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PFS and OS for all patients were measured from trial entry until documented progression (by RECIST or PSAWG criteria) and death, respectively.
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Then, response amplitudes were measured from each trial as the difference between the average Vm ± 0.5 ms around the peak response and the average Vm ± 0.5 ms around latency.
To ensure that the key is secure, Alice and Bob perform statistical tests (i.e., compute the Quantum Bit Error Rate (QBER E) [22] and/or perform a Bell test) on the data they measured from several trials.
Although QTL for chlorophyll have previously been determined to vary depending on growing environment, QTL for chlorophyll content on LG3, 7 and 9 measured from the glasshouse trial confirm those previously identified from a UK field trial, providing strong evidence for consistency in these QTL.
For example, QTL consistent across environments included CTA (CTA1) and on another LG, QTL for CTA1 and chicoric acid (DCTA) measured from the field trial co-located with a QTL for the kaempferol derivative K-3MG (kaempferol-3-malonylglucoside) measured from the glasshouse (Supplementary Table S5).
Twenty-four QTLs were identified with phenotypic variation ranging from 4.3 to 55.8 % for the various phenology and plant production traits under drought stress measured from the two (trials 2 and 3) TPE experiments (Table 3).
OS was measured from inclusion into the trial to death from any cause, or censored as the date of last information when death was not recorded before the cutoff date (1 May 2009).
To account for the left-truncation, patients were included in the risk set for a DFS failure at the time they entered the trial (measured from time of diagnosis) [ 4].
To assess objective response, patients were evaluated every two cycles (i.e. every 6 weeks) by three independent radiologists The time to progression was measured from entry into the trial up to the time when progression or death without evidence of progression was observed.
Response rates in successive 2-s epochs of the 120-s trials (in the case of the FIPP, these were the peak trials, see above) were plotted against time measured from the start of the trial; a two-factor analysis of variance was carried out on the data (group × time-bin, with repeated measures on the latter factor).
By comparing the slab temperatures measured from the instrumented slab trials and those predicted using the models, it was demonstrated that the 3D CFD and 2D heat transfer models predict the reheating process reasonably well.
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CEO of Professional Science Editing for Scientists @ prosciediting.com