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- Creators: Computer Science and Engineering Program
Procedural content generation refers to the creation of data algorithmically using controlled randomness. These algorithms can be used to generate complex environments and geological formations as opposed to manually creating environments, using photogrammetry, or other means. Geological formations and the surrounding terrain can be created using noise based algorithms such as Perlin noise. However, interpreting noise in this manner has a number of challenges due to the pseudo-random nature of noise. We will discuss how to generate noise, how to render noise, and the challenges in interpreting noise.
Adderall remains to be one of the most commonly abused drug among college campuses. Although it is a prescription drug that is primarily used to treat attention deficit hyperactivity disorder (ADHD), it has become one of the many "study drugs" due to its usage among college students during stressful school times, such as exams, where increased concentration and energy levels are thought to improve work efficiency. However, Adderall is notable for having a high potential for abuse and a risk of psychological and physical side effects. In this paper, we conducted a mathematical analysis on an existing epidemiological model of Adderall abuse. We started by verifying the positivity of solutions using techniques from dynamical systems because this is a population model dealing with people. Then, we found and investigated different equilibrium solutions to analyze their stability using both analytical and graphical approaches. Finally, the results were tied back into the Adderall model and conclusions were drawn.
As much as SARS-CoV-2 has altered the way humans live since the beginning of 2020,<br/>this virus's deadly nature has required clinical testing to meet 2020's demands of higher<br/>throughput, higher accuracy and higher efficiency. Information technology has allowed<br/>institutions, like Arizona State University (ASU), to make strategic and operational changes to<br/>combat the SARS-CoV-2 pandemic. At ASU, information technology was one of the six facets<br/>identified in the ongoing review of the ASU Biodesign Clinical Testing Laboratory (ABCTL)<br/>among business, communications, management/training, law, and clinical analysis. The first<br/>chapter of this manuscript covers the background of clinical laboratory automation and details<br/>the automated laboratory workflow to perform ABCTL’s COVID-19 diagnostic testing. The<br/>second chapter discusses the usability and efficiency of key information technology systems of<br/>the ABCTL. The third chapter explains the role of quality control and data management within<br/>ABCTL’s use of information technology. The fourth chapter highlights the importance of data<br/>modeling and 10 best practices when responding to future public health emergencies.
The ongoing Global Coronavirus Pandemic has been upheaving social norms for over a<br/>year at this point. For countless people, our lives look very different at this point in time<br/>then they did before the pandemic began. Quarantine, Shelter in Place, Work from<br/>Home, and Online classes have led global populations to become less active leading to<br/>an increase in sedentary lifestyles. The final impact of this consequence is unknown,<br/>but emerging studies have led to concrete evidence of decreased physical and mental<br/>wellbeing, particularly in children. VirusFreeSports was the brainchild of three ASU<br/>Honors students who sought to remedy these devastating consequences by creating<br/>environments where children can participate in sports and exercise safely, free of the<br/>threat COVID-19 or other transmissible illnesses. The ultimate goal for the project team<br/>was to build traction for their idea, which culminated in a video pitch sent to potential<br/>investors. Although largely created as an exercise and we did not create a full<br/>certification course, merely a prototype through a website with sample questions to<br/>gauge interest, the project was a success as a large target market for this product was<br/>identified that showed great promise. Our team believes that early entrance to the<br/>market, as well as the lack of any other competitors would give the team a tremendous<br/>advantage in creating an impactful and influential service.
In late 2019, COVID-19, a new disease caused by a novel (or new) coronavirus began to take over the lives of many people. This study centers on how members of the Latinx community have been affected by COVID-19. Both quantitative and qualitative data were utilized to analyze the perceived risk of infection, preventative behaviors, and acceptability of the COVID-19 vaccine for individuals that identify as Latinx. Analysis of the survey and interview analysis found the majority of participants expressed abiding by recommended measures and becoming hypervigilant about their activities, and their desire to get vaccinated against COVID-19 when they are eligible. Individuals who did not express the desire to be vaccinated mentioned worries including side effects, costs, safety, and efficacy of the vaccine. Results from this research could aid in the creation of public health initiatives in order to increase the uptake of the vaccine tailored for the Latinx community.
The role of technology in shaping modern society has become increasingly important in the context of current democratic politics, especially when examined through the lens of social media. Twitter is a prominent social media platform used as a political medium, contributing to political movements such as #OccupyWallStreet, #MeToo, and #BlackLivesMatter. Using the #BlackLivesMatter movement as an illustrative case to establish patterns in Twitter usage, this thesis aims to answer the question “to what extent is Twitter an accurate representation of “real life” in terms of performative activism and user engagement?” The discussion of Twitter is contextualized by research on Twitter’s use in politics, both as a mobilizing force and potential to divide and mislead. Using intervals of time between 2014 – 2020, Twitter data containing #BlackLivesMatter is collected and analyzed. The discussion of findings centers around the role of performative activism in social mobilization on twitter. The analysis shows patterns in the data that indicates performative activism can skew the real picture of civic engagement, which can impact the way in which public opinion affects future public policy and mobilization.
The rampant occurrence of spam telephone calls shows a clear weakness of authentication and security in our telephone systems. The onset of cheap and effective voice over Internet Protocol (VoIP) technology is a major factor in this as our existing telephone ecosystem is virtually defenseless by many features of this technology. Our telephone systems have also suffered tremendously from a lack of a proper Caller ID verification system. Phone call spammers are able to mask their identities with relative ease by quickly editing their Caller ID. It will take a combination of unique innovations in implementing new authentication mechanisms in the telephone ecosystem, novel government regulation, and understanding how the people behind the spam phone calls themselves operate.<br/><br/>This study dives into the robocall ecosystem to find more about the humans behind spam telephone calls and the economic models they use. Understanding how the people behind robocalls work within their environments will allow for more insight into how the ecosystem works. The study looks at the human component of robocalls: what ways they benefit from conducting spam phone calls, patterns in how they identify which phone number to call, and how these people interact with each other within the telephone spam ecosystem. This information will be pivotal to educate consumers on how they should mitigate spam as well as for creating defensive systems. In this qualitative study, we have conducted numerous interviews with call center employees, have had participants fill out surveys, and garnered data through our CallFire integrated voice broadcast system. While the research is still ongoing, initial conclusions in my pilot study interview data point to promising transparency in how the voices behind these calls operate on both a small and large scale.
Obesity rates among adults have steadily grown in recent decades all the way up to<br/>42.4% in 2018. This is a 12% increase from the turn of the century (Center for Disease Control<br/>and Prevention, 2021). A major reason for this rise is increased consumption of processed,<br/>high-calorie foods. People eat these foods at a young age and develop bad eating habits that can<br/>last for the rest of their lives. It is essential to intervene early and help adolescents form<br/>balanced, healthy eating habits before bad habits are already formed. Our solution to this<br/>problem is Green Gamers. Green Gamers combines adolescent’s passion for gaming with<br/>healthy eating via in-game rewards for healthy eating. People will be able to purchase healthy<br/>food items, such as a bag of carrots, and on the packaging there will be a QR code. They will<br/>then be able to scan the code on our website, and earn points which will unlock in-game items<br/>and other rewards. Video game rewards act as effective motivators for you people to eat more<br/>healthy foods. After the solution was formulated, a preliminary survey was conducted to<br/>confirm that video game related rewards would inspire children to eat more healthy foods.<br/>Based on those results, we are currently in the process of running a secondary market research<br/>campaign to learn if gift card rewards are a stronger motivator. Our end goal for Green Gamers<br/>would be to partner with large gaming studios and food producers. This would allow us access to<br/>many gaming franchises, so that rewards are available from a wide variety of games: making the<br/>platform appealing to a diverse audience of gamers. Similarly, a relationship with large food<br/>producers would give us the ability to place QR codes on a greater assortment of healthy food<br/>items. Although no relationships with large companies have been forged yet, we plan to utilize<br/>funding to test our concept on small focus groups in schools