7,263 research outputs found

    Summer Workshop on Near-Earth Resources

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    The possible large scale use of extraterrestrial resources was addressed, either to construct structures in space or to return to Earth as supplements for terrestrial resources. To that end, various specific recommendations were made by the participants in the summer study on near-Earth resources, held at La Jolla, California, 6 to 13 August, 1977. The Moon and Earth-approaching asteroids were considered. Summaries are included of what is known about their compositions and what needs to be learned, along with recommendations for missions designed to provide the needed data. Tentative schedules for these projects are also offered

    Development and validation of a general purpose linearization program for rigid aircraft models

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    A FORTRAN program that provides the user with a powerful and flexible tool for the linearization of aircraft models is discussed. The program LINEAR numerically determines a linear systems model using nonlinear equations of motion and a user-supplied, nonlinear aerodynamic model. The system model determined by LINEAR consists of matrices for both the state and observation equations. The program has been designed to allow easy selection and definition of the state, control, and observation variables to be used in a particular model. Also, included in the report is a comparison of linear and nonlinear models for a high performance aircraft

    TEMPERATURE COEFFICIENT OF ELECTRICAL CONDUCTIVITY IN THE SYSTEM POTASSIUM CHLORIDE-ZINC CHLORIDE

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    The phase diagram of the system KCl-ZnCl2 has been constructed. Values of specific conductivity and density have been determined at eight temperatures in the range 475-650°C. for a series of compositions covering the concentration range. From these data, equivalent conductivities were calculated. The temperature coefficient of conductivity as expressed by the activation energy of ionic migration was calculated at four temperatures for each mixture.</p

    Solving Higher Order Dynamic Equations on Time Scales as First Order Systems

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    Time scales calculus seeks to unite two disparate worlds: that of differential, Newtonian calculus and the difference calculus. As such, in place of differential and difference equations, time scales calculus uses dynamic equations. Many theoretical results have been developed concerning solutions of dynamic equations. However, little work has been done in the arena of developing numerical methods for approximating these solutions. This thesis work takes a first step in obtaining numerical solutions of dynamic equations|a protocol for writing higher-order dynamic equations as systems of first-order equations. This process proves necessary in obtaining numerical solutions of differential equations since the Runge-Kutta method, the generally accepted, all-purpose method for solving initial value problems, requires that DEs first be written as first-order systems. Our results indicate that whether higher-order dynamic equations can be written as equivalent first-order systems depends on which combinations of which dynamic derivatives are present

    Investigating the Peptide-MHC Specificity of Alloreactive T Cells and Natural T Regulatory Cells Using a Self-peptide Display Library

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    T cells use their highly variable T cell receptor (TCR) to engage major histocompatibility molecules (MHC) presenting peptides on the surface of antigen presenting cells during an immune response. The TCR repertoire of developing T cells is shaped by thymic selection, resulting in a self-tolerant and foreign peptide specific naïve T cell population. However, naive T cells are alloreactive and generate immune responses towards foreign MHC alleles in clinical settings involving transplantation. While T cell immune responses towards foreign pathogens are peptide specific, the overall specificity of allo-responses is still debated. Under normal circumstances, immune system homeostasis and self-tolerance is maintained by specialized natural T regulatory cells (nTregs) that develop in the thymus. nTregs respond to self-peptide MHC they encountered in peripheral tissues with immune-suppressive activities. However, the identify of self-peptides that stimulate nTregs, specificity towards these self-peptides, and the method nTreg TCRs engage self-peptide MHC molecules is not clear. Here, we built a library of defined MHC-linked self-peptides eluted from the I-Ab MHC molecule to screen alloreactive T cells and self-reactive nTregs for activating self-peptides. We used this library to show that negative selection shapes the TCR repertoire’s specificity to self-peptides. We also provide evidence that alloreactive T cells have degenerate self and foreign peptide recognition if the foreign MHC allele is largely different from the host’s MHC allele. Finally, we identified a self-peptide that activates an nTreg, and present protein crystal structures that reveal its TCR engages self and foreign peptide MHC complexes via fairly conventional mechanisms

    How Healthcare Accounting Adapts to Lean Practices

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    Healthcare has recently begun a push towards more lean practices and management. Healthcare accounting, in an effort to reflect business practices, must change to accurately reflect reality. This research seeks to explore how healthcare providers improve their accounting systems to keep up with an ever-changing lean environment. By examining both healthcare and accounting literature, this comprehensive literature review seeks to answer the question, “How does healthcare accounting adapt to lean philosophies?”

    Who Benefits from Online Privacy?

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    When firms can identify their past customers, they may use information about purchase histories in order to price discriminate. We present a model with a monopolist and a continuum of heterogeneous consumers, where consumers can opt out from being identified, possibly at a cost. We find that when consumers can costlessly opt out, they all individually choose privacy, which results in the highest profit for the monopolist. In fact, all consumers are better off when opting out is costly. When valuations are uniformly distributed, social surplus is non-monotonic in the cost of opting out and is highest when opting out is prohibitively costly. We introduce the notion of a privacy gatekeeper &mdash; a third party that is able to act as a privacy conduit and set the cost of opting out. We prove that the privacy gatekeeper only charges the firm in equilibrium, making privacy costless to consumers

    Workforce development: is there a paradigm shift?

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    Editorial for a Special Issue on Workforce Development in the alcohol and other drugs field published in Drugs: Education, Prevention & Policy
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