Matching Items (12)
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- All Subjects: Health
- Creators: College of Liberal Arts and Sciences
Description
Civil society, when taken as a whole, is a complex phenomenon that incorporates several movements and can be accompanied with international support. For instance in 1987, 40 NGOs (non-governmental organizations) were registered by the government, and within 25 years, the number has increased to 300,000 in the present day Russian Federation. These numbers only include registered organizations, and do not count unregistered organizations, as approved under article 3 "Public organizations...can function without state registration and acquiring of the rights of registered legal body," or organizations that have been refused registration, such as the "Marriage Equality Russia" NGO that was denied registration in 2010. Thus the total amount of NGOs is significantly higher than 300,000. Every one of these NGOs "contribute to Russia‘s economic, political and social life in numerous ways and provide opportunities for citizens to help create better communities and elevate their voices" ("USAID in Russia"). With hundreds of thousands of organizations attempting to make a better society, they are creating a Russian civil society, one that could use the experience of countries with already well-established civil societies (Walzer). Walzer, however, notes the importance for civil society of political engagement with the state (317). In this thesis, I argue that the LGBT movement in Russia today has set an important example for other groups in civil society through its willingness to take on the Russian state through demonstrations and to use the state through the EU Court of Human Rights in Strasbourg.
ContributorsMark, Daniel (Author) / Hoogenboom, Hilde (Thesis director) / Hagen, V. Mark (Committee member) / Siroky, David (Committee member) / Barrett, The Honors College (Contributor) / College of Liberal Arts and Sciences (Contributor)
Created2012-12
Description
Glioblastoma multiforme (GBMs) is the most prevalent brain tumor type and causes approximately 40% of all non-metastic primary tumors in adult patients [1]. GBMs are malignant, grade-4 brain tumors, the most aggressive classication as established by the World Health Organization and are marked by their low survival rate; the median survival time is only twelve months from initial diagnosis: Patients who live more than three years are considered long-term survivors [2]. GBMs are highly invasive and their diffusive growth pattern makes it impossible to remove the tumors by surgery alone [3]. The purpose of this paper is to use individual patient data to parameterize a model of GBMs that allows for data on tumor growth and development to be captured on a clinically relevant time scale. Such an endeavor is the rst step to a clinically applicable predictions of GBMs. Previous research has yielded models that adequately represent the development of GBMs, but they have not attempted to follow specic patient cases through the entire tumor process. Using the model utilized by Kostelich et al. [4], I will attempt to redress this deciency. In doing so, I will improve upon a family of models that can be used to approximate the time of development and/or structure evolution in GBMs. The eventual goal is to incorporate Magnetic Resonance Imaging (MRI) data into a parameterized model of GBMs in such a way that it can be used clinically to predict tumor growth and behavior. Furthermore, I hope to come to a denitive conclusion as to the accuracy of the Koteslich et al. model throughout the development of GBMs tumors.
ContributorsManning, Miles (Author) / Kostelich, Eric (Thesis director) / Kuang, Yang (Committee member) / Preul, Mark (Committee member) / Barrett, The Honors College (Contributor) / College of Liberal Arts and Sciences (Contributor)
Created2012-12