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- Creators: Mechanical and Aerospace Engineering Program
- Creators: Department of Finance
- Creators: Department of Physics
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Resource Type: Text
Description
News outlets frequently portray people with disabilities as either helpless victims or objects of motivation. Portrayal of people with disabilities has improved over the years, but there is still room to grow. News outlets tend to make disability the center of the story. A story about a disabled person is primarily about their disability, with their other accomplishments framed by it.
As one example of the victimhood narrative, ABC News used to run a special called My Extreme Affliction as part of 20/20 until 2012. As the name implies, the specials covered people with disabilities, specifically extreme versions. One 2008 episode on Tourette’s syndrome described Tourette’s like it was some sort of demonic possession. The narrator talked about children who were “prisoners in their own bodies” and a family that was at risk of being “torn apart by Tourette’s.” I have Tourette’s syndrome myself, which made ABC’s special especially uncomfortable to watch. When not wringing their metaphorical hands over the “victims” of disability, many news outlets fall into the “supercrip” narrative. They refer to people as “heroes” who “overcome” their disabilities to achieve something that ranges from impressive to utterly mundane. The main emphasis is on the disability rather than the person who has it. These articles then exploit that disability to make readers feel good. As a person with a disability, I am aware that it impacts my life, but it is not the center of my life. The tics from my Tourette’s syndrome made it difficult to speak to people when I was younger, but even then they did not rule me.
Disability coverage, however, is still incredibly important for promoting acceptance and giving people with disabilities a voice. A little over a fifth of adults in the United States have a disability (CDC: 53 million adults in the US live with a disability), so poor coverage means marginalizing or even excluding a large amount of people. Journalists should try to reach their entire audience. The news helps shape public opinion with the stories it features. Therefore, it should provide visibility for people with disabilities in order to increase acceptance. This is a matter of civil rights. People with disabilities deserve fair and accurate representation.
My personal experience with ABC’s Tourette’s special leads me to believe that the media, especially the news, needs to be more responsible in their reporting. Even the name “My Extreme Affliction” paints a poor picture of what to expect. A show that focuses on sensationalist portrayals in pursuit of views further ostracizes people with disabilities. The emphasis should be on a person and not their condition. The National Center for Disability Journalism tells reporters to “Focus on the person you are interviewing, not the disability” (Tips for interviewing people with disabilities). This people-first approach is the way to improve disability coverage: Treat people with disabilities with the same respect as any other minority group.
As one example of the victimhood narrative, ABC News used to run a special called My Extreme Affliction as part of 20/20 until 2012. As the name implies, the specials covered people with disabilities, specifically extreme versions. One 2008 episode on Tourette’s syndrome described Tourette’s like it was some sort of demonic possession. The narrator talked about children who were “prisoners in their own bodies” and a family that was at risk of being “torn apart by Tourette’s.” I have Tourette’s syndrome myself, which made ABC’s special especially uncomfortable to watch. When not wringing their metaphorical hands over the “victims” of disability, many news outlets fall into the “supercrip” narrative. They refer to people as “heroes” who “overcome” their disabilities to achieve something that ranges from impressive to utterly mundane. The main emphasis is on the disability rather than the person who has it. These articles then exploit that disability to make readers feel good. As a person with a disability, I am aware that it impacts my life, but it is not the center of my life. The tics from my Tourette’s syndrome made it difficult to speak to people when I was younger, but even then they did not rule me.
Disability coverage, however, is still incredibly important for promoting acceptance and giving people with disabilities a voice. A little over a fifth of adults in the United States have a disability (CDC: 53 million adults in the US live with a disability), so poor coverage means marginalizing or even excluding a large amount of people. Journalists should try to reach their entire audience. The news helps shape public opinion with the stories it features. Therefore, it should provide visibility for people with disabilities in order to increase acceptance. This is a matter of civil rights. People with disabilities deserve fair and accurate representation.
My personal experience with ABC’s Tourette’s special leads me to believe that the media, especially the news, needs to be more responsible in their reporting. Even the name “My Extreme Affliction” paints a poor picture of what to expect. A show that focuses on sensationalist portrayals in pursuit of views further ostracizes people with disabilities. The emphasis should be on a person and not their condition. The National Center for Disability Journalism tells reporters to “Focus on the person you are interviewing, not the disability” (Tips for interviewing people with disabilities). This people-first approach is the way to improve disability coverage: Treat people with disabilities with the same respect as any other minority group.
ContributorsMackrell, Marguerite (Author) / Gilger, Kristin (Thesis director) / Doig, Steve (Committee member) / Walter Cronkite School of Journalism & Mass Comm (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Autonomous vehicles (AV) are capable of producing massive amounts of real time and precise data. This data has the ability to present new business possibilities across a vast amount of markets. These possibilities range from simple applications to unprecedented use cases. With this in mind, the three main objectives we sought to accomplish in our thesis were to: Understand if there is monetization potential in autonomous vehicle data Create a financial model of what detailing the viability of AV data monetization Discover how a particular company (Company X) can take advantage of this opportunity, and outline how that company might access this autonomous vehicle data. First, in order to brainstorm how this data could be monetized, we generated potential use cases, defined probable customers of these use cases, and how the data could generate value to customers as a means to understand what the "price" of autonomous vehicle data might be. While we came up with an extensive list of potential data monetization use cases, we evaluated our list of use cases against six criteria to narrow our focus into the following five: Government, Insurance Companies, Mapping, Marketing purposes, and Freight. Based on our research, we decided to move forward with the insurance industry as a proof of concept for autonomous vehicle data monetization. Based on our modeling, we concluded there is a significant market for autonomous vehicle data monetization moving forward. Data accessibility is a key driver in how profitable a particular company and their competitors can be in this space. In order to effectively monetize this data, it would first be important to understand the method by which a company obtains access to the data in the first place. Ultimately, based on our analysis, Company X has positioned itself well to take advantage of the new trends in autonomous vehicle technology. With more strategic investments and innovation, Company X can be a key benefactor of this unprecedented space in the near future.
ContributorsShapiro, Brandon (Co-author) / Quintana, Alex (Co-author) / Sigrist, Austin (Co-author) / Clark, Rachael (Co-author) / Carlton, Corrine (Co-author) / Simonson, Mark (Thesis director) / Reber, Kevin (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The purpose of this research is to study the effect of angle of acceptance and mechanical control system noise on the power available to a two-axis solar concentrating photovoltaic (CPV) system. The efficiency of a solar CPV system is greatly dependent on the accuracy of the tracking system because a strong focal point is needed to concentrate incident solar irradiation on the small, high efficiency cells. The objective of this study was to evaluate and quantify tracking accuracy for a performance model which would apply to similar two-axis systems. An analysis comparing CPV to traditional solar photovoltaics from an economic standpoint was conducted as well to evaluate the viability of emerging CPV technology. The research was performed using two calibrated solar radiation sensors mounted on the plane of the tracking system, normal to the sun. One sensor is held at a constant, normal angle (0 degrees) and the other is varied by a known interior angle in the range of 0 degrees to 10 degrees. This was to study the magnitude of the decrease in in irradiance as the angle deviation increases. The results show that, as the interior angle increases, the solar irradiance and thus available power available on the focal point will decrease roughly at a parabolic rate, with a sharp cutoff point at angles greater than 5 degrees. These findings have a significant impact on CPV system tracking mechanisms, which require high precision tracking in order to perform as intended.
ContributorsPodzemny, Dominic James (Author) / Reddy, Agami (Thesis director) / Kelman, Jonathan (Committee member) / Mechanical and Aerospace Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The traditional early design phase of an aircraft involves a design approach in which the model's characteristics are defined before the CAD model is built. This thesis discusses an alternative to the early design process employing the use of a parametric model. A parametric model is one in which its characteristics are defined as functions of input parameters that a user will choose, as opposed to being pre-defined. This allows for faster iterations of the CAD design of an aircraft going through its first design phases. In order to demonstrate the feasibility and efficiency, a tool was developed in the form of a script written in Python that compiles into a plugin that a user can install into Rhino. With a full template of about 70 parameters that have significant effects on the performance characteristics of an aircraft, a user with the plugin can generate a full model. The overall design phase and development of the script into a publicly available installation file is discussed below. Results for the thesis took the form of insight gained into the field of parametric modeling. After development and implementation, emphasis points such as generation time, focus on parameters with large effect on aircraft performance, and interpolation of parameters dependent upon others were concluded.
ContributorsElliott, Steven Joseph (Author) / Takahashi, Tim (Thesis director) / Middleton, James (Committee member) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
The goal of this thesis was to provide in depth research into the semiconductor wet-etch market and create a supplier analysis tool that would allow Company X to identify the best supplier partnerships. Several models were used to analyze the wet etch market including Porter's Five Forces and SWOT analyses. These models were used to rate suppliers based on financial indicators, management history, market share, research and developments spend, and investment diversity. This research allowed for the removal of one of the four companies in question due to a discovered conflict of interest. Once the initial research was complete a dynamic excel model was created that would allow Company X to continually compare costs and factors of the supplier's products. Many cost factors were analyzed such as initial capital investment, power and chemical usage, warranty costs, and spares parts usage. Other factors that required comparison across suppliers included wafer throughput, number of layers the tool could process, the number of chambers the tool has, and the amount of space the tool requires. The demand needed for the tool was estimated by Company X in order to determine how each supplier's tool set would handle the required usage. The final feature that was added to the model was the ability to run a sensitivity analysis on each tool set. This allows Company X to quickly and accurately forecast how certain changes to costs or tool capacities would affect total cost of ownership. This could be heavily utilized during Company X's negotiations with suppliers. The initial research as well the model lead to the final recommendation of Supplier A as they had the most cost effective tool given the required demand. However, this recommendation is subject to change as demand fluctuates or if changes can be made during negotiations.
ContributorsSchmitt, Connor (Co-author) / Rickets, Dawson (Co-author) / Castiglione, Maia (Co-author) / Witten, Forrest (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Optometry is an important field in medicine as it allows people a chance to have their vision corrected and it serves as a health screening opportunity for those who receive a dilated eye examination. One of the largest barriers to receiving a dilated eye exam is insurance coverage. Most health insurance policies have limited optometric coverage. By expanding health insurance plans to be more inclusive of optometric care, people who use these health insurance plans will have a better access of care.
ContributorsFurey, Colleen (Author) / Ruth, Alissa (Thesis director) / Mullen, Tyler (Committee member) / School of Life Sciences (Contributor) / Department of Physics (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
The research presented in this Honors Thesis provides development in machine learning models which predict future states of a system with unknown dynamics, based on observations of the system. Two case studies are presented for (1) a non-conservative pendulum and (2) a differential game dictating a two-car uncontrolled intersection scenario. In the paper we investigate how learning architectures can be manipulated for problem specific geometry. The result of this research provides that these problem specific models are valuable for accurate learning and predicting the dynamics of physics systems.<br/><br/>In order to properly model the physics of a real pendulum, modifications were made to a prior architecture which was sufficient in modeling an ideal pendulum. The necessary modifications to the previous network [13] were problem specific and not transferrable to all other non-conservative physics scenarios. The modified architecture successfully models real pendulum dynamics. This case study provides a basis for future research in augmenting the symplectic gradient of a Hamiltonian energy function to provide a generalized, non-conservative physics model.<br/><br/>A problem specific architecture was also utilized to create an accurate model for the two-car intersection case. The Costate Network proved to be an improvement from the previously used Value Network [17]. Note that this comparison is applied lightly due to slight implementation differences. The development of the Costate Network provides a basis for using characteristics to decompose functions and create a simplified learning problem.<br/><br/>This paper is successful in creating new opportunities to develop physics models, in which the sample cases should be used as a guide for modeling other real and pseudo physics. Although the focused models in this paper are not generalizable, it is important to note that these cases provide direction for future research.
ContributorsMerry, Tanner (Author) / Ren, Yi (Thesis director) / Zhang, Wenlong (Committee member) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Valuing Offerpad: iBuying business model looks poised to disrupt the traditional real estate process
Description
This paper acts as an initiation of coverage report for Offerpad, a technology-based real estate platform headquartered in Chandler, Arizona. The report reviews industry dynamics, analyzes Offerpad's competitive positioning, and uses financial valuation techniques to arrive at a buy recommendation for the company.
ContributorsNance, Jacob (Author) / Simonson, Mark (Thesis director) / Licon, Wendell (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Finance (Contributor)
Created2023-05
Description
The goal of this thesis project was to build an understanding of supersonic projectile dynamics through the creation of a trajectory model that incorporates several different aerodynamic concepts and builds a criteria for the stability of a projectile. This was done iteratively where the model was built from a foundation of kinematics with various aerodynamic principles being added incrementally. The primary aerodynamic principle that influenced the trajectory of the projectile was in the coefficient of drag. The drag coefficient was split into three primary components: the form drag, skin friction drag, and base pressure drag. These together made up the core of the model, additional complexity served to increase the accuracy of the model and generalize to different projectile profiles.
ContributorsBlair, Martin (Co-author) / Armenta, Francisco (Co-author) / Takahashi, Timothy (Thesis director) / Herrmann, Marcus (Committee member) / Mechanical and Aerospace Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The ASU Compact X-ray Free Electron Laser (CXFEL) is a first of its kind instrument that will illuminate the processes of life and allow scientists to create more effective treatments for disease. The dimensions of the linear accelerator (LINAC) cavities must remain stable during operation, for a change in the geometry alters the standing wave microwave energy resonance within the cavities and leads to reflected rather than coupled and useful microwave energy to electric field coupling. This disturbs the electron bunch acceleration dynamics critical to the ultimate generation of x-ray pulses. Cooling water must be supplied to the electron generating RF-GUN, and linear accelerator (LINAC) structures at unique flowrate and temperature setpoints that are specific to the operating mode of the CXFEL. Design specifications for the water supply to the RF-GUN and three LINACs and were made for the nominal operating mode, which adds a 3 kW heat load to the water. To maintain steady cavity dimensions, water must be supplied to each device under test at 30.0 ºC ± 0.06 ºC. The flowrate of water must be 3.5 GPM to the RF-GUN and 2.5 GPM to each of the three LINACs with ± 0.01 GPM flowrate resolution. The primary function of the Dedicated-Precision Thermal Trim Unit (D-PTTU) is to control the flowrate and temperature of water supply to each device under test. A simplified model of the system was developed to select valves that would meet our design specifications for flowrate and temperature control. After using this model for valve selection, a detailed system model was created to simulate relevant coupled-domain physics of the integrated system. The detailed system model was used to determine the critical sensitivities of the system and will be used to optimize the performance of the system in the future. Before the detailed system model can be verified and tuned with experiments, the sensors were calibrated in an ice-bath to ensure the sensors measure accurate and precise values. During initial testing, the D-PTTU was able to achieve ± 0.02 ºC temperature resolution, which exceeds the design specification by a factor of three.
ContributorsGardeck, Alex John (Author) / Holl, Mark (Thesis director) / Smith, Dean (Committee member) / Department of Physics (Contributor) / Mechanical and Aerospace Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05