Min Yao

Iterative reconstruction of industrial positron images with generative networks

Mingwei Zhu, Min Zhao, Min Yao

Positron imaging has shown great potential in industrial non-destructive testing due to its high sensitivity and ability to reveal internal structures of complex components. However, reconstructing high-quality images from positron emission data remains challenging, particularly under limited sampling and ill-posed inverse problems, …

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Enhanced Physics-Informed Neural Networks Using Adaptive Residual Weighting for Flow Simulations

Yiming Lu, Hua Zhou, Min Yao, Ren Ren

Physics-Informed Neural Networks (PINNs) have shown significant potential in solving partial differential equations (PDEs). However, effectively balancing residual contributions in the loss function remains an important challenge. To address this issue, we propose an improved PINN framework that incorporates an adaptive weighting …

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Detecting ectopic thymus in thymoma-associated myasthenia gravis through flow cytometry analysis of CD3mediumTCRvβmediumCD4+CD8+ T cells and its clinical significance

Yong-Qiang Ao, Jie Deng, Jiahao Jiang, Min Yao et autres

Background: Traditional histological methods for identifying ectopic thymus (ET) have significant limitations including high risk of false negatives. This study aims to evaluate the effectiveness of flow cytometry in detecting ETs in patients undergoing total thymectomy. Methods: We analyzed 864 samples from …

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Long-span delivery of differentiable hybrid robots for restoration of neural connections

Jie Shen, Yun Wang, Min Yao, Shubo Liu et autres

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ID-Gait: Fine-Grained Human Gait State Recognition Using Wi-Fi Signal

Min Yao, Liyang Zhang, Ran Lai, Mingda Han et autres

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Shikonin delivery nano system based on calcium alginate for targeted therapy of inflammatory bowel disease by modulating macrophage polarization

Min Yao, Mengjiao Ren, Wenxing Ding, Xiang Li et autres

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ROS-responsive nano-medicine for navigating autophagy to enhance targeted therapy of inflammatory bowel disease

You Chen, Juewen Feng, Yang Chen, Chuanhe Xia et autres

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Multi-depth branch network for efficient image super-resolution

Huiyuan Tian, Li Zhang, Shijian Li, Min Yao et autres

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Corrigendum to “Deep-learning-assisted optical steganographic encryption via ghost encoding and binary hologram” [Optics and Lasers in Engineering 172 (2024) 107891]

Jidong Xue, Xiaogang Wang, Qingming Zhou, Lin Zhang et autres

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pH-Sensitive Nanoparticles for Colonic Delivery Anti-miR-301a in Mouse Models of Inflammatory Bowel Diseases

Junshan Wang, Min Yao, Jiafeng Zou, Wenxing Ding et autres

Though the anti-miR-301a (anti-miR) is a promising treatment strategy for inflammatory bowel disease (IBD), the degradability and the poor targeting of the intestine are a familiar issue. This study aimed to develop a multifunctional oral nanoparticle delivery system loaded with anti-miR for …

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Hydrogen sulfide responsive nanoplatforms: Novel gas responsive drug delivery carriers for biomedical applications

Jiafeng Zou, Zeting Yuan, Xiaojie Chen, You Chen et autres

Hydrogen sulfide (H2S) is a toxic, essential gas used in various biological and physical processes and has been the subject of many targeted studies on its role as a new gas transmitter. These studies have mainly focused on the production and pharmacological …

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Deep-learning-assisted optical steganographic encryption via ghost encoding and binary hologram

Jidong Xue, Xiaogang Wang, Qingming Zhou, Lin Zhang et autres

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