Abortion is one of the most polarizing moral issues in our society today. This issue divides the country into two separate groups: Pro-choice or Pro-life. Our thesis analyzes published reviewed articles, media articles, policy papers, and perspective, opinion, and commentary pieces to discuss the ethical implications of selective abortion, specifically sex-selective abortion and genetic-selective abortion. Our thesis provides an overview of selective abortion, explores women’s bodily autonomy in the U.S., addresses the complexities of both sex-selective and genetic-selective abortion, and finally evaluates the U.S.’s regulation of selective abortion. Through these topics, we were able to determine the implications selective abortion has on the disabled community and how selective abortion is being used to ban abortion overall in the U.S.

2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing fetal heart development but they warrant revalidation and adjustment. 377 normal fetuses with healthy mothers, 98 normal fetuses with diabetic mothers, and 37 fetuses with cardiomyopathy and diabetic mothers had their cardiac structural dimensions, cardiothoracic ratio, valve flow velocities, and heart rates measured by fetal ECHO in a retrospective chart review. Cardiac features were fitted to linear functions, with respect to gestational age, femur length, head circumference, and biparietal diameter and z-scores were created to model normal fetal growth for all parameters. These z-scores were used to assess what metrics had no difference in means between the normal fetuses of both healthy and diabetic mothers but differed from those diagnosed with cardiomyopathy. It was found that functional metrics like mitral and tricuspid E wave and pulmonary velocity could be important predictors for cardiomyopathy when fitted by gestational age, femur length, head circumference, and biparietal diameter. Additionally, aortic and tricuspid annulus diameters when fitted to estimated gestational age showed potential to be predictors for fetal cardiomyopathy. While the metrics overlapped over their full range, combining them together may have the potential for predicting cardiomyopathy in utero. Future directions of this study will explore creating a classifier model that can predict cardiomyopathy using the metrics assessed in this study.

2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing fetal heart development but they warrant revalidation and adjustment. 377 normal fetuses with healthy mothers, 98 normal fetuses with diabetic mothers, and 37 fetuses with cardiomyopathy and diabetic mothers had their cardiac structural dimensions, cardiothoracic ratio, valve flow velocities, and heart rates measured by fetal ECHO in a retrospective chart review. Cardiac features were fitted to linear functions, with respect to gestational age, femur length, head circumference, and biparietal diameter and z-scores were created to model normal fetal growth for all parameters. These z-scores were used to assess what metrics had no difference in means between the normal fetuses of both healthy and diabetic mothers, but differed from those diagnosed with cardiomyopathy. It was found that functional metrics like mitral and tricuspid E wave and pulmonary velocity could be important predictors for cardiomyopathy when fitted by gestational age, femur length, head circumference, and biparietal diameter. Additionally, aortic and tricuspid annulus diameters when fitted to estimated gestational age showed potential to be predictors for fetal cardiomyopathy. While the metrics overlapped over their full range, combining them together may have the potential for predicting cardiomyopathy in utero. Future directions of this study will explore creating a classifier model that can predict cardiomyopathy using the metrics assessed in this study.

Electronic dance music (EDM) is a broad genre of music that, after gaining popularity, quickly became stigmatized. This study aimed to examine stigma associations of electronic dance music with substance abuse, cult-like devotion, and the inauthenticity of EDM fans. Further, this study intended to examine the positive aspects of tolerance, inclusivity, and authenticity associated with the electronic dance community. An online survey composed of 12 questions was administered to 876 students. The survey data was then analyzed and compared to the information gathered through a literature review. The major findings suggest that, when compared to other genres, there is a level of accuracy to the association of electronic dance music events with substance abuse, but not cult-like devotion or inauthenticity. The findings also suggest that there is no less inclusivity nor authenticity experienced at electronic dance music events compared to other genres. Another major finding is that the negative associations of electronic dance music were shared more often by those who have never attended such events. However, the positive associations were shared more often by those who have attended such events. These findings suggest that experiencing an electronic dance music event for oneself is important to understand the true nature of such events, for they have been shown to engender positive social values such as tolerance, inclusivity, and authenticity.