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The model Equation 4 is optimized using a multistage Monte-Carlo optimization technique[43].
The mathematical model is further optimized using a modified particle swarm optimization (MPSO) algorithm.
Acoustic model parameters for both baseline and proposed methods are optimized using a development dataset.
Parameters for both methods were optimized using a two-layered cross-validation scheme.
SPME extraction time and temperature were optimized using a star experimental design.
The extraction and purification steps were optimized using a two-level full factorial design with replications.
The acetylation derivatization reaction was firstly optimized using a Doehlert design.
These factors were further optimized using a central composite design (CCD) and RSM.
The variables pH, concentration of NaCl and sonication time were optimized using a Doehlert matrix.
The initial crystallization conditions were further optimized using a grid screen by varying the concentration of the precipitant.
Throughout the reconstruction procedure, images were optimized using a standard postalignment compensation algorithm, eliminating misalignment artifacts.
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