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 purpose of this study was to identify the different contributors and predictors related to athlete burnout. Athlete burnout consists of emotional and physical exhaustion, reduced sense of accomplishments and sport devaluation. Moreover, motivation type, athletic identity, and being a student athlete can affect athlete burnout. Participants of this study were female, Division I soccer student-athletes located in Tempe, Arizona [n=22]. Athlete burnout was assessed with the Athlete Burnout Questionnaire (ABQ). Motivation type was assessed with the Behavioral Regulation in Sport Questionnaire (BRSQ). Athletic identity was assessed with the Athletic Identity Measurement Scale (AIMS). Student burnout was assessed with the Maslach Burnout Inventory - Student Survey (MBI-SS). All of the questionnaires were answered based on a Likert scale. Pearson correlations were used to find relationships between the different variables and athlete burnout. The results showed that 50% of the participants were burnt out at the end of their competitive season. Correlations were shown between the ABQ and its subscales: reduced accomplishment (r=0.6101, p<0.05), physical and mental exhaustion (r=0.8170, p<0.05), and devaluation (r=0.8697, p<0.05). Furthermore, the ABQ was also negatively correlated with general intrinsic motivation (r=-0.4943, p<0.05) and intrinsic motivation to know (r=-0.4865, p<0.05). The results from this study should be used for further research that focuses on education and prevention of athlete burnout in female soccer players.

The purpose of this study was to identify the different contributors and predictors related to athlete burnout. Athlete burnout consists of emotional and physical exhaustion, reduced sense of accomplishments and sport devaluation. Moreover, motivation type, athletic identity, and being a student athlete can affect athlete burnout. Participants of this study were female, Division I soccer student-athletes located in Tempe, Arizona [n=22]. Athlete burnout was assessed with the Athlete Burnout Questionnaire (ABQ). Motivation type was assessed with the Behavioral Regulation in Sport Questionnaire (BRSQ). Athletic identity was assessed with the Athletic Identity Measurement Scale (AIMS). Student burnout was assessed with the Maslach Burnout Inventory - Student Survey (MBI-SS). All of the questionnaires were answered based on a Likert scale. Pearson correlations were used to find relationships between the different variables and athlete burnout. The results showed that 50% of the participants were burnt out at the end of their competitive season. Correlations were shown between the ABQ and its subscales: reduced accomplishment (r=0.6101, p<0.05), physical and mental exhaustion (r=0.8170, p<0.05), and devaluation (r=0.8697, p<0.05). Furthermore, the ABQ was also negatively correlated with general intrinsic motivation (r=-0.4943, p<0.05) and intrinsic motivation to know (r=-0.4865, p<0.05). The results from this study should be used for further research that focuses on education and prevention of athlete burnout in female soccer players.

The main scope of this study was to analyze the impact support and identity have on the collegiate athletic career transition process. While student-athletes undergo a variety of transitions, this study focused on the career transition out of collegiate athletics regardless of their reason for leaving or their next steps. The motivation for conducting this research is to take the challenges and recommendations to the next steps and reform the common practice of career transition and provide assistance to athletes facing adversity in this position. A study on 32 voluntary student-athletes in different phases of the transition process ranging from current student-athletes to graduated student-athletes years detached from their sport was conducted via electronic questionnaire. Questions about demographics and their personal experiences relating to identity, support, and transition as a whole were asked regarding their time as student-athletes through their transition (if applicable). Through analyzing the responses and previous literature, it is evident that support is necessary from the early stages as a student-athlete through their transition out of the sport to minimize the negative impact. It is also apparent that one's athletic identity is established early on in their career and is difficult to dissociate from to rediscover a personal identity not connected to athletic performance. Knowing what we do now, there are limitations in the findings such as within the demographics, questionnaire, and clarity. This would be beneficial to research and study further to optimize a solution to assist in the athletic career transition process and alleviate additional barriers athletes face when no longer having their sport.

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.