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- All Subjects: Depression
- Creators: Perez, Marisol
- 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 coronavirus pandemic has proven to be a challenging time for the Hispanic community, facing impacts on stress and depression symptoms at disproportionate rates. The current study examined the associations between socioeconomic COVID stressors and depression symptoms; and coping styles, including problem-focused and emotion-focused coping, and depression symptoms amongst Mexican heritage parents. Coping styles were also examined as a moderator of the association between socioeconomic COVID stressors and depression symptoms
The Association Between Acne and Social Appearance Anxiety and Other Correlates Among Undergraduates
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.