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For each SNP, a linear regression, using the genotype as an additive covariate and standardized BMD as the response, was fitted to test for association.
The creep response was fit with a linear viscoelastic model.
The prediction of the effect of relative density on modulus correlated well with the DMA data, and the compressive response was fit to each compression curve.
The complete neuromuscular response was fitted to time by using the SigmaPlot 4.01 (SPSS México, Mexico City, Mexico) for Windows™ 95, and b and t50 were computed by iteration.
To investigate this further, the spectral photocurrent response is fit using two Gaussian components made up of the broad-band photocurrent (300 475 nm) and narrow exciton photocurrent at 521 nm.
The results were analyzed statistically and correlations for each response were fit.
The response is fitted to an analytical function (carrier function), and the values of parameters obtained in the fit are applied to the expression of analytical Laplace transformation of this function.
The model response is fitted best to the data with a gradient-based optimisation strategy, requiring the sensitivity analysis of the micromechanical model.
Therefore, the highest and lowest stress response were fitted to the model proposed.
The results obtained after measuring the responses were fitted as a two variable second order equation and the corresponding contour plots were plotted and analyzed.
To suggest a model for the photo degradation process, the responses were fitted with a quadratic model.
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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