The service environment of the transmission shaft is complex, and it is frequently subjected to impact load. Impact fatigue is the main cause of its fatigue failure. In this study, a fatigue damage evolution analysis ...
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Evidences show that electric fields(EFs)induced by the magnetic stimulation could modulates brain activities by regulating the excitability of GABAergic ***,it is still unclear how and why the EF-induced polarization ...
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Evidences show that electric fields(EFs)induced by the magnetic stimulation could modulates brain activities by regulating the excitability of GABAergic ***,it is still unclear how and why the EF-induced polarization affects the interneuron response as the interneuron receives NMDA synaptic *** the key role of NMDA receptor-mediated supralinear dendritic integration in neuronal computations,we suppose that the applied EFs could functionally modulate interneurons’response via regulating dendritic *** first,we build a simplified multi-dendritic circuit model with inhomogeneous extracellular potentials,which characterizes the relationship among EF-induced spatial polarizations,dendritic integration,and somatic *** performing model-based singular perturbation analysis,it is found that the equilibrium point of fast subsystem can be used to asymptotically depict the subthreshold input–output(sI/O)relationship of dendritic *** predicted that EF-induced strong depolarizations on the distal dendrites reduce the dendritic saturation output by reducing driving force of synaptic input,and it shifts the steep change of sI/O curve left by reducing stimulation threshold of triggering NMDA ***,the EF modulation prefers the global dendritic integration with asymmetric scatter distribution of NMDA ***,we identify the respective contribution of EF-regulated dendritic integration and EF-induced somatic polarization to an action potential generation and find that they have an antagonistic effect on AP generation due to the varied NMDA spike threshold under EF stimulation.
In order to reduce the coupling between dense antenna arrays in multiple input multiple output (MIMO) systems, this paper proposes a method to reduce the coupling between microstrip antenna arrays by utilizing a defec...
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Broadband and perfect terahertz absorber based on multilayer metamaterial using cross-ring patterned structures is proposed and *** structure of the absorber is double absorption layers consisting of a chromium cross ...
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Broadband and perfect terahertz absorber based on multilayer metamaterial using cross-ring patterned structures is proposed and *** structure of the absorber is double absorption layers consisting of a chromium cross ring and eight isosceles right *** unique structure of the double absorbing layers excites the electric dipole multimode resonance,giving rise to high absorption ***,the influence of construal parameters on absorber behavior is also *** numerical results show that the absorption achieves over 90%ranging from 2.45 THz to 6.25 THz and 99%absorption in the range of 3.7—5.3 *** realization of broadband and perfect absorber is described using the impedance matching *** is obviously found that the absorber is insensitive to the high angle of incidence for both transverse electric(TE)and transverse magnetic(TM)*** with the former reports,this absorber has remarkable improved absorption efficiency and smaller *** terahertz absorber may be found applications in the fields of energy capture and thermal detection.
Hydrostatic pressure measurement is essential in many industries, such as oil and gas production, chemical processing, and environmental monitoring. Due to the minimal impact of small hydrostatic pressure on ordinary ...
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In the new industrial revolution, the market demands integrated talents in new engineering fields. To meet the requirements of the new era for cultivating high-level talents in integrated disciplines, this paper takes...
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作者:
Wang, XinZhang, ChengyuanWang, YafeiLi, Xuehua
Key Laboratory of Information and Communication Systems Ministry of Information Industry Key Laboratory of Modern Measurement & Control Technology Beijing China
A LSTM based viewpoint rotation prediction enabled resource-efficient holographic type communication is investigated in EON enabled 6G RAN. The CensNet enhanced PPO is used for feature extraction based DU-CU deploymen...
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A compact and highly sensitive gas pressure and temperature sensor based on Fabry-Pérot interferometer(FPI) and fiber Bragg grating(FBG) is proposed and demonstrated experimentally in this paper. The theoretical ...
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A compact and highly sensitive gas pressure and temperature sensor based on Fabry-Pérot interferometer(FPI) and fiber Bragg grating(FBG) is proposed and demonstrated experimentally in this paper. The theoretical model for pressure and temperature sensing is established. Building on this foundation, a novel micro silicon cavity sensor structure sensitive to pressure is devised downstream of an FBG. The concept of separate measurement and the mechanisms enhancing pressure sensitivity are meticulously analyzed, and the corresponding samples are fabricated. The experimental results indicate that the pressure sensitivity of the sensor is -747.849 nm/MPa in 0—100 k Pa and its linearity is 99.7% and it maintains good stability in 150 min. The sensor offers the advantages of compact size, robust construction, easy fabrication, and high sensitivity, making it potentially valuable for micro-pressure application.
The soft robotics field is on the rise. The highly adaptive robots provide the opportunity to bridge the gap between machines and people. However, their elastomeric nature poses significant challenges to the perceptio...
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The soft robotics field is on the rise. The highly adaptive robots provide the opportunity to bridge the gap between machines and people. However, their elastomeric nature poses significant challenges to the perception, control, and signal processing. Hydrogels and machine learning provide promising solutions to the problems above. This review aims to summarize this recent trend by first assessing the current hydrogel-based sensing and actuation methods applied to soft robots. We outlined the mechanisms of perception in response to various external stimuli. Next, recent achievements of machine learning for soft robots’ sensing data processing and optimization are evaluated. Here we list the strategies for implementing machine learning models from the perspective of applications. Last, we discuss the challenges and future opportunities in perception data processing and soft robots’ high level tasks.
A new sensitive structure of a low-coupling heat flow biaxial MEMS accelerometer is proposed and its sensitivity mechanism is investigated. A three-dimensional model of the sensitive structure was created by COMSOL, a...
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