As described in the previous section, fluid-structure interaction methods greatly increase accuracy of simulations of AAA, leading potentially to more accurate surgical planning for clinicians.
The method greatly increased screening efficiency compared with conventional method.
This method of data collection, known as the strategy method, greatly increased our statistical power and afforded the necessary sample size of responses to low-probability events (e.g., generous intent paired with a stingy outcome).
Sudan black was used to remove endogenous autofluorescence due to lipofuscin (Fig. 11A); this method greatly increased the ability to distinguish between fluorescence related to the antibody signal and fluorescence caused by lipofuscin.
The HG method greatly increased the agreement between the array and BLAST detection strategies, which was critical for the phylogenetic analysis of the combined data.
The parametric method greatly increases the changeability and the reusability of the platform model, and concurrent design is well supported.
Nevertheless, tests by Interdigital show that the method greatly increases the throughput for users at the edge, without impacting on customers more deeply embedded within the conventional cells.
The pharmacophore filtering method greatly increases the likelihood that the best and/or most correct pose is selected from the set of docked poses, regardless of the numerical value of its docking score.
This method greatly increases the odds of both people leaving the conversation a slightly changed person.
This latter method greatly increases the number of crypt enterocytes analyzed, but no Cr VI -induced MN were observed.
