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All the model parameters were characterized using classical tests for mechanical characterization of polymers, which do not include shape memory tests.
Reversible binding kinetic parameters were characterized using computational models.
The pesticide usage, some orchard characteristics and two small-scale landscape parameters were characterized.
These parameters were characterized using 1H NMR, multiple-angle laser light scattering and size-exclusion chromatography.
Several parameters were characterized including particle starting position, kinetic energy, trajectory and FAL design.
Grain size, misorientation, image quality factor and other parameters were characterized and analysed in some detail.
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These stochastic parameters are characterized by a scenario tree.
All concrete and steel material parameters are characterized as random variables (RVs).
The model parameters are characterized in such a way that they minimize a precision criterion.
Then, the explicit expression of the desired filter parameters is characterized.
Experimentally, the system parameters are characterized by measuring the complex reflection coefficient Γ ≡ α out / α in.
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