Self-assembled membranes of amphiphilic diblock copolymers enable comparisons of cohesiveness with lipid membranes over the range of hydrophobic thicknesses d = 3-15 nm. At zero mechanical tension the breakdown potential V(c) for polymersomes with d = 15 nm is 9 V, compared to 1 V for liposomes with d = 3 nm. Nonetheless, electromechanical stresses at breakdown universally exhibit a V(c)(2) dep...

Bones are an integral part of the human body that exhibit piezoelectric properties, meaning that when stress is applied to the bone, the bone produces a current within itself. This is known as the piezoelectric effect. Material that are piezoelectric can similarly exhibit the reverse piezoelectric effect, meaning that when a current is applied, the material compresses on itself. This property h...

Electromagnetic fields in the air gap of an electric machine produce electromagnetic forces between the rotor and stator. The total force exerted on the rotor due to the eccentric rotor position is called the unbalanced magnetic pull. This eccentricity force is directed roughly over the shortest air gap. At low frequencies, the vibration amplitudes of flexural modes may be large enough to coupl...

This article investigates the size dependent on piezoelectrically layered perforated nanobeams embedded in an elastic foundation considering material Poisson’s ratio and flexoelectricity effects. The composite beam is composed of a regularly squared cut-out core with two piezoelectric face sheet layers. An analytical geometrical model adopted to obtain equivalent variables core. To capture effe...

Nano- and micro-electromechanical systems (N/MEMSs) are traditionally based on electrostatic or piezoelectric coupling, which couples electrical mechanical energy through acoustic resonator structures. Most recently, N/MEMS devices magnetoelectrics gaining much attention. Unlike that rely an AC electric field voltage excitation, magnetoelecric the electromechanical resonance of a magnetostricti...

The paper proposes an application of Empirical Mode Decomposition in technical analysis. The EMD-candlestick is designed to replace the traditional candlestick as the signal generators in technical trading strategies to improve the profitability. We investigate a representative set of technical trading strategies, including moving average, trading range break-out, relative strength index, and i...

This paper introduces a method for feature extraction and emotion recognition based on empirical mode decomposition (EMD). By using EMD, EEG signals are decomposed into Intrinsic Mode Functions (IMFs) automatically. Multidimensional information of IMF is utilized as features, the first difference of time series, the first difference of phase, and the normalized energy. The performance of the pr...