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The photocatalytic process was optimized with respect to the concentrations of the model substances during degradation.
This approach was intended to provide a standardised substrate with well-defined concentrations of the model substances.
The initial concentrations of the model species were mostly estimated.
In order to identify non-cytotoxic concentrations of the model cholestatic compounds (CsA and CPZ), dose selection exposure experiments were performed.
Independence of stationary point with respect to initial dynamic variable values confirms a unique stationary point in the phase space of dynamically varying concentrations of the model network.
Therefore, the monomer concentrations of the model (1 - 2) are converted into dimer concentrations (i.e. concentrations of proteins that are part of a dimer), using (3) and the mass balance (11).
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By converting and standardization of the concentration of pollutants resulting from the two methods of field data collection and modelling, the difference between this data is compared based on the Tables 3 and 4 and the correlation between the concentrations of the models have been calculated and measured (Figs. 3, 4, 5, and 6).
The results have shown that conversion increases with increasing amounts of photocatalyst and decreasing concentration of the model pollutant.
The effect of Ca2+ was dependent on the structure and concentration of the model and the Ca2+ to peptide ratio (rcat).
During measurement of the concentration of the model glucose analyte via hydrogen peroxide oxidation, the current was observed to be conducted faster to the electrode surface, therefore providing a lower response time, and a higher sensitivity value, using a relatively low enzyme load.
To compare the number concentrations between the model simulations and observations, the spatial and temporal probability distributions with percentiles of 75 and 25%% of the number concentration of the model simulations, and the observations, are shown in Fig. 6.
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