Sentence examples for level of mismatch from inspiring English sources

The average of the selected models, which have a low level of mismatch with the observed data, is used for regeneration of facies models as facies-probability map.

The results indicated a considerable mismatch between body dimensions of the students and the existing classroom furniture, with seat height (60.9%), seat width (54.7%) and desktop height (51.7%) being the furniture dimensions with a higher level of mismatch.

Localities showing a high level of mismatch are therefore referred as coldspots to denote a low potential for coevolution.

Green's work (1999) was one of the first to suggest that comparing the distribution of intended occupations with actual occupational attainments would make it possible to approximate the level of mismatch for immigrants in Canada.

Some level of mismatch is expected as individuals look for a job that fits their skills and interests and as economies shift in the types and levels of skill in demand in the labour market.

Although Green did not pursue this in his study, he pointed out that comparing the distribution of intended occupations with the actual occupational attainments would make it possible to approximate the level of mismatch in Canada.

The assembly program [11] was accordingly modified to accept a specified level of mismatches in overlapping sequences (details in Materials and Methods and in Text S1).

However, target prediction is very challenging, especially when a high level of mismatches exists in miRNA:target pairing [ 49].

However, it is difficult to conclude from the likelihoods or mean distances that any one level of mismatches produced a more realistic phylogeny than did the others.

OrthoCluster can identify "perfect segmental duplications"–duplications containing no mismatches, "imperfect segmental duplications"–duplications containing a certain level of mismatches (genetic interruptions), as well as synteny blocks among multiple genomes [ 18].

Up to this level of mismatches, GSNAP is an exhaustive algorithm, meaning that it can guarantee to identify and report all available alignments in the genome with that many mismatches.