Multiscale gyrokinetic turbulence simulations with the real ion-to-electron mass ratio and β value are realized for the first time, where the β value is given by the ratio of plasma pressure to magnetic pressure and characterizes electromagnetic effects on microinstabilities. Numerical analysis at both the electron scale and the ion scale is used to reveal the mechanism of their cross-scale interactions. Even with the real-mass scale separation, ion-scale turbulence eliminates electron-scale streamers and dominates heat transport, not only of ions but also of electrons. Suppression of electron-scale turbulence by ion-scale eddies, rather than by long-wavelength zonal flows, is also demonstrated by means of direct measurement of nonlinear mode-to-mode coupling. When the ion-scale modes are stabilized by finite-β effects, the contribution of the electron-scale dynamics to the turbulent transport becomes non-negligible and turns out to enhance ion-scale turbulent transport. Damping of the ion-scale zonal flows by electron-scale turbulence is responsible for the enhancement of ion-scale transport.
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http://dx.doi.org/10.1103/PhysRevLett.114.255002 | DOI Listing |
Neural Netw
January 2025
School of Software, Shandong University, Jinan 250101, China; Shandong Provincial Laboratory of Future Intelligence and Financial Engineering, Yantai 264005, China. Electronic address:
Long time series forecasting has extensive applications in various fields such as power dispatching, traffic control, and weather forecasting. Recently, models based on the Transformer architecture have dominated the field of time series forecasting. However, these methods lack the ability to handle the correlation of multi-scale information and the interaction of information between variables in model design.
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Centre for Opto/Bio-Nano Measurement and Manufacturing, Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China.
When protein molecules come into contact with different types of substrate materials, the surface properties of the substrate will have a significant effect on their self-assembly behavior. The purpose of this study was to investigate the self-assembly behavior of zein molecules on the two different substrates. Herein, the microstructure of zein molecules on the surface of two typical substrates, mica and glass, were characterized in detail by atomic force microscopy.
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November 2024
School of Statistics and Mathematics, Guangdong University of Finance & Economics, Guangzhou 510320, China.
Underwater object detection (UOD) presents substantial challenges due to the complex visual conditions and the physical properties of light in underwater environments. Small aquatic creatures often congregate in large groups, further complicating the task. To address these challenges, we develop Aqua-DETR, a tailored end-to-end framework for UOD.
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November 2024
International Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology, Changchun, China.
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October 2024
Laboratorio Nacional de Ciencias de la Sostenibilidad, Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México C.P. 04350, Mexico.
Aggregation underlies the collective dynamics of a diversity of organisms, enabling the formation of complex structures and emergent behaviours on interaction with the environment. Cellular aggregation constitutes one of the routes to collective motility and multicellular development. , a social bacterium, is a valuable model for studying the aggregative path to multicellularity, a major transition in the evolutionary history of life.
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