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DescriptionPanic at the Elbow: High School Baseball's Tommy John Surgery Epidemic reflects on the history of Tommy John surgery, examines the scale of the current epidemic, explores its underlying causes and ultimately recommends steps that parents and players can take to avoid such overuse injuries. Link to documentary: https://www.youtube.com/watch?v=31xvOCN_tqk
ContributorsMargiott, Benjamin James (Author) / Kurland, Brett (Thesis director) / Byck, Peter (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
In this study, I aim to understand general knowledge of menstruation and reproductive health among women who live and work in Dakar, Senegal. While there is an established nationalized sex education curriculum and robust HIV prevention campaigns, there is nonetheless an unmet need for sexual health education in Senegal and limited access to family planning services in low-income communities. I examine data obtained from surveys conducted with participants selected using convenience sampling in five different neighborhoods in Dakar, as well as ethnographic observations during the four month period of study. Qualitative and quantitative analyses address women's comforts levels during menstruation, barriers to access of high quality menstrual care products, familiarity with different kinds of contraceptive methods, and information on where women receive information regarding puberty, sex, and menstruation. Results show that most participants seek out family members, female friends and other respected members in the community for reproductive development information. National programs and international organizations sponsor youth to become community educators, who offer an informal and more accessible method of education. Earlier research shows that informal methods of education can be extremely effective ; in the setting of Dakar, young health educators are also creating inclusive and safe spaces for meaningful discussions about sexuality to be held, combating the negative effects of the traditional patriarchal and conservative culture. Relationships with one's community are extremely important, and can be an invaluable resource in transmitting sexual and reproductive health information to women. Improved understanding of reproductive health among women in Senegal can encourage them to make informed decisions about family planning.
ContributorsShirazi, Afsoon Louise (Author) / Hayford, Sarah (Thesis director) / Suk, Mina (Committee member) / School of International Letters and Cultures (Contributor, Contributor) / School of Social Transformation (Contributor) / School of Human Evolution and Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Alternative currencies have a long and varied history, in which Bitcoin is the latest chapter. The pseudonymous Satoshi Nakamoto created Bitcoin as an implementation of the concept of a cryptocurrency, or a decentralized currency based on the principles of cryptography. Since its creation in 2008, Bitcoin has had a fairly tumultuous existence that limited its adoption. Wide price fluctuations occurred as the appeal of free money by running a piece of computer software drove people to purchase expensive hardware, and high-profile scandals cast Bitcoin as an unstable currency well-suited primarily for purchasing illicit materials. Consumer confidence in the currency was extremely low, and businesses were extremely hesitant to accept a currency that could easily lose half (or more) of its value overnight. However, recent years have seen the currency begin to stabilize as businesses and mainstream investors have begun to accept and support it. Alternative cryptocurrencies, titled "altcoins," have also been created to fill market niches that Bitcoin was not addressing. Governmental intervention, a concern of many following the currency, has been surprisingly restrained and has actually contributed to its stability. The future of Bitcoin looks very bright as it carries the dream of the alternative currency forward into the 21st century.
ContributorsReardon, Brett (Co-author) / Burke, Ryan (Co-author) / Happel, Stephen (Thesis director) / Boyes, William (Committee member) / School of Politics and Global Studies (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Introduction: There are 350 to 400 pediatric heart transplants annually according to the Pediatric Heart Transplant Database (Dipchand et al. 2014). Finding appropriate donors can be challenging especially for the pediatric population. The current standard of care is a donor-to-recipient weight ratio. This ratio is not necessarily a parameter directly indicative of the size of a heart, potentially leading to ill-fitting allografts (Tang et al. 2010). In this paper, a regression model is presented - developed by correlating total cardiac volume to non-invasive imaging parameters and patient characteristics – for use in determining ideal allograft fit with respect to total cardiac volume.
Methods: A virtual, 3D library of clinically-defined normal hearts was compiled from reconstructed CT and MR scans. Non-invasive imaging parameters and patient characteristics were collected and subjected to backward elimination linear regression to define a model relating patient parameters to the total cardiac volume. This regression model was then used to retrospectively accept or reject an ‘ideal’ donor graft from the library for 3 patients that had undergone heart transplantation. Oversized and undersized grafts were also transplanted to qualitatively analyze virtual transplantation specificity.
Results: The backward elimination approach of the data for the 20 patients rejected the factors of BMI, BSA, sex and both end-systolic and end-diastolic left ventricular measurements from echocardiography. Height and weight were included in the linear regression model yielding an adjusted R-squared of 82.5%. Height and weight showed statistical significance with p-values of 0.005 and 0.02 respectively. The final equation for the linear regression model was TCV = -169.320+ 2.874h + 3.578w ± 73 (h=height, w=weight, TCV= total cardiac volume).
Discussion: With the current regression model, height and weight significantly correlate to total cardiac volume. This regression model and virtual normal heart library provide for the possibility of virtual transplant and size-matching for transplantation. The study and regression model is, however, limited due to a small sample size. Additionally, the lack of volumetric resolution from the MR datasets is a potentially limiting factor. Despite these limitations the virtual library has the potential to be a critical tool for clinical care that will continue to grow as normal hearts are added to the virtual library.
Methods: A virtual, 3D library of clinically-defined normal hearts was compiled from reconstructed CT and MR scans. Non-invasive imaging parameters and patient characteristics were collected and subjected to backward elimination linear regression to define a model relating patient parameters to the total cardiac volume. This regression model was then used to retrospectively accept or reject an ‘ideal’ donor graft from the library for 3 patients that had undergone heart transplantation. Oversized and undersized grafts were also transplanted to qualitatively analyze virtual transplantation specificity.
Results: The backward elimination approach of the data for the 20 patients rejected the factors of BMI, BSA, sex and both end-systolic and end-diastolic left ventricular measurements from echocardiography. Height and weight were included in the linear regression model yielding an adjusted R-squared of 82.5%. Height and weight showed statistical significance with p-values of 0.005 and 0.02 respectively. The final equation for the linear regression model was TCV = -169.320+ 2.874h + 3.578w ± 73 (h=height, w=weight, TCV= total cardiac volume).
Discussion: With the current regression model, height and weight significantly correlate to total cardiac volume. This regression model and virtual normal heart library provide for the possibility of virtual transplant and size-matching for transplantation. The study and regression model is, however, limited due to a small sample size. Additionally, the lack of volumetric resolution from the MR datasets is a potentially limiting factor. Despite these limitations the virtual library has the potential to be a critical tool for clinical care that will continue to grow as normal hearts are added to the virtual library.
ContributorsSajadi, Susan (Co-author) / Lindquist, Jacob (Co-author) / Frakes, David (Thesis director) / Ryan, Justin (Committee member) / Harrington Bioengineering Program (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This thesis looks into the current method a particular company uses to value its inventory carrying costs (ICC). By identifying costs incurred during all stages of production, along with incorporating industry standards and academic research while avoiding the shortcomings of the company's current method, this thesis was able to derive a more comprehensive and manageable tool for measuring ICC. Our findings led to concrete recommendations, which will provide real value to company managers by improving the accuracy of project finance calculations, supply chain optimization modeling, and numerous other decisions relying on accurate inventory data inputs.
ContributorsDougherty, Mitch (Co-author) / Marshall, Jeffrey (Co-author) / Zieler, Jason (Co-author) / Gilmore, Eric (Co-author) / Hertzel, Michael (Thesis director) / Simonson, Mark (Committee member) / Yarn, James (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2014-05
Description
Company X is one of the world's largest manufacturer of semiconductors. The company relies on various suppliers in the U.S. and around the globe for its manufacturing process. The financial health of these suppliers is vital to the continuation of Company X's business without any material interruption. Therefore, it is in Company X's interest to monitor its supplier's financial performance. Company X has a supplier financial health model currently in use. Having been developed prior to watershed events like the Great Recession, the current model may not reflect the significant changes in the economic environment due to these events. Company X wants to know if there is a more accurate model for evaluating supplier health that better indicates business risk. The scope of this project will be limited to a sample of 24 suppliers representative of Company X's supplier base that are public companies. While Company X's suppliers consist of both private and public companies, the used of exclusively public companies ensures that we will have sufficient and appropriate data for the necessary analysis. The goal of this project is to discover if there is a more accurate model for evaluating the financial health of publicly traded suppliers that better indicates business risk. Analyzing this problem will require a comprehensive understanding of various financial health models available and their components. The team will study best practice and academia. This comprehension will allow us to customize a model by incorporating metrics that allows greater accuracy in evaluating supplier financial health in accordance with Company X's values.
ContributorsLi, Tong (Co-author) / Gonzalez, Alexandra (Co-author) / Park, Zoon Beom (Co-author) / Vogelsang, Meridith (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Global Devils is an organization of students that are interested or have previously studied, lived, travelled or interned abroad. The members advocate for cultural and global experiences that academically, professionally and personally enhance collegiate experiences. This creative project details the conceptualization and establishment of this international education student run-organization. The activity reports outline the process of working closely with the Arizona State University Study Abroad Office, creating a constitution, forming pillars and organization purpose, establishing meeting structure and how to apply and receive funding. This documentation additionally includes the club constitution, the club pillars and the establishment of the executive board positions: President, Secretary, Events Coordinator, Marketing Specialist, Cultural Engagement Chair and Finance Officer. To ensure the longevity of this organization, online documentation, via Google Drive, is available to all executive board members. This creative project additionally outlines how to recruit members, the best practices for outreach, such as email communication, and the events that Global Devils tabled at to outreach to a targeted audience. Via SunDevilSync, all members have access to the club's purpose, receive updates regarding Global Devils meetings, access to documents and executive board contact information. Lastly, throughout the process, ideas for improvement were documented.
ContributorsMalkoon, Denise Patricia (Author) / Infurna, Frank (Thesis director) / McManus, Seth (Committee member) / School of International Letters and Cultures (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
In the aftermath of the 2008 financial crisis, banking regulators have been taking a more active role in pursing greater financial stability. One area of focus has been on Wall Street banks' leverage lending practices which include leveraged lending activities to fund leveraged buyouts. In March 2013, the Federal Reserve and the Office of the Comptroller of the Currency issued guidance urging banks to avoid financing leveraged buyouts in most industries that would put total debt on a company of more than six times its earnings before interest, taxes, depreciation and amortization, or Ebitda. Our research, using data on all leveraged buyouts (with EBITDA >$20 million) issued after the guidance, sets out to explain the elements banks consider when exceeding leverage limitations. Initially, we hypothesized that since deals over 6x leverage had higher amounts of debt, they were riskier deals, which would carry over to other risk measures such as yield to maturity on debt and company credit ratings. To analyze this, we obtained a large data set with all LBO deals in the past three years and ran difference-in-means tests on a number of variables such as deal size, credit rating and yield to maturity to determine if deals over 6x leverage had significantly different risk characteristics than deals under 6x leverage. Contrary to our hypothesis, we found that deals over 6x leverage had significantly less risk, mainly demonstrated by lower average YTMs, than deals under 6x. One possible explanation of this might be that banks, wanting to ensure they are not fined, will only go through with a deal over 6x leverage if other risk metrics such as yield to maturity are well below average.
ContributorsKing, Adam (Co-author) / Lukemire, Sean (Co-author) / McAleer, Stephen (Co-author) / Simonson, Mark (Thesis director) / Bonadurer, Werner (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
For our collaborative thesis we explored the US electric utility market and how the Internet of Things technology movement could capture a possible advancement of the current existing grid. Our objective of this project was to successfully understand the market trends in the utility space and identify where a semiconductor manufacturing company, with a focus on IoT technology, could penetrate the market using their products. The methodology used for our research was to conduct industry interviews to formulate common trends in the utility and industrial hardware manufacturer industries. From there, we composed various strategies that The Company should explore. These strategies were backed up using qualitative reasoning and forecasted discounted cash flow and net present value analysis. We confirmed that The Company should use specific silicon microprocessors and microcontrollers that pertained to each of the four devices analytics demand. Along with a silicon strategy, our group believes that there is a strong argument for a data analytics software package by forming strategic partnerships in this space.
ContributorsLlazani, Loris (Co-author) / Ruland, Matthew (Co-author) / Medl, Jordan (Co-author) / Crowe, David (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Department of Economics (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Hugh Downs School of Human Communication (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