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In this work the demister performance is predicted as a function of design (wire diameter), and operating parameters (stage temperature).
The concentration of polymer at the I N transition is predicted as a function of the molecular weight of polymer.
Using two active sites at three-fold hollow sites, the adsorption energy for sulfur on Ni1−xCux is predicted as a function of the alloy composition.
The impact of the distributor design on the separation efficiency is predicted as a function of media properties and packed bed dimensions.
The creep rupture life of 9 12% chromium ferritic steel is predicted as a function of alloy composition, creep stress, and creep temperature.
Based on the Defect Stress Gradient approach (DSG) published in a previous work, the fatigue limit is predicted as a function of the SDAS and defect size.
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R2 values greater than 0.82 and 0.84 for HDD and zeta potential, respectively, irrespective of incubation time suggest those changes could be predicted as a function of pH and IS.
The values of column parameters were predicted as a function of flow rate and bed height.
Coefficients of thermal expansion are predicted as a function of metal content and temperature.
Upon model validation, operation regimes for catalytic oxidation are predicted as a function of N2 dilution.
Rejections are predicted as a function of feed pressure and permeate flux with the salt concentration as a parameter.
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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