In the United States, the word "earthquake" is extensively used. This natural disaster has a year-round impact on numerous states across the country. Earthquakes are simply more than a natural calamity; they also have a negative psychological impact. Earthquake safety measures are essential for ensuring citizens' safety. This paper proposes, a technique for evaluating earthquake safety activities and instructing individuals in selecting appropriate precautions. Earthquake protection using Reach.love plus Amazon Alexa is special in that it uses cutting-edge virtual reality technology. The platform developed by Reach.love takes earthquake prevention to a new and innovative direction. The feeling of presence in a VR headset linked within Reach.love, allows the user to feel that an earthquake is occurring right now. Additionally, each location includes audio instructions that explain what to do in specific scenarios. The user can practice and mentally train to respond appropriately when a real earthquake happens, comparable to a 3D drill. Finally, the user will be able to utilize Amazon Alexa for help within the rooms in Reach.love to improve the experience of earthquake safety training. For example, if the user speaks to Alexa during the simulation and says, "Alexa, turn off the audio instructions," Alexa will do so, and the user will no longer hear them. Alexa would be the user's personal assistant during the training of earthquake protection.

The goal of Dough is to create financial content that educates college students and young adults in areas of financial literacy. College students and young adults generally have debt from student loans, and typically don’t have much time to work as they focus on school and earn their degree. Financial literacy can make the lives of young adults much easier, however this is typically not a resource that is easily available to them. Our proposed solution to fight the lack of financial literacy is to create educational content including videos, articles, and a website that educates students and young adults on how to acquire good financial habits.

The goal of Dough is to create financial content that educates college students and young adults in areas of financial literacy. College students and young adults generally have debt from student loans, and typically don't have much time to work as they focus on school and earn their degree. Financial literacy can make the lives of young adults much easier, however this is typiclly not a resource that is easily available to them. Our proposed solution to fight the lack of finacial literacy is to create educational content including videos, articles, and a website that educates students and young adults on how to acquire good financial habits.

Spatial audio can be especially useful for directing human attention. However, delivering spatial audio through speakers, rather than headphones that deliver audio directly to the ears, produces the issue of crosstalk, where sounds from each of the two speakers reach the opposite ear, inhibiting the spatialized effect. A research team at Meteor Studio has developed an algorithm called Xblock that solves this issue using a crosstalk cancellation technique. This thesis project expands upon the existing Xblock IoT system by providing a way to test the accuracy of the directionality of sounds generated with spatial audio. More specifically, the objective is to determine whether the usage of Xblock with smart speakers can provide generalized audio localization, which refers to the ability to detect a general direction of where a sound might be coming from. This project also expands upon the existing Xblock technique to integrate voice commands, where users can verbalize the name of a lost item using the phrase, “Find [item]”, and the IoT system will use spatial audio to guide them to it.

Spatial audio can be especially useful for directing human attention. However, delivering spatial audio through speakers, rather than headphones that deliver audio directly to the ears, produces the issue of crosstalk, where sounds from each of the two speakers reach the opposite ear, inhibiting the spatialized effect. A research team at Meteor Studio has developed an algorithm called Xblock that solves this issue using a crosstalk cancellation technique. This thesis project expands upon the existing Xblock IoT system by providing a way to test the accuracy of the directionality of sounds generated with spatial audio. More specifically, the objective is to determine whether the usage of Xblock with smart speakers can provide generalized audio localization, which refers to the ability to detect a general direction of where a sound might be coming from. This project also expands upon the existing Xblock technique to integrate voice commands, where users can verbalize the name of a lost item using the phrase, “Find [item]”, and the IoT system will use spatial audio to guide them to it.

This honors thesis for Barrett, the Honors College at Arizona State University provides an analysis of a leveraged buyout (LBO) of Foot Locker. This thesis serves to demonstrate how a fictional private equity firm would acquire a company through an LBO. The project provides insight onto what private equity firms do, the background of Foot Locker, and an industry analysis on the sector that Foot Locker operates in. The thesis looks to provide a deeper understanding of the fair value of Foot Locker using a discounted cash flow (DCF) analysis, comparable company analysis, and precedent transaction analysis. Included is a pitchbook, the DCF model, and LBO model.