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  • 1
    ISSN: 1572-9648
    Keywords: Neural networks ; Combustion control ; Spark ignition ; Internal combustion engines ; Automotive applications
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics
    Notes: Abstract To be able to meet the demands of low emissions and fuel consumption ofmodern combustion engines, new ways have to be found to control thecombustion. We use new sensors to measure the pressure in the combustionchamber and analyze this signal with a neural network in order to receiveseveral form factors which can be used to control the ignition timing. Theneural network is trained off line with measured data and used on line toderive the form factors. The proposed algorithm can be computed in real timeon conventional digital signal processors and adapted to new engines withvery little effort.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 0173-0835
    Keywords: Two-dimensional polyacrylamide gel electrophoresis ; Immobilized pH gradients ; Thiourea ; Apolipoproteins ; Fat emulsions ; Particle size ; Chemistry ; Biochemistry and Biotechnology
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Biology , Chemistry and Pharmacology
    Notes: The two-dimensional polyacrylamide electrophoresis (2-D PAGE) of the plasma protein adsorption pattern previously established for polymeric nanoparticles was modified and transferred to oil in water emulsions for intravenous administration. The emulsions were incubated with citrated plasma, and separation from excess plasma was performed by centrifugation under optimized conditions: 15 000 g and three washing steps with 0.05 M phosphate buffer, pH 7.4. With this sample preparation, coalescence of droplets could be avoided and an unchanged surface area maintained, in addition the phosphate buffer minimized artificial IgG adsorption. Critical factors affecting sensitivity were contamination of the sample by oil residues and the use of thiourea in the immobilized pH gradients. Changes in the protein adsorption pattern caused by altered surface properties of the emulsion (i. e. adsorbed Poloxamer 407) were detectable when applying the optimized protocol. Knowledge of the protein adsorption patterns and their correlation to in vivo behavior opens the perspective for the development of intravenous emulsions for controlled drug delivery.
    Additional Material: 3 Ill.
    Type of Medium: Electronic Resource
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