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Characterising serpentine particles leached under different conditions, along with analysing model parameters, provided a new insight into the mechanism of the dissolution of heat activated lizardite.
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The identification of the key model parameters providing quantitative agreement between experimental and modeling at various stages of cancer evolution can help in the interpretation of the experimental data and consequently, in proper cancer staging and early cancer detection.
The model parameters provide insight into the nature of the water activity in food products, providing potentially useful information for food processing and modeling.
The combined application of the online framework and the joint estimation of sensitive model parameters provides a very efficient usage of measurement data reducing the overall number of experiments.
If this also partly obscures the physical interpretation that might be made of the electrical conductivity properties of the top and half-space model lithospheric layers, this can be accepted so long as the same model parameters provide reasonably accurate estimates of induced geoelectric fields for different magnetic storms.
The fitted model parameters provide information on the number of probe sets expected in each expression pattern.
We describe a general model of how epigenetic DNA methylation affects transcription factor binding ability where several model parameters provide sufficient freedom for different circumstances.
The proposed HMM which uses Bayesian methods to estimate the model parameters provides a conceptually simple basis for the surveillance of small area disease notification data.
We propose an efficient iterative algorithm for estimation of model parameters, provide an error-based choice for the tuning parameter and prove the consistency of the resulting estimate, both in terms of sign of the effects, as well as, variable selection properties.
The model and parameters provided predictive results of NH4Cl solubilities in the quaternary of the NH4Cl MgCl2 NH3 H2O system that agreed well with the experimental results.
This knowledge often serves as a guide for the development of mesoscopic and macroscopic continuum models, with input parameters provided by atomistic models.
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