Matching Items (42)

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Forecasting the 85281 Residential Rental Property

Description

The listing price of residential rental real estate is dependent upon property specific attributes. These attributes involve data that can be tabulated as categorical and continuous predictors. The forecasting model

The listing price of residential rental real estate is dependent upon property specific attributes. These attributes involve data that can be tabulated as categorical and continuous predictors. The forecasting model presented in this paper is developed using publicly available, property specific information sourced from the Zillow and Trulia online real estate databases. The following fifteen predictors were tracked for forty-eight rental listings in the 85281 area code: housing type, square footage, number of baths, number of bedrooms, distance to Arizona State University’s Tempe Campus, crime level of the neighborhood, median age range of the neighborhood population, percentage of the neighborhood population that is married, median year of construction of the neighborhood, percentage of the population commuting longer than thirty minutes, percentage of neighborhood homes occupied by renters, percentage of the population commuting by transit, and the number of restaurants, grocery stores, and nightlife within a one mile radius of the property. Through regression analysis, the significant predictors of the listing price of a rental property in the 85281 area code were discerned. These predictors were used to form a forecasting model. This forecasting model explains 75.5% of the variation in listing prices of residential rental real estate in the 85281 area code.

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  • 2019-05

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Habit Tracking: Is It Making You "Healthier?"

Description

This study aims to explore the prevalence of smartphone, smartwatch, and fitness tracker ownership among college students, and compare the popularity of each device in tracking health-related habits such as

This study aims to explore the prevalence of smartphone, smartwatch, and fitness tracker ownership among college students, and compare the popularity of each device in tracking health-related habits such as physical activity, eating, and sleep. In addition, this study aims to analyze the effectiveness of each device for achieving personal health goals in all three categories. Research for this study was conducted using an Institutional Review Board (IRB) approved survey that was distributed electronically to various Greek and student organizations around Arizona State University campuses. In total, 183 responses were considered, with participants ranging from ages 18 to 23. Participants were required to own or possess a smartphone to be eligible to complete the survey. After seven days of data collection, the results were then analyzed using Qualtrics. The results revealed that smartwatch and fitness tracker ownership is not prevalent within the Arizona State University demographic. In addition, after comparing device popularity across each habit-tracking category, it is apparent that the smartphone is the most used device for tracking. Finally, when looking at device effectiveness in relation to achieving health goals, smartwatches consistently scored higher than smartphones. Supplemental research should be conducted to further explore the prevalence and effectiveness of habit tracking. This research should include a larger sample size and a more evenly spread gender demographic.

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  • 2019-05

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Elements of Cost Overruns, Delays, and Risks Involved in Project Management as Applied to Walt Disney Parks & Resorts Construction Projects

Description

Project management is the crucial component for managing and mitigating the inherent risks associated with changes in technology and innovation. The procedures to track the schedule, budget, and scope of

Project management is the crucial component for managing and mitigating the inherent risks associated with changes in technology and innovation. The procedures to track the schedule, budget, and scope of various projects in the standard worlds of engineering, manufacturing, construction, etc., are essential elements to the success of the project. Cost overruns, schedule changes, and other natural risks must be managed effectively. But what happens when a project manager is tasked with delivering an attraction that needs to withstand harsh weather conditions, and millions of people enjoying it every year, for a company with arguably the highest standards for quality and guest satisfaction? This would describe the project managers at Walt Disney Imagineering (WDI) and the projects they oversee have tight budgets, aggressive schedules and require a bit more pixie dust than other engineering projects. However, the universal truth is that no matter the size or the scope of the endeavor, project management processes are absolutely essential to ensuring that every team member can effectively collaborate to deliver the best product.

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Date Created
  • 2018-12

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Disability Access and Resource Transportation Scheduler

Description

At Arizona State University, the Disability Resource Center provides disabled students transportation around campus. This transportation service known as DART is composed of approximately 20 student workers and 9 carts

At Arizona State University, the Disability Resource Center provides disabled students transportation around campus. This transportation service known as DART is composed of approximately 20 student workers and 9 carts that pick riders up based on pre-determined pick-up times and locations. With the current system, the scheduling of drivers to riders is inefficient, and in response, a tool was developed to schedule the rides in a faster manner. A demonstration of the new tool resulted in a time reduction of 98%.

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Date Created
  • 2018-12

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The Use of Simulation in a Foundry Setting

Description

Woodland/Alloy Casting, Inc. is an aluminum foundry known for providing high-quality molds to their customers in industries such as aviation, electrical, defense, and nuclear power. However, as the company has

Woodland/Alloy Casting, Inc. is an aluminum foundry known for providing high-quality molds to their customers in industries such as aviation, electrical, defense, and nuclear power. However, as the company has grown larger during the past three years, they have begun to struggle with the on-time delivery of their orders. Woodland prides itself on their high-grade process that includes core processing, the molding process, cleaning process, and heat-treat process. To create each mold, it has to flow through each part of the system flawlessly. Throughout this process, significant bottlenecks occur that limit the number of molds leaving the system. To combat this issue, this project uses a simulation of the foundry to test how best to schedule their work to optimize the use of their resources. Simulation can be an effective tool when testing for improvements in systems where making changes to the physical system is too expensive. ARENA is a simulation tool that allows for manipulation of resources and process while also allowing both random and selected schedules to be run through the foundry’s production process. By using an ARENA simulation to test different scheduling techniques, the risk of missing production runs is minimized during the experimental period so that many different options can be tested to see how they will affect the production line. In this project, several feasible scheduling techniques are compared in simulation to determine which schedules allow for the highest number of molds to be completed.

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Date Created
  • 2019-05

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Elution Profile of Caspofungin from Anti-fungal Loaded Bone Cement

Description

Advancements in healthcare and the emergence of an aging population has led to an increase in the number of prosthetic joint procedures in the United States. According to Healthcare Cost

Advancements in healthcare and the emergence of an aging population has led to an increase in the number of prosthetic joint procedures in the United States. According to Healthcare Cost and Utilization Project, 660,876 and 348,970 total hip and knee arthroplasties were performed in 2014[1].The percentage of total hip or knee procedures that are revised due to an infection is 1.23% and 1.21% respectively[3], [4]. Although the percent of infections may be small, an infection can have a tremendous burden on the patient and healthcare system. It is expected that prosthetic joint infections (PJIs) will cost the healthcare system an estimated $1.62 billion by 2020[5]. PJIs are often difficult to treat due to the formation of biofilm at the site of the infection. A large majority of PJIs are the result of a bacterial biofilm, but around 1% of PJIs are due to fungal infections[3]. The current method of treatment is to surgically remove all infected tissue at the site of infection through a process called debridement and then insert a medicated bone cement spacer[7], [10]–[12]. One such medication that is loaded into the bone cement is caspofungin, a member of the echinocandin class of compounds that inhibit the synthesis of 1,3-β-D-glucan which is a crucial element of the cell wall of the target fungi[13]–[15]. For the studies reported herein, the caspofungin-loaded bone cement samples were made at 5 dosage strengths according to standard operating room practices. The elution of the drug was analyzed using ultraviolet spectrophotometry. The elution profiles were analyzed for 19 days consecutively, during which the 70 mg, 1 g, and 5 g dosage groups showed a prolonged, sustained release of the caspofungin. The 70 mg and 1 g dosage cumulative mass release profiles were not statistically significant, but it is unlikely that the difference would not have a clinical significance especially in the treatment of a fungal biofilm infection. The determination of the elution profile for caspofungin from loaded-bone cement can provide clinicians with a basis for how the drug will release into the infected joint.

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  • 2019-05

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AI in Radiology: How the Adoption of an Accountability Framework can Impact Technology Integration in the Expert-Decision-Making Job Space

Description

Rapid advancements in Artificial Intelligence (AI), Machine Learning, and Deep Learning technologies are widening the playing field for automated decision assistants in healthcare. The field of radiology offers a unique

Rapid advancements in Artificial Intelligence (AI), Machine Learning, and Deep Learning technologies are widening the playing field for automated decision assistants in healthcare. The field of radiology offers a unique platform for this technology due to its repetitive work structure, ability to leverage large data sets, and high position for clinical and social impact. Several technologies in cancer screening, such as Computer Aided Detection (CAD), have broken the barrier of research into reality through successful outcomes with patient data (Morton, Whaley, Brandt, & Amrami, 2006; Patel et al, 2018). Technologies, such as the IBM Medical Sieve, are growing excitement with the potential for increased impact through the addition of medical record information ("Medical Sieve Radiology Grand Challenge", 2018). As the capabilities of automation increase and become a part of expert-decision-making jobs, however, the careful consideration of its integration into human systems is often overlooked. This paper aims to identify how healthcare professionals and system engineers implementing and interacting with automated decision-making aids in Radiology should take bureaucratic, legal, professional, and political accountability concerns into consideration. This Accountability Framework is modeled after Romzek and Dubnick’s (1987) public administration framework and expanded on through an analysis of literature on accountability definitions and examples in military, healthcare, and research sectors. A cohesive understanding of this framework and the human concerns it raises helps drive the questions that, if fully addressed, create the potential for a successful integration and adoption of AI in radiology and ultimately the care environment.

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Date Created
  • 2019-05

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Exploring the Factors of Food Waste

Description

This project evaluates the success that a Food Waste assignment had on reducing food waste by exploring factors that suggest waste minimization. Previous ASB 370/394: Ethics of Eating students were

This project evaluates the success that a Food Waste assignment had on reducing food waste by exploring factors that suggest waste minimization. Previous ASB 370/394: Ethics of Eating students were surveyed regarding their thoughts on their current food waste behavior and what food waste strategies they implemented to reduce their waste. The success of the assignment was determined using SPSS statistical software. Respondents reported that foods that they waste the most were vegetables, fruits, and bread and most respondents indicated that they threw away 1-2 cups of food per week, typically only when they clean out their fridge and/or pantry. Participants revealed the main reasons for their food waste were “I buy too much,” followed by “do not have time to prepare the food I buy,” and “my produce didn’t look appealing anymore.” Based on the results from the survey, over 60% of respondents indicated that they had changed their food waste behavior to produce less waste. The Food Waste Assignment was deemed a success in encouraging students to limit their food waste due to the majority of students indicating they change their behavior after completing the assignment. The three main tactics students implemented to reduce their food waste were: “eating more leftovers,” “proper food storage,” and, “meal planning.” While the Food Waste Assignment was successful, ways to improve the assignment were still identified. To help students address their food waste behavior, reading or videos on ways to prevent food waste or suggestions for students to improve their food waste could be provided.

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  • 2019-05

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The Application of Generative Design in Product Development

Description

The premise of this thesis developed from my personal interests and undergraduate educational experiences in both industrial engineering and design studies, particularly those related to product design. My education has

The premise of this thesis developed from my personal interests and undergraduate educational experiences in both industrial engineering and design studies, particularly those related to product design. My education has stressed the differences in the ways that engineers and designers approach problem solving and creating solutions, but I am most interested in marrying the two mindsets of designers and engineers to better solve problems creatively and efficiently.
This thesis focuses on the recent appearance of generative design technology into the world of industrial design and engineering as it relates to product development. An introduction to generative design discusses the uses and benefits of this tool for both designers and engineers and also addresses the challenges of this technology. The relevance of generative design to the world of product development is discussed as well as the implications of how this technology will change the roles of designers and engineers, and especially their traditional design processes. The remainder of this paper is divided into two elements. The first serves as documentation of my own exploration of using generative design software to solve a product design challenge and my reflections on the benefits and challenges of using this tool. The second element addresses the need for employing quantitiative methodologies within the generative design process to aid designers in selecting the most advantageous design option when presented with generative outcomes. Both sections aim to provide more context to this new design process and seek to answer questions about some of the ambiguous processes of generative design.

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  • 2019-05

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Using Simulation to Make Cross-Training Decisions that Reduce Long Waiting Times in Public Healthcare Systems

Description

Research indicates that over 7.7% of adults who seek medical care every year at a hospital report a delay in receiving care, having difficulty receiving care, or being unable to

Research indicates that over 7.7% of adults who seek medical care every year at a hospital report a delay in receiving care, having difficulty receiving care, or being unable to receive care due to long waiting times (Kennedy et al. 2004). This continue to stir the need for researchers to explore ways to extend healthcare services in minimal waiting times. This thesis research utilizes Arena, a discrete event simulation software, to analyze waiting times in a typical hospital setting. It goes on to explore the impact of cross training of hospital personnel in meeting the critical needs of patients while minimizing waiting times. Simulation output data were analyzed, and cross training was found to have significant impact on reducing waiting time when: intake of patients is higher than current (original) arrival rate, intake of appointment patients is highest, or intake of emergency patience is highest of the three patient categories.

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  • 2019-05