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The future research effort should thus focus on to develop predicting models of thermal conductivity for nanofluids.
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The theory we develop predicts dengue vaccine clinical trial data well.
ULEM exploitation allows one to develop predicted error covariance at single points and full covariance among multiple points.
The dynamic model developed predicts the plant mass and evapotranspiration rate throughout the year.
The kinetic sequences developed predict satisfactorily conversion and products yields for ethane and propane oxidative dehydrogenation.
It is therefore important to develop tools predicting estrogenicity and also potential to elicit sustained responses.
It is highly important to develop tools predicting unfavorable postoperative outcome.
Regression models were developed for predicting weld characteristics.
Correlation is also developed for predicting the axial dispersion coefficient.
It has developed for predicting the potency of the clinically used compound.
This is consistent with previous models developed for predicting Site Index.
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