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We notice from these curves that the two moments are almost confused (Figs. 1 and 2).
We notice from the numerical results that different initial points almost had different stationary points for the multimodal functions.
However, as we notice from Figure1a, the starting and ending values of the curves are increasingly higher with P.
We notice from bare eye observation with daylight that the supernatant with CQDs prepared under abovementioned experimental conditions looks yellow.
First, we notice from results, that the Prewitt operator is generating a detection performance of 63.39%, which is relatively close to that of Sobel with 63.01%.
As an important consequence, we notice from Eq. (8) that only the product of drive power and nonlinearity determines the dynamics but not each quantity itself.
We notice from our extensive simulations using system-level LTE simulator [14], that the user channel statistics do not change too rapidly across adjacent PRBs.
We notice from Table 3 that the average size of each cluster of our algorithm is larger than that of CPA.
We notice from Eq. (27) that L 3 d, 1 becomes infinite (an "open") and no longer contributes to the circuit.
We notice from the figure when spectrum demand is increased and blocking probability does not surpass, PU y increases the size of the offered spectrum to generate more revenue.
We notice from Fig. 14, that Noop has rigorous disk head movements3, while BID-HDD linearizes depicting the serving of I/Os in bulk to storage and reducing preventable disk arm movements.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com