We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones Industrial Average. The results showed that a tri-gram bag led to a 49% trend accuracy, a 1% increase when compared to the single-gram representation’s accuracy of 48%.

Period Poverty is an issue affecting millions of people in the US alone, and in the face of this inequity, many public and private initiatives have been created to address this problem with varying degrees of success. By surveying students and interviewing public and community administrators, we have uncovered how these systems can improve to most effectively meet the needs of the communities they seek to serve. While often the primary complaint of menstruators who utilize these resources are that they are often understocked, this paper explores many other improvements which students would benefit from - such as more streamlined communication systems, improved quality and variety of products, and more efficient operational relationships.

Period Poverty is an issue affecting millions of people in the US alone, and in the face of this inequity, many public and private initiatives have been created to address this problem with varying degrees of success. By surveying students and interviewing public and community administrators, we have uncovered how these systems can improve to most effectively meet the needs of the communities they seek to serve. While often the primary complaint of menstruators who utilize these resources are that they are often understocked, this paper explores many other improvements which students would benefit from - such as more streamlined communication systems, improved quality and variety of products, and more efficient operational relationships.

The field of veterinary medicine can be rewarding, but also very demanding. Research has shown that many practicing veterinarians struggle with mental illness, and the profession has one of the highest suicide rates in the United States. Research has also shown that many veterinary students struggle with mental illness. It is important to further research the mental health of veterinary students and how that can correlate with one's mental health as a practicing veterinarian. The purpose of this project is to summarize findings of the literature concerning the mental health of veterinary students and to present a new resource, the Wisdom Vet app, that can potentially support the well-being of veterinary students.