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The presence of evidence-based programs (EBPs) in serious mental illness (SMI) titled populations have been an important subject within clinical implementation research in recent years. The SMI population represents 24% of incarcerated persons, as well as has the highest rates of homelessness, sexual and physical abuse victimization, unemployment, and suicide;

The presence of evidence-based programs (EBPs) in serious mental illness (SMI) titled populations have been an important subject within clinical implementation research in recent years. The SMI population represents 24% of incarcerated persons, as well as has the highest rates of homelessness, sexual and physical abuse victimization, unemployment, and suicide; thus, this population presents specific challenges over other commonly studied implementation populations. Despite some advances, most existing literature has yet to take into account that many SMI titles individuals receive services through state-run systems. To build upon this gap in research and practice, a qualitative case study was performed on the barriers and facilitators to implementation in a state-run organization providing services solely to a large SMI population in the state of Arizona. Results indicate that what appears to be important about this population is not so much specific barriers that other populations do not encounter, but how barriers or facilitators are related. Important implementation barrier relationships were between organization and standardization and measurement, and between communication and attitudes. For facilitators, accountability and approach to service appeared to be interrelated. Researchers hypothesize that these distinct barriers and facilitators may be present due to the high presence of court-mandated individuals and limits of service depth and breadth in a state-run system.
ContributorsLokey, Savannah Brittany (Author) / Anne, Mauricio (Thesis director) / Berkel, Lady (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor)
Created2015-05
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Description

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

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%.

ContributorsBarolli, Adeiron (Author) / Jimenez Arista, Laura (Thesis director) / Wilson, Jeffrey (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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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

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.

ContributorsYounger, Darien (Author) / Jimenez Arista, Laura (Thesis director) / Ocampo-Hoogasian, Rachel (Committee member) / Barrett, The Honors College (Contributor) / College of Integrative Sciences and Arts (Contributor)
Created2022-05