A5053673841- Metamaterials and Metasurfaces Applications
- Plasmonic and Surface Plasmon Research
- Congenital Ear and Nasal Anomalies
- Otitis Media and Relapsing Polychondritis
- Neural Networks and Reservoir Computing
- Influenza Virus Research Studies
- S100 Proteins and Annexins
- MicroRNA in disease regulation
- Advanced Glycation End Products research
- Biochemical effects in animals
- Trace Elements in Health
- Photonic and Optical Devices
- Energy Harvesting in Wireless Networks
- Viral gastroenteritis research and epidemiology
- Animal Vocal Communication and Behavior
- Optical Network Technologies
- Healthcare and Venom Research
- Drug Transport and Resistance Mechanisms
- Vascular Anomalies and Treatments
- Thermal Radiation and Cooling Technologies
- Photonic Crystals and Applications
- Immune Response and Inflammation
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Alzheimer's disease research and treatments
Xiamen University
2021-2025
Shaoxing People's Hospital
2024
Institute of Microbiology
2024
Chinese Academy of Sciences
2024
Dali University
2020-2022
The research of metamaterial shows great potential in the field solar energy harvesting. In past decade, design broadband absorber (SMA) has attracted a surge interest. conventional typically requires brute-force optimizations with huge sampling space structure parameters. Very recently, deep learning (DL) provided promising way design, but its application on SMA development is barely reported due to complicated features spectrum. Here, this work develops DL model based spectrum transformer...
Abstract Researchers have paid great attention to pursuing metal‐free nanostructures as alternatives metallic counterparts in the field of surface‐enhanced Raman scattering (SERS) for label‐free sensing. However, these investigations are hindered by tiny enhancement factor local near field. Here, design all‐dielectric SERS metasurfaces is proposed with quasi‐bound states continuum (Q‐BIC), inspired transformer‐based deep learning. By manipulating incident angle, mechanism strong coupling...
Abstract Optical metasurfaces with pronounced spectral characteristics are promising for sensor applications. Currently, deep learning (DL) offers a rapid manner to design various metasurfaces. However, conventional DL models usually assumed as black boxes, which is difficult explain how model learns physical features, and they predict optical responses of in fuzzy way. This makes them incapable capturing critical features precisely, such high quality (Q) resonances, hinders their use...
Abstract Acute ischemic stroke triggers complex systemic pathological responses for which the exploration of drug resources remains a challenge. Wasp venom extracted from Vespa magnifica (Smith, 1852) is most commonly used to treat rheumatoid arthritis as well neurological disorders. Vespakinin-M (VK), natural peptide wasp venom, has remained largely unexplored stroke. Herein, we first confirmed structure, stability, toxicity and distribution VK its penetration into blood–brain barrier. (150...
Abstract The design of plasmonic stack metamaterials (PSMs) is critical due to their promising potentials in the fields optical absorbers, sensors, and thermal irradiation. Compared with classical circuit‐based optimization, by deep learning (DL) has attracted greater attention, since it not essential obtain equivalent circuit parameters. Currently, a DL model for higher‐precision design, especially complicated spectral features, still quite demand. Here, divide‐and‐conquer based on...
Rheumatoid arthritis (RA) is an autoimmune disease. Wasp venom (WV), which considered as a traditional folk medicine in Jingpo nationality Yunnan, China, relieves rheumatoid arthritis. The current study aimed to investigate the effect of wasp ameliorating symptoms experimental rats. We established model type II collagen‐ (CII‐) induced (CIA) SD rats and examined inhibition inflammation response. antiarthritic effects WV were evaluated through paw swelling, histopathological score...
Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide. The dysfunction zinc homeostasis participates in early and advancing malignancy HCC. However, prognostic ability HCC has not been clarified yet. Here, we showed a zinc-homeostasis related risk model Five signature genes including
Abstract The field of advanced metamaterial design has witnessed the great progress artificial intelligence (AI) for science. Typically, widely used deep learning is a purely data‐driven approach. However, it often assumed as black box performing interpolation among training data in fuzzy way, which suffers from poor generalization outside domain critical physical parameters. Inspired by physics‐guided learning, circuit‐theory‐informed neural network (CTINN) order to strengthen proposed. A...
Toll-like receptor 9 (TLR9) recognises unmethylated CpG DNA and activates a signalling cascade, leading to the production of inflammatory cytokines such as TNF-α, IL-1, IL-6 IL-12 via adaptor protein MyD88. However, specific sequence structural requirements for recognition binding TLR9 are unknown. Moreover, 3D structures TLR9-ODN complex have not been determined. In this study, we propose reliable model interaction ECD with ODN using bioinformatics tools. The three-dimensional two ECD-CpG...
The influenza neuraminidase (NA) is a potential target for the development of next-generation vaccine, but its antigenicity not well understood. Here, we isolate an anti-N6 human monoclonal antibody, named 18_14D, from H5N6 avian virus (AIV) infected patient. antibody weakly inhibits enzymatic activity confers protection in female mice, mainly via ADCC function. cryo-EM structure shows that 18_14D binds to unique epitope on lateral surface N6 tetramer, preventing formation tightly closed NA...
Objective To investigate the clinical and audiological characteristics of non-elder patients with relapsing polychondritis (RP). Methods Clinical data RP under 60 years old were collected consecutively analyzed. The t- test Mann-Whitney U used for statistical analysis between two groups in quantitative normal distribution non-normal respectively, while Chi-square was use qualitative analysis. Results One hundred seventy four complete who fulfilled Michet criteria enrolled a...
Objective To investigate clinical and imaging characteristics of patients with relapsing polychondritis (RP) insidious airway involvement. Methods Data collected prospectively consecutively for the diagnosis RP their disease activity evaluation was analyzed. The t-test Mann-Whitney U test were used statistical analysis between two groups forquantitative datain normal distri-bution non-normal distribution respectively, while Chi-square use qualitative data analysis. Results Two...