The study permits to highlight that ultrasound impacted rosemary leaves not by a single or different mechanisms in function of ultrasound power, as described by previous studies, but by a chain detexturation mechanism in a special order: local erosion, shear forces, sonoporation, fragmentation, capillary effect, and detexturation.
Another explanation can be obtained from [33] in which it is shown that for the multiuser case and when the number of tones is large, the (un weighted data rates show a so-called time sharing property in function of transmit powers.
Thus, the inverse relationship of the transmitted power, (P_{t_text {mimo}}), in function of the transmitted power in [dBm], (P_{t_text {mimo}_text {dBm}}), for a MIMO user case is given by: {P_{t_text{mimo}}} (P_{t_text{mimo}_text{dBm}}) = 1e^{-3} times 10^{frac{P_{t_text{mimo}_text{dBm}}}{10}}.
Moreover, from Equation 52, we obtain the inverse relationship of the path loss in function of the transmitted power.
The achievable total data rate R n for user n and the total transmit power P n consumed by user n can now be expressed in function of the transmit powers s k n, n ∈ N, k ∈ K, as follows: R n ≜ f s ∑ k ∈ K b k n ( s k ) and P n ≜ ∑ k ∈ K s k n. (2).
For practical applications, in agreement with the ISO road roughness surfaces classification, it is possible to generate an artificial road profile from a stochastic representation, in terms of the function of Power Spectral Density (PSD) of vertical displacements obtained through the Fourier Transform of the auto-correlation function of the stochastic process describing the road profile.
In this paper, we present a study of management of power in function of luminous efficacy of white LED as well as the efficiency enhancement of the direct-view backlight with photon recycling.
In the next step, the gradient function of power with respect to voltage is represented from strongly concave mapping between power and voltage.
The inset in Fig. 8 shows the maximum value of the photocurrent for each cycle, I phmax, as a function of power density F in the 10 170 mW/cm2 range.
The function of power spectral density (in frequency domain) is A^{2} left( omega right) = {{k^{2} } mathord{left/ {vphantom {{k^{2} } 1}} right.
