20 research outputs found

    A frost formation model and its validation under various experimental conditions

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    A numerical model that was used to calculate the frost properties for all regimes of frost growth is described. In the first regime of frost growth, the initial frost density and thickness was modeled from the theories of crystal growth. The 'frost point' temperature was modeled as a linear interpolation between the dew point temperature and the fog point temperature, based upon the nucleating capability of the particular condensing surfaces. For a second regime of frost growth, the diffusion model was adopted with the following enhancements: the generalized correlation of the water frost thermal conductivity was applied to practically all water frost layers being careful to ensure that the calculated heat and mass transfer coefficients agreed with experimental measurements of the same coefficients

    Detection of SHV β-lactamases in Gram-negative bacilli using fluorescein-labeled antibodies

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    <p>Abstract</p> <p>Background</p> <p>β-lactam resistance in Gram-negative bacteria is a significant clinical problem in the community, long-term care facilities, and hospitals. In these organisms, β-lactam resistance most commonly results from the production of β-lactamases. In Gram-negative bacilli, TEM-, SHV-, and CTX-M-type β-lactamases predominate. Therefore, new and accurate detection methods for these β-lactamase producing isolates are needed.</p> <p>Results</p> <p><it>E. coli </it>DH10B cells producing SHV-1 β-lactamase and a clinical isolate of <it>K. pneumoniae </it>producing SHV-5 β-lactamase were rendered membrane permeable, fixed and adhered to poly-L-lysine coated slides, and stained with purified polyclonal anti-SHV antibodies that were fluorescein labeled. <it>E. coli </it>DH10B cells without a <it>bla</it><sub>SHV </sub>gene were used as a negative control. The procedure generated a fluorescence signal from those slides containing cells expressing SHV β-lactamase that was sufficient for direct imaging.</p> <p>Conclusion</p> <p>We developed a rapid and accurate method of visualizing the SHV family of enzymes in clinical samples containing Gram-negative bacilli using a fluorescein-labeled polyclonal antibody.</p

    Prediction of ice/frost growth on insulated cryogenic tanks

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    Reconstruction of Pan Am Orleans accident

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