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Some detailed atomistic simulations have been employed for the computational design of imprinted polymers [30 34].
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For instance the computational model employed for the phase variation case study [ 35] is an illustrative example of constructing a spatial stochastic computational model from an initially non-spatial deterministic model [ 36].
Considering a 33 ms-length frame of the speech signal (30 frames per second), sampled at 11025 Hz, the feature extraction and audio-to-visual stages take about 18 ms per frame, where most of the computational time is employed for the visual estimation stage (feature extraction stage takes about 0.1 ms).
CDTT has been employed as a basis for various computational devices employed for the verification of mathematical theories and of software and hardware systems in computer science.
The attendant computational approaches employed for the discovery and initial characterization of DNA variants are discussed with an emphasis on the most commonly used Sanger-based sequencing methodologies.
As tools involved in collecting data improve, the software and computational strategy employed for the analysis should be refined to accommodate for these changes and should not limit the type of investigation that can be undertaken.
The fuzzy model is developed using Gaussian membership functions and consequent functions where the Levenberg Marquardt computational algorithm is employed for the model parameters calculation.
As a point of reference, using the same computational approach as employed for the plant mitochondrial rate analysis, we aligned all 13 protein coding genes from the full mitochondrial genomes of a human [ 58], a Neanderthal [ 59], a more distantly related Denisova hominin [ 60], and a chimpanzee outgroup [ 61].
Multiple computational strategies have been employed for the discovery of additional ELMs involved in protein interactions and post-translational modifications [ 26, 27].
Several types of computational methods have been developed and employed for the analysis of PPI networks.
The computational effort required for Target Identification (TI) analysis is nearly important, and both parallel and distributed approaches can be employed for the simulations.
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