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Chiral vortex beams with tunable topological charges (TCs) hold promise for high-capacity and multi-channel information transmission. However, asymmetric vortex transport, a crucial feature for enhancing robustness and security, often disrupts channel independence by altering TCs, causing signal distortion. Here, we exploit the radial mode degree of freedom in chiral space to achieve extremely asymmetric transmission with high energy contrast, while preserving chirality and TCs. This is enabled by radial mode modulation, induced by one-way momentum from an invasive metamaterial, resulting in full vortex transmission in one direction and complete isolation in the opposite. We further realize high-contrast asymmetric image transport by encoding information into different TC channels. Notably, this approach sustains near noise-immune performance at signal-to-noise ratios as low as -25 dB, owing to TC preservation and the orthogonality of vortices with differing TCs. Our findings present a new strategy for chiral beam control and pave the way for secure, directional, and noise-resilient information transport in structured wave platforms.
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http://dx.doi.org/10.1038/s41467-025-63557-1 | DOI Listing |
Cureus
August 2025
Internal Medicine, Majmaah University, Al Majma'ah, SAU.
Background: A relationship between obesity, as measured by body mass index (BMI), and multiple sclerosis (MS) has been reported in several observational studies. This study aimed to investigate the potential causal relationship between BMI and the risk of developing MS using a Mendelian randomization (MR) approach.
Materials And Methods: A two-sample MR analysis was performed using single nucleotide polymorphisms (SNPs) associated with the exposures - BMI and MS - sourced from publicly available genome-wide association studies (GWAS) at a genome-wide significance threshold of = 5 × 10.
ISA Trans
August 2025
State Key Laboratory of Mechanical Transmissions for Advanced Equipment, Chongqing University, Chongqing 400030, China. Electronic address:
This study proposes an improved fast non-singular adaptive super-twisting control scheme based on neural network to address the precise control issues of robot joint modules. Firstly, to facilitate the application of advanced control algorithms, a second-order state-space model of the joint module considering nonlinear friction and stiffness is established using the Lagrangian energy equation method. Then, an improved fast non-singular terminal sliding surface is proposed to avoid singularity and accelerate convergence.
View Article and Find Full Text PDFNat Commun
August 2025
Institute of Acoustics, Tongji University, Shanghai, China.
Chiral vortex beams with tunable topological charges (TCs) hold promise for high-capacity and multi-channel information transmission. However, asymmetric vortex transport, a crucial feature for enhancing robustness and security, often disrupts channel independence by altering TCs, causing signal distortion. Here, we exploit the radial mode degree of freedom in chiral space to achieve extremely asymmetric transmission with high energy contrast, while preserving chirality and TCs.
View Article and Find Full Text PDFJ Chem Inf Model
August 2025
Recursion, Schrödinger Building, Oxford Science Park, Oxford OX4 4GE, U.K.
Neural network potentials trained on quantum-mechanical data can calculate molecular interactions with relatively high speed and accuracy. However, not all neural network potentials are suitable for molecular simulations, as they might exhibit instabilities, nonphysical behavior, or lack accuracy. To assess the reliability of neural network potentials, a series of tests is conducted during model training, in the gas phase, and in the condensed phase.
View Article and Find Full Text PDFCommun Biol
August 2025
Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Chinese Academy of Medical Sciences Research Unit (No.2018RU006), Peking University, Beijing
White matter tracts (WMTs), which mediate information transmission in the brain, are closely associated with the pathogenesis of psychiatric disorders, yet the causality of their associations remain unclear. Thus, we employed two-sample bidirectional Mendelian randomization to explore the causality between WMTs and 10 psychiatric disorders. We found that one standard deviation changes of WMTs metrics modified risks for 8 psychiatric disorders by 2·2% to 71·4%.
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