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An XPS full scan of the as-grown sample proves that the growth of graphene on silicon is a complete, metal-free process without any metal contaminants (Fig. S2).
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Importantly, the detection of two novel miRNAs, showing only 1 3 reads in either sample proves that these single reads are not mere sequencing errors, but rather very low abundant novel miRNAs.
The results obtained at 500 MHz in a 50 μl sample prove that the Z coil can cope with salt concentrations that are one order of magnitude higher than in traditional solenoidal coils.
Surface-enhanced resonance Raman scattering (SERRS) measurements in combination with AC and EIS, performed on the same electrode sample, proved that the CYP2D6 is immobilized on the HBM without evident alterations of its active site and without significant perturbations of the bilayer architecture.
The comparison of the experimental rates of reaction for initially homogeneous samples and bi-layer unpremixed samples proved that the reaction was diffusion controlled.
Furthermore, the visual examination on drop-weight test samples proved that the impact resistance of the silk reinforced composite was better than that of the pristine sample as well.
Enrichment factors analysis of the soil samples proved that the soil in the brownfield sites was highly enriched with copper, cadmium, lead, zinc, arsenic and nickel relative to background values.
Moreover, no amorphous material was found in the three samples, proving that the IM-5-C, IM-5-S, and IM-5-M zeolites had a high crystallinity.
However, the ratings for the (MUL) and the (SAV) samples prove that the technique used to synchronize the two separately synthesized modes is capable to successfully align the two signals.
After calculation, the similar δ values of the RGO-ER and RGO-3DGNs-ER samples prove that the added RGO nanosheets are loaded on the surface of the 3DGNs (Fig. 4).
The results of a Welch t-test for unequal variance samples proved that the average technical efficiency score (VRS) of the sample of 200 households was significantly different to that of the sample of 1,000; the scores coming out at 0.745 and 0.650 respectively (Additional file 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