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215 results on '"Han, Mingyang"'

2. High energy solutions of quadratic coupling Schrodinger equation with nonconstant potential

Author

Han, Mingyang and Zhang, Kai

Subjects
Mathematics - Analysis of PDEs
Abstract

In this paper, we use the variational method, especially the perturbation method, to find the perturbed high energy solutions of the quadratic coupled Schrodinger system with asymmetric asymptotic potential and their asymptotic behavior as the coupling coefficient converges to 0.

Published
2022

4. Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data: Break Training Data Bottleneck in Artificial Intelligence

Author

Qian, Chen, Gao, Yuncheng, Han, Mingyang, Wang, Zi, Ruan, Dan, Shen, Yu, Wu, Yaping, Zhou, Yirong, Wang, Chengyan, Jiang, Boyu, Tao, Ran, Wu, Zhigang, Wang, Jiazheng, Zhu, Liuhong, Guo, Yi, Kang, Taishan, Lin, Jianzhong, Gong, Tao, Yang, Chen, Fei, Guoqiang, Lin, Meijin, Guo, Di, Zhou, Jianjun, Wang, Meiyun, and Qu, Xiaobo

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Diffusion magnetic resonance imaging (MRI) is the only imaging modality for non-invasive movement detection of in vivo water molecules, with significant clinical and research applications. Diffusion MRI (DWI) acquired by multi-shot techniques can achieve higher resolution, better signal-to-noise ratio, and lower geometric distortion than single-shot, but suffers from inter-shot motion-induced artifacts. These artifacts cannot be removed prospectively, leading to the absence of artifact-free training labels. Thus, the potential of deep learning in multi-shot DWI reconstruction remains largely untapped. To break the training data bottleneck, here, we propose a Physics-Informed Deep DWI reconstruction method (PIDD) to synthesize high-quality paired training data by leveraging the physical diffusion model (magnitude synthesis) and inter-shot motion-induced phase model (motion phase synthesis). The network is trained only once with 100,000 synthetic samples, achieving encouraging results on multiple realistic in vivo data reconstructions. Advantages over conventional methods include: (a) Better motion artifact suppression and reconstruction stability; (b) Outstanding generalization to multi-scenario reconstructions, including multi-resolution, multi-b-value, multi-undersampling, multi-vendor, and multi-center; (c) Excellent clinical adaptability to patients with verifications by seven experienced doctors (p<0.001). In conclusion, PIDD presents a novel deep learning framework by exploiting the power of MRI physics, providing a cost-effective and explainable way to break the data bottleneck in deep learning medical imaging., Comment: 23 pages, 16 figures

Published
2022

9. PEDF-34 attenuates neurological deficit and suppresses astrocyte-dependent neuroinflammation by modulating astrocyte polarization via 67LR/JNK/STAT1 signaling pathway after subarachnoid hemorrhage in rats

Author

Wu, Lei, Liu, Yanchao, He, Qiuguang, Ao, Guangnan, Xu, Ningbo, He, Wangqing, Liu, Xiao, Huang, Lei, Yu, Qian, Kanamaru, Hideki, Dong, Siyuan, Zhu, Shiyi, Yuan, Ye, Han, Mingyang, Ling, Yeping, Liu, Lu, Wu, Chenyu, Zhou, You, Sherchan, Prativa, Flores, Jerry J., Tang, Jiping, Chen, Xionghui, He, Xuying, and Zhang, John H.

Published
2024
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38. Phase I/II trial of local interstitial chemotherapy with arsenic trioxide in patients with newly diagnosed glioma

Author

Han, Dayong, primary, Teng, Lei, additional, Wang, Xiaoxiong, additional, Zhen, Yunbo, additional, Chen, Xiaofeng, additional, Yang, Mingchun, additional, Gao, Ming, additional, Yang, Guang, additional, Han, Mingyang, additional, Wang, Ligang, additional, Xu, Jiajun, additional, Li, Yue, additional, Shumadalova, Alina, additional, and Zhao, Shiguang, additional

Published
2022
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43. Achieving ultra‐high molecular weight polyethylenes by vanadium aroylhydrazine‐arylolates.

Author

Suo, Hongyi, Faisca Phillips, Ana Maria, Satrudhar, Manas, Martins, Luísa M. D. R. S., G. da Silva, Maria de Fátima, Pombeiro, Armando J. L., Han, Mingyang, and Sun, Wen‐Hua

Subjects
MOLECULAR weights, VANADIUM catalysts, VANADIUM, POLYETHYLENE, ALCOHOL oxidation, HOMOGENEOUS catalysis
Abstract

A series of vanadium(V) aroylhydrazine‐arylolates is employed in ethylene polymerization to produce ultra‐high molecular weight polyethylene (UHMWPE), surprisingly extending to such coupling reactions beyond their common usage in the oxidation of hexanes and alcohols. Activated by either MAO or DMAC, the complexes V1–V3 efficiently catalyze the polymerization of ethylene into UHMWPE, that is, with an activity up to 3.37 × 106 g mol−1 h−1 (60°C) and the polyethylene obtained has a molecular weight around 3 million g mol−1, being the highest molecular weight achieved by a vanadium catalyst so far. More importantly, the significant effects of different cocatalysts are well illustrated; the catalytic system with MAO generally shows lower activity with almost one order in the magnitude than that with DMAC (0.43 vs. 3.37 × 106 g mol−1 h−1), but the polyethylenes with higher molecular weights are obtained by the system with MAO. [ABSTRACT FROM AUTHOR]

Published
2023
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