Antioxidants have long been known to have positive effects on human health. Polyphenols are the most bountiful type of antioxidant in the human diet (Williamson, 2016). Polyphenols are found in a variety of plant foods, and the consumption of these foods has been shown to have a positive impact on eliminating oxidative stress in the body (Fraga et al., 2019). Additionally, the consumption of polyphenols has been researched to act as chemoprotective agents against cancer, cardiovascular disease, and other chronic diseases (Pott et al., 2019). In addition to a healthy well balanced diet, polyphenols are a low cost way to increase the health of the general public. This thesis paper is a manuscript of the multifaceted project centered around research and communication of a healthy diet for the American adult, with a spotlight of the health benefit of polyphenol and what food sources are quality sources of this secondary metabolite. The first stage of this project involved active laboratory research, where the concentration of various fruit juices and supplements were tested and compared. Secondly, a literature review was conducted to investigate the most evidenced based dietary pattern that supports health and longevity. Thirdly, the laboratory research and the literary review was translated into a website meant for the general public. The text of this website can be found in this manuscript, as all other components including sources and references.

For my thesis, I made a series of handmade adaptable ceramic mugs for people with a variety of different needs. This includes limited neck mobility, limited hand/wrist strength and flexibility, hand tremors, and more. In order to do this, I collected feedback from a variety of people involved in functional movement and adaptive technology to produce multiple handmade mugs.

Machine learning(ML) has been on the rise in many fields including agriculture. It is used for many things including crop yield prediction which is meant to help farmers decide when and what to grow based on the model. Many models have been built for various crops and areas of the world utilizing various sources of data. However, there is yet to exist a model designed to predict any crop’s yield in Yuma Arizona, one of the premier places to grow crops in America. For this, I built a dataset from farm documentation that describes the actions taken before, during, and after a crop is being grown. To supplement this data, ecological data was also used so data such as temperature, heat units, soil type, and soil water holding capacity were included. I used this dataset to train various regression models where I discovered that the farm data was useful, but only when used in conjunction with the ecological data.

The core objective of this thesis project is to highlight the enriching contributions of Japanese authors to university-level literature courses that survey human history through literature. Japanese literature, rich in its exploration of complex emotions and philosophical depths through the novella and other forms, presents a unique opportunity to broaden the scope of "Great-Books" courses. Traditionally, these courses have predominantly featured Western texts, inadvertently reinforcing the notion that modern philosophical thought is exclusively a Western domain. This project has taken thematic elements from HON272 at Arizona State University (ASU), Barrett, The Honors College's flagship humanities course, as a basis for analysis. A selection of texts from a diverse array of Japanese literature was then methodically paired with these materials based on periodization, thematic resonance, and the audience's interests. Of the twenty-seven different pieces of literature spanning from 1651 to the present day included in HON272, this project has identified twenty-one Japanese novels or primary texts that can serve as complements to the existing curriculum. This approach not only enriches the curriculum but also empowers professors to introduce themes vital for a comprehensive understanding of human history and thought, thereby enhancing the flexibility and inclusivity of their course designs. To support this endeavor, a comprehensive sourcing guide has been developed. This guide prioritizes Japanese literature, listing these texts first and detailing their potential integration into conversations typically dominated by Western texts. It provides, where possible, links to free online PDF versions or excerpts, purchasing information, and availability within the ASU library system. This initiative aims to foster a curriculum that appreciates the global expanse of intellectual heritage and encourages a move away from a Euro-centric narrative. By doing so, it aspires to cultivate a diverse cultural perspective within higher education, both for faculty and students alike. By embracing the vast thematic landscapes offered by Japanese literature, this project serves as a step towards avoiding the pitfalls of cognitive imperialism. It champions the cause of diversifying educational content, ensuring we are moving in the right direction by celebrating and integrating the depth and diversity of global literature into our academic pursuits.

This thesis focuses on describing what white-collar crime is, how it impacts our society, the nature of deterrence, and examines the strengths and weaknesses of methods from the twenty-first century used by governmental leaders to deter white-collar crime. After conducting research, I have concluded that the most effective deterrence for white-collar crime is to increase individuals’ punishment severity, increase enforcement through corporate compliance programs and to treat corporations more leniently in turn for implementing meaningful compliance programs. In addition to this, I recommend delegating the responsibility to the Department of Justice to begin recording every single white-collar criminal offense in a public database as well as create a crime index for white-collar crime. This will increase the transparency of how detrimental white-collar crime is to our society as well as provide more substantial statistics to conduct studies on to continue finding the best deterrence to white-collar crime.