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Systematic sensitivity analyses, made possible by a new iterative approach, allows the identification of key parameters for improved fault detection and model based process control of plasma reactors.
The systematic modeling of spray systems with the methodology explained in the paper not only reduces the design and prototyping time and costs but also gives engineers a better understanding of the design parameters for improved spray system performance.
Important parameters for improved recovery are (1) solution gas, (2) formation and fluid thermal conductivity that permits conductive heating, and (3) the ability to achieve relatively low bottom-hole pressure in production wells.
The combination of multiple fluorescence detection parameters for improved fluorophore discrimination promises to substantially enhance our ability to visualize multiple cellular targets with sub-diffraction-limit resolution.
The work comprises the optimisation of the CE separation and the ESI-MS parameters for improved sensitivity with model compounds using two successive designs of experiments.
Numerous models have been reported in the literature for permeability and flow units characterization utilizing various parameters for improved petrophysical evaluation.
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Design and operating parameters for improving the gas production rate are identified.
The effective parameters for improving the efficiency of microextraction process were investigated by using experimental and central composite designs.
The proposed approach, proven to be able to obtain optimal process parameters for improving the fatigue resistance of the component, can significantly reduce the costs for experimental testing.
For this, the availability cost optimization model has been constructed for determining the optimal design parameters for improving the system design efficiency.
The objectives of the study were to evaluate the yield stability of the genotypes and the relative importance of different stability parameters for improving selection in faba bean.
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