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The model combines both long term and short term model.
The model combines the formulation of Masi, et al.
The model combines slip pattern analysis and dislocation theory.
The model combines separate descriptions of oxidation and storage.
The model combines traditional input output analysis with time-series analysis.
The model combines predictions from various in silico tools in a transparent and reproducible manner.
The model combines results of two independent models, offering greater accuracy.
The model combines the learning capabilities of neural networks with fuzzy control.
The model combines the Carhart atomic pair method with an original similarity measure.
The model combines a process flow-sheeting model and a separate process-integration model.
The model combines a frequency dependent and a density dependent force of infection for TB transmission.
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