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A full factorial, central composite design (CCD) was used to identify the relationship between the response functions and process variables as well as to find out the conditions that optimized the extraction process.
It was also shown that a very narrow transition zone exists between the two regimes, and, inside this zone, clad layers having a satisfactory compromise between the response functions (surface aspect and cavity presence) were obtained.
The differences between the response functions of the four transducer types used were less than 20 dB for a constant input signal.
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Therefore, a standard RSM design (CCD) was used to identify the relationship between the response function (% removal) and the process variables (pH, biosorbent dose and contact time).
Response surface methodology (RSM) is a useful tool which integrates mathematical and statistical approaches to analyze the effects of defined independent variables on the response without the need for prior knowledge of a predetermined relationship between the response function and the variables [9].
The factorial design of experiments was followed to conduct the tests for establishing the relationship between the process parameters and the response functions of recovery of combustibles and ash of clean coal.
Further, we detected significant correlations between the moisture response functions of the undisturbed soils and soil texture.
The stochastic response of the base-isolated cylindrical tanks is obtained by the convolution between the frequency response function of the system and the input power spectrum.
Define the relationship between the frequency response function and the impulse unit response function in the follow-up coordinates as {mathbf{H}}({mathbf{x}}';omega ) = int_{0}^{infty } {{mathbf{h}}({mathbf{x}} + {mathbf{x}}_{{mathbf{0}}} + {mathbf{v}}theta,theta )} e^{ - iomega theta } {text{d}}theta.
In the bead microrheology, the relationship between the complex response function and shear modulus is obtained via the generalized Stokes-Einstein equation (GSER) where a is the radius of the probing bead.
The model of fluorescence decay signals acquired by the WFMP-FLIM setup is the numerical convolution between the instrumental response function (irf) of the TCSPC system and a decay model.
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