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Plackett Burman and Box Behnken designs were applied as experimental design strategies to screen and optimize the influence of membrane ingredients on the electrode performance.
The model has helped conclude that developing SU-8 capillaries on aluminum or copper substrates would optimize the influence of thermal conductivity and capillary dimensions on the performance of the MEMS-based heat exchanger.
A multi-criteria approach was developed to validate and optimize the influence of animate spaces on sustainable buildings, with an emphasis on their influence on building environment quality and occupant satisfaction.
The objectives of the present study were to evaluate and optimize the influence of process variables such as microwave power, pH, time and solid liquid ratio on the extraction of pectin from waste Carcia papaya L peel.
A multi-criteria approach has been developed to validate and optimize the influence of passive spaces on sustainable buildings from the perspectives of building environment quality and occupant satisfaction.
Therefore, an upper limit on the FR should be found to optimize the influence of Fresnel reflection and transmission to maximize the absorption of the NW arrays.
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Response surface methodology (RS M was employed to model and optimize the influences of pulsed duty cycle, PDC, (0.5 0.9), current density, CD, (5 15 mA cm−2) and initial phenol concentration (100 500 mg/L) on the removal efficiencies of phenol and total organic carbon (TOC) and their associated specific energy consumption (SEC).
Always optimizing the influence of our projects to include broader impact beyond the target beneficiary, our education team is delighted that Anton's project has acquired a life of its own and that it will continue to promote science for the next generation.
Small area cells (3 cm2 active area) were first carefully optimized investigating the influence of a number of discrete parameters on performance.
To optimize the method the influences of the major operating conditions on the dimensions of the neodymium carbonate particles were quantitatively evaluated through the analysis of variance (ANOVA).
To optimize the formulation, the influence of causal factors such as amounts of gelatin, insulin, oleic acid (OA) and the volume ratio of the outer aqueous phase to total and agitation time of the second emulsification process on individual characteristics of the emulsion, such as inner droplet size, viscosity, stability and pharmacological effect, was evaluated first.
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