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Lowering systolic blood pressure to less than 120 mm Hg versus less than 140 mm Hg in patients with high cardiovascular risk with and without diabetes or previous stroke: an open-label, blinded-outcome, randomised trial

J. Liu, Y. Li, J. Ge, X. Yan, H. Zhang, X. Zheng, J. Lu, X. Li, Y. Gao, L. Lei, J. Liu, J. Li, X. Ai, C. An, Y. An, S. Bai, X. Bai, J. Bi, X. Bin, M. Bu, P. Bu, W. Bu, L. Cai, N. Cai, S. Cai, T. Cai, W. Cai, B. Cao, B. Cao, H. Cao, L. Cao, X. Cao, H. Chai, Y. Chai, Z. Chai, C. Chang, J. Chang, S. Chang, Y. Chang, H. Chao, H. Che, Q. Che, D. Chen, D. Chen, F. Chen, G. Chen, H. Chen, H. Chen, H. Chen, H. Chen, J. Chen, J. Chen, J. Chen, J. Chen, J. Chen, J. Chen, J. Chen, l. Chen, L. Chen, L. Chen, Q. Chen, R. Chen, S. Chen, S. Chen, T. Chen, X. Chen, X. Chen, X. Chen, X. Chen, X. Chen, Y. Chen, Y. Chen, Y. Chen, Y. Chen, Y. Chen, Z. Chen, Z. Chen, Z. Chen, C. Cheng, J. Cheng, X. Cheng, J. Chu, R. Cui, X. Cui, X. Cui, Y. Cui, Z. Cui, W. Dai, X. Dai, C. Ding, H. Ding, Q. Ding, Y. Ding, Y. Ding, J. Dong, L. Dong, Q. Dong, Y. Dong, B. Du, H. Du, J. Du, L. Du, M. Du, Q. Du, T. Du, X. Du, R. Duan, X. Duan, X. Duan, D. Fan, X. Fan, X. Fan, F. Fang, J. Fang, X. Fang, Y. Fang, E. Feng, H. Feng, L. Feng, R. Feng, Z. Feng, H. Fu, Q. Fu, H. Gao, L. Gao, L. Gao, L. Gao, L. Gao, M. Gao, M. Gao, Q. Gao, Y. Gao, Y. Gao, J. Ge, H. Geng, H. Geng, L. Geng, L. Geng, H. Gou, Q. Gu, L. Guan, S. Guan, W. Guan, Z. Guan, B. Guang, A. Guo, C. Guo, G. Guo, L. Guo, Q. Guo, Q. Guo, Y. Guo, Z. Guo, A. Han, M. Han, S. Han, X. Han, Y. Han, F. Hao, J. Hao, S. Hao, C. He, D. He, M. He, M. He, S. He, W. He, X. He, Y. He, J. Hong, C. Hou, J. Hou, D. Hu, J. Hu, J. Hu, L. Hu, M. Hu, Z. Hu, A. Huang, C. Huang, H. Huang, J. Huang, S. Huang, S. Huang, W. Huang, W. Huang, X. Huang, X. Huang, X. Huang, J. Hui, L. Hui, Z. Hui, F. Huo, R. Ji, R. Ji, G. Jia, H. Jia, J. Jia, J. Jia, X. Jia, H. Jiang, J. Jiang, Q. Jiang, X. Jiang, X. Jiang, Y. Jiang, Y. Jiao, L. Jie, B. Jin, L. Jin, R. Jin, R. Jin, X. Jin, X. Jin, Y. Jin, Z. Jin, Z. Jin, C. Jing, J. Jing, R. Jing, L. Kang, Y. Kang, J. Kong, S. Kou, X. Kou, Kulaxihan, J. Lai, L. Lei, B. Li, B. Li, B. Li, C. Li, C. Li, C. Li, C. Li, D. Li, D. Li, D. Li, F. Li, G. Li, H. Li, H. Li, J. Li, J. Li, J. Li, J. Li, J. Li, J. Li, J. Li, J. Li, L. Li, L. Li, L. Li, L. Li, L. Li, M. Li, M. Li, M. Li, N. Li, N. Li, N. Li, N. Li, Q. Li, Q. Li, R. Li, R. Li, S. Li, S. Li, S. Li, S. Li, T. Li, T. Li, W. Li, W. Li, W. Li, W. Li, X. Li, X. Li, X. Li, X. Li, X. Li, X. Li, Y. Li, Y. Li, Y. Li, Y. Li, Y. Li, Y. Li, Y. Li, Y. Li, Z. Li, Z. Li, C. Liang, J. Liang, J. Liang, K. Liang, L. Liang, T. Liang, X. Liang, X. Liang, Y. Liang, Z. Liang, Z. Lie, Q. Lin, R. Lin, X. Lin, Z. Lin, A. Liu, C. Liu, C. Liu, C. Liu, F. Liu, F. Liu, G. Liu, H. Liu, J. Liu, J. Liu, J. Liu, J. Liu, J. Liu, J. Liu, J. Liu, J. Liu, J. Liu, L. Liu, L. Liu, L. Liu, L. Liu, L. Liu, L. Liu, Q. Liu, Q. Liu, Q. Liu, Q. Liu, S. Liu, X. Liu, X. Liu, X. Liu, X. Liu, X. Liu, Y. Liu, Y. Liu, Y. Liu, Y. Liu, Y. Liu, Z. Liu, J. Long, F. Lu, H. Lu, J. Lu, J. Lu, W. Lu, Y. Lu, Y. Lu, T. Luan, Q. Luo, Q. Luo, T. Luo, X. Luo, Y. Luo, J. Lv, J. Lv, L. Lv, L. Lv, M. Lv, A. Ma, H. Ma, H. Ma, J. Ma, J. Ma, L. Ma, L. Ma, N. Ma, Q. Ma, S. Ma, T. Ma, X. Ma, X. Ma, Y. Ma, L. Mai, X. Mei, G. Meng, R. Miao, X. Miao, X. Miao, T. Min, S. Mo, Morigentu, T. Nan, J. Ni, S. Ni, Y. Nie, B. Ning, X. Ning, M. Niu, Q. Niu, W. Niu, X. Niu, F. Ou, B. Pan, C. Pan, C. Pan, J. Pan, X. Pan, Z. Pan, G. Pei, L. Pei, M. Pei, Y. Pei, Y. Peng, Y. Peng, Z. Pu, F. Qi, L. Qi, M. Qi, Y. Qi, J. Qian, L. Qin, Z. Qin, L. Qing, L. Qiu, W. Qiu, X. Qiu, Y. Qu, M. Quan, D. Ren, H. Ren, L. Ren, T. Ren, W. Ren, Y. Ren, Y. Rong, J. Ruan, P. Shang, M. Shao, X. Shao, Y. Shao, J. Shen, R. Shen, L. Sheng, J. Shi, X. Shi, Y. Shi, Y. Shi, Y. Shi, B. Shu, B. Song, D. Song, J. Song, J. Song, J. Song, W. Song, X. Song, Y. Song, H. Su, Q. Su, S. Su, X. Su, C. Sun, F. Sun, G. Sun, J. Sun, M. Sun, R. Sun, S. Sun, S. Sun, Y. Sun, Y. Sun, Y. Sun, Z. Sun, M. Suo, B. Tan, C. Tang, Z. Tang, Y. Tao, C. Tian, H. Tian, J. Tian, X. Tian, H. Wan, Q. Wan, R. Wan, B. Wang, C. Wang, C. Wang, C. Wang, D. Wang, E. Wang, F. Wang, G. Wang, G. Wang, G. Wang, H. Wang, H. Wang, H. Wang, J. Wang, J. Wang, J. Wang, J. Wang, J. Wang, K. Wang, L. Wang, L. Wang, L. Wang, L. Wang, M. Wang, P. Wang, Q. Wang, Q. Wang, Q. Wang, Q. Wang, R. Wang, S. Wang, S. Wang, T. Wang, T. Wang, T. Wang, T. Wang, W. Wang, W. Wang, W. Wang, W. Wang, W. Wang, X. Wang, X. Wang, X. Wang, X. Wang, Y. Wang, Y. Wang, Y. Wang, Y. Wang, Y. Wang, Y. Wang, Y. Wang, Y. Wang, Y. Wang, Y. Wang, Y. Wang, Y. Wang, Y. Wang, Y. Wang, Z. Wang, Z. Wang, Z. Wang, C. Wei, L. Wei, P. Wei, S. Wei, X. Wei, H. Wen, Y. Wen, C. Wu, H. Wu, L. Wu, L. Wu, Q. Wu, S. Wu, W. Wu, X. Wu, Y. Wu, Z. Wu, Z. Wu, Z. Wu, Wuhanbilige, J. Xia, Y. Xia, J. Xiang, H. Xiao, Y. Xiao, M. Xie, Y. Xie, H. Xin, J. Xing, G. Xiu, B. Xu, C. Xu, E. Xu, J. Xu, S. Xu, W. Xu, W. Xu, N. Xue, T. Xue, W. Xue, H. Yan, X. Yan, Y. Yan, B. Yang, H. Yang, H. Yang, J. Yang, K. Yang, M. Yang, M. Yang, N. Yang, P. Yang, X. Yang, X. Yang, X. Yang, X. Yang, X. Yang, X. Yang, Y. Yang, Y. Yang, Y. Yang, Y. Yang, Z. Yang, Z. Yang, H. Yao, L. Yao, J. Ye, W. Ye, M. Yi, S. Yi, W. Yi, Z. Yi, G. Yin, G. Yin, G. Yu, H. Yu, H. Yu, L. Yu, L. Yu, N. Yu, Q. Yu, X. Yu, Y. Yu, B. Yuan, C. Zeng, N. Zhai, X. Zhai, H. Zhan, A. Zhang, B. Zhang, B. Zhang, C. Zhang, C. Zhang, C. Zhang, C. Zhang, C. Zhang, F. Zhang, F. Zhang, G. Zhang, H. Zhang, H. Zhang, H. Zhang, H. Zhang, H. Zhang, H. Zhang, J. Zhang, J. Zhang, J. Zhang, J. Zhang, J. Zhang, L. Zhang, L. Zhang, L. Zhang, L. Zhang, L. Zhang, L. Zhang, L. Zhang, L. Zhang, M. Zhang, P. Zhang, Q. Zhang, R. Zhang, R. Zhang, S. Zhang, S. Zhang, S. Zhang, T. Zhang, W. Zhang, W. Zhang, X. Zhang, X. Zhang, X. Zhang, X. Zhang, X. Zhang, X. Zhang, X. Zhang, Y. Zhang, Y. Zhang, Y. Zhang, Y. Zhang, Y. Zhang, Y. Zhang, Y. Zhang, Y. Zhang, Z. Zhang, Z. Zhang, B. Zhao, D. Zhao, F. Zhao, G. Zhao, H. Zhao, H. Zhao, H. Zhao, J. Zhao, J. Zhao, L. Zhao, L. Zhao, L. Zhao, Q. Zhao, Q. Zhao, W. Zhao, W. Zhao, W. Zhao, X. Zhao, X. Zhao, X. Zhao, X. Zhao, X. Zhao, Y. Zhao, Y. Zhao, S. Zheng, X. Zheng, L. Zhi, H. Zhong, Q. Zhong, X. Zhong, Y. Zhong, J. Zhou, J. Zhou, K. Zhou, L. Zhou, L. Zhou, N. Zhou, S. Zhou, S. Zhou, T. Zhou, W. Zhou, W. Zhou, W. Zhou, X. Zhou, Y. Zhou, Y. Zhou, Z. Zhou, Z. Zhou, B. Zhu, J. Zhu, J. Zhu, M. Zhu, Y. Zhu, D. Zong, H. Zuo, and Z. Zuo. (2024)
DOI: 10.1016/s0140-6736(24)01028-6

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Xiaowen Jin

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SACANet: scene-aware class attention network for semantic segmentation of remote sensing images.X. Ma, R. Che, T. Hong, M. Ma, Z. Zhao, T. Feng, and W. Zhang. ICME, page 828-833. IEEE, (2023)DDLNet: Boosting Remote Sensing Change Detection with Dual-Domain Learning.X. Ma, J. Yang, R. Che, H. Zhang, and W. Zhang. CoRR, (2024)Rethinking Remote Sensing Change Detection With A Mask View.X. Ma, Z. Wu, R. Lian, W. Zhang, and S. Song. CoRR, (2024)An LLM-Based Inventory Construction Framework of Urban Ground Collapse Events with Spatiotemporal Locations.Y. Hao, J. Qi, X. Ma, S. Wu, R. Liu, and X. Zhang. ISPRS Int. J. Geo Inf., 13 (4): 133 (April 2024)LOGCAN++: Local-global class-aware network for semantic segmentation of remote sensing images.X. Ma, R. Lian, Z. Wu, H. Guo, M. Ma, S. Wu, Z. Du, S. Song, and W. Zhang. CoRR, (2024)High-Precision Motion Compensation for LiDAR Based on LiDAR OdometryP. Qin, C. Zhang, X. Ma, and Z. Shi. Wireless Communications and Mobile Computing, (2022)Distributed Implementation of SM4 Block Cipher Algorithm Based on SPDZ Secure Multi-party Computation Protocol.X. Ma, M. Wang, and Z. Kang. ICPCSEE (1), volume 1879 of Communications in Computer and Information Science, page 279-297. Springer, (2023)DBDAN: Dual-Branch Dynamic Attention Network for Semantic Segmentation of Remote Sensing Images.R. Che, X. Ma, T. Hong, X. Wang, T. Feng, and W. Zhang. PRCV (4), volume 14428 of Lecture Notes in Computer Science, page 306-317. Springer, (2023)Percentage fat fraction in magnetic resonance imaging: upgrading the osteoporosis-detecting parameter.R. Chang, X. Ma, Y. Jiang, D. Huang, X. Chen, M. Zhang, and D. Hao. BMC Medical Imaging, 20 (1): 30 (2020)A Home Efficacy Multi-Modal Intelligent Evaluation System for Wearable Treatment Equipment of Insomnia Through Integration Between Traditional Chinese Medicine and Modern Medicine.G. Zhang, A. Ogihara, S. Zhou, X. Yang, Y. Wang, X. Ma, S. Li, and K. Li. Traitement du Signal, 38 (5): 1469-1476 (2021)

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