20,272 research outputs found

    Propellant grain for rocket motors Patent

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    Grain configuration for solid propellant rocket engine

    In The Thicke Of It

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    If you’ve been anywhere near your Facebook newsfeed in the last few days, you’re probably familiar with the most recent images of Miley Cyrus at her less-than-graceful VMA performance. From CNN’s front page headline, “What Was Miley Thinking?” to Buzzfeed’s gifset of a cartoon Cyrus twerking on famous paintings, her antics have, for better or for worse, become a hyper-inflated mega-sensation that I, frankly, don’t care about at all. I’m not going to talk about Miley anymore. Instead, let’s talk about her co-performer, Robin Thicke. [excerpt

    Paradoxes of Porn

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    So I have a confession: I’m kind of obsessed with porn. Which is weird considering that I have never actually seen any. [excerpt

    Trajectory and sighting analysis for first- apparition comets

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    Statistical, trajectory, and sighting analysis for first-apparition comets - flight path parameters - astronom

    Analysis of Adjoint Error Correction for Superconvergent Functional Estimates

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    Earlier work introduced the notion of adjoint error correction for obtaining superconvergent estimates of functional outputs from approximate PDE solutions. This idea is based on a posteriori error analysis suggesting that the leading order error term in the functional estimate can be removed by using an adjoint PDE solution to reveal the sensitivity of the functional to the residual error in the original PDE solution. The present work provides a priori error analysis that correctly predicts the behaviour of the remaining leading order error term. Furthermore, the discussion is extended from the case of homogeneous boundary conditions and bulk functionals, to encompass the possibilities of inhomogeneous boundary conditions and boundary functionals. Numerical illustrations are provided for both linear and nonlinear problems.\ud \ud This research was supported by EPSRC under grant GR/K91149, and by NASA/Ames Cooperative Agreement No. NCC 2-5431

    An introduction to the adjoint approach to design

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    Optimal design methods involving the solution of an adjoint system of equations are an active area of research in computational fluid dynamics, particularly for aeronautical applications. This paper presents an introduction to the subject, emphasising the simplicity of the ideas when viewed in the context of linear algebra. Detailed discussions also include the extension to p.d.e.'s, the construction of the adjoint p.d.e. and its boundary conditions, and the physical significance of the adjoint solution. The paper concludes with examples of the use of adjoint methods for optimising the design of business jets.\ud \ud This research was supported by funding from Rolls-Royce plc, BAe Systems plc and EPSRC grants GR/K91149 and GR/L95700

    A clinical informaticist to support primary care decision making

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    Objectives—To develop and evaluate an information service in which a "clinical informaticist" (a GP with training in evidence-based medicine) provided evidence-based answers to questions posed by GPs and nurse practitioners. Design—Descriptive pilot study with systematic recording of the process involved in searching for and critically appraising literature. Evaluation by questionnaire and semi-structured interview. Setting—General practice. Participants—34 clinicians from two London primary care groups (Fulham and Hammersmith). Main outcome measures—Number and origin of questions; process and time involved in producing summaries; satisfaction with the service. Results—All 100 clinicians in two primary care groups were approached. Thirty four agreed to participate, of whom 22 asked 60 questions over 10 months. Participants were highly satisfied with the summaries they received. For one third of questions the clinicians stated they would change practice in the index patient, and for 55% the participants stated they would change practice in other patients. Answering questions thoroughly was time consuming (median 130 minutes). The median turnaround time was 9 days; 82% of questions were answered within the timeframe specified by the questioner. Without the informaticist, one third of questions would not have been pursued. Conclusion—The clinical informaticist service increased access to evidence for busy clinicians. Satisfaction was high among users and clinicians stated that changes in practice would occur. However, uptake of the service was lower than expected (22% of those offered the service). Further research is needed into how this method of increasing access to evidence compares with other strategies, and whether it results in improved health outcomes for patients
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