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Cao Z, Aharonian F, Axikegu, Bai YX, Bao YW, Bastieri D, Bi XJ, Bi YJ, Bian W, Bukevich AV, Cao Q, Cao WY, Cao Z, Chang J, Chang JF, Chen AM, Chen ES, Chen HX, Chen L, Chen L, Chen L, Chen MJ, Chen ML, Chen QH, Chen S, Chen SH, Chen SZ, Chen TL, Chen Y, Cheng N, Cheng YD, Cui MY, Cui SW, Cui XH, Cui YD, Dai BZ, Dai HL, Dai ZG, Danzengluobu, Dong XQ, Duan KK, Fan JH, Fan YZ, Fang J, Fang JH, Fang K, Feng CF, Feng H, Feng L, Feng SH, Feng XT, Feng Y, Feng YL, Gabici S, Gao B, Gao CD, Gao Q, Gao W, Gao WK, Ge MM, Geng LS, Giacinti G, Gong GH, Gou QB, Gu MH, Guo FL, Guo XL, Guo YQ, Guo YY, Han YA, Hasan M, He HH, He HN, He JY, He Y, Hor YK, Hou BW, Hou C, Hou X, Hu HB, Hu Q, Hu SC, Huang DH, Huang TQ, Huang WJ, Huang XT, Huang XY, Huang Y, Ji XL, Jia HY, Jia K, Jiang K, Jiang XW, Jiang ZJ, Jin M, Kang MM, Karpikov I, Kuleshov D, Kurinov K, Li BB, Li CM, Li C, Li C, Li D, Li F, Li HB, Li HC, Li J, Li J, Li K, Li SD, Li WL, Li WL, Li XR, Li X, Li YZ, Li Z, Li Z, Liang EW, Liang YF, Lin SJ, Liu B, Liu C, Liu D, Liu DB, Liu H, Liu HD, Liu J, Liu JL, Liu MY, Liu RY, Liu SM, Liu W, Liu Y, Liu YN, Luo Q, Luo Y, Lv HK, Ma BQ, Ma LL, Ma XH, Mao JR, Min Z, Mitthumsiri W, Mu HJ, Nan YC, Neronov A, Ou LJ, Pattarakijwanich P, Pei ZY, Qi JC, Qi MY, Qiao BQ, Qin JJ, Raza A, Ruffolo D, Sáiz A, Saeed M, Semikoz D, Shao L, Shchegolev O, Sheng XD, Shu FW, Song HC, Stenkin YV, Stepanov V, Su Y, Sun DX, Sun QN, Sun XN, Sun ZB, Takata J, Tam PHT, Tang QW, Tang R, Tang ZB, Tian WW, Wang C, Wang CB, Wang GW, Wang HG, Wang HH, Wang JC, Wang K, Wang K, Wang LP, Wang LY, Wang PH, Wang R, Wang W, Wang XG, Wang XY, Wang Y, Wang YD, Wang YJ, Wang ZH, Wang ZX, Wang Z, Wang Z, Wei DM, Wei JJ, Wei YJ, Wen T, Wu CY, Wu HR, Wu QW, Wu S, Wu XF, Wu YS, Xi SQ, Xia J, Xiang GM, Xiao DX, Xiao G, Xin YL, Xing Y, Xiong DR, Xiong Z, Xu DL, Xu RF, Xu RX, Xu WL, Xue L, Yan DH, Yan JZ, Yan T, Yang CW, Yang CY, Yang F, Yang FF, Yang LL, Yang MJ, Yang RZ, Yang WX, Yao YH, Yao ZG, Yin LQ, Yin N, You XH, You ZY, Yu YH, Yuan Q, Yue H, Zeng HD, Zeng TX, Zeng W, Zha M, Zhang BB, Zhang F, Zhang H, Zhang HM, Zhang HY, Zhang JL, Zhang L, Zhang PF, Zhang PP, Zhang R, Zhang SB, Zhang SR, Zhang SS, Zhang X, Zhang XP, Zhang YF, Zhang Y, Zhang Y, Zhao B, Zhao J, Zhao L, Zhao LZ, Zhao SP, Zhao XH, Zheng F, Zhong WJ, Zhou B, Zhou H, Zhou JN, Zhou M, Zhou P, Zhou R, Zhou XX, Zhou XX, Zhu BY, Zhu CG, Zhu FR, Zhu H, Zhu KJ, Zou YC, Zuo X. Measurements of All-Particle Energy Spectrum and Mean Logarithmic Mass of Cosmic Rays from 0.3 to 30 PeV with LHAASO-KM2A. Phys Rev Lett 2024; 132:131002. [PMID: 38613275 DOI: 10.1103/physrevlett.132.131002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/23/2024] [Accepted: 02/12/2024] [Indexed: 04/14/2024]
Abstract
We present the measurements of all-particle energy spectrum and mean logarithmic mass of cosmic rays in the energy range of 0.3-30 PeV using data collected from LHAASO-KM2A between September 2021 and December 2022, which is based on a nearly composition-independent energy reconstruction method, achieving unprecedented accuracy. Our analysis reveals the position of the knee at 3.67±0.05±0.15 PeV. Below the knee, the spectral index is found to be -2.7413±0.0004±0.0050, while above the knee, it is -3.128±0.005±0.027, with the sharpness of the transition measured with a statistical error of 2%. The mean logarithmic mass of cosmic rays is almost heavier than helium in the whole measured energy range. It decreases from 1.7 at 0.3 PeV to 1.3 at 3 PeV, representing a 24% decline following a power law with an index of -0.1200±0.0003±0.0341. This is equivalent to an increase in abundance of light components. Above the knee, the mean logarithmic mass exhibits a power law trend towards heavier components, which is reversal to the behavior observed in the all-particle energy spectrum. Additionally, the knee position and the change in power-law index are approximately the same. These findings suggest that the knee observed in the all-particle spectrum corresponds to the knee of the light component, rather than the medium-heavy components.
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Affiliation(s)
- Zhen Cao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - F Aharonian
- Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, 2 Dublin, Ireland
- Max-Planck-Institut for Nuclear Physics, P.O. Box 103980, 69029 Heidelberg, Germany
| | - Axikegu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y X Bai
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y W Bao
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - D Bastieri
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - X J Bi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y J Bi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W Bian
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - A V Bukevich
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - Q Cao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - W Y Cao
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Zhe Cao
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - J Chang
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J F Chang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - A M Chen
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - E S Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H X Chen
- Research Center for Astronomical Computing, Zhejiang Laboratory, 311121 Hangzhou, Zhejiang, China
| | - Liang Chen
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - Lin Chen
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Long Chen
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - M J Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M L Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Q H Chen
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - S Chen
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - S H Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - S Z Chen
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - T L Chen
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - Y Chen
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - N Cheng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y D Cheng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M Y Cui
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S W Cui
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - X H Cui
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - Y D Cui
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - B Z Dai
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - H L Dai
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Z G Dai
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Danzengluobu
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - X Q Dong
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - K K Duan
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J H Fan
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Y Z Fan
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J Fang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - J H Fang
- Research Center for Astronomical Computing, Zhejiang Laboratory, 311121 Hangzhou, Zhejiang, China
| | - K Fang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C F Feng
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - H Feng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
| | - L Feng
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S H Feng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X T Feng
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - Y Feng
- Research Center for Astronomical Computing, Zhejiang Laboratory, 311121 Hangzhou, Zhejiang, China
| | - Y L Feng
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - S Gabici
- APC, Université Paris Cité, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 119 75205 Paris, France
| | - B Gao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C D Gao
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - Q Gao
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - W Gao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W K Gao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M M Ge
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - L S Geng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - G Giacinti
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - Q B Gou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M H Gu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - F L Guo
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - X L Guo
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y Q Guo
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y Y Guo
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y A Han
- School of Physics and Microelectronics, Zhengzhou University, 450001 Zhengzhou, Henan, China
| | - M Hasan
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H H He
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H N He
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J Y He
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y He
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y K Hor
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - B W Hou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C Hou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X Hou
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - H B Hu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Q Hu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S C Hu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- China Center of Advanced Science and Technology, Beijing 100190, China
| | - D H Huang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - T Q Huang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W J Huang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - X T Huang
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - X Y Huang
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y Huang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X L Ji
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - H Y Jia
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - K Jia
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - K Jiang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - X W Jiang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z J Jiang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - M Jin
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - M M Kang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - I Karpikov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - D Kuleshov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - K Kurinov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - B B Li
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - C M Li
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - Cheng Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Cong Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - F Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - H B Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H C Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Jian Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Jie Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - K Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - S D Li
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - W L Li
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - W L Li
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - X R Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Xin Li
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Y Z Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Zhe Li
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Zhuo Li
- School of Physics, Peking University, 100871 Beijing, China
| | - E W Liang
- Guangxi Key Laboratory for Relativistic Astrophysics, School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - Y F Liang
- Guangxi Key Laboratory for Relativistic Astrophysics, School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - S J Lin
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - B Liu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - C Liu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Liu
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - D B Liu
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - H Liu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H D Liu
- School of Physics and Microelectronics, Zhengzhou University, 450001 Zhengzhou, Henan, China
| | - J Liu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J L Liu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M Y Liu
- Key Laboratory of Cosmic Rays (Tibet University), Ministry of Education, 850000 Lhasa, Tibet, China
| | - R Y Liu
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - S M Liu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - W Liu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y Liu
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Y N Liu
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - Q Luo
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - Y Luo
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - H K Lv
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B Q Ma
- School of Physics, Peking University, 100871 Beijing, China
| | - L L Ma
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X H Ma
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J R Mao
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - Z Min
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - W Mitthumsiri
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - H J Mu
- School of Physics and Microelectronics, Zhengzhou University, 450001 Zhengzhou, Henan, China
| | - Y C Nan
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - A Neronov
- APC, Université Paris Cité, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 119 75205 Paris, France
| | - L J Ou
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - P Pattarakijwanich
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - Z Y Pei
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - J C Qi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - M Y Qi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B Q Qiao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J J Qin
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - A Raza
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Ruffolo
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - A Sáiz
- Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - M Saeed
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D Semikoz
- APC, Université Paris Cité, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 119 75205 Paris, France
| | - L Shao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - O Shchegolev
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
- Moscow Institute of Physics and Technology, 141700 Moscow, Russia
| | - X D Sheng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - F W Shu
- Center for Relativistic Astrophysics and High Energy Physics, School of Physics and Materials Science and Institute of Space Science and Technology, Nanchang University, 330031 Nanchang, Jiangxi, China
| | - H C Song
- School of Physics, Peking University, 100871 Beijing, China
| | - Yu V Stenkin
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
- Moscow Institute of Physics and Technology, 141700 Moscow, Russia
| | - V Stepanov
- Institute for Nuclear Research of Russian Academy of Sciences, 117312 Moscow, Russia
| | - Y Su
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - D X Sun
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Q N Sun
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - X N Sun
- Guangxi Key Laboratory for Relativistic Astrophysics, School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - Z B Sun
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - J Takata
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - P H T Tam
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - Q W Tang
- Center for Relativistic Astrophysics and High Energy Physics, School of Physics and Materials Science and Institute of Space Science and Technology, Nanchang University, 330031 Nanchang, Jiangxi, China
| | - R Tang
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Z B Tang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - W W Tian
- University of Chinese Academy of Sciences, 100049 Beijing, China
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - C Wang
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - C B Wang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - G W Wang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - H G Wang
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - H H Wang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - J C Wang
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - Kai Wang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - Kai Wang
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - L P Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - L Y Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - P H Wang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - R Wang
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - W Wang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - X G Wang
- Guangxi Key Laboratory for Relativistic Astrophysics, School of Physical Science and Technology, Guangxi University, 530004 Nanning, Guangxi, China
| | - X Y Wang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - Y Wang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y D Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y J Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z H Wang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - Z X Wang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - Zhen Wang
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Zheng Wang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - D M Wei
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - J J Wei
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y J Wei
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - T Wen
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - C Y Wu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H R Wu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Q W Wu
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - S Wu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X F Wu
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Y S Wu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - S Q Xi
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J Xia
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - G M Xiang
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - D X Xiao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - G Xiao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y L Xin
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Y Xing
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - D R Xiong
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - Z Xiong
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - D L Xu
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - R F Xu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - R X Xu
- School of Physics, Peking University, 100871 Beijing, China
| | - W L Xu
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - L Xue
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - D H Yan
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - J Z Yan
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - T Yan
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - C W Yang
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - C Y Yang
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - F Yang
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - F F Yang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - L L Yang
- School of Physics and Astronomy (Zhuhai) and School of Physics (Guangzhou) and Sino-French Institute of Nuclear Engineering and Technology (Zhuhai), Sun Yat-sen University, 519000 Zhuhai and 510275 Guangzhou, Guangdong, China
| | - M J Yang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - R Z Yang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - W X Yang
- Center for Astrophysics, Guangzhou University, 510006 Guangzhou, Guangdong, China
| | - Y H Yao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z G Yao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - L Q Yin
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - N Yin
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - X H You
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Z Y You
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y H Yu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
| | - Q Yuan
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - H Yue
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H D Zeng
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - T X Zeng
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - W Zeng
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - M Zha
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B B Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - F Zhang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H Zhang
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - H M Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - H Y Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - J L Zhang
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - Li Zhang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - P F Zhang
- School of Physics and Astronomy, Yunnan University, 650091 Kunming, Yunnan, China
| | - P P Zhang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - R Zhang
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - S B Zhang
- University of Chinese Academy of Sciences, 100049 Beijing, China
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - S R Zhang
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - S S Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X Zhang
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - X P Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - Y F Zhang
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - Yi Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - Yong Zhang
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - B Zhao
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - J Zhao
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - L Zhao
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - L Z Zhao
- Hebei Normal University, 050024 Shijiazhuang, Hebei, China
| | - S P Zhao
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - X H Zhao
- Yunnan Observatories, Chinese Academy of Sciences, 650216 Kunming, Yunnan, China
| | - F Zheng
- National Space Science Center, Chinese Academy of Sciences, 100190 Beijing, China
| | - W J Zhong
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - B Zhou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - H Zhou
- Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - J N Zhou
- Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 200030 Shanghai, China
| | - M Zhou
- Center for Relativistic Astrophysics and High Energy Physics, School of Physics and Materials Science and Institute of Space Science and Technology, Nanchang University, 330031 Nanchang, Jiangxi, China
| | - P Zhou
- School of Astronomy and Space Science, Nanjing University, 210023 Nanjing, Jiangsu, China
| | - R Zhou
- College of Physics, Sichuan University, 610065 Chengdu, Sichuan, China
| | - X X Zhou
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
| | - X X Zhou
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - B Y Zhu
- University of Science and Technology of China, 230026 Hefei, Anhui, China
- Key Laboratory of Dark Matter and Space Astronomy and Key Laboratory of Radio Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, 210023 Nanjing, Jiangsu, China
| | - C G Zhu
- Institute of Frontier and Interdisciplinary Science, Shandong University, 266237 Qingdao, Shandong, China
| | - F R Zhu
- School of Physical Science and Technology and School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China
| | - H Zhu
- National Astronomical Observatories, Chinese Academy of Sciences, 100101 Beijing, China
| | - K J Zhu
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- University of Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
- State Key Laboratory of Particle Detection and Electronics, China
| | - Y C Zou
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - X Zuo
- Key Laboratory of Particle Astrophysics and Experimental Physics Division and Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China
- Tianfu Cosmic Ray Research Center, 610000 Chengdu, Sichuan, China
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Chen HX, Huang YW, Liu WJ, Liu B, Chen GB, Zhang DD, Chen PY, Lai W. [Visual analysis of the current research status and hotspots of electric burns at home and abroad]. Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi 2023; 39:977-984. [PMID: 37899564 DOI: 10.3760/cma.j.cn501225-20230511-00167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Abstract
Objective: To analyze the literature on electric burns published at home and abroad, and to explore the research hotspots and frontiers of electric burns. Methods: The bibliometric method was used. The Chinese and English literature related to electric burns published in China National Knowledge Infrastructure, Wanfang database, VIP database and the core collection of Web of Science database from January 1, 2013 to December 31, 2022 were searched respectively, and the CiteSpace 6.2.R2 software was used for analysis. The number of papers, authors, countries, and institutions of Chinese and English literature were counted respectively, and the co-occurrence analysis of keywords and mutation analysis and cluster analysis on the basis of the co-occurrence analysis were conducted, besides, the clustering time line figure was obtained after the keywords were sorted by time to explore the current research status and the evolution process of hotspots in the field of electric burns. Results: A total of 398 English papers were retrieved from the core collection of Web of Science database, and a total of 523 Chinese papers were retrieved from China National Knowledge Infrastructure, Wanfang database, and VIP database after duplicate check. From 2013 to 2022, the number of English literature published in the field of electric burns showed a steadily upward trend, and the number of published Chinese literature showed a downward trend and tended to be stable. In Chinese literature, a total of 302 authors as the first author published papers related to electric burns, with 17 core authors published ≥3 papers; in English literature, a total of 320 authors as the first author published papers related to electric burns. Researches on electric burns were carried out in 65 countries, with United States having the most cooperation with other countries and the largest number of papers published. A total of 512 institutions at home and abroad published papers related to electric burns, and the institutions with the largest number of Chinese and English papers were Shanghai Electric Power Hospital in China (n=14) and Hallym University in Korea (n=11), respectively. A total of 1 176 Chinese keywords and 1 068 English keywords were included for co-occurrence analysis after excluding keywords related to the searching words. The top three keywords in frequency in Chinese literature were surgical flap, wound repair, and nursing, and the top three keywords in frequency in English literature were management, epidemiology, and children. Ten clusters were obtained by keyword analysis in Chinese literature, and the largest cluster was wound healing, followed by clinical effects and surgical flaps. Seven clusters were obtained by keyword analysis in English literature, and the largest cluster was reconstructive surgical procedures, followed by chronic pain and shock. The persistent clusters in Chinese literature were wound healing and clinical outcomes, etc., and the prominent nodes in the recent two years were surgical timing, limb electric burns, and hypertrophic scars; the persistent clusters in English literature were reconstructive surgical procedures and chronic pain, etc., and the prominent nodes in the recent two years were predictors and burn management, etc. In Chinese literature, the keyword with the longest duration of mutation (2017-2021) was wrist electric burns, and the keyword with the highest intensity of mutation was flap repair; in English literature, the keyword with the longest duration of the mutation (2019-2022) was voltage, and the keyword with the highest intensity of mutation was prevention. Conclusions: There are similarities and differences in the research directions and hotspots of electric burns at home and abroad. Surgical flap repair is a common research hotspot at home and abroad. At present, domestic research focuses on wound healing, wrist electric burns, and other aspects, while international research focuses on treatment management, epidemiology, reconstruction, and other aspects.
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Affiliation(s)
- H X Chen
- Department of Nursing, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Y W Huang
- School of Nursing, Guangdong Pharmaceutical University, Guangzhou 510310, China
| | - W J Liu
- School of Nursing, Guangdong Pharmaceutical University, Guangzhou 510310, China
| | - B Liu
- School of Nursing, Guangdong Pharmaceutical University, Guangzhou 510310, China
| | - G B Chen
- Department of Burn and Wound Repair Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - D D Zhang
- Department of Burn and Wound Repair Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - P Y Chen
- Department of Burn and Wound Repair Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - W Lai
- Department of Burn and Wound Repair Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
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3
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Chen HX, Liu WJ, Liu B, Huang ZF, Zhang QP, Xiao XL, Lai W, Zheng SY. [Influence of work engagement and self-efficacy of nurses on clinical practice ability in burn intensive care unit]. Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi 2023; 39:779-786. [PMID: 37805790 DOI: 10.3760/cma.j.cn501225-20220905-00379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/09/2023]
Abstract
Objective: To analyze the influence of work engagement and self-efficacy of nurses on clinical practice ability in burn intensive care unit (BICU), and to explore its potential pathways of action. Methods: A cross-sectional survey was conducted. From May to October 2020, a total of 30 hospitals with BICU in China were selected by stratified sampling method. Among BICU nurses who met the inclusion criteria, their clinical practice ability, work engagement, and self-efficacy were evaluated by self-evaluation scale of oriented problem-solving behavior in nursing practice (OPSN), Utrecht work engagement scale (UWES), and general self-efficacy scale (GSES), respectively. The total scale scores of each index and the average item scores were recorded. The self-designed general data questionnaire was used to investigate the nurses' gender, age, marital status, education background, working years, professional title, and the economic region of the hospital that they belonged to. The total scale scores of the above-mentioned three evaluation indexes were compared after the classification of nurses according to general data, and the data were statistically analyzed with independent sample t test or one-way analysis of variance. Pearson correlation analysis was used to analyze the correlation between the total scale scores of the three evaluation indexes. Based on the total scale scores of the above-mentioned three evaluation indexes, a structural equation model was established, the mediation analysis of the relationship among the three evaluation indexes and the pathway analysis of the structural model were conducted, and the Bootstrap method was used to verify the pathways of action. Results: A total of 401 questionnaires were distributed, and 337 valid questionnaires were returned, with a valid return rate of 84.04%. The total scale scores of clinical practice ability, work engagement, and self-efficacy of 337 nurses were 98.2±11.7, 67.7±18.6, and 26.6±5.6, respectively, and the average item scores were 3.9±0.5, 4.5±1.2, and 2.7±0.6, respectively. Among the 337 nurses, the majority were female, aged 40 or below, married, and had a bachelor's degree with work experience of ≤10 years; both nurses with professional nurse title and nurses from the Southeast region accounted for about 50%. There were statistically significant differences in the total scale score of clinical practice ability among nurses with different ages, education backgrounds, working years, and professional titles (with F values of 3.26, 4.36, 3.12, and 2.80, respectively, P<0.05). There was statistically significant difference in the total scale score of work engagement among nurses with different working years (F=4.50, P<0.05). There were statistically significant differences in the total scale score of self-efficacy among nurses with different ages, working years, and professional titles (with F values of 4.91, 4.50, and 2.91, respectively, P<0.05). The total scale score of nurses' work engagement was significantly positively correlated with the total scale score of clinical practice ability and the total scale score of self-efficacy (with r values of 0.30 and 0.51, respectively, P<0.05). The total scale score of nurses' self-efficacy was significantly positively correlated with the total scale score of clinical practice ability (r=0.37, P<0.05). The model had good adaptability, and the intermediary model was established. Nurses' work engagement had a significantly positive effect on both self-efficacy and clinical practice ability (with β values of 0.54 and 0.16, respectively, P<0.05), and nurses' self-efficacy had a significantly positive effect on clinical practice ability (β=0.29, P<0.05). Work engagement had a direct effect on self-efficacy and clinical practice ability, and self-efficacy had a direct effect on clinical practice ability and played a mediating role between work engagement and clinical practice ability. Bootstrap validation showed that self-efficacy played a significantly mediating role in the influence of work engagement on clinical practice ability (with effect size of 0.16, with 95% confidence interval of 0.08-0.24, P<0.05), accounting for half of the total effect of work engagement on clinical practice ability (with effect size of 0.32). Conclusions: BICU nurses have an above-average level of clinical practice ability, a medium level of self-efficacy, and a high level of work engagement. Work engagement and self-efficacy are positively correlated with clinical practice ability. Work engagement can directly affect clinical practice ability or indirectly affect clinical practice ability through the mediating role of self-efficacy.
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Affiliation(s)
- H X Chen
- Department of Nursing, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - W J Liu
- Department of Nursing, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - B Liu
- Department of Nursing, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Z F Huang
- Department of Burn and Wound Repair Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Q P Zhang
- Department of Burn and Wound Repair Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - X L Xiao
- Department of Burn and Wound Repair Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - W Lai
- Department of Burn and Wound Repair Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - S Y Zheng
- Department of Burn and Wound Repair Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
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Feng SJ, Zhang X, Zheng QT, Chen HX, Zhao Y, Yang CBX. Modeling the spreading and remediation efficiency of slow-release oxidants in a fractured and contaminated low-permeability stratum. Chemosphere 2023:139271. [PMID: 37422215 DOI: 10.1016/j.chemosphere.2023.139271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 06/14/2023] [Accepted: 06/16/2023] [Indexed: 07/10/2023]
Abstract
Traditional remediation technologies cannot well remediate the low permeability contaminated stratums due to the limitation in the transport capacity of solute. The technology that integrates the fracturing and/or slow-released oxidants can be a new alternative, and its remediation efficiency remains unknown. In this study, an explicit dissolution-diffusion solution for the oxidants in control release beads (CRBs) was developed to describe the time-varying release of oxidants. Together with advection, diffusion, dispersion and the reactions with oxidants and natural oxidants, a two-dimensional axisymmetric model of solute transport in a fracture-soil matrix system was established to compare the removal efficiencies of CRB oxidants and liquid oxidants and to identify the main factors that can significantly affect the remediation of fractured low-permeability matrix. The results show that CRB oxidants can achieve a more effective remediation than liquid oxidants under the same condition due to the more uniform distribution of oxidants in the fracture and hence a higher utilization rate. Increasing the dose of the embedded oxidants can benefit the remediation to some extent, while at small doses the release time over 20 d has little impact. For extremely low-permeability contaminated stratums, the remediation effect can be significantly improved if the average permeability of the fractured soil can be enhanced to more than 10-7 m/s. Increasing the injection pressure at a single fracture during the treatment can enlarge the influence distance of the slow-released oxidants above the fracture (e.g., 0.3-0.9 m in this study) rather than below the fracture (e.g., 0.3 m in this study). In general, this work is expected to provide some meaningful guidance for the design of fracturing and remediating low permeability contaminated stratums.
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Affiliation(s)
- Shi-Jin Feng
- Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China; Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Tongji University, Shanghai 200092, China
| | - Xu Zhang
- Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China
| | - Qi-Teng Zheng
- Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Hong-Xin Chen
- Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China
| | - Yong Zhao
- Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China
| | - Chun-Bai-Xue Yang
- Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China
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Chen HX, Ren NX, Yang J, Chen JN, Lu QX, Feng YR, Huang Y, Yin LL, Lin DX, Li YX, Jin J, Tan W. [Associations of genetic variations in pyroptosis related genes with acute adverse events in postoperative rectal cancer patients receiving concurrent chemoradiotherapy]. Zhonghua Zhong Liu Za Zhi 2023; 45:146-152. [PMID: 36781235 DOI: 10.3760/cma.j.cn112152-20220622-00447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Objective: This study aims to investigate the associations between genetic variations of pyroptosis pathway related key genes and adverse events (AEs) of postoperative chemoradiotherapy (CRT) in patients with rectal cancer. Methods: DNA was extracted from the peripheral blood which was collected from 347 patients before CRT. Sequenom MassARRAY was used to detect the genotypes of 43 haplotype-tagging single nucleotide polymorphisms (htSNPs) in eight pyroptosis genes, including absent in melanoma 2 (AIM2), caspase-1 (CASP1), caspase-4(CASP4), caspase-5 (CASP5), caspase-11 (CASP11), gasdermin D (GSDMD), gasdermin E (GSDME) and NLR family pyrin domain containing 3 (NLRP3). The associations between 43 htSNPs and AEs were evaluated by the odd ratios (ORs) and 95% confidence intervals (CIs) by unconditional logistic regression models, adjusted for sex, age, clinical stage, tumor grade, Karnofsky performance status (KPS), surgical procedure, and tumor location. Results: Among the 347 patients with rectal cancer underwent concurrent CRT with capecitabine after surgery, a total of 101(29.1%) occurred grade ≥ 2 leukopenia. rs11226565 (OR=0.41, 95% CI: 0.21-0.79, P=0.008), rs579408(OR=1.54, 95% CI: 1.03-2.29, P=0.034) and rs543923 (OR=0.63, 95% CI: 0.41-0.98, P=0.040) were significantly associated with the occurrence of grade ≥ 2 leukopenia. One hundred and fifty-six (45.0%) had grade ≥ 2 diarrhea, two SNPs were significantly associated with the occurrence of grade ≥ diarrhea, including CASP11 rs10880868 (OR=0.55, 95% CI: 0.33-0.91, P=0.020) and GSDME rs2954558 (OR=1.52, 95% CI: 1.01-2.31, P=0.050). In addition, sixty-six cases (19.0%) developed grade ≥2 dermatitis, three SNPs that significantly associated with the risk of grade ≥2 dermatitis included GSDME rs2237314 (OR=0.36, 95% CI: 0.16-0.83, P=0.017), GSDME rs12540919 (OR=0.52, 95% CI: 0.27-0.99, P=0.045) and NLRP3 rs3806268 (OR=1.51, 95% CI: 1.03-2.22, P=0.037). There was no significant difference in the association between other genetic variations and AEs of rectal cancer patients (all P>0.05). Surgical procedure and tumor location had great impacts on the occurrence of grade ≥2 diarrhea and dermatitis (all P<0.01). Conclusion: The genetic variants of CASP4, CASP11, GSDME and NLRP3 are associated with the occurrence of AEs in patients with rectal cancer who received postoperative CRT, suggesting they may be potential genetic markers in predicting the grade of AEs to achieve individualized treatment of rectal cancer.
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Affiliation(s)
- H X Chen
- State Key Laboratory of Molecular Oncology, Department of Etiology & Carcinogenesis, Beijing Key Laboratory for Carcinogenesis and Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N X Ren
- State Key Laboratory of Molecular Oncology, Department of Etiology & Carcinogenesis, Beijing Key Laboratory for Carcinogenesis and Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J Yang
- State Key Laboratory of Molecular Oncology, Department of Etiology & Carcinogenesis, Beijing Key Laboratory for Carcinogenesis and Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J N Chen
- State Key Laboratory of Molecular Oncology, Department of Etiology & Carcinogenesis, Beijing Key Laboratory for Carcinogenesis and Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Q X Lu
- State Key Laboratory of Molecular Oncology, Department of Etiology & Carcinogenesis, Beijing Key Laboratory for Carcinogenesis and Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y R Feng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Huang
- State Key Laboratory of Molecular Oncology, Department of Etiology & Carcinogenesis, Beijing Key Laboratory for Carcinogenesis and Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L L Yin
- State Key Laboratory of Molecular Oncology, Department of Etiology & Carcinogenesis, Beijing Key Laboratory for Carcinogenesis and Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D X Lin
- State Key Laboratory of Molecular Oncology, Department of Etiology & Carcinogenesis, Beijing Key Laboratory for Carcinogenesis and Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y X Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J Jin
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Tan
- State Key Laboratory of Molecular Oncology, Department of Etiology & Carcinogenesis, Beijing Key Laboratory for Carcinogenesis and Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Liu J, Li WY, Chen HX, Li SQ, Yang LH, Peng KM, Cai C, Huang XF. Applications of functional nanoparticle-stabilized surfactant foam in petroleum-contaminated soil remediation. J Hazard Mater 2023; 443:130267. [PMID: 36444047 DOI: 10.1016/j.jhazmat.2022.130267] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 10/19/2022] [Accepted: 10/24/2022] [Indexed: 06/16/2023]
Abstract
Surfactant foam (SF) can be used to remediate petroleum-contaminated soil because of its easy transfer to inhomogeneous and low-permeability formations. Nanoparticles (NPs) not only stabilize SF under extreme conditions but also impart various functions, aiding the removal of petroleum contaminants. This review discusses the stabilization mechanisms of nanoparticle-stabilized SF (NP-SF) as well as the effects of NP size, chargeability, wettability, and NP-to-surfactant ratio on foam stability. SF stabilized by inert SiO2 NPs is most commonly used to remediate soil contaminated with crude oil and diesel. Low dose of SF stabilized by nano zero-valent iron is cost-effective for treating soil contaminated with chlorinated organics and heavy metal ions. The efficiency and recyclability of Al2O3/Fe3O4 NPs in the remediation of diesel and crude oil contamination could be enhanced by applying a magnetic field. This review provides a theoretical basis and practical guidelines for developing functional NP-SF to improve the remediation of petroleum-contaminated soils. Future research should focus on the structural design of photocatalytic NPs and the application of catalytic NP-SF in soil remediation.
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Affiliation(s)
- Jia Liu
- College of Environmental Science and Engineering, Tongji University, State Key Laboratory of Pollution Control and Resource Reuse, Ministry of Education Key Laboratory of Yangtze River Water Environment, Shanghai 200092, China; Frontiers Science Center for Intelligent Autonomous Systems, Shanghai 200092, China
| | - Wen-Yan Li
- College of Environmental Science and Engineering, Tongji University, State Key Laboratory of Pollution Control and Resource Reuse, Ministry of Education Key Laboratory of Yangtze River Water Environment, Shanghai 200092, China
| | - Hong-Xin Chen
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China
| | - Shuang-Qiang Li
- College of Environmental Science and Engineering, Tongji University, State Key Laboratory of Pollution Control and Resource Reuse, Ministry of Education Key Laboratory of Yangtze River Water Environment, Shanghai 200092, China
| | - Li-Heng Yang
- College of Environmental Science and Engineering, Tongji University, State Key Laboratory of Pollution Control and Resource Reuse, Ministry of Education Key Laboratory of Yangtze River Water Environment, Shanghai 200092, China
| | - Kai-Ming Peng
- College of Environmental Science and Engineering, Tongji University, State Key Laboratory of Pollution Control and Resource Reuse, Ministry of Education Key Laboratory of Yangtze River Water Environment, Shanghai 200092, China
| | - Chen Cai
- College of Environmental Science and Engineering, Tongji University, State Key Laboratory of Pollution Control and Resource Reuse, Ministry of Education Key Laboratory of Yangtze River Water Environment, Shanghai 200092, China
| | - Xiang-Feng Huang
- College of Environmental Science and Engineering, Tongji University, State Key Laboratory of Pollution Control and Resource Reuse, Ministry of Education Key Laboratory of Yangtze River Water Environment, Shanghai 200092, China; Frontiers Science Center for Intelligent Autonomous Systems, Shanghai 200092, China.
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7
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Zhu ZW, Feng SJ, Chen HX, Chen ZL, Ding XH, Peng CH. Approximate analytical model for transient transport and oxygen-limited biodegradation of vapor-phase petroleum hydrocarbon compound in soil. Chemosphere 2022; 300:134522. [PMID: 35395265 DOI: 10.1016/j.chemosphere.2022.134522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 03/12/2022] [Accepted: 04/02/2022] [Indexed: 06/14/2023]
Abstract
Volatile organic compounds (VOCs) contamination may occur in subsurface soil due to various reasons and pose great threat to people. Petroleum hydrocarbon compound (PHC) is a typical kind of VOC, which can readily biodegrade in an aerobic environment. The biodegradation of vapor-phase PHC in the vadose zone consumes oxygen in the soil, which leads to the change in aerobic and anaerobic zones but has not been studied by the existing analytical models. In this study, a one-dimensional analytical model is developed to simulate the transient diffusion and oxygen-limited biodegradation of PHC vapor in homogeneous soil. Laplace transformation and Laplace inversion of the Talbot method are adopted to derive the solution. At any given time, the thickness of aerobic zone is determined by the dichotomy method. The analytical model is verified against numerical simulation and experimental results first and parametric study is then conducted. The transient migration of PHC vapor can be divided into three stages including the pure aerobic zone stage (Stage I), aerobic-anaerobic zones co-existence stage (Stage II), and steady-state stage (Stage III). The proposed analytical model should be adopted to accommodate scenarios where the transient effect is significant (Stage II), including high source concentration, deep contaminant source, high biodegradation capacity, and high water saturation. The applicability of this model to determine the breakthrough time for better vapor intrusion assessment is also evaluated. Lower first-order biodegradation rate, higher source concentration, and shallower source depth all lead to smaller breakthrough time.
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Affiliation(s)
- Zhang-Wen Zhu
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China.
| | - Shi-Jin Feng
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China.
| | - Hong-Xin Chen
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China.
| | - Zhang-Long Chen
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China.
| | - Xiang-Hong Ding
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China.
| | - Chun-Hui Peng
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China; School of Architecture and Civil Engineering, Jinggangshan University, Ji'an, Jiangxi, 343009, China.
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8
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Abstract
Esophageal adenocarcinoma (EAC) is the most common malignant tumor of the esophagus in the West. During the past few decades, its morbidity has been increasing in China. Barrett's esophagus (BE) is defined as the replacement of normal squamous epithelium in the lower esophagus by metaplasia of columnar epithelium. BE is closely related to the occurrence of EAC. Knowledge regarding the risk factors for the occurrence and development of BE is of great significance for early screening and diagnosis of BE and prevention of EAC. In this paper, we review the clinical, demographics-related, lifestyle-related, and medications-related risk factors for BE to provide more valuable scientific evidence for the prevention and treatment of BE.
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Affiliation(s)
- Shao-Ze Ma
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, Liaoning Province, China,Graduate School of Dalian Medical University, Dalian 116044, Liaoning Province, China
| | - Hong-Xin Chen
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, Liaoning Province, China,Graduate School of Liaoning University of Traditional Chinese Medicine, Shenyang 110031, Liaoning Province, China
| | - Zhen-Dong Liang
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, Liaoning Province, China
| | - Xing-Shun Qi
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, Liaoning Province, China
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9
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Chen H, Feng SJ, Zheng QT, Chen HX. Enhanced delivery of amendments in fractured clay sites based on multi-point injection: An analytical study. Chemosphere 2022; 297:134086. [PMID: 35245586 DOI: 10.1016/j.chemosphere.2022.134086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 02/18/2022] [Accepted: 02/20/2022] [Indexed: 06/14/2023]
Abstract
Fracturing technology that can enhance the delivery of amendments has attracted attention in the remediation of low-permeability contaminated sites. However, there are few works on the enhanced delivery of amendments based on multi-point injection in a fracture-matrix system. This study develops a two-dimensional analytical model for enhanced delivery of amendments in a finite-domain low-permeability matrix through multi-point injection in a natural, hydraulic or pneumatic fracture. The mechanisms of advection, diffusion, dispersion, sorption and degradation are considered in the model and any injection form (e.g., pulse injection, periodic injection or slow-release injection) can be embedded to obtain a specified solution. Then, a new linear factor R*, which is the ratio of the peak concentration to the trough concentration on the same plane, is introduced to evaluate the concentration fluctuation in the fracture and matrix. Results show that with a stronger line source formed in the fracture right after injection (corresponding to a small R*), the concentration distribution of amendments in the matrix is more uniform at each depth resulting in a smaller residual rate, i.e., (R*-1) × 100%. If the injection wells have been installed unreasonably (e.g., a too large spacing), the continuous injection time is an effective controllable parameter to compensate for this defect. Moreover, a controlled slow-release system can maintain a more stable concentration distribution in the fracture than continuous injection and periodic injection systems, giving a longer residence time. Overall, this work is expected to provide some interesting guidelines for the design of multi-point injection in the fracturing low-permeability sites to enhance the remediation of contaminated soil.
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Affiliation(s)
- He Chen
- Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China
| | - Shi-Jin Feng
- Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China; Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Tongji University, Shanghai, 200092, China
| | - Qi-Teng Zheng
- Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China.
| | - Hong-Xin Chen
- Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China
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10
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Abstract
Colorectal cancer is a kind of malignant tumors that seriously threatens the health of Chinese people, and its morbidity and mortality rank third and fifth among malignant tumors in China, respectively. High-quality colonoscopy is an effective means of preventing colorectal cancer. Adenoma detection rate (ADR) is defined as the proportion of those who have adenomas in the total number of patients undergoing colonoscopy. With the increase of ADR, the incidence rate and mortality rate of colorectal cancer gradually decrease. Previous studies have found that ADR is affected by many factors. In this paper, we describe the factors that affect ADR from the aspects of colonoscopy, doctors, and equipment, with a purpose to strengthen the understanding of endoscopists on ADR and to increase ADR during colonoscopy.
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Affiliation(s)
- Ying-Chao Li
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, Liaoning Province, China,Graduate School of Dalian Medical University, Dalian 116044, Liaoning Province, China
| | - Hong-Xin Chen
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, Liaoning Province, China,Graduate School of Liaoning University of Traditional Chinese Medicine, Shenyang 110031, Liaoning Province, China
| | - Wen-Tao Xu
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, Liaoning Province, China,Postgraduate College, Shenyang Pharmaceutical University, Shenyang 110016, Liaoning Province, China
| | - Cheng-Kun Li
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, Liaoning Province, China
| | - Xing-Shun Qi
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, Liaoning Province, China
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11
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Chen HX, Zhan YX, Ou HN, You YY, Li WY, Jiang SS, Zheng MF, Zhang LZ, Chen K, Chen QX. Effects of lower body positive pressure treadmill on functional improvement in knee osteoarthritis: A randomized clinical trial study. World J Clin Cases 2021; 9:10604-10615. [PMID: 35004992 PMCID: PMC8686144 DOI: 10.12998/wjcc.v9.i34.10604] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 08/20/2021] [Accepted: 09/16/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Knee joint pain and stiffness are the two main symptoms of knee osteoarthritis (OA) and thus restrict a patient’s activities, such as walking and walking up and downstairs. The lower body positive pressure (LBPP) treadmill as one of the emerging body weight support system devices brings new hope for exercise-related rehabilitation for knee OA patients.
AIM To investigate the biomechanical effects and the subjective clinical assessment of LBPP treadmill walking exercise when compared with conventional therapy in mild to moderate knee OA patients.
METHODS Eighteen patients with mild-to-moderate knee OA were recruited in this randomized controlled trial (RCT) study. The eligible knee OA patients were randomly assigned to two groups: LBPP and control groups. The patients in the LBPP group performed an LBPP walking training program for 30 min/session per day, 6 d per week for 2 wk whereas the patients in the control group performed walking on the ground for the same amount. All patients underwent clinical assessments and three-dimensional gait analysis at pre- and 2-wk post-treatment.
RESULTS The Western Ontario and McMaster Universities Arthritis Index and visual analog scale scores in both the LBPP group and control group were found to decrease significantly at the post-treatment point than the pre-treatment point (LBPP: 70.25 ± 13.93 vs 40.50 ± 11.86; 3.88 ± 0.99 vs 1.63 ± 0.52; control: 69.20 ± 8.88 vs 48.10 ± 8.67; 3.80 ± 0.79 vs 2.60 ± 0.70, P < 0.001). Moreover, compared with the control group, the LBPP group showed more improvements in walking speed (P = 0.007), stride length (P = 0.037), and knee range of motion (P = 0.048) during walking, which represented more improvement in walking ability.
CONCLUSION The results of our RCT study showed that the LBPP group has a greater effect on improving gait parameters than the conventional group, although there was no significant advantage in clinical assessment. This finding indicates that LBPP treadmill walking training might be an effective approach for alleviating pain symptoms and improving lower extremity locomotion in mild to moderate knee OA patients.
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Affiliation(s)
- Hong-Xin Chen
- Department of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou 510700, Guangdong Province, China
| | - Yao-Xuan Zhan
- Department of General Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou 510700, Guangdong Province, China
| | - Hai-Ning Ou
- Guangzhou Key Laboratory of Enhanced Recovery After Abdominal Surgery, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou 510700, Guangdong Province, China
| | - Yao-Yao You
- Department of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou 510700, Guangdong Province, China
| | - Wan-Ying Li
- Department of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou 510700, Guangdong Province, China
| | - Shan-Shan Jiang
- Department of Rehabilitation Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, Jiangsu Province, China
| | - Mei-Feng Zheng
- Department of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou 510700, Guangdong Province, China
| | - Lin-Zi Zhang
- Department of Rehabilitation Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, Guangdong Province, China
| | - Ke Chen
- Department of Osteology, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou 510700, Guangdong Province, China
| | - Qiu-Xia Chen
- Department of General Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou 510700, Guangdong Province, China
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12
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Feng SJ, Zhu ZW, Chen HX, Chen ZL, Ding XH. Two-dimensional analytical solution for subsurface volatile organic compounds vapor diffusion from a point source in layered unsaturated zone. J Contam Hydrol 2021; 243:103916. [PMID: 34768157 DOI: 10.1016/j.jconhyd.2021.103916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 10/21/2021] [Accepted: 11/01/2021] [Indexed: 06/13/2023]
Abstract
Although migration of subsurface volatile organic compounds (VOCs) from contaminant sources in unsaturated soil widely exists, the related analytical models are quite limited. A two-dimensional analytical solution is hence developed to simulate vapor diffusion from the subsurface contaminant source in the layered unsaturated zone. The contaminant source is simplified as a point source leaking at a constant rate. The influences of several important factors, including thickness of stagnant air layer, depth of groundwater table, source characteristics and soil layering characteristics, on vapor migration in subsurface soil are comprehensively investigated by the present model. Soil type does not affect the normalized vapor concentration profile for homogeneous soil, which is not valid for layered soil. The width and effective diffusivity of the upward diffusion pathway and downward diffusion pathway are favorable indexes to evaluate the intensity of subsurface vapor horizontal diffusion. The single-layer capillary fringe assumption overestimates the vapor plume, the assumption can give acceptable result for coarse soil while it is recommended to divide the soil into several layers based on the water-filled porosity profile for fine soil.
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Affiliation(s)
- Shi-Jin Feng
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Zhang-Wen Zhu
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Hong-Xin Chen
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Zhang-Long Chen
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Xiang-Hong Ding
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
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13
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Peng CH, Feng SJ, Chen HX, Ding XH, Yang CBX. An analytical model for one-dimensional diffusion of degradable contaminant through a composite geomembrane cut-off wall. J Contam Hydrol 2021; 242:103845. [PMID: 34139441 DOI: 10.1016/j.jconhyd.2021.103845] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 05/27/2021] [Accepted: 06/01/2021] [Indexed: 06/12/2023]
Abstract
A one-dimensional analytical model is proposed to analyze contaminant diffusion through a composite geomembrane cut-off wall (CGCW) composed of a geomembrane (GMB) and a bentonite cut-off wall (BCW). The model considers degradation process of contaminant and time-dependent inlet boundary condition which are common in engineering practices. Moreover, two limiting scenarios of the exit boundary condition (EBC) of CGCW for field conditions are taken into account, including the flushing and non-advective semi-infinite aquifer EBCs. The influence of boundary conditions and performance of CGCW are comprehensively investigated. The results show that the upper and lower limits of the mass flux of the exit face of CGCW can be obtained by the models with flushing EBC and the model with non-advective semi-infinite aquifer EBC, respectively. In addition, degradation has substantial influence on the contaminant migration, and smaller half-life in BCW results in smaller contaminant leakage. The performance of CGCW can be improved by embedding GMB at a proper location which is related to the type of contaminant and EBC. Furthermore, thickening HDPE GMB or adopting a coextruded EVOH GMB is efficient to improve the performance of CGCW. The present model can be used as an applicable tool for rational design of CGCW.
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Affiliation(s)
- Chun-Hui Peng
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China; School of Architecture and Civil Engineering, Jinggangshan University, Ji'an, Jiangxi 343009, China.
| | - Shi-Jin Feng
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Hong-Xin Chen
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Xiang-Hong Ding
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Chun-Bai-Xue Yang
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China; School of Architecture and Civil Engineering, Jinggangshan University, Ji'an, Jiangxi 343009, China.
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14
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Chen HX, Yi FF, Wu YY, Qi XS. Recent advances in research of gastric xanthelasma. Shijie Huaren Xiaohua Zazhi 2021; 29:537-542. [DOI: 10.11569/wcjd.v29.i10.537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Gastric xanthelasma has always been considered a benign lesion of the stomach. It is formed by tissue cells or macrophages phagocytizing a large amount of lipid and accumulating in the lamina propria. However, recent studies have found that gastric xanthelasma is associated with precancerous lesions and gastric cancer, and should be differentiated from signet ring cell carcinoma and clear cell carcinoma of the stomach.
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Affiliation(s)
- Hong-Xin Chen
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, Liaoning Province, China,Graduate School of Liaoning University of Traditional Chinese Medicine, Shenyang 110031, Liaoning Province, China
| | - Fang-Fang Yi
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, Liaoning Province, China,Graduate School of Dalian Medical University, Dalian 116044, Liaoning Province, China
| | - Yan-Yan Wu
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, Liaoning Province, China,Graduate School of Jinzhou Medical University, Jinzhou 121001, Liaoning Province, China
| | - Xing-Shun Qi
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang 110840, Liaoning Province, China
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15
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Peng MQ, Feng SJ, Chen HX, Chen ZL, Xie HJ. Analytical model for organic contaminant transport through GMB/CCL composite liner with finite thickness considering adsorption, diffusion and thermodiffusion. Waste Manag 2021; 120:448-458. [PMID: 33139192 DOI: 10.1016/j.wasman.2020.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 08/16/2020] [Accepted: 10/02/2020] [Indexed: 06/11/2023]
Abstract
A new analytical model for organic contaminant transport through GMB/CCL (geomembrane and compacted clay liner) composite liner is developed, which can consider adsorption, diffusion and thermodiffusion processes and is applicable for typical bottom boundary conditions. The separation of variables method is adopted to derive the solution. The present model is first verified against experimental results and a numerical model. The influence of thermodiffusion on organic contaminant transport in composite liner is then investigated. Toluene is adopted as the representative organic contaminant. The results reveal that when the Soret coefficient ST is not less than 0.01 K-1, the effect of thermodiffusion should be taken into account on the contaminant transport in GMB/CCL composite liner in wet landfills. When the Soret coefficient ST is 0.03 K-1, the breakthrough time of a GMB + 0.75 m CCL composite liner and a 2 m CCL would be overestimated by 20% to 76% due to omitting of the effect of thermodiffusion. Namely, the barrier performance would be greatly overestimated if the effect of thermodiffusion is neglected in these cases. In other aspects, the thermal conductivity of GMB and CCL has little effect on the contaminants transport in GMB/CCL composite liners, so there is no need to modify the materials for this parameter. The present model is an applicable tool for evaluating the barrier performance of the GMB/CCL composite liner, and can provide valuable advices for improving the liner materials.
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Affiliation(s)
- Ming-Qing Peng
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Shi-Jin Feng
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Hong-Xin Chen
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Zhang-Long Chen
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Hai-Jian Xie
- Key Laboratory of Soft Soils and Geoenvironmental Engineering of Ministry of Education, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China.
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16
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Deng JZ, Zhang ZL, Lin YB, Guo XX, Li CY, Chen HX. [Analysis on short-term efficacy of reduced-port laparoscopic anterior resection for mid-low rectal cancer]. Zhonghua Wei Chang Wai Ke Za Zhi 2021; 23:1200-1203. [PMID: 33353277 DOI: 10.3760/cma.j.cn.441530-20191226-00525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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17
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Liu KL, Chen HX, Liu Y, Fu QM. Correlation of maternal components and blood lipids during pregnancy with the onset of preeclampsia. J BIOL REG HOMEOS AG 2020; 34:535-539. [PMID: 32517462 DOI: 10.23812/19-369-l-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- K L Liu
- Department of Obstetrics & Gynecology, People's Hospital of Baoan District, Shenzhen City, China
| | - H X Chen
- Department of Obstetrics & Gynecology, The Third People's Hospital of Longgang District, Shenzhen City, China
| | - Y Liu
- Department of Obstetrics & Gynecology, People's Hospital of Baoan District, Shenzhen City, China
| | - Q M Fu
- Department of Obstetrics & Gynecology, People's Hospital of Baoan District, Shenzhen City, China
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18
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Cai LJ, Zhang Q, Zhang Y, Chen HX, Shi ZY, Du Q, Zhou HY. Clinical characteristics of very late-onset neuromyelitis optica spectrum disorder. Mult Scler Relat Disord 2020; 46:102515. [PMID: 33032051 DOI: 10.1016/j.msard.2020.102515] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 09/11/2020] [Accepted: 09/15/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND The typical age at onset of neuromyelitis optica spectrum disorder (NMOSD) is between 30 and 40 years. A growing awareness about the disease and advances in diagnostic techniques have led to an increase in the number of patients being diagnosed with very late-onset (VLO) NMOSD. This study compared the clinical characteristics, treatments, and prognoses between patients with VLO-NMOSD or late-onset (LO) NMOSD. METHODS Patients in our study were assigned to two groups based on age at onset of the disease: LO-NMOSD (50-70 years old at onset) and VLO-NMOSD (> 70 years old at onset). We compared clinical characteristics, magnetic resonance imaging of lesions, prognosis, and treatments between the two groups. RESULTS We collected data from 12 VLO-NMOSD patients with a median age at onset of 74.0 years (interquartile range, 72.6-75.9 years) and 104 LO-NMOSD patients with a median age at onset of 56.0 years (55.8-57.9 years). There were a high proportion of female patients in both the VLO-NMOSD group (9, 75.0%) and the LO-NMOSD group (91, 87.5%). Our study indicated that VLO-NMOSD patients had significantly higher expanded disability status scale (EDSS) scores (8.5 vs 4.0, p = 0.01), higher motor disability rates (41.7% vs 9.6%, p = 0.002), and higher mortality rates (25.0 vs 4.8%, p = 0.044) at last follow-up. However, patients with VLO-NMOSD had lower rates of immunosuppressant usage (50.0% vs 76.9%, p = 0.044). Age at onset was positively correlated with EDSS score at remission (r = 0.49, p < 0.001). CONCLUSION VLO-NMOSD was associated with higher EDSS score at remission, higher rates of mortality and motor disability, but lower rates of immunosuppressive treatment usage than LO-NMOSD. Future studies are needed to understand the effects of NMOSD on older patients, and to seek suitable treatment to improve their prognosis.
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Affiliation(s)
- L J Cai
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Q Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - H X Chen
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Z Y Shi
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Q Du
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - H Y Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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19
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Zhong J, Zheng QW, Zhao J, Wang ZP, Wu MN, Zhuo ML, Wang YY, Li JJ, Yang X, Chen HX, An TT. [Therapeutic efficacy analysis of immunotherapy in small cell lung cancer]. Zhonghua Zhong Liu Za Zhi 2020; 42:771-776. [PMID: 32988161 DOI: 10.3760/cma.j.cn112152-20200324-00253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: Recently, increasing number of lung cancer patients benefit from immune-checkpoint inhibitors (ICIs). However, the data of Chinese small cell lung cancer (SCLC) patients is limited. This study aims to analyze the response and survival data of ICIs treatment in SCLC and to explore the predictive biomarkers. Methods: Forty-seven SCLC patients who received ICIs treatment from Peking University Cancer Hospital from May 2017 to September 2019 was recruited. Clinical characteristics including sex, age, smoking status, ICIs strategy, PD-L1 expression and therapeutic efficacy were collected to explore the clinical predictive biomarkers for SCLC ICIs treatment. Results: Among the 47 patients, 18 (38.3%) cases were partial repose (PR), 11 (23.4%) were stable disease (SD), 18 (38.3%) were progressive disease (PD), and the objective response rate (ORR) was 38.3%, disease control rate (DCR) was 61.7%, the median progression-free survival (PFS) was 5.3 months. ICIs monotherapy accounts for 27.7%, the ORR was 15.4%, DCR was 53.8%, median PFS was 2.7 months. Combined therapy accounts for 72.3%, the ORR was 47.1%, DCR was 64.7%, median PFS was 5.4 months. Fourteen (29.8%) patients received ICIs as the first line treatment, their ORR was 85.7%, DCR was 100%, median PFS was 9.1 month. The ORR was not related to the age, sex, body mass index (BMI), smoking status and programmed death-ligand 1 (PD-L1) expression (P>0.05). The ORRs were higher in patients underwent PD-L1 monotherapy (P=0.001), combined therapy (P=0.002) and received ICIs as the first line treatment (P<0.001). Log-rank analysis indicated that the PFS of female patients were 12.0 months, significantly longer than 4.4 months of male patients in ICIs treatment (P=0.038). Patients who received PD-L1 monotherapy, combined treatment, or ICIs as the first line treatment had longer PFS than their counterparts, though no statistical significant was observed (P>0.05). Cox multivariate analysis showed that, the gender was not an independent predictor for PFS in ICIs treatment (HR=3.777, 95%CI=0.974~30.891, P=0.054). Conclusions: Immunotherapy is an effective treatment strategy for SCLC. Patients who receive combined ICIs treatment, first line ICIs treatment and PD-L1 treatment may get greater benefits. PD-L1 expression cannot predict the response and PFS in SCLC ICIs treatment.
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Affiliation(s)
- J Zhong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Q W Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Z P Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - M N Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - M L Zhuo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Y Y Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - J J Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - X Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - H X Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - T T An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
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Feng SJ, Zhu ZW, Chen HX, Chen ZL. Two-dimensional analytical solution for VOC vapor migration through layered soil laterally away from the edge of contaminant source. J Contam Hydrol 2020; 233:103664. [PMID: 32569922 DOI: 10.1016/j.jconhyd.2020.103664] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 05/25/2020] [Accepted: 06/03/2020] [Indexed: 06/11/2023]
Abstract
A two-dimensional analytical solution is developed to simulate vapor migration in layered soil laterally away from the edge of contaminant source and has advantages in considering the vapor concentration profile in a functional form near the source edge. The analytical solution is validated against existing analytical solution, numerical model and experimental results. It has also proved to be an alternative screening tool to evaluate the vapor intrusion (VI) risk by compared with existing VI assessment tools. The influence of the characteristics of contaminant source and soil layer on the VI risk are investigated. The existence of capillary fringe effectively reduces VI risk. Among all the single-layer-soil cases, the lateral inclusion zone for sand is the widest due to the thinnest capillary fringe and the lowest effective diffusivity ratio between soil and capillary fringe. For layered soil, the lower effective diffusivity layer overlying the higher one enhances the horizontal diffusion and extends the lateral inclusion zone. The width of lateral inclusion zone increases logarithmically with increasing source concentration while it increases linearly with increasing source depth. Based on the calculation results, a simplified formula is proposed to preliminarily estimate the width of lateral inclusion zone for the typical single-layer-soil cases considering the capillary fringe.
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Affiliation(s)
- Shi-Jin Feng
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Zhang-Wen Zhu
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Hong-Xin Chen
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Zhang-Long Chen
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
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21
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Yao CC, Tian RH, Li P, Chen HX, Zhi EL, Huang YH, Zhao LY, Yang C, Zhang L, Li YJ, Li X, Li Z. [Novel compound heterozygous LoF mutations in SRD5A2 may result in disorders of sex development]. Zhonghua Yi Xue Za Zhi 2020; 100:1699-1703. [PMID: 32536088 DOI: 10.3760/cma.j.cn112137-20190913-02031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the novel genetic cause associated with hypospadias and the strategy for preventing offspring genetic defects in these patients. Methods: In March 2019, a patient with gonadal dysplasia (hypospadias associated with cryptorchidism) was referred to Shanghai General Hospital. His secondary sex characters, level of sex hormones and the development of male reproductive system was assessed through physical examination, sex hormone examination, male reproductive system B-ultrasound and computed tomography (CT). Whole-exome sequencing (WES) was preformed to investigate the pathogenic genetic variations associated with hypospadias and cryptorchidism. Also, Sanger sequencing was conducted to verify the WES results in the pedigree. Semen analysis was used to assess the fertility of the proband and the SRD5A2 gene analysis of his spouse was performed to assess the risk of genetic defects in the offspring. Results: The patient suffered from gonadal dysplasia (hypospadias associated with cryptorchidism). Physical examination showed an inverted triangular distribution of pubic hair, small penis and the volume of the testis was 8 ml. Sex hormone examination revealed the level of FSH, LH, Pituitary prolactin (PRL), estrogen (E(2)), testosterone (T), and sex hormone-binding globulin (SHBG) was 25.81 U/L, 10.84 U/L, 21.09 μg/L, 153 pmol/L, 16.95 nmol/L, and 36.15 nmol/L respectively. B-ultrasound and computed tomography (CT) showed left inguinal testis. Also, semen analysis illustrated that the volume was 0.05 ml and sperm concentration<2×10(6)/ml, suggesting oligospermia in this case. WES sequencing and Sanger sequencing showed compound heterozygous LoF mutations in SRD5A2 [NM_000348.3:C.679C>T(p.Arg227Ter) and NM_000348.3:C.16C>T(p.Gln6Ter)] in this patient. And there were no pathogenic genetic variations of SRD5A2 in the spouse. Conclusion: Novel compound heterozygous LoF mutations in SRD5A2[NM_000348.3:C.679C>T(p.Arg227Ter) and NM_000348.3:C.16C>T(p.Gln6Ter)] may be the primary cause of disorders of sex development.
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Affiliation(s)
- C C Yao
- Department of Andrology, Center for Men's Health, Institute of Urology, Urologic Medical Center, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai 200080, China
| | - R H Tian
- Department of Andrology, Center for Men's Health, Institute of Urology, Urologic Medical Center, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai 200080, China
| | - P Li
- Department of Andrology, Center for Men's Health, Institute of Urology, Urologic Medical Center, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai 200080, China
| | - H X Chen
- Department of Andrology, Center for Men's Health, Institute of Urology, Urologic Medical Center, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai 200080, China
| | - E L Zhi
- Department of Andrology, Center for Men's Health, Institute of Urology, Urologic Medical Center, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai 200080, China
| | - Y H Huang
- Department of Andrology, Center for Men's Health, Institute of Urology, Urologic Medical Center, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai 200080, China
| | - L Y Zhao
- Department of Andrology, Center for Men's Health, Institute of Urology, Urologic Medical Center, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai 200080, China
| | - C Yang
- Department of Andrology, Center for Men's Health, Institute of Urology, Urologic Medical Center, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai 200080, China
| | - L Zhang
- Department of Andrology, Center for Men's Health, Institute of Urology, Urologic Medical Center, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai 200080, China
| | - Y J Li
- Department of Andrology, Center for Men's Health, Institute of Urology, Urologic Medical Center, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai 200080, China
| | - X Li
- Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai 200080, China
| | - Z Li
- Department of Andrology, Center for Men's Health, Institute of Urology, Urologic Medical Center, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai 200080, China
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Ren ZQ, Wang YF, Ao GF, Chen HX, Huang M, Lai MX, Zhao HD, Zhao R. Overall adjustment acupuncture for postmenopausal osteoporosis (PMOP): a study protocol for a randomized sham-controlled trial. Trials 2020; 21:465. [PMID: 32493411 PMCID: PMC7268299 DOI: 10.1186/s13063-020-04435-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2020] [Accepted: 05/19/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Osteoporosis is becoming more prevalent in aging societies worldwide, and the economic burden attributable to osteoporotic fractures is substantial. The medications presently available to treat osteoporosis have side effects. Acupuncture is widely used for treating osteoporotic postmenopausal women because it is non-invasive and has fewer side effects, but the powerful clinical evidence for its efficacy remains insufficient. Our study intends to explore the effect of overall adjustment acupuncture (OA) in the treatment of postmenopausal osteoporosis (PMOP). METHODS/DESIGN This study is a randomized, sham-controlled, patient- and assessor-blinded trial and aims to evaluate the effect of OA in women with PMOP. We will recruit 104 women aged 45-70 years with a diagnosis of PMOP. Participants will be randomly allocated in a 1:1 ratio to the OA group and the sham acupuncture (SA) group. Both groups will receive real herbal medicine treatment as a basic treatment twice a day for 3 months, the OA group receives real acupuncture treatment and the SA group receives placebo acupuncture treatment (non-penetrating, sham skin-needle therapy, sham cupping). All patients will receive acupuncture treatment twice per week for 3 months. The primary outcome is bone mineral density (BMD) and the secondary outcomes include estradiol (E2), follicle-stimulating hormone (FSH), bone gla protein (BGP), bone alkaline phosphatase (BALP), total antioxidant capacity (TAC), advanced oxidation protein products (AOPP), PPARγ, β-catenin, FoxO3a levels, visual analog pain scale score (VAS), Traditional Chinese medicine (TCM) syndrome scores and quality of daily life score (QOL). Outcome measures will be collected at baseline, middle of the treatment (1.5 months), the end of treatment (3 months). The present protocol followed the SPIRIT guidelines and fulfills the SPIRIT Checklist. CONCLUSION This study will be conducted to compare the efficacy of OA versus SA. This trial should help to evaluate whether OA can effectively prevent and treat PMOP by improving the estrogen levels of postmenopausal women. The mechanism is to improve the imbalance of osteogenic differentiation and lipogenesis of bone-marrow cells under oxidative stress. TRIAL REGISTRATION Chinese Clinical Trial Registry, ID: ChiCTR1800017581. Registered on 5 August 2018. URL: http://www.chictr.org.cn.
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Affiliation(s)
- Z Q Ren
- Nanjing University of Chinese Medicine, No.138 Xianlin Road, Nanjing, 210046, China.,The First Affiliated Hospital of Dali University, No. 32 Jiashibo Road, Dali, 671000, Yunnan Province, China
| | - Y F Wang
- School of Acupuncture-Tuina and Rehabilitation, Yunnan University of Chinese Medicine, No.1076 Yuhua Road, Chenggong District, Kunming, 650500, Yunnan Province, China
| | - G F Ao
- The First Affiliated Hospital of Dali University, No. 32 Jiashibo Road, Dali, 671000, Yunnan Province, China
| | - H X Chen
- School of Acupuncture-Tuina and Rehabilitation, Yunnan University of Chinese Medicine, No.1076 Yuhua Road, Chenggong District, Kunming, 650500, Yunnan Province, China
| | - M Huang
- Department of Acupuncture, Kunming Municipal Hospital of Traditional Chinese Medicine, 25 Dongfeng Road, Panlong District, Kunming, 650011, Yunnan Province, China
| | - M X Lai
- School of Acupuncture-Tuina and Rehabilitation, Yunnan University of Chinese Medicine, No.1076 Yuhua Road, Chenggong District, Kunming, 650500, Yunnan Province, China
| | - H D Zhao
- The First Affiliated Hospital of Dali University, No. 32 Jiashibo Road, Dali, 671000, Yunnan Province, China
| | - R Zhao
- The First Affiliated Hospital of Yunnan University of Chinese Medicine, No.120 Guanghua Road, Wuhua District, Kunming, 650032, Yunnan Province, China.
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Liu KL, Chen HX, Liu Y, Fu QM. Correlation of maternal components and blood lipids during pregnancy with the onset of preeclampsia. J BIOL REG HOMEOS AG 2020; 34:1. [PMID: 32363845 DOI: 10.23812/19-369-l] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Affiliation(s)
- K L Liu
- Department of Obstetrics & Gynecology, People's Hospital of Baoan District, Shenzhen City, China
| | - H X Chen
- Department of Obstetrics & Gynecology, The Third People's Hospital of Longgang District, Shenzhen City, China
| | - Y Liu
- Department of Obstetrics & Gynecology, People's Hospital of Baoan District, Shenzhen City, China
| | - Q M Fu
- Department of Obstetrics & Gynecology, People's Hospital of Baoan District, Shenzhen City, China
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Dai PL, Du XS, Hou Y, Li L, Xia YX, Wang L, Chen HX, Chang L, Li WH. Different Proteins Regulated Apoptosis, Proliferation and Metastasis of Lung Adenocarcinoma After Radiotherapy at Different Time. Cancer Manag Res 2020; 12:2437-2447. [PMID: 32308480 PMCID: PMC7135201 DOI: 10.2147/cmar.s219967] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 03/15/2020] [Indexed: 12/25/2022] Open
Abstract
Introduction The biological changes after irradiation in lung cancer cells are important to reduce recurrence and metastasis of lung cancer. To optimize radiotherapy of lung adenocarcinoma, our study systematically explored the mechanisms of biological behaviors in residual A549 and XWLC-05 cells after irradiation. Methods Colony formation assay, cell proliferation assay, cell migration assay, flow cytometry, BALB/C-nu mice xenograft models and Western blot of pan-AKT, p-Akt380, p-Akt473, PCNA, DNA-PKCS, KU70, KU80, CD133, CD144, MMP2 and P53 were used in our study to assess biological changes after irradiation with 0, 4 and 8 Gy at 0–336 hr after irradiation in vitro and 20 Gy at transplantation group, irradiated transplantation group, residual tumor 0, 7, 14, 21, and 28 days groups in vivo. Results The ability of cell proliferation and radiosensitivity of residual XWLC-05 cells was better than A549 cells after radiation in vivo and in vitro. MMP-2 has statistical differences in vitro and in vivo and increased with the migratory ability of cells in vitro. PCNA and P53 have statistical differences in XWLC-05 and A549 cells and the changes of them are similar to the proliferation of residual cells within first 336 hr after irradiation in vitro. Pan-AKT increased after irradiation, and residual tumor 21-day group (1.5722) has statistic differences between transplantation group (0.9763, p=0.018) and irradiated transplantation group (0.8455, p=0.006) in vivo. Pan-AKT rose to highest when 21-day after residual tumor reach to 0.5 mm2. MMP2 has statistical differences between transplantation group (0.4619) and residual tumor 14-day group (0.8729, p=0.043). P53 has statistical differences between residual tumor 7-day group (0.6184) and residual tumor 28 days group (1.0394, p=0.007). DNA-PKCS has statistical differences between residual tumor 28 days group (1.1769) and transplantation group (0.2483, p=0.010), irradiated transplantation group (0.1983, p=0.002) and residual tumor 21 days group (0.2017, p=0.003), residual tumor 0 days group (0.5992) and irradiated transplantation group (0.1983, p=0.027) and residual tumor 21 days group (0.2017, p=0.002). KU80 and KU70 have no statistical differences at any time point. Conclusion Different proteins regulated apoptosis, proliferation and metastasis of lung adenocarcinoma after radiotherapy at different times. MMP-2 might regulate metastasis ability of XWLC-05 and A549 cells in vitro and in vivo. PCNA and P53 may play important roles in proliferation of vitro XWLC-05 and A549 cells within first 336 hr after irradiation in vitro. After that, P53 may through PI3K/AKT pathway regulate cell proliferation after irradiation in vitro. DNA-PKCS may play a more important role in DNA damage repair than KU70 and KU80 after 336 hr in vitro because it rapidly rose than KU70 and KU80 after irradiation. Different cells have different time rhythm in apoptosis, proliferation and metastasis after radiotherapy. Time rhythm of cells after irradiation should be delivered and more attention should be paid to resist cancer cell proliferation and metastasis.
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Affiliation(s)
- P L Dai
- Radiotherapy Department, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650100, People's Republic of China.,Kunming Medical University, Kunming, Yunnan 650100, People's Republic of China
| | - X S Du
- Oncology Department, The Fifth People's Hospital of Huaian, Jiangsu 223001, People's Republic of China
| | - Y Hou
- Radiotherapy Department, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650100, People's Republic of China
| | - L Li
- Radiotherapy Department, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650100, People's Republic of China
| | - Y X Xia
- Radiotherapy Department, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650100, People's Republic of China
| | - L Wang
- Radiotherapy Department, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650100, People's Republic of China
| | - H X Chen
- Radiotherapy Department, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650100, People's Republic of China
| | - L Chang
- Radiotherapy Department, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650100, People's Republic of China
| | - W H Li
- Radiotherapy Department, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650100, People's Republic of China
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Zou GM, Zhuo L, Zhou XF, Chen HX, Li WG. [Clinical analysis of 43 cases of retroperitoneal laparoscopic renal biopsy]. Zhonghua Yi Xue Za Zhi 2019; 99:2532-2535. [PMID: 31484282 DOI: 10.3760/cma.j.issn.0376-2491.2019.32.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: Percutaneous renal biopsycurrently is the most important and widely used method of renal biopsy. However, there still are some patients in whom a percutaneous approach may be considered a major risk. In these patients, renal biopsy under direct vision is a reliable alternative. We described our personal technique and experience in a series of Chinese patients who underwent retroperitoneal laparoscopic renal biopsy. Methods: We retrospectively reviewed the patients who had performed retroperitoneal laparoscopic renal biopsy over a 4-year period (Jan 2013 to Jan 2017).Forty-three patients with renal dysfunction were involved inour center.Especially some patients showed atrophic kidney and poor visualization on ultrasonography. The patients' abnormal conditions includeddialysis (10 cases), morbid obesity (5 cases), deaf-mutes (2 cases) and uncontrolled severe hypertension. The kidney was approached via alaparoscopic retroperitoneal route using athree-ports technique. Then biopsies were performed bya 16-gaugebiopsy needle, and hemostasis was achieved by compression.In less cases, a topical spray hemostatic gel was required. Results: Biopsy was performed successfully in all cases and adequate renal tissue was acquired.Mean operative time was 59.4 minutes, mean blood loss was 36.5 ml.Under general anesthesia, no anesthetic accidents and related complications were recorded. Forty-onepatients were discharged within 24 h after operation. Onepatient occurred disseminated intravascular coagulationduring operation. Red blood cell transfusion and fresh-frozen plasma infusion were performed. Injury at hilum of kidney was detected in another patient. And extrapyelogenic repair surgery was performed. Conclusions: The retroperitoneallaparoscopic renal biopsy is a safe, reliable, minimallyinvasive alternative renal biopsy method with better haemostasis, fewer complications and a rapid recovery. As the helpful supplement of percutaneous renal biopsy, this technique may have to be used more often in the future.
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Affiliation(s)
- G M Zou
- Graduate School of Peking Union Medical College, Division of Nephrology, China-Japan Friendship Hospital, Beijing 100730, China
| | - L Zhuo
- Division of Nephrology, China-Japan Friendship Hospital, Beijing 100029, China
| | - X F Zhou
- Division of Urology, China-Japan Friendship Hospital, Beijing 100029, China
| | - H X Chen
- Division of Urology, China-Japan Friendship Hospital, Beijing 100029, China
| | - W G Li
- Graduate School of Peking Union Medical College, Division of Nephrology, China-Japan Friendship Hospital, Beijing 100730, China
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Feng SJ, Li AZ, Zheng QT, Cao BY, Chen HX. Numerical model of aerobic bioreactor landfill considering aerobic-anaerobic condition and bio-stable zone development. Environ Sci Pollut Res Int 2019; 26:15229-15247. [PMID: 30929171 DOI: 10.1007/s11356-019-04875-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 03/13/2019] [Indexed: 06/09/2023]
Abstract
Aeration by airflow technology is a reliable method to accelerate waste biodegradation and stabilization and hence shorten the aftercare period of a landfill. To simulate hydro-biochemical behaviors in this type of landfills, this study develops a model coupling multi-phase flow, multi-component transport and aerobic-anaerobic biodegradation using a computational fluid dynamics (CFD) method. The uniqueness of the model is that it can well describe the evolution of aerobic zone, anaerobic zone, and temperature during aeration and evaluate aeration efficiency considering aerobic and anaerobic biodegradation processes. After being verified using existing in situ and laboratory test results, the model is then employed to reveal the bio-stable zone development, aerobic biochemical reactions around vertical well (VW), and anaerobic reactions away from VW. With an increase in the initial organic matter content (0.1 to 0.4), the bio-stable zone expands at a decreasing speed but with all the horizontal ranges larger than 17 m after an intermittent aeration for 1000 days. When waste intrinsic permeability is equal or greater than 10-11 m2, aeration using a low pressure between 4 and 8 kPa is appropriate. The aeration efficiency would be underestimated if anaerobic biodegradation is neglected because products of anaerobic biodegradation would be oxidized more easily. A horizontal spacing of 17 m is suggested for aeration VWs with a vertical spacing of 10 m for screens. Since a lower aeration frequency can give greater aeration efficiency, a 20-day aeration/20-day leachate recirculation scenario is recommended considering the maximum temperature over a reasonable range. For wet landfills with low temperature, the proportion of aeration can be increased to 0.67 (20-day aeration/10-day leachate recirculation) or an even higher value.
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Affiliation(s)
- Shi-Jin Feng
- Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China
| | - An-Zheng Li
- Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China
| | - Qi-Teng Zheng
- Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China
| | - Ben-Yi Cao
- Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ, UK
| | - Hong-Xin Chen
- Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China.
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Tian RH, Chen HX, Zhao LY, Yang C, Li P, Wan Z, Huang YH, Zhi EL, Liu NC, Yao CC, Wang XB, Xue YJ, Gong YH, Hong Y, Li Z. [Efficacy and safety study of microsurgical varicocelectomy in the treatment of non-obstructive azoospermia with varicocele]. Zhonghua Yi Xue Za Zhi 2019; 98:3737-3740. [PMID: 30541213 DOI: 10.3760/cma.j.issn.0376-2491.2018.46.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To discuss the efficacy and safety of subinguinal microsurgical varicocelectomy in the treatment of non-obstructive azoospermia (NOA) with varicocele. Methods: The clinical data of 141 patients with NOA and varicocele who underwent subinguinal microsurgical varicocelectomy from March 2015 to June 2017 in Shanghai General Hospital was collected.One hundred and ten patients suffered from varicocele on the left side, 1 on the right side, and the rest (30 cases) were bilateral varicocele. Grade Ⅰ varicocele were found on 7 sides (the right and left side was count respectively), grade Ⅱ on 121 sides, and grade Ⅲ on 43 sides. Sperm analysis, pregnancy rate and complications were recorded after at least 6 months since operation. Results: Eleven cases were lost during the follow-up. Eighteen of the remaining 130 NOA patients processed successful sperm retrieval in post-operative semen analysis (18/130, 13.8%). Six couples(6/130, 4.6%) succeeded in natural pregnancy. Five couples (5/130, 3.8%)underwent successful pregnancy following with intracytoplasmic sperm injection(ICSI). Twenty-six out of the remaining 112 patients underwent the micro dissection testicular sperm extraction (micro-TESE), and 4 patients got a successful sperm retrieval (4/26, 15.4%). Among them, 2 couples had successful pregnancy with ICSI. Totally 2 cases of postoperative infection of incision were found. Conclusions: Microsurgical varicocelectomy had a beneficial effect on sperm quality of patients suffered from NOA with varicocele to some extent, even leading to unassisted pregnancy or avoiding micro-TESE before ICSI. Microsurgical varicocelectomy could be applied in the treatment of NOA with varicocele.
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Affiliation(s)
- R H Tian
- Department of Urology, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai 200080, China
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Feng SJ, Peng MQ, Chen ZL, Chen HX. Transient analytical solution for one-dimensional transport of organic contaminants through GM/GCL/SL composite liner. Sci Total Environ 2019; 650:479-492. [PMID: 30199692 DOI: 10.1016/j.scitotenv.2018.08.413] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2018] [Revised: 08/17/2018] [Accepted: 08/29/2018] [Indexed: 06/08/2023]
Abstract
Analytical solution for transport of organic contaminants through composite liner consisting of a geomembrane (GM), a geosynthetic clay liner (GCL), and a soil liner (SL) with finite thickness is presented. The transient diffusion-advection processes in the whole composite liner and adsorption in GCL and SL can be described by the present method. The method is successfully verified against analytical solution to a coupling transient diffusion-advection problem in double-layer porous media. The rationality of the steady-state transport assumption in GM and GCL and the semi-infinite bottom boundary assumption, which are widely adopted in the existing works, is comprehensively investigated. The overestimated zone, underestimated zone and no difference zone caused by the two assumptions under various conditions are identified. With the increase of elapsed time, the overestimated zone disappears, and the underestimated zone becomes smaller and smaller and finally is overwhelmed by the no difference zone. Moreover, the equivalency between GM/GCL/SL and GM/CCL composite liners is also properly assessed by the present method. GM/GCL/SL composite liner performs better than GM/CCL composite liner under high leachate level condition.
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Affiliation(s)
- Shi-Jin Feng
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Ming-Qing Peng
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Zhang-Long Chen
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Hong-Xin Chen
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
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Miao XH, Lian ZY, Liu J, Chen HX, Shi ZY, Zhou HY, Yang R. [Investigation and analysis of health-related quality of life in myasthenia gravis patients with myasthenia gravis quality of life-15 Chinese version]. Beijing Da Xue Xue Bao Yi Xue Ban 2018; 50:514-520. [PMID: 29930422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
OBJECTIVE To investigate the level and influencing factors of health-related quality of life in myasthenia gravis (MG) patients with myasthenia gravis quality of life-15 (MGQOL-15) Chinese version and to provide corresponding measures in one tertiary hospital of Sichuan Province. METHODS We collected the general data (gender, age, body mass index BMI, marital status, educational level and employee status), clinical data [Osserman type, myasthenia gravis composite (MGC), other immunopathies, disease duration, frequency of outpatient visits per month, ratio of disease cost to income each month and frequency of symptoms during the past month] and the MGQOL-15 Chinese version from 168 myasthenia gravis patients in one tertiary hospital of Sichuan Province. RESULTS The mean score of MGQOL-15 was 17.67±12.78. The score of the item "My occupational skills and job status have been negatively affected." was the highest, followed by "I have trouble using my eyes." and "I am frustrated by my MG." Single factor analysis showed that MG patients' QOL were different with different disease severity MGC (F=19.353, P<0.001), ratio of disease cost to income each month (F=5.831, P<0.001) and the frequency of symptoms during the past month (F=9.128,P<0.001). Multiple regression analysis showed that disease severity MGC (β=0.743,P<0.001), ration of disease cost to income each month (β=3.347,P<0.001) and the frequency of symptoms during the past month (β=2.216,P<0.003) were the main predictors of HRQOL in the MG patients. CONCLUSION Our study showed that the MGQOL-15 is helpful for clinicians to evaluate MG patients' QOL regularly, investigate the influencing factors and implement corresponding interventions the so as to improve the patients' quality of life. Disease severity MGC, ratio of disease cost to income each month and the frequency of symptoms during the past month were the main predictors of MG patients' QOL. Clinicians should pay more attention to MG patients' disease severity MGC and the frequency of symptoms during the past month.
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Affiliation(s)
- X H Miao
- Department of Neurology,West China Hospital, Sichuan University, Chengdu 610041, China
| | - Z Y Lian
- Department of Neurology,West China Hospital, Sichuan University, Chengdu 610041, China
| | - J Liu
- Department of Neurology,West China Hospital, Sichuan University, Chengdu 610041, China
| | - H X Chen
- Department of Neurology,West China Hospital, Sichuan University, Chengdu 610041, China
| | - Z Y Shi
- Department of Neurology,West China Hospital, Sichuan University, Chengdu 610041, China
| | - H Y Zhou
- Department of Neurology,West China Hospital, Sichuan University, Chengdu 610041, China
| | - R Yang
- Department of Neurology,West China Hospital, Sichuan University, Chengdu 610041, China
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Li P, Chen HX, Huang YH, Zhi EL, Tian RH, Zhao H, Yang F, Sun HF, Gong YH, Zhu ZJ, Hong Y, Liu YD, Xia SJ, Li Z. [Effectiveness of microsurgical crossover anastomosis in treating complicated obstructive azoospermia]. Zhonghua Yi Xue Za Zhi 2018; 96:2868-2871. [PMID: 27760628 DOI: 10.3760/cma.j.issn.0376-2491.2016.36.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the efficacy and safety of microsurgical crossover vasovasostomy in treating complicated obstructive azoospermia. Methods: The data of 14 patients with complicated obstructive azoospermia treated with microsurgical crossover vasovasostomy were reviewed from October 2012 to March 2016.Ten of them underwent microsurgical crossover vasovasostomy. Intraoperative exploration revealed that 2 patients had vas deferens injury and contralateral testicular atrophy or epididymal obstruction due to previous hernia repair; 7 patients had obstruction of intracorporeal vas deferens on one side and epididymal obstruction on the other side; the other 1 patient had unilateral vasal obstruction with contralateral epididymal obstruction. Furthermore, 4 patients underwent microsurgical crossover vasoepididymostomy, including 3 patients who had obstruction at caput epididymis on one side, and obstruction at cauda epididymis and distal vas deferens on the other side; the other patient had absence of vas deferens in the scrotum on one side, and testicular atrophy on the other side. Regular follow-up visits were conducted after the surgery. Results: Two patients were lost to follow-up; the other 12 patients were follow-up for an average of 11 (range: 2-23) months. In the 10 cases receiving microsurgical crossover vasovasostomy (including 2 patients lost to follow-up), 1 has not undergone semen re-analysis, 6 were confirmed patent, including 3 reporting spontaneous pregnancy. The patency rate in the 4 patients receiving microsurgical crosseover vasoepididymostomy was 2/4, with 1 patient reporting spontaneous pregnancy. There was no complaint of discomfort or complications following the surgery. Conclusions: Microsurgical crossover anastomosis may be effective and safe for patients with complicated obstructive azoospermia, according to preoperative assessment and intraoperative exploration. It allows natural conception for patients with refractory infertility. The microsurgical crossover anastomosis could be an effective therapy to achieve satisfactory patency of vas deferens.
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Affiliation(s)
- P Li
- Department of Andrology and Pelvic Floor Surgery, Urologic Medical Center, Center for Men's Health, Institute of Urology, Shanghai General Hospital, Shanghai Key Lab of Reproductive Medicine, Shanghai Jiaotong University, Shanghai 200080, China
| | - H X Chen
- Department of Andrology and Pelvic Floor Surgery, Urologic Medical Center, Center for Men's Health, Institute of Urology, Shanghai General Hospital, Shanghai Key Lab of Reproductive Medicine, Shanghai Jiaotong University, Shanghai 200080, China
| | - Y H Huang
- Department of Andrology and Pelvic Floor Surgery, Urologic Medical Center, Center for Men's Health, Institute of Urology, Shanghai General Hospital, Shanghai Key Lab of Reproductive Medicine, Shanghai Jiaotong University, Shanghai 200080, China
| | - E L Zhi
- Department of Andrology and Pelvic Floor Surgery, Urologic Medical Center, Center for Men's Health, Institute of Urology, Shanghai General Hospital, Shanghai Key Lab of Reproductive Medicine, Shanghai Jiaotong University, Shanghai 200080, China
| | - R H Tian
- Department of Andrology and Pelvic Floor Surgery, Urologic Medical Center, Center for Men's Health, Institute of Urology, Shanghai General Hospital, Shanghai Key Lab of Reproductive Medicine, Shanghai Jiaotong University, Shanghai 200080, China
| | - H Zhao
- Department of Andrology and Pelvic Floor Surgery, Urologic Medical Center, Center for Men's Health, Institute of Urology, Shanghai General Hospital, Shanghai Key Lab of Reproductive Medicine, Shanghai Jiaotong University, Shanghai 200080, China
| | - F Yang
- Department of Andrology and Pelvic Floor Surgery, Urologic Medical Center, Center for Men's Health, Institute of Urology, Shanghai General Hospital, Shanghai Key Lab of Reproductive Medicine, Shanghai Jiaotong University, Shanghai 200080, China
| | - H F Sun
- Department of Andrology and Pelvic Floor Surgery, Urologic Medical Center, Center for Men's Health, Institute of Urology, Shanghai General Hospital, Shanghai Key Lab of Reproductive Medicine, Shanghai Jiaotong University, Shanghai 200080, China
| | - Y H Gong
- Department of Andrology and Pelvic Floor Surgery, Urologic Medical Center, Center for Men's Health, Institute of Urology, Shanghai General Hospital, Shanghai Key Lab of Reproductive Medicine, Shanghai Jiaotong University, Shanghai 200080, China
| | - Z J Zhu
- Department of Andrology and Pelvic Floor Surgery, Urologic Medical Center, Center for Men's Health, Institute of Urology, Shanghai General Hospital, Shanghai Key Lab of Reproductive Medicine, Shanghai Jiaotong University, Shanghai 200080, China
| | - Y Hong
- Department of Andrology and Pelvic Floor Surgery, Urologic Medical Center, Center for Men's Health, Institute of Urology, Shanghai General Hospital, Shanghai Key Lab of Reproductive Medicine, Shanghai Jiaotong University, Shanghai 200080, China
| | - Y D Liu
- Department of Andrology and Pelvic Floor Surgery, Urologic Medical Center, Center for Men's Health, Institute of Urology, Shanghai General Hospital, Shanghai Key Lab of Reproductive Medicine, Shanghai Jiaotong University, Shanghai 200080, China
| | - S J Xia
- Department of Andrology and Pelvic Floor Surgery, Urologic Medical Center, Center for Men's Health, Institute of Urology, Shanghai General Hospital, Shanghai Key Lab of Reproductive Medicine, Shanghai Jiaotong University, Shanghai 200080, China
| | - Z Li
- Department of Andrology and Pelvic Floor Surgery, Urologic Medical Center, Center for Men's Health, Institute of Urology, Shanghai General Hospital, Shanghai Key Lab of Reproductive Medicine, Shanghai Jiaotong University, Shanghai 200080, China
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Feng SJ, Cao BY, Li AZ, Chen HX, Zheng QT. CFD modeling of hydro-biochemical behavior of MSW subjected to leachate recirculation. Environ Sci Pollut Res Int 2018; 25:5631-5642. [PMID: 29222661 DOI: 10.1007/s11356-017-0888-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Accepted: 11/29/2017] [Indexed: 06/07/2023]
Abstract
The most commonly used method of operating landfills more sustainably is to promote rapid biodegradation and stabilization of municipal solid waste (MSW) by leachate recirculation. The present study is an application of computational fluid dynamics (CFD) to the 3D modeling of leachate recirculation in bioreactor landfills using vertical wells. The objective is to model and investigate the hydrodynamic and biochemical behavior of MSW subject to leachate recirculation. The results indicate that the maximum recirculated leachate volume can be reached when vertical wells are set at the upper middle part of a landfill (H W/H T = 0.4), and increasing the screen length can be more helpful in enlarging the influence radius than increasing the well length (an increase in H S/H W from 0.4 to 0.6 results in an increase in influence radius from 6.5 to 7.7 m). The time to reach steady state of leachate recirculation decreases with the increase in pressure head; however, the time for leachate to drain away increases with the increase in pressure head. It also showed that methanogenic biomass inoculum of 1.0 kg/m3 can accelerate the volatile fatty acid depletion and increase the peak depletion rate to 2.7 × 10-6 kg/m3/s. The degradation-induced void change parameter exerts an influence on the processes of MSW biodegradation because a smaller parameter value results in a greater increase in void space.
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Affiliation(s)
- Shi-Jin Feng
- Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, China.
| | - Ben-Yi Cao
- Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, China
| | - An-Zheng Li
- Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, China
| | - Hong-Xin Chen
- Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, China
| | - Qi-Teng Zheng
- Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, China
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Ouyang HC, Ouyang FC, Mai LL, Chen YY, Hu YZ, Chen HX, Li WS. [Predictive value of cardiac magnetic resonance-derived parameters on the improvement of left ventricular function in patients with acute viral myocarditis]. Zhonghua Xin Xue Guan Bing Za Zhi 2017; 45:758-764. [PMID: 29036973 DOI: 10.3760/cma.j.issn.0253-3758.2017.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Objective: To evaluate the predictive value of cardiac magnetic resonance (CMR)-derived parameters on the improvement of left ventricular function in patients with acute viral myocarditis. Methods: Forty patients, who referred for acute viral myocarditis in our hospital from September 2011 to September 2015, were prospectively enrolled in this study.All patients were examined by CMR during hospitalization for acute viral myocarditis (baseline) and after 12 months.The CMR sequences include: two dimension steady state free precession, 2D SSFP; triple inversion recovery, triple IR; early gadolinium enhancement; phase sensitive inversion recovery turbo field echo, PSIR TFE. Results: Thirty out of 40 patients with susceptive acute viral myocarditis met the CMR criteria of acute viral myocarditis (Lake Louise Criteria) (LL+ ) and the other 10 patients did not meet the diagnostic criteria (LL-). Left ventricular ejection fraction (LVEF) values were significantly lower in LL+ group than in LL- group at baseline and at 12 months after discharge (P<0.01 or 0.05, respectively). The baseline left ventricular end-systolic volume index (LVESVI) was significantly higher in LL+ group than in LL- group (P<0.05) and was similar between the groups at 12 months follow up.Left ventricular end-diastolic volume index (LVEDVI )was similar between the two groups at baseline and at 12 months follow up.LVEF was significantly higher during 12 months follow up compared to baseline in LL+ group and remained unchanged in LL- group during the two time points.LVESVI and LVEDVI remained unchanged at baseline and during 12 months follow up both in LL+ and LL- groups (P>0.05). Results showed that LL+ , edema ratio (ER) positive and global relative enhancement (gRE) positive were associated with significant increase of LVEF at 12 months follow up.However, LL-, ER negative, gRE negative, late gadolinium enhancement(LGE) negative and LGE positive linked with unchanged LVEF at 12 months follow up (P>0.05). Patients were further divided into LVEF increase (ΔLVEF≥5%) group and non LVEF increase group (ΔLVEF<5%), the results of Chi-square test showed that LL+ and ER positive were related to the improvement of LVEF (P<0.05), while gRE and LGE were not associated with improvement of cardiac function (P>0.05). Multiple linear regression analysis, using ER, gRE and LGE as independent variables and LVEF as dependent variables, showed that the presence of myocardial edema was the strongest independent predictor of an increase in LVEF at follow up (full model: non-standardized coefficient 0.445, P=0.043; reduced model: non-standardized coefficient 0.442, P=0.12). Conclusion: Cardiac magnetic resonance imaging monitoring is valuable to observe the cardiac function and morphology changes in patients with acute viral myocarditis, and myocardial edema imaging is the most powerful parameter to predict the improvement of LVEF in this patient cohort.
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Affiliation(s)
- H C Ouyang
- Department of Cardiology, Shunde Hospital of Southern Medical University(First People's Hospital of Shunde), Foshan 528300, China
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Chen HT, Deng SQ, Li ZY, Wang ZL, Li Q, Gao JK, Zhong YH, Suo DM, Lu LN, Pan SL, Chen HX, Cui YY, Fan JH, Wen JY, Zhong LR, Han FZ, Wang YH, Hu SJ, Liu PP. [Investigation of pregestational diabetes mellitus in 15 hospitals in Guangdong province]. Zhonghua Fu Chan Ke Za Zhi 2017; 52:436-442. [PMID: 28797149 DOI: 10.3760/cma.j.issn.0529-567x.2017.07.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the morbidity, diagnostic profile and perinatal outcome of pregestational diabetes mellitus (PGDM) in 15 hospitals in Guangdong province. Methods: A total of 41 338 women delivered in the 15 hospitals during the 6 months, 195 women with PGDM (PGDM group) and 195 women with normal glucose test result (control group) were recruited from these tertiary hospitals in Guangdong province from January 2016 to June 2016. The morbidity and diagnostic profile of PGDM were analyzed. The complications during pregnancy and perinatal outcomes were compared between the two groups. In the PGDM group, pregnancy outcomes were analyzed in women who used insulin treatment (n=91) and women who did not (n=104). Results: (1) The incidence of PGDM was 0.472%(195/41 338). Diabetes mellitus were diagnosed in 59 women (30.3%, 59/195) before pregnancy, and 136 women (69.7%,136/195) were diagnosed as PGDM after conceptions. Forty-six women (33.8%) were diagnosed by fasting glucose and glycohemoglobin (HbA1c) screening. (2) The maternal age, pre-pregnancy body mass index (BMI) , prenatal BMI, percentage of family history of diabetes, incidence of macrosomia, concentration of low density lipoprotein were significantly higher in PGDM group than those in control group (all P<0.05). Women in PGDM group had significantly higher HbA1c concentration ((6.3±1.3)% vs (5.2±0.4)%) , fasting glucose [(6.3±2.3) vs (4.8±1.1) mmol/L], oral glucose tolerance test (OGTT) -1 h glucose ((12.6±2.9) vs (7.1±1.3) mmol/L) and OGTT-2 h glucose [(12.0±3.0) vs (6.4±1.0) mmol/L] than those in control group (P<0.01). (3) The morbidity of preterm births was significantly higher (11.3% vs 1.0%, P<0.01), and the gestational age at delivery in PGDM group was significantly smaller [(37.6±2.3) vs (39.2±1.2) weeks, P<0.01]. Cesarean delivery rate in the PGDM group (70.8% vs 29.7%) was significantly higher than the control group (P<0.01). There was significantly difference between PGDM group and control in the neonatal male/female ratio (98/97 vs 111/84, P=0.033). The neonatal birth weight in PGDM group was significantly higher ((3 159±700) vs (3 451±423) g, P<0.01) . And the incidence of neonatal hypoglycemia in the PGDM group was higher than the control group (7.7% vs 2.6%, P=0.036). (4) In the PGDM group, women who were treated with insulin had a smaller gestational age at delivery [(36.9±2.9) vs (37.9±2.5) weeks, P<0.01], and the neonates had a higher neonatal ICU (NICU) admission rate (24.2% vs 9.6%, P<0.01). Conclusions: The morbidity of PGDM in the 15 hospitals in Guangdong province is 0.472%. The majority of PGDM was diagnosed during pregnancy; HbA1c and fasting glucose are reliable parameters for PGDM screening. Women with PGDM have obvious family history of diabetes and repeated pregnancy may accelerate the process of diabetes mellitus. Women with PGDM have higher risk for preterm delivery and neonatal hypoglycemia. Unsatisfied glucose control followed by insulin treatment may increase the need for NICU admission.
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Affiliation(s)
- H T Chen
- Department of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
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Zheng YH, Xiong B, Deng YY, Lai W, Zheng SY, Bian HN, Liu ZA, Huang ZF, Sun CW, Li HH, Luo HM, Ma LH, Chen HX. [Effects of allogeneic bone marrow mesenchymal stem cells on polarization of peritoneal macrophages in rats with sepsis]. Zhonghua Shao Shang Za Zhi 2017; 33:217-223. [PMID: 28427135 DOI: 10.3760/cma.j.issn.1009-2587.2017.04.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the effects of allogeneic bone marrow mesenchymal stem cells (BMSCs) on polarization of peritoneal macrophages isolated from rats with sepsis induced by endotoxin/lipopolysaccharide (LPS). Methods: (1) BMSCs were isolated, cultured and purified from 5 SD rats with whole bone marrow adherent method. The third passage of cells were collected for morphologic observation, detection of expressions of stem cell surface markers CD29, CD44, CD45, and CD90 with flow cytometer, and identification of osteogenic and adipogenic differentiation. (2) Another 45 SD rats were divided into sham injury group (SI, n=5), LPS control group (LC, n=20), and BMSCs-treated group (BT, n=20) according to the random number table. Rats in groups LC and BT were injected with LPS (5 mg/kg) via tail vein to induce sepsis; rats in group SI were injected with the same amount of normal saline to simulate the damage. At post injury hour (PIH) 1, rats in group BT were given 1 mL BMSCs (2×10(6)/mL) via tail vein injection; rats in another two groups were injected with equal volume of phosphate buffer saline. Five rats in group SI at PIH 24 and in groups LC and BT at PIH 6, 12, 24, and 48 were sacrificed to harvest lung tissue for pathological observation with HE staining. In addition, rats in group SI at PIH 24 and in groups LC and BT at PIH 24 and 48 were simultaneously performed with intraperitoneal injection of low-glucose DMEM. Then peritoneal fluid was harvested to culture peritoneal macrophages. Flow cytometer was used to assess the positive expression of cell makers of macrophages including CD68 (making gate), CD11c, and CD206 in group SI at PIH 24 and in groups LC and BT at PIH 24 and 48. Data were processed with one-way analysis of variance and LSD test. Results: (1) The third passage of cells showed uniform fiber-like shape similar to fibroblasts. These cells showed positive expressions of CD29, CD44, CD90 and weak positive expression of CD45. They were able to differentiate into osteoblasts and adipocytes. These cells were identified as BMSCs. (2) At PIH 24, the structure of pulmonary alveoli of rats in group SI was clear and complete with no congestion or inflammatory cell infiltration. At PIH 6, the structure of pulmonary alveoli of rats in groups LC and BT was clear with a small amount of inflammatory cell infiltration, slight congestion and pulmonary interstitial thickening. At PIH 12, the inflammatory responses in lung tissue of rats in group LC were more severe than those in group BT with a large amount of inflammatory cell infiltration, serious congestion, and obvious pulmonary interstitial thickening. The pathological results of rats in group BT at PIH 12 was consistent with the results at PIH 6. At PIH 24, the pathological results of rats in groups LC and BT were similar to the results at PIH 12. At PIH 48, the structure of pulmonary alveoli tissue of rats in group LC was still severely disrupted, with a large number of inflammatory cell infiltration and congestion in lung tissue, but pulmonary interstitial thickening was slightly alleviated than before. The condition of rats in group BT nearly recovered to that in group SI. (3) At PIH 24, the positive expression rate of CD11c in peritoneal macrophages of rats in group LC [(83±10)%] was close to that in group BT [(87±7)%, P>0.05], and they were both significantly higher than the rate in group SI [(55±12)%, with P values below 0.01]. The positive expression rate of CD11c in peritoneal macrophages of rats in group LC [(59±11)%] at PIH 48 was close to that in group SI at PIH 24 (P>0.05), and they were both significantly higher than the rate in group BT [(20±11)%] at PIH 48 (with P values below 0.01). At PIH 24, the positive expression percentages of CD206 in peritoneal macrophages of rats were similar among the three groups (with P values above 0.05). The positive expression percentage of CD206 in peritoneal macrophages of rats in group SI at PIH 24 was close to that in group BT at PIH 48 (P>0.05), and they were both significantly lower than the percentage in group LC at PIH 48 (with P values below 0.01). Conclusions: BMSCs can reduce the pathological inflammatory responses in the lung of rats with sepsis and inhibit peritoneal macrophages from polarizing into M1 phenotype, whereas they can not promote macrophages to polarize into M2 phenotype.
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Affiliation(s)
- Y H Zheng
- Medical College of Shantou University, Shantou 515041, China
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Chen HX, Cai C, Liu JY, Zhang ZG, Yuan M, Jia JN, Sun ZG, Huang HR, Gao JM, Li WM. [Discriminatory power of variable number on tandem repeats loci for genotyping Mycobacterium tuberculosis strains in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2017. [PMID: 28647985 DOI: 10.3760/cma.j.issn.0254-6450.2017.06.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: Using the standard genotype method, variable number of tandem repeats (VNTR), we constructed a VNTR database to cover all provinces and proposed a set of optimized VNTR loci combinations for each province, in order to improve the preventive and control programs on tuberculosis, in China. Methods: A total of 15 loci VNTR was used to analyze 4 116 Mycobacterium tuberculosis strains, isolated from national survey of Drug Resistant Tuberculosis, in 2007. Hunter-Gaston Index (HGI) was also used to analyze the discriminatory power of each VNTR site. A set combination of 12-VNTR, 10-VNTR, 8-VNTR and 5-VNTR was respectively constructed for each province, based on 1) epidemic characteristics of M. tuberculosis lineages in China, with high discriminatory power and genetic stability. Results: Through the completed 15 loci VNTR patterns of 3 966 strains under 96.36% (3 966/4 116) coverage, we found seven high HGI loci (including QUB11b and MIRU26) as well as low stable loci (including QUB26, MIRU16, Mtub21 and QUB11b) in several areas. In all the 31 provinces, we found an optimization VNTR combination as 10-VNTR loci in Inner Mongolia, Chongqing and Heilongjiang, but with 8-VNTR combination shared in other provinces. Conclusions: It is necessary to not only use the VNTR database for tracing the source of infection and cluster of M. tuberculosis in the nation but also using the set of optimized VNTR combinations in monitoring those local epidemics and M. tuberculosis (genetics in local) population.
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Affiliation(s)
- H X Chen
- Zhejiang Provincial Key Laboratory for Technology, Application of Model Organisms, School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou 325035, China; National Tuberculosis Clinical Laboratory of China, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China
| | - C Cai
- The Drug-resistant TB Key Laboratory of Beijing, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China
| | - J Y Liu
- Zhejiang Provincial Key Laboratory for Technology, Application of Model Organisms, School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou 325035, China; National Tuberculosis Clinical Laboratory of China, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China
| | - Z G Zhang
- The Institute of Tuberculosis Prevention and Control of Changping District, Beijing 102200, China
| | - M Yuan
- Yuncheng City Emergency Center, Yuncheng 044000, China
| | - J N Jia
- National Tuberculosis Clinical Laboratory of China, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Z G Sun
- National Tuberculosis Clinical Laboratory of China, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China
| | - H R Huang
- National Tuberculosis Clinical Laboratory of China, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China
| | - J M Gao
- Zhejiang Provincial Key Laboratory for Technology, Application of Model Organisms, School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou 325035, China
| | - W M Li
- National Tuberculosis Clinical Laboratory of China, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China
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Feng SJ, Zheng QT, Chen HX. Unsaturated flow parameters of municipal solid waste. Waste Manag 2017; 63:107-121. [PMID: 28129928 DOI: 10.1016/j.wasman.2017.01.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Revised: 01/11/2017] [Accepted: 01/16/2017] [Indexed: 06/06/2023]
Abstract
Leachate pollution/recirculation and landfill gas emission are the major environmental concerns in municipal solid waste (MSW) landfills. A good understanding and prediction of MSW unsaturated properties are critical for the design of piping systems and the control of these problems within landfills. This paper reviews the recent studies of unsaturated properties of MSW, including experimental methods, theoretical models and corresponding model parameters. For experimental methods, the sample size is a common and significant limitation and large test apparatuses (e.g., >80cm in diameter) are generally required and valuable. The theoretical models for MSW also have some limitations due to the changes in waste composition and particle size distribution caused by biodegradation. Thus, the available data of intrinsic permeabilities, water retention curves, relative permeabilities and anisotropy of MSW were summarized to investigate the influences of porosity, waste composition and particle size distribution. A series of estimation methods were subsequently proposed to determine the parameters of water retention curve like θLm, θLr, nv and α. The other parameters such as the pore connectivity term (l) and the degree of anisotropy (k) were significantly lacking data, thus only their relationships with porosity were proposed. The results show that it is possible to define the second order effects caused by variations in porosity, waste composition and particle size distribution. However, the estimation methods still need more experimental data for improvement, especially their dependence on waste composition and particle size distribution.
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Affiliation(s)
- Shi-Jin Feng
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Qi-Teng Zheng
- Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - H X Chen
- Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China
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Feng SJ, Gao KW, Chen YX, Li Y, Zhang LM, Chen HX. Geotechnical properties of municipal solid waste at Laogang Landfill, China. Waste Manag 2017; 63:354-365. [PMID: 27659867 DOI: 10.1016/j.wasman.2016.09.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2016] [Revised: 08/13/2016] [Accepted: 09/14/2016] [Indexed: 06/06/2023]
Abstract
Landfills have been widely constructed all around the world in order to properly dispose municipal solid waste (MSW). Understanding geotechnical properties of MSW is essential for the design and operation of landfills. A comprehensive investigation of geotechnical properties of MSW at the largest landfill in China was conducted, including waste composition, unit weight, void ratio, water content, hydraulic conductivity, and shear behavior. A large-scale rigid-wall permeameter and a direct-shear apparatus were adopted to test the hydraulic conductivity and shear behavior of the MSW, respectively. The composition of the MSW varied with age. With the depth increasing from 0 to 16m, the unit weight increased from 7.2 to 12.5kN/m3, while the void ratio decreased from 2.5 to 1.76. The water content ranged between 30.0% and 68.9% but did not show a trend with depth. The hydraulic conductivity of the MSW ranged between 4.6×10-4 and 6.7×10-3cm/s. It decreased as the dry unit weight increased and was sensitive to changes in dry unit weight in deeper layers. Displacement-hardening was observed during the whole shearing process and the shear strength increased with the normal stress, the displacement rate, and the unit weight. The friction angle and cohesion varied from (15.7°, 29.1kPa) to (21.9°, 18.3kPa) with depth increasing from 4 to 16m. The shear strength of the MSW obtained in this study was lower than the reported values in other countries, which was caused by the less fibrous materials in the specimens in this study. The results in this study will provide guidance in the design and operation of the landfills in China.
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Affiliation(s)
- Shi-Jin Feng
- Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China.
| | - Ke-Wei Gao
- College of Civil Engineering, Tongji University, Shanghai 200092, China
| | - Yi-Xin Chen
- College of Civil Engineering, Tongji University, Shanghai 200092, China
| | - Yao Li
- College of Civil Engineering, Tongji University, Shanghai 200092, China
| | - L M Zhang
- Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - H X Chen
- Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China
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Zhao LY, Tian RH, Huang YH, Chen HX, Li P, Wan Z, Yao CC, Yang C, Zhi EL, Li Z. [Correlation between anatomical factors of spermatic vessels and varicocele]. Zhonghua Yi Xue Za Zhi 2017; 97:1244-1247. [PMID: 28441854 DOI: 10.3760/cma.j.issn.0376-2491.2017.16.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the correlation between anatomy of spermatic vessels and varicocele, providing reference for the preoperative assessment and treatment of varicocele. Methods: A total of 156 patients who underwent microsurgical left subinguinal varicocelectomy at Shanghai General Hospital between May 2015 and July 2016 were included in this study. The severity of varicocele and number of spermatic vessels detected in operations were recorded. According to the number of internal spermatic arteries (ISAs), the patients were divided into three groups: single-ISA group (55 cases), double-ISAs group (63 cases) and multi-ISAs group (38 cases), to analyze the correlation among spermatic vessels and to compare varicocele grade, the volume of testes, the parameter of semen analysis, serum reproductive hormone, surgery time, and hospital stay among the three groups. Results: The number of ISAs was positively correlated with the ipsilateral internal spermatic veins (ISVs) (r=0.210; P=0.008)and lymphatic vessels (r=0.224; P=0.005); the number of lymphatic vessels was positively correlated with the ipsilateral gubernacular veins (r=0.172; P=0.032)and ISVs (r=0.296; P=0.000) . The number of ISVs in the multi-ISAs group (10.58±4.28) was significantly larger than that in the single-ISA group (8.22±3.10, P=0.003). The number of lymphatic vessels in the multi-ISAs group(4.11±1.90)was also significantly larger than that in the double-ISA group(3.76±1.40, P=0.020) and the single-ISA group(3.13±1.52, P=0.007). The number of ISVs in grade 2 varicocele patients (9.74±3.90) was significantly higher than that in grade 3 varicocele patients (8.33±3.10, P=0.013). No significant differences in varicocele grade, change of pre- and post-operative semen analysis, serum reproductive hormone, the volume of ipsilateral testes, surgery time, and hospital stay were observed among the three groups. Conclusions: There is a correlation among various kinds of spermatic vessels. Patients with grade 2 varicocele, especially who have multiple ISAs, are likely to have more ISVs and lymphatic vessels. For these patients, surgeons should pay more attention to protect spermatic arteries and lymphatics carefully while ligating varicose veins completely to prevent recurrence and complications.
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Affiliation(s)
- L Y Zhao
- Department of Andrology, Urologic Medical Center, Center for Men's Health, Institute of Urology, Shanghai General Hospital, Shanghai Key Lab of Reproductive Medicine, Shanghai Jiaotong University, Shanghai 200080, China
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You W, Liu LJ, Chen HX, Xiong JY, Wang DM, Huang JH, Ding JL, Wang DP. Application of 3D printing technology on the treatment of complex proximal humeral fractures (Neer3-part and 4-part) in old people. Orthop Traumatol Surg Res 2016; 102:897-903. [PMID: 27521179 DOI: 10.1016/j.otsr.2016.06.009] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2015] [Revised: 03/15/2016] [Accepted: 06/09/2016] [Indexed: 02/02/2023]
Abstract
PURPOSE This study was conducted to investigate the feasibility and clinical potential of using the 3D printing technology (3DPT) versus typical strategy (thin-layer CT scan) for the treatment of complicated proximal humeral fractures (PHFs) in old people. METHODS Sixty-six old patients age ranging from 61 to 76 years with persistent complicated PHFs were randomly assigned to two groups as per the controlled randomization table (34 cases in the test group and 32 cases in the control group). In the test group, 3DPT was applied to build the 3D facture model of a patient, according to the data acquired from the thin-layer CT scan and subsequently processed with Mimics software. This helped to confirm the diagnosis, design the individual operation plan, simulate the surgical procedures and perform the surgery as plan. In the control group, only thin-layer CT scan was applied for the design of the operation plan prior to the surgery. Here, parameters including surgery duration, blood loss volume during surgery, the number of fluoroscopy, time to union were statistically analyzed for two groups after the operation. The screw lengths designed before the surgery and measured during the surgery were compared. RESULTS The 3D PHF model generated using 3DPT was able to provide the visual display and omni-directional observation of the direction and severity of the fracture dislocation, which facilitated preoperative diagnosis, operation planning and design, data measurement, preselection of internal fixator and surgical outcome simulation. According to the follow-up ranging from 12∼28 months for the 66 patients, the results showed no significant difference in time to union between the two groups (P>0.05). Apart from that, less surgery duration, less blood loss during surgery, less number of fluoroscopy can be observed compared with the control group (P<0.05). CONCLUSIONS In this study, 3DPT showed great clinical feasibility of the treatment of complicated PHFs. The 3D-print PHF model had the ability to clearly display the fracture and thus was useful to determine the fracture classification and the magnitude of fracture injury. It benefited surgeons to gain a better understanding of complicated PHFs, design a most suitable operation plan prior to surgery and facilitate the doctor-patient communication. This therefore enabled the reduction of intraoperative injury and the optimization of surgical outcomes.
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Affiliation(s)
- W You
- Department of traumatic orthopaedics, the affiliated clinical college Shenzhen second people's hospital, Anhui medical university, 230000 Hefei, Anhui, P.R. China; Shenzhen digital orthopedics technology engineering laboratory, Sun Gang West road, 518035 Shenzhen, Guangdong, P.R. China
| | - L J Liu
- Department of traumatic orthopaedics, the affiliated clinical college Shenzhen second people's hospital, Anhui medical university, 230000 Hefei, Anhui, P.R. China
| | - H X Chen
- Department of traumatic orthopaedics, the affiliated clinical college Shenzhen second people's hospital, Anhui medical university, 230000 Hefei, Anhui, P.R. China
| | - J Y Xiong
- Department of traumatic orthopaedics, the affiliated clinical college Shenzhen second people's hospital, Anhui medical university, 230000 Hefei, Anhui, P.R. China
| | - D M Wang
- Department of traumatic orthopaedics, the affiliated clinical college Shenzhen second people's hospital, Anhui medical university, 230000 Hefei, Anhui, P.R. China
| | - J H Huang
- Shenzhen digital orthopedics technology engineering laboratory, Sun Gang West road, 518035 Shenzhen, Guangdong, P.R. China
| | - J L Ding
- Department of traumatic orthopaedics, the affiliated clinical college Shenzhen second people's hospital, Anhui medical university, 230000 Hefei, Anhui, P.R. China
| | - D P Wang
- Shenzhen digital orthopedics technology engineering laboratory, Sun Gang West road, 518035 Shenzhen, Guangdong, P.R. China.
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Chen HX, Hu XY, Guo JM, Wang GM, Wang H. [Outcomes of mini-flank incision for open partial nephrectomy for stage T 1b renal tumor]. Zhonghua Yi Xue Za Zhi 2016; 96:3236-3238. [PMID: 27852391 DOI: 10.3760/cma.j.issn.0376-2491.2016.40.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the safety and efficacy of mini-flank incision for open partial nephrectomy for stage T1b renal tumor. Methods: The data of patients with stage T1b renal tumor who underwent mini-flank incision for open partial nephrectomy between January 2010 to September 2015 were retrospectively reviewed. The Nephron-sparing surgery (NSS) was performed through mini-flank supra-12th rib incision under general anesthesia. Results: A total of 47 patients(31 male and 16 female) were enrolled in our study. The median age was 40 years (range 22-67 years). The Zhongshan Score(ZS score) of renal tumors was 6 in 5 cases, 7 in 13 cases, 8 in 12 cases, 9 in 5 cases, 10 in 6 cases, 11 in 2 cases, 12 in 2 cases, 13 in 2 cases. The length of incision was from 7 cm to 9 cm, with an average of 8.1 cm. The operative time was from 70 min to 150 min, with an average of 96 min. The blood loss was from 50 ml to 600 ml, with an average of 135 ml. The warm ischemia time was from 20 min to 35 min, with an average of 28 min. All of the surgery margin were negative. One patient had fluid in surgical region and relieved after the drainage, and one patient had acute myocardial infarction. The hospital stay time was from 5 d to 14 d, with an average of 8 d. The pathological diagnosis included clear cell carcinoma in 37 cases, multilocular cystic renal carcinoma in 1 case, chromophobe cell tumor in 4 cases, and papillary carcinoma in 5 cases. The mean preoperative serum creatinine level was 87 μmol/L(48-150 μmol/L) and with a mean of 91 μmol/L(52-148 μmol/L) at 3 month follow-up after surgery, and there was no difference between the preoperative and postoperative period(P>0.05). A total of 45 out of 47 patients were followed up for 36 to 78 months, with an average of 60 months, and no one had recurrence or metastasis during follow-up. Conclusion: Mini-flank incision for open partial nephrectomy for renal tumor with stage T1b is safe and effective, which is worthy of promotion and application for small incision and quick recovery.
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Affiliation(s)
- H X Chen
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
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Abstract
Erosive oral lichen planus (OLP) is a chronic autoimmune condition of unknown aetiology, characterized by periods of exacerbation and quiescence. Many patients with OLP report triggers of flares that overlap with triggers of other oral diseases, including oral allergy syndrome (OAS), an IgE-mediated food allergy. We report a case that, to our knowledge, is the first reported case of concurrent OLP and OAS diagnoses, which provides insight into the triggers of OLP and the role of trigger avoidance. A woman in her 60s presented with erosive OLP refractory to prednisone and azathioprine. She reported that certain food exposures triggered flares of her OLP. She was subsequently diagnosed with concurrent OAS, and avoidance of food allergens resulted in a clinically significant improvement in her OLP, eventually allowing her to taper off systemic treatment altogether. Further studies are needed to pinpoint common triggers and examine the role of trigger avoidance as a management strategy for OLP.
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Affiliation(s)
- H X Chen
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - W J Yount
- Department of Allergy and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - D A Culton
- Department of Dermatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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Chen HX, Jiang H, Huo JL, Wen JF, Zhu HS, Ma CH, Zhou H, Lv JH, Deng MH. Molecular characteristics and cloning of two pepper genes AN2 and UPA20. Genet Mol Res 2014; 13:2531-8. [PMID: 24535901 DOI: 10.4238/2014.january.17.6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The complete coding sequences (CDSs) of "Yunnan Purple Pepper No.1" (Capsicum annuum L.) AN2 and UPA20 genes were amplified using the reverse transcriptase polymerase chain reaction on the basis of the conserved sequence information of some Solanaceae plants and known highly homologous pepper expressed sequence tags. The nucleotide sequence analysis of these 2 genes revealed that pepper AN2 gene encoded a protein of 263 amino acids that has high homology with the AN2-like protein of 4 species: tobacco, tomato, potato, and petunia. The UPA20 gene encoded a protein of 341 amino acids that has high homology with the proteins of 3 species: tobacco, petunia, and tomato. The tissue expression analysis indicated that the pepper AN2 gene was overexpressed in the pericarp and placenta; moderately in stems, flowers, and seeds; and weakly in the roots, leaves, and pericarp. The pepper UPA20 gene was overexpressed in the flowers and seeds; moderately expressed in the roots and stems; and weakly expressed in the leaves and placenta. Our findings might form the basis for further research on these 2 pepper genes.
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Affiliation(s)
- H X Chen
- College of Horticulture, Hunan Agricultural University, Changsha, China
| | - H Jiang
- College of Horticulture, Hunan Agricultural University, Changsha, China
| | - J L Huo
- Yunnan Agricultural University, Kunming, China
| | - J F Wen
- Kunming University of Science and Technology, Kunming, China
| | - H S Zhu
- Yunnan Agricultural University, Kunming, China
| | - C H Ma
- Yunnan Agricultural University, Kunming, China
| | - H Zhou
- Yunnan Agricultural University, Kunming, China
| | - J H Lv
- Yunnan Agricultural University, Kunming, China
| | - M H Deng
- Yunnan Agricultural University, Kunming, China
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Wen JF, Huo JL, Chen HX, Ma CH, Jiang H, Zhu HS, Zhou H, Deng MH. Cloning and bioinformatic analysis of full-length novel pepper (Capsicum annuum) genes TAF10 and TAF13. Genet Mol Res 2013; 12:6947-56. [PMID: 24391043 DOI: 10.4238/2013.december.19.14] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
We isolated two TATA-binding protein-associated factor (TAF) genes, TAF10 and TAF13, from pepper (Capsicum annuum). The complete coding sequences were amplified using reverse transcriptase-PCR on the basis of conserved sequence information of eggplant and several other plant species. Nucleotide sequence analysis of these two genes revealed that the pepper TAF10 gene encodes a protein of 103 amino acids that belongs to the TAF10 superfamily. The pepper TAF10 gene was highly expressed in the pericarp and placenta, moderately expressed in the stems, flowers, seeds and leaves, and weakly expressed in roots. The TAF13 gene was found to encode a protein of 130 amino acids that belongs to the TAF13 superfamily. The TAF13 gene was highly expressed in the stems, flowers and pericarp, moderately expressed in the leaves, placenta and seeds, and weakly expressed in roots.
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Affiliation(s)
- J F Wen
- Kunming University of Science and Technology, Kunming, China
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Sang AJ, Sun TN, Chen MS, Chen HX, Liu LL. 6D vector orthogonal transformation and its application in multiview video coding. The Imaging Science Journal 2013. [DOI: 10.1179/1743131x11y.0000000063] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Zhou XD, Chen HX, Guan RN, Lei YP, Shu X, Zhu Y, Lv NH. Protein kinase B phosphorylation correlates with vascular endothelial growth factor A and microvessel density in gastric adenocarcinoma. J Int Med Res 2013; 40:2124-34. [PMID: 23321169 DOI: 10.1177/030006051204000610] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
OBJECTIVE The signalling molecule protein kinase B (Akt) modulates many cellular processes. Phosphatidylinositol 3-kinase (PI3K)/Akt signalling pathways play important roles in tumour angiogenesis. The aim of this study was to determine the role of phosphorylated Akt (pAkt) in angiogenesis and its correlation with vascular endothelial growth factor (VEGF)-A in gastric adenocarcinoma. METHODS Tumour tissue and matched healthy gastric mucosa were obtained from patients undergoing surgical resection of gastric adenocarcinoma. Akt and pAkt were detected via Western blotting. VEGF-A, pAkt and CD34 were examined by immunohistochemistry. RESULTS Akt and pAkt protein levels were significantly higher in gastric cancer tissue than in normal tissue (n = 48 patients). Positive VEGF-A immunostaining was significantly associated with pAkt immunostaining. Microvessel density was correlated with both VEGF-A and pAkt positivity. CONCLUSIONS Phosphorylated Akt and VEGF-A are involved in angiogenesis of gastric adenocarcinoma, and Akt activation may contribute to angiogenesis via VEGF-A upregulation. The PI3K/Akt/VEGF signalling pathway may be involved in gastric adeno carcinoma.
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Affiliation(s)
- X D Zhou
- Department of Gastroenterology, First Affiliated Hospital of Nanchang University, Nanchang, China
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Niu B, Fang Y, Miao JM, Yu Y, Cao F, Chen HX, Zhang ZG, Mei W, Tian YK. Minimal alveolar concentration of sevoflurane for induction of isoelectric electroencephalogram in middle-aged adults. Br J Anaesth 2013; 112:72-8. [PMID: 23975567 DOI: 10.1093/bja/aet280] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND We determined the minimal alveolar concentration (MAC) of sevoflurane inducing an isoelectric EEG in 50% of adult subjects (MACie). METHODS We included 31 middle-aged subjects; 30 subjects finished the study protocol and received sevoflurane at preselected concentrations according to a modified Dixon 'up-and-down' design starting at 1.7 vol% with 0.2 vol% steps size. General anaesthesia was induced and maintained with sevoflurane; tracheal intubation was facilitated with cisatracurium. After a period of 30 min before skin incision, the state of isoelectric EEG was considered as significant when a burst suppression ratio of 100% lasted for >1 min. The haemodynamic responses to skin incision and the vasopressor requirement to maintain stable haemodynamic status were also analysed according to the EEG state. RESULTS MACie was 3.5% (95% confidence interval, 3.4-3.7%) in middle-aged subjects. When compared with subjects not in isoelectric EEG state, subjects in isoelectric EEG state received more phenylephrine to maintain stable haemodynamics (10 of 10 compared with 7 of 20 subjects, P=0.001) and experienced less sympathetic responses to skin incision (1 of 10 compared with 11 of 20 subjects, P=0.024). CONCLUSIONS MACie for sevoflurane was ∼2.1 times MAC for immobilization in phenobarbital premedicated middle-aged adults. Sevoflurane-induced isoelectric EEG state is associated with significant cardiovascular depression but reduced haemodynamic responses to skin incision.
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Affiliation(s)
- B Niu
- Department of Anaesthesiology and Pain Medicine, Tongji Hospital
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Argiris A, Kotsakis AP, Hoang T, Worden FP, Savvides P, Gibson MK, Gyanchandani R, Blumenschein GR, Chen HX, Grandis JR, Harari PM, Kies MS, Kim S. Cetuximab and bevacizumab: preclinical data and phase II trial in recurrent or metastatic squamous cell carcinoma of the head and neck. Ann Oncol 2012; 24:220-5. [PMID: 22898037 DOI: 10.1093/annonc/mds245] [Citation(s) in RCA: 111] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND We evaluated combined targeting with cetuximab, an anti-epidermal growth factor receptor (EGFR) monoclonal antibody, and bevacizumab, an anti-vascular endothelial growth factor (VEGF) monoclonal antibody, in squamous cell carcinoma of the head and neck (SCCHN). PATIENTS AND METHODS The combination was studied in human endothelial cells and head and neck and lung cancer xenograft model systems. Patients with recurrent or metastatic SCCHN were treated with weekly cetuximab and bevacizumab, 15 mg/kg on day 1 given intravenously every 21 days, until disease progression. Analysis of tumor biomarkers and related serum cytokines was performed. RESULTS Cetuximab plus bevacizumab enhanced growth inhibition both in vitro and in vivo, and resulted in potent reduction in tumor vascularization. In the clinical trial, 46 eligible patients were enrolled. The objective response rate was 16% and the disease control rate 73%. The median progression-free survival and overall survival were 2.8 and 7.5 months, respectively. Grade 3-4 adverse events were expected and occurred in less than 10% of patients. transforming growth factor alpha, placenta-derived growth factor, EGFR, VEGFR2 increased and VEGF decreased after treatment but did not correlate with treatment efficacy. CONCLUSIONS Cetuximab and bevacizumab are supported by preclinical observations and are well tolerated and active in previously treated patients with SCCHN.
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Affiliation(s)
- A Argiris
- Department of Medicine, Division of Hematology/Oncology, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
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Ablikim M, Achasov MN, Alberto D, Ambrose DJ, An FF, An Q, An ZH, Bai JZ, Ferroli RB, Ban Y, Becker J, Berger N, Bertani MB, Bian JM, Boger E, Bondarenko O, Boyko I, Briere RA, Bytev V, Cai X, Calcaterra AC, Cao GF, Chang JF, Chelkov G, Chen G, Chen HS, Chen HX, Chen JC, Chen ML, Chen SJ, Chen Y, Chen YB, Cheng HP, Chu YP, Cronin-Hennessy D, Dai HL, Dai JP, Dedovich D, Deng ZY, Denysenko I, Destefanis M, Ding WL, Ding Y, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Feng CQ, Fu CD, Fu JL, Gao Y, Geng C, Goetzen K, Gong WX, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo YP, Han YL, Hao XQ, Harris FA, He KL, He M, He ZY, Heng YK, Hou ZL, Hu HM, Hu JF, Hu T, Huang B, Huang GM, Huang JS, Huang XT, Huang YP, Hussain T, Ji CS, Ji Q, Ji XB, Ji XL, Jia LK, Jiang LL, Jiang XS, Jiao JB, Jiao Z, Jin DP, Jin S, Jing FF, Kalantar-Nayestanaki N, Kavatsyuk M, Kuehn W, Lai W, Lange JS, Leung JKC, Li CH, Li C, Li C, Li DM, Li F, Li G, Li HB, Li JC, Li K, Li L, Li NB, Li QJ, Li SL, Li WD, Li WG, Li XL, Li XN, Li XQ, Li XR, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao XT, Liu BJ, Liu CL, Liu CX, Liu CY, Liu FH, Liu F, Liu F, Liu H, Liu HB, Liu HH, Liu HM, Liu HW, Liu JP, Liu K, Liu K, Liu KY, Liu Q, Liu SB, Liu X, Liu XH, Liu YB, Liu Y, Liu ZA, Liu Z, Liu Z, Loehner H, Lu GR, Lu HJ, Lu JG, Lu QW, Lu XR, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lv M, Ma CL, Ma FC, Ma HL, Ma QM, Ma S, Ma T, Ma XY, Maggiora M, Malik QA, Mao H, Mao YJ, Mao ZP, Messchendorp JG, Min J, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Nefedov Y, Nikolaev IB, Ning Z, Olsen SL, Ouyang Q, Pacetti SP, Park JW, Pelizaeus M, Peters K, Ping JL, Ping RG, Poling R, Pun CSJ, Qi M, Qian S, Qiao CF, Qin XS, Qiu JF, Rashid KH, Rong G, Ruan XD, Sarantsev A, Schulze J, Shao M, Shen CP, Shen XY, Sheng HY, Shepherd MR, Song XY, Spataro S, Spruck B, Sun DH, Sun GX, Sun JF, Sun SS, Sun XD, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Thorndike EH, Tian HL, Toth D, Varner GS, Wang B, Wang BQ, Wang K, Wang LL, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang Q, Wang QJ, Wang SG, Wang XF, Wang XL, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wei DH, Wen QG, Wen SP, Wiedner U, Wu LH, Wu N, Wu W, Wu Z, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu GM, Xu H, Xu QJ, Xu XP, Xu Y, Xu ZR, Xue Z, Yan L, Yan WB, Yan YH, Yang HX, Yang T, Yang Y, Yang YX, Ye H, Ye M, Ye MH, Yu BX, Yu CX, Yu SP, Yuan CZ, Yuan WL, Yuan Y, Zafar AA, Zallo AZ, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang L, Zhang SH, Zhang TR, Zhang XJ, Zhang XY, Zhang Y, Zhang YH, Zhang YS, Zhang ZP, Zhang ZY, Zhao G, Zhao HS, Zhao J, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao XH, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zheng ZP, Zhong B, Zhong J, Zhou L, Zhou XK, Zhou XR, Zhu C, Zhu K, Zhu KJ, Zhu SH, Zhu XL, Zhu XW, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH, Zuo JX. Measurements of the mass and width of the η(c) using the decay ψ(3686)→γη(c). Phys Rev Lett 2012; 108:222002. [PMID: 23003588 DOI: 10.1103/physrevlett.108.222002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2011] [Indexed: 06/01/2023]
Abstract
The mass and width of the lowest-lying S-wave spin singlet charmonium state, the η(c), are measured using a data sample of 1.06×10(8) ψ(3686) decays collected with the BESIII detector at the BEPCII storage ring. We use a model that incorporates full interference between the signal reaction, ψ(3686)→γη(c), and a nonresonant radiative background to describe the line shape of the η(c) successfully. We measure the η(c) mass to be 2984.3±0.6±0.6 MeV/c(2) and the total width to be 32.0±1.2±1.0 MeV, where the first errors are statistical and the second are systematic.
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Affiliation(s)
- M Ablikim
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
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Sang AJ, Chen MS, Chen HX, Liu LL, Sun TN. Multi-dimensional vector matrix theory and its application in colour image coding. The Imaging Science Journal 2010. [DOI: 10.1179/136821910x12674329816668] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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