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Data are explained using known precipitation chemistry and kinetic effects.
Results of mutagenesis data are explained in context with the present three-dimensional structure.
Our time-resolved data are explained by intrinsic Auger and radiative recombination mechanisms as well as defect-related recombination and trapping.
Then, the renewable energies use for irrigation, tomatoes irrigation specifications and factors, namely, the soil, the climate, and the crops data are explained and detailed in depth.
The spectroscopic data are explained by the presence of a vanadium species in distorted octahedral co-ordination, composed of two V O T bonds with the framework, one bond with the vanadyl oxygen and three water molecules as ligands.
Next, we have fully examined how the focal mechanism data are explained by the estimated stress.
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Furthermore, updating based on new available data is explained based on a Bayesian approach.
The use of stationary wavelet transform to denoise the noise corrupted FRF data is explained.
The obtained TPD data were explained appropriately by considering several reaction pathways.
In each case, an unconventional behavior observed in experimental data is explained through numerical leaching simulations.
The percentage of variability in ants as explained by other sampling techniques was as follows: 60.0% of the variability in bait data was explained by pitfall trap data, while only 19.7% of the variability in pitfall trap data was explained by excavation data.
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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