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Partial discharge is a common phenomenon in power transmission systems. It has been shown that high voltage power transmission lines are more susceptible to partial discharges than medium voltage transmission lines due to the large current and high voltage. Thus, there is a need to protect power transmission equipment from partial discharges. This study investigates the impedance of a high-voltage distribution line to predict the susceptibility to partial discharges. A finite element model (FEM) was developed in Comsol Multiphysics 5.2 for an HV distribution line comprising of two parallel HV transmission lines with a capacitance coupling. A source of partial discharge current was applied between the two transmission lines. The total impedance and partial discharge current density was measured at various locations along the line. The FEM model successfully predicted the impedance and current density distribution along the line when the voltage was applied between the transmission lines. The results showed that when the partial discharge occurred between the transmission lines, the current is concentrated near the gap between the line and the capacitance coupling, and the current density was higher at the boundary of the capacitance coupling. The results from the proposed impedance measurement show that it can be used to determine the location where partial discharges will occur along the line, which can help in design of a protective structure and reduce the total impedance of the line to increase the power flow. © 2018 Wiley Periodicals, Inc.
Previous research indicates that the brain can be modulated by electrical brain stimulation at frequencies that are well within the frequency range of physiological, cortical oscillations. However, the spatial distribution of the modulated brain activity is not well understood. An important problem is that previous studies have not investigated the spatial distribution of brain activity that is modulated by tACS. fMRI provides high-resolution information about neuronal activity across the whole brain. With the use of tACS, the modulation of cortical oscillations can be studied in detail. In this study, we investigated the spatial distribution of the tACS-induced modulation of visual cortex oscillations. We measured the brain activity of eight healthy volunteers by fMRI while applying tACS at different frequencies (4, 8, 16, and 32 Hz). We observed significant tACS modulation effects on BOLD responses when the tACS frequency matched the visual flicker frequency or the second harmonic frequency. These findings bridge different scientific domains of tACS research and demonstrate that fMRI can localize the tACS effect on stimulus-induced brain rhythms, which could lead to a new approach for understanding the high-level cognitive process shaped by the ongoing oscillatory signal.
The results of the stepwise logistic regression analysis for prediction of FL are shown in table 2. After adjusting for age, gender, BMI, waist circumference, and other factors, alcohol intake in g/kg and GGT were significantly associated with FL (P < 0.05). The odds ratio (OR) of FL in subjects with moderate or severe undernutrition was 1.75 times higher than in those with no undernutrition (95%CI, 1.12-2.72). The OR of FL was 2.26 times higher in subjects with moderate or severe undernutrition and 1. 827ec27edc