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We are interested in the maximum negative value of the signal.
The intensity of the storms, which is the maximum negative value of Dst (or DstMin) during the storms, has conventionally been considered to represent the severity of space weather.
Note that Re〈v〉 always has a maximum negative value below ω B, indicating that self-oscillation that occurs at the maximum gain is never at the Bloch frequency.
The position of stagnation region can be acquired from the value of displacement vector sum, which means that the range from minimum positive value to maximum negative value is considered as the location of stagnation region.
As stated in the previous sub-section, the amplitude of the MI is defined as ΔH = H th2) − H th1), where th1 is the onset time of SI and th2 is the time when the amplitude of the SI attains its maximum negative value.
It is seen that the maximum negative value of σ z happens within the bottom 90° layer and the maximum positive value of σ z occurs within top 0° layer both near the middle surface of the laminate at the free edge (i.e., y = b).
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The maximum negative values of K(p) correspond to a good match with the original pattern, while large positive values implicate matching with the inverted pattern.
The program first detects the negative slopes in the Dst variation (green dots, Fig. 1a) and identifies the preliminary main phase onsets (MPOs) when Dst starts decreasing (red starts) and DstMin when Dst reaches maximum negative values (black stars, Fig. 1b).
The program first detects the negative slopes in the Dst variation (green dots, Fig. 1a) and identifies the preliminary main phase onsets (MPOs) when Dst starts decreasing (red stars) and DstMin when Dst reaches maximum negative values during main phase (MP) of the storms (black stars) as shown in Fig. 1a.
Maximum negative predictive value was found for IPDS-2 (0.99) and minimum for IPDS-3 with 0.53.
ROC curve analyses will be undertaken to permit decisions regarding the best choice of cut-off points (MMP-9) to achieve specified levels of misclassification (either overall misclassification or maximum negative predictive value).
More suggestions(15)
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