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187 results on '"Chen, Hongyuan"'

1. PGAHum: Prior-Guided Geometry and Appearance Learning for High-Fidelity Animatable Human Reconstruction

Author

Wang, Hao, Xu, Qingshan, Chen, Hongyuan, and Ma, Rui

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Recent techniques on implicit geometry representation learning and neural rendering have shown promising results for 3D clothed human reconstruction from sparse video inputs. However, it is still challenging to reconstruct detailed surface geometry and even more difficult to synthesize photorealistic novel views with animated human poses. In this work, we introduce PGAHum, a prior-guided geometry and appearance learning framework for high-fidelity animatable human reconstruction. We thoroughly exploit 3D human priors in three key modules of PGAHum to achieve high-quality geometry reconstruction with intricate details and photorealistic view synthesis on unseen poses. First, a prior-based implicit geometry representation of 3D human, which contains a delta SDF predicted by a tri-plane network and a base SDF derived from the prior SMPL model, is proposed to model the surface details and the body shape in a disentangled manner. Second, we introduce a novel prior-guided sampling strategy that fully leverages the prior information of the human pose and body to sample the query points within or near the body surface. By avoiding unnecessary learning in the empty 3D space, the neural rendering can recover more appearance details. Last, we propose a novel iterative backward deformation strategy to progressively find the correspondence for the query point in observation space. A skinning weights prediction model is learned based on the prior provided by the SMPL model to achieve the iterative backward LBS deformation. Extensive quantitative and qualitative comparisons on various datasets are conducted and the results demonstrate the superiority of our framework. Ablation studies also verify the effectiveness of each scheme for geometry and appearance learning.

Published
2024

4. Bioactive extracellular matrix scaffolds engineered with proangiogenic proteoglycan mimetics and loaded with endothelial progenitor cells promote neovascularization and diabetic wound healing

Author

He, Siqi, Walimbe, Tanaya, Chen, Hongyuan, Gao, Kewa, Kumar, Priyadarsini, Wei, Yifan, Hao, Dake, Liu, Ruiwu, Farmer, Diana L, Lam, Kit S, Zhou, Jianda, Panitch, Alyssa, and Wang, Aijun

Subjects
Engineering, Biomedical Engineering, Stem Cell Research, Diabetes, Stem Cell Research - Nonembryonic - Non-Human, Wound Healing and Care, Regenerative Medicine, Biotechnology, 5.2 Cellular and gene therapies, Cardiovascular, Diabetic ischemic wound, ECM scaffold, Endothelial progenitor cells, Neovascularization, Wound healing, Medicinal and biomolecular chemistry, Biomedical engineering, Materials engineering
Abstract

Diabetic ischemic wound treatment remains a critical clinical challenge. Neovascularization plays a significant role in wound healing during all stages of the tissue repair process. Strategies that enhance angiogenesis and neovascularization and improve ischemic pathology may promote the healing of poor wounds, particularly diabetic wounds in highly ischemic conditions. We previously identified a cyclic peptide LXW7 that specifically binds to integrin αvβ3 on endothelial progenitor cells (EPCs) and endothelial cells (ECs), activates vascular endothelial growth factor (VEGF) receptors, and promotes EC growth and maturation. In this study, we designed and synthesized a multi-functional pro-angiogenic molecule by grafting LXW7 and collagen-binding peptides (SILY) to a dermatan sulfate (DS) glycosaminoglycan backbone, named LXW7-DS-SILY, and further employed this multi-functional molecule to functionalize collagen-based extracellular matrix (ECM) scaffolds. We confirmed that LXW7-DS-SILY modification significantly promoted EPC attachment and growth on the ECM scaffolds in vitro and supported EPC survival in vivo in the ischemic environment. When applied in an established Zucker Diabetic Fatty (ZDF) rat ischemic skin flap model, LXW7-DS-SILY-functionalized ECM scaffolds loaded with EPCs significantly improved wound healing, enhanced neovascularization and modulated collagen fibrillogenesis in the ischemic environment. Altogether, this study provides a promising novel treatment to accelerate diabetic ischemic wound healing, thereby reducing limb amputation and mortality of diabetic patients.

Published
2022

6. Association between health insurance cost-sharing and choice of hospital tier for cardiovascular diseases in China: a prospective cohort study

Author

Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Li, Liming, Wang, Chen, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Barnard, Maxim, Bennett, Derrick, Boxall, Ruth, Chan, Kahung, Chen, Yiping, Clarke, Johnathan, Du, Huaidong, Mohamed, Ahmed Edris, Fry, Hannah, Gilbert, Simon, Im, Pek Kei, Iona, Andri, Kakkoura, Maria, Kartsonaki, Christiana, Lam, Hubert, Lin, Kuang, Liu, James, Mazidi, Mohsen, Millwood, Iona, Morris, Sam, Nie, Qunhua, Pozaricki, Alfred, Ryder, Paul, Said, Saredo, Schmidt, Dan, Stevens, Becky, Turnbull, Iain, Wang, Baihan, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Yao, Pang, Han, Xiao, Hou, Can, Xia, Qingmei, Liu, Chao, Pei, Pei, Sun, Dianjianyi, Yu, Canqing, Chen, Naying, Liu, Duo, Tang, Zhenzhu, Chen, Ningyu, Jiang, Qilian, Lan, Jian, Li, Mingqiang, Liu, Yun, Meng, Fanwen, Meng, Jinhuai, Pan, Rong, Qin, Yulu, Wang, Ping, Wang, Sisi, Wei, Liuping, Zhou, Liyuan, Dong, Caixia, Ge, Pengfei, Ren, Xiaolan, Li, Zhongxiao, Mao, Enke, Wang, Tao, Zhang, Hui, Zhang, Xi, Chen, Jinyan, Hu, Ximin, Wang, Xiaohuan, Guo, Zhendong, Li, Huimei, Li, Yilei, Weng, Min, Wu, Shukuan, Yan, Shichun, Zou, Mingyuan, Zhou, Xue, Guo, Ziyan, Kang, Quan, Li, Yanjie, Yu, Bo, Xu, Qinai, Chang, Liang, Fan, Lei, Feng, Shixian, Zhang, Ding, Zhou, Gang, Gao, Yulian, He, Tianyou, He, Pan, Hu, Chen, Sun, Huarong, Zhang, Xukui, Chen, Biyun, Fu, Zhongxi, Huang, Yuelong, Liu, Huilin, Xu, Qiaohua, Yin, Li, Long, Huajun, Xu, Xin, Zhang, Hao, Zhang, Libo, Su, Jian, Tao, Ran, Wu, Ming, Yang, Jie, Zhou, Jinyi, Zhou, Yonglin, Hu, Yihe, Hua, Yujie, Jin, Jianrong, Liu, Fang, Liu, Jingchao, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Jun, Cheng, Liang, Du, Ranran, Gao, Ruqin, Li, Feifei, Li, Shanpeng, Liu, Yongmei, Ning, Feng, Pang, Zengchang, Sun, Xiaohui, Tian, Xiaocao, Wang, Shaojie, Zhai, Yaoming, Zhang, Hua, Hou, Wei, Lv, Silu, Wang, Junzheng, Chen, Xiaofang, Wu, Xianping, Zhang, Ningmei, Chang, Xiaoyu, Li, Jianguo, Liu, Jiaqiu, Luo, Guojin, Sun, Qiang, Zhong, Xunfu, Gong, Weiwei, Hu, Ruying, Wang, Hao, Wang, Meng, Yu, Min, Chen, Lingli, Gu, Qijun, Pan, Dongxia, Wang, Chunmei, Xie, Kaixu, Zhang, Xiaoyi, Chen, Hongyuan, Liu, Liyang, Gou, Haiyan, Wang, Xun, Ding, Jing, Zhang, Ning, Mao, Yueshi, Zhou, Shanshan, Jin, Lirong, Cheng, Xin, Lu, Yun, Chen, Li, Hao, Zilong, Xing, Xiaona, Wang, Lei, Ju, Naixin, Mao, Yiting, Li, Shuya, Du, Peng, Wang, Deren, Sun, Xiaojia, You, Shihao, Wang, Weizhi, Zhu, Yanmei, Li, Xiaojiu, Dong, Yi, Levy, Muriel, Buckell, John, Wu, Nina, Yip, Winnie, and Mihaylova, Borislava

Published
2024
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17. Association between health insurance cost-sharing and choice of hospital tier for cardiovascular diseases in China: a prospective cohort study

Author

Levy, Muriel, primary, Buckell, John, additional, Clarke, Robert, additional, Wu, Nina, additional, Pei, Pei, additional, Sun, Dianjianyi, additional, Avery, Daniel, additional, Zhang, Hua, additional, Lv, Jun, additional, Yu, Canqing, additional, Li, Liming, additional, Chen, Zhengming, additional, Yip, Winnie, additional, Chen, Yiping, additional, Mihaylova, Borislava, additional, Chen, Junshi, additional, Collins, Rory, additional, Wang, Chen, additional, Peto, Richard, additional, Walters, Robin, additional, Barnard, Maxim, additional, Bennett, Derrick, additional, Boxall, Ruth, additional, Chan, Kahung, additional, Clarke, Johnathan, additional, Du, Huaidong, additional, Mohamed, Ahmed Edris, additional, Fry, Hannah, additional, Gilbert, Simon, additional, Im, Pek Kei, additional, Iona, Andri, additional, Kakkoura, Maria, additional, Kartsonaki, Christiana, additional, Lam, Hubert, additional, Lin, Kuang, additional, Liu, James, additional, Mazidi, Mohsen, additional, Millwood, Iona, additional, Morris, Sam, additional, Nie, Qunhua, additional, Pozaricki, Alfred, additional, Ryder, Paul, additional, Said, Saredo, additional, Schmidt, Dan, additional, Stevens, Becky, additional, Turnbull, Iain, additional, Wang, Baihan, additional, Wang, Lin, additional, Wright, Neil, additional, Yang, Ling, additional, Yang, Xiaoming, additional, Yao, Pang, additional, Han, Xiao, additional, Hou, Can, additional, Xia, Qingmei, additional, Liu, Chao, additional, Chen, Naying, additional, Liu, Duo, additional, Tang, Zhenzhu, additional, Chen, Ningyu, additional, Jiang, Qilian, additional, Lan, Jian, additional, Li, Mingqiang, additional, Liu, Yun, additional, Meng, Fanwen, additional, Meng, Jinhuai, additional, Pan, Rong, additional, Qin, Yulu, additional, Wang, Ping, additional, Wang, Sisi, additional, Wei, Liuping, additional, Zhou, Liyuan, additional, Dong, Caixia, additional, Ge, Pengfei, additional, Ren, Xiaolan, additional, Li, Zhongxiao, additional, Mao, Enke, additional, Wang, Tao, additional, Zhang, Hui, additional, Zhang, Xi, additional, Chen, Jinyan, additional, Hu, Ximin, additional, Wang, Xiaohuan, additional, Guo, Zhendong, additional, Li, Huimei, additional, Li, Yilei, additional, Weng, Min, additional, Wu, Shukuan, additional, Yan, Shichun, additional, Zou, Mingyuan, additional, Zhou, Xue, additional, Guo, Ziyan, additional, Kang, Quan, additional, Li, Yanjie, additional, Yu, Bo, additional, Xu, Qinai, additional, Chang, Liang, additional, Fan, Lei, additional, Feng, Shixian, additional, Zhang, Ding, additional, Zhou, Gang, additional, Gao, Yulian, additional, He, Tianyou, additional, He, Pan, additional, Hu, Chen, additional, Sun, Huarong, additional, Zhang, Xukui, additional, Chen, Biyun, additional, Fu, Zhongxi, additional, Huang, Yuelong, additional, Liu, Huilin, additional, Xu, Qiaohua, additional, Yin, Li, additional, Long, Huajun, additional, Xu, Xin, additional, Zhang, Hao, additional, Zhang, Libo, additional, Su, Jian, additional, Tao, Ran, additional, Wu, Ming, additional, Yang, Jie, additional, Zhou, Jinyi, additional, Zhou, Yonglin, additional, Hu, Yihe, additional, Hua, Yujie, additional, Jin, Jianrong, additional, Liu, Fang, additional, Liu, Jingchao, additional, Lu, Yan, additional, Ma, Liangcai, additional, Tang, Aiyu, additional, Zhang, Jun, additional, Cheng, Liang, additional, Du, Ranran, additional, Gao, Ruqin, additional, Li, Feifei, additional, Li, Shanpeng, additional, Liu, Yongmei, additional, Ning, Feng, additional, Pang, Zengchang, additional, Sun, Xiaohui, additional, Tian, Xiaocao, additional, Wang, Shaojie, additional, Zhai, Yaoming, additional, Hou, Wei, additional, Lv, Silu, additional, Wang, Junzheng, additional, Chen, Xiaofang, additional, Wu, Xianping, additional, Zhang, Ningmei, additional, Chang, Xiaoyu, additional, Li, Jianguo, additional, Liu, Jiaqiu, additional, Luo, Guojin, additional, Sun, Qiang, additional, Zhong, Xunfu, additional, Gong, Weiwei, additional, Hu, Ruying, additional, Wang, Hao, additional, Wang, Meng, additional, Yu, Min, additional, Chen, Lingli, additional, Gu, Qijun, additional, Pan, Dongxia, additional, Wang, Chunmei, additional, Xie, Kaixu, additional, Zhang, Xiaoyi, additional, Chen, Hongyuan, additional, Liu, Liyang, additional, Gou, Haiyan, additional, Wang, Xun, additional, Ding, Jing, additional, Zhang, Ning, additional, Mao, Yueshi, additional, Zhou, Shanshan, additional, Jin, Lirong, additional, Cheng, Xin, additional, Lu, Yun, additional, Chen, Li, additional, Hao, Zilong, additional, Xing, Xiaona, additional, Wang, Lei, additional, Ju, Naixin, additional, Mao, Yiting, additional, Li, Shuya, additional, Du, Peng, additional, Wang, Deren, additional, Sun, Xiaojia, additional, You, Shihao, additional, Wang, Weizhi, additional, Zhu, Yanmei, additional, Li, Xiaojiu, additional, and Dong, Yi, additional

Published
2024
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24. Theoretical Study and Virtual Screening of Nitrogen‐Containing Corrosion Inhibitors Based on Quantitative Structure–Activity Relationship.

Author

Wang, Nanwei, Chen, Hongyuan, Liu, Zhihao, Wang, Yingjie, Jian, Jinli, Wen, Bingqian, Chen, Yanhong, Liu, Yi, Wang, Xingyu, and Qiu, Kui

Subjects
*STRUCTURE-activity relationships, *MOLECULAR dynamics, *DENSITY functional theory, *MILD steel, *DENSITY functionals
Abstract

Nitrogen‐containing corrosion inhibitors have a wide range of promising applications, and current conventional corrosion design and evaluation methods are largely based on empirical speculation and extensive exploratory experiments. Unfortunately, these efforts are often associated with high costs, long lead times, and a lot of "blind work." In this work, we have computationally screened the quantum chemical parameters of five nitrogen‐containing corrosion inhibitor molecules and their corrosion inhibition properties by a molecular simulation method based on density functional theory calculations. The ultimate relationship between the corrosion inhibition efficiency (IE) of an adsorbent and its quantum chemical parameters was analyzed using linear regression by comparing the various quantum mechanical parameters of each inhibitor molecule, as well as the fraction of electrons (ΔN) that are transferred to the metal surface from the chemisorbed inhibitor molecule. Five different nitrogen‐containing corrosion inhibitor molecules were screened based on structural similarity. Meanwhile, their corrosion inhibition performance was evaluated using the most relevant structure–activity equations. The results showed that the synergistic effect between the corrosion inhibition performance and the orbital energies of highest occupied molecular orbital and lowest unoccupied molecular orbital was optimal under the HF/6‐31G(d) method, and the corresponding structure–activity relationship was established. Based on these results, a specific inhibitor molecule was found to have excellent corrosion inhibition performance with a predicted corrosion IE of up to 94.12 %. [ABSTRACT FROM AUTHOR]

Published
2024
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28. 1195 Discovery of CBO421, a first-in-class drug Fc-conjugate (DFC), targeting CD73 in cancer

Author

Dohrmann, Simon, primary, Levin, James, additional, Dedeic, Nicholas, additional, Almaguer, Amanda, additional, Zuill, Doug, additional, Abelovski, Elizabeth, additional, Grewal, Rajvir, additional, Fortier, Joanne, additional, Zhao, Qiping, additional, Hernandez, Maria, additional, Amundson, Karin, additional, Moniz, Madison, additional, Chen, Hongyuan, additional, Panicker, Dhanya, additional, Lam, Thanh, additional, Brady, Thomas P, additional, Borchardt, Allen, additional, Cole, Jason N, additional, and Tari, Leslie W, additional

Published
2023
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29. Association between circular stapler size and anastomotic leakage after laparoscopic low anterior resection for rectal cancer

Author

Jiang, Yugang, Chen, Hongyuan, Kong, Meng, Sun, Dong, and Sheng, Hongguang

Subjects
Laparoscopy -- Complications and side effects, Laparoscopic surgery -- Complications and side effects, Surgical anastomosis -- Risk factors -- Prevention, Colorectal cancer -- Diagnosis -- Care and treatment, Anastomosis -- Risk factors -- Prevention, Rectum -- Medical examination, Health
Abstract

Byline: Yugang. Jiang, Hongyuan. Chen, Meng. Kong, Dong. Sun, Hongguang. Sheng Background: Anastomotic leakage (AL) is one of the most severe and frequent complications occurring after laparoscopic low anterior resection [...]

Published
2022

33. A modified natural small molecule inhibits triple-negative breast cancer growth by interacting with Tubb3

Author

Han, Hongwei, primary, Yang, Minkai, additional, Wen, Zhongling, additional, Wang, Xuan, additional, Lai, Xiaohui, additional, Zhang, Yahan, additional, Fang, Rongjun, additional, Yin, Tongming, additional, Yang, Xiaorong, additional, Wang, Xiaoming, additional, Zhao, Quan, additional, Qi, Jinliang, additional, Chen, Hongyuan, additional, Lin, Hongyan, additional, and Yang, Yonghua, additional

Published
2023
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37. Lower Levelized Cost of Energy Achievement of Silicon Heterojunction Solar Modules with Low Water Vapor Transmission Rate Encapsulants

Author

Bai, Yu, primary, Zhao, Yilin, additional, Li, Junjun, additional, Chen, Hongyuan, additional, Lambertz, Andreas, additional, Qiu, Qingqing, additional, Qian, Cheng, additional, Shi, Jianhua, additional, Liu, Wenzhu, additional, Chen, Tao, additional, Yu, Junsheng, additional, Ding, Kaining, additional, and Yu, Jian, additional

Published
2023
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43. Interface-enhanced superconductivity in monolayer 1T′-MoTe2 on SrTiO3(001).

Author

Yang, Bo, Zhao, Chenxiao, Xia, Bing, Ma, Haiyang, Chen, Hongyuan, Cai, Jie, Yang, Hao, Liu, Xiaoxue, Liu, Liang, Guan, Dandan, Wang, Shiyong, Li, Yaoyi, Liu, Canhua, Zheng, Hao, and Jia, Jinfeng

Subjects
STRONTIUM titanate, SUPERCONDUCTIVITY, SCANNING tunneling microscopy, CRITICAL temperature, MAGNETIZATION
Abstract

Introducing superconductivity into two-dimensional (2D) films with nontrivial topology has been intensively pursued as one of the feasible scenarios to realize 1D topological superconductor. Prevailing endeavors mostly exploit the external gating or proximity effect of a traditional superconductor, by which the critical temperatures ( T c ) are limited to several Kelvin range. Here, we report on the discovery of interface-enhanced superconductivity in monolayer 1T′-MoTe2 film. A thermally driven phase transition from Mo6Te6 nanowires to 1T′-MoTe2 films, grown on SrTiO3(001) surface by the molecular beam epitaxial methods, is demonstrated. A combined study of scanning tunneling microscopy/spectroscopy, electrical transport and magnetization measurements indicates the T c of MoTe2 film is around 30 K, two orders of magnitude larger than its 3D counterpart crystal. This study shows that interfacial engineering is an efficient way to tune monolayer 1T′-MoTe2 film into superconducting states, and thus may pave the way toward higher- T c 1D intrinsic topological superconductivity. [ABSTRACT FROM AUTHOR]

Published
2023
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49. Parkinson’s Disease rs117896735 Variant Regulates INPP5F Expression in Brain Tissues and Increases Risk of Alzheimer’s Disease

Author

Xue, Feng, primary, Gao, Luyan, additional, Chen, TingTing, additional, Chen, Hongyuan, additional, Zhang, Haihua, additional, Wang, Tao, additional, Han, Zhifa, additional, Gao, Shan, additional, Wang, Longcai, additional, Hu, Yang, additional, Tang, Jiangwei, additional, Huang, Lei, additional, Liu, Guiyou, additional, and Zhang, Yan, additional

Published
2022
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