Sentence examples for modeled by multiplying from inspiring English sources

Last, irregularities in the elongation of the vocal cords have been modeled by multiplying the glottal length l g (cf. Figure 1) by a variable factor, while correcting the dimensions of the vocal fold elements in order to keep their mass constant during simulations: l_{mathrm{g}}, (t) = l_{mathrm{g}0} cdot (1 + l (t)) (4).

(17 where ΔPM,i[k] and ΔPM,i[k+1] denote the power mismatch of agent i at iteration k and k+1, respectively; σLoss,i is the power transmission loss weighting, typically about 5%~7% of the total load [29], so the transmission loss is modeled by multiplying the load demand by a weighting.

Several open LCCs were modeled by multiplying the source amplitude by the number of open channels.

The linear pSTAT5-mediated upregulation of IL-2Rα is modeled by multiplying the fraction of phosphorylated STAT5 per cell by the maximum mode of IL-2Rα per cell (Cotari et al., 2013).

For instance, 90% inhibition of the EGF-EGFR signaling complex's auto-phosphorylation process by tyrosine kinase inhibitors is modeled by multiplying the v3 forward reaction rate in the model by 0.1.

In particular, we calculated the above criteria under two conditions: (i) diminished degradation modeled by multiplying the pNdegGCSF and NdegGCSF species by a percent inhibition; or (ii) enhanced binding modeled by increasing the minimal value of the boundGCSF species.

Then, the ideal hysteretic model is transformed into an expected linear model by multiplying a slope conversion factor which can be obtained by experiment.

Given the knowledge of the background statistics, we can transform the background and sensor noise model Φ b i + w i ∼ N ( 0, Φ Σ b Φ T + σ 2 I ) discussed in (1) to a simple white Gaussian noise model by multiplying the observations zi, i∈{1,…,M}, by the whitening filterC Φ ≜(Φ ΣbΦT + σ2I −1/2.

The score was derived from the final model by multiplying the regression coefficients by a factor of 10.

We accounted for mortality improvements in our modelling by multiplying fitted values of λO and γ, the two parameters in the other-cause mortality function, by values informed through the single-risk Weibull modelling of simulated life table survival data.

The determination of the numerical value of the QALY associated with each of these points is carried out, according to the multiplicative model, by multiplying the value of the sides meeting at the vertex formed by these points.