171,925 research outputs found

    Titanium reinforced boron polyimide composite

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    Program involves development of process technique for boron-polyimide prepeg, lay-up and curing procedures for prepegs when processed under vacuum bag pressure, and development and evaluation of titanium hard points for smooth transition of loads from titanium attach points into boron reinforced body of structure

    Technique for predicting the thermal expansion coefficients of cryogenic metallic alloys

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    Series of measurements on the thermal expansion coefficients of several aerospace alloys and standard materials establish relationships between related alloys that would aid in predicting their thermal expansion reliability. Thermal expansion data are also necessary for the reduction of electrical resistivity measurements of those same materials

    Morphine vs. ABT-594: A Reexamination by the Principle of Double Effect

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    An Enactive Theory of Need Satisfaction

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    In this paper, based on the predictive processing approach to cognition, an enactive theory of need satisfaction is discussed. The theory can be seen as a first step towards a computational cognitive model of need satisfaction

    The Rational Hybrid Monte Carlo Algorithm

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    The past few years have seen considerable progress in algorithmic development for the generation of gauge fields including the effects of dynamical fermions. The Rational Hybrid Monte Carlo (RHMC) algorithm, where Hybrid Monte Carlo is performed using a rational approximation in place the usual inverse quark matrix kernel is one of these developments. This algorithm has been found to be extremely beneficial in many areas of lattice QCD (chiral fermions, finite temperature, Wilson fermions etc.). We review the algorithm and some of these benefits, and we compare against other recent algorithm developements. We conclude with an update of the Berlin wall plot comparing costs of all popular fermion formulations.Comment: 15 pages. Proceedings from Lattice 200

    A transitional analysis of the welfare cost of inflation

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    This paper applies new computational methods for studying nonstationary dynamics to reevaluate the welfare cost of inflation. A dynamic stochastic general equilibrium model with heterogeneous agents is studied. Incomplete markets induce agents to hold a fiat currency as insurance against idiosyncratic income fluctuations. Rather than comparing steady state equilibria, I measure the welfare cost of inflation by explicitly modeling the transitional dynamics that arise following a change in monetary policy. Transitional dynamics are shown to increase the welfare cost of inflation substantially. Also, contrary to conventional wisdom, transitional dynamic effects are shown to increase the benefits of reducing the inflation rate.Econometric models ; Inflation (Finance) ; Monetary policy ; Money ; Welfare
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