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The data used for fitting was the minimum amount of data (beginning with cycle 1) that resulted in a nonlinear fit of the data.
The activity onset time detected with this method changed only marginally when the length of the intervals containing the silent-active transition, which were used for fitting was changed, thus showing that detection of onset time was robust (Fig. S1).
The equation used for fitting was: 3where yf and mf are the intercept and slope of the urea dependence of [θ222]MRE for the fully folded protein, y u and mu are the corresponding intercept and slope of the fully unfolded protein, Δ GH2O is the free energy of unfolding at zero urea, m is the slope of the unfolding transition region, R is the molar gas constant, and T is absolute temperature.
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Unfortunately, the models they bring out for fitting are running a video loop, not a Watch OS demo.
The C A0 values corresponding to different molar ratios used for fitting are given in the Table 5.
The equation used for fitting is I D I G = a e − σ 1 ϕ + b 1 − e − σ 2 ϕ (1).
Decisions on the model used for fitting were made on a case-by-case basis.
To account for possible nonstationarities in responses, the subsets of data used for fitting were drawn randomly from periods of time distributed throughout the duration of the experiment.
The emission spectra I 620 λ and I 634 λ (Fig. 1(a) ) used for fitting were measured in vitro with the PpIX solution described in the preceding section.
The data for substances not used for the fitting could be estimated with an average absolute error of 4.99% (the error for substances used for parameter fitting was only 1.21%).
X-ray lines were fitted using the Hypermet function and a model for background fitting was chosen as a tenth order polynomial for an exponential background model.
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