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- All Subjects: Technology
- Creators: Department of Psychology
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
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 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.
Through the use of Arizona State University’s Founders Lab, our group of four Barrett, the Honors College Students completed a research thesis regarding the interest of college students in a sleep light technology product. The National Aeronautics and Space Administration (NASA) pioneered a sleep light technology with the ability to regulate melatonin production and circadian rhythm, resulting in an improvement of sleep quality. The technology was originally invented for astronauts to improve their sleep while in space on a spacecraft. Utilizing this technology, our group performed extensive market research with the intention of determining if college students would be interested in purchasing a consumer product incorporating the sleep light technology. We created a brand called Rhythm Illumination and began by building a website and brand guide. Next, we utilized Google Forms to generate responses to a variety of questions regarding current sleep habits, current sleep problems, and whether or not there was interest in a product like this. After determining that college students have room for sleep quality improvement and there is interest in this kind of product, we worked towards our goal of gaining traction for the product. We decided to utilize both Google Analytics results and a Zoom event’s attendance as proof of interest in our product. Google Analytics revealed over one hundred unique users on our Rhythm Illumination website. We also had eleven event attendees. Between these two tools, our team was able to conclude that there is interest among college students for a consumer product utilizing NASA’s sleep light technology