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Parameters influencing the method were optimized.
The operation conditions for preparing a Cu/ZnO-based multicomponent catalyst by a coprecipitation method were optimized.
The variables of interest in the USL-SPE-DSLLME method were optimized with the aid of chemometric approaches.
By combining single factor optimization and central composite design, the main factors in the FIL-NOSM method were optimized.
The sample size and incubation period of the AACC method were optimized for the proposed method using response surface methodology.
Powdered fruits of Terminalia chebula and powdered pod cover of Caesalpinia digyna was used in the process and the different process parameters for maximum production of tannase and gallic acid by co-culture method were optimized through media engineering.
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In the simulation, two channel types, CM1 and CM4, and TFC 1 are used, and the threshold of each method is optimized by searching the optimal value for each SNR.
The essential design parameters (including learning rate, momentum coefficient and fuzzification coefficient of the underlying clustering method) are optimized by means of the particle swarm optimization.
The FuGENE transfection method was optimized by testing different quantities of reagent and miR; FuGENE (μL)/miR (μg) ratios of 3 1 in particular were found to be optimal.
A Diltiazem kinetic spectrophotometric method was optimized by factorial analysis.
A chemical hydrolysis method was optimized using a chemometric approach.
More suggestions(15)
modes were optimized
methods were optimized
method were shown
method were presented
method were balanced
method were recognized
method were determined
method were used
method were established
method were demonstrated
method were highlighted
method were discussed
method were compared
method were adopted
method were acknowledged
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