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With the items fitting the model, the highest (model-based) variance of mathematical competency parameters was determined, and thus, the objective of measuring individual differences was achieved.
About the second model, the highest optimal wholesale prices and optimal retail prices of products 1, 2, 3, and 4 are achieved under the MS-Stackelberg approach.
According to the investigated model, the highest interaction of variable belongs to the pH and temperature with the optimized condition of 9 11, and 75 85 °C, respectively.
Under all alternative scenarios of our model, the highest value alternative is hydropower domestic, renewable source while the Turkish electricity sector mainly relies on imported natural gas.
With the help of a developed RSM model, the highest conversion of DMF (89.82 wt%) was predicted at 1100 °C, 0.48 ml/min and water:DMF ratio of 1.35 (v/v).
According to the RSM model, the highest pectin yield (∼32.3%) can be achieved when the UAE process is carried out at 75 °C for 60 min using a citric acid solution of pH 2.0.
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If this is the regulatory model the high-frequency trading industry wants, critics will be delighted to agree.
The more data is used to train the model, the higher the predictive accuracy.
Therefore the fewer direct links are posited by the causal model, the higher its simplicity rank.
Considering Lambertian model, the higher the S, the lower the errors.
Biologically inspired cognitive architectures should faithfully model the high-level modules and processes of cognitive neuroscience.
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