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Fig. 8. (a) Differences between the coefficients of POMME-3 model and our model I computed from data uniformly distributed in local times.
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A single value of (P 0(i), U UL (i)) is computed from all sub-optimal solutions involving cell i, where cell i is either source or target in the adjacency, i.e., (P 0 i,j), U UL (i,j)) and (P 0 l,i), U UL (l,i)).
Hence, the lower value θ n, i - Δ L n, i is computed from f(θ n, i - Δ L n, i ) = 1.2 * RMS n and the upper value θ n, i + Δ U n, i is computed from f(θ n, i + Δ U n, i ) = 1.2 * RMS n, where RMS is the original RMS value of the fit obtained from the optimization and f denotes the cost function, n denotes the solution number and i the parameter index.
The coefficients c ˜ s = ∑ i = 1.. k c f i m b ˜ i are computed from initial data: they are equal to the total initial mass carried by vertices of V m (when these are glued cycles we consider the total initial mass of the cycle) that are attracted by A f i m.
The objective sharpness metric for any correspondence block B i was computed from Equation (4): S i = 1 ( M - b ) 2 ∑ j > b / 2 j < ( M - b / 2 ) ∑ k > b / 2 k < ( M - b / 2 ) x j, k 2 (4).
At each iteration i ∈ {1,..., m}, the generators E(K i ) are computed from the analysis of rays in E(K i - 1) in three steps.
The belief function for cell c i is computed from the combined bbms using (3), which gives bel i { A } = κ · m i ( A ) (13a) bel i { B } = κ · m i ( B ) (13b).
The coancestry of individuals i, j, computed from this extended pedigree, is equal to f i, j FM.
The coancestry of individuals i, j, computed from this extended pedigree is equal to f i, j M. Equality holds only approximately because only a finite number of generations of selfing was added.
In the second step, the relative weight (W i ) is computed from the following equation: W_{i} = w_{i} /sumlimits_{i = 1}^{n} {w_{i} },where, W i is the relative weight, w i is the weight of each parameter and n is the number of parameters.
For the F-FTHA study, the muscle (vastus lateralis, biceps femoris) to plasma transfer rate constant (K i ) was computed from a Patlak graphical analysis (Fig. 5), yielding the following values: AIF from the plasma samples (K i =0.076±0.035 mIDIF), IDIF corrected for the PVE and the spillover from the muscle (K i =0.074±0.031 min−1) and uncorrected IDIF (K i =0.102±0.044 min−1).
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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