Sentence examples for overcoming the problems with from inspiring English sources
(Ellis et al, 2007) Using Bayesian smoothing methods to estimate survival for each PCT will overcome many of these problems by borrowing and sharing data across areas overcoming the problems with areas with low incidence or few deaths.
One way of overcoming the problem with collection of blood samples in random drivers is to use oral fluid for drug screening in moving traffic.
He appeared confident that he would overcome the problems with a new economic policy, although he did not volunteer any details.
We were able to overcome the problems with the help of Professor Bruce Land, the TA's, Brian Johnson, Aditya Anchuri and our own hit and trial methods.
After a brief introduction about advantages and drawbacks of lithium alloy anodes and a chronological review of their development, principle concepts to overcome the problems with the dimensional stability of the metallic host materials will be presented.
Higher sensitivity of RT-PCR-ELISA detection using specific biotin-labelled probes offers the opportunity to eliminate strain specific nested PCR and to overcome the problems with contamination and false positive results.
To overcome the problems with viral vectors, a broad range of nonviral systems for gene delivery have been developed, including systems composed of cationic lipids (lipoplexes) and cationic polymers (polyplexes).
The probabilistic multiple hypotheses tracker (PMHT) [10, 11] assumes that the data association is an independent process to overcome the problems with the pruning.
Flow control devices (FCDs) are used to overcome the problems with uneven steam trap height, allowing for more aggressive production rates and less manipulation of subcool.
Although gamifying the use of such simulations can help overcome the problems with insufficient motivation and engagement, there is a lack of studies evaluating the effects of gamified simulation-based learning.
The present methodology for predicting the risk of drug markets aims to overcome the problems with other approaches by incorporating the spatial component of seizure data and drug prices to obtain the latent market structure.
