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The objective of the study was to detect a modification of the PFS between the two randomised arms.
For CYP1A2 activity, the urinary "molar concentration ratio of 1, 7-dimethylurate plus paraxanthine over caffeine" measured in a reference population is 5.6 ± 1.5 (Mean ± SD) [ 55], so 75 subjects in each group allow to detect a modification of 13% of this ratio.
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From Table 5, it can be seen that such choice of system parameters allows to guarantee, on average, a probability of detecting a modification in at least 5%% of the image which is equal to 6.4%%.
This insertion is performed when the observer, which generated the network evidence E, detected a modification in the TTL or routing path through the packet observations of the missing sequence.
As can be seen from the results reported in Table 5, although decreasing the block dimension P would imply the possibility of embedding more bits in a given HDR image as shown in Table 4, it would also result in an increased probability of detecting a modification in the marked HDR image.
Actually, the evaluated probability of detecting a modification in at least 5%% of the image is 1.96 % when γ=H H, averaged over all the considered selections for the directions to be marked and the number of modified coefficients, with P=17 and Δ=2.
It has been noticed that, when applying the method in [18] to the 15 images considered for our experiments, the average probability of detecting a modification in at least 5%% of the marked images, measured with the HDR-VDP-2 metric, is equal to 27.6 %, being therefore much larger than the one obtained by the approach we propose.
Microscale oxygraphy could overcome this limitation and in fact, using this approach, we detected a modification in the respiratory profile of mitochondria derived from Pank2 −/− when compared with Pank2 +/+ brains.
Again similar to K562 cells, we also detected a modification of the expression of AM genes that based on our computational analysis were not expected to be involved in neuroblastoma pathogenesis: this confirms, if needed, the importance of the experimental verification of computational data.
Overall, 19% (16,425 out of 87,574) of the detected A-to-G modifications differ significantly between the GFL and OL tissues.
The dramatic overrepresentation of A-to-G mismatches over non-AG ones (including T-to-C) is therefore strong evidence that most of the detected A-to-G modifications are due to bona fide ADAR editing.
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CEO of Professional Science Editing for Scientists @ prosciediting.com