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Thus, residual Monte Carlo methods hold great promise for increased efficiency relative to conventional Monte Carlo methods.
These methods hold great promise, but even the simplest implemented two-area models are parameter-rich (Goldberg et al. 2011), and the inferential power of more complex multiple-area models remains to be tested.
In recent years, near surface geophysical methods have been used to provide high resolution imaging of subsurface properties in a minimally invasive manner, and these methods hold great promise for our ability to monitor subsurface perturbations [16, 17].
Additionally, collapsing methods hold great promise for the future with the application to sequencing data.
Given the dearth of toxicity information on chemicals, HT methods hold great potential to fill data gaps and expand our understanding of the potential health and environmental effects of chemicals.
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Recent development of genotyping-by-sequencing (GBS) methods holds great promise for constructing high-resolution linkage maps in organisms lacking extensive genomic resources.
The developed method holds great potential for applications in tissue engineering, regenerative medicine, and drug screening.
The acetylene flame method holds great potential for the cost-effective production of CNTs as well as carbon nanocapsules.
The method holds great promise in pathogenic bacteria detection due to its accuracy, specificity, sensitivity and low-cost.
The general self-template method holds great potential for the fabrication of high-performance charge storage devices.
Our method holds great potential for creating and updating sinkhole inventory databases at a regional scale in a timely manner.
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