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a Model F, b Model G, c Model H.
In the model, F B and F N are measured respectively in units of mmol/gDW/h and g/gDW/h or (h−1).
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Table 5 Trust model comparison Trust model FAΩ TDΩ F A 235 63% F B 201 48% F C 201 34%.
Mean fluorescence anisotropy values (3 or more measurements) were plotted against protein concentration and the curves fitted to a single-site binding model: F = F f + (F b − F f ).
Motivated by those results, here we use a linear model f(x) = mx + b + ε to characterize log-relations of the noise present in velocity-dependent measurements from trial to trial.
To use the correlation noise model of [6], the coefficients C F b k u, v need to be divided into the inlier cluster and outlier clusters.
If b k is the random variable in the model, and its distribution function is F b then the deterministic equivalent of chance constraint can be calculated as P a k j x j ≤ b k ≥ u k ⇔ P b k ≥ a k j x j ≥ u k ⇔ 1 - F b a k j x j ≥ u k ⇔ a k j x j ≤ F b - 1 1 - u k (2.3).
The model f(p(x i ) = l + b log (x i /t)) if x i > t (2) has been previously proposed together with a likelihood maximisation method for estimate the threshold and its confidence interval [ 1].
For the analysis of plasma samples, a two component model was used: (2) g total = (1 − f b ) g (τ ; τ free ) + f b g (τ ; τ bound ) Here g(τ; τ d) is the model of Eq. (1), f b is the fraction bound, τ free is the diffusion time of the free antibody and τ bound is the diffusion time of the antibody-vWF complex.
P-values were calculated for domains with an odds-ratio bigger than 1.5 using a binomial background model in which the number of successes, trials, and the success rate were F a, F b and F c / F d, respectively.
We propose the cost model f(M h, P t,B) to estimate the initial capacity C. Given a budget of B units, the cost model estimates the initial capacity C of VMs using time series [8] of similar tasks.
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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