Sentence examples for mixing model with from inspiring English sources

When we consider a mixing model with four components (end members) including SW, freshwater derived from CMD, SPF, and freshwater derived from MH dissociation, several solutions are possible.

4) Despite the considerations of these effects on canopy reflectance, the inversion of the nonlinear spectral mixing model with subcanopy reflectance (field) measurements yielded slightly lower accuracy (73%) than the linear counterpart (77%).

For a single-zone autoclave reactor, the effect of imperfect mixing in the reactor is analyzed using both an imperfect mixing model and a perfect mixing model with temperature variant initiator-efficiency factor.

Alternatively, a simple binary mixing model, with one water source recharging before1940 and the other after 1940, indicated that 14 samples (78% of samples) contained young water that recharged the aquifer between the mid-1970s mid-1980s980s.

In these circumstances, the optimal strategy may differ from that indicated by a homogenous mixing model, with higher dose, low-coverage strategies becoming more favorable.

For instance, the frequently cited initial estimate for H1N1-2009 is R = 1.40 [8], and the final size equation of any homogeneously mixing model (with an initially fully susceptible population) predicts that 51.1% of the population would experience infection by the end of the epidemic (see next section).

A linear two-sources mixing model [ 60], with mean δC values of autotrophs and MH plants as references, suggests that 82% of its C was of fungal origin (significantly different from zero based on 95% confidence intervals).

We note here that the CLR transform method can be used in mixing models with or without individual variability.

Previous tests of Van Valen's [5] niche variation hypothesis have used morphological measurements or resource use [26]; our hierarchical models allow a quantitative evaluation of this hypothesis using mixing models with stable isotope data.

In regard to the prevalence of acute confusion in the ICU assessed with the CAM-ICU (t0 through t2) a mixed effects logistic regression model (Generalized Linear Mixed Model with Penalized Quasi-Likelihood Estimation) using our basic model did not converge.

The effect of becoming obese superimposed on prenatal undernutrition was assessed as a General Linear Mixed Model with repeated measures (i.e. data when lean and obese).