolic process which regulates and maintains the HFD ISC phenotype, and further suggests that the gut microbiome may augment the diet-induced tumor initiating capacity by altering the stem cell function.

ContributorsSantos Molina, Pablo (Author) / Mana, Miyeko (Thesis director) / Whisner, Corrie (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / Historical, Philosophical & Religious Studies, Sch (Contributor)
Created2022-05
Description

This paper examines the physics behind cancer treatment and more specifically radiation therapy. A phenomenon known as Compton scattering has played a substantial role in the treatment of breast cancer and improvement of lives of women around the world. Through Compton scattering, radiation therapy has been tremendously improved and has

This paper examines the physics behind cancer treatment and more specifically radiation therapy. A phenomenon known as Compton scattering has played a substantial role in the treatment of breast cancer and improvement of lives of women around the world. Through Compton scattering, radiation therapy has been tremendously improved and has allowed for the most accurate and effective treatment in breast cancer patients today.

ContributorsRombaoa, Matthew Bryce (Author) / Foy, Joseph (Thesis director) / Hines, Taylor (Committee member) / Barrett, The Honors College (Contributor) / School of Molecular Sciences (Contributor) / Department of Psychology (Contributor)
Created2023-05
Description
Artificial intelligence (AI) and machine learning (ML) algorithms are revolutionizing the field of healthcare by offering new opportunities for improved diagnosis and treatment planning. These technologies have the potential to transform the way medical professionals approach patient care by analyzing vast amounts of data, identifying patterns, and making predictions. This

Artificial intelligence (AI) and machine learning (ML) algorithms are revolutionizing the field of healthcare by offering new opportunities for improved diagnosis and treatment planning. These technologies have the potential to transform the way medical professionals approach patient care by analyzing vast amounts of data, identifying patterns, and making predictions. This overview highlights the current state of research and development in the field of AI and ML for diagnosis and treatment planning, as well as explore the ethical benefits and challenges associated with their implementation.
ContributorsShankar, Kruthy (Author) / Arquiza, Jose (Thesis director) / Sobrado, Michael (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2024-05
ContributorsShankar, Kruthy (Author) / Arquiza, Jose (Thesis director) / Sobrado, Michael (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2024-05
ContributorsShankar, Kruthy (Author) / Arquiza, Jose (Thesis director) / Sobrado, Michael (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2024-05
Description
Modified Salmonella strains and recombinant DNA in a plasmid are used to construct a Salmonella strain that is dependent on the experimentally inserted plasmid. This construction will be done via lab techniques such as polymerase chain reactions (PCR), transformation, and other means to create this construction. With future successful construction, the inhibition

Modified Salmonella strains and recombinant DNA in a plasmid are used to construct a Salmonella strain that is dependent on the experimentally inserted plasmid. This construction will be done via lab techniques such as polymerase chain reactions (PCR), transformation, and other means to create this construction. With future successful construction, the inhibition of flagella assembly, within the tumor environment, and increased synthesis of flagellin will be possible. In the case that only assembly is prevented, then, the reliance on the lysis system to release flagellin into the tumor microenvironment will be used as a means to induce immune response. With the success of the self-lysis ability, these strains could be used to target these tumor cells to deliver anticancer material as a vaccine delivery system.
ContributorsShagi, Agnel (Author) / Kong, Wei (Thesis director) / Fu, Lingchen (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2024-05