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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).
We show that lower NPP values were modelled when using ECMWF data as an input compared to ZAMG data.
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Although favourable COE were recorded from some of the modelled scenarios, results indicated that NPV and IRR were not encouraging when using a €0.20/kWh tariff.
We demonstrate, via simulation results, that the distributed systems when the clutter is modelled as positive alpha-stable distribution offer robustness properties against multiple target situations especially when using the "OR" fusion rule.
When using the reallocated ZAMG data of [32] for BETHY/DLR combined with CORINE as land cover an overestimation of the modelled NPP of about 15% (Figure 2B) has been found.
When using the reallocated ZAMG data of [ 32] for BETHY/DLR combined with CORINE as land cover an overestimation of the modelled NPP of about 15% has been found.
As this variable has been identified as important in previous studies [ 15, 27], and significantly impacted on collaboration when modelled using Sample 1 data, it should not be disregarded but may be worth investigating in future research.
When modelled using multiple data sources, these systems provide a good estimate of seasonal influenza dynamics, but they are hindered by unavoidable presentation bias, limiting the ability to capture the full spectrum of disease across a population [ 10], and in particular the burden of influenza annually, which has been highlighted as a key influenza surveillance objective [ 2, 3].
When this association was modelled graphically, using quintiles of birth weight, the association appeared to be largely driven by those at the lower end of the birth weight spectrum (Figure 2).
We modelled odds of receiving veterinary treatment when diseased, using two-level logistic regression models for cows and young animals (calves and heifers), respectively.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com