Sentence examples for study of bottlenecks from inspiring English sources

In a study of bottlenecks in the recruitment process in Tanzania, Martineau [ 19] identified complex, long and bureaucratic personnel deployment processes as one reason for delays and sometimes failure to recruit health workers in hard-to-staff parts of the country.

The new approaches, which were put into use yesterday, were devised after a study of seven bottlenecks identified by the F.A.A. in October 2000 within the New York-Chicago-Washington region, said James Peters, an agency spokesman.

A deep study of the performance, bottlenecks and design challenges is carried out showing the validity of this approach and achieving very high frame per second rates.

For studies of small bottleneck in vitro passages, we maintained twelve lineages each of 67:20 and 67:21 with a limit of one single-cell colony in each transfer.

A comprehensive analysis of molecular studies showed that conventional expectations of bottlenecks and reduced genetic variability for introduced populations do not always hold true for aquatic NIS, with only around 37% of studies reporting a significant loss of genetic variation in introduced populations [16].

They also suggest that the case study analysis may reflect the impact of bottlenecks that can be addressed in the long run.

Although it was outside of the immediate goal of this study, the bottleneck created by interspecific hybridization in the evolution of tall fescues seems a reasonable assumption.

There are several bottlenecks in the study of membrane proteins.

One of the major bottlenecks in the study of MPs is the difficulty in obtaining sufficient amounts of homogeneous protein.

Finally, we note that the development of a single set of capture probes for a pathogen of interest will enable generation of pathogen WGS directly from vector and host samples (whether human, animal reservoir, or both), enabling study of host specificity and potential transmission bottlenecks.

Recent benchmarking studies confirmed that transcription factor binding sites (TFBS) prediction based on statistical motif discovery approaches is unreliable and thus remains a major bottleneck in the study of transcriptional regulatory regions [1], [2].