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Experimental results indicate that the data-enabled ICM&M method could estimate the height profile of cured parts with accuracy and precision.
Finite element results verified that the method could estimate C t) in the small scale and transition creep stages and estimate the crack tip stress field.
We assessed 1) how well this method could estimate tree cover in both disturbed (chained and burned) and non-disturbed woodland patches and 2) how sensitive this method was to the confounding effects of climatic variations.
The greatest improvement is that the proposed method could estimate added mass of water without involving any water-related assumptions because all water influences are reflected in measured dynamic responses of the structure in water.
Experiment results show that the proposed method could estimate the parameters precisely, by which DME signal can be reconstructed and eliminated.
Obviously, this type of method could estimate missing values accurately if the data matrix contains rich local structure.
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Experiment results show that proposed methods could estimate small bowel contraction frequency correctly.
Using this method, we could estimate how frequently base replacements or additions post-transcriptionally occurred at each position of the scnRNAs.
By using this method, we could estimate gene expressions separately in cancer cells and stromal cells from colon and gastric cancers, in spite of the amount of stromal tissue.
Unlike the resource-intensive methods that could estimate project benefits upon project completion (e.g. RVM4, BETA5 or NIST6), the RICV7 method uses annual revenue streams received by the TTO/PRIs as units of observations by relaxing the assumption that the R&D project benefits should or could be attributed to the percentage of PRI's IP contribution.
Furthermore, by analyzing dcpm values at exonic positions compared with the background noise signal represented by the coverage on the anti-sense strand (see Methods), we could estimate the number of expressed exons for each of the RNA fractions (see Additional file 1: Table S1).
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