Analyzes that granite AE signal parameters under uniaxial loading by that way of Pearson linear correlation, research that correlation of characterization parameters within that separate group with various characteristics, and analyzes that relationship between each parameter and destruction. This study shows that: impact, events and ringing are mainly used to describe the damage degree of rock...

In this paper, the effect of the crack on dynamic behavior of cracked micro-beam in the presence of DC and AC loads are investigated. By applying the residual axial stress and fringing field stress, a nonlinear analytical model of cracked micro-beam is presented and crack is modeled by a massless rotational spring. The governing equation of the system is solved using Galerkin procedure and shoo...

Nowadays, atomic-force microscopy plays a significant role in nanoscience and nanotechnology, and is widely used for direct measurement at atomic scale and scanning the sample surfaces. In tapping mode, the microcantilever of atomic-force microscope is excited at resonance frequency. Therefore, it is important to study its resonance. Moreover, atomic-force microscopes can be operated in fluid e...

BACKGROUND Although J-waves are seen in both patients with idiopathic ventricular fibrillation (IVF) and the general population, their genesis remains unclear. To assess the relationship between J-waves and autonomic tone we investigated the circadian variation of J-waves in individuals with and without IVF. METHODS AND RESULTS In study 1, we obtained resting 12-lead ECG and Holter ECG record...

background: ketamine is a commonly used intravenous anesthetic which produces dissociation anesthesia, analgesia, and amnesia. the mechanism of ketamine-induced synaptic inhibition in high-level cortical areas is still unknown. we aimed to elucidate the effects of different concentrations of ketamine on the glutamatergic synaptic transmission of the neurons in the primary somatosensory cortex b...

Neurons can be excited and inhibited by filtered signals. The filtering properties of neural networks have a huge impact on memory, learning, disease. In this paper, the frequency selection Hodgkin–Huxley (HH) neuron in response to band-pass signals is investigated. It found that neuronal property depends locking relationship between signal’s center natural frequency. firing combination fundame...