12,047 research outputs found

    Rudolf Serkin: A Life

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    Pianist Rudolf Serkin, a virtuosic solo performer and chamber musician, captivated music lovers the world over for much of the twentieth century. Although he acquired a large and devoted public following, Serkin preferred to keep out of the spotlight, instead directing attention toward the music he loved. Dedicated to disseminating European classical music in America, Serkin became a committed teacher and director of major musical institutions. Rudolf Serkin: A Life, the first biography of this influential figure, offers an insightful analysis of Serkin\u27s role in shaping American musical values and provides a rare glimpse into the life story of this intense performer and elusive man

    Public Trust in Science: Exploring the Idiosyncrasy-Free Ideal

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    What makes science trustworthy to the public? This chapter examines one proposed answer: the trustworthiness of science is based at least in part on its independence from the idiosyncratic values, interests, and ideas of individual scientists. That is, science is trustworthy to the extent that following the scientific process would result in the same conclusions, regardless of the particular scientists involved. We analyze this "idiosyncrasy-free ideal" for science by looking at philosophical debates about inductive risk, focusing on two recent proposals which offer different methods of avoiding idiosyncrasy: the high epistemic standards proposal and the democratic values proposal

    Roses

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    https://digitalcommons.library.umaine.edu/mmb-vp/6397/thumbnail.jp

    THE ECONOMICS OF NON-GMO SEGREGATION AND IDENTITY PRESERVATION

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    We survey grain and soybean handlers and producers in the U.S. and EU to estimate costs of preserving the identities of GMO and non-GMO crops in marketing channels. We introduce our estimates into the IFPRI IMPACT model to simulate the effects of identity preservation on farm incomes and consumer well-being.Research and Development/Tech Change/Emerging Technologies,

    An Improved Stock Price Prediction using Hybrid Market Indicators

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    In this paper the effect of hybrid market indicators is examined for an improved stock price prediction. The hybrid market indicators consist of technical, fundamental and expert opinion variables as input to artificial neural networks model. The empirical results obtained with published stock data of Dell and Nokia obtained from New York Stock Exchange shows that the proposed model can be effective to improve accuracy of stock price prediction

    Feshbach resonances in Cesium at Ultra-low Static Magnetic Fields

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    We have observed Feshbach resonances for 133Cs atoms in two different hyperfine states at ultra-low static magnetic fields by using an atomic fountain clock. The extreme sensitivity of our setup allows for high signal-to-noise-ratio observations at densities of only 2*10^7 cm^{-3}. We have reproduced these resonances using coupled-channels calculations which are in excellent agreement with our measurements. We justify that these are s-wave resonances involving weakly-bound states of the triplet molecular Hamiltonian, identify the resonant closed channels, and explain the observed multi-peak structure. We also describe a model which precisely accounts for the collisional processes in the fountain and which explains the asymmetric shape of the observed Feshbach resonances in the regime where the kinetic energy dominates over the coupling strength.Comment: 5 pages, 4 figures, 1 tabl

    Jeopardy During the Period of the Year Books

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