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Box Behnken experimental design combined with RSM was used to examine and optimize the effects of major process parameters.
Uniform Design was used to optimize the effects of processing parameters for extraction of polysaccharides from Fructus Corni.
The Box Behnken design was applied to optimize the effects of enzyme concentration (X1), pH (X2) and ultrasonic time (X3).
Design Expert software version 8.0.6.1 was used to optimize the effects of the experimental parameters on the responses.
Factorial design and response surface methodology were applied to evaluate and optimize the effects of pH, adsorbent dose, contact time, temperature and initial ammonia concentration.
Factorial design and response surface methodology (RSM) were used to evaluate and optimize the effects of pH, ozone flow rate, and contact time on the treatment process.
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However, not many details on the optimal intensity, duration, or type of exercise to optimize the effect are available.
By design it is relatively cheap to optimize the effect of the fluid flow during cleaning.
To optimize the effect of multiple ligand-receptor pairs, biophysical parameters must be considered.
Full factorial design was used to optimize the effect of variable factors.
Just as a mean effect size provides certain evidence for potential duplications of the study findings, subgroup analysis allows for uncovering moderators that optimize the effect.
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