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The technique platform was optimized and evaluated by using reference samples and artificial samples, which can specifically detect down to 3 copies of single or mixed plasmid templates.
The presence of endocrine disrupting chemicals such as 4-n-octylphenol, 4-n-nonylphenol and bisphenol A in environmental samples and artificial products may cause health problems for human and organisms.
Such synthetic off-line signatures are used on a new on-line signature recognition architecture based on the combination of both types of data: real on-line samples and artificial off-line signatures synthesized from the real data.
In this study, diluted milk samples and artificial pools of milk representing bulk milk were classified as positive if PP was ≥ 2.
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Hence, computerized sampling and artificial payoffs (e.g., points) increased risky choices.
An alternative approach is proposed here based on response surface modeling using Latin Hypercube Sampling and artificial neural networks.
We then empirically show that the adaptive approach is faster and produces accurate models for circuit simulators as compared to other techniques such as progressive sampling and Artificial Neural Networks.
Our model is designed as follows: firstly, a sliding window is used to scan sample and artificial neural network (ANN) is employed to give cleavage site/non-cleavage site scores.
Was it the same for the biological samples and the artificial pools?
Known negative samples and an artificial gene RNA were also integrated into the panel for assessment of cross contamination.
The discrepancy in the modulus values between the historic samples and the artificial aged samples might depend on the sericin remains and the resinous traces found.
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