Filtering by
- All Subjects: Mental Health
- All Subjects: Italy
- Creators: School of International Letters and Cultures
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Resource Type: Text
- Status: Published
Unfortunately, medication has many possible side effects, and both medication and therapy are often expensive. However, there are alternatives for someone dealing with anxiety. This book proposal offers a range of solutions for anxiety management, from do it yourself techniques like guided imagery and yoga, to biofeedback devices like HeartMath, to research trials on Eye Movement Desensitization and Reprocessing, as well as Repetitive Transcranial Magnetic Stimulation. The idea was not to outline every potential solution for anxiety, but to educate people on available opportunities and empower them to take control.
Though anxiety can be managed and reduced, there is no cure. That’s because anxiety is a normal part of life, and in most cases a helpful evolutionary tool to keep people on track. But, when this anxiety becomes a burden on someone’s life, there is a plethora of alternative solutions available. Understanding anxiety and learning to manage it is not an impossible task. This thesis provides an introduction to the idea and then allows the reader to move forward on their own path as they choose.
ews outlet. I also gathered information from elementary, middle, high-school, and college students. Having a different variety of ages, helped me gage the influence media has on its consumers so that I could draw an accurate conclusion.
My efforts have culminated in the creation of the website mentalhealthinindia.com that can be used as a resource both by people in India as well as those abroad who are curious to learn about the stigma surrounding depression and differently abled children in India.
Coverage of Black soccer players by Italian media outlets perpetuate narratives rooted in anti-Black racism. These narratives reflect the country’s changing attitude toward immigration. Historically a country from which citizens emigrated, it is now a recipient of immigrants from Africa. These changing demographics have also caused a shift in the focus of racism in Italy, from discrimination against southern Italians to anti-Black racism. As the country has explored what defines a unified Italian identity, Afro-Italians have been excluded. This study evaluates how these perceptions of Afro-Italian soccer players manifest according to various racial frames, and the frequency with which they do so in three Italian sports dailies: La Gazzetta dello Sport, Corriere dello Sport – Stadio, and Tuttosport. In this context, Afro-Italian refers to an Italian citizen of African descent, and anti-Black racism denotes any form of discrimination, stereotyping, or racism that specifically impacts those of African descent. For this study, a representative sample was collected consisting of website coverage published by the three sports dailies: articles devoted to Mario Balotelli that appeared between 2007 and 2014, and articles devoted to Moise Kean between 2016 and 2019. Three coders recorded the content of the sample articles on a spreadsheet organized by the type of racial frame applied to Black athletes. The analysis reveals that the players were frequently portrayed as being incapable of self-determination and of having an innate, natural athletic capability, rather than one honed through practice. The coders noted that in addition to explicit racial framing, there were also instances of implicit and subtle ways these racial frames manifest. In future research, the coding procedure will need to be adapted to account for these more layered and nuanced manifestations of anti-Black racism.
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%.