The goal of this research project is to create a Mathcad template file capable of statistically modelling the effects of mean and standard deviation on a microparticle batch characterized by the log normal distribution model. Such a file can be applied during manufacturing to explore tolerances and increase cost and time effectiveness. Theoretical data for the time to 60% drug release and the slope and intercept of the log-log plot were collected and subjected to statistical analysis in JMP. Since the scope of this project focuses on microparticle surface degradation drug release with no drug diffusion, the characteristic variables relating to the slope (n = diffusional release exponent) and the intercept (k = kinetic constant) do not directly apply to the distribution model within the scope of the research. However, these variables are useful for analysis when the Mathcad template is applied to other types of drug release models.

With a prison population that has grown to 1.4 million, an imprisonment rate of 419 per 100,000 U.S. residents, and a recidivism rate of 52.2% for males and 36.4% for females, the United States is facing a crisis. Currently, no sufficient measures have been taken by the United States to reduce recidivism. Attempts have been made, but they ultimately failed. Recently, however, there has been an increase in experimentation with the concept of teaching inmates basic computer skills to reduce recidivism. As labor becomes increasingly digitized, it becomes more difficult for inmates who spent a certain period away from technology to adapt and find employment. At the bare minimum, anybody entering the workforce must know how to use a computer and other technological appliances, even in the lowest-paid positions. By incorporating basic computer skills and coding educational programs within prisons, this issue can be addressed, since inmates would be better equipped to take on a more technologically advanced labor market.<br/>Additionally, thoroughly preparing inmates for employment is a necessity because it has been proven to reduce recidivism. Prisons typically have some work programs; however, these programs are typically outdated and prepare inmates for fields that may represent a difficult employment market moving forward. On the other hand, preparing inmates for tech-related fields of work is proving to be successful in the early stages of experimentation. A reason for this success is the growing demand. According to the U.S. Bureau of Labor Statistics, employment in computer and information technology occupations is projected to grow 11 percent between 2019 and 2029. This is noteworthy considering the national average for growth of all other jobs is only 4 percent. It also warrants the exploration of educating coders because software developers, in particular, have an expected growth rate of 22 percent between 2019 and 2029. <br/>Despite the security risks of giving inmates access to computers, the implementation of basic computer skills and coding in prisons should be explored further. Programs that give inmates access to a computing education already exist. The only issue with these programs is their scarcity. However, this is to no fault of their own, considering the complex nature and costs of running such a program. Accordingly, this leaves the opportunity for public universities to get involved. Public universities serve as perfect hosts because they are fully capable of leveraging the resources already available to them. Arizona State University, in particular, is a more than ideal candidate to spearhead such a program and serve as a model for other public universities to follow. Arizona State University (ASU) is already educating inmates in local Arizona prisons on subjects such as math and English through their PEP (Prison Education Programming) program.<br/>This thesis will focus on Arizona specifically and why this would benefit the state. It will also explain why Arizona State University is the perfect candidate to spearhead this kind of program. Additionally, it will also discuss why recidivism is detrimental and the reasons why formerly incarcerated individuals re-offend. Furthermore, it will also explore the current measures being taken in Arizona and their limitations. Finally, it will provide evidence for why programs like these tend to succeed and serve as a proposal to Arizona State University to create its own program using the provided framework in this thesis.

A friend of mine once told me that coding is like doing magic, and frankly, I am inclined to agree. With a keyboard, a development environment, and a little bit of language skill, you can build an entire world. Despite being heavily rooted in logic, math, and science, there is a certain mystery to it, a sense of illusion and wizardry. The sense of pride and power that comes from successfully finishing an app, program, or website is like no other. I recently watched the film Ex Machina (Alex Garland, 2014) for the first time, and I was struck by one of the lines. In thinking about the success of his creation and what that means for the world, he says, “I’m not a man, I’m God.” And although I wouldn’t say that is exactly how I feel when I turn in a coding assignment, I understand the sentiment. This thesis is going to be a bit different than the one I thought I was going to write. When I started this, I thought it would be about an amazing coding project I had completed. I would write about all the beautiful code and the nitty gritty of the technical aspects. But, the project that I intended to create is not the project I ended up with, and I couldn’t be happier. I finished with something a lot more meaningful, a lot more interdisciplinary, and a lot more me. In this essay and the accompanying coding project, I aim to take you on the journey of building my own piece of digital culture, an app titled “Exposed.” I begin by discussing how the motivation to create Exposed came from the desire to stop using an app made by an internet celebrity and how the values of Gen Z and their relationship with technology influenced and guided the creation of the app. Then I examine the relationship between code and the coder, and how external factors such as being a woman in technology impacts project development. Then I explain the results of the coding process and outline how Exposed turned out. Finally, I consider the meaning of digital culture and how it functions in the creation of Exposed. Along the way this project became extremely personal. I found that the deeper I dove into making the code work, the more I learned about myself and my relationship to technology. If I promise to be honest with you, will you promise to listen to what I have to say?

vaNILla is the connections based, partnership driven platform for collegiate student athletes and brands to pursue Name, Image and Likeness (NIL) deals. The program was coded in SwiftUI as a MVP (minimum viable product). I then took a look at NIL since its enactment and analyzed the financial impact of the rule change so far by creating a literary review that discusses the need for financial literacy and collectives’ influences on recruiting.

I have challenged myself to learn Python. I did this because I wanted to improve myself and my mindset around coding. My view on coding has changed immensely. I was intimidated by the social stigmas around coding, but I have become more comfortable with it. There were times when I thought that I would never understand something, but it became familiar. Through constant exposure, such as completing modules in DataCamp and Kaggle, I better understood the basics and uses of different models. The concepts I had learned before became clearer by completing a project I was genuinely interested in. I could search for a solution or ask my thesis director if I had an error. I enjoyed working with my thesis professor and failing many times. I have learned that I do not have to be a master within the year but must remain consistent with my practice. I will continue to practice and learn more about coding now with more confidence.