This paper reviews the latest impedance imaging technique called Magnetic Resonance Electrical Impedance Tomography (MREIT) providing information on electrical conductivity and current density distributions inside an electrically conducting domain such as the human body. The motivation for this research is explained by discussing conductivity changes related with physiological and pathological ...

the quantum transport computations have been carried on four different width of zigzag graphene using a nonequilibrium green’s function method combined with density functional theory. the computed properties are included transmittance spectrum, electrical current and quantum conductance at the 0.3v as bias voltage.  the considered systems were composed from one-layer graphene sheets differing w...

In this work, Ni nanoparticles were directly decorated on graphene (G) nanosheets via mechanical ball milling. Based on transmission electron microscopy observations, the Ni nanoparticles were well dispersed and attached to the G nanosheet without any agglomerations. Electrochemical results showed that the capacitance of a G/Ni nanocomposite was 275 F g(-1) at a current density of 2 A g(-1), wh...

Medical staples are one of the nitinol shape memory alloys applications which their pedicles have to be bent for suitable function with an appropriate angle at a specified temperature .It is achievable by shape memory effect. For this purpose, samples of nitinol super elastic alloys were bent in a steel mold with different angles & formed orthopedic staples. Then shape memory effect was induced...

Magnetic resonance electrical impedance tomography (MREIT) is a recently developed imaging technique that combines MRI and electrical impedance tomography (EIT). In MREIT, cross-sectional electrical conductivity images are reconstructed from the internal magnetic field density data produced inside an electrically conducting object when an electrical current is injected into the object. In this ...

By injecting an electrical current control stimulus into a neuron, one can change its inter-spike intervals. In this paper, we investigate the time optimal control problem for periodically firing neurons, represented by different one-dimensional phase models, and find analytical expressions for the minimum and maximum values of inter-spike intervals achievable with small bounded control stimuli...