Barrett, The Honors College Thesis/Creative Project Collection

Pilot suicide has been a topic that has seen increased discussion in the past decade, Aviation regulating bodies have introduced antidepressant programs to aid in reducing the harm depression and other mental illnesses cause pilots. These programs are varied in their structure however they all revolve around SSRI medications. The FAA HIMS SSRI program for American pilots issues a pathway that is long in duration and can place undue stress on pilots that choose to participate. This has led to high rates of under-reporting and non-treatment of mental illnesses in pilots.

Intellectual property (IP) is the lifeblood of the U.S. economy. Despite being an important motivator for innovation, IP laws and IP protections are largely unknown by most individuals outside of the legal field. The purpose of this work is to condense some of the most fundamental concepts in U.S. intellectual property law and describe them in an understandable way for non-lawyers. This thesis covers basic information on U.S. patents, copyrights, trademarks, trade secrets, and the ways in which they impact both science and society. Additionally, this thesis discusses the need for better IP education and presents a solution to this problem in the form of a partly completed draft for an educational book. The book itself is meant to illustrate how the research of this thesis can be utilized in introductory educational materials while also demonstrating the potential for presenting IP law concepts in a fun and visual way.

Intellectual property (IP) is the lifeblood of the U.S. economy. Despite being an important motivator for innovation, IP laws and IP protections are largely unknown by most individuals outside of the legal field. The purpose of this work is to condense some of the most fundamental concepts in U.S. intellectual property law and describe them in an understandable way for non-lawyers. This thesis covers basic information on U.S. patents, copyrights, trademarks, trade secrets, and the ways in which they impact both science and society. Additionally, this thesis discusses the need for better IP education and presents a solution to this problem in the form of a partly completed draft for an educational book. The book itself is meant to illustrate how the research of this thesis can be utilized in introductory educational materials while also demonstrating the potential for presenting IP law concepts in a fun and visual way.

Space exploration and science fiction have deep historical ties with science fiction literature. From the beginning of the space race, American science fiction stories influenced policy makers, scientists, and the public in their visions of space exploration. However, in the 21st century, the who, what, and why of space exploration are changing. Space exploration is no longer the endeavor of the world's superpowers. Countries from across the global south in Asia and Africa have created space programs and have constructed spacecraft to benefit their country and their international power. The emergence of new countries and the interconnectedness of the modern world has the potential to empower postcolonial countries' perspectives and interests. India is a prime example of a country impoverished by colonialism that has now become one of the world's largest economies and a primary stakeholder in future human space exploration. Moreover, India's rich literary heritage, especially in mythology and science fiction, has the potential to predict and to shape what India brings to the international table. This thesis aims to answer the question: How will/should Indian post-colonial science fiction affect the country’s advancement of human space exploration, without making the same mistakes as the west?

In this thesis, several different methods for detecting and removing satellite streaks from astronomic images were evaluated and compared with a new machine learning based approach. Simulated data was generated with a variety of conditions, and the performance of each method was evaluated both quantitatively, using Mean Absolute Error (MAE) against a ground truth detection mask and processing throughput of the method, as well as qualitatively, examining the situations in which each model performs well and poorly. Detection methods from existing systems Pyradon and ASTRiDE were implemented and tested. A machine learning (ML) image segmentation model was trained on simulated data and used to detect streaks in test data. The ML model performed favorably relative to the traditional methods tested, and demonstrated superior robustness in general. However, the model also exhibited some unpredictable behavior in certain scenarios which should be considered. This demonstrated that machine learning is a viable tool for the detection of satellite streaks in astronomic images, however special care must be taken to prevent and to minimize the effects of unpredictable behavior in such models.

This thesis explores the ethical implications of using facial recognition artificial intelligence (AI) technologies in medicine, with a focus on both the opportunities and challenges presented by the use of this technology in the diagnosis and treatment of rare genetic disorders. We highlight the positive outcomes of using AI in medicine, such as accuracy and efficiency in diagnosing rare genetic disorders, while also examining the ethical concerns including bias, misdiagnosis, the issues it may cause within patient-clinician relationships, misuses outside of medicine, and privacy. This paper draws on the opinions of medical providers and other professionals outside of medicine, which finds that while many are excited about the potential of AI to improve medicine, concerns remain about the ethical implications of these technologies. We discuss current legislation controlling the use of AI in healthcare and its ambiguity. Overall, this thesis highlights the need for further research and public discourse to address the ethical implications of using facial recognition and AI technologies in medicine, while also providing recommendations for its future use in medicine.