Compressive mechanical properties were within the range of trabecular bone, with the strongest samples possessing an elastic modulus of 195.3±17.5 MPa and a fracture strength of 68.8±9.4 MPa.
The pre-treatment strengths of the individual wood samples were as expected [22]; the tropical hardwoods Zebrano (M) and Keruing (H) are shown to be the strongest samples, followed by the hardwoods Maple (M/H) and White Oak (M/H) and Red Oak (H), and finally Scots Pine (H), a softwood.
It was the strongest sample of her work I have heard.
In particular, the strongest sample, at 56.5 MPa, also obtained a low value of oven-dried SG of 1.47, which lay within the range of oven dried SG (∼ 0.6 1.5) of commercial lightweight aggregates.
The TOA estimator developed in [24] passes the received waveform to a square-law device, integrates the output successively with time interval to obtain energy samples and then searches the direct path sample within a time period prior to the strongest sample.
The problem of saturation is completely remedied in Fig. 6 (bottom) where we observe that the AIM image not only avoids saturation in the strong sample regions but does so without sacrificing SNR in the weak sample regions.
Note that due to the strong sample scattering of the prepared tissue phantoms, the actual laser power reached at the actual focal plane is lower than the measured total power transmitted through the microscope objective.
Aside from the fact that the methylation profile reported by EpiTYPER does not appear to correspond to the absolute percentage methylation of individual CpGs, the strong sample-to-sample reproducibility (Fig. S1 ) suggests that it provides a reliable method to quantify methylation differences between samples.
The lack of success in identifying the same loci across different experiments, for example, could be due to epistasis between resistance loci, or the result of the strong sampling bias and small fraction of genetic variation that is captured using experimental crosses.
Sequencing depth is another trivial and important bias highlighted in reference 5. Other technical biases, such as non-uniformity of the distributed reads within the transcripts, and the strong sample-specific GC-content effects on read counts, were later studied in references 6, 7, and 8.
After the initial TRM experiments, six of the magnetically stronger samples were selected for a synthetic paleointensity study: DK0011, DK0023, DK0024-2, DK0127right, DK0127, and DK0131.
