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Laterolog response is affected by invasion time, saturation, permeability, porosity, and oil-viscosity.
A model of dynamic dual-laterolog responses is suggested by considering the invasion time effect and is solved numerically.
It is found that the filtration velocity in a linear flow system depends on overbalance pressure, formation permeability, mud cake characteristics (porosity, permeability and density), and invasion time.
With this, corrections for small kernels were found that decreased overall kernel error to <10−11 and invasion time error to <5%.
In this paper, the exponential water saturation relationships between water saturation and invasion time as well as the calculation algorithm of connate water saturation using the new dynamic response equation have been given.
For each invading subclade, 2 time points that bracket the most parsimonious invasion time were estimated.
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With Gaussian kernels that had σ ≤ 0.12 using the cell integration method, or σ ≤ 0.22 using the cell center method, the kernel error was greater than 10%, which resulted in invasion times that were orders of magnitude different than theoretical results.
Fig. 1D shows that at these short invasion times GF120918, treatment promoted both parasite adhesion and invasion compared with control cells.
Upon close inspection of the intergenic lncRNA expression profiles shown in Fig. 3B, we noted that a subset of intergenic lncRNAs strongly peaked in expression during the 48 hpi invasion time-point.
The invasion time-course data were visualized using plots of the natural log of the invader to resident ratio over time; selection rate constants were analysed in a three-way anova.
The IM and direct count approaches both suggest similar invasion times for the two groups if treated separately (see above).
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