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A possible, additional explanation for the aforementioned discrepancy is based on the different Ge profiles of the islands of the two ensembles as shown in Fig. 3a.
One potential reason for this discrepancy is based on the ability of rituximab to recruit inflammatory cells to sites of disease.
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The identification of the reasons for the discrepancies is based on the previous generic studies and on the detailed information provided by the validated CFD simulations.
This would answer whether the discrepancies are based on area or design differences or both.
Nevertheless, these discrepancies are based on the set of initial concentrations used, as illustrated in Figure 4(B).
We discuss whether these discrepancies are based either on inhibition from high-osmolarity sensors upon specifically the reflexive pathways or whether different sensory pathways, with different effective dose response characteristics, may have preferential access to drive either reflex responses or modulatory neurons mediating internal reinforcement, respectively.
Discrepancy principle (DP) is based on the idea that the regularization parameter should be chosen such that the sum of residuals should be equal to the error level of the data.
Further details about each tuning method can be found in Additional file 2. The methods considered can be classified into the following five groups: Discrepancy principle (DP) is based on the idea that the regularization parameter should be chosen such that the sum of residuals should be equal to the error level of the data.
This proposed low-discrepancy sampling method is based on the concept that the deterministic low-discrepancy sequences of points can significantly improve the accuracy of the classical Monte Carlo (MC) method over purely random sampling.
Mean absolute discrepancy (MAD, kg ± SD) is based on monthly observations from NCHS-R and WHO weight-for-age reference curves (5 10y).
The other method is based on the discrepancy principle, which requires that the variance of the discrepancy between the calculated and measured responses is close to the variance of the measurement noise.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com