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Description
Multiple sclerosis is a neurological disease that attacks the nerves in the central nervous system of the brain and spinal cord. Multiple sclerosis is a neurological disease that attacks the nerves in the central nervous system of the brain and spinal cord. The severity of multiple sclerosis varies based on the each person and the progression of the disease. There are roughly 2.5 million people that suffer from this disease that life is changed dramatically from being diagnosed with no main way to ease into adjusting to a new lifestyle. The increase of people that are diagnosed with multiple sclerosis, and with a majority of those people being diagnosed in their early 20’s, there is a need for an application that will help patients manage their health. Multiple sclerosis leads to a lifestyle change, which includes various treatment options as well as routine doctor appointments. The creation of the myMS Specialist application will allow patients with multiple sclerosis to live a more comfortable lifestyle while they easily track and manage their health through their mobile devices. Our application has seven components that all play an important role in adjusting to the new everyday lifestyle for a patient with multiple sclerosis. All seven components are largely intertwined with each other to help patients realize patterns in their diet, sleep, exercise and the weather that causes their symptoms to worsen. Our application not only connects to a patient’s doctor so that there is full access of information at all time to the doctor but provides beneficial research to help further the understanding of multiple sclerosis. This application will be marketed and available for purchase to not only patients but doctors. It is our goal to lessen the burden of a new lifestyle to a patient, create constant communication with one’s doctor and provide beneficial data to researchers.
ContributorsSaenz, Devon (Co-author) / Peterson, Tyler (Co-author) / Chomina-Chavez, Aram (Thesis director) / Staats, Cody (Committee member) / W. P. Carey School of Business (Contributor) / Herberger Institute for Design and the Arts (Contributor) / School of Accountancy (Contributor) / Sandra Day O'Connor College of Law (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The detection and characterization of transients in signals is important in many wide-ranging applications from computer vision to audio processing. Edge detection on images is typically realized using small, local, discrete convolution kernels, but this is not possible when samples are measured directly in the frequency domain. The concentration factor edge detection method was therefore developed to realize an edge detector directly from spectral data. This thesis explores the possibilities of detecting edges from the phase of the spectral data, that is, without the magnitude of the sampled spectral data. Prior work has demonstrated that the spectral phase contains particularly important information about underlying features in a signal. Furthermore, the concentration factor method yields some insight into the detection of edges in spectral phase data. An iterative design approach was taken to realize an edge detector using only the spectral phase data, also allowing for the design of an edge detector when phase data are intermittent or corrupted. Problem formulations showing the power of the design approach are given throughout. A post-processing scheme relying on the difference of multiple edge approximations yields a strong edge detector which is shown to be resilient under noisy, intermittent phase data. Lastly, a thresholding technique is applied to give an explicit enhanced edge detector ready to be used. Examples throughout are demonstrate both on signals and images.
ContributorsReynolds, Alexander Bryce (Author) / Gelb, Anne (Thesis director) / Cochran, Douglas (Committee member) / Viswanathan, Adityavikram (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Chebfun is a collection of algorithms and an open-source software system in object-oriented Matlab that extends familiar powerful methods of numerical computation involving numbers to continuous or piecewise-continuous functions. The success of this strategy is based on the mathematical fact that smooth functions can be represented very efficiently by polynomial interpolation at Chebyshev points or by trigonometric interpolation at equispaced points for periodic functions. More recently, the system has been extended to handle bivariate functions and vector fields. These two new classes of objects are called Chebfun2 and Chebfun2v, respectively. We will show that Chebfun2 and Chebfun2v, and can be used to accurately and efficiently perform various computations on parametric surfaces in two or three dimensions, including path trajectories and mean and Gaussian curvatures. More advanced surface computations such as mean curvature flows are also explored. This is also the first work to use the newly implemented trigonometric representation, namely Trigfun, for computations on surfaces.
ContributorsPage-Bottorff, Courtney Michelle (Author) / Platte, Rodrigo (Thesis director) / Kostelich, Eric (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This thesis is broken down into two sections. The first being market research and the second being the creation of the financial guide. The first section includes our primary and secondary data. In this section, we discover whether or not there is an actual need for a financial guide among college students, as well as the relationships among different variables that we included in our survey. The second section comes in the format of a financial guide that we have created. It includes topics that that our survey respondents feel most pertinent to them. It also uses the data we collected to emphasize certain topics over others in order to educate our readers and capture their attention as much as possible.
ContributorsShi, Cindy (Co-author) / Megan, Vogelsang (Co-author) / Hoffman, David (Thesis director) / Park, Sungho (Committee member) / W. P. Carey School of Business (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
It is important to examine training programs for in-store associates in the specialty retail industry. The retail industry is strong right now, and growth is expected to be at 7% over the next 10 years. In the retail industry, the Internet poses a credible threat to brick and mortar stores, as many customers now prefer to shop online. To compensate for this, storefronts need to provide an increasingly exceptional in-store experience to drive sales and maintain customer relationships. Creating excellent training programs for in-store associates is the best way in which to improve the relationship between the customer and the associate and create an excellent store experience. Strong associate training programs have numerous benefits to the overarching organization. An employee that feels confident and competent in their job is more engaged at work. Engaged employees are less likely to quit than average, which means a strong training program can save a company turnover costs and loss of institutional knowledge. Additionally, an engaged associate is more likely to exert extra discretionary effort, which increases operational efficiency. Ultimately, an engaged employee will strengthen the service profit chain and create a better overall experience for the customer. When creating a training program it is important to take into account the learning preferences of the company's associates. Millennial learners prefer working in groups, integrated technology, and lessons that are applicable to real life. Generation X learners are self-sufficient and view time as a luxury. They expect material to be straightforward and concise. Additionally, when creating a training program it is important to benchmark programs within and outside of the operating industry. REI has a comprehensive training program that focuses on connecting employees to the mission of the company as well as in-depth product knowledge. Macy's recently overhauled its training program to include more face time with managers and semi-annual refresher trainings. Ritz-Carlton, a step outside of the retail industry, provides legendary training where employees receive over 250 hours of training in the first year alone. Ritz-Carlton employees are highly engaged and autonomous in their work, which leads to an excellent hotel experience. Using my internship as a field study, I share some important results from work with a Fortune 400 specialty retailer headquartered in the Phoenix Valley. Here I examine the associate and customer relationship with the aim of improving the in-store experience. Through benchmarking, associate interviews, and data analysis I am able to recommend a long-term vision for training at the organization where up-to-date product information is accessible in the aisle and overall knowledge well rounded through buddy shift programs and cross-training. My overall recommendation for the specialty retail industry is to take a holistic approach to training. I advocate looking at training programs from multiple perspectives including learning preferences, employee motivations, and corporate culture. Additionally, holistic training means that a company educates and trains associates in all areas of the business through cross-training and buddy shifts. Holistic training will create an engaged work force and improve the customer experience.
ContributorsHouts, Madeline Kirby (Author) / Mokwa, Michael (Thesis director) / Eaton, John (Committee member) / Department of Management (Contributor) / Department of Marketing (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Conflict minerals are those that are taken from violent, militia controlled mines in areas like the Democratic Republic of the Congo and used in technology such as laptops, cellphones, and computers. They are then sold to fund bloody wars that have been raging for years. The issue of conflict minerals continue to rise as technology advances. To combat the issue, the Dodd-Frank Act was implemented in the U.S. in 2010. The act requires companies listed on the stock exchange to report information on possible conflict mineral usage. However, there is a large discrepancy in the compliance levels between many similar technology companies subject to the Dodd-Frank Act. This paper addresses the factors driving compliance through the use of a theory testing method known as pattern matching, and attempts to answer why such similar companies have such different compliance levels. The pattern matching technique looks to test the applicability of theories based on what they theorize will happen and what actually happens in a given scenario. In this instance, the theories know as general deterrence, institutional, and stakeholder theory were put to the test in order to identify the factors driving compliance levels with conflict mineral policies. Both general deterrence and stakeholder theory were able to adequately match their theorized outcomes of conflict mineral compliance with actual observed outcomes. However, general deterrence theory more adequately explained the differences in compliance levels between similar companies. This information has implications on the policy side of the issue, as it reveals a way to more effectively drive up compliance levels by increasing disincentives and penalties in accordance with general deterrence theory.
ContributorsMeyer, Matthew Jacob (Author) / Kull, Thomas (Thesis director) / Wood, Reed (Committee member) / Department of Supply Chain Management (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
As the IoT (Internet of Things) market continues to grow, Company X needs to find a way to penetrate the market and establish larger market share. The problem with Company X's current strategy and cost structure lies in the fact that the fastest growing portion of the IoT market is microcontrollers (MCUs). As Company X currently holds its focus in manufacturing microprocessors (MPUs), the current manufacturing strategy is not optimal for entering competitively into the MCU space. Within the MCU space, the companies that are competing the best do not utilize such high level manufacturing processes because these low cost products do not demand them. Given that the MCU market is largely untested by Company X and its products would need to be manufactured at increasingly lower costs, it runs the risk of over producing and holding obsolete inventory that is either scrapped or sold at or below cost. In order to eliminate that risk, we will explore alternative manufacturing strategies for Company X's MCU products specifically, which will allow for a more optimal cost structure and ultimately a more profitable Internet of Things Group (IoTG). The IoT MCU ecosystem does not require the high powered technology Company X is currently manufacturing and therefore, Company X loses large margins due to its unnecessary leading technology. Since cash is king, pursuing a fully external model for MCU design and manufacturing processes will generate the highest NPV for Company X. It also will increase Company X's market share, which is extremely important given that every tech company in the world is trying to get its hands into the IoT market. It is possible that in ten to thirty years down the road, Company X can manufacture enough units to keep its products in-house, but this is not feasible in the foreseeable future. For now, Company X should focus on the cost market of MCUs by driving its prices down while maintaining low costs due to the variables of COGS and R&D given in our fully external strategy.
ContributorsKadi, Bengimen (Co-author) / Peterson, Tyler (Co-author) / Langmack, Haley (Co-author) / Quintana, Vince (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Supply Chain Management (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / School of Accountancy (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Sex trafficking in the United States is an enormous illegal underground business economy that involves the sexual exploitation of many persons. Due to the large nature of the sex trafficking business and the many different types of sex trafficking, it is helpful for social workers, government agencies, and activists to understand the intricacies of the various types of sex trafficking. This research focused on determining the human resources business structures behind pimp businesses that relied on mental coercion of the victim. The data source used, Pimpfeet.com—an online pimp authored blog—provided data from actual pimps on their business practices that were analyzed to determine trends in recruitment and retention. These trends were compared to human resource management theories from business literature to determine to what extent, or if at all, a pimp’s business recruited and retained workers in a way that was similar to how a legal business would, according to human resources strategies. The data extracted from Pimpfeet.com and used in this study consisted of 69 pimp quotes that were put into three recruitment categories and five retention categories based on human resource management literature in order to see which categories were used for recruitment and retention by pimps. This study found that pimp recruitment and retention followed, to some extent, the same models described in the human resource management literature, with slight modifications. This study showed that job embeddedness theory (Holtom, Mitchel and Lee, 2009) was able to explain much of why sex trafficking victims are retained so well by pimps since they are so embedded in the prostitution lifestyle. These findings show the different business techniques that pimps use for recruitment and retention of sex workers and are useful for understanding how a social worker, government entity or an activist can combat these forces to help remove victims from a pimp’s control, or keep victims from getting recruited in the first place. Further areas of research related to this topic were suggested.
ContributorsRivera, Kameron (Co-author) / La Benz, Alexis (Co-author) / Roe-Sepowitz, Dominique (Thesis director) / Corley, Kevin (Committee member) / W. P. Carey School of Business (Contributor) / Chemical Engineering Program (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
"The Problem of Hope: Literary Tragedy in Mid-Twentieth Century American Fiction" examines Arthur Miller's Death of a Salesman, Ralph Ellison's Invisible Man, and Sylvia Plath's The Bell Jar through the lens of tragedy. This thesis delves into how conflicts between internal and external identities can create a tragic individual, what kinds of success count toward achievement of the "American Dream," and whether the tragic "common man" is the socially normative one or the socially disenfranchised one. It raises a three-dimensional theoretical approach to American tragedy and, most importantly, considers the significance of tragic hope for American literature. This paper questions the construction of American identities across class, race, and gender according to social scripts. It seeks to uncover what forces these scripts exert on American cultural myths and rereads those myths through tragedy to explore Miller's idea of a noble common man. By moving from Miller to Ellison to Plath, this thesis traces the undercurrents of tragedy through some of the most identity-focused novels of mid-twentieth century American fiction to see how the overarching American narrative changed from 1940 to 1969 as the US underwent significant social changes domestically and image changes abroad. Ultimately, this paper concludes that tragedy in mid-twentieth century American fiction points toward a new idea of American success as a success that occurs beyond social scripts.
ContributorsMedeiros, Amy Marie (Author) / Holbo, Christine (Thesis director) / Sadowski-Smith, Claudia (Committee member) / Department of English (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Honey bees (Apis mellifera) are responsible for pollinating nearly 80\% of all pollinated plants, meaning humans depend on honey bees to pollinate many staple crops. The success or failure of a colony is vital to global food production. There are various complex factors that can contribute to a colony's failure, including pesticides. Neonicotoids are a popular pesticide that have been used in recent times. In this study we concern ourselves with pesticides and its impact on honey bee colonies. Previous investigations that we draw significant inspiration from include Khoury et Al's \emph{A Quantitative Model of Honey Bee Colony Population Dynamics}, Henry et Al's \emph{A Common Pesticide Decreases Foraging Success and Survival in Honey Bees}, and Brown's \emph{ Mathematical Models of Honey Bee Populations: Rapid Population Decline}. In this project we extend a mathematical model to investigate the impact of pesticides on a honey bee colony, with birth rates and death rates being dependent on pesticides, and we see how these death rates influence the growth of a colony. Our studies have found an equilibrium point that depends on pesticides. Trace amounts of pesticide are detrimental as they not only affect death rates, but birth rates as well.
ContributorsSalinas, Armando (Author) / Vaz, Paul (Thesis director) / Jones, Donald (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05