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The average recognition accuracy of unit saccadic signals achieved 99.0% (before sample optimization) and 99.57% (sample optimized) over 10 participants, which reveals that the proposed algorithm presents an excellent classification performance in saccadic signals recognition.
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We determined our optimal real-time concentrations for target and endogenous reference forward and reverse primers using the standard grid testing method as suggested by ABI (see "Additional Details Regarding Optimizing Real-Time Primers and Fluorogenic Probes Before their use with Experimental Samples: Optimization and validation tests performed on cDNA" section below for more details).
In order to determine saccade related independent components (SRICs) and improve the recognition accuracy, we also developed an automatic SRICs detection algorithm and sample optimization strategy.
It is interesting to note that the VSD of the hERG potassium channel has also been expressed in E. coli and subjected to NMR sample optimization, where lyso-myristoylphosphatidylglycerol (LMPG) micelles were found to yield the optimal NMR spectra.
A sample optimization result is presented to illustrate the procedure, and the final solution is translated into a physical embodiment having heterogeneous material properties.
The density of peaks in 3D cubes extracted from 4D N/ N separated NOESY experiments is actually expected to be comparable with that of a 3D-HNCACB experiment used for sequential backbone assignment, and prior sample optimizations performed to minimize (H N, N) overlaps are thus expected to be similar in both strategies.
Based on these features, MSIP provides a rapid method for the study of large numbers of samples and numerous variables such as ranges of cell lysate, side-by-side analysis of controls, replicate samples, optimization of reaction conditions, and different time points after treatment in the study of dynamics of PPIs.
To this respect, important methodological developments have taken place, including taxon sampling optimization (Wiens 2005; Paps et al. 2009) and improved modeling of substitution rate heterogeneity (Lartillot and Philippe 2004; Lartillot et al. 2007; Wang et al. 2008).
Finally, efficient sampling optimization based on the simulated annealing algorithm is proposed and implemented in the software.
The results from sampling optimization showed that for the LAI-2000 insthement, the best sampling method is grid sampling, and the sampling interval should not be less than 20 m.
Sampling optimization was performed using a 22 factorial design tool.
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