Sentence examples for opportunity for misinterpretation from inspiring English sources

Bernard Meyerson, IBM Fellow and chief technologist for the company's systems and technology group, foresees a whole new opportunity for misinterpretation.

"Pain limited to the region between the lower margins of the 12th rib and the gluteal folds" was a definition which appeared to be the most complete and thorough, leaving no opportunity for misinterpretation [ 38].

However, this use of the term CE does not refer to the phenomenon of CE that we are discussing in this paper (see note b, above), creating an opportunity for misinterpretation of the drug's effects and applications if studies on CE in a clinical population are confounded with studies of CE which specify a "healthy" population.

The absence of cultural difference between the interviewing author and Arabic-speaking interviewees helped to obtain participants' opinions in a permissive, non-threatening environment and delivering questions in a very clear and cultural-appropriate language with little opportunity for misinterpretation by participants or interviewer.

"I could see how the opportunities for misinterpretation abounded -- both between the two of us and among our friends".

"In a situation like this there are a lot of opportunities for misinterpretation, and the only way we can clarify any misunderstandings is having direct meetings and dialogue with those most affected," he said.

There is a chance for misinterpretation when there is only one object.

Mounting pressures to make all clinical trial information available and all databases accessible to everyone will introduce opportunities for further misinterpretation.

Furthermore, because of a lack of informal communication there were few opportunities to correct for misinterpretations of the feedback that had been given.

Graham writes, in the no-room-for-misinterpretation version, "economic inequality per se is not bad".

Finally, in our effort to better understand our dataset we employed well accepted but complex techniques of multivariable modeling which themselves can introduce opportunities for error or misinterpretation.