Filtering by
- All Subjects: Economics
- Creators: Dean, W.P. Carey School of Business
- Status: Published
This thesis details the impact of sustainable practices, or lack thereof, among IKEA and Chanel. It takes these principles and analyzes the effectiveness of them and works to implement them across industries and companies of different sizes and organizational structures.
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.
One of the most pressing questions in economics is “why are some countries richer than others?” One methodology designed to help answer the question is known as “Development Accounting,” a framework that organizes the determinants of income into two categories: differences in inputs and differences in efficiency. The objective of our work is to study to what extent differences in the levels of pollution can help explain income differences across countries. To do this, we adjusted a factor-only model to allow us to enter PM2.5, a measure of pollution that tracks the concentration of fine particulate matter in the air and looked to see if the model’s predictive power improved. We ultimately find that we can improve the model’s success in predicting GDP by .5 - 6%. Thus, pollution is unlikely to be a major force in understanding cross-country income differences, but it can be used with other economic factors to potentially magnify its impact with other additions in the future.
This research explores the use of transformative urban scenarios and timelines as a planning tool for addressing future sustainability challenges in urban environments. The analysis comes from a set of scenarios that were explored through workshops conducted in 2019 in which Phoenix stakeholders developed timelines toward their visions of Phoenix 60 years into the future. To evaluate the pathways created in these timelines, we employed process tracing methodology to understand which causal mechanisms lead to certain phenomena. Or in other words, it helps us understand how changes happen. We converted the timelines into process tracing diagrams that categorized the relationship between actions, actors, and observable manifestations (OM’s) of change over time. To understand the relationship between these components, we then used a combination of inductive and deductive coding to categorize types of activities, actors, OM’s and sustainability topics and organized them into themes. This helped us to understand how city decision-makers and community leaders think sustainability and resilience transformation can and should occur. This thesis takes a closer look at one particular scenario, Some Like it Hot, which explores resilience to extreme heat. Through coding and analysis, we found trends, correlations, and missing pieces in the participants’ timeline. There are numerous overarching causal mechanisms throughout the scenario timeline. These trends offer insight into which activities and stakeholders are seen as significant drivers of sustainable transformation according to the workshop participants. The file attached is a pdf version of an ArcGIS Story Map completed for this honors thesis. To view the full, interactive thesis deliverable, visit https://storymaps.arcgis.com/stories/14d1e52a9448498e87f20e7566651a13
institutions mainly in the early 21st century. China has gone through enormous changes in the late 20th century and early 21st century, and financial policy reforms and adjustments have been at times instrumental to aiding that growth, and at other times have served as impediments to the country’s success. As China’s clout has grown both economically and politically in the wider world, it has become evermore important to understand the Chinese financial system, particularly as other authoritarian regimes may seek to emulate it in the perhaps recent future. The paper will examine the institutional elements of Chinese finance, including the broader structure of the party state apparatus and the role of legislative and executive authorities in determining financial policy. Next, the paper will go through both the legal-regulatory environment of the country and the structure of the preeminent Chinese banks. Finally, issues in Chinese monetary policy, particularly exchange rate system reforms, and the developing stock and bond markets will be addressed.
This paper will introduce UBI as a concept and a program to better understand its implementation around the world and the underlying theory of how to afford its sustained use. The paper examines several different implementation and funding mechanisms that are all focused on economic growth as the sole measure of success. It displays how UBI's program costs make it insufficient for further use under those metrics. This paper introduces the need to change the narrative to focus less on GDP-growth and more about the positive benefits of income distribution to raise the poverty line, decrease income inequality, and increase the overall well-being of each citizen in the United States.