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No particle simulation method satisfied all of the conditions as well as the aggregate slump test and angularity test results, such as height, spread, weight, and simulation time; however, most of the particle simulation methods had good potential to simulate individual laboratory tests.
The results obtained by the two methods had good overall concordance.
For the GC-EI/MS, quantitation methods had good agreement (differed by less than 30%%) for 9,10-ANTQ (11%%), B[a]FLUO (6 %), and FLUO (15%%).
For disease surveillance, increased precision enables public health officials to more accurately focus resources for control and prevention, therefore, although both methods had good precision the pipeline developed would be more advantageous to utilize.
The four inverse Bayesian methods had good predictive power, with differences being due to the variance assigned to the prior distribution of parameter b i. Figure 2, A and B depicts the prior variance for models BIRR, BAI, BIR1, and BIR2 for trait-environment combination MFL-WW.
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The proposed methods have good accuracy performance with fewer features.
The results between two methods have good consistency.
The validating results demonstrate that the proposed methods have good accuracy and high adaptability.
The results in both tables show that the proposed methods have good approximation accuracy for the relatively long time domain.
The TMDs samples prepared by mechanical and liquid exfoliation methods have good quality, but their size is small.
The simulations are presented in Fig. 5, from which we can see that the proposed methods have good robustness.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com