Sentence examples for correctly accurate from inspiring English sources

Exact(1)

Current modelling techniques can struggle to mesh correctly accurate unit cell models and apply the complex but necessary periodic boundary conditions required, often with sacrifices made in idealisation of the weave architecture.

Similar(59)

To ensure the rescuing work timely and correctly executed, accurate live information (e.g., in the format of videos) is needed by the commanding headquarter.

In summary, the extensive and worldwide use of WBGT provides a basis for a first and rough estimation of the nature and significance of heat stress provided measurements are made correctly with accurate instruments.

In order for the divorce petition to be processed smoothly, it's important that the forms be filled out correctly with accurate information.

Employers had serious concerns about employees' inability to write in sentences, spell correctly or use accurate grammar, or spot simple numerical errors.

From 1967 (the first Super Bowl) through 1997, it was uncannily accurate, correctly predicting the broad market trend for 28 of the 31 years.

Finally, once installed, would the computer operate correctly and give accurate answers.

Statement 5 ('Evolution cannot be considered a reliable explanation because evolution is only a theory') found that a somewhat lower percentage (72.3%, n = 55) correctly related the accurate definition of a scientific theory to the theory of evolution.

MacSpeech Dictate is fast and accurate, pouring correctly transcribed text into any program where you ordinarily type, as fast as you can speak.

If the San Diego model is more accurate — say, correctly guessing that a region uses 900 megawatts of electricity on a hot summer day instead of 1,000 — "then that's some money" that will be saved by ratepayers, said Jim Blatchford, the smart grid solutions manager.

We noted that most methods are more accurate in correctly classifying positive than negative text, suggesting that current approaches tend to be biased in their analysis towards positivity.

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