Sentence examples for model techniques including from inspiring English sources

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For continuous variables (eg, age, weight and laboratory assays), linear model techniques including t-tests, analysis of variance and analysis of covariance will be applied.

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Neural modeling techniques, including digital image analysis, were used to classify the pests.

Forty modeling techniques, including ensemble modeling were explored to identify the set of best performing models for different attribute sets.

Three computer modelling techniques including molecular dynamics, Monte Carlo method and finite element method are outlined without mathematical details.

Using an assortment of modeling techniques, including compartmental and agent-based simulation models, I attempt to determine the mechanisms by which disease is maintained in populations and communities, and explore the conditions that result in large outbreaks.

The impacts of different medium designs, geometrical scaling, and the breakdown of scaling, both in terms of write-ability and transition curvature, are shown based on different modeling techniques, including analytical formulas, finite element modeling (FEM), and micromagnetic simulations.

In this work, a series of xanthine oxidoreductase inhibitors were studied by a combination of molecular modelling techniques including: three-dimensional quantitative structure-activity relationship (3D-QSAR), Topomer comparative molecular field analysis (CoMFA), molecular docking, and molecular dynamic simulations.

In this work, 120 atorvastatin analogues were studied using a combination of molecular modeling techniques including three-dimensional quantitative structure activity relationship (3D-QSAR), molecular docking and molecular dynamics (MD) simulation.

Among the described approaches are different in silico modeling techniques, including flux balance analysis, elementary flux mode analysis and kinetic flux profiling, as well as different variants of experiments with plant systems which use radioactive and stable isotopes to determine in vivo plant metabolic fluxes.

Comparisons to other robust randomised neural modelling techniques, including the probabilistic robust learning algorithm for neural networks with random weights and improved RVFL networks, indicate that the proposed RSCNs with KDE perform favourably and demonstrate good potential for real-world applications.

It also triggered the development of original modelling techniques, including asymmetric information game theory and standard agency theory (SAT).

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