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To recognize the relationships in the literatures, the pattern matching method has also been proposed for extracting information on protein-protein interaction from scientific literatures [12].
Within this context, the propensity score matching method has been used to reduce the bias induced by this incomplete matching 16.
However, neither definite inertia index nor inertia matching method has been proposed so far.
The performance of the velocity matching method has been evaluated by comparison to the conventional pressure matching method and through simulations with several non-uniform loudspeaker layouts.
If sufficient balance has not been achieved, the matching method has to be revised.
In consideration of the fact that the manual matching method has several problems, the symbols that completely matched the unrecognised symbols can be displayed in list format, so that the cartographer can choose the appropriate symbol to accomplish the matching and conversion.
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Principal component analysis (PCA) based pattern matching methods have been applied to process monitoring and fault detection.
Probability matching methods have been used to link together individual hospital records for each patient, thereby creating "linked" patient histories.
Propensity score matching methods have been found to account well for measured confounding.
In attempts to overcome the above limitations, various matching methods have been developed that use the features extracted from multiple sequence alignment (MSA) of the protein family sequences.
Propensity score matching methods have been found to account well for measured confounding 12 and using propensity score matching enabled us to eliminate differences between public and private patients for the maternal characteristics where information was available.
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