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In order to estimate if gender could affect RBV exposure, we compared parameters which were statistically different in the whole population.
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The paired two-tail t-test was used to compare parameters obtained in control (which could be either PSS or pretreatment with another inhibitor) and test conditions in the same cell.
Hence, the simulation outcomes were compared to the measured parameters which are clearly in a good agreement.
In addition, the results of the integrated calculation and the non-integrated one are compared and the characteristic parameters which affect the equipment shock response are analyzed.
By the application of thermodynamic models, we propose a prediction method for these ΔG0 parameters, which was compared to experimental analysis.
The experiment results are processed with transformation and least squares functions to obtain all effective in-plane elastic parameters, which are compared with analytical solution based on deformation of idealized cell structure.
We used 15-year time-series of four vegetation indices (EVI, NDVI, gNDVI and NDWI) derived from MODIS surface reflectance to estimate phenological parameters which were then compared with in situ climatic variables, salinity and litterfall.
It is, instead, proportional to the number of GSS parameters which is much lower compared with either scenario mentioned above.
Each round trip record contains eight parameters, which are necessary for comparing round trips.
A Michaelis-Menten model was developed, including glucose inhibition and kinetic parameters, which were accurately determined and compared.
Third, the model estimates parameters which can be used to describe and compare policy portfolios across countries.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com