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When the two evaluations were compared we found a non-significant difference in IST and ISRT force values at baseline (IST 0.03; ISRT 0.02) and at 6 months (IST 0.02; ISRT 0.01).
When all three plasticizers are compared, we found that as time progressed, the albumin-glycerol plastics possessed the lowest onset degradation temperature, which may have been due to the increase of moisture in the plastic leading to destructurization (Figure 6d,e,f).
When these lists were compared, we found 8,405 genes shared by all four organisms constituting a large portion of genes identified in each organism.
When soft agar colony formation assay results were compared, we found that stable transfection of CSNK2A1P genes in NIH3T3 cells resulted in enhanced anchorage-independent growth (Figure 3C).
When the two alleles of the CSNK2A1P genes were compared, we found that the 398T allele formed more colonies than the 398C allele did.
When Tr and BCTr groups were compared, we found that when the task was learned, the number of BrdU-IR cells were significantly decreased [Tr = 340.5±15.21; BCTr = 490.9±18.9; p<0.001] (Figure 3D).
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When Fig. 6(a) and (b) are compared, we find that the twisted nematic and aligned configurations leads to the almost identical reflection spectra with the polarization direction swapped each other.
Finally, when both multilocus models are compared, we find that (nloci = 2; s = 0.69) as alternative hypothesis is highly significant (P = 0.0042), whereas the reverse model with (nloci = 3; s = 0.92) as alternative hypothesis is not (P = 0.34).
In fact, by comparing, we found that the "lower lips width" is poorly estimated especially when CLNF gives mistaken lips landmarks.
When we analyzed the sensitivity profile of these compounds with COMPARE, we found microtubule inhibitors were the top-ranked compounds, suggesting that these novel compounds might also be microtubule-targeting compounds (Table 2).
After computation and comparing, we find that when the sequence length is 7, the reconstruction error is the smallest.
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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