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In general, the limits of detection of this method are around 10 100 times higher than the limits of detection found in the literature for wastewater samples analyzed by equivalent off-line methods.
From Fig. 2, we can see that the results of Monte Carlo method are around the results of the FDM, which indicates that the results of the FDM are accurate.
The absolute values of KDs obtained for binding to the individual ligands obtained by this method are around an order of magnitude lower (tighter binding) than those obtained for the same ligands in solution by ITC.
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The answer ratio using this method was around 15%.
The experiment results showed that the Mean Squared Error (MSE) of the proposed method was around one eighth of the MSE of the MinHash.
Simulation tests on a realistically sized representative twin-spool aero-engine showed that the new method was around 40 times faster than a conventional implicit integration scheme.
For example, when N = 300 patients, I = 4 items, ρ = 0.7 and with 5 measurement times, the power of the LPCM method was around 79%, while that of the SM method was around 96%.
The LOD (signal-to-noise ratio ≥3) for the compound using the present method was around 0.1 ng/ml or g.
The frequency of slugs, established using three different methods, was around 1.5 Hz for the evaluated conditions evaluated.
For migraine, the difference between the two methods was around 10% (15.4 vs 14.0%) for 1-year prevalence, but almost 30% for lifetime prevalence (22.2 vs. 15.9%).
The results showed that the 25 years annual mean temperatures obtained from the three interpolation methods were around 0.64 degree Celsius higher than the official data, indicating general overestimation in the interpolated results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com