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As a first result, Kalman filter based methods are able to provide instantaneous estimations which are promising result in wide area protection field and synchrophasor application (P M U).
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While the ceiling view based method is able to overcome these shortcomings.
Spatio-temporal motion-based methods are able to better capture both spatial and temporal information of gait motion.
The machine learning-based methods are able to make the mining algorithms and relevant platforms smarter or reduce the redundant computation costs.
That is why optical-based methods are able to separate the contribution of tunneling effects to the properties of Au nanostructures, which cannot be omitted during electrical measurements of discontinuous metal layers.
Although annotation-based methods are able to prioritize important cancer pathways, they present some limitations.
On the other hand, model-based methods are able to identify evolving patient-specific parameters and tailor therapy appropriately.
Furthermore, correlation between empirical and LD-based recombination estimates at approximately 20-kb intervals combined with simulations of very fine scale recombination variation indicates that LD-based methods are able to accurately detect very fine scale variation (supplementary fig. S13, Supplementary Material online).
However, traditional SIFT based methods are not able to obtain satisfactory results in some cases.
We believe that a correlation coefficient should not be used in this study as the information that the BASE method is able to uncover is mainly contained at the extremities of the e i values (i.e. most differentially expressed genes); hence a correlation coefficient for the entire range of e i values would not be significant.
The result of the present study suggest that the vinegar based washing methods are able to reduce faecal coliform towards low level while the physical washing with running water may help to substantially decrease potential risk of helminth parasitic infections.
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