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A comparison of the numerical results of the three models indicates that the effect of the reaction between hydroxide and CO2 is significant, especially when estimating the rate coefficient of the CO2/MDEA reaction for unloaded aqueous MDEA solutions.
Surface soil moisture data are capable of identifying soil hydraulic parameters for the top layers, but exert less or no influence on deeper layers especially when estimating multiple parameters simultaneously.
The similar results from the LL and the TL models are a first robustness check of the complementarity result: As mentioned, for example, by Considine and Mount (1984) and Arnberg and Bjorner (2007), heterogeneity of the observations regarding the factor shares can be an issue especially when estimating using a translog function.
However, caution should be exercised, especially when estimating small values (e.g., a and b <.1).
However, possible limitations resulting from these assumptions should be considered carefully when interpreting the results especially when estimating treatment durations.
Furthermore, especially when estimating resistance among retreatment cases, it is difficult to predict either the magnitude or the direction of this bias.
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Probabilistic analysis is most widely used method for characterizing uncertainty in physical and social systems, especially when estimates of the probability distributions of uncertain parameters are available.
Information bias may have resulted especially when estimate of quantities of foods consumed are considered.
The ability to make species level distinctions is especially important when estimating merchantable timber volumes and biomass, as these parameters differ between species in trees that are the same size.
This is especially true when estimating the effects of exposures that occur during exposure windows of high sensitivity, such as fetal or child development, because of anatomical and physiological differences (e.g., higher gastrointestinal absorption of radionuclides, higher bone formation/resorption rate).
This trend became clearer in the helix domain roughly estimated by the primary structure analysis, especially when the estimated helix region with very low Sav values (Sav < 0.1) is further excluded and the nonhelix region with very high Sav values (Sav > 0.7) is included (the red letters of table 1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com