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The objective of the present study broken down into two sub-aims; exploring the propensity to broaden the scope of detectable analytes and designing a more robust system for potential applications to realistic samples.
With order parameter varying on the short scale of the coherence length, and the magnetic field being long-range, the numerical handling of 3D simulations becomes extremely challenging and time-consuming for realistic samples.
The athermal extrapolation of the measured strength in conventional loading tests is much lower, owing to the unavoidable imperfections in realistic samples, where shear band nucleation is always heterogeneous and facilitated by stress concentrators.
In fact, a major contribution of the paper is elucidating what the structure of future experiments should be to provide realistic samples of contact and disease dynamics for a given population.
Our numerical results given our limited choice of parameters suggest that Ph->E transmission in the absence of C is viable with realistic samples sizes (Fig. 3), but, in the presence of C (Fig. 2), well beyond the resolution provided by realistic twin samples in the presence of C (see Table 1).
Although progress has been made in both the simulation of long genome sequences [ 10, 15] and GxE disease models [ 4], the combination of these two approaches would produce realistic samples that could greatly aid the study of GxE in complex human diseases.
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A realistic sampling protocol also needs to be defined, with no redundancy.
For more realistic sampling, the weighted residual methods performed comparably to the other two.
The test material has to be a realistic sample of the actual data that belongs to the target application scenario.
The resulting biosensor was further validated by assessment of OPs residues in cabbage, which showed a fine applicability for the detection of OPs in the realistic sample.
Hence, although the proposed work is general and can be used with any sampling pattern provided sampling incoherence is maintained, we project the use of realistic sampling patterns as the future work.
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