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However, positive beliefs and high aspirations play an additional and significant role in predicting better A-level outcomes.
Plot-related variables play a significant role in predicting adoption.
Computational methods have an important role in predicting transcription factor target gene genomewide.
Farming practices play an important role in predicting the unit VWC.
Geomorphologic studies play an important role in predicting the hydrological behavior of watersheds.
Prognostic plays a vital role in predicting RUL and optimizing machine usage in engineering practice [5].
Such theories play crucial role in predicting accurate deflections of micro- and nano-beam structures.
However, they may play a greater role in predicting more severely infested areas.
Baseline status and concurrent symptoms, measured as covariates, also played a significant role in predicting outcomes.
The trajectory change of depression plays an important role in predicting the severity of PIU.
In this work, data on traditional serum cardiac biomarkers and their role in predicting ACIC will be reviewed.
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