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- All Subjects: Depression
- All Subjects: Team Cohesion
- Creators: Hoffner, Kristin
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- 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 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.
This research paper examines the impact of journaling on anxiety and team cohesion on a women’s beach volleyball team (n=12). Each athlete was given a 30-Day Reset Journal to complete and asked to complete a mid and end of program survey assessing their anxiety and team cohesion levels. The team head coach (n=1) was asked to have weekly discussions with the team about the journal and respond to a mid and end of program survey assessing if they perceived their team was benefiting from the journal. Athlete anxiety results were broken into four categories: Total Anxiety (p value: 0.40), Worry Score (p value: 0.41), Concentration Disruption Score (p value: 0.82), and Somatic Trait Score (p value: 0.20). Team cohesion results were displayed in five categories: Total Team Cohesion (p value: 0.46), Purpose and Goals (p value: 0.17), Team Relationships (p value: 0.26), Problem Solving (p value: 0.85), and Skills and Learning (p value: 0.47). Although anxiety scores did overall decrease, the data reflected no significant difference between the middle and end surveys. Team cohesion results also displayed decreases with no significant difference between the two surveys. Throughout the study, only four statements within the survey displayed significant change between mid and end program surveys (three anxiety and one team cohesion). Though results were not found to be significant, this study provides some insight into the potential benefits journaling can offer athletes in lowering their anxiety and how placing an emphasis on team discussion with a focus on goal development and shared purpose can increase team cohesion.