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Aflatoxin B1, B2, G1, and G2 were not detected in all flour samples and hence pose no health threat.
The restoration process was performed between two data samples and hence the first and last data samples have also been considered as regular data points.
The machine learning-based engine is a supervised learning approach, whose outputs are dependent on the training samples, and hence has a relatively low coverage of predictions.
Similar type of behavior was not observed in the IMF samples, and hence no tetragonal distortion is attributed to the IMF-grown GaSb epitaxial layers.
Notably, we show that the ideas from Girsanov׳s transformation based Monte Carlo simulations can be extended to conduct laboratory testing to assess system reliability of engineering structures with reduced number of samples and hence with reduced testing times.
It is shown that the MMTS criterion can provide good estimates for the fracture resistance of graphite samples and hence it can be used for predicting the fracture loads of real graphite components with different sizes.
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For simple random samples, sampling error (and hence the width of the "MOE") decreases at rate "root n" (e.g., doubling a poll's sample size produces a 141% reduction in the MOE).
In this scenario the frequency of sampling and hence the comparison of data from these samplings and their associated costs are extremely important issues.
The presence of spatial autocorrelation affects the information content of the sample and hence the precision of any estimator.
The TL model achieves 96.5% in the high energy-use sample and hence performs slightly better than the LL model15.
The samples were carefully handled to avoid any external influences that could interfere with the integrity of the sample and hence contaminate it.
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