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In this work, computer-automated radioactive particle tracking (CARPT), computed tomography (CT) and computational fluid dynamic (CFD) based models were used to investigate gas liquid flow generated by a Rushton turbine.
Different forest-inventory based models were used in the European context, to estimate the future forest C sink under different policies and management scenarios (i.e., [20]) or the impact of natural disturbances on the forest C stock [23] or the realizable potential supply of woody biomass [24].
Three (SNP) Single Nucleotide Polymorphism based models were used.
Codon based models were used since they have the greatest power to detect differing selective pressures acting on a protein [ 10, 11].
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A detailed analysis of this database is presented in a companion paper, where physically based models are used to quantify the relative contributions of constraint loss and statistical size effects.
In the current state-of-the-art, computational fluid dynamics (CFD) analysis and Blade Element Momentum (BEM) based models are used to analyse and design a wind turbine blade.
The harmonics-based models with different periods and different orders and quadratic function based model are used to describe the IFCB.
An activity based model is used, with the activity coefficients calculated using Debye Hückle theory.
An equilibrium based model is used to determine the performance of the system.
A power law based model is used to fit S N curves of experimental results.
Second, bandgap narrowing parameters and a table based model are used as a more generic model for compound semiconductors.
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