This thesis was conducted to study and analyze the fund allocation process adopted by different states in the United States to reduce the impact of the Covid-19 virus. Seven different states and their funding methodologies were compared against the case count within the state. The study also focused on development of a physical distancing index based on three significant attributes. This index was then compared to the expenditure and case counts to support decision making.
A regression model was developed to analyze and compare how different states case counts played out against the regression model and the risk index.

The ASU COVID-19 testing lab process was developed to operate as the primary testing site for all ASU staff, students, and specified external individuals. Tests are collected at various collection sites, including a walk-in site at the SDFC and various drive-up sites on campus; analysis is conducted on ASU campus and results are distributed virtually to all patients via the Health Services patient portal. The following is a literature review on past implementations of various process improvement techniques and how they can be applied to the ABCTL testing process to achieve laboratory goals. (abstract)

The U.S. Navy and other amphibious military organizations utilize a derivation of the traditional side stroke called the Combat Side Stroke, or CSS, and tout it as the most efficient technique available. Citing its low aerobic requirements and slow yet powerful movements as superior to the traditionally-best front crawl (freestyle), the CSS is the go-to stroke for any operation in the water. The purpose of this thesis is to apply principles of Industrial Engineering to a real-world situation not typically approached from a perspective of optimization. I will analyze pre-existing data about various swim strokes in order to compare them in terms of efficiency for different variables. These variables include calories burned, speed, and strokes per unit distance, as well as their interactions. Calories will be measured by heart rate monitors, converting BPM to calories burned. Speed will be measured by stopwatch and observer. Strokes per unit distance will be measured by observer. The strokes to be analyzed include the breast stroke, crawl stroke, butterfly, and combat side stroke. The goal is to informally test the U.S. Navy's claim that the combat side stroke is the optimum stroke to conserve energy while covering distance. Because of limitations in the scope of the project, analysis will be done using data collected from literary sources rather than through experimentation. This thesis will include a design of experiment to test the findings here in practical study. The main method of analysis will be linear programming, followed by hypothesis testing, culminating in a design of experiment for future progress on this topic.

The definition of "beauty" can be interpreted in many ways but when defining it literally, it is considered as such: "a combination of qualities that pleases the intellect or moral sense" (Oxford Dictionaries). Beauty simply "pleases" the intellect; it does not say that intellect is a factor of beauty itself. Beauty is nice to look at, a mere pleasure to experience in the "moral sense." It does not have anything to do with one's actions, principles or intelligence, but instead the way one presents himself or herself. If someone is deemed as intellectual, does that mean they are not viewed as beautiful? Is that why beauty is rarely associated with brains and vice versa? Has a history of stereotypes and media interference convinced us that these two concepts cannot coexist? And what if we found out that they did? Could we take that person seriously? I decided to challenge the idea of beauty and brains, and see if beauty is in fact measured by its literal definition and controlled by its assumed stereotype, or if other factors apply when deciphering someone's "beauty." First, I will analyze the perceptions and stereotypes of engineers. By looking at the public opinion of both engineers and women engineers, I can show the common struggles engineers face. Next I will look at perceptions of cheerleaders, in particular, professional cheerleaders. Through analyzing current stereotypes and gender roles associated with these women in the spotlight, I can establish how opinions of these women are formed. I will also look at a survey of a sample of Arizona State University students in which we can confirm or deny the results found through research of previous studies. We will also be able to gather personal opinions about why these stereotypes exist and how to break them down. Finally, we will look at personal accounts of current or retired National Football League (NFL) cheerleaders. These will give first-hand examples of what it is like to be both a cheerleader and a woman in STEM (science, technology, engineering, and mathematics).

In an increasingly global economy, companies face challenges with implementing successful business and marketing strategies in cultures different from their own. This paper calls upon previous research to compile a per-country outline of general behaviors and expectations when doing business overseas. Using categorical definitions from Hofstede's 1984 study and those found in the Handbook of Global and Multicultural Negotiation, a table has been prepared to group similar countries based on their cultural biases.

Perfection is extremely difficult to achieve when playing team sports. This is especially true for lacrosse, a sport where dropped passes, missed shots and turnovers are prevalent even at the college and professional levels of the game. In order to improve on mistakes, teams must first recognize where the errors are being made. The purpose of this project is to implement the DMAIC process improvement method into lacrosse, with the goal of identifying and implementing improvements, leading to a more successful team.
In order to use DMAIC, lacrosse was expressed as a process that included five phases: offense, defense, riding, clearing and faceoffs. Data was gathered for each phase using game film from the Arizona State Men’s Club Lacrosse Team over the course of the 2019 and 2020 seasons. The data was then analyzed by comparing the output statistics of each phase to the goal differential, number of goals scored, and number of goals against. Once the areas of improvement were determined, additional analysis was done to determine why these certain areas needed improvement. The results provided what changes needed to be made in order to improve the team. In order to ensure the team sustained their success, control measures were put in place to determine what action needs to be taken and when.

The primary purpose of this paper is to evaluate the energy impacts of faults in building heating, ventilation, and air conditioning systems and determine which systems’ faults have the highest effect on the energy consumption. With the knowledge obtained through the results described in this paper, building engineers and technicians will be more able to implement a data-driven solution to building fault detection and diagnostics

In the United States alone, commercial buildings consume 18% of the country’s energy. Due to this high percentage of energy consumption, many efforts are being made to make buildings more energy efficient. Heating, ventilation, and air conditioning (HVAC) systems are made to provide acceptable air quality and thermal comfort to building occupants. In large buildings, a demand-controlled HVAC system is used to save energy by dynamically adjusting the ventilation of the building. These systems rely on a multitude of sensors, actuators, dampers, and valves in order to keep the building ventilation efficient. Using a fault analysis framework developed by the University of Alabama and the National Renewable Energy Laboratory, building fault modes were simulated in the EnergyPlus whole building energy simulation program. The model and framework are based on the Department of Energy’s Commercial Prototype Building – Medium Office variant. A total of 3,002 simulations were performed in the Atlanta climate zone, with 129 fault cases and 41 fault types. These simulations serve two purposes: to validate the previously developed fault simulation framework, and to analyze how each fault mode affects the building over the simulation period.

The results demonstrate the effects of faults on HVAC systems, and validate the scalability of the framework. The most critical fault cases for the Medium Office building are those that affect the water systems of the building, as they cause the most harm to overall energy costs and occupant comfort.

Accessible STEAM (Science, Technology, Engineering, Art, and Mathematics) education is imperative in creating the future innovators of the world. This business proposal is for a K-8 STEAM Museum to be built in the Novus Innovation Corridor on Arizona State University (ASU)’s Tempe campus. The museum will host dynamic spaces that are constantly growing and evolving as exhibits are built by interdisciplinary capstone student groups- creating an internal capstone project pipeline. The intention of the museum is to create an interactive environment that fosters curiosity and creativity while acting as supplemental learning material to Arizona K-8 curriculum. The space intends to serve the greater Phoenix area community and will cater to underrepresented audiences through the development of accessible education rooted in equality and inclusivity.

Technology has managed to seamlessly grow into every industry fathomable without much resistance. This could be due to the fact that the majority of industries that have integrated technology have lacked insurmountable barriers which could hold back strategic innovations. Even with a wide array of industries applying technology to their framework, some haven’t managed to reach the true capability of technological advances. One industry that has both taken wide advantage of technology while also barely scraping the surface of the depth behind its potential has been politics. Electronic voting booths, targeted online marketing campaigns, and live streamed debates have been integral parts of our modern-day political environment, however, approval rating-based forecasting for elections has been an area that isn’t commonly referenced by both large political players.

In an age of information where data can be extracted just about anywhere and interpolated using extensive statistical processing, the fact that systems modeling isn’t a pillar of campaign efforts seems ludicrous. A field that is heavily dependent on pivoting concern based on lack of support would make sense to heavily depend on a modeling system that can accurately predict future points of interest.
This report aims to lay the foundation that can be built upon through providing pitfalls in potential modeling, importance of a modeling system, and a barebones skeleton model in AnyLogic with a scheme of how the model would work. I hope this report can serve political interests by providing context on which modeling can accurately provide insight.

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.