However, since they found a hypocorrection with this method, they suggest modifying the result utilizing also the preoperative refractive error.
However, since they found a hypocorrection with this method, they suggest modifying the result taking into account the preoperative refractive error.
Latkany et al. [ 61] suggested different methods; among these they suggested to use the flattest keratometry value to calculate the IOL power, together with the SRK-T formula: (23) IOL implanted = IOL calc − (0.47 x + 0.85 ), where x is preoperative refractive error.
The results are compared to the values of power system reliability indices previously obtained using standard power engineering methods, and they suggest that scale-free network models are usable to estimate aggregate electric grid reliability.
They suggested a method to select the neighboring node with maximum signal strength for data transmission.
They suggested a method based on position, amplitude, and duration that could track saccade movement with high accuracy.
Using a high order moment method in a compact interval, they suggested to reconstruct the number density function (NDF) by entropy maximization, which leads to a unique and realizable NDF, potentially in several size intervals, thus leading to an hybrid method between Multifluid and high order.
The methods they employ suggest a great deal of thought has been given to suffering.
The results of this analysis are not limited to inventions of new methods; they also suggest that increases in the MCPR may occur by simply widening geographic access to more of the existing methods.
While these results demonstrate considerable consistency between induction measured by short-read sequencing of oligo dT) primed, double-stranded cDNA and induction measured by traditional microarray methods, they also suggest that higher depth of coverage may be needed to accurately assay weakly induced genes.
