8,431 research outputs found

    Design features and results from fatigue reliability research machines

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    Design and performance tests for reversed bending with steady torque fatigue test machine using notched steel specimen

    Effects of mechanically separated dairy cow slurry on grazing performance

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    Electron microscopic measurement of the size of the optical focus in laser scanning microscopy

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    We describe a method for measuring the lateral focal spot size of a multiphoton laser scanning microscope (LSM) with unprecedented accuracy. A specimen consisting of an aluminum film deposited on a glass coverslip was brought into focus in a LSM and the laser intensity was then increased enough to perform nanoablation of the metal film. This process leaves a permanent trace of the raster path usually taken by the beam during the acquisition of an optical image. A scanning electron microscope (SEM) was then used to determine the nanoablated line width to high accuracy, from which the lateral spot size and hence resolution of the LSM can be determined. To demonstrate our method, we performed analysis of a multiphoton LSM at various infrared wavelengths, and we report measurements of optical lateral spot size with an accuracy of 20 nm, limited only by the resolution of the SEM

    Recent experiences using finite-element-based structural optimization

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    Structural optimization has been available to the structural analysis community as a tool for many years. The popular use of displacement method finite-element techniques to analyze linearly elastic structures has resulted in an ability to calculate the weight and constraint gradients inexpensively for numerical optimization of structures. Here, recent experiences in the investigation and use of structural optimization are discussed. In particular, experience with the commercially available ADS/NASOPT code is addressed. An overview of the ADS/NASOPT procedure and how it was implemented is given. Two example problems are also discussed

    When The Rest Of The World Don\u27t Want You Go Back To The Folks At Home

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    https://digitalcommons.library.umaine.edu/mmb-vp/4566/thumbnail.jp

    There\u27s A Garden In Hawaii

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    https://digitalcommons.library.umaine.edu/mmb-vp/6606/thumbnail.jp

    In The Sweet Bye And Bye

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    https://digitalcommons.library.umaine.edu/mmb-vp/6035/thumbnail.jp

    Going beyond simple sample size calculations: a practitioner's guide

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    Basic methods to compute required sample sizes are well understood and supported by widely available software. However, the sophistication of the methods commonly used has not kept pace with the complexity of commonly employed experimental designs. We compile available methods for sample size calculations for continuous and binary outcomes with and without covariates, for both clustered and non-clustered RCTs. Formulae for both panel data and unbalanced designs are provided. Extensions include methods to: (1) optimise the sample when costs constraints are binding, (2) compute the power of a complex design by simulation, and (3) adjust calculations for multiple testing
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