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Simulation of the six-photograph lineup procedure was similar, except that each simulated lineup involved six sampled strengths, either one from the guilty suspect distribution and five from the filler distribution (for a TP lineup) or all six from the filler distribution (for a TA lineup).
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In either case, the highest sampled strength determined the confidence rating.
Any sampled strength greater than 0.18, the lowest criterion, was assumed to result in a positive identification.
In 27.5% of the samples (strengths 4, 5, 6), jenny could not create test cases as we have mentioned before.
Therefore, the sample strength is not sensitive to TB spacing.
Sample strength is actually determined by the strength of the two TBs surrounding the void.
For twin-free Cu samples, strength is equivalent to the yielding stress of the material.
The results show a direct relation between sand production and hole size while it is reversely correlated with sample strength.
Besides the chemical analysis of the hydrated samples, strength tests have been carried out on mortars, applying different curing regimes.
Unfortunately, the bonds formed between cyanoacrylate and HDPE are mechanically weak with large sample to sample strength variation, causing the performance of the end product to suffer drastically [2, 3].
Results show that AFM and nanoindentation are promising methods in investigation of asphalt materials' moisture damage because they can quantitatively determine the loss of asphalt samples' strength and also determine their damage types (adhesion or cohesion failure).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com