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The themes from the qualitative in-depth interviews were examined using Ruiz et al.'s [16] service value model, and helped understand how the components of the model were suitable in different services context.
To make sure that the parameters of hidden Markov model were suitable for all the high-throughput dataset of WTCCC, we developed a training program to calculate these parameters.
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Therefore, the classic model is suitable for linear patterns.
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The resulting model is suitable for long-term climate simulations.
Whether this teaching model is suitable for them.
This model is suitable for designing a moment-resisting frame.
The model is suitable for high concentration of salts.
Our model is suitable to perform segmentation under such circumstances.
Our descriptive model was suitable for our objective.
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