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The results also indicate that predictions in biomass yield are sensitive to uncertainties in model parameters relative to the soil fungal complex that at this point are insufficiently understood experimentally and still have to be estimated by model fitting.
A common criticism of mathematical models is that they are very dependent on the choice of parameter values particularly where values are not available from experimental data but have to be estimated by model fitting.
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Finally, the thickness of regolith or soil overlying rock can be estimated by modeling the exposure rate if the radionuclide contents of both materials are known.
We show how this future expected rate can be estimated by modeling the probability that a user will be allocated a subcarrier in a future time slot.
We show how future expected rate can be estimated by modeling the probability that a user will be allocated a subcarrier in a future time slot.
Size distribution of large grains can be estimated by modeling the effect of radiation pressure on the grains based on the images of dust clouds (e.g., Jorda et al., 2007).
The different contributions to the integral energy influx were estimated by model calculations on the basis of assumptions for the kinetic energy of the charge carriers, their recombination, and film condensation.
For phylogenetic analyses based on nucleotide sequences, the best-fitting evolutionary model was estimated by Model Test 3.6 [ 63], from which the GTR+G+I (general time reversible model + among site rate variation + invariable sites) model was selected.
The performance of this swimmer was estimated by modeling the dynamics of a swimmer in viscous fluid.
The resolution of this process was estimated by modelling and experimental measurements of an edge response revealing the axial resolution is approximately half of one measuring window when the window lasts for two cycles or more.
Doses associated with specific measures of pulmonary inflammation were estimated by modeling the continuous dose-response relationships using benchmark dose modeling.
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