Sentence examples for accommodate these challenges from inspiring English sources
The Belle II software system is designed to accommodate these challenges and to run on grid, cloud, and local resources around the world.
One solution is to remodel the space to accommodate these challenges.
Pertinent issues like consent and privacy remain the topic of debate [ 43], and consensus about the best approach to accommodate these challenges in research has not been reached.
To accommodate these challenges, we carried out a pre-study by conducting qualitative interviews of 1 2 hours' duration with a representative from each of the immigrant groups, as a starting point.
For example, a list of G genetic variants and E environmental exposures would result in G or E hypothesis tests in GWAS and EWAS, respectively; however, to screen the possible space of interactions would many more tests, equal to G times E. To accommodate these challenges, statistical methods have been developed to larger space of interactions (Thomas, 2010; Thomas et al., 2011).
The new challenge is to accommodate these small-sized renewable energy sources into existing power network.
The smart and articulate apologists for theism were easily able to accommodate the challenges materialist science throws at faith.
Thereby it expands crime signatures analysis to accommodate the challenges due to the different nature of the security interventions in residential properties compared to cars (Farrell et al. 2011b).
To accommodate the challenges inherent to mapping any land cover at widely varying scales, we compare size distributions of spatially contiguous land cover (rather than total area) for several global land cover products.
During the initial adhesion step, profound changes occur in membrane mechanical properties, which are of critical importance in implant integration, as the cell can accommodate the challenges of spreading and migration [ 3– 5].
They also highlighted the ability of PRICE to accommodate the challenges that are both intrinsic to such problems (complexity of datasets in terms of diversity of the source material) and that reflect current shortcomings of metagenomic data (unevenness of coverage, even across a single molecular species).
