Negative differential resistance, rectification, tunable peak-current position and switching effects in an alanine-based molecular device.

The transport properties of a molecular bio-electronic device based on the alanine amino-acid are investigated. The considered device consists of an alanine molecule as the central potential-dot coupled to two zigzag graphene nanoribbon (ZGNR) conducting electrodes. The current-voltage characteristics of this dual tunnelling molecular junction are studied at two different optimised compositions of the central molecule. The proposed amino-acid based structure utilises the tunnelling coupling similar to that of semiconducting single-electron transistors (SETs) to avoid complications due to the atomic interfaces. The current-voltage characteristics show polarity-dependent behaviour making the device feasible of being applied as a molecular rectifier. Negative differential resistance (NDR) along with tuneable peak-current position has been also observed in the current-voltage characteristics. The device is also capable of being applied as a switch controllable by the central molecule orientation.

Calculation of specific absorption rate (SAR) in human brain neurons using complex permittivity.

The effect of the external electromagnetic radiation on the human brain has been investigated by the numerical calculation of the frequency-dependent complex permittivity. Using the Hodgkin-Huxley neuron model, an analytical method for the calculation of the electromagnetic power absorption in the brain neurons is proposed based on the complex permittivity of neuron membranes. The effect of the human head is considered through the calculation of forward and backward travelling electromagnetic waves. The modified time-dependent Hodgkin-Huxley equations have been used to obtain the reflectivity and transmissivity of the external stimulus at the membrane of the cell. The amount of absorbed energy by the human head is presented in the form of the electromagnetic absorption rate.

Electrocardiogram signal generation using electrical model of cardiac cell: application in cardiac ischemia.

One of the most common causes of heart failure is ischaemia. In this disease, the heart muscles die due to the lack or insufficiency of the blood in the cardiac veins. As a result of such a phenomenon, the action potential in that part of the heart would fade. In this article, using the electric model of the cardiac cell and the mechanism of producing an ECG signal in the heart, the process of producing cardiac electrical potential has been modelled. In this regard, the basic constituent signals of the ECG are generated. Afterward, by accumulating these signals, the final ECG is reproduced. In addition, by variation of the presented model parameters, the cardiac ischaemic signal is simulated in a way that the influence of ventricle ischaemia on the ventricular tissues is considered. The results of such a simulation demonstrate a sufficient match between the model output and the reported changes of the cardiac arrhythmia including ischaemic failures. Here, we report the 91% match between the simulated signal and the considered clinical data.