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- All Subjects: Agriculture
- All Subjects: Technology
- Creators: Department of Economics
- Resource Type: Text
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%.
The outlying cities of Phoenix's West Metropolitan experienced rapid growth in the past ten years. This trend is only going to continue with an average expected growth of 449-891% between 2000 and 2035 (ADOT, 2012). Phoenix is not new to growth and has consistently seen swaths of people added to its population. This raises the question of what happened to the people who lived in Phoenix's West Valley during this period of rapid change and growth in their communities? What are their stories and what do their stories reveal about the broader public history of change in Phoenix's West Valley? In consideration of these questions, the community oral histories of eight residents from the West Valley were collected to add historical nuance to the limited archival records available on the area. From this collection, the previous notion of "post-war boomtowns” describing Phoenix’s West Valley was revealed to be highly inaccurate and dismissive of the residents' experiences who lived and formed their lives there.
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.