Henan Tianguan Group (China)

Physical-layer covert communication is increasingly challenged by powerful detectors that exploit the fine-grained statistical structure of received signals. In realistic Radio Frequency (RF) front ends, signal-dependent impairments such as power amplifier (PA) nonlinearity and In-phase and Quadrature (I/Q) imbalance induce transmitter-specific, non-Gaussian emission statistics under which conventional Gaussian embedding rules cause detectable distribution drift. We propose ResDiff, a two-stage learn-then-embed framework that first trains a symbol-conditional diffusion prior to capture a hardware-consistent emission manifold, then embeds covert information through bounded, variance-adaptive residuals spread over a K-symbol block with coherent block decoding at the legitimate receiver. Simulations under a severe impairment profile in an Additive White Gaussian Noise (AWGN) channel show that ResDiff improves stealthiness while maintaining reliable covert recovery and that increasing K reduces detectability by lowering the per symbol embedding pressure. Overall, the results indicate that hardware-aware generative priors, combined with rate-controlled block embedding, provide a practical path to covert-in-cover-traffic communication under modern detection capabilities.

To systematically identify immune cell phenotypes causally associated with oral lichen planus (OLP) susceptibility using Mendelian randomization (MR). This two-sample MR study evaluated causal relationships between 731 immune cell phenotypes and OLP risk. Single nucleotide polymorphisms (SNPs) were linkage disequilibrium-clumped (r2<0.001, 10,000kb), filtered by F-statistic (>10), and harmonized across datasets (palindromic SNPs with intermediate allele frequencies removed). Inverse variance weighting was the primary method, complemented by MR-Egger, weighted median, and mode-based estimations. Heterogeneity (Cochran's Q), horizontal pleiotropy (MR-Egger intercept, MR pleiotropy residual sum, and outlier), and leave-one-out analyses were used for sensitivity checks. Associations passing multiple-testing correction were interpreted. Twenty-eight immune phenotypes demonstrated significant causal associations: 19 protective and 9 risk-increasing. Five of six regulatory T-cell (Treg) phenotypes showed protective effects, with odds ratios (ORs) ranging from 0.916 to 0.958, and CD3 on CD4 Tregs showing the strongest effect (OR=0.916). CD8-bright leukocytes showed the strongest risk association (OR=1.487). Eight B cell phenotypes conferred protection, particularly human leukocyte antigen DR (HLA DR) on B cells (OR=0.889). Monocyte phenotypes exhibited divergent effects: Myeloid-derived suppressor cells were protective (OR=0.840), whereas HLA DR-expressing monocytes increased risk (OR range: 1.276-1.281). This study provides genetic evidence that OLP pathogenesis involves immunoregulatory imbalance between protective regulatory mechanisms and pathogenic effector responses. Findings support precision therapeutic strategies targeting specific immune pathways and offer insights for other oral autoimmune diseases.

In existing semantic communication systems for image transmission, some images are generally reconstructed with considerably low quality and a high transmission rate. Driven by the imperative to effectively tackle these longstanding challenges, semantic communication has emerged as a critical technological advancement. In this work, we propose a Semantic Adaptive Communication (SAC) framework to transmit images with core information. Specifically, the proposed framework is composed of a Semantic Encoder (SE) and Semantic Decoder (SD), a Semantic Code Generator/Restore (SCG/SCR) module, a Compression Estimator (CE), a Channel State Information Acquisition (CSIA) module and a Wireless Channel. To fully capture both channel attention and spatial attention for semantic features, we design a Double-Attention Module (DAM) that operates alongside channel conditions, integrated into the SE and SD. Additionally, in order to predict the compress rate of the SAC, the CE works based on the channel condition and the recover quality. The experimental results demonstrate that the proposed SAC framework has a greater PSNR (increased by 0.5-2 dB) and accuracy value (91-93%), which indicate the SAC robustness, than traditional communication methods and other semantic communication algorithms in image transmission scenarios. In addition, the proposed framework achieves adaptive transmission rates with minimal sacrifice in recovery performance while enhancing the bandwidth utilization efficiency of the semantic communication system.

Spices play a crucial role in shaping the characteristic flavor of marinated meat products. This study systematically compared the effects of physical crushing, vacuum nano-collision, and steam explosion on the physical and flavor characteristics of star anise and cinnamon. The vacuum nano-collision treatment effectively reduced particle size to below 15 nm, promoting faster flavor release and improving both moisture retention and solubility. Hydrocarbons, alcohols, and aldehydes were identified as the dominant volatile compounds. Among the non-volatile components, crushed cinnamon contained the highest shikimic acid concentration (1510.1 ± 25.45 μg/kg), while star anise treated with vacuum nano-collision reached the highest level of shikimic acid (893.10 ± 23.99 μg/kg). However, the main active components of these two spices did not show significant differences between the two treatment methods. Steam explosion treatment resulted in the lowest levels of both volatile and non-volatile compounds. Flavor profiling and electronic tongue analyses further revealed that the flavor characteristics of the crushed and nano-collision groups were similar, but distinctly different from those obtained with steam explosion. Overall, these results provide new insights into the development of efficient spice processing technologies and offer practical guidance for optimizing flavor quality in marinated meat products.

We experimentally demonstrate a duplex quantum teleportation system based on a spatially multiplexing quantum light source. Two independent Bell-state measurements enable full-duplex operation, providing a symmetric architecture for scalable quantum internet.