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Although using all the data generated by the exon pilot project has reasonable power to detect association of low frequency variants under the dominant, additive and multiplicative models with typical genotype relative risks, the power of the potential Pilot 14 M array to detect association of low frequency variants is low.
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The five parameters of the network model, with typical range of values, are presented in Table 1.
Numerical simulations were also conducted to compare the proposed model to the model with typical Coulomb's friction.
Particles formed via the BCCA model are less compact than those formed via the BPCA model, with typical porosities ranging from 92% to 99.9%.
The following codes show how an equivalence for the single machine model with typical steam turbine-governor model IEEEG1 is obtained.
We develop methods to facilitate practical application of the model to industrial decisions by a) enabling use of the model with typical data available to major companies and b) developing computationally efficient approximations that can be implemented easily.
The degree of the mobility change was consistent with a biphasic dimerization model with typical fast exchange kinetics, suggesting that the construct dimerized, as was the case for the original TectoRNA (Jaeger et al. 2001).
These results demonstrate that individual-based models parameterized with typical census data can incorporate individual variation and growth autocorrelation and realistically simulate tree growth and mortality.
Slight variations in the percentage error (mean values ranging from ±0.0 to 5.8%) and precision (mean values ranging from 17.5 to 21.7%) are overshadowed by the wide 95% limits of agreement observed for all the models investigated, with typical ranges of –50 to 50%.
The highest overestimation of NPP (32%) is modelled when using the GLC2000 and meteorological input data from ECMWF (Figure 2D). Figure 2D represents the results of both models with the typical setup which was used in previous investigations (default setup).
The highest overestimation of NPP (32%) is modelled when using the GLC2000 and meteorological input data from ECMWF. Figure 2D represents the results of both models with the typical setup which was used in previous investigations (default setup).
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