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At higher pressures the model over predicts the experimental trends.
For counter operation over a wide range of conditions (e.g. very different gas pressures) the model is extended so that four parameters are required to model the gain.
On the other hand, for high turgor pressures, the model predicts that the average growth rate will become asymptotically independent of turgor as the turgor increases and the growth rate oscillation amplitude decreases.
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At both pressures the models with four-variables outperformed other models at the same pressures, and void fraction (Vf) and isosteric heat of adsorption (Qst) were found to be the most significant parameters.
When the turgor is only slightly higher than the yield pressure, the model predicts a linear relation between turgor pressure and average growth rate.
"probing hypotheses regarding the long-term control of arterial pressure" – the model is both too limited and phenomenological to allow for any testing of various hypotheses.
Table S3 Analysis of factors associated with ICU mortality in patients without ARDS receiving mechanical ventilation considering driving pressure in the model instead of maximum airway pressure.
Table S4 Analysis of factors associated with in-hospital mortality in patients without ARDS receiving mechanical ventilation considering driving pressure in the model instead of maximum airway pressure.
We only included blood pressure in the model because the intensity of treatment was most likely secondary to the blood pressure, not the reverse.
The fluctuation between lithostatic (broken bold line) and hydrostatic (solid bold line) fluid pressure in the model of this study occurs at a temperature gradient of 20 °C/km.
There is another possible way of including the critical pressure in the model based on Kobayashi and Tanaka (2010, hereafter KT10).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com