Aircraft combat survivability is defined as the capability of an aircraft to avoid or withstand a man-made hostile environment, which has been increasingly important. In order to give a rational calculation of aircraft combat survivability, an integrated method based on combination weighting and multiattribute intelligent grey target decision model is proposed. Firstly, an evaluation index system containing susceptibility index and vulnerability index as well as their subindexes is established. Then a multiattribute intelligent grey target decision model is introduced. A combination weighting method is brought up based on a modified AHP (analytic hierarchy process) method and the entropy method, offering a rational weight for various indexes. Finally, utilize the multiattribute intelligent grey target decision model to assess the aircraft combat survivability of aircraft, verified by a practical case of five aircraft. The results show that the proposed method is effective and has a great value in engineering application, which will provide useful references for other projects’ evaluation.
In this letter, two new improved PWM techniques are proposed for single-phase cascaded H-bridge inverter. Compared with the conventional modulation methods, including phase-shifted pulse width modulation (PS-PWM), level-shifted PWM (LS-PWM), discontinuous modulation (D-PWM), only PS-PWM can ensure the output quality and maintain the power balance between each module. That's why it is widely used. However , the switch with PS-PWM always operates in a high-frequency mode, resulting in the high switching losses and low efficiency. In order to solve the problem, two improved cascaded H-bridge multilevel PWM methods are proposed in this letter. With the proposed PWM methods, the power can be evenly distributed among modules, the utilization rate of switching devices is the same, while the switching times are reduced, which improves the system efficiency. Finally, the experimental tests are carried out on a digital-control single-phase cascaded H-bridge seven-level inverter. And the experimental results verify the effectiveness of the proposed solution.
The aggregation of amyloidogenic proteins is often related to the occurrence of neurodegenerative diseases, including fused in sarcoma protein (FUS) in frontotemporal lobar degeneration and amyotrophic lateral sclerosis diseases. Recently, the SERF protein family has been reported to have a significant regulatory effect on amyloid formation, but it is still unclear about the detailed mechanisms of SERF acting on different amyloidogenic proteins. Herein, nuclear magnetic resonance (NMR) spectroscopy and fluorescence spectroscopy were used to explore interactions of ScSERF with three amyloidogenic proteins FUS‐LC, FUS‐Core, and α‐Synuclein. NMR chemical shift perturbations reveal them sharing similar interaction sites on the N‐terminal region of ScSERF. However, the amyloid formation of α‐Synuclein protein is accelerated by ScSERF, while ScSERF inhibits fibrosis of FUS‐Core and FUS‐LC proteins. Both the primary nucleation and the total amount of fibrils produced are detained. Our results suggest a diverse role of ScSERF in regulating the fibril growth of amyloidogenic proteins.
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