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Results in this figure demonstrated that the timing error bound improved for a higher roll-off factor when the signal arrived directly from the broadside (Fig. 11 left), especially for high signal to noise ratios.
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The obtained bound improves the best previously known ones.
This inner bound improves upon the previously best known SM-SK trade-off result by Prabhakaran et al, and to the best of our knowledge, upon all other existing lower bounds for either SM or SK for this setup.
The error bound improves quadratically with increasing frequency.
This figure shows that the first arrival timing estimation error bound improves as the number of channel vector estimates K increases.
For several representative datasets, we note that our bound improves the Bonferroni derived p-value estimates by a factor of almost 40, on average.
Binding improved considerably when the entire LysMMbg domain, with both motifs, was coupled two or three times to the N-terminus of GFP.
The lower bound is improved when the number of factors is large, and designs attaining the improved bounds are constructed by using the complements of designs with small number of factors.
This bound was improved to 246 in 2014, and by assuming either the Elliott-Halberstam conjecture or a generalized form of that conjecture, the difference was 12 and 6, respectively.
This upper bound is improved at low signal-to-noise ratio for IM/DD channels with pulse amplitude modulation in [9].
By incorporating all of the newly identified recruiters, the prediction of Tup1 occupancy at Tup1 bound sites improved from an R2 of 0.577 to 0.648 (p-value = 2.3×10−17) (Dataset S3).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com