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2,186 results on '"Tan, Ning"'

1. Role of land-ocean interactions in stepwise Northern Hemisphere Glaciation.

Author

Zhong, Yi, Tan, Ning, Abell, Jordan, Sun, Chijun, Kaboth-Bahr, Stefanie, Ford, Heather, Herbert, Timothy, Pullen, Alex, Horikawa, Keiji, Yu, Jimin, Struve, Torben, Weber, Michael, Clift, Peter, Larrasoaña, Juan, Lu, Zhengyao, Yang, Hu, Bahr, André, Chen, Tianyu, Zhang, Jingyu, Wei, Cao, Xia, Wenyue, Yang, Sheng, and Liu, Qingsong

Abstract

The investigation of triggers causing the onset and intensification of Northern Hemisphere Glaciation (NHG) during the late Pliocene is essential for understanding the global climate system, with important implications for projecting future climate changes. Despite their critical roles in the global climate system, influences of land-ocean interactions on high-latitude ice sheets remain largely unexplored. Here, we present a high-resolution Asian dust record from Ocean Drilling Program Site 1208 in the North Pacific, which lies along the main route of the westerlies. Our data indicate that atmosphere-land-ocean interactions affected aeolian dust emissions through modulating moisture and vegetation in dust source regions, highlighting a critical role of terrestrial systems in initiating the NHG as early as 3.6 Myr ago. Combined with additional multi-proxy and model results, we further show that westerly wind strength was enhanced, mainly at low-to-middle tropospheric levels, during major glacial events at about 3.3 and 2.7 Myr ago. We suggest that coupled responses of Earths surface dynamics and atmospheric circulation in the Plio-Pleistocene likely involved feedbacks related to changes in paleogeography, ocean circulation, and global climate.

Published
2024

3. Decomposition of physical processes controlling EASM precipitation changes during the mid-Piacenzian: new insights into data–model integration

Author

Sun, Yong, Wu, Haibin, Ding, Lin, Chen, Lixin, Stepanek, Christian, Zhao, Yan, Tan, Ning, Su, Baohuang, Yuan, Xiayu, Zhang, Wenchao, Liu, Bo, Hunter, Stephen, Haywood, Alan, Abe-Ouchi, Ayako, Otto-Bliesner, Bette, Contoux, Camille, Lunt, Daniel J., Dolan, Aisling, Chandan, Deepak, Lohmann, Gerrit, Dowsett, Harry, Tindall, Julia, Baatsen, Michiel, Peltier, W. Richard, Li, Qiang, Feng, Ran, Salzmann, Ulrich, Chan, Wing-Le, Zhang, Zhongshi, Williams, Charles J. R., and Ramstein, Gilles

Published
2024
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7. Responsive CPG-Based Locomotion Control for Quadruped Robots

Author

Zhang, Yihui, Hu, Cong, Qiu, Binbin, Tan, Ning, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Luo, Biao, editor, Cheng, Long, editor, Wu, Zheng-Guang, editor, Li, Hongyi, editor, and Li, Chaojie, editor

Published
2024
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8. GRF-GMM: A Trajectory Optimization Framework for Obstacle Avoidance in Learning from Demonstration

Author

Ye, Bin, Yu, Peng, Hu, Cong, Qiu, Binbin, Tan, Ning, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Luo, Biao, editor, Cheng, Long, editor, Wu, Zheng-Guang, editor, Li, Hongyi, editor, and Li, Chaojie, editor

Published
2024
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9. Computer Simulations of Applying Zhang Inequation Equivalency and Solver of Neurodynamics to Redundant Manipulators at Acceleration Level

Author

Lu, Ji, Yang, Min, Tan, Ning, Hu, Haifeng, Zhang, Yunong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Luo, Biao, editor, Cheng, Long, editor, Wu, Zheng-Guang, editor, Li, Hongyi, editor, and Li, Chaojie, editor

Published
2024
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12. Dihydroartemisinin suppresses renal fibrosis in mice by inhibiting DNA-methyltransferase 1 and increasing Klotho.

Author

Zhou, Wei, Chen, Min-Min, Liu, Hui-Ling, Si, Zi-Lin, Wu, Wen-Hui, Jiang, Hong, Wang, Lin-Xiao, An, Xiao-Fei, Su, Ke, Chen, Cheng, Tan, Ning-Hua, Zhang, Zhi-Hao, and Vaziri, Nosratola

Subjects
5-azacytidine, DNMT1, Klotho, affinity-based proteome profiling, dihydroartemisinin, renal fibrosis, Adenine, Animals, Artemisinins, Azacitidine, Biotin, DNA, DNA Modification Methylases, Fibrosis, Glucuronidase, HEK293 Cells, Humans, Kidney, Klotho Proteins, Mice, Proteasome Endopeptidase Complex, Renal Insufficiency, Chronic, Transforming Growth Factor beta, Transforming Growth Factor beta1, Ubiquitins, Ureteral Obstruction, beta Catenin
Abstract

Renal fibrosis is an unavoidable end result of all forms of progressive chronic kidney diseases (CKD). Discovery of efficacious drugs against renal fibrosis is in crucial need. In a preliminary study we found that a derivative of artemisinin, dihydroartemisinin (DHA), exerted strong renoprotection, and reversed renal fibrosis in adenine-induced CKD mouse model. In this study we investigated the anti-fibrotic mechanisms of DHA, particularly its specific target in renal cells. Renal fibrosis was induced in mice by unilateral ureteral obstruction (UUO) or oral administration of adenine (80 mg · kg-1), the mice received DHA (30 mg · kg-1 · d-1, i.g.) for 14 or 21 days, respectively. We showed that DHA administration markedly attenuated the inflammation and fibrotic responses in the kidneys and significantly improved the renal function in both the renal fibrosis mouse models. In adenine-treated mice, DHA was more effective than 5-azacytidine against renal fibrosis. The anti-fibrotic effects of DHA were also observed in TGF-β1-treated HK-2 cells. In order to determine the target protein of DHA, we conducted pull-down technology coupled with shotgun proteomics using a small-molecule probe based on the structure of DHA (biotin-DHA). As a results, DNA methyltransferase 1 (DNMT1) was identified as the anti-fibrotic target of DHA in 3 different types of renal cell lines (HK-2, HEK293 and 3T3). We demonstrated that DHA directly bound to Asn 1529 and Thr 1528 of DNMT1 with a Kd value of 8.18 μM. In primary mouse renal tubular cells, we showed that DHA (10 μM) promoted DNMT1 degradation via the ubiquitin-proteasome pathway. DHA-reduced DNMT1 expression effectively reversed Klotho promoter hypermethylation, which led to the reversal of Klotho protein loss in the kidney of UUO mice. This subsequently resulted in inhibition of the Wnt/β-catenin and TGF-β/Smad signaling pathways and consequently conferred renoprotection in the animals. Knockdown of Klotho abolished the renoprotective effect of DHA in UUO mice. Our study reveals a novel pharmacological activity for DHA, i.e., renoprotection. DHA exhibits this effect by targeting DNMT1 to reverse Klotho repression. This study provides an evidence for the possible clinical application of DHA in the treatment of renal fibrosis.

Published
2022

35. A Cerebellum-Inspired Model-Free Kinematic Control Method with RCM Constraint

Author

Wang, Xin, Yu, Peng, Mao, Mingzhi, Tan, Ning, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Tanveer, Mohammad, editor, Agarwal, Sonali, editor, Ozawa, Seiichi, editor, Ekbal, Asif, editor, and Jatowt, Adam, editor

Published
2023
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36. Revisiting the physical processes controlling the tropical atmospheric circulation changes during the Mid-Piacenzian Warm Period

Author

Zhang, Ke, Sun, Yong, Zhang, Zhongshi, Stepanek, Christian, Feng, Ran, Hill, Daniel, Lohmann, Gerrit, Dolan, Aisling, Haywood, Alan, Abe-Ouchi, Ayako, Otto-Bliesner, Bette, Contoux, Camille, Chandan, Deepak, Ramstein, Gilles, Dowsett, Harry, Tindall, Julia, Baatsen, Michiel, Tan, Ning, Peltier, William Richard, Li, Qiang, Chan, Wing-Le, Wang, Xin, and Zhang, Xu

Published
2024
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39. Monocyte/lymphocyte ratio as a risk factor of cardiovascular and all-cause mortality in coronary artery disease with low-density lipoprotein cholesterol levels below 1.4 mmol/L: A large longitudinal multicenter study

Author

Jiang, Rengui, Ruan, Huangtao, Wu, Wanying, Wang, Yueting, Huang, Haozhang, Lu, Xiaozhao, Liang, Weipeng, Zhou, Yang, Wu, Jielan, Ruan, Xianlin, Chen, Jinming, Zhang, Weipeng, Xiang, Yulong, Yan, Zhitao, Liu, Yong, and Tan, Ning

Published
2024
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46. Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network

Author

Jiang, Yun, Tan, Ning, Peng, Tingting, and Zhang, Hai

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

Accurate segmentation of retinal vessels is a basic step in Diabetic retinopathy(DR) detection. Most methods based on deep convolutional neural network (DCNN) have small receptive fields, and hence they are unable to capture global context information of larger regions, with difficult to identify lesions. The final segmented retina vessels contain more noise with low classification accuracy. Therefore, in this paper, we propose a DCNN structure named as D-Net. In the proposed D-Net, the dilation convolution is used in the backbone network to obtain a larger receptive field without losing spatial resolution, so as to reduce the loss of feature information and to reduce the difficulty of tiny thin vessels segmentation. The large receptive field can better distinguished between the lesion area and the blood vessel area. In the proposed Multi-Scale Information Fusion module (MSIF), parallel convolution layers with different dilation rates are used, so that the model can obtain more dense feature information and better capture retinal vessel information of different sizes. In the decoding module, the skip layer connection is used to propagate context information to higher resolution layers, so as to prevent low-level information from passing the entire network structure. Finally, our method was verified on DRIVE, STARE and CHASE dataset. The experimental results show that our network structure outperforms some state-of-art method, such as N4-fields, U-Net, and DRIU in terms of accuracy, sensitivity, specificity, and AUCROC. Particularly, D-Net outperforms U-Net by 1.04%, 1.23% and 2.79% in DRIVE, STARE, and CHASE three dataset, respectively.

Published
2019

47. Simplified Rapid Hydration Prevents Contrast-Associated Acute Kidney Injury Among CKD Patients Undergoing Coronary Angiography

Author

Liu, Yong, Tan, Ning, Huo, Yong, Chen, Shi-Qun, Liu, Jin, Wang, Yan, Li, Lang, Tao, Jian-Hong, Su, Xi, Zhang, Li, Li, Qing-Xian, Zhang, Jin-Ying, Guo, Yan-Song, Du, Zhi-Min, Zhou, Yin-Pin, Fang, Zhen-Fei, Xu, Guang-Ma, Liang, Yan, Tao, Ling, Chen, Hui, Ji, Zheng, Han, Bing, Chen, Ping-Yan, Ge, Jun-Bo, Han, Ya-Ling, and Chen, Ji-Yan

Published
2023
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