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Optimization and analysis of multiple variables in an experiment can be achieved by response surface methodology (RSM) and Box Behnken design (BBD) (Woraharn et al. 2015).
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Optimization was achieved by response surface method.
The optimization of antioxidant extraction conditions from a ripe edible fruits of Zizyphus lotus (L.) with an ultrasound-assisted system was achieved by response surface methodology.
Optimization of photo-Fenton degradation of copper phthalocyanine blue was achieved by response surface methodology (RS M constructed with the aid of a sequential injection analysis (SIA) system coupled to a homemade photo-reactor.
Optimization of conidial production was achieved by response surface methodology (RS M, a powerful mathematical approach widely applied in the optimization of fermentation process, using the three substrates; rice, barley and sorghum at variable pH, moisture content and yeast extract concentrations.
An increased production (5.29 g/L) of insoluble melanin, in tyrosine medium under submerged bioprocess, was achieved by response surface methodology.
Similarly, greater understanding of amygdala function in humans may be achieved by differentiating response properties of human amygdala subregions.
In a related manner, temporal coordination of developmental processes can be achieved by differential response to a common signal [ 45, 46].
However, a significant question surrounds the reliability that could be achieved by an automated response system.
This can be achieved by a robust response to parameter changes and correlates with the degree of specialization of the given structure.
This may be achieved by enhancing immune responses directly (TLR-agonists, vaccine therapy, adoptive T-cell therapy) or indirectly (through inhibition of HBsAg production).
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