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Furthermore, Method 2, unlike Method 1A and 1B, neither yields negative and/or infinite eigenvalues for the auto-covariance function nor large inaccuracies.
It achieved significantly higher precision (85.66 %) at the cost of lower recall (37.71 %) but higher F-measure (44.37 %) than A. Furthermore, method R added social relationship attributes and achieved better performance than B in terms of recall (37.87 %) and F-measure (50.41 %).
Furthermore, method training and method variation between different technicians is greatly reduced, as well as the risk for error during protocol execution.
Furthermore, method performance was carefully monitored using multiple internal standards (5 to 10 depending on method, including analogues, 2H and 13C labeled metabolites) and duplicate analysis of samples.
Furthermore, method development is crucial and can be elaborate.
Furthermore, method of fitness assessment was not statistically significant in the survival models.
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Furthermore, methods to measure the strength of the bonded joints are also very important.
Furthermore, methods for ensuring the resilience of the cluster and load balancing of processing were specified.
Furthermore, methods based on wavelet per packet transform are more effective than algorithms employing discrete WT.
Furthermore, methods to improve the performance of the QD-EAM are proposed.
Furthermore, methods to transfer the atlas information to patient data sets are presented and evaluated.
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