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The marker band imprints aided in identifying suspected fatigue crack initiation region and estimating crack growth rate.
Fatigue crack growth history was reconstructed using marker band loading sequences (i.e., applying two different R-ratios).
SP-B9 36, SP-B9 36zed with 13C=O-labeled Ala resynthesizedositions 26, 28, 30, and 32, shifted the β-sheet marker band to ∼1600 cm−1 and thus immediately identified this structural element within the labeled region.
In order to test the performance of our SERS method in term of low detection limit (LOD), the calibration curve i.e. plot of SERS intensity of the marker band at 695 cm− 1 versus the concentration of neopterin in CSF was constructed and used to calculate the neopterin concentration in clinical samples.
At least one specific Raman feature was identified for each drug as a marker band for detection in tissue.
The third transcript was much longer than the anticipated size of 184 nt, migrating slower than the 300-nt marker band (Figure 2B).
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With the marker bands on the fractography, FCG data was obtained.
The estimated parameters can be amended using the crack growth data acquired by fractographic analyses, should unclear marker bands or unreasonable band spacing occur.
To address this issue, we proposed a method for crack growth rate measurements utilizing a semi-elliptical surface crack, the size of which is determined via marker bands.
It is shown that interaction with lithium atoms perturbs appreciably the atomic and electronic structure of the nanometric graphene sheet and leads to new marker bands in the spectra.
These marker bands are used to determine the small scale crack growth rate (da/dN) of the samples, as well as the cycles to initiate a 10 μm crack.
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