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Model predictions using a quadratic surface for water content and % charred pieces were validated with an additional experiment.
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The influence of various operating parameters such as pH, biosorbent dose and contact time on biosorption process was optimized by using a quadratic model Box Behnken design using surface methodology.
The yield of extraction (17.2% w/w) and the concentration of andrographolide (140.5 ppm) were the responses for the optimization using a quadratic model in the response surface methodology.
Influence of various operating parameters like pH, contact time, biosorbent dose and initial concentration on biosorption process were optimized by using a quadratic model Box Behnken design using response surface methodology.
The experimental data were analyzed by the response surface methodology (RSM) using a quadratic model for predicting the optimal point.
For example quadratic.py, produces pseudorandom number generators using a quadratic iteration.
The final estimates are obtained using a quadratic interpolation.
The quality of estimation is validated using a quadratic criterion.
The results were analyzed using a quadratic loglog curve fit.
The quadratic trends of each value across sleep duration categories were tested using a quadratic regression analysis.
The possibility of a local maximum was tested using a quadratic term for year.
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