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The finite element method also needs a great amount of calculation which does not seem to be justified for simple silencer geometry.
This method also needs discretizing the continuous features.
Although the uniformity and pore-filling efficiency increased many folds compared to DC electrodeposition; however this method also needs modification of the barrier layer [16, 25 28].
Similar to the OAO method, the DAG method also needs to construct k k − 1)/2 binary classifiers and obtain the corresponding decision functions of these classifiers.
The method also needs to be carefully validated and readily transferred to a routine environment.
However, this method also needs specimens consisting mostly of cancer cells, significant operation time and skilful technicians who have intertechnician variability.
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Despite the evaluation conclusion that favored the All-or-Nothing method, *Schmitt et al. (2011) noted that an evaluation of scoring methods also needs to consider the purpose of the assessment.
The efficacy of these methods also needs to be validated in stored and fermented milk wherein proteolysis may give rise to GMP-like peptides.
Other methods also need to be formulated.
Some of these methods also need expensive pilot testing.
Neuroimaging computing models and methods also need to keep increasing the degree of automation, accuracy, reproducibility, and robustness, and eventually need to be integrated into the clinical workflow to facilitate clinical testing of the new neuroimaging biomarkers.
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