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- Creators: School of Politics and Global Studies
Women’s roles in society have changed significantly throughout the years. The movement to support the rights of women has been ongoing throughout the evolution of society but has been especially prevalent in the last century. The 1960s are when women began to enter the workforce instead of being limited to presuming roles as homemakers. Since that point in time, women have continued to thrive in the workforce and have pursued a larger variety of positions in various fields. Even though the opportunities for women continue to grow, there still seems to be an underrepresentation of women in science, technology, engineering, and mathematics (STEM) related fields. The underrepresentation of women pursuing physician and entrepreneurship roles in STEM will be analyzed and the challenges this group of people specifically encounter will be examined. Our first proposal to encourage women to enter STEM focuses on middle-school initiatives and incubator programs. The second proposal, based on commonalities females face within the workforce, is finding a better work/home life balance with the development of new maternity/paternity leave policies. Through these initiatives, we believe that the gender gap in STEM can be bridged.
Artificial Intelligence is quickly growing to be an influential part of our daily lives. Due to this, we believe it is important to analyze how cultural perceptions can influence how we interact and develop technology. We decided to focus on India due to its large economic stature, cultural influence, and influence on the technology industry.
With the passage of the Affordable Care Act, the health system in the United States is now being further challenged. There is bipartisan debate on how it can be reconstructed: one party states that the government plays too big of a role, while the other believes it plays too little. Regardless, Americans want change. Reconstruction is not a new topic by any means, and other countries have been forced to do so due to political violence. This paper explores the history and current healthcare organizations of Japan, Iraq, and Afghanistan. These countries have all encountered major political turmoil, which has led to the rebuilding of their respective healthcare systems. Though the United States is not facing political violence that will necessitate reorganization, the examination of nations that have been forced to do so offers lessons applicable to the healthcare system in the US.
One of the largest problems facing modern medicine is drug resistance. Many classes of drugs can be rendered ineffective if their target is able to acquire beneficial mutations. While this is an excellent showcase of the power of evolution, it necessitates the development of increasingly stronger drugs to combat resistant pathogens. Not only is this strategy costly and time consuming, it is also unsustainable. To contend with this problem, many multi-drug treatment strategies are being explored. Previous studies have shown that resistance to some drug combinations is not possible, for example, resistance to a common antifungal drug, fluconazole, seems impossible in the presence of radicicol. We believe that in order to understand the viability of multi-drug strategies in combating drug resistance, we must understand the full spectrum of resistance mutations that an organism can develop, not just the most common ones. It is possible that rare mutations exist that are resistant to both drugs. Knowing the frequency of such mutations is important for making predictions about how problematic they will be when multi-drug strategies are used to treat human disease. This experiment aims to expand on previous research on the evolution of drug resistance in S. cerevisiae by using molecular barcodes to track ~100,000 evolving lineages simultaneously. The barcoded cells were evolved with serial transfers for seven weeks (200 generations) in three concentrations of the antifungal Fluconazole, three concentrations of the Hsp90 inhibitor Radicicol, and in four combinations of Fluconazole and Radicicol. Sequencing data was used to track barcode frequencies over the course of the evolution, allowing us to observe resistant lineages as they rise and quantify differences in resistance evolution across the different conditions. We were able to successfully observe over 100,000 replicates simultaneously, revealing many adaptive lineages in all conditions. Our results also show clear differences across drug concentrations and combinations, with the highest drug concentrations exhibiting distinct behaviors.