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Crop models are successful in predicting the impact of environmental changes on crop productivity.
The present DCSE calculations are successful in predicting the lift-off heights and reproducing many aspects of the flame structure in agreement with the experimental observations.
Previous research has demonstrated convincingly that several theories are successful in predicting a wide range of health behaviors [ 10, 11].
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Both techniques were successful in predicting the ratio.
Overall, the model was successful in predicting some of the major features observed in the experiments.
Filling-in models were successful in predicting psychophysical data for brightness perception.
The GNM has been successful in predicting atomic fluctuations around an energy minimum.
The models developed were successful in predicting blend homogeneity of independent blend samples under different processing conditions.
However, few models have been successful in predicting the water temperatures of wetlands that have significant vegetation coverage.
SOCRATES was successful in predicting SOC change at eighteen long-term crop, pasture and forestry trials from North America, Europe and Australasia.
Nevertheless, the two-scale analysis is found to be successful in predicting the indentation load-displacement relation and the macroscopic localization direction in honeycomb blocks.
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