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Adsorption of Cu II), Ni II), Zn II) and Pb II) ions onto Sjp was modeled using four adsorption isotherms: Langmuir, Freundlich, Temkin, and Dubinin Radushkevich isotherms.
The track is truncated to include 50 sleeper bays (30 m in length) and the rail is modeled using four Timoshenko beam elements per sleeper bay.
The crop conversion potentials in 2017 were modeled using four conversion sub-models of the Multi-Layer Perceptron (MLP) neural network.
Finally, the solubility data are modeled using four different semi-empirical density-based correlations namely Mendez Santiago-Teja (MST), Bartle et al., Chrastil and Kumar and Johnston (KJ) models.
The obtained solubility data were in the range of 1.17 × 10−5 and 5.12 × 10−4 based on the mole fraction (mole piroxicam/(mole piroxicam + mole CO2)) then modeled using four different density based correlations namely Bartle et al., Mendez-Santiago-Teja, Chrastil and Kumar and Johnston models.
Interaction effects between SNPs were modeled using four mutually exclusive levels: (1) subjects without either risk allele, (2) subjects with one risk allele in the first SNP but without the risk allele in the second SNP, (3) subjects without the risk allele in the first SNP but with the risk allele in the second SNP, and (4) subjects with both risk alleles.
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The mode choice is modeled using two alternative methods.
Burrows are modeled using ten endmember shapes commonly observed in macrofaunal burrow networks (Fig. 1).
The investigated system is modeled using three variables, namely Pr, SrvSt, and SzBuf.
Hard and soft dental tissues were modeled using three dimensional (3D) modeling programs and real cases.
MR-dampers can be modeled using two different model classes: semi-physical models and black-box models.
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