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The experimental data were analyzed by the response surface methodology (RSM) using a quadratic model for predicting the optimal point.
The optimal extraction conditions using a quadratic model were: stirring rate 700 rpm, extraction temperature 43 °C, extraction time 15 min and without salt addition.
Channel confinement was found to correlate strongly with the density of groundwater thermal refuges using a quadratic model (R2 = 0.83, p < 0.05).
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 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.
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Of the five published algorithms which mapped QLQ-C30, four used linear models (OLS estimates) [ 20] and one used a Quadratic model [ 12].
In order to optimize these properties, fiber amounts were adjusted using a quadratic mathematical model, indicating that formulations containing only the rice husk or an 82/18 (% w/w) rice husk/sugarcane bagasse mixture will perform best.
The results, including tumor blood flow measured by positron emission tomography, were analyzed using a quadratic polynomial model.
The registration between the consecutive IR frames can be achieved using a quadratic motion model.
** The number of age-regulated probes (p-value < 0.05) was determined using a quadratic regression model and no age-association as null hypothesis.
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