Brundtland’s definition of sustainability is the ability to “meet the needs of the present without compromising the ability of future generations to meet their needs” (IISD, 2021). But what if there are no future generations? Social sustainability, the sector of sustainability that foregrounds the well-being and livelihoods of people (and thereby continuation of humanity), is included in definitions within the sustainability field, but less developed in sustainability practice. In an effort to bridge this gap of knowledge, 14 U.S. cities and over 100 sustainability policies were analyzed for their social sustainability performance. An eight-item analytical framework that deals with differing areas of social equity guided the analysis. Results found that most cities’ sustainability departments fell short of truly addressing social sustainability concerns. Out of the eight items, the most frequently addressed were housing security and racial and gender equality whereas few, if any, cities addressed the more specific social concerns of immigration, technology and media, or arts/cultural preservation. Future research is recommended to gain a better understanding of the ways existing cities can improve in this area.

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.

This paper conducts an exploration of the election policy reaction to the COVID-19 pandemic within the United States. While living through and voting during the real-time events which took place during the COVID-19 Pandemic of 2020, it soon became evident that there was not enough experience from earlier election emergencies to properly ensure against voter disenfranchisement. Given the scope of the global pandemic and the speed with which policymakers had to act, there was very little time to properly prepare. There was also great contention regarding the legitimacy of election methods proposed to alleviate in-person election concerns, such as mail-in voting. The political battle between those who believed COVID-19 to be a grave concern against those who did not consider COVID-19 to be a legitimate threat towards their livelihoods also affected policymaking decisions. Policymakers were forced into a corner, as they experienced criticism for not enough government action, as well as disapproval on the actual regulation that came to pass. This paper therefore aims to understand what factors led to the decisions which shaped the election policy which occurred as a reaction to the COVID-19 pandemic during the election year of 2020. This analysis is conducted by considering the following: prior election emergency policy; the development of reactive election policy in March, proactive policy established for the August and November elections; and a review of voter disenfranchisement which occurred due to COVID-19.

Green Pages is a sustainability-focused magazine publication created by our team in response to the need for increased post-secondary awareness and interest in the ethical circular economy. The magazine, designed and written by Dale Helvoigt, Caroline Yu, and Anne Snyder is available digitally and free of charge so that students and non-students alike have access to information and resources regarding sustainability. Each article is thoroughly researched with references provided so our readers seek to continue their education into our content. The end goal of Green Pages is to foster interest in all individuals, especially young people, on the current environmental climate and the sustainable practices that can be adopted into one's lifestyle in pursuit of a "greener" future.