Sentence examples for methods extending the from inspiring English sources
For future work, we plan to conduct a systematic review on agile methods, extending the review reported by Dybȧ and Dingsøyr [25], and comparing it to what we have found about the research on agile methods in Brazil.
We reformulate CPR methods using summation-by-parts (SBP) operators with simultaneous approximation terms (SATs), a framework popular for finite difference methods, extending the results obtained by Gassner (2013) for a special discontinuous Galerkin spectral element method.
In the past few years, DNA microarray for transcriptome analysis has been augmented by high-throughput sequencing methods; extending the reach of transcriptome analysis to the rodent species of biotechnological importance, for which the development of genomic tools has been lagging.
These methods extended the domain of ecological genetics from the classic 'conspicuous phenotypic polymorphisms' in color, shape and behavior to the physiological domain of enzyme function.
Deterministic methods extend the usefulness of observational methods by utilising the benefits of numerical and computational models and typically consider the causes driving the hazard.
The tested numerical example shows the proposed methods extend the actual concept of topology optimization and are efficient to generate reasonable design patterns.
More importantly, our methods extend the candidate target proteins to a genome-wide scale (9981 proteins), which greatly enlarges the number of known targets (935 proteins) in DrugBank.
Our methods extend the application of PD-based conservatoon to a wider range of taxa and situations than previous approaches [4], [5], [13], [22], [24], [25].
Most obviously, we demonstrated that the here introduced methods extend the methodological toolbox available to reading research.
Both methods extend the age-correction values to age 75 years to address the trend of older workers remaining longer in the workforce.
Bayesian methods extend the Maximum Likelihood approach by incorporating prior distributions, on the various unknown parameters, including in vitro data or clinical trial data.
