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This creative group project aims to bring visibility to the diversity of the LGBTQ+ community at Arizona State University by sharing the personal stories and opinions of people from across ASU's rainbow spectrum. Created and produced by a gay couple that met in their first year dorm and a passionate ally, gAySU: Exploring Sparky's Rainbow is a compilation of photos, videos, and stories from ASU students, faculty, and staff that identify with the LGBTQ+ community. When reflecting on their own journey over the past three years, gAySU's creators recognized ASU can feel large with many pockets of communities, yet through trial and error over the past 4 years they managed to explore their identities and grow as individuals, as a couple, and as an ally. By sharing their story and the stories of others, it is the hope that gAySU allows its readers and viewers an insight into what it means to be both a Sun Devil and LGBTQ+, and for those new to or anxious to identify with the LGBTQ+ community, to understand they are not alone in their journey and that it is okay to bleed maroon, gold, and all other colors of the rainbow.
ContributorsKing, Shay Scott (Co-author) / Hendricks, Brock (Co-author) / Hom, Claire (Co-author) / Dove-Viebahn, Aviva (Thesis director) / Sanchez, Daniel (Committee member) / W.P. Carey School of Business (Contributor) / School of Politics and Global Studies (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This thesis explores the various reasons that Broadway musicals fail, or "flop". It goes into detail on several musicals of different genres, and explains what their shortcomings were, whether it be a less-than-perfect book, a weak score, or a production team that was not experienced in the skills that it takes to put together a musical. It discusses how long the shows ran for, or if they ever made it into a Broadway house. It looks at what the audience reception was like for each show, and whether the shows were a success with the tough critics of Broadway. In addition to this, I have recorded several of my peers performing songs from the musicals I have discussed in the written portion of this thesis. This helps to educate an audience on what it would have been like for one of the flop's real performances. The videos also do a wonderful job of communicating what the show sounds like, and how it can make an audience feel or react. Lastly, it gives more insight into why the musicals they are from failed to thrive in front of a Broadway audience. Through my research, I have discovered that creating a musical is possibly one of the most difficult feats a team of creative people can accomplish. There are countless reasons for failure in these shows, but overall, I feel that every failure had something to offer, and because of that, are surely worth celebrating.
ContributorsUrias-Ramonett, Sedona Lee (Author) / Yatso, Toby (Thesis director) / Dreyfoos, Dale (Committee member) / W.P. Carey School of Business (Contributor) / School of Music (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Glioblastoma multiforme (GBMs) is the most prevalent brain tumor type and causes approximately 40% of all non-metastic primary tumors in adult patients [1]. GBMs are malignant, grade-4 brain tumors, the most aggressive classication as established by the World Health Organization and are marked by their low survival rate; the median survival time is only twelve months from initial diagnosis: Patients who live more than three years are considered long-term survivors [2]. GBMs are highly invasive and their diffusive growth pattern makes it impossible to remove the tumors by surgery alone [3]. The purpose of this paper is to use individual patient data to parameterize a model of GBMs that allows for data on tumor growth and development to be captured on a clinically relevant time scale. Such an endeavor is the rst step to a clinically applicable predictions of GBMs. Previous research has yielded models that adequately represent the development of GBMs, but they have not attempted to follow specic patient cases through the entire tumor process. Using the model utilized by Kostelich et al. [4], I will attempt to redress this deciency. In doing so, I will improve upon a family of models that can be used to approximate the time of development and/or structure evolution in GBMs. The eventual goal is to incorporate Magnetic Resonance Imaging (MRI) data into a parameterized model of GBMs in such a way that it can be used clinically to predict tumor growth and behavior. Furthermore, I hope to come to a denitive conclusion as to the accuracy of the Koteslich et al. model throughout the development of GBMs tumors.
ContributorsManning, Miles (Author) / Kostelich, Eric (Thesis director) / Kuang, Yang (Committee member) / Preul, Mark (Committee member) / Barrett, The Honors College (Contributor) / College of Liberal Arts and Sciences (Contributor)
Created2012-12