Matching Items (415)
Description
The rapid growth of published research has increased the time and energy researchers invest in
literature review to stay updated in their field. While existing research tools assist with organizing papers, providing basic summaries, and improving search, there is a need for an assistant that copilots researchers to drive innovation. In response, we introduce buff, a research assistant framework employing large language models to summarize papers, identify research gaps and trends, and recommend future directions based on semantic analysis of the literature landscape, Wikipedia, and the broader internet. We demo buff through a user-friendly chat interface, powered by a citation network encompassing over 5600 research papers, amounting to over 133 million tokens of textual information. buff utilizes a network structure to fetch and analyze factual scientific information semantically. By streamlining the literature review and scientific knowledge discovery process, buff empowers researchers to concentrate their efforts on pushing the boundaries of their fields, driving innovation, and optimizing the scientific research landscape.
ContributorsBalamurugan, Neha (Author) / Arani, Punit (Co-author) / LiKamWa, Robert (Thesis director) / Bhattacharjee, Amrita (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / Economics Program in CLAS (Contributor)
Created2024-05
DescriptionThis project tracks the history of fiscal stimulus in the United States as it relates to defense and economic projects. This is done in order to place the Biden administration's fiscal agenda into a historical context of fiscal spending.
ContributorsMiller, Jordan (Author) / Calhoun, Craig (Thesis director) / Kirkpatrick, Jennet (Committee member) / Fong, Benjamin (Committee member) / Barrett, The Honors College (Contributor) / School of Politics and Global Studies (Contributor) / Economics Program in CLAS (Contributor)
Created2024-05
Description
The compelling question is “How can a sense of belonging be brought to the Math classroom?” This topic centers at the intersection of mathematics, history, and education. The mathematics field is overwhelmingly portrayed as antiquated, white, and male. There is a lack of history taught in the math classroom. As such, adding history that counters the perceptions of who belongs in mathematics will engage students who had not previously felt represented in the field. In addition, students who lack interest in mathematics may find themselves interested in the historical aspects, leading to more retention in the classroom. The main goals of this project are to create an addition to the mathematical curriculum that can be added as a starter to classroom discussions or a warm up before a lecture. The ideal form is a laminated flip book consisting of photos, descriptions, and fun facts about 52 mathematicians (one per week) from diverse time periods, countries, and backgrounds.
ContributorsNeff, Juniper (Author) / Klemaszewski, James (Thesis director) / Mohacsy, Hedvig (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Public Affairs (Contributor)
Created2024-05
Description
Whether we like it or not, we all have questions. What is being human? We use different responses for the same questions, using tools like religion, science, art and magic to make sense of our little existence. Everyone sees it. Everyone feels it. Everyone knows it. So, what is it?
In this podcast, I will review the major players and theories involved in five areas of philosophy: existentialism, ethics, epistemology, aesthetics and metaphysics. Through subsequent interviews with community connections, ASU professors and students, we will discuss and highlight how philosophical principles are present in all areas of life, as well as how knowledge of these principles can provide a more informed perspective on the world around us.
ContributorsDeignan, Josephine (Author) / Phillips, Ben (Thesis director) / Watson, Jeffrey (Committee member) / Barrett, The Honors College (Contributor) / School of Applied Professional Studies (Contributor) / School of Public Affairs (Contributor) / School of Politics and Global Studies (Contributor) / School of International Letters and Cultures (Contributor) / Historical, Philosophical & Religious Studies, Sch (Contributor)
Created2024-05
Description
For decades, society has held an innate fascination with serial murder and serial killers. The fascination lies in the motivations behind the actions and the way in which investigators apprehend them. The psychological field of investigative and behavioral psychology emerged to attempt to answer some of these questions and the investigative tool of behavioral profiling soon followed. Researchers have conducted comparison studies of male and female serial killers many times to understand what differentiates them. This research aims to answer another question: Are female serial killers more homogenous based on their profiles than male serial killers? The media portrays female serial killers in a very specific light, poisoners who kill due to revenge or money, but how well does this portrayal actually hold up when analytically examined? This research compiled case studies of fifteen male and fifteen female serial killers based on twenty-six characteristics and profiled each according to three different typologies to determine how homogenous these groups actually are. This research can help assist investigators and the public to better understand the diversity of these types of offenders and be able to determine who these offenders are.
ContributorsRotenberg, Taylor (Author) / Guyll, Max (Thesis director) / Madon, Stephanie (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / Department of Finance (Contributor) / Economics Program in CLAS (Contributor)
Created2024-05
Description
Milk has long played an important role in American society and remains a popular staple of many Americans’ diets. Yet, despite its long standing popularity, the role of milk within American society has begun to develop new meaning in recent years. This paper aims to understand the symbolism that today’s Americans ascribe to milk. Academic journal articles, advertising campaigns, online articles, and government policy pertaining to milk were researched in order to identify the themes that characterize consumers’ perceptions of milk. In recognition of the diverse types of milk that are now accessible to many Americans, this paper uses the word “milk” to refer to cow-derived, fluid (liquid) dairy unless otherwise specified. This research reveals eleven principal themes that describe consumers’ perceptions of milk: milk symbolizes health, American values, is associated with athleticism, is unhealthy, is not preferable to plant-based alternatives, is bad for the environment, is animal cruelty, represents white supremacy, is anti-feminist, is reflective of consumer lifestyles, and there is a general trend of consumers being uninformed about the milk that they consume. This research helps to understand consumers; therefore, this research can be used to help dairy-related industries shape their business strategies and target their customer segment and to help policymakers design effective dairy-related policies. Furthermore, this paper invites further research to identify the consumers that hold the beliefs this research describes, and the extent to which these consumers share said beliefs.
ContributorsHladik, Jessica (Author) / Hughner, Renee (Thesis director) / Voorhees, Matthew (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Economics Program in CLAS (Contributor) / Dean, W.P. Carey School of Business (Contributor) / School of International Letters and Cultures (Contributor)
Created2024-05
Description
This study presents a comparative analysis of machine learning models on their ability to determine match outcomes in the English Premier League (EPL), focusing on optimizing prediction accuracy. The research leverages a variety of models, including logistic regression, decision trees, random forests, gradient boosting machines, support vector machines, k-nearest neighbors, and extreme gradient boosting, to predict the outcomes of soccer matches in the EPL. Utilizing a comprehensive dataset from Kaggle, the study uses the Sport Result Prediction CRISP-DM framework for data preparation and model evaluation, comparing the accuracy, precision, recall, F1-score, ROC-AUC score, and confusion matrices of each model used in the study. The findings reveal that ensemble methods, notably Random Forest and Extreme Gradient Boosting, outperform other models in accuracy, highlighting their potential in sports analytics. This research contributes to the field of sports analytics by demonstrating the effectiveness of machine learning in sports outcome prediction, while also identifying the challenges and complexities inherent in predicting the outcomes of EPL matches. This research not only highlights the significance of ensemble learning techniques in handling sports data complexities but also opens avenues for future exploration into advanced machine learning and deep learning approaches for enhancing predictive accuracy in sports analytics.
ContributorsTashildar, Ninad (Author) / Osburn, Steven (Thesis director) / Simari, Gerardo (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05
Description
With the acknowledgement of Type 2 Diabetes as a disease that disproportionately affects the Latinx communities, this study is designed to look at the relationship between health literacy and diabetes awareness. This research was conducted using data from Dr. Felipe Castro's previous study on Latino Lifestyles for Diabetes Prevention. Multiple linear regressions were ran to find the correlation between certain measures and diabetes awareness. Major findings included seeing the positive relationship between education and diabetes awareness and the negative correlation between Behavior Intentions Self Monitoring and diabetes awareness. Further studies are required to see how different social factors impact an individual's ability to gain health literacy regarding Type 2 Diabetes.
ContributorsHuerta, Isabel (Author) / Castro, Felipe (Thesis director) / Lopez, Gilberto (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution & Social Change (Contributor) / School of Public Affairs (Contributor) / School of Life Sciences (Contributor)
Created2024-05
Description
The 19th century marked a period of transformative global change where various movements sought to shape society in radical ways. One such movement was eugenics, which fostered perceptions of disability that led to the widespread acceptance of involuntary and coerced sterilizations of disabled females in the United States. In the 20th century, politicians employed eugenics to its end, demonstrating the greatest horrors it could hold. This thesis will investigate the rationale behind sterilizations, the evolution of societal attitudes towards disability, and the contemporary role of guardianships in medical decision-making processes through the theoretical lenses of critical disability studies, the models of disability, and the moral principles of bioethics – justice, autonomy, and nonmaleficence. Findings indicate that individuals with disabilities may need additional support in the medical decision-making process, and while historically guardianships have been used to achieve this, they should be a last resort if the individual has the competence necessary to partake in collaborative decision-making with the support of a third-party, particularly in instances that involve the irreversible procedure of sterilization.
ContributorsLemke, Ava (Author) / Mara, Miriam (Thesis director) / Schuster, Nanette (Committee member) / Barrett, The Honors College (Contributor) / School of Public Affairs (Contributor) / School of Politics and Global Studies (Contributor) / School of Humanities, Arts, and Cultural Studies (Contributor)
Created2024-05
Description
In recent years, diversity and inclusion has become the focus of every company and business in the world due to the rising societal pressure of avoiding being “canceled”. In America, the unfortunate truth is that healthcare is a business, and it is not exempt from feeling these societal pressures, and although strides are being made in a positive direction, racism is a systemic issue that spans far beyond a change in company culture. Being that skin tone is a pertinent element of racism, one can see how the study of skin, known as dermatology, can easily be influenced by racial discrimination. Throughout this thesis paper, I want to discuss not only the racial disparities in healthcare, but I want to also explore how these disparities impact the patient and provider alike.
ContributorsShamsid-Deen, Reeasah (Author) / Barca, Lisa (Thesis director) / Medcalf, Rollin (Committee member) / Barrett, The Honors College (Contributor) / College of Health Solutions (Contributor) / School of Public Affairs (Contributor)
Created2024-05