Your English writing platform
Discover LudwigExact(2)
The Hill approximation indicated that the low c′ and c44 values caused by softening gave rise to the low Young's modulus, which is common to some Ti Nb-based alloys wiTi Nb-basedalloysf ∼4.24.
The effective diffusivity estimated using Vermeulen's approximation indicated that the interactions between arsenic ions (either As III) or As V)) and GAC/MnFe2O4 composite were chemical in nature.
Similar(58)
Accurate electronic structure calculations based on the Heyd, Scuseria, and Ernzerhof approach and GW approximation indicate that the h-carbon is a semiconducting material with a band gap of 2.20 2.56 eV.
In general, items had high loadings on their own factors and the comparative fit indices were high, but for the majority of the scales, the root means square error of approximation indicated that a simple unidimensional model was not fitting the data sufficiently well.
However, the Root Mean Square Error of Approximation indicated that there is still about 10% of variance unexplained in the model (RMSEA = .10) [ 7- 11].> -wrap-foot> Note.
An analysis by the Hill approximation indicates that low c′ and c44 caused the low Young's modulus, and thus it is probable that the softening in c′ and c44 is the origin of the low Young's modulus.
Comparisons between explicit spatial simulations and the mean-field approximation indicate that coexistence occurs over a broader region in the explicit spatial simulation.
Our in-depth analysis of both approximations indicates that they in fact provide smart and efficient rationalizations of the currently known intermediate rare earth oxides structures.
The statistical results indicated that estimated statures were in good approximation with true statures.
P values greater than 0.05 and an adjusted goodness-of-fit (AGFI) greater than 0.90 with a root mean square error of approximation (RMSEA) of 0.05 (0.08) or less indicated that the model adequately described the observed data.
If the SEM resulted in a p value greater than 0.05, an adjusted goodness-of-fit index (AGFI) greater than 0.9, and a root mean square error of approximation (RMSEA) less than 0.08, this indicated that the null model corresponded to the real structure.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com