337 research outputs found

    Groundswell

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    Student Literary Magazine Publicatio

    Analytic cliffordian functions

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    In classical function theory, a function is holomorphic if and only if it is complex analytic. For higher dimensional spaces it is natural to work in the context of Clifford algebras. The structures of these algebras depend on the parity of the dimension n of the underlying vector space. The theory of holomorphic Cliffordian functions reflects this dependence. In the case of odd n the space of functions is defined by an operator (the Cauchy-Riemann equation) but not in the case of even nn. For all dimensions the powers of identity (z^n, x^n) are the foundation of function theory

    Deadlock-free routing in a faulty hypercube

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    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.Includes bibliographical references (p. 41-42).by Eric Lehman.M.S

    Homegrown Terror: Benedict Arnold and the Burning of New London

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    Benedict Arnold was a man who could have been a “founding father” of America, but instead became a national villain. His brutal attack on Connecticut epitomizes this transformation: the moment where an abstract idea of betrayal completes its evolution to the slaughter and destruction of his neighbors and their homes. Focusing on this significant but unfortunately forgotten incident addresses some of the major challenges of any discussion about this complex and confusing American figure. It also directly links Arnold’s story with the stories of his friends and colleagues, something that has never been done before. The combination of these two approaches puts the focus on Arnold’s effects rather than his motives, and on the victims rather than the attacker. Moreover, it reframes his “treason” as “homegrown terror,” a term that resonates with modern readers and whose definition echoes the 18th century word “parricide,” used by many contemporaries to describe Arnold’s actions

    Voice of the Moment: Henry Miller’s Paris Notebooks and the Problem of Autobiographical Fiction

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    In 2010 Yale's Beinecke Rare Book and Manuscript Library acquired Henry Miller's three "Paris Notebooks," which have been in private hands and read by only a few scholars over the past ninety years. They are a working writer's hodge-podge of undated diary entries, descriptions of places and people, lists, letters, rough drafts, and unpublished pieces. After close examination of the manuscripts, I assessed that these pages offer important insights, and I am writing a critical biography to expose their impact. The notebooks shed particular light on Miller's process, which seems far less "inspired" or "prophetic" and much more "workmanlike" than previously imagined. The first published result of this process, Tropic of Cancer, inspired generations of authors to write loosely autobiographical fiction, but also created a new problem when discussing these works. Many critics and even biographers conflate Henry Miller the person with the narrator or character of "Henry" in Tropic of Cancer and his other books. This is not a problem confined to scholarship on one author. Our literary culture continues to misunderstand poets and novelists who write in voices we imagine to be their own, whose "characters" speaking in On the Road or "Lady Lazarus" seem to be the same person as Jack Kerouac or Sylvia Plath, when in fact each is a persona, a voice of the moment

    Yours Truly: The Practice of Writing Letters

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    Is letter-writing dead? Has the internet killed it? In “Yours Truly,” Eric D. Lehman finds that while the style may be changing, the form of correspondence known as a letter is alive and well. Just as a conversation is more than delivering news, expressing your thoughts to a reader fully and completely, whether on paper or on an electronic screen, transcends the mere message in both its intention and effect. And even though the resulting letters are personal documents usually intended for one reader, they can be considered literature just as readily as an autobiography or personal essay

    Technological change, economic growth, and income inequality : MSA evidence from the 1990s.

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    Employing a two-stage least-squares multiple regression technique using cross-sectional data from metropolitan statistical areas (MSAs) as the unit of analysis, this study is designed to detect the indirect effect of skill-biased technological change (SBTC) on household income inequality through changes in the rate of per capita economic growth over the decade of the 1990s. If recent technological changes are skill-biased and tend to raise inequality, as much previous research has suggested, and if such technological changes are a relatively large determinant of economic growth, then we should be able to observe a positive association between technology-driven economic growth and income inequality, all else constant. However, the data and method employed here could not establish support for this hypothesis. Instead, the measures of technological change employed in this study are found to raise per capita economic growth, but economic growth is found to decrease, not increase, household income inequality. In a related vein, this research study seeks to test the theory of an extended or reformulated Kuznets Curve Hypothesis in which economic growth and income inequality might be positively correlated due to structural changes in advanced post-industrial economies. This reformulated Kuznets Curve Hypothesis is linked to the theory that growth and inequality might both be related to SBTC resulting from structural shifts away from a mature industrial economy and toward the emerging information and knowledge economy of the 1990s and beyond. This theory, too, must be rejected based upon the findings presented here. Instead, economic growth is found to be negatively correlated with changes in household income inequality in metropolitan areas over the 1990s, confirming the original Kuznets Hypothesis that rising economic growth compresses the income distribution. Other variables are also found to explain variations in household income inequality in metropolitan areas over the decade, including changes in educational inequality, population growth rates, and changes in black-nonblack housing segregation. Overall, the findings presented here suggest that (1)further work must be done to substantiate the SBTC explanation for rising income inequality, (2)the effects of technological change may have little or no impact on inequality through economic growth, (3)the original Kuznets Curve Hypothesis appears to hold true even during periods of apparent structural change in an advanced post-industrial economy, and (4)numerous additional factors not identified by this study must be responsible for the variations in metropolitan household income inequality over the decade in question

    Evidence Inference 2.0: More Data, Better Models

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    How do we most effectively treat a disease or condition? Ideally, we could consult a database of evidence gleaned from clinical trials to answer such questions. Unfortunately, no such database exists; clinical trial results are instead disseminated primarily via lengthy natural language articles. Perusing all such articles would be prohibitively time-consuming for healthcare practitioners; they instead tend to depend on manually compiled systematic reviews of medical literature to inform care. NLP may speed this process up, and eventually facilitate immediate consult of published evidence. The Evidence Inference dataset was recently released to facilitate research toward this end. This task entails inferring the comparative performance of two treatments, with respect to a given outcome, from a particular article (describing a clinical trial) and identifying supporting evidence. For instance: Does this article report that chemotherapy performed better than surgery for five-year survival rates of operable cancers? In this paper, we collect additional annotations to expand the Evidence Inference dataset by 25\%, provide stronger baseline models, systematically inspect the errors that these make, and probe dataset quality. We also release an abstract only (as opposed to full-texts) version of the task for rapid model prototyping. The updated corpus, documentation, and code for new baselines and evaluations are available at http://evidence-inference.ebm-nlp.com/.Comment: Accepted as workshop paper into BioNLP Updated results from SciBERT to Biomed RoBERT

    Art

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