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Heat transfer data under various processing conditions (temperature, frequency, and headspace) and product properties (liquid viscosity, particle concentration, and particle density) during RA-TP were utilized to develop a composite model using quadratic stepwise regression analysis.
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Figure 5 Plot of the predicted vs. observed log(1/EC 50 ) values in case of: a) the composite PLS model using 10 ppm x 10 ppm x 0.5 Å bins and 7LVs; b) the composite KNN model using 2 ppm x 2 ppm x 0.5 Å bins and 6 neighbors; and c) the PLS-KNN consensus model.
Neighbor-joining (NJ) phylogenetic tree of 237 STs of M. aeruginosa was constructed on the basis of the distance matrix calculated using the concatenated sequence of the seven MLST loci, employing the maximum composite likelihood substitution model using MEGA software ver. 4.01 [4.01
The tree was rooted to Mortierella alpina PUFA elongase [GenBank:AF206662] as the outgroup species applying the Neighbour Joining algorithm [ 53], and the maximum composite likelihood (ML) model using MEGA4 [ 54].
A script program was developed to generate the hybrid composite model by using ANSYS Parameter Design Language APDLL).
The comparison of the composite model predictions using the field data and actual production data demonstrates that the five-region model considering the stimulated reservoir volume and adsorption and desorption process is able to describe the gas flow of multistage fractured horizontal well in shale gas reservoir.
The geometry of the hybrid composite was modelled using WiseTex software and transferred to Abaqus for meso-finite element (FE) modelling using the embedded element method.
The oil yield was represented by a second-order polynomial model using central composite rotatable design (CCRD).
temperature (°C) and ethanol concentration with 5 levels (−1.414, −1, 0, +1 and +1.414) were used to design the optimisation model using central composite rotatable design where, −1.414 and +1.414 refer to axial values, −1 and +1 mean factorial points and 0 refers to centre point of the design.
The optimized cultivation medium constituents were derived from the predicted model using central composite design as follows: 31.26 g/l glucose, 1.06 g/l yeast extract powder, 1.00 g/l K2HPO4, 0.50 g/l KH2PO4, and 0.45 g/l MgSO4·7H2O, pH unadjusted.
The composite model is used to find the shrinkage of mortar from paste properties in the first step, and then the range of the concrete shrinkages is determined using the shrinkage of the mortar and the Hashin Shtrikman bounds [16] with the corresponding elastic modulus.
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