Matching Items (3)
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- All Subjects: Globalization
- Creators: Wilson, Jeffrey
- Creators: Alarcon, Justo
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Resource Type: Text
Description
Former two-time Costa Rican president Dr. Oscar Arias advocates for arms control between nations and, in some cases, complete disarmament as the first step in solving grave issues of international sustainability. The three spheres of sustainability—society, economy, and environment—are explained and the ultimate goal of the compromise between all three aspects is defined as the means to achieving sustainability. A brief history of the politics and culture of Costa Rica provides a glimpse into the values and society of this Central American country, including a consistent commitment to the appreciation and protection of its natural environment. Dr. Arias is credited as one of the founding fathers of the sustainable development movement, as evidenced by his political career and policies both with Costa Rica and with other international communities. A selection of Dr. Arias’ speeches and conversations of the past four decades illuminates the need for disarmament and peaceful political interactions as the catalyst for human progress and sustainable development.
ContributorsZywicki, Alexandra (Author) / Alarcon, Justo (Thesis director) / Printezis, Antonios (Committee member) / Sullivan, Claire (Committee member) / Barrett, The Honors College (Contributor)
Created2015-05
DescriptionDuring the Third Wave of Democratization, the United States has influenced many different cultures through politics and social interests. The way in which this has occurred is through their marketing and advertising. Many companies are the reason that the United States is a super power today.
ContributorsNebeker, Garrett Albert (Author) / Wilson, Jeffrey (Thesis director) / Reiser, Mark (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / W. P. Carey School of Business (Contributor)
Created2015-05
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 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