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Put simply, we are introducing a quick model that the industry can use for the estimation of dew point pressure based on simple measured data.
It can be observed from this equation that decays rapidly with increasing, thus making it difficult to use for the estimation of the system poles.
Moreover, a heuristic fixation of the 'non-linear' parameters applied in this case linearizes the model, which makes the generalized additive model approach reasonable to use for the estimation of the covariate effects on the original parameters.
The main interest in this property is because of its possible use for the estimation of the solubility of chemical compounds using the general solubility equation (GSE) [19] log,{text{S}} = 0.5 - 0.01 {text{MP-25}}) - log{text{P}} (3)where logS is the intrinsic molar solubility and logP is the octanol/water partition coefficient.
Then we show how this is associated with the Potential Impact Fraction and facilitates its use for the estimation of the measures of interest.
Here, we first describe a probabilistic framework for interpreting quantities used in the IMPACT model, and then we show how this is connected with PIF, facilitating its use for the estimation of the relative reduction of mortality caused by treatment uptake increase.
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n = the number of sampled points used for the estimation.
The following formula is used for the estimation.
The weight loss method was used for the estimation of the corrosion.
The NDVI was used for the estimation of the spatial distributions of transpiration rates.
Therefore, the Compressed Sensing (CS) technique can be used for the estimation of the channel.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com