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- All Subjects: Depression
- All Subjects: Emotion Regulation
- Creators: Davis, Mary
- 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%.
People use a variety of emotion regulation strategies to cope with difficult situations. Although there is research supporting humor as an effective emotion regulation strategy, less is known about what circumstances lead people to use humor and what negative emotions humor seems to be the most helpful in mitigating. The current study aimed to determine to what extent specific negative emotions lead people to choose humor as an emotion regulation strategy. Participants wrote about a neutral situation and then selected from four card decks with different stimuli (funny, pleasant, awe-inspiring, or neutral). Participants were then randomly assigned to a negative emotion condition (sadness, embarrassment, anxiety, or anger) and wrote about a situation in which they have experienced that specific emotion. They then completed the card selection task again. We compared the number of funny cards chosen between the neutral vs negative emotion trials for each emotion. We found that card selection did not change significantly from the neutral-affect trial to the negative emotion trial across any of the negative emotions. Limitations and future directions are discussed.
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.
Background: Unintentional injury has been the leading cause of death for children and teenagers in the United States for the past 2 decades. Its health outcomes are often studied, but it may also relate to psychological concepts such as emotion dysregulation, which may also result in severe outcomes for individuals, families, and societies. There is no consensus on a conceptual definition of emotion dysregulation, and little prior literature on the specific relation between dysregulation and injury in the transition to adolescence. Methods: The current study aims to identify latent factors of emotion dysregulation using exploratory factor analyses. Subsequently, multilevel regressions illuminate relations between dysregulation and injury at 2 late childhood and early adolescence time points in a large ethnically, socioeconomically, and regionally representative sample of Arizona twins recruited from birth records and ongoing efforts. Results: 6 total factors representing emotion dysregulation at 2 ages were created. Factors were valid when tested against temperament and psychopathology constructs. No significant longitudinal or cross-sectional associations between emotion dysregulation factors and unintentional injury were found. Sex and rurality differences were found in factor scores and dysregulation outcomes. Discussion: The current study highlights new avenues of research and funding. Future research on this topic should reflect a concentrated and nuanced focus on injury. Concordant age 9 and age 11 factors loaded differently, which urges the field to strive toward developing a standardized definition for emotion dysregulation. Covariate differences highlight target populations for interventions in unintentional injury and emotion dysregulation, which remain independent areas of concern.