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In coming up with this estimate, we find that, as more E. coli genomes are sequenced, the total estimated diversity increases, resulting in a steep increase in the estimate of the pan-genome total size, as shown in Figure 5.
In contrast, a slight increase in the estimate of the mean Emech, CM was seen.
For the younger age groups, choice of replacement for nondetectable concentrations results in nearly a 100% increase in the estimate of current median serum lipid concentrations.
In addition, the increase in the estimate of the covariance between paternal and maternal gametic effects was also of this magnitude.
Unlike many studies, we did not observe a significant association of number of sexual partners with HPV16 positivity, although there was a small increase in the estimate of risk in our data (Table 1).
There is a threefold increase in the estimate of the standardised effect size on the EQ-5D, from an ITT estimate of 0.13 to a CACE estimate of 0.36.
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It is observed that, for the range 0.025 0.15 of the stenosis height, the corresponding ranges of the percentage of increase in the estimates of the resistance to flow of the two-fluid Casson model and two-fluid Herschel-Bulkley model are 4.16 25.10 and 5.16 31.85, respectively.
It is found that for the range 0.025 0.15 of the stenosis height, the corresponding range of the percentage of increase in the estimates of the wall shear stress of the two-fluid Casson model and two-fluid Herschel-Bulkley model with are 5.45 42.16 and 7.43 59.89, respectively.
Further, it is observed that the difference between the estimates of the wall shear stress, resistance to flow, percentage of increase in the estimates of the wall shear stress, and resistance to flow of the two-fluid Casson model and two-fluid Herschel-bulkley model is substantial.
We observed a significant increase in the estimates of evolving HOMA-IR with increasing levels of oxLDL (P < 0.001) and a marginally significant association with F2Isop (P = 0.06).
This is due to the increased error in the estimate of the self-localizing node position, which causes poorer performance in the direction connecting every auxiliary node and the self-localizing node.
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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