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The method is based on a neural network model, estimating the water uptake using different types of data that are easy to measure in the field.
On single subject level, epoch- and event-related regressors were entered into a combined model, estimating the exclusive contribution of either regressor.
A simple model estimating the distribution of NADPH between the free and bound form was designed, that explains the differences measured for the BGF of reconstituted chloroplasts and intact chloroplasts.
In a seminal paper, Laurance and Yensen (1991) developed the first generalized predictive model estimating the amount of edge-affected area and remaining unmodified core area in isolated fragments.
Compared to the multiple stepwise regression model estimating the parameter n taken the influencing factors as independent inputs, the MARS model enhances the capability of the Budyko framework for assessing water availability at regional scale using readily available data.
To this end, a constitutive model estimating the shear stiffness as a function of axial tension along warp and weft in a typical glass plain weave has been selected.
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The estimation model estimates the IMEP of each cylinder.
Based on the pressure signals, a flow model estimated the position and strength of the eddies.
The Kaplan model estimates the rate of infection.
Multivariate Cox proportional hazards model estimated the chance of receiving OHT, adjusting for factors that might affect allocation.
The model estimates the fraction of the overall variation in the data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com