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Our results indicate that an appropriate combination of both methods can provide the best solution for receiver DCB estimation.
The reaction mechanism in both the FRAP and CUPRAC methods toward antioxidants is solely electron transfer, and therefore, both methods can provide insight into dominant reaction mechanisms of various antioxidants in a given sample matrix, thus providing a framework for reliable quantification of total antioxidant activity (Prior et al. 2005).
The CMCA approach and the SCA approach describe the distant allostery and mutative network in protein evolutionary family from different aspects (mutations and conservations), therefore both methods can provide useful information complementally.
Both methods can provide information about the vascularity of the lesion by using intravenous contrast.
In spite of this apparent limitation, both methods can provide a structural framework for a mechanistic understanding of molecular and cellular functions.
Following their application, functional genomic analyses are necessary to validate the function of any candidate sequences or alleles identified by the phylogenetic footprinting and shadowing methods; but even by themselves, both methods can provide valuable insights into the location of potential cis-regulatory sequences and the transcription factors that bind them.
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While both of these methods can provide useful information to help assess the functional effects of a polymorphism in humans, there are significant limitations to translating this work from the bench to the bedside.
Both MLS09 and SVD13 methods can provide satisfactory results in larger noise level estimation but they may notably overestimate small noise levels.
Both of these theoretical methods can provide a detailed structural explanation of the system under study; notably, they can provide an estimate of the contributions of specific residues and atoms to the free energy, as well as decomposition of energetic contributions from steric and electrostatic components, something that is difficult to achieve experimentally.
The RTA and PBA methods both have different advantages and also uncertainties and, therefore, integrating the methods can provide more accurate characterization of SRV parameters.
Intelligent and experienced use of critical path methods can provide information of great value.
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