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An exponential model (first order) was fitted to the degradation dynamics of CP4-EPSPS protein and used to estimate the time required for 50% degradation (DT50) and for 90% degradation (DT90).
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In addition to the multiple linear regression model, a mixed effects model (Model LME) and transition (autoregressive) models of different orders are fitted to the training data set.
Parameters from two kinetic models, pseudo-first-order and pseudo-second-order, were fit to experimental data to examine the adsorption kinetics of cadmium II) and Pb II) uptake by FL.
Parameters from two kinetic models, pseudo-first-order and pseudo-second-order, were fit to experimental data to examine the biosorption kinetics of Cu II), Ni II), Zn II) and Pb II) ions uptake onto Sjp.
In order to better understand the adsorption behaviors, parameters from two commonly used kinetic models, namely, the pseudo-first-order and the pseudo-second-order, were fit to experimental data to examine the adsorption kinetics of three estrogens uptake by Nylon 6 nanofibers mat.
A fifth order polynomial was fitted to the crop coefficient using the 2015 data.
Per subject and binning variable (entropy / phase similarity), a first order polynomial was fitted to the logit-transformed probabilities across all four bins.
A vector autoregressive model of order 3 was fitted, and all statistically significant elements of the estimated coefficients matrices were inspected.
A second-order polynomial was fitted to data and validated by ANOVA.
A second-order polynomial was fitted to data and validated by analysis of variance.
A complete second-order model was fitted to the experimental data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com