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COTCP is a bolus transcardiopulmonary thermodilution technique and served as the reference method and calibration method for PCCO.
Secondary calibration points generated by these previous Annonaceae studies were avoided as a different molecular dating method and calibration points were employed in this study.
The instrument detection limit (IDL) of this method and calibration was 2.5 μg mL−1 per individual FAME and the reproducibility between replicate injections was <5% RSD (data not shown).
A recent molecular study by Springer et al. [ 40] using the same Bayesian dating method and calibration points – but for a longer data set – found support for the Long Fuse model of Archibald and Deutschman [ 54] by placing almost all interordinal divergences in the Late Cretaceous.
This is further exemplified by Kumar et al. [ 36], who showed that both sampling method and calibration dates affect the confidence limits of the estimated timing of the human-chimpanzee divergence (calculated at 4.86 - 7.02 MYA, depending on the preferred date of the split between apes and Old World monkeys).
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Following this approach, we explored the consequences on the estimated times by using different methods and calibration boundaries and evaluated not only their robustness to parameter perturbations, but also their compatibility with known divergences and biogeographical distributions.
We found that time estimates vary across methods and calibration boundaries used, suggesting that the time estimates on the Plasmodium mitochondrial DNA are not robust to model and parameter perturbations.
The ORs were adjusted for the stratified sampling methods and calibration weights that serve to adjust for non-response bias and are based on information extracted from various Swedish registers [ 19].
However, these methods also suffer from shortcomings, including counting inefficiencies, probe sample interaction artifacts (e.g., electron beam degradation of the sample, probe-induced sample movement, artifacts due to electron beam inhomogeneity), sample preparation issues (e.g., sampling errors and debris artifacts related to sample preparation methods), and calibration and focusing errors.
As there are some shortages with using both standard calibration method and self-calibration method to calibrate a large Field of View (FOV) binocular stereovision sensor, a two-step calibration method of a large FOV binocular stereovision sensor for onsite measurement is proposed.
The perchlorate solution from CPAchem was used for the method validation and calibration experiments, while the perchlorate solution from SCP Science served as an independent source for quality-control measurements [1].
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