Sentence examples for overcoming pitfalls from inspiring English sources

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The use of genetically modified islets is a potential strategy for overcoming pitfalls that currently plague islet transplantation.

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By fulfilling the minimum requirements for a quality start, going six innings and allowing three runs, Nova reinforced the Yankees' belief that their offense and relief corps are enough to overcome rotation pitfalls.

Short of taking Sam Snead's legendary advice to "take two weeks off and quit," or going through the difficult process of learning to switch-putt from the other side of the ball, there is hope for amateurs seeking to overcome the pitfalls of the left-to-righter.

Once you embrace the possibility of failure, you will find out that not all is lost — building a strong relationship with your customers will help you overcome any pitfalls as they arise (and they will).

As many traditionally used visual incarnations of evolutionary trees can unwittingly misrepresent evolutionary relationships (top-right placement of humans, vertical upward orientated diagrams), today's biologists are devising new ways to overcome these pitfalls.

A Lagrangian diagnostic was developed to overcome the pitfalls of traditional Eulerian analysis techniques when applied to cellular flame systems, including the lack of a well-defined measure of "flame progress" and the time-dependent strain and curvature fields that evolve at scales that are faster than the residence time in the flame zone.

In this respect we have shown that a relaxed interpretation may overcome the pitfalls of a strict reconciliation algorithm.

Association studies in the normal population designed to detect these effects are limited by the large sample sizes required to overcome the pitfalls of multiple testing.

It may be that inferential processing based on additional contextual or social information present in the environment could help children with ASD to overcome the pitfalls of an object-based intention guessing mechanism.

We overcame these pitfalls with a relatively large sample size of fresh tumor and non-tumor lung tissues, detailed covariate information (e.g., sex, age, stage, previous lung diseases or chemotherapy), biochemical validation of the smoking status, and confirmation of the main findings in independent tissue samples.

To overcome the pitfalls of manual annotation, some attempts have been made to generate annotations using text-mining techniques (5 7).

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