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Predictions using this methodology compare well with experimental results.
The predictions using this theory compare favorably well with the measured intensity field.
Predictions using this equation are shown to be in good agreement with experimental results for the average consolidation ratio.
For random distributions of waviness, the predictions using this engineering approach are in good agreement with the direct calculations of strength using the finite element method.
The composition predictions using this method is compared with partial least square (PLS) and regression analysis (RA) methods to show its superiority over these other conventional methods.
It is also shown that predictions using this expression are in close agreement with those from an empirical expression previously proposed by the autho.
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The accuracy of crack depth prediction using this method has been verified by fractography of fatigue cracked rods.
This surprising result gave us a unique and attractive opportunity to test the state of the art in protein structure prediction, using this artificial protein free of any natural selection.
The position error in the one-hour prediction using this strategy is less than 47 m using the 1.5 h data to determine the orbit, and the residual RMS divergences of GNSS and range measurement are reduced by 96%and67%7%, respectively.
Since BBMH only finds one-to-one (1/1) relationships, ortholog prediction using this method is obviously underestimated.
The accuracy of class prediction using this gene set was estimated to be 85% by leave-one-out cross-validation of human samples.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com