Filtering by
- All Subjects: Mental illness
- Creators: Department of English
- Creators: Jimenez Arista, Laura
- Creators: Anne, Mauricio
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Resource Type: Text
More specifically, this play works within the cross-section of religion/spirituality, mental illness, and UFO and other extra-terrestrial related anomalies to ask such questions as: What does it mean to be Human? What does it mean to be "alien" or Other? How do we internally and externally construct a binary between Humanness and Otherness, between Self and Other? How do we construct reality? In what ways does this anthropomorphize our conceptions of the Human or the Other? In what ways, specifically, may this affect our understanding or manifestation of mental illness, in ourself and others?
The play you see here is a final draft for the thesis, but is still in development elsewhere. Here is a brief log line (i.e. a short description of the general plot and conflict of a script) for the piece: Four sisters from a broken home must deal with the sudden discovery of their late father's communication with an extra-terrestrial race bearing a message of Love-and-Peace. When they, too, begin to communicate with the E.T.'s, they must juggle issues of mental illness, memory, and trauma all while outrunning a shadow government that will stop at nothing to uncover their secret.
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.