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Therefore, GM-SYS Profile Modelling allows us to create a complex 2D structural model which is consistent with both the observed gravity and magnetic fields.
In this paper, the simplicity of its blade rubbing modelling allows us to evaluate in a fast and efficient way the dynamics of this system as a function of several design parameters.
The modelling allows us to spatially correlate the geomorphological evidence of margin positions into two major stages and further indicates a strong altitude mass balance feedback leading to an ice cap that is not in balance with its climate and with an extent that is limited by the length of the cold phases rather than their severity.
This modelling allows us to visualise the average patient and individual patients.
ML modelling allows us to model individual responses while allowing for differences between the PCTs to also be modelled.
Including concentration-dependent binding of tacrolimus to erythrocytes in the modelling allows us to account for haematocrit differences in the interpretation of tacrolimus whole blood concentrations without the need to measure tacrolimus plasma concentrations.
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This model allows us to use additional statistical tests to check a hypothesis of heterogeneity presence in a DNA sequence.
This model allows us combining data from different batches using the same microarray platform for analysis.
This model allows us to account autocorrelation within profiles.
A small modification of these models allows us to model a softer informational attitude.
This richer model allows us to formally define a variety of (soft) informational attitudes.
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