642 research outputs found

    North Korea’s Nuclear Program and Negotiation: How Nuclear Negotiation during the Clinton Years Produced Lessons for Current International Relations

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    North Korea’s road of survival began in the aftermath of World War II, when the United States and the Soviet Union sparred over rival ideologies. Ultimately, Korea split into a free south and an authoritarian north. Over seventy years later, North Korea remains a bastion of communism. Nuclear weaponry is a factor behind North Korea’s survival, and the history of their program can offer insight for American policy makers today. This paper offers a history of North Korea’s nuclear weapons program during the Clinton presidency, along with recommendations for present day policy makers. Without an understanding of history decision-makers tend to make mistakes and act rashly. It is imperative America understands its diplomatic issues with North Korea, and provide diplomatic, strategic, and military solutions for future negotiations

    Tattoos in the Workplace

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    Test the hypothesis that there is a stigma attached to individuals with tattoos in the workplace

    Coastal Cities: How Efficacious are Climate Change Policies in Urban Settings? Examining New York City:

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    Senior Project submitted to The Division of Social Studies of Bard College

    Bayesian Population Genomic Inference of Crossing Over and Gene Conversion

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    Meiotic recombination is a fundamental cellular mechanism in sexually reproducing organisms and its different forms, crossing over and gene conversion both play an important role in shaping genetic variation in populations. Here, we describe a coalescent-based full-likelihood Markov chain Monte Carlo (MCMC) method for jointly estimating the crossing-over, gene-conversion, and mean tract length parameters from population genomic data under a Bayesian framework. Although computationally more expensive than methods that use approximate likelihoods, the relative efficiency of our method is expected to be optimal in theory. Furthermore, it is also possible to obtain a posterior sample of genealogies for the data using this method. We first check the performance of the new method on simulated data and verify its correctness. We also extend the method for inference under models with variable gene-conversion and crossing-over rates and demonstrate its ability to identify recombination hotspots. Then, we apply the method to two empirical data sets that were sequenced in the telomeric regions of the X chromosome of Drosophila melanogaster. Our results indicate that gene conversion occurs more frequently than crossing over in the su-w and su-s gene sequences while the local rates of crossing over as inferred by our program are not low. The mean tract lengths for gene-conversion events are estimated to be ∼70 bp and 430 bp, respectively, for these data sets. Finally, we discuss ideas and optimizations for reducing the execution time of our algorithm
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