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Since temporal dynamics are an integral part of hydrologic systems, especially from the perspective of time series analysis for modeling and prediction, studying the suitability of complex networks for temporal connections is crucial.
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Therefore we cannot compare the developed predictive model with previous prediction studies.
The prediction studies used the expression patterns of target neurons to predict their connectivity with a particular source neuron.
Design: Validation cohort prediction study.
Thus, these datasets are suitable for our neighborhood prediction study.
A more recent prediction study found similar results.
This is deemed an important prerequisite for future prediction studies.
The results of prediction studies conducted after Graham (1987) remain inconsistent.
Using this prototype several performance prediction studies of Cloud-based parallel simulations were done [54, 137].
Nevertheless, GPA remains the most commonly used indicator for academic success in prediction studies.
In silico ADMET prediction studies on these hits were also found to be promising.
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