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To predict rare events without resorting to Monte Carlo simulation, the parameters of the Modified Gaussian distributions are calculated via characteristic function comparison.
Performance evolution and function comparison demonstrate that the proposed scheme is well suited for RFID tags with the scarceness of resources.
Figure 8 Ambiguity function comparison of UWB noise radar and noise-OFDM radar.
Figure 4 Cumulative distribution function comparison between zero-mean Gaussian and bandpass filtered noise term.
Based on our simulation analysis, a cumulative distribution function comparison between (a representative interference term) and a zero-mean band-limited Gaussian with the same power and frequency range is shown in Figure 4.
Open image in new window Open image in new window Figure 1 In vitro function comparison of CD3/CD28 Dynabead-stimulated (Beads) and OKT3/IL-2-stimulated (OKT3) T cells.
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Performance analysis and function comparisons demonstrate that the proposed scheme is well suited for mobile clients.
We verify the functional equivalency of our dataset through a series of tests that include sequence, structure and function comparisons.
For fibrinogen analyses, the lowest tertile of fibrinogen level in the normal group (≤350 mg/dL) was used as a control for the lung function comparisons.
Recently, many classes of families have been introduced, like altering distance functions, comparison functions, ( c ) -comparison functions, Geraghty functions, etc.
In many cases, new results that currently are being obtained involve contractivity conditions that depend on auxiliary functions (comparison functions, Geraghty functions, altering distance functions, Bianchini-Grandolfi gauge functions, etc).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com