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Due to designed shape of channel are both ends of processed sample defined by higher imposed strain and only negligible shape changes.
The further analysis shows negative sample defined by this way is reasonable and helpful for the model training (shown in Support Information Sections 2– 4).
Each sample, defined by age (< 50 years or ≥50 years), residence (rural or urban), and sex (male or female), was categorized in eight subpopulation groups (e.g., < 50-year-old rural female).
Three different samples were used: (1) knowledge debriefing sample: composed of eight men and eight women; (2) pilot sample: composed of 13 randomly enrolled patients; and (3) reduction and validation sample: defined by applying three representativeness criteria.
+One patient with disseminated disease at diagnosis excluded from recurrence and survival analysis All samples demonstrated significant chromosomal instability with an average of 43.6 chromosomal breakpoints per sample (defined by a change in the stepwise copy number along a chromosome), with over 100 and 150 regions of high-level gain (+3) and loss (-3) respectively.
There will also be several strengths to this study, including the strong methodology of a randomized controlled design, validated assessments conducted by independent raters blinded to treatment condition, a sample defined by a standard diagnostic measure, an appropriate statistical analysis plan, and considering patients lost to follow-up as not in remission.
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Both migrant group samples were divided into samples defined by visible minority status and mother tongue.
Thus, for each phase, we treat the samples defined by IMM (hereafter, the "IMM samples") as randomly assigned samples of those included on the phase's selection date.
The algorithm proceeds in such a way as the statistics become insignificant for the entirety of sub-samples defined by any significant break.
By taking a continuous-time periodic sinc sampling kernel with bandwidth greater than or equal to the rate of innovation given by (1), and sampling at uniform locations = where = and then the samples defined by = sufficiently represent [12].
In doing so, the ICSS helps depict any significant break, by applying the new statistic to examine the break for each of the two sub-samples (defined by the break).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com