Sentence examples for basis could lead from inspiring English sources

Exact(3)

Errors (of different types) which may have occurred on a simultaneous basis could lead to a similar effect on fertility (Schoumaker 2014) or an offset (National Research Council 2004; Shryock et al. 1976).

An election conducted on this basis could lead to turbulence on election day and possibly an extended period of lawsuits contesting the outcome in various states.

Even a very expensive diagnostic tool would save a lot of lives, Cars says, and it would also save antibiotics for clinical use: rapid tests used on a daily basis could lead to hospital practices that save time and money while conserving antibiotics for treatment.

Similar(57)

They say this year's G8 pledge to cut global emissions 50% by 2050, in an effort to limit global warming to 2C, has no scientific basis and could lead to "dangerously misguided" policies.

Using animal models of compulsive behaviors give much more possibilities to study the deficient functions and their underlying neural basis that could lead to pathological repetitive behaviors.

Skimping on sleep on a consistent basis sleep could lead to more serious psychological problems, such as anxiety disorders and depression.

Earlier Mr Stephens had said that Mr Assange would "certainly" oppose deportation on the basis that it could lead to him in turn being handed over to the US.

This is especially true in research into the dietary causes of obesity and Western diseases, where implicating the wrong cause and advocating widespread dietary changes on the basis of that could lead to a significant worsening of the epidemiological situation.

Overt transition of leprosy control to an outpatient basis could also lead to a similar outcome.

Investigations into the biological basis for these observations could lead to non-smoking-related therapies being developed to decrease the risk of CRC and colectomy in these patients.

However, it seems likely that a combination of both information sources as the basis of future classifiers could lead to increased robustness in the context of heterogeneous diseases and the inevitable noise associated with all measurements on clinical samples.

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