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Abstract: The Ultimate Fighting Championship or UFC as it is commonly known, was founded in 1993 and has quickly built itself into the world's foremost authority on all things MMA (mixed martial arts) related. With pay-per-view and cable television deals in hand, the UFC has become a huge competitor in the sports market, rivaling the popularity of boxing for almost a decade. As with most other sports, the UFC has seen an influx of various analytics and data science over the past five to seven years. We see this revolution in football with the broadcast first down markers, basketball with tracking player movement, and baseball with locating pitches for strikes and balls, and now the UFC has partnered with statistics company Fightmetric, to provide in-depth statistical analysis of its fights. ESPN has their win probability metrics, and statistical predictive modeling has begun to spread throughout sports. All these stats were made to showcase the information about a fighter that one wouldn't typically know, giving insight into how the fight might go. But, can these fights be predicted? Based off of the research of prior individuals and combining the thought processes of relevant research into other sports leagues, I sought to use the arsenal of statistical analyses done by Fightmetric, along with the official UFC fighter database to answer the question of whether UFC fights could be predicted. Specifically, by using only data that would be known about a fighter prior to stepping into the cage, could I predict with any degree of certainty who was going to win the fight?
ContributorsMoorman, Taylor D. (Author) / Simon, Alan (Thesis director) / Simon, Phil (Committee member) / W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Humans have traveled since the dawn of humanity over 200,000 years ago. As time progressed and technology increased, so too did human motivations and drivers for travel. This thesis aims to understand these human motivations and drivers, ultimately answering the question, "Why Travel?" To answer this question, this research starts from the earliest of humans, classifying groups of individuals across time into respective buckets based on a similar motivation. In doing so, four traveler segments were identified: the Survivors, the Inventors, the Adventurers, and the Colonists. Each segment describes an era in time of a specific group of humans, each distinctly aligning with a specific reason for travel. In the early 1800s, the advent of commercial travel altered the future of travel. This began with the invention of the locomotive and was followed by the airplane and automobile. With this onset of commercial travel, transportation arrives to its current state in 2018 with a new type of traveler: the Modern Traveler. This is a turning point in the history of travel, as prior to commercial travel, groups of individuals could be grouped under one specific reason. Post commercial travel, human motivations and drivers become diverse and discrete, with no two individuals sharing the same motivations. To further understand this human desire for travel in a modern sense, a survey was administered to uncover these drivers. The findings revealed one broad reason: humans travel for the experience. With this overarching view of travel, five drivers were also apparent. First, humans travel to visit friends and family. Secondly, family vacations are an important factor in the motivation to travel. Third, humans desire the ability to experience a culture different than their own. Fourth, humans are intrigued by new places and can be motivated to travel by the ability to have new experiences. Fifth and finally, rest and relaxation are a key driver in human travel. With a greater understanding as to "why humans travel," and the drivers behind the "experience" individuals seek through travel, such understandings could be used to segment these individuals into distinct traveler profiles. These segments, the Backpacker, the Solo-Traveler, the Groupie, the Cultural Traveler and the Party Lover, were used to better group motivations for travel. One conclusion can be drawn from this research: travel is diverse and so are travelers. One reason cannot define the motivations of a modern traveler, rather today's traveler is bound by multiple. However, segmenting an individual provides valuable insights into their own diverse traveler persona.
ContributorsCheney, Elizabeth Marie (Author) / Eaton, John (Thesis director) / Mokwa, Michael (Committee member) / Department of Supply Chain Management (Contributor) / Department of Marketing (Contributor) / School of Film, Dance and Theatre (Contributor) / W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This thesis aims to promote financial literacy in the community. It was driven by the realization that there was a lack of basic financial knowledge among people at ASU and beyond. The people involved in the reason for the guide had all heard of bonds and understood the basic concepts, but lacked the knowledge of the finite details. The research starts with an overview of the United States bond market and focuses on the creation of a short simple guide. The goal is that anyone can read the guide and have a basic understanding of bonds, talk to financial managers, and do some basic investing. The easy guide is basically a two-page crash course on investing in bonds. Anyone can take a class or watch a video on bonds, but how do they actually start investing in them? This thesis works to answer this question by providing knowledge of real world application. The goal is to take knowledge beyond a book or video and learn from actively investing in a safe and clear way. Bonds are a very useful tool in investing and provide safe returns. The investing proposed is one that would be an alternative to putting money into a savings account. The guide recommends a good starting point of a way to invest in bonds (Specifically the US Treasury). At the same time does some analysis on other investing options for more advanced investors. The work includes an analysis of five bond portfolios and the calculations of finding their actual returns after loads and other fees.
ContributorsIrwin, Carter E. (Author) / Pruitt, Seth (Thesis director) / Schreindorfer, David (Committee member) / W.P. Carey School of Business (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
As the prevalence and awareness of Autism Spectrum Disorder (ASD) increases, so does the variety of treatment options for primary symptoms (social interaction, communication, behavior) and secondary symptoms (anxiety, hyperactivity, GI problems, and insomnia). Various treatments, from Adderall to Citalopram to Flax Seed Oil promise relief for these symptoms. However, very little research has actually been done on some of these treatments. Additionally, the research that has been done fails to compare these treatments against one another in terms of symptom relief. The Autism Treatment Effectiveness Survey, written by Dr. James Adams, director of the Autism/Asperger's Research Program at ASU, and graduate student/program coordinator Devon Coleman, aims to fill this gap. The survey numerically rates medications based on benefit and adverse effects, in addition to naming specific symptoms that are impacted by the treatments. However, the survey itself was retrospective in nature and requires further evidence to support its claims. Therefore, the purpose of this research paper is to evaluate evidence related to the results of the survey. After the performing an extensive literature review of over 70 different treatments, it appears that the findings of the Autism Treatment Effectiveness Survey are generally well supported. There were a few minor discrepancies regarding the primary benefitted symptom, but there was not enough of a conflict to discount the information from the survey. As research is still ongoing, conclusions cannot yet be drawn for Nutritional Supplements, although the current data looks promising.
ContributorsAnderson, Amy Lynn (Author) / Adams, James (Thesis director) / Coleman, Devon (Committee member) / School of Nutrition and Health Promotion (Contributor) / W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The academic study of eSports, or professional competition through the medium of video games, has tended to focus on players' motivations to play and watch eSports as well as marketing concerns of huge eSports corporations. Instead of utilizing marketing or psychology to analyze this phenomenon, I investigate three areas of focus in accordance with available literature: the fans and their characteristics, the design of the game itself, and the relationship between fans and the game's developer. This investigation was conducted by first examining existing literature surrounding eSports fans, then collecting public domain data such as Reddit posts, forum posts, and YouTube videos, and last by studying interviews with developers and players. With this thesis, I apply a fan studies approach to eSports by creating a series of indicators based in each of the three focus areas which can be utilized as a systematic method of evaluating an eSport's popularity and growth.
ContributorsHilliker, Noah Henry (Author) / Ingram-Waters, Mary (Thesis director) / Schmidt, Peter (Committee member) / Anderson, Sky (Committee member) / School of Molecular Sciences (Contributor) / W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
As climate change and air pollution continue to plague the world today, committed citizens are doing their part to minimize their environmental impact. However, financial limitations have hindered a majority of individuals from adopting clean, renewable energy such as rooftop photovoltaic solar systems. England Sustainability Consulting plans to reverse this limitation and increase affordability for residents across Northern California to install solar panel systems for their energy needs. The purpose of this proposal is to showcase a new approach to procuring solar panel system components while offering the same products needed by each customer. We will examine market data to further prove the feasibility of this business approach while remaining profitable and spread our company's vision across all of Northern California.
ContributorsEngland, Kaysey (Author) / Dooley, Kevin (Thesis director) / Keahey, Jennifer (Committee member) / Department of Supply Chain Management (Contributor) / School of Social and Behavioral Sciences (Contributor) / W.P. Carey School of Business (Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Rotary drums are commonly used for their high heat and mass transfer rates in the manufacture of pharmaceuticals, cement, food, and other particulate products. These processes are difficult to model because the particulate behavior is governed by the process conditions such as particle size, particle size distribution, shape, composition, and operating parameters, such as fill level and rotation rate. More research on heat transfer in rotary drums will increase operating efficiency, leading to tremendous energy savings on a global scale. This study investigates the effects of drum fill level and rotation rate on the steady-state average particle bed temperature. 3 mm silica beads and a stainless steel rotary drum were used at fill levels ranging from 10 \u2014 25 % and rotation rates from 2 \u2014 10 rpm. Four heat guns were used to heat the system via conduction and convection, and an infrared camera was used to record temperature data. A three-level, two-factor, full-factorial design of experiments was employed to determine the effects of each factor on the steady-state average bed temperature. Low fill level and high rotation rate resulted in higher steady-state average bed temperatures. A quantitative model showed that rotation rate had a larger impact on the steady-state bed temperature than fill level.
ContributorsBoepple, Brandon Richard (Author) / Emady, Heather (Thesis director) / Adepu, Manogna (Committee member) / W.P. Carey School of Business (Contributor) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The purpose of this thesis is to examine how employers recruit university students, and determine what methods are most successful. Many companies embrace online recruiting strategies such as Handshake, but some still combine a few strategies such as career fairs, university partnerships, club sponsorships, and other online platforms aside from Handshake in order to recruit students. Research for this study was gathered through the use of two surveys administered to Arizona State University students and corporate recruiters. The student survey focuses on what mediums students find most successful in their job and internship searches, as well as what values they look for in future employers. The corporate survey asks questions related to the efforts used to attract students for future internships and full-time job opportunities. The findings reveal that companies must leverage a variety of available resources, including both online methods and on-campus events in order to find the best-fitting candidates. Likewise, students must focus on branding themselves as adaptable through their materials and continue to utilize career fairs, as well as other resources, in their job search practices. This study has a number of practical implications for employers seeking to understand how to best recruit university students given the most popular platforms used today. Students will also find practical implications from this study as they can better understand how to successfully use the available resources to the best of their ability, and how to successfully get hired by companies recruiting from Arizona State University. Recommendations for change on the students and employers respective behalf are based on survey findings and secondary research.
ContributorsCejka, Victoria Lee (Co-author) / Fragoso, Alyssa (Co-author) / LePine, Marcie (Thesis director) / Walker, Kourtney (Committee member) / W.P. Carey School of Business (Contributor) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The purpose of this thesis is to study the happiest countries in the world and see what factors, laws, and values they have in common. I will be focusing on the Scandinavian countries, as they rank highest according to the World Happiness Report. First, I will research these countries to learn more about their political, economic, educational, legal, and social landscapes. Then I will interview individuals from these countries on their views as well as values and thoughts on their country. Finally, I will compare and analyze this information to come to a conclusion to see if there are similar factors that allow these countries to be ranked so highly in the department of happiness. After reading this the reader can take away ideas of how to improve their happiness as well as new perspectives on other countries.
ContributorsFrasure, Laura S. (Author) / Moore, James (Thesis director) / Siroky, David (Committee member) / W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Monoclonal antibody therapy focuses on engineering immune cells to target specific peptide sequences indicative of disease. An impediment in the continued advancement of this market is the lack of an efficient, inexpensive means of characterization that can be broadly applied to any antibody while still providing high-density data. Many characterization methods address an antibody's affinity for its cognate sequence but overlook other important aspects of binding behavior such as off-target binding interactions. The purpose of this study is to demonstrate how the binding intensity between an antibody and a library of random-sequence peptides, otherwise known as an immunosignature, can be evaluated to determine antibody specificity and polyreactivity. A total of 24 commercially available monoclonal antibodies were assayed on 125K and 330K peptide microarrays and analyzed using a motif clustering program to predict candidate epitopes within each antigen sequence. The results support the further development of immunosignaturing as an antibody characterization tool that is relevant to both therapeutic and non-therapeutic antibodies.
ContributorsDai, Jennifer T. (Author) / Stafford, Phillip (Thesis director) / Diehnelt, Chris (Committee member) / School of Life Sciences (Contributor) / W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05