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  • 2025


    • Book : 55(1)
    • Pub. Date : 2025
    • Page : pp.10
    • Keyword :
  • 2025

    Terahertz biotechnology has been increasingly applied in various biomedical fields and has especially shown great potential for application in brain sciences. In this article, we review the development of terahertz biotechnology and its applications in the field of neuropsychiatry. Available evidence indicates promising prospects for the use of terahertz spectroscopy and terahertz imaging techniques in the diagnosis of amyloid disease, cerebrovascular disease, glioma, psychiatric disease, traumatic brain injury, and myelin deficit. In vitro and animal experiments have also demonstrated the potential therapeutic value of terahertz technology in some neuropsychiatric diseases. Although the precise underlying mechanism of the interactions between terahertz electromagnetic waves and the biosystem is not yet fully understood, the research progress in this field shows great potential for biomedical noninvasive diagnostic and therapeutic applications. However, the biosafety of terahertz radiation requires further exploration regarding its two-sided efficacy in practical applications. This review demonstrates that terahertz biotechnology has the potential to be a promising method in the field of neuropsychiatry based on its unique advantages.


    • Book : 20(2)
    • Pub. Date : 2025
    • Page : pp.309-325
    • Keyword :
  • 2025


    • Book : 517()
    • Pub. Date : 2025
    • Page : pp.234-247
    • Keyword :
  • 2025


    • Book : 181()
    • Pub. Date : 2025
    • Page : pp.107347
    • Keyword :
  • 2025


    • Book : 212()
    • Pub. Date : 2025
    • Page : pp.111043
    • Keyword :
  • 2025


    • Book : 1053()
    • Pub. Date : 2025
    • Page : pp.122973
    • Keyword :
  • 2025


    • Book : 212()
    • Pub. Date : 2025
    • Page : pp.111067
    • Keyword :
  • 2025


    • Book : 559()
    • Pub. Date : 2025
    • Page : pp.165579
    • Keyword :
  • 2025


    • Book : 45(3)
    • Pub. Date : 2025
    • Page : pp.117068
    • Keyword :
  • 2025

    Abstract

    To reliably predict the distribution of heat and particle fluxes at the target plates of tokamaks, a comprehensive understanding of turbulence throughout the entire Scrape-Off-Layer (SOL) is imperative. This study examines divertor turbulence systematically across a broad parameter range on the TCV tokamak, including variations in magnetic field direction, plasma current $ I_{ \mathrm{p} } \in [ 140 , 320 ] $ kA, edge safety factor $ q_{ 95 } \in [ 2.6 , 4.7 ] $ and Greenwald fraction $ f_{ \mathrm{G} } \in [ 0.18 , 0.6 ] $. The TCV X-point Gas Puff Imaging (GPI) system is used to measure 2D filament properties in the inner and outer divertor region. The fluctuation levels in the divertor are found to strongly increase with density (to 80% over most of the SOL) while remaining insensitive to $ I_{ \mathrm{p} } $. The previously identified divertor-localized filaments (DLF), located on the bad curvature side of the outer divertor leg, are found to be a common feature on TCV, while no filaments are observed in the PFR. DLFs are present over most of the parameter space and in both field directions. However, they are absent, or appear only closer to the target, for sufficiently large $ \Uplambda _{ \mathrm{div} } \gtrsim 10 $ or $ q_{ 95 } \gtrsim 3.7 $. Across both $ I_{ \mathrm{p} } $ and $ f_{ \mathrm{G} } $ scans, some clear trends with $ \Uplambda _{ \mathrm{div} } $ are found for divertor filament sizes and velocities, and with target fall-off lengths of density and heat flux profiles at the outer target. This study provides important experimental insights to turbulent transport in the divertor also for comparison with self-consistent, turbulence simulations and extrapolation to future reactor conditions.


    • Book : 65(1)
    • Pub. Date : 2025
    • Page : pp.016011
    • Keyword :