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The resulting spectral methods provide highly accurate solutions and derivatives for periodic problems.
Coupled-cluster methods provide highly accurate models of molecular structure through explicit numerical calculation of tensors representing the correlation between electrons.
Although some of these methods provide highly accurate real-time estimates on travel speeds and times, they typically require installation of physical equipment (e.g. magnetic loop detectors) which makes them resource-intensive, or they are labor-intensive (surveys).
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The different methods provided highly correlated data.
Though the quantification of FFPE was less correlated to FF mRNA-Seq, the two rRNA depletion methods provided highly consistent gene profiles on FFPE.
This self-assembly method provides highly controllable transmittance and surface electrical resistance.
It is shown by numerical examples that this method provides highly accurate results with a small number of nodes while avoiding numerical problems and instabilities.
As shown in the figures, our proposed method provides highly accurate factor estimation results, and more than 95% of the estimated factors are in the ±0.05 scope of the reference ones.
The wet-chemical synthesis of colloidal nanocrystals (NCs) is a well established method providing highly monodisperse quantum dots for applications such as bright and stable fluorophores.
An alternative strategy to fit mixed models is the penalized quasi-likelihood (PQL) approach [ 18, 19] (GLIMMIX macro in SAS) but this method provides highly biased estimates of mixed-effects parameters with binary responses [ 20, 21].
The results indicate that the gas-phase synthesis method provides highly-ordered few-layer graphene with extraordinary high purity, very low oxygen content of less than 1 at.%, and high specific conductivity.
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