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Wang JM, Che JB, Yuan XW, Zhang JB. [Effects of different types of intraocular lens implantation on patient's visual quality and function after phacoemulsification]. Zhonghua Yi Xue Za Zhi 2024; 104:1391-1396. [PMID: 38644289 DOI: 10.3760/cma.j.cn112137-20231125-01198] [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: 04/23/2024]
Abstract
Objective: To explore the effects of different types of intraocular lens (IOL) implantation on patient's visual quality and function after phacoemulsification. Methods: The clinical data of patients with monocular cataract who underwent phacoemulsification in the Department of Ophthalmology, People's Hospital Affiliated to Shandong First Medical University between December 2021 and May 2023 were retrospectively analyzed. According to the types of IOL, the patients were divided into monofocal group, bifocal group and depth of focus extension group. Three months later, uncorrected distance visual acuity (UCDVA), best corrected distance visual acuity (BCDVA), uncorrected intermediate visual acuity (UCIVA), best corrected intermediate visual acuity (BCIVA), uncorrected near visual acuity (UCNVA) and best corrected near visual acuity (BCNVA) were detected. Contrast sensitivity and total wavefront aberration were measured by visual function analyzer. Satisfaction with visual quality was evaluated by hospital-made satisfaction questionnaire. Results: A total of 92 patients were included, with 31 males and 61 females, and their age was (61.8±5.2) years. There were 43, 28 and 21 cases in monofocal group, bifocal group and depth of focus extension group, respectively. No statistically significant difference was found in clinical baseline data among the three groups. UCIVA, UCDVA, BCIVA and BCDVA in depth of focus extension group were 1.01±0.13, 0.92±0.18, 1.21±0.19 and 1.20±0.23, respectively, which were higher than those in monofocal group (0.62±0.12, 0.74±0.13, 1.02±0.17, 1.07±0.19, respectively) and bifocal group (0.67±0.15, 0.78±0.14, 1.01±0.16, 1.01±0.18, respectively), while absolute value of spherical equivalent [(-0.42±0.07) D] was lower than that in the other two groups [ (-0.49±0.05) D and (-0.45±0.08) D] (both P<0.05). UCNVA and BCNVA in bifocal group were 0.91±0.18 and 1.25±0.18, which were higher than those in depth of focus extension group (0.63±0.24 and 1.19±0.17) (both P<0.05). There were no significant differences in contrast sensitivity among the three groups under day vision or between monofocal group and bifocal group under night vision (all P>0.05), but the contrast sensitivity was higher in depth of focus extension group under night vision (3.0, 6.0, 12.0 c/d) than other two groups (all P<0.05). The score of ocular discomfort was the highest in bifocal group, followed by depth of focus extension group and monofocal group (both P<0.05). The score of visual interference in bifocal group was lower than that in monofocal group and depth of focus extension group (both P<0.05). The scores of subjective feeling in bifocal group and depth of focus extension group were higher than that in monofocal group (both P<0.05). The reading score was the highest in bifocal group, followed by depth of focus extension group and monofocal group (both P<0.05). There was no significant difference in total low-order aberration among the three groups (P=0.472). The total aberration and higher-order aberration [(0.74±0.35) μm and (0.41±0.12) μm] were the highest in monofocal group, followed by bifocal group [(0.61±0.21) μm and (0.22±0.09) μm] and depth of focus extension group [(0.46±0.13) μm and (0.06±0.09) μm] (all P<0.05). Conclusions: IOL implantation with depth of focus extension can enhance visual range, night vision and contrast sensitivity, and thus effectively improve postoperative visual quality and function in cataract patients. The bifocal IOL can better improve the patient's UCNVA and BCNVA, resulting in high satisfaction with visual quality.
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Affiliation(s)
- J M Wang
- Department of Ophthalmology, People's Hospital Affiliated to Shandong First Medical University, Jinan 271199, China
| | - J B Che
- Department of Ophthalmology, People's Hospital Affiliated to Shandong First Medical University, Jinan 271199, China
| | - X W Yuan
- Department of Ophthalmology, People's Hospital Affiliated to Shandong First Medical University, Jinan 271199, China
| | - J B Zhang
- Department of Ophthalmology, People's Hospital Affiliated to Shandong First Medical University, Jinan 271199, China
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Wang YX, Yang HJ, Zhang WJ, Zhao XH, Cui MY, Zhang JB, Zhang XX, Fan D. Antimicrobial peptide cecropin B functions in pathogen resistance of Mythimna separata. Bull Entomol Res 2024:1-12. [PMID: 38602247 DOI: 10.1017/s0007485324000130] [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] [Indexed: 04/12/2024]
Abstract
Mythimna separata (Lepidoptera: Noctuidae) is an omnivorous pest that poses a great threat to food security. Insect antimicrobial peptides (AMPs) are small peptides that are important effector molecules of innate immunity. Here, we investigated the role of the AMP cecropin B in the growth, development, and immunity of M. separata. The gene encoding M. separata cecropin B (MscecropinB) was cloned. The expression of MscecropinB was determined in different developmental stages and tissues of M. separata. It was highest in the prepupal stage, followed by the pupal stage. Among larval stages, the highest expression was observed in the fourth instar. Tissue expression analysis of fourth instar larvae showed that MscecropinB was highly expressed in the fat body and haemolymph. An increase in population density led to upregulation of MscecropinB expression. MscecropinB expression was also upregulated by the infection of third and fourth instar M. separata with Beauveria bassiana or Bacillus thuringiensis (Bt). RNA interference (RNAi) targeting MscecropinB inhibited the emergence rate and fecundity of M. separata, and resulted in an increased sensitivity to B. bassiana and Bt. The mortality of M. separata larvae was significantly higher in pathogen plus RNAi-treated M. separata than in controls treated with pathogens only. Our findings indicate that MscecropinB functions in the eclosion and fecundity of M. separata and plays an important role in resistance to infection by B. bassiana and Bt.
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Affiliation(s)
- Yi-Xiao Wang
- College of Plant Protection, Northeast Agricultural University, Harbin, China
| | - Hong-Jia Yang
- College of Plant Protection, Northeast Agricultural University, Harbin, China
| | - Wei-Jia Zhang
- College of Plant Protection, Northeast Agricultural University, Harbin, China
| | - Xiao-Hui Zhao
- College of Plant Protection, Northeast Agricultural University, Harbin, China
| | - Meng-Yao Cui
- College of Plant Protection, Northeast Agricultural University, Harbin, China
| | - Jin-Bo Zhang
- College of Plant Protection, Northeast Agricultural University, Harbin, China
| | - Xin-Xin Zhang
- College of Plant Protection, Northeast Agricultural University, Harbin, China
| | - Dong Fan
- College of Plant Protection, Northeast Agricultural University, Harbin, China
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Elrys AS, Abo El-Maati MF, Dan X, Wen Y, Mou J, Abdelghany AE, Uwiragiye Y, Shuirong T, Yanzheng W, Meng L, Zhang J, Müller C. Aridity creates global thresholds in soil nitrogen retention and availability. Glob Chang Biol 2024; 30:e17003. [PMID: 37943245 DOI: 10.1111/gcb.17003] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 10/12/2023] [Accepted: 10/12/2023] [Indexed: 11/10/2023]
Abstract
Identifying tipping points in the relationship between aridity and gross nitrogen (N) cycling rates could show critical vulnerabilities of terrestrial ecosystems to climate change. Yet, the global pattern of gross N cycling response to aridity across terrestrial ecosystems remains unknown. Here, we collected 14,144 observations from 451 15 N-labeled studies and used segmented regression to identify the global threshold responses of soil gross N cycling rates and soil process-related variables to aridity index (AI), which decreases as aridity increases. We found on a global scale that increasing aridity reduced soil gross nitrate consumption but increased soil nitrification capacity, mainly due to reduced soil microbial biomass carbon (MBC) and N (MBN) and increased soil pH. Threshold response of gross N production and retention to aridity was observed across terrestrial ecosystems. In croplands, gross nitrification and extractable nitrate were inhibited with increasing aridity below the threshold AI ~0.8-0.9 due to inhibited ammonia-oxidizing archaea and bacteria, while the opposite was favored above this threshold. In grasslands, gross N mineralization and immobilization decreased with increasing aridity below the threshold AI ~0.5 due to decreased MBN, but the opposite was true above this threshold. In forests, increased aridity stimulated nitrate immobilization below the threshold AI ~1.0 due to increased soil C/N ratio, but inhibited ammonium immobilization above the threshold AI ~1.3 due to decreased soil total N and increased MBC/MBN ratio. Soil dissimilatory nitrate reduction to ammonium decreased with increasing aridity globally and in forests when the threshold AI ~1.4 was passed. Overall, we suggest that any projected increase in aridity in response to climate change is likely to reduce plant N availability in arid regions while enhancing it in humid regions, affecting the provision of ecosystem services and functions.
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Affiliation(s)
- Ahmed S Elrys
- College of Tropical Crops, Hainan University, Haikou, China
- Soil Science Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
- Liebig Centre for Agroecology and Climate Impact Research, Justus Liebig University, Giessen, Germany
| | - Mohamed F Abo El-Maati
- Agriculture Biochemistry Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
| | - Xiaoqian Dan
- College of Tropical Crops, Hainan University, Haikou, China
| | - YuHong Wen
- College of Tropical Crops, Hainan University, Haikou, China
| | - Jinxia Mou
- College of Tropical Crops, Hainan University, Haikou, China
| | - Ahmed Elsayed Abdelghany
- Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid, Areas of Ministry of Education, Northwest A&F University, Yangling, China
- Water Relation and Field Irrigation Department, Agriculture and Biological Institute, National Research Centre, Cairo, Egypt
| | - Yves Uwiragiye
- Department of Agriculture, Faculty of Agriculture, Environmental Management and Renewable Energy, University of Technology and Arts of Byumba, Byumba, Rwanda
- School of Geography, Nanjing Normal University, Nanjing, China
| | - Tang Shuirong
- College of Tropical Crops, Hainan University, Haikou, China
| | - Wu Yanzheng
- College of Tropical Crops, Hainan University, Haikou, China
| | - Lei Meng
- College of Tropical Crops, Hainan University, Haikou, China
| | - JinBo Zhang
- College of Tropical Crops, Hainan University, Haikou, China
- Liebig Centre for Agroecology and Climate Impact Research, Justus Liebig University, Giessen, Germany
- School of Geography, Nanjing Normal University, Nanjing, China
| | - Christoph Müller
- Liebig Centre for Agroecology and Climate Impact Research, Justus Liebig University, Giessen, Germany
- Institute of Plant Ecology, Justus Liebig University Giessen, Giessen, Germany
- School of Biology and Environmental Science and Earth Institute, University College Dublin, Dublin, Ireland
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Elrys AS, Wang J, Meng L, Zhu Q, El-Sawy MM, Chen Z, Tu X, El-Saadony MT, Zhang Y, Zhang J, Cai Z, Müller C, Cheng Y. Integrative knowledge-based nitrogen management practices can provide positive effects on ecosystem nitrogen retention. Nat Food 2023; 4:1075-1089. [PMID: 38053005 DOI: 10.1038/s43016-023-00888-6] [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] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 11/03/2023] [Indexed: 12/07/2023]
Abstract
Knowledge-based nitrogen (N) management provides better synchronization of crop N demand with N supply to enhance crop production while reducing N losses. Yet, how these N management practices contribute to reducing N losses globally is unclear. Here we compiled 5,448 paired observations from 336 publications representing 286 sites to assess the impacts of four common knowledge-based N management practices, including balanced fertilization, organic fertilization, co-application of synthetic and organic fertilizers, and nitrification inhibitors, on global ecosystem N cycling. We found that organic and balanced fertilization rather than N-only fertilization stimulated soil nitrate retention by enhancing microbial biomass, but also stimulated soil N leaching and emissions relative to no fertilizer addition. Nitrification inhibitors, however, stimulated soil ammonium retention and plant N uptake while reducing N leaching and emissions. Therefore, integrative application of knowledge-based N management practices is imperative to stimulate ecosystem N retention and minimize the risk of N loss globally.
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Affiliation(s)
- Ahmed S Elrys
- College of Tropical Crops, Hainan University, Haikou, China
- Soil Science Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
| | - Jing Wang
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, China
| | - Lei Meng
- College of Tropical Crops, Hainan University, Haikou, China
| | - Qilin Zhu
- College of Tropical Crops, Hainan University, Haikou, China
| | - Mostafa M El-Sawy
- Soil Science Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
| | - ZhaoXiong Chen
- School of Geography, Nanjing Normal University, Nanjing, China
| | - XiaoShun Tu
- School of Geography, Nanjing Normal University, Nanjing, China
| | - Mohamed T El-Saadony
- Department of Agricultural Microbiology, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
| | - YanHui Zhang
- School of Geography, Nanjing Normal University, Nanjing, China
| | - JinBo Zhang
- College of Tropical Crops, Hainan University, Haikou, China
- School of Geography, Nanjing Normal University, Nanjing, China
- Liebig Centre of Agroecology and Climate Impact Research, Justus Liebig University, Giessen, Germany
| | - ZuCong Cai
- School of Geography, Nanjing Normal University, Nanjing, China
- Liebig Centre of Agroecology and Climate Impact Research, Justus Liebig University, Giessen, Germany
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China
| | - Christoph Müller
- Liebig Centre of Agroecology and Climate Impact Research, Justus Liebig University, Giessen, Germany
- Institute of Plant Ecology, Justus Liebig University Giessen, Giessen, Germany
- School of Biology and Environmental Science and Earth Institute, University College Dublin, Dublin, Ireland
| | - Yi Cheng
- School of Geography, Nanjing Normal University, Nanjing, China.
- Liebig Centre of Agroecology and Climate Impact Research, Justus Liebig University, Giessen, Germany.
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China.
- Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, China.
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5
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Zhao CL, Sun LC, Zhang JB, Sun YY. [CIC-rearranged sarcoma: a clinicopathological analysis of six cases]. Zhonghua Bing Li Xue Za Zhi 2023; 52:1025-1027. [PMID: 37805394 DOI: 10.3760/cma.j.cn112151-20230306-00175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/09/2023]
Affiliation(s)
- C L Zhao
- Department of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China
| | - L C Sun
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China
| | - J B Zhang
- Department of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Y Y Sun
- Department of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China
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Zhang JB, Zou XJ, Zhang Q, Wang AY, Amir MB, Du YM, Liu XQ, Chen W, Lu ZJ, Yu HZ. Quantitative ubiquitylome crosstalk with proteome analysis revealed cytoskeleton proteins influence CLas pathogen infection in Diaphorina citri. Int J Biol Macromol 2023; 232:123411. [PMID: 36706880 DOI: 10.1016/j.ijbiomac.2023.123411] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 01/19/2023] [Accepted: 01/20/2023] [Indexed: 01/26/2023]
Abstract
Huanglongbing (HLB), also known as citrus greening disease, is caused by Candidatus Liberbacter asiaticus (CLas) and transmitted by Diaphorina citri. Previous studies reported that CLas infection significantly influences the structure of the D. citri cytoskeleton. However, the mechanisms through which CLas manipulates cytoskeleton-related proteins remain unclear. In this study, we performed quantitative ubiquitylome crosstalk with the proteome to reveal the roles of cytoskeleton-related proteins during the infection of D. citri by CLas. Western blotting revealed a significant difference in ubiquitination levels between the CLas-free and CLas-infected groups. According to ubiquitylome and 4D label-free proteome analysis, 343 quantified lysine ubiquitination (Kub) sites and 666 differentially expressed proteins (DEPs) were identified in CLas-infected groups compared with CLas-free groups. A total of 53 sites in 51 DEPs were upregulated, while 290 sites in 192 DEPs were downregulated. Furthermore, functional enrichment analysis indicated that 18 DEPs and 21 lysine ubiquitinated proteins were associated with the cytoskeleton, showing an obvious interaction. Ubiquitination of D. citri tropomyosin was confirmed by immunoprecipitation, Western blotting, and LC-MS/MS. RNAi-mediated knockdown of tropomyosin significantly increased CLas bacterial content in D. citri. In summary, we provided the most comprehensive lysine ubiquitinome analysis of the D. citri response to CLas infection, thus furthering our understanding of the role of the ubiquitination of cytoskeleton proteins in CLas infection.
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Affiliation(s)
- Jin-Bo Zhang
- College of Life Sciences, Gannan Normal University, Ganzhou, Jiangxi 341000, China
| | - Xiao-Jin Zou
- College of Life Sciences, Gannan Normal University, Ganzhou, Jiangxi 341000, China
| | - Qin Zhang
- College of Life Sciences, Gannan Normal University, Ganzhou, Jiangxi 341000, China
| | - Ai-Yun Wang
- Fruit Bureau of Xinfeng County, Ganzhou, Jiangxi 341000, China
| | - Muhammad Bilal Amir
- College of Life Sciences, Gannan Normal University, Ganzhou, Jiangxi 341000, China; South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China
| | - Yi-Min Du
- College of Life Sciences, Gannan Normal University, Ganzhou, Jiangxi 341000, China; National Navel Orange Engineering Research Center, Ganzhou, Jiangxi 341000, China; Ganzhou Key Laboratory of Nanling Insect Biology, Ganzhou, Jiangxi 341000, China
| | - Xiao-Qiang Liu
- College of Life Sciences, Gannan Normal University, Ganzhou, Jiangxi 341000, China
| | - Wei Chen
- College of Life Sciences, Gannan Normal University, Ganzhou, Jiangxi 341000, China; National Navel Orange Engineering Research Center, Ganzhou, Jiangxi 341000, China; Ganzhou Key Laboratory of Nanling Insect Biology, Ganzhou, Jiangxi 341000, China
| | - Zhan-Jun Lu
- College of Life Sciences, Gannan Normal University, Ganzhou, Jiangxi 341000, China; National Navel Orange Engineering Research Center, Ganzhou, Jiangxi 341000, China; Ganzhou Key Laboratory of Nanling Insect Biology, Ganzhou, Jiangxi 341000, China.
| | - Hai-Zhong Yu
- College of Life Sciences, Gannan Normal University, Ganzhou, Jiangxi 341000, China; National Navel Orange Engineering Research Center, Ganzhou, Jiangxi 341000, China; Ganzhou Key Laboratory of Nanling Insect Biology, Ganzhou, Jiangxi 341000, China.
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Che JB, Wang JM, Gao J, Han WH, Zhang JB. [Relationship between expression of NLRP3 inflammasome and improvement of macular structure in patients with wet age-related macular degeneration after anti-vascular endothelial growth factor therapy]. Zhonghua Yi Xue Za Zhi 2023; 103:265-270. [PMID: 36660787 DOI: 10.3760/cma.j.cn112137-20220823-01792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Objective: To explore the relationship between expression of nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3) inflammasome and improvement of macular structure in patients with wet age-related macular degeneration (wAMD) after anti-vascular endothelial growth factor (VEGF) therapy. Methods: A before-after study was carried out. A total of 110 patients (110 eyes) with wAMD who were admitted to Department of Ophthalmology, People's Hospital Affiliated to Shandong First Medical University between August 2019 and December 2021 were enrolled, and all patients were given vitreous injection of anti-VEGF drug (ranibizumab or bevacizumab). The aqueous humor was collected to detect mRNA levels of NLRP3, cysteinyl aspartate specific protease-1 (Caspase-1), apoptosis-associated speck-like protein (ASC) and interleukin (IL) 1β by fluorescence quantitative PCR. The levels of IL-1β, IL-18, tumor necrosis factor α (TNF-α) and VEGF in aqueous humor were detected by enzyme-linked immunosorbent assay (ELISA). The correlation between the above indexes and central macular thickness (CMT) in wAMD patients was analyzed by multivariate linear regression analysis. Results: In the 110 wAMD patients, there were 68 males and 42 females, with a mean age of (68.7±7.6) years. Compared with those before treatment, mRNA levels of NLRP3 (1.65±0.27, 1.34±0.19 vs 1.97±0.23, both P<0.017), Caspase-1 (1.47±0.15, 1.29±0.17 vs 1.53±0.18, both P<0.017), ASC (1.33±0.14, 1.21±0.18 vs 1.47±0.12, both P<0.017) and IL-1β (1.78±0.21, 1.46±0.17 vs 2.21±0.24, both P<0.017), and levels of IL-1β [(26.9±5.7), (20.3±4.6) vs (33.6±8.3) ng/L, both P<0.017], IL-18 [(32.7±7.6), (23.3±6.9) vs (46.4±9.4) ng/L, both P<0.017], TNF-α [(39.4±6.6), (21.7±6.3) vs (52.9±9.1) ng/L, both P<0.017] and VEGF [(35.7±10.2), (23.4±6.7) vs (65.4±19.3) ng/L, both P<0.017] were decreased after the first and second injection. Moreover, the above-mentioned indexes after second injection were lower than those after the first injection (all P<0.017). The results of multivariate linear regression analysis showed that NLRP3 mRNA (the first injection: β=53.750, P<0.001; the second injection: β=94.648, P<0.001), IL-1β (the first injection: β=1.356, P=0.021; the second injection: β=2.008, P=0.003), IL-18 (the first injection: β=1.984, P<0.001; the second injection: β=1.251, P=0.003) and VEGF (the first injection: β=1.875, P<0.001; the second injection: β=2.119, P<0.001) had linear relationships with CMT. Conclusion: The decrease of NLRP3 inflammasome and its products in aqueous humor may be related to the improvement of macular structure in wAMD patients after anti-VEGF therapy.
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Affiliation(s)
- J B Che
- Department of Ophthalmology, People's Hospital Affiliated to Shandong First Medical University, Jinan 271199, China
| | - J M Wang
- Department of Ophthalmology, People's Hospital Affiliated to Shandong First Medical University, Jinan 271199, China
| | - J Gao
- Department of Ophthalmology, People's Hospital Affiliated to Shandong First Medical University, Jinan 271199, China
| | - W H Han
- Department of Ophthalmology, People's Hospital Affiliated to Shandong First Medical University, Jinan 271199, China
| | - J B Zhang
- Department of Ophthalmology, People's Hospital Affiliated to Shandong First Medical University, Jinan 271199, China
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Yu Y, Zhang JY, Ma H, Han Y, Cheng LX, Tian XY, Wu JL, Li Y, Zhang YW, Chen DY, Li JZ, Zhang JB, Tao ZX, Kou ZQ, Xu A. [Analysis on the infection source of the first local cluster epidemic caused by the VOC/Gamma variant of SARS-CoV-2 in China]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1789-1794. [PMID: 36536567 DOI: 10.3760/cma.j.cn112150-20220802-00772] [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: 06/17/2023]
Abstract
Objective: To investigate a SARS-CoV-2 epidemic reported in Rongcheng City, Weihai, Shandong Province. Methods: The SARS-CoV-2 nucleic acid positive patients and their close contacts were investigated, and the whole genome sequencing and genetic evolution analysis of 9 variant viruses were carried out. An infection source investigation and analysis were carried out from two sources of home and abroad, and three aspects of human, material and environment. Results: A total of 15 asymptomatic infections were reported in this epidemic, including 13 cases as employees of workshop of aquatic products processing company, with an infection rate of 21.67% (13/60). Two cases were infected people's neighbors in the same village (conjugal relation). The first six positive persons were processing workers engaged in the first process of removing squid viscera in the workshop of the company. The nucleic acid Ct value of the first time were concentrated between 15 and 29, suggesting that the virus load was high, which was suspected to be caused by one-time homologous exposure. The whole genome sequence of 9 SARS-CoV-2 strains was highly homologous, belonging to VOC/Gamma (Lineage P.1.15). No highly homologous sequences were found from previous native and imported cases in China. It was highly homologous with the six virus sequences sampled from May 5 to 26, 2021 uploaded by Chile. The infection source investigation showed that the company had used the squid raw materials captured in the ocean near Chile and Argentina from May to June 2021 over the last 14 days. Many samples of raw materials, products and their outer packages in the inventory were tested positive for nucleic acid. Conclusion: This epidemic is the first local epidemic caused by the VOC/Gamma of SARS-CoV-2 in China. It is speculated that the VOC/Gamma, which was prevalent in South America from May to June 2021, could be imported into China through frozen squid.
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Affiliation(s)
- Y Yu
- Weihai Center for Disease Control and Prevention, Weihai 264200, China
| | - J Y Zhang
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - H Ma
- Rongcheng Center for Disease Control and Prevention, Rongcheng 264300, China
| | - Y Han
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - L X Cheng
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - X Y Tian
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - J L Wu
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - Y Li
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - Y W Zhang
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - D Y Chen
- Weihai Center for Disease Control and Prevention, Weihai 264200, China
| | - J Z Li
- Weihai Center for Disease Control and Prevention, Weihai 264200, China
| | - J B Zhang
- Weihai Center for Disease Control and Prevention, Weihai 264200, China
| | - Z X Tao
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - Z Q Kou
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - Aiqiang Xu
- Academy of Preventive Medicine, Shandong University; Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan 250014, China
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Zhang JB, Li LH, Zhu JQ, Zhou SF, Ma JH, Li ZQ, Jin XH, Lin XQ. Application of improved Glasgow coma scale score as switching point for sequential invasive-noninvasive mechanical ventilation on chronic obstructive pulmonary disease (COPD) with respiratory failure. Medicine (Baltimore) 2022; 101:e31857. [PMID: 36401492 PMCID: PMC9678540 DOI: 10.1097/md.0000000000031857] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND To compare the efficacy and feasibility of using a modified Glasgow coma scale (GCS) score of 13 or 15 as the criterion for switching chronic obstructive pulmonary disease (COPD) patients with respiratory failure to sequential invasive-noninvasive ventilation. METHODS COPD patients with respiratory failure who had undergone endotracheal intubation and invasive mechanical ventilation (IMV) between June 2017 and June 2020 at 4 different hospitals in China were included. A total of 296 patients were randomly divided into 2 groups. In group A, the patients were extubated and immediately placed on noninvasive ventilation (NIV) when the modified GCS score reached 13. In group B, the same was done when the modified GCS score reached 15. RESULTS No significant differences in the mean blood pressure, oxygenation index, arterial partial pressure of oxygen, and arterial partial pressure of carbon dioxide were seen between groups A and B before extubation and 3 hours after NIV. The re-intubation times were also similar in the 2 groups. Compared to group B, the length of hospital stay, incidence of ventilator associated pneumonia, and time of invasive ventilation were all significantly lower in group A (P = .041, .001, <.001). CONCLUSION Using a modified GCS score of 13 as the criterion for switching from IMV to NIV can significantly reduce the duration of IMV, length of hospital stay, and incidence of ventilator associated pneumonia in COPD patients with respiratory failure.
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Affiliation(s)
- Jin-Bo Zhang
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People’s Hospital of Wenling, Wenling, Zhejiang, China
| | - Li-Hong Li
- Infection Division, Wenling Hospital Affiliated to Wenzhou Medical University, The First People’s Hospital of Wenling, Wenling, Zhejiang, China
| | - Jin-Qiang Zhu
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People’s Hospital of Wenling, Wenling, Zhejiang, China
| | - Shi-Fang Zhou
- Department of Emergency Care, Changsha Central Hospital, Changsha, Hunan, China
| | - Ji-Hong Ma
- Intensive Care Unit, First Affiliated Hospital of Wenzhou Medical University, Wenling, Zhejiang, China
| | - Zhi-Qiang Li
- Intensive Care Unit, The First People’s Hospital of Jingmen, Jingmen, Hubei, China
| | - Xiao-Hong Jin
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People’s Hospital of Wenling, Wenling, Zhejiang, China
| | - Xiao-Qin Lin
- Department of Hepatopancreatobiliary Surgery, Wenling Hospital Affiliated to Wenzhou Medical University, The First People’s Hospital of Wenling, Wenling, Zhejiang, China
- * Correspondence: Xiao-Qin Lin, Department of Hepatopancreatobiliary Surgery, Wenling Hospital Affiliated to Wenzhou Medical University, The First People’s Hospital of Wenling, No. 333 Chuan an south Road, Wenling, Zhejiang 317500, China (e-mail: )
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10
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Ning N, Cai YM, Weng HL, Wang LZ, Wen CL, Zhang JB, Ye XS, Chen X. [Chlamydia trachomatis infection and its associated factors among asymptomatic outpatients attending sexually transmitted disease-related clinics]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1436-1440. [PMID: 36117351 DOI: 10.3760/cma.j.cn112338-20211015-00796] [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: 06/15/2023]
Abstract
Objective: To understand the prevalence of Chlamydia trachomatis (CT) infection and its associated factors among asymptomatic outpatients attending sexually transmitted disease (STD)-related clinics in Shenzhen and provide evidence for development of future interventions. Methods: From April 15 to May 16, 2018, a cross-sectional study was conducted and patients attending STD-related Clinics were recruited from 22 medical institutions in Nanshan, Luohu, Bao'an, Longgang, Yantian, and Longhua districts of Shenzhen. After the informed consent from each participant was obtained, social-demographic information was collected through a structured questionnaire and urine samples were collected for CT nucleic acid detection. In addition, logistic regression was used to explore associated factors of CT infection. Results: In asymptomatic outpatients, the prevalence of CT infection was 7.16% (250/3 492). Being single (aOR=2.29, 95%CI:1.65-3.16), without registered Shenzhen residency (aOR=1.49, 95%CI:1.04-2.13), and without previous CT testing in the past year (aOR=2.04, 95%CI:1.03-4.05) were the risk factors of CT infection in asymptomatic outpatients. Among participants without registered Shenzhen residency, 89.25% (2 176/2 438) were college-degree or below, and 51.29% (1 255/2 447) were aged ≤30 years, and the risk of CT infection among those ≤30 years old was 1.73 times higher than those >30 years old (95%CI:1.28-2.34). Conclusions: The prevalence of CT infection was high among asymptomatic outpatients attending STD-related clinics in Shenzhen. Routine CT screening should be carried out for this population, especially for those with sexually active age, being single, with low educational level, and without previous CT testing in the past year. Also, raising their awareness of knowledge and adverse outcomes of CT infection should be considered to promote routine CT screening and timely treatment.
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Affiliation(s)
- N Ning
- Department of Sexually Transmitted Disease and Leprosy Control and Prevention,Shenzhen Center for Chronic Disease Control, Shenzhen 518020,China
| | - Y M Cai
- Department of Sexually Transmitted Disease and Leprosy Control and Prevention,Shenzhen Center for Chronic Disease Control, Shenzhen 518020,China
| | - H L Weng
- Department of Sexually Transmitted Disease and Leprosy Control and Prevention,Shenzhen Center for Chronic Disease Control, Shenzhen 518020,China
| | - L Z Wang
- Department of Sexually Transmitted Disease and Leprosy Control and Prevention,Shenzhen Center for Chronic Disease Control, Shenzhen 518020,China
| | - C L Wen
- Department of Sexually Transmitted Disease and Leprosy Control and Prevention,Shenzhen Center for Chronic Disease Control, Shenzhen 518020,China
| | - J B Zhang
- Department of Sexually Transmitted Disease and Leprosy Control and Prevention,Shenzhen Center for Chronic Disease Control, Shenzhen 518020,China
| | - X S Ye
- Department of Sexually Transmitted Disease and Leprosy Control and Prevention,Shenzhen Center for Chronic Disease Control, Shenzhen 518020,China
| | - Xiangsheng Chen
- National Center for Sexually Transmitted Disease Control, Chinese Center for Disease Control and Prevention, Nanjing 210042, China
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11
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Zhang JB, Lu ZJ, Yu HZ. Silencing of Glycogen Synthase Kinase 3 Significantly Inhibits Chitin and Fatty Acid Metabolism in Asian Citrus Psyllid, Diaphorina citri. Int J Mol Sci 2022; 23:ijms23179654. [PMID: 36077052 PMCID: PMC9455978 DOI: 10.3390/ijms23179654] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/21/2022] [Accepted: 08/24/2022] [Indexed: 11/24/2022] Open
Abstract
Glycogen is a predominant carbohydrate reserve in various organisms, which provides energy for different life activities. Glycogen synthase kinase 3 (GSK3) is a central player that catalyzes glucose and converts it into glycogen. In this study, a GSK3 gene was identified from the D. citri genome database and named DcGSK3. A reverse transcription quantitative PCR (RT-qPCR) analysis showed that DcGSK3 was expressed at a high level in the head and egg. The silencing of DcGSK3 by RNA interference (RNAi) led to a loss-of-function phenotype. In addition, DcGSK3 knockdown decreased trehalase activity, glycogen, trehalose, glucose and free fatty acid content. Moreover, the expression levels of the genes associated with chitin and fatty acid synthesis were significantly downregulated after the silencing of DcGSK3. According to a comparative transcriptomics analysis, 991 differentially expressed genes (DEGs) were identified in dsDcGSK3 groups compared with dsGFP groups. A KEGG enrichment analysis suggested that these DEGs were primarily involved in carbon and fatty acid metabolism. The clustering analysis of DEGs further confirmed that chitin and fatty acid metabolism-related DEGs were upregulated at 24 h and were downregulated at 48 h. Our results suggest that DcGSK3 plays an important role in regulating the chitin and fatty acid metabolism of D. citri.
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Affiliation(s)
- Jin-Bo Zhang
- College of Life Sciences, Gannan Normal University, Ganzhou 341000, China
| | - Zhan-Jun Lu
- College of Life Sciences, Gannan Normal University, Ganzhou 341000, China
- National Navel Orange Engineering Research Center, Ganzhou 341000, China
- Ganzhou Key Laboratory of Nanling Insect Biology, Ganzhou 341000, China
| | - Hai-Zhong Yu
- College of Life Sciences, Gannan Normal University, Ganzhou 341000, China
- National Navel Orange Engineering Research Center, Ganzhou 341000, China
- Ganzhou Key Laboratory of Nanling Insect Biology, Ganzhou 341000, China
- Correspondence:
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12
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Li YP, Gui T, Sun DY, Zhang JB. [Investigation of small airway function of occupational asthma at different stages]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2022; 40:577-582. [PMID: 36052586 DOI: 10.3760/cma.j.cn121094-20210314-00140] [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: 06/15/2023]
Abstract
Objective: To analyze the characteristics of small airway dysfunction in patients with occupational asthma, and explore the significance of small airway function indicators in the evaluation of occupational asthma. Methods: A total of 53 patients with occupational asthma diagnosed in our hospital from December 2008 to December 2018 were retrospectively collected in May 2020. 55 healthy people were included as the control group (NC group) and 58 bronchial asthma patients as BA group. The general information and baseline pulmonary function (FVC、FEV(1)、PEF) of the subjects were collected, the pulmonary function were reexamined and small airway function (FEF(25%)pred、FEF(50%)pred、FEF(75%)pred、MMEF(25-75%)pred) were tested at the time of diagnosis and remission. Results: There was no significant difference in pulmonary function and asthma control score (ACT) between OA group and BA group (P=0.356, 0.610, 0.364, 0.430, 0.533, 0.759, 0.426, 0.632) . The incidence of small airway dysfunction in OA group was 77.4%. The indexes of small airway function (FEF(25%)pred, FEF(50%)pred, FEF(75%)pred, MMEF(25-75%)pred) were lower than those in the NC group (P<0.001) . The small airway function indexes of mild and moderate OA patients in remission stage were improved (P=0.029, 0.182) , but the abnormal rate of small airway function was still 62.3%, and there was no significant difference compared with those at the time of diagnosis (P=0.091) . Small airway function (MMEF(25-75%)pred, FEF(50%)pred) was correlated with large airway function (FEV(1)% pred, PEF% pred) (P=0.001) . Conclusion: Small airway dysfunction often occurs and persists in patients with occupational asthma, and has a certain correlation with large airway function indexes.
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Affiliation(s)
- Y P Li
- Respiratory Department, Honghe Prefecture Third People's Hospital, Honghe 661000, China
| | - T Gui
- Respiratory Department, Shanghai Pulmonary Hospital, Shanghai 200433, China
| | - D Y Sun
- Clinical Research Center of Occupational Diseases, Shanghai Pulmonary Hospital, Shanghai 200433, China
| | - J B Zhang
- Clinical Research Center of Occupational Diseases, Shanghai Pulmonary Hospital, Shanghai 200433, China
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13
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Elrys AS, Chen Z, Wang J, Uwiragiye Y, Helmy AM, Desoky ESM, Cheng Y, Zhang JB, Cai ZC, Müller C. Global patterns of soil gross immobilization of ammonium and nitrate in terrestrial ecosystems. Glob Chang Biol 2022; 28:4472-4488. [PMID: 35445472 DOI: 10.1111/gcb.16202] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [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: 10/15/2021] [Revised: 03/31/2022] [Accepted: 04/13/2022] [Indexed: 06/14/2023]
Abstract
Microbial nitrogen (N) immobilization, which typically results in soil N retention but based on the balance of gross N immobilization over gross N production, affects the fate of the anthropogenic reactive N. However, global patterns and drivers of soil gross immobilization of ammonium (INH4 ) and nitrate (INO3 ) are still only tentatively known. Here, we provide a comprehensive analysis considering gross N production rates, soil properties, and climate and their interactions for a deeper understanding of the patterns and drivers of INH4 and INO3 . By compiling and analyzing 1966 observations from 274 15 N-labelled studies, we found a global average of INH4 and INO3 of 7.41 ± 0.72 and 2.03 ± 0.30 mg N kg-1 day-1 with a ratio of INO3 to INH4 (INO3 :INH4 ) of 0.79 ± 0.11. Soil INH4 and INO3 increased with increasing soil gross N mineralization (GNM) and nitrification (GN), microbial biomass, organic carbon, and total N and decreasing soil bulk density. Our analysis revealed that GNM and GN were the main stimulators for INH4 and INO3 , respectively. The structural equation modeling showed that higher soil microbial biomass, total N, pH, and precipitation stimulate INH4 and INO3 through enhancing GNM and GN. However, higher temperature and soil bulk density suppress INH4 and INO3 by reducing microbial biomass and total N. Soil INH4 varied with terrestrial ecosystems, being greater in grasslands and forests, which have higher rates of GNM, than in croplands. The highest INO3 :INH4 was observed in croplands, which had higher rates of GN. The global average of GN to INH4 was 2.86 ± 0.31, manifesting a high potential risk of N loss. We highlight that anthropogenic activities that influence soil properties and gross N production rates likely interact with future climate changes and land uses to affect soil N immobilization and, eventually, the fate of the anthropogenic reactive N.
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Affiliation(s)
- Ahmed S Elrys
- School of Geography, Nanjing Normal University, Nanjing, China
- Soil Science Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
| | - Zhaoxiong Chen
- School of Geography, Nanjing Normal University, Nanjing, China
| | - Jing Wang
- College of Forestry, Nanjing Forestry University, Nanjing, China
| | - Yves Uwiragiye
- College of Natural Resources and Environment, Northwest A&F University, Yangling, China
- Department of Agriculture, Faculty of Agriculture, Environmental Management and Renewable Energy, University of Technology and Arts of Byumba, Byumba, Rwanda
| | - Ayman M Helmy
- Soil Science Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
| | - El-Sayed M Desoky
- Botany Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
| | - Yi Cheng
- School of Geography, Nanjing Normal University, Nanjing, China
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China
- Jiangsu Engineering Research Center for Soil Utilization & Sustainable Agriculture, Nanjing, China
| | - Jin-Bo Zhang
- School of Geography, Nanjing Normal University, Nanjing, China
| | - Zu-Cong Cai
- School of Geography, Nanjing Normal University, Nanjing, China
| | - Christoph Müller
- Institute of Plant Ecology, Justus Liebig University Giessen, Giessen, Germany
- School of Biology and Environmental Science and Earth Institute, University College Dublin, Dublin, Ireland
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14
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Kuang L, Zhang B, Sun F, Zhang JB. [The characteristics of vaginal microbiota and its correlation with cervical cancer]. Zhonghua Fu Chan Ke Za Zhi 2022; 57:156-160. [PMID: 35184476 DOI: 10.3760/cma.j.cn112141-20211112-00664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
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15
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Elrys AS, Wang J, Metwally MAS, Cheng Y, Zhang JB, Cai ZC, Chang SX, Müller C. Global gross nitrification rates are dominantly driven by soil carbon-to-nitrogen stoichiometry and total nitrogen. Glob Chang Biol 2021; 27:6512-6524. [PMID: 34510656 DOI: 10.1111/gcb.15883] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [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: 07/05/2021] [Revised: 09/07/2021] [Accepted: 09/09/2021] [Indexed: 06/13/2023]
Abstract
Soil gross nitrification (GN) is a critical process in the global nitrogen (N) cycle that results in the formation of nitrate through microbial oxidation of ammonium or organic N, and can both increase N availability to plants and nitrous oxide emissions. Soil GN is thought to be mainly controlled by soil characteristics and the climate, but a comprehensive analysis taking into account the climate, soil characteristics, including microbial characteristics, and their interactions to better understand the direct and indirect controlling factors of GN rates globally is lacking. Using a global meta-analysis based on 901 observations from 330 15 N-labeled studies, we show that GN differs significantly among ecosystem types, with the highest rates found in croplands, in association with higher pH which stimulates nitrifying bacteria activities. Autotrophic and heterotrophic nitrifications contribute 63% and 37%, respectively, to global GN. Soil GN increases significantly with soil total N, microbial biomass, and soil pH, but decreases significantly with soil carbon (C) to N ratio (C:N). Structural equation modeling suggested that GN is mainly controlled by C:N and soil total N. Microbial biomass and pH are also important factors controlling GN and their effects are similar. Precipitation and temperature affect GN by altering C:N and/or soil total N. Soil total N and temperature drive heterotrophic nitrification, whereas C:N and pH drive autotrophic nitrification. Moreover, GN is positively related to nitrous oxide and carbon dioxide emissions. This synthesis suggests that changes in soil C:N, soil total N, microbial population size, and/or soil pH due to anthropogenic activities may influence GN, which will affect nitrate accumulation and gaseous emissions of soils under global climate and land-use changes.
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Affiliation(s)
- Ahmed S Elrys
- School of Geography, Nanjing Normal University, Nanjing, China
- Soil Science Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
| | - Jing Wang
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
| | - Mohamed A S Metwally
- Soil Science Department, Faculty of Agriculture, Zagazig University, Zagazig, Egypt
| | - Yi Cheng
- School of Geography, Nanjing Normal University, Nanjing, China
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China
- Jiangsu Engineering Research Center for Soil Utilization & Sustainable Agriculture, Nanjing, China
| | - Jin-Bo Zhang
- School of Geography, Nanjing Normal University, Nanjing, China
| | - Zu-Cong Cai
- School of Geography, Nanjing Normal University, Nanjing, China
| | - Scott X Chang
- Department of Renewable Resources, University of Alberta, Edmonton, Alberta, Canada
| | - Christoph Müller
- Institute of Plant Ecology (IFZ), Justus Liebig University Giessen, Giessen, Germany
- School of Biology and Environmental Science and Earth Institute, University College Dublin, Dublin, Ireland
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16
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Chen YW, Zhang JB. [Emphasizing the mutual effects of metabolic-associated fatty liver disease with infectious disease]. Zhonghua Gan Zang Bing Za Zhi 2021; 29:732-735. [PMID: 34517451 DOI: 10.3760/cma.j.cn501113-20210708-00328] [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
Metabolic-associated fatty liver disease is a hepatic manifestation of systemic metabolic disorders, with a high prevalence. Moreover, it often coexists and evidently interacts with liver injury caused by a variety of viral infections in association with specific bacterial or fungal infectious diseases, and thus unitedly affect the intra-and extrahepatic diseases clinical outcome. The mutual effects, natural process, and extrahepatic manifestations of the two diseases combined coexistence are now elaborated here.
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Affiliation(s)
- Y W Chen
- Department of Gastroenterology, Huadong Hospital, Fudan University; Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200040, China
| | - J B Zhang
- Department of Gastroenterology, Huadong Hospital, Fudan University; Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200040, China
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17
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Fan JY, Li SL, Jiang M, Tao B, Cao RH, Zhang JB, Tian L, Liu JW, Wang HB, Cao F. [Biocompatibility of extracellular matrix hydrogel with human iPSCs differentiated cardiomyocytes]. Zhonghua Xin Xue Guan Bing Za Zhi 2021; 49:487-495. [PMID: 34034383 DOI: 10.3760/cma.j.cn112148-20200909-00721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To observe the biocompatibility of porcine omental derived extracellular matrix (ECM) hydrogel with human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) and the feasibility of ECM hydrogel as a delivery vector of cell transplantation. Methods: A series of chemical, physical and enzymatic methods were applied to acellularize the porcine omentum. Subsequently, the extracted ECM was prepared into thermosensitive hydrogel. The biochemical composition of the hydrogel was identified by histological staining. The microstructure was observed by scanning electron microscopy. The hydrogel was then injected into the myocardium of mice to observe its in situ gelation ability. Differentiation of human induced pluripotent stem cells into cardiomyocytes was achieved by small molecule induction, and then the obtained hiPSC-CMs were cultured. hiPSC-CMs cultured onto the prepared hydrogel were defined as the hydrogel group, while conventionally cultured hiPSC-CMs were defined as the control group. Cardiomyocyte viability and growth patterns were detected using live/dead staining, CCK-8 and phalloidin staining. Immunofluorescence staining and Western blot of cardiomyocytes were used to determine the survival and phenotypic maintenance markers of cardiomyocytes in materials. Results: The results of HE staining, oil red O staining and DAPI fluorescence staining showed that there was no significant cell debris, nucleus and lipid residue in the prepared ECM hydrogel. The Sirius red staining and Alcian blue staining showed that the hydrogel retained collagen and glycolaminoglycan, which were the main components of ECM. The prepared hydrogel behaves as a viscous liquid at 4 ℃ and as a gel state at 37 ℃. Scanning electron microscope results showed that the microstructure of the hydrogel was composed of irregular fibers and pores of different sizes. Under the guidance of ultrasound, the prepared ECM hydrogel could be successfully injected into the myocardium of mice. Immediately after the injection, the hyperechoic signal could be observed under ultrasound, suggesting that the hydrogel remained in the myocardium. HE staining of myocardial tissue evidenced that there was lump of gel in the injection area. The differentiated hiPSC-CMs were co-cultured with the prepared ECM hydrogel, and the results of live/dead staining showed that most of the hiPSC-CMs in the hydrogel group and the control group were alive, dead cells were scanty. The results of CCK-8 test showed that the absorbance values of the two groups were similar (P>0.05). The results of phalloidin staining showed that hiPSC-CMs could extend normally when co-cultured with ECM hydrogel. The cell morphology of the hydrogel group was similar with that of the control group, and there was no statistically significant difference in the F-actin coverage area per cell between the two groups (P>0.05). Immunofluorescence staining of cardiomyocyte markers showed that there was no significant difference in the coverage area of α-actinin and connexin-43 (Cx-43) per field between the hydrogel group and the control group (both P>0.05), the quantitative results of DAPI staining showed that there was no statistically significant difference in the number of cells between the two groups (P>0.05). Meanwhile, the results of Western blot showed that the expression levels of α-actinin and Cx-43 in cardiomyocytes in the hydrogel group were similar as those in the control group (both P>0.05). Conclusions: These results show that preparation of the ECM hydrogel from porcine omentum is successful. The hydrogel has good biocompatibility and no obvious cytotoxicity. Besides, the hydrogel can support the survival of hiPSC-CMs in vitro and maintain its phenotype. These properties make it a promising injectable cardiac tissue engineering material.
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Affiliation(s)
- J Y Fan
- Department of Medicine, Qingdao University, Qingdao 266071, China Second Medical Center, PLA General Hospital, Beijing 100853, China National Clinical Medical Research Center for Geriatric Diseases, PLA General Hospital, Beijing 100853, China
| | - S L Li
- Second Medical Center, PLA General Hospital, Beijing 100853, China
| | - M Jiang
- Second Medical Center, PLA General Hospital, Beijing 100853, China
| | - B Tao
- Second Medical Center, PLA General Hospital, Beijing 100853, China
| | - R H Cao
- Second Medical Center, PLA General Hospital, Beijing 100853, China
| | - J B Zhang
- Second Medical Center, PLA General Hospital, Beijing 100853, China
| | - L Tian
- Second Medical Center, PLA General Hospital, Beijing 100853, China
| | - J W Liu
- Second Medical Center, PLA General Hospital, Beijing 100853, China
| | - H B Wang
- College of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing 100044, China
| | - F Cao
- Department of Medicine, Qingdao University, Qingdao 266071, China Second Medical Center, PLA General Hospital, Beijing 100853, China National Clinical Medical Research Center for Geriatric Diseases, PLA General Hospital, Beijing 100853, China
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18
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Zhang ZS, Tang L, Zhang JB, Sun DY, Liu J. [Study of cytokines in peripheral blood and lung of rats exposed to hard metal dust]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2021; 39:262-265. [PMID: 33910284 DOI: 10.3760/cma.j.cn121094-20200616-00344] [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 study the dynamic changes of cytokines in bronchoalveolar lavage fluid (BALF) and serum of hard metal lung disease (HMLDR) rats. Methods: In March 2019, the rats were randomly divided into 6 groups, each group included 8 rats: control (C) group include 3 groups, hard metal (HM) group include 3 groups. 10 mg HM were administered in HM group by using the pulmonary endotracheal tube. After 4, 8 and 12 week, the BALF and serum were collected for the enzyme-linked immunosorbent assay (ELISA) of matrix metalloproteinase-1 (MMP-1) , tissue inhibitor of metalloproteinase-1 (TIMP-1) and tumor necrosis factor-alpha (TNF-α) . Results: There was no abnormality in behavior, diet and fur of rats in C and HM group at each exposure time. There was no significant difference in body weight between the two groups of rats (P>0.05) . Compared with the C group, the expression of MMP-1 in BALF of rats in HM group were significantly higher in all stages (4, 8 and 12 weeks after exposure) (P<0.05) , the expression of TIMP-1 in BALF of rats in HM group were significantly higher in 8 and 12 weeks after exposure (P<0.05) . However, there was no significant difference in serum MMP-1 and TIMP-1 levels between the two groups in each stage (P>0.05) . There was no significant difference in TNF-α. level in BALF and serum between C and HM group in all stages (P>0.05) . Conclusion: Expression of MMP-1 and TIMP-1 in BALF have reference value in the HMLD auxiliary diagnosis.
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Affiliation(s)
- Z S Zhang
- Department of Occupational Disease, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - L Tang
- Department of Occupational Disease, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - J B Zhang
- Department of Occupational Disease, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - D Y Sun
- Department of Occupational Disease, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - J Liu
- Department of Occupational Disease, Suzhou Fifth People's Hospital, Suzhou 215137, China
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Ran T, Yuan L, Zhang JB. Scene perception based visual navigation of mobile robot in indoor environment. ISA Trans 2021; 109:389-400. [PMID: 33069374 PMCID: PMC7550175 DOI: 10.1016/j.isatra.2020.10.023] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 07/28/2020] [Accepted: 10/04/2020] [Indexed: 06/11/2023]
Abstract
Only vision-based navigation is the key of cost reduction and widespread application of indoor mobile robot. Consider the unpredictable nature of artificial environments, deep learning techniques can be used to perform navigation with its strong ability to abstract image features. In this paper, we proposed a low-cost way of only vision-based perception to realize indoor mobile robot navigation, converting the problem of visual navigation to scene classification. Existing related research based on deep scene classification network has lower accuracy and brings more computational burden. Additionally, the navigation system has not yet been fully assessed in the previous work. Therefore, we designed a shallow convolutional neural network (CNN) with higher scene classification accuracy and efficiency to process images captured by a monocular camera. Besides, we proposed an adaptive weighted control (AWC) algorithm and combined with regular control (RC) to improve the robot's motion performance. We demonstrated the capability and robustness of the proposed navigation method by performing extensive experiments in both static and dynamic unknown environments. The qualitative and quantitative results showed that the system performs better compared to previous related work in unknown environments.
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Affiliation(s)
- T Ran
- School of Mechanical Engineering, Xinjiang University, Urumqi, China.
| | - L Yuan
- School of Mechanical Engineering, Xinjiang University, Urumqi, China; Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China.
| | - J B Zhang
- School of Mechanical Engineering, Xinjiang University, Urumqi, China.
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Elrys AS, Desoky ESM, Alnaimy MA, Zhang H, Zhang JB, Cai ZC, Cheng Y. The food nitrogen footprint for African countries under fertilized and unfertilized farms. J Environ Manage 2021; 279:111599. [PMID: 33189421 DOI: 10.1016/j.jenvman.2020.111599] [Citation(s) in RCA: 3] [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: 07/11/2020] [Revised: 09/06/2020] [Accepted: 10/26/2020] [Indexed: 06/11/2023]
Abstract
Although nitrogen (N) is a limiting factor for food production (FP) in Africa, and African food security is seriously threatened by the phenomenon of soil N depletion, there is a dearth of information that shows the points to focus on throughout the chain of FP and food consumption (FC) in all African countries to minimize N loss while securing food N supply. Food N footprint (NF) is an indicator for tracing the losses of reactive N (Nr) with regard to the FP and FC chain. This is the first study to calculate the food NF for all African countries under fertilized and unfertilized farms, by calculating two sets of virtual N factors (VNFs; kg Nr released to the environment kg-1 N in consumed product): one for unfertilized farms (the unfertilized scenario) and one for fertilized farms (the fertilized scenario). The fertilized and unfertilized VNFs were utilized to calculate a weighted average set of VNFs (the combined scenario). From the percentage of farms that utilize N fertilizer, and the N percentage in production that comes from soil depletion, the proportion used for the combined scenario was determined. Soil N depletion factors (SNDFs; kg N taken from the unfertilized soil kg-1 N in food consumed) were also computed to identify the quantity of N extracted from the soil for food production. We have also provided the changes in N inputs, N outputs, and N use efficiency (NUE) for North Africa and Sub-Saharan Africa (SSA) during the last 57 years. The average total N input to croplands increased from 24 and 19 kg N ha-1 yr-1 in 1961-1965 to 100 and 42 kg N ha-1 yr-1 in 2010-2017 for North Africa and SSA, respectively. The NUE declined from 109% and 67% (1961-1965) to 47% and 63% (2010-2017) for North Africa and SSA, respectively. The total average per-capita food NF was 11 and 5.8 kg N cap-1 yr-1 in unfertilized farms; 21 and 14 kg N cap-1 yr-1 in fertilized farms; and 19 and 7.5 kg N cap-1 yr-1 under the combined scenario for North Africa and SSA, respectively. Vegetable-fruit and beef have the highest SDNFs in Africa. FP in Africa contributes approximately 70% of the total food NF. Therefore, if possible, the best way for Africans to reduce soil N depletion and N emissions is to encourage the production and consumption of livestock and crops products with less VNF and SNDF. However, African people do not have this luxury of choice because of poverty and ignorance. Therefore, African policy-makers must adopt integrated approaches that provide effective tools to control the production of animals and crops in conjunction with the improvement of NUE. Trying to completely change the African agricultural system is impossible, but strategies must be developed to reduce soil depletion in a gradual way, as well as a shift towards low-VNF foods.
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Affiliation(s)
- Ahmed S Elrys
- School of Geography, Nanjing Normal University, Nanjing 210023, China; Soil Science Department, Faculty of Agriculture, Zagazig University, 44511, Zagazig, Egypt.
| | - El-Sayed M Desoky
- Agriculture Botany Department, Faculty of Agriculture, Zagazig University, 44511, Zagazig, Egypt
| | - Manal A Alnaimy
- Soil Science Department, Faculty of Agriculture, Zagazig University, 44511, Zagazig, Egypt
| | - Huimin Zhang
- School of Geography, Nanjing Normal University, Nanjing 210023, China
| | - Jin-Bo Zhang
- School of Geography, Nanjing Normal University, Nanjing 210023, China
| | - Zu-Cong Cai
- School of Geography, Nanjing Normal University, Nanjing 210023, China
| | - Yi Cheng
- School of Geography, Nanjing Normal University, Nanjing 210023, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China; Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing 210023, China.
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Elrys AS, Desoky ESM, Ali A, Zhang JB, Cai ZC, Cheng Y. Sub-Saharan Africa's food nitrogen and phosphorus footprints: A scenario analysis for 2050. Sci Total Environ 2021; 752:141964. [PMID: 32892055 DOI: 10.1016/j.scitotenv.2020.141964] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 08/22/2020] [Accepted: 08/23/2020] [Indexed: 06/11/2023]
Abstract
The current study presents the first nitrogen (N) and phosphorus (P) footprints calculator for Sub-Saharan Africa during 1961-2017 using an adjusted N-Calculator model, by calculating two sets of virtual N factors (VNFs) or virtual P factors (VPFs): one for fertilized farms and one for unfertilized farms. We furthermore calculated the future food footprints of N (NF) and P (PF) under five scenarios include: 1) business as usual [BAU], 2) achieve an equitable diet (EqD) while the plant N and P uptake and all other food losses would be constant at 2017 level [S1], 3) follow the EqD without any changes in plant N and P uptake, but the current ratio of other food losses would increase by 50% [S2], 4) follow the EqD with a 5% less in plant N and P uptake than the current ratio, and the current ratio of other food losses would increase by 50% [S3], and 5) follow the EqD with a 10% greater in plant N and P uptake than the current ratio, while the current ratio of other food losses would decrease by 50% [S4]. NF (kg N cap-1 yr-1) and PF (kg P cap-1 yr-1) increased from 6.7 and 1.1 to 8.3 and 1.5 during 1961-2017, respectively. The national NF (Tg N yr-1) and PF (Tg P yr-1) increased from 1.6 and 0.26 to 7.7 and 1.4, respectively. In 2050, NF would be 9.7, 21.7, 24.1, 27.7, and 15.5 kg N cap-1 yr-1 for the BAU, S1, S2, S3, and S4 scenarios, respectively. While, PF would be 1.8, 5.1, 5.6, 7.3, and 3.0 kg P cap-1 yr-1, respectively. S4 scenario results in much less NF and PF. We suggest applying the S4 scenario with a change of dietary style by reducing the foods consumption with high VNFs and VPFs by 2050.
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Affiliation(s)
- Ahmed S Elrys
- School of Geography, Nanjing Normal University, Nanjing 210023, China; Soil Science Department, Faculty of Agriculture, Zagazig University, 44511 Zagazig, Egypt
| | - El-Sayed M Desoky
- Agriculture Botany Department, Faculty of Agriculture, Zagazig University, 44511 Zagazig, Egypt
| | - Ahmad Ali
- School of Geography, Nanjing Normal University, Nanjing 210023, China
| | - Jin-Bo Zhang
- School of Geography, Nanjing Normal University, Nanjing 210023, China
| | - Zu-Cong Cai
- School of Geography, Nanjing Normal University, Nanjing 210023, China
| | - Yi Cheng
- School of Geography, Nanjing Normal University, Nanjing 210023, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China; Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing 210023, China.
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Huang MJ, Zhang JB, Liu J, Sun DY, Chen H. [Analysis of direct economic burden of occupational asthma]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2020; 38:437-440. [PMID: 32629574 DOI: 10.3760/cma.j.cn121094-20200120-00037] [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 direct economic burden of occupational asthma patients and provide economic basis for the government to rationally allocate health resources. Methods: In September 2019, colleted the case data of 53 patients diagnosed with occupational asthma who were hospitalized in our hospital from December 2008 to December 2018, and analyze the impact of gender, age, diagnosis time, ducation level, allergen type to the length of stay, hospitalization cost, medical technology diagnosis and treatment costs, western medicine costs, average daily hospitalization costs and other indicators. Results: The average length of hospitalization for occupational asthma patients was (38.7±8.1) days, and the average hospitalization cost was 14743 yuan, of which medical technology diagnosis and treatment costs, western medicine costs, and comprehensive medical service costs accounted for the top three, 42.5% (331977/781369) , 32.0% (249942/781369) , 19.6% (153268/781369) respectively. Hospitalization days for occupational asthma patients has decreased significantly in 2014-2018 (P<0.05) . There were no significant differences in hospitalization costs, medical technology diagnosis and treatment costs, western medicine costs, and average daily hospitalization costs for occupational asthma patients caused by different allergens (isocyanates, persulfates and phthalic anhydrides) (P>0.05) . Hospitalization days, hospitalization costs, medical technology diagnosis and treatment costs, western medicine costs, and average daily hospitalization costs of patients with moderate occupational asthma were significantly higher than those of mild patients (P<0.05) . Conclusion: Early detection of occupational asthma patients and early intervention can reduce the economic burden on patients and society.
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Affiliation(s)
- M J Huang
- Shanghai Chest Hospital, Chest Hospital Affiliated to Shanghai Jiaotong University, Shanghai 200030, China
| | - J B Zhang
- Shanghai Pulmonary Hospital, Shanghai 200433, China
| | - J Liu
- Suzhou Fifth People's Hospital, Suzhou 215131, China
| | - D Y Sun
- Shanghai Pulmonary Hospital, Shanghai 200433, China
| | - H Chen
- Shanghai Chest Hospital, Chest Hospital Affiliated to Shanghai Jiaotong University, Shanghai 200030, China
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Guo TY, Huang L, Yao W, Du X, Li QQ, Ma ML, Li QF, Liu HL, Zhang JB, Pan ZX. The potential biological functions of circular RNAs during the initiation of atresia in pig follicles. Domest Anim Endocrinol 2020; 72:106401. [PMID: 32278256 DOI: 10.1016/j.domaniend.2019.106401] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [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: 07/02/2019] [Revised: 09/18/2019] [Accepted: 09/29/2019] [Indexed: 11/18/2022]
Abstract
The specific expression profile and function of circular RNAs (circRNAs) in mammalian ovarian follicles, especially during the atresia process, are unclear. In this study, genome-wide deep circRNA sequencing was applied to screen circRNAs in healthy and early atretic antral follicles in pig ovaries. A total of 40,567 distinct circRNAs were identified in follicles, among which 197 circRNAs (108 upregulated and 89 downregulated) were significantly shifted during the early atresia process. Most differentially expressed circRNAs (DECs) lacked protein-coding potential. Annotation analysis of the DECs revealed 162 known host genes, or noncoding RNAs, and 10 intergenic regions. The key pathways in which these host genes are involved include the focal adhesion-PI3K-Akt-mTOR signaling pathway, vascular endothelial growth factor A (VEGFA)-vascular endothelial growth factor receptor 2 signaling pathway and transforming growth factor-beta signaling pathway. Further comparison analysis between host genes of DECs and the differentially expressed linear messenger RNA transcripts revealed the cotranscription of circRNAs and their linear mRNAs in inhibin beta units (INHBA and INHBB), glutathione S-transferase (GSTA1), and VEGFA. In addition, we predicted 196 pairs of potential circRNA-micro RNA (miRNA) interactions among 77 DECs and 101 porcine miRNAs. We have identified 16 functional miRNAs by comparing the 101 miRNAs to the functional miRNAs reported in mammal ovarian follicle atresia and granulosa cell apoptosis studies. Our study adds new knowledge to circRNA distribution profiles in pig ovarian follicles, offers a valuable reference for transcriptomic profiles in the initiation of follicular atresia, highlights warranted circRNAs for further functional investigation, and provides possible biomarkers for ovarian dysfunctions.
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Affiliation(s)
- T Y Guo
- College of Animal Science and Technology, Nanjing Agriculture University, Nanjing, Jiangsu, P. R. China 210095
| | - L Huang
- College of Animal Science and Technology, Nanjing Agriculture University, Nanjing, Jiangsu, P. R. China 210095
| | - W Yao
- College of Animal Science and Technology, Nanjing Agriculture University, Nanjing, Jiangsu, P. R. China 210095
| | - X Du
- College of Animal Science and Technology, Nanjing Agriculture University, Nanjing, Jiangsu, P. R. China 210095
| | - Q Q Li
- College of Animal Science and Technology, Nanjing Agriculture University, Nanjing, Jiangsu, P. R. China 210095
| | - M L Ma
- College of Animal Science and Technology, Nanjing Agriculture University, Nanjing, Jiangsu, P. R. China 210095
| | - Q F Li
- College of Animal Science and Technology, Nanjing Agriculture University, Nanjing, Jiangsu, P. R. China 210095
| | - H L Liu
- College of Animal Science and Technology, Nanjing Agriculture University, Nanjing, Jiangsu, P. R. China 210095
| | - J B Zhang
- College of Animal Science and Technology, Nanjing Agriculture University, Nanjing, Jiangsu, P. R. China 210095
| | - Z X Pan
- College of Animal Science and Technology, Nanjing Agriculture University, Nanjing, Jiangsu, P. R. China 210095; National Experimental Teaching Demonstration Center of Animal Science, Nanjing Agriculture University, Nanjing, Jiangsu, P. R. China 210095.
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Zhang JB, Zhu JQ, Cao LX, Jin XH, Chen LL, Song YK, Zhou SF, Ma JH, Fu H, Xu JZ, Dong MP, Yan LC, Wu XD, Wang HP, Zhou JY, Wang YQ. Use of the modified Glasgow Coma Scale score to guide sequential invasive-noninvasive mechanical ventilation weaning in patients with AECOPD and respiratory failure. Exp Ther Med 2020; 20:1441-1446. [PMID: 32742377 PMCID: PMC7388266 DOI: 10.3892/etm.2020.8884] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [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: 12/16/2019] [Accepted: 05/07/2020] [Indexed: 12/16/2022] Open
Abstract
Sequential invasive-noninvasive ventilation (NIV) improves the outcomes of patients with respiratory failure caused by acute exacerbation of chronic obstructive pulmonary disease (AECOPD); however, there is no clear consensus on the optimal timing of the switch to sequential invasive-NIV in these patients. In the present study, a potential role for the modified Glasgow Coma Scale (GCS) score to guide sequential weaning was investigated. Patients with AECOPD and respiratory failure were prospectively recruited from three study centers (Wenling Hospital Affiliated to Wenzhou Medical University, the First Affiliated Hospital of Wenzhou Medical University and Changsha Central Hospital) between January 1st 2016 and December 31st 2018. Patients were randomly assigned to group A and B, with the switching point for sequential weaning strategy in the two groups being a modified GCS score ≥13 and 10 points, respectively. Each group included 240 patients. Baseline demographic characteristics were comparable in the two groups. The duration of invasive mechanical ventilation (IMV) in group A was significantly shorter than that in group B. However, there were no significant between-group differences with respect to the incidence of re-intubation, ventilator-associated pneumonia, in-hospital mortality or the length of hospital stay. Use of a modified GCS score ≥13 as the switching point for sequential invasive-NIV may help decrease the duration of IMV in patients with AECOPD and respiratory failure.
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Affiliation(s)
- Jin-Bo Zhang
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, P.R. China
| | - Jin-Qiang Zhu
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, P.R. China
| | - Lie-Xiang Cao
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, P.R. China
| | - Xiao-Hong Jin
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, P.R. China
| | - Li-Li Chen
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, P.R. China
| | - Yu-Kang Song
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, P.R. China
| | - Shi-Fang Zhou
- Department of Emergency Care, Changsha Central Hospital, Changsha, Hunan 410004, P.R. China
| | - Ji-Hong Ma
- Intensive Care Unit, First Affiliated Hospital of Wenzhou Medical University, Wenling, Zhejiang 325000, P.R. China
| | - Hui Fu
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, P.R. China
| | - Jin-Zhong Xu
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, P.R. China
| | - Mei-Ping Dong
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, P.R. China
| | - Lai-Chao Yan
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, P.R. China
| | - Xian-Dan Wu
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, P.R. China
| | - Hui-Ping Wang
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, P.R. China
| | - Jun-Yang Zhou
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, P.R. China
| | - Yan-Qiu Wang
- Emergency Intensive Care Unit, Wenling Hospital Affiliated to Wenzhou Medical University, The First People's Hospital of Wenling, Wenling, Zhejiang 317500, P.R. China
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Lü LX, Song L, Liu ZL, Zhang JB, Jin GZ. [Response of Soil Enzyme Activity and Chemical Properties to Nitrogen Addition in a Korean Pine Plantation]. Huan Jing Ke Xue 2020; 41:1960-1967. [PMID: 32608705 DOI: 10.13227/j.hjkx.201906168] [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: 11/22/2022]
Abstract
Soil enzymes participate in numerous complex biochemical processes that take place in the soil and play an important role in the material circulation of terrestrial ecosystems. To explore the response of soil enzyme activities and chemical properties to nitrogen deposition in temperate forests, this study analyzed four soil enzyme activities based on the nitrogen addition experiment plot of Korean pine (Pinus koraiensis) plantation, which was located in the Liangshui National Natural Reserve, Heilongjiang Province. The results showed that the activities of N-acetyl-glucosidase (NAG) and alkaline phosphatase (AKP) increased significantly with increasing nitrogen application concentration. The activity of beta-glucosidase (BG) and acid phosphatase (ACP) was not significantly different among different nitrogen application treatments. The contents of total carbon, total nitrogen, total phosphorus, and available nitrogen and four enzyme activity in the upper soil (0-10 cm) under the same nitrogen application level were significantly higher than those in the lower soil (10-20 cm), but the pH values were not significantly different. Total carbon has an extremely significant positive correlation with NAG, BG, AKP, and ACP. Total nitrogen has an obvious or extremely significant positive correlation with BG, NAG, and AKP as well as ACP. The available nitrogen has an obvious and highly significant positive correlation with NAG and AKP. The total phosphorus has an obvious and extremely significant positive correlation with ACP and AKP, respectively. The nitrogen application level and the soil layer had different effects on soil enzyme activity and soil chemical properties. Long-term large input of nitrogen can directly or indirectly change soil chemical properties and affect soil enzyme activity.
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Affiliation(s)
- Lai-Xin Lü
- Center for Ecological Research, Northeast Forestry University, Harbin 150040, China
| | - Lei Song
- Center for Ecological Research, Northeast Forestry University, Harbin 150040, China
| | - Zhi-Li Liu
- Center for Ecological Research, Northeast Forestry University, Harbin 150040, China.,Key Laboratory of Sustainable Forest Ecosystem Management, Ministry of Education, Northeast Forestry University, Harbin 150040, China
| | - Jin-Bo Zhang
- School of Geography Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Guang-Ze Jin
- Center for Ecological Research, Northeast Forestry University, Harbin 150040, China.,Key Laboratory of Sustainable Forest Ecosystem Management, Ministry of Education, Northeast Forestry University, Harbin 150040, China
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Zhang JB, Liu J, Ma GF, Sun DY. [Characteristics of auditory brainstom response and auditory steady state evoked responses in noise-induced hearing loss population]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2020; 37:888-892. [PMID: 31937025 DOI: 10.3760/cma.j.issn.1001-9391.2019.12.002] [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 explore the characteristics of auditory steady state evoked responses (ASSR) and auditory brainstem response (ABR) in noise-induced hearing loss population and the relationship between the response threshold of corresponding frequency and pure tone audiometry (PTA) . Methods: Noise-induced hearing loss patients who completed subjective and objective audiometry in our hospital from October 2014 to October 2018 were collected. The results of PTA, ABR, ASSR and the correlation between subjective and objective audiometry were discussed. Results: A total of 381 ears of 193 patients were enrolled. The difference of 0.5, 1.0, 2.0 and 4.0 kHz between ASSR threshold and PTA was 5.9, 6.9, 11.8 and 1.8 dB, respectively. The correlation coefficients were 0.638, 0.680, 0.657 and 0.608. The difference of 1.0, 2.0, 3.0 and 4.0 kHz between ABR threshold and PTA was 44.2, 35.0, 19.0 and 2.0 dB. With the increase of frequency, the threshold difference between ABRt V wave and PTA decreased gradually. Conclusion: ASSR and ABR response thresholds are valuable in subjective assessment on noise-induced hearing loss. The thresholds of ASSR and ABR at 4 kHz are close to those of PTA.
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Affiliation(s)
- J B Zhang
- Department of Toxicology, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
| | - J Liu
- Fifth People's Hospital of Suzhou, Suzhou 215137, China
| | - G F Ma
- Department of Toxicology, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
| | - D Y Sun
- Department of Toxicology, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
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Zhang Y, Zhang LY, Huang F, Zhang JB, Lou M, Sun B, Zhu K, Zheng GX, Tong ZB. [Computational investigation of Artemisia pollen deposition in realistic nasal cavities of residents in northwest China]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2019; 54:741-747. [PMID: 31606986 DOI: 10.3760/cma.j.issn.1673-0860.2019.10.007] [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 investigate the deposition rate of Artemisia pollen in different nasal cavity regions and its influence factors in residents of northwest China. Methods: Thirty healthy adults from northwest China were enrolled. The computational fluid dynamics (CFD) and discrete phase model (DPM) were used for numerical simulation of nasal structures. The pollen deposition fraction in each anatomical part was counted and the effects of pollen density and breathing rate on deposition were analyzed. SPSS 19.0 software was used for statistical analysis. Results: The hottest deposition parts of Artemisia pollen were nasal septum (30.70%±12.27%), vestibule (27.45%±8.21%), middle turbinate area (13.59%±8.98%) and nasopharynx (7.14%±5.90%). When the inspiratory flow rate increased to 30 L/min, the deposition rates of pollen in nasal vestibule and nasal septum were significantly higher than that at the rate of 15 L/min (43.20%±11.14% vs 27.45%±8.21%, 51.48%±9.77% vs 30.70%±12.27%, t value was -8.126,-5.264, respectively, all P<0.05), which indicated that with the increase of the inspiratory flow rate, the deposition hotspot moved forward. Compared with the wet Artemisia pollen, the deposition rate of the dry pollen in nasal vestibule and nasal septum decreased significantly (16.55%±4.33% vs 27.45%±8.21%, 7.09%±3.69% vs 30.70%±12.27%, t value was 8.669, 9.173, respectively, all P<0.05). The escape rate at outlet increased from 17.00%±9.57% to 43.48%±13.43% (t=-9.282, P<0.05). Conclusions: The deposition of Artemisia pollen in nasal cavity is highly concentrated. The inhalation velocity and the dry-wet degree of pollen are the main determinants of the deposition site.
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Affiliation(s)
- Y Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - L Y Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - F Huang
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - J B Zhang
- Department of Medical Imaging, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - M Lou
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - B Sun
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - K Zhu
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - G X Zheng
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Z B Tong
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
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Zhao D, Li YR, Qu Y, Xian JF, Cao X, Zhang JB, Ye JY. [The effect of genioglossus activity to velopharyngeal surgery in patient with obstructive sleep apnea hypopnea syndrome]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2019; 54:421-426. [PMID: 31262106 DOI: 10.3760/cma.j.issn.1673-0860.2019.06.005] [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 investigate the effect of genioglossus (GG) activation at sleep onset on the outcome of velopharyngeal surgery in obstructive sleep apnea hypopnea syndrome (OSAHS) patients. Methods: Thirty-five patients between April 2014 and February 2015 in Beijing Tongren Hospital with OSAHS underwent overnight polysomnography with synchronous genioglossus electromyography (GGEMG) using intraoral electrodes. The upper airway (UA) anatomy was evaluated by three-dimensional computer tomography (3D-CT) in OSAHS patients. Then, all of the patients received velopharyngeal surgery, including revised uvulopalatopharyngoplasty (UPPP) with uvula preservation or UPPP combined transpalatal advancement pharyngoplasty. All patients were followed-up using polysomnography 3-6 months after surgery. T-test or Wilcoxon test were used to compare the variables between groups, and Spearman correlation analysis was used to test the correlation between parameters. Results: Thirty-five patients received velopharyngeal surgery. Twenty-two patients (62.86%) were responders, and 13 patients (37.14%) were non-responders. Responders had a higher mean GGEMG during sleep onset (15.31±3.74 vs. 9.92±2.93, t=4.504, P=0.001). The decreased AHI was significantly positively related to the sleep onset mean GGEMG (r=0.541, P=0.004) and the change in GGEMG (r=0.422, P=0.028). The decreased AHI was significantly negatively related to the minimal cross sectional airway area (mCSA,ρ=0.629,P=0.000) and the minimal lateral airway dimension (mLAT, ρ=0.484, P=0.009) at velopharynx. Conclusions: The outcome of velopharyngeal surgery was affected by the mean GGEMG during sleep onset. We speculated that the patient with higher GGEMG at sleep onset and narrower velopharynx were more suitable candidates for velopharyngeal surgery.
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Affiliation(s)
- D Zhao
- Department of Otorhinolaryngology, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China
| | - Y R Li
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Y Qu
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tsinghua Chang Gung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China
| | - J F Xian
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - X Cao
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tsinghua Chang Gung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China
| | - J B Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, Peking University First Hospital, Beijng 100034, China
| | - J Y Ye
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tsinghua Chang Gung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China
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Xiao SF, Du XW, Zhang JB. [Perioperative airway management of OSA patients]. Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2019; 33:295-297. [PMID: 30970396 DOI: 10.13201/j.issn.1001-1781.2019.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Indexed: 11/12/2022]
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Shi YZ, Xiong S, Zhang Y, Chin LK, Chen YY, Zhang JB, Zhang TH, Ser W, Larsson A, Lim SH, Wu JH, Chen TN, Yang ZC, Hao YL, Liedberg B, Yap PH, Wang K, Tsai DP, Qiu CW, Liu AQ. Author Correction: Sculpting nanoparticle dynamics for single-bacteria-level screening and direct binding-efficiency measurement. Nat Commun 2019; 10:1227. [PMID: 30862795 PMCID: PMC6414671 DOI: 10.1038/s41467-019-09171-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Affiliation(s)
- Y Z Shi
- School of Mechanical Engineering, Xi'an Jiaotong University, 710049, Xi'an, China.,School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - S Xiong
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
| | - Y Zhang
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - L K Chin
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - Y-Y Chen
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - J B Zhang
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - T H Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore
| | - W Ser
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - A Larsson
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - S H Lim
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - J H Wu
- School of Mechanical Engineering, Xi'an Jiaotong University, 710049, Xi'an, China
| | - T N Chen
- School of Mechanical Engineering, Xi'an Jiaotong University, 710049, Xi'an, China
| | - Z C Yang
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Institute of Microelectronics, Peking University, 100871, Beijing, China
| | - Y L Hao
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Institute of Microelectronics, Peking University, 100871, Beijing, China
| | - B Liedberg
- Centre for Biomimetic Sensor Science, School of Materials Science and Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - P H Yap
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore
| | - K Wang
- College of Biomedical Engineering, Taipei Medical University, Taipei, 11031, Taiwan.,Nanyang Environment & Water Research Institute, Nanyang Technological University, Singapore, 637141, Singapore
| | - D P Tsai
- Department of Physics, National Taiwan University, Taipei, 10617, Taiwan
| | - C-W Qiu
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore. .,SZU-NUS Collaborative Innovation Center for Optoelectronic Science and Technology, Shenzhen University, 518060, Shenzhen, China.
| | - A Q Liu
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore. .,National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Institute of Microelectronics, Peking University, 100871, Beijing, China.
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Adamczyk L, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Alford J, Anson CD, Aparin A, Arkhipkin D, Aschenauer EC, Averichev GS, Banerjee A, Beavis DR, Bellwied R, Bhasin A, Bhati AK, Bhattarai P, Bichsel H, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Borowski W, Bouchet J, Brandin AV, Brovko SG, Bültmann S, Bunzarov I, Burton TP, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Cendejas R, Cervantes MC, Chaloupka P, Chang Z, Chattopadhyay S, Chen HF, Chen JH, Chen L, Cheng J, Cherney M, Chikanian A, Christie W, Chwastowski J, Codrington MJM, Contin G, Cramer JG, Crawford HJ, Cui X, Das S, Davila Leyva A, De Silva LC, Debbe RR, Dedovich TG, Deng J, Derevschikov AA, Derradi de Souza R, Dhamija S, di Ruzza B, Didenko L, Dilks C, Ding F, Djawotho P, Dong X, Drachenberg JL, Draper JE, Du CM, Dunkelberger LE, Dunlop JC, Efimov LG, Engelage J, Engle KS, Eppley G, Eun L, Evdokimov O, Eyser O, Fatemi R, Fazio S, Fedorisin J, Filip P, Finch E, Fisyak Y, Flores CE, Gagliardi CA, Gangadharan DR, Garand D, Geurts F, Gibson A, Girard M, Gliske S, Greiner L, Grosnick D, Gunarathne DS, Guo Y, Gupta A, Gupta S, Guryn W, Haag B, Hamed A, Han LX, Haque R, Harris JW, Heppelmann S, Hirsch A, Hoffmann GW, Hofman DJ, Horvat S, Huang B, Huang HZ, Huang X, Huck P, Humanic TJ, Igo G, Jacobs WW, Jang H, Judd EG, Kabana S, Kalinkin D, Kang K, Kauder K, Ke HW, Keane D, Kechechyan A, Kesich A, Khan ZH, Kikola DP, Kisel I, Kisiel A, Koetke DD, Kollegger T, Konzer J, Koralt I, Kotchenda L, Kraishan AF, Kravtsov P, Krueger K, Kulakov I, Kumar L, Kycia RA, Lamont MAC, Landgraf JM, Landry KD, Lauret J, Lebedev A, Lednicky R, Lee JH, LeVine MJ, Li C, Li W, Li X, Li X, Li Y, Li ZM, Lisa MA, Liu F, Ljubicic T, Llope WJ, Lomnitz M, Longacre RS, Luo X, Ma GL, Ma YG, Madagodagettige Don DMMD, Mahapatra DP, Majka R, Margetis S, Markert C, Masui H, Matis HS, McDonald D, McShane TS, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Morozov DA, Mustafa MK, Nandi BK, Nasim M, Nayak TK, Nelson JM, Nigmatkulov G, Nogach LV, Noh SY, Novak J, Nurushev SB, Odyniec G, Ogawa A, Oh K, Ohlson A, Okorokov V, Oldag EW, Olvitt DL, Pachr M, Page BS, Pal SK, Pan YX, Pandit Y, Panebratsev Y, Pawlak T, Pawlik B, Pei H, Perkins C, Peryt W, Pile P, Planinic M, Pluta J, Poljak N, Porter J, Poskanzer AM, Pruthi NK, Przybycien M, Pujahari PR, Putschke J, Qiu H, Quintero A, Ramachandran S, Raniwala R, Raniwala S, Ray RL, Riley CK, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Ross JF, Roy A, Ruan L, Rusnak J, Rusnakova O, Sahoo NR, Sahu PK, Sakrejda I, Salur S, Sandweiss J, Sangaline E, Sarkar A, Schambach J, Scharenberg RP, Schmah AM, Schmidke WB, Schmitz N, Seger J, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sharma B, Shen WQ, Shi SS, Shou QY, Sichtermann EP, Singaraju RN, Skoby MJ, Smirnov D, Smirnov N, Solanki D, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stevens JR, Stock R, Strikhanov M, Stringfellow B, Sumbera M, Sun X, Sun XM, Sun Y, Sun Z, Surrow B, Svirida DN, Symons TJM, Szelezniak MA, Takahashi J, Tang AH, Tang Z, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Trentalange S, Tribble RE, Tribedy P, Trzeciak BA, Tsai OD, Turnau J, Ullrich T, Underwood DG, Van Buren G, van Nieuwenhuizen G, Vandenbroucke M, Vanfossen JA, Varma R, Vasconcelos GMS, Vasiliev AN, Vertesi R, Videbæk F, Viyogi YP, Vokal S, Vossen A, Wada M, Wang F, Wang G, Wang H, Wang JS, Wang XL, Wang Y, Wang Y, Webb G, Webb JC, Westfall GD, Wieman H, Wissink SW, Witt R, Wu YF, Xiao Z, Xie W, Xin K, Xu H, Xu J, Xu N, Xu QH, Xu Y, Xu Z, Yan W, Yang C, Yang Y, Yang Y, Ye Z, Yepes P, Yi L, Yip K, Yoo IK, Yu N, Zawisza Y, Zbroszczyk H, Zha W, Zhang JB, Zhang JL, Zhang S, Zhang XP, Zhang Y, Zhang ZP, Zhao F, Zhao J, Zhong C, Zhu X, Zhu YH, Zoulkarneeva Y, Zyzak M. Erratum: Observation of D^{0} Meson Nuclear Modifications in Au+Au Collisions at sqrt[s_{NN}]=200 GeV [Phys. Rev. Lett. 113, 142301 (2014)]. Phys Rev Lett 2018; 121:229901. [PMID: 30547623 DOI: 10.1103/physrevlett.121.229901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Indexed: 06/09/2023]
Abstract
This corrects the article DOI: 10.1103/PhysRevLett.113.142301.
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Wang C, Mo SF, Zhang JB, Li JR, Huang RL, Tan HY. [Personal dose monitoring of radiation workers in medical institutions at the municipal level and below in a city from 2011 to 2014]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2018; 35:594-597. [PMID: 29081129 DOI: 10.3760/cma.j.issn.1001-9391.2017.08.010] [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 determine the personal dose level of radiation workers in medical institutions at the municipal level and below in a city, and to provide a scientific support for strengthening the radiation protection in the city's medical institutions. Methods: Information of the successful applicants for the "Radiation Worker Permit" from 174 medical institutions at the municipal level and below was collected from October 1, 2011 to December 31, 2014. The annual effective dose was calculated based on the personal dose monitoring report, and indicators including sex, permit application time, hospital level, type of occupational radiation, length of radiation work, blood test, and micronucleated lymphocyte rate were analyzed. Results: Of the 1 143 radiation worker permit applications submitted by medical institutions the municipal level and below in this city from 2011 to 2014, 1 123 provided at least one personal dose monitoring report. The annual effective dose of the radiation workers was 0-4.76 mSv (mean 0.31±0.40 mSv) , and the collective annual effective dose was 351.96 mSv. The annual effective dose was significantly different between radiation workers with different times of permit application, hospital levels, and types of occupational radiation (P<0.05) . Interventional radiology workers had the highest annual effective dose (0.63 mSv) , and annual effective dose was significantly different between interventional radiology workers with different lengths of radiation work (H=10.812, P<0.05) . Conclusion: The personal radiation dose of radiation workers in medical institutions at the municipal level and below in this city is maintained at a relatively low level, suggesting that the occupational environment is relatively safe for these workers. However, more focus should be placed on clinical interventional radiology workers.
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Affiliation(s)
- C Wang
- Radiological Health Department, Guangzhuo Center for Disease Control and Prevention, Guangzhou 510440, China
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Wu JY, Zhang JB, Chen WJ, Sun DY. [Effect of nerve growth factor on chronic peripheral neuropathy in rats induced by 1-bromopropane]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2018; 35:497-500. [PMID: 29081097 DOI: 10.3760/cma.j.issn.1001-9391.2017.07.005] [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 observe the effect of nerve growth factor (NGF) and Mecobalamin on chronic peripheral neuropathy in rats induced by 1-bromopropane. Methods: 36 male SD rats were exposed to 1-bromopropane vapor at concentrations of 4 000 mg/m(3), 6 hours per day, 5 days per week for 12 weeks. The rats were randomed divided into 4 groups, and treated by Mecobalamin for 300 μg/kg qd, NGF for 40 μg/kg qd, Mecobalamin+NGF with the dose as mentioned above, respecively. The control group were fed in normal condition. The changes of Sciatic nerve conduction velocity (NCV) , electromyography (EMG) and pathology were observed 30 days later. Results: The nerve conduction velocity were decreased in all the rats. Compared with the control group, the motor nerve conduction velocity (MCV) was improved in group Mecobalamin and group Mecobalamin+NGF, The difference was statistically significant, as the sensory nerve conduction velocity (SCV) was improved only in group Mecobalamin+NGF. Sciatic nerve biopsy observed by electron microscope showed that myelinated nerve fibers were obvious swelling, lamellar separation, partial myelin vacuolization, and axonal degeneration. After treatment with exogenous nerve growth factor, the number and severity of damaged nerve fibers were restored. Conclusion: Exogenous nerve growth factor contributes to the recovery of peripheral nerve damage induced by 1-bromopropane.
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Affiliation(s)
- J Y Wu
- Dept of Toxicology, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
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Song L, Tian P, Zhang JB, Jin GZ. [Characteristics of Nitrogen Deposition in Heilongjiang Liangshui National Nature Reserve]. Huan Jing Ke Xue 2018; 39:4490-4496. [PMID: 30229595 DOI: 10.13227/j.hjkx.201801215] [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: 11/22/2022]
Abstract
To investigate the nitrogen deposition status in Heilongjiang Liangshui National Nature Reserve, a G78 nitrogen deposition collector was used to monitor dry particulate nitrogen deposition and wet nitrogen deposition during the growing season in 2015, and a bucket was used to monitor bulk nitrogen deposition during non-growing season. The results showed that:①Total nitrogen deposition (wet nitrogen deposition+dry particulate nitrogen deposition during the growing season and bulk deposition during the non-growing season) was 12.93 kg·(hm2·a)-1, inorganic nitrogen deposition was 8.27 kg·(hm2·a)-1 with NH4+/NO3- ratio of 1.3; organic nitrogen deposition was 4.66 kg·(hm2·a)-1, which was equivalent to 36.0% of the total nitrogen deposition. ②Total nitrogen deposition in the growing season (wet+dry particulate deposition) and non-growing season (bulk deposition) were 11.42 kg·hm-2 and 1.51 kg·hm-2respectively, which account for 88.3% and 11.7% of the total nitrogen deposition respectively. ③Total wet nitrogen deposition during the growing season was 9.28 kg·hm-2, contributing to 81.3% of the total nitrogen deposition in the growing season, and was positively correlated with precipitation (R2=0.87, P<0.001); total dry particulate nitrogen deposition in the growing season was 2.14 kg·hm-2, which was 18.7% of the total nitrogen deposition in growing season. Wet nitrogen deposition in this region is moderate compared with other regions in China, and is significantly affected by precipitation. There is a potential risk of environmental pollution in this region. Thus, environmental protection and water quality monitoring are required in the process of production.
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Affiliation(s)
- Lei Song
- Center for Ecological Research, Northeast Forestry University, Harbin 150040, China
| | - Peng Tian
- Center for Ecological Research, Northeast Forestry University, Harbin 150040, China
| | - Jin-Bo Zhang
- School of Geography Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Guang-Ze Jin
- Center for Ecological Research, Northeast Forestry University, Harbin 150040, China
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Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Ajitanand NN, Alekseev I, Anderson DM, Aoyama R, Aparin A, Arkhipkin D, Aschenauer EC, Ashraf MU, Attri A, Averichev GS, Bai X, Bairathi V, Barish K, Behera A, Bellwied R, Bhasin A, Bhati AK, Bhattarai P, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Bouchet J, Brandenburg JD, Brandin AV, Brown D, Bunzarov I, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Campbell JM, Cebra D, Chakaberia I, Chaloupka P, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen JH, Chen X, Chen X, Cheng J, Cherney M, Christie W, Contin G, Crawford HJ, Das S, De Silva LC, Debbe RR, Dedovich TG, Deng J, Derevschikov AA, Didenko L, Dilks C, Dong X, Drachenberg JL, Draper JE, Dunkelberger LE, Dunlop JC, Efimov LG, Elsey N, Engelage J, Eppley G, Esha R, Esumi S, Evdokimov O, Ewigleben J, Eyser O, Fatemi R, Fazio S, Federic P, Federicova P, Fedorisin J, Feng Z, Filip P, Finch E, Fisyak Y, Flores CE, Fujita J, Fulek L, Gagliardi CA, Garand D, Geurts F, Gibson A, Girard M, Grosnick D, Gunarathne DS, Guo Y, Gupta S, Gupta A, Guryn W, Hamad AI, Hamed A, Harlenderova A, Harris JW, He L, Heppelmann S, Heppelmann S, Hirsch A, Hoffmann GW, Horvat S, Huang X, Huang HZ, Huang T, Huang B, Humanic TJ, Huo P, Igo G, Jacobs WW, Jentsch A, Jia J, Jiang K, Jowzaee S, Judd EG, Kabana S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Khan Z, Kikoła DP, Kim C, Kisel I, Kisiel A, Kochenda L, Kocmanek M, Kollegger T, Kosarzewski LK, Kraishan AF, Krauth L, Kravtsov P, Krueger K, Kulathunga N, Kumar L, Kvapil J, Kwasizur JH, Lacey R, Landgraf JM, Landry KD, Lauret J, Lebedev A, Lednicky R, Lee JH, Li C, Li W, Li Y, Li X, Lidrych J, Lin T, Lisa MA, Liu P, Liu F, Liu H, Liu Y, Ljubicic T, Llope WJ, Lomnitz M, Longacre RS, Luo X, Luo S, Ma GL, Ma L, Ma YG, Ma R, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Meehan K, Mei JC, Miller ZW, Minaev NG, Mioduszewski S, Mishra D, Mizuno S, Mohanty B, Mondal MM, Morozov DA, Mustafa MK, Nasim M, Nayak TK, Nelson JM, Nie M, Nigmatkulov G, Niida T, Nogach LV, Nonaka T, Nurushev SB, Odyniec G, Ogawa A, Oh K, Okorokov VA, Olvitt D, Page BS, Pak R, Pandit Y, Panebratsev Y, Pawlik B, Pei H, Perkins C, Pile P, Pluta J, Poniatowska K, Porter J, Posik M, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Ramachandran S, Ray RL, Reed R, Rehbein MJ, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Roth JD, Ruan L, Rusnak J, Rusnakova O, Sahoo NR, Sahu PK, Salur S, Sandweiss J, Sangaline E, Saur M, Schambach J, Schmah AM, Schmidke WB, Schmitz N, Schweid BR, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sharma MK, Sharma A, Shen WQ, Shi Z, Shi SS, Shou QY, Sichtermann EP, Sikora R, Simko M, Singha S, Skoby MJ, Smirnov D, Smirnov N, Solyst W, Song L, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Strikhanov M, Stringfellow B, Sugiura T, Sumbera M, Summa B, Sun XM, Sun Y, Sun X, Surrow B, Svirida DN, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Tawfik A, Thäder J, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Trzeciak BA, Tsai OD, Ullrich T, Underwood DG, Upsal I, Van Buren G, van Nieuwenhuizen G, Vasiliev AN, Videbæk F, Vokal S, Voloshin SA, Vossen A, Wang F, Wang Y, Wang G, Wang Y, Webb JC, Webb G, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu Y, Xiao ZG, Xie G, Xie W, Xu Z, Xu N, Xu YF, Xu QH, Xu J, Yang Q, Yang C, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yoo IK, Yu N, Zbroszczyk H, Zha W, Zhang XP, Zhang S, Zhang JB, Zhang J, Zhang Z, Zhang S, Zhang J, Zhang Y, Zhao J, Zhong C, Zhou L, Zhou C, Zhu Z, Zhu X, Zyzak M. Beam Energy Dependence of Jet-Quenching Effects in Au+Au Collisions at sqrt[s_{NN}]=7.7, 11.5, 14.5, 19.6, 27, 39, and 62.4 GeV. Phys Rev Lett 2018; 121:032301. [PMID: 30085817 DOI: 10.1103/physrevlett.121.032301] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 03/29/2018] [Indexed: 06/08/2023]
Abstract
We report measurements of the nuclear modification factor R_{CP} for charged hadrons as well as identified π^{+(-)}, K^{+(-)}, and p(p[over ¯]) for Au+Au collision energies of sqrt[s_{NN}]=7.7, 11.5, 14.5, 19.6, 27, 39, and 62.4 GeV. We observe a clear high-p_{T} net suppression in central collisions at 62.4 GeV for charged hadrons which evolves smoothly to a large net enhancement at lower energies. This trend is driven by the evolution of the pion spectra but is also very similar for the kaon spectra. While the magnitude of the proton R_{CP} at high p_{T} does depend on the collision energy, neither the proton nor the antiproton R_{CP} at high p_{T} exhibit net suppression at any energy. A study of how the binary collision-scaled high-p_{T} yield evolves with centrality reveals a nonmonotonic shape that is consistent with the idea that jet quenching is increasing faster than the combined phenomena that lead to enhancement.
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Affiliation(s)
- L Adamczyk
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J R Adams
- Ohio State University, Columbus, Ohio 43210, USA
| | - J K Adkins
- University of Kentucky, Lexington, Kentucky 40506-0055, USA
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - N N Ajitanand
- State University of New York, Stony Brook, New York 11794, USA
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843, USA
| | - R Aoyama
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - D Arkhipkin
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - E C Aschenauer
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - M U Ashraf
- Tsinghua University, Beijing 100084, China
| | - A Attri
- Panjab University, Chandigarh 160014, India
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- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
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- Central China Normal University, Wuhan, Hubei 430079, China
| | - V Bairathi
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
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- University of California, Riverside, California 92521, USA
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- State University of New York, Stony Brook, New York 11794, USA
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- University of Houston, Houston, Texas 77204, USA
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- University of Jammu, Jammu 180001, India
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- Panjab University, Chandigarh 160014, India
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- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
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- Nuclear Physics Institute AS CR, Prague, 250 68, Czech Republic
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- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
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- Texas A&M University, College Station, Texas 77843, USA
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- Variable Energy Cyclotron Centre, Kolkata 700064, India
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
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- Nuclear Physics Institute AS CR, Prague, 250 68, Czech Republic
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- University of Science and Technology of China, Hefei, Anhui 230026, China
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- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
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- Tsinghua University, Beijing 100084, China
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- University of Science and Technology of China, Hefei, Anhui 230026, China
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- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
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- Central China Normal University, Wuhan, Hubei 430079, China
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- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
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- State University of New York, Stony Brook, New York 11794, USA
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- Institute of High Energy Physics, Protvino 142281, Russia
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- National Institute of Science Education and Research, HBNI, Jatni 752050, India
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
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- National Institute of Science Education and Research, HBNI, Jatni 752050, India
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- Institute of Physics, Bhubaneswar 751005, India
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- Institute of High Energy Physics, Protvino 142281, Russia
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- University of California, Los Angeles, California 90095, USA
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- Variable Energy Cyclotron Centre, Kolkata 700064, India
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- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
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- National Research Nuclear University MEPhI, Moscow 115409, Russia
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- Institute of High Energy Physics, Protvino 142281, Russia
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- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
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- Institute of High Energy Physics, Protvino 142281, Russia
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
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- Pusan National University, Pusan 46241, Korea
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- National Research Nuclear University MEPhI, Moscow 115409, Russia
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- Temple University, Philadelphia, Pennsylvania 19122, USA
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- University of Illinois at Chicago, Chicago, Illinois 60607, USA
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- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
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- Institute of Nuclear Physics PAN, Cracow 31-342, Poland
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- Central China Normal University, Wuhan, Hubei 430079, China
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- University of California, Berkeley, California 94720, USA
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Warsaw University of Technology, Warsaw 00-661, Poland
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- Warsaw University of Technology, Warsaw 00-661, Poland
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
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- Temple University, Philadelphia, Pennsylvania 19122, USA
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- Panjab University, Chandigarh 160014, India
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- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
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- Wayne State University, Detroit, Michigan 48201, USA
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- Nuclear Physics Institute AS CR, Prague, 250 68, Czech Republic
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- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
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- Texas A&M University, College Station, Texas 77843, USA
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- Max-Planck-Institut fur Physik, Munich 80805, Germany
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- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
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- University of Science and Technology of China, Hefei, Anhui 230026, China
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- University of Jammu, Jammu 180001, India
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- University of Jammu, Jammu 180001, India
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- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
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- Nuclear Physics Institute AS CR, Prague, 250 68, Czech Republic
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- Kent State University, Kent, Ohio 44242, USA
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- University of Science and Technology of China, Hefei, Anhui 230026, China
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
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- Purdue University, West Lafayette, Indiana 47907, USA
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- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
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- University of Science and Technology of China, Hefei, Anhui 230026, China
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- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
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- Shandong University, Jinan, Shandong 250100, China
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- Tsinghua University, Beijing 100084, China
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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36
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Zhang JB, Sun DY. [Occupational characteristics of 318 cases diagnosed as occupational asthma]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2018; 36:35-38. [PMID: 29495177 DOI: 10.3760/cma.j.issn.1001-9391.2018.01.010] [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 summarize the clinical characteristics of occupational asthma and provide a basis for revising the diagnosis of occupational asthma in China. Methods: Taking "occupational asthma" , "occupational bronchial asthma" and "bronchial provocation test at work site" as key words, the case reports of occupational asthma in China were retrieved. The general data, latent period, allergen, clinical manifestation, and diagnostic methods were analyzed. Results: A total 318 cases from 14 published literatures were reported.The incidence of male and female is basically similar. The average age of onset is 38 years, and the latent period is from 2 months to 19 years. The top 3 allergens were isocyanates, penicillin and cephalosporins, formaldehyde. During the diagnosis process, 48.8% of the patients were diagnosed by bronchial provocation test, and 19 cases were diagnosed according to the specific IgE antibody. Only 1 case was diagnosed according to the specific skin test. Conclusion: The etiological diagnosis of occupational asthma is not easy. Nearly half of the patients in our country have been diagnosed as occupational asthma by bronchial provocation test at work site. How to identify the relationship between occupational exposure and the occurrence of asthma is one of the main problems we need to solve.
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Affiliation(s)
- J B Zhang
- Dept of Toxicology, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
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Wang H, Ti Y, Zhang JB, Peng J, Zhou HM, Zhong M, Xing YQ, Zhang Y, Zhang W, Wang ZH. Single nucleotide polymorphisms in CIDEC gene are associated with metabolic syndrome components risks and antihypertensive drug efficacy. Oncotarget 2018; 8:27481-27488. [PMID: 28415694 PMCID: PMC5432350 DOI: 10.18632/oncotarget.16078] [Citation(s) in RCA: 4] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Accepted: 02/27/2017] [Indexed: 12/22/2022] Open
Abstract
The association of single nucleotide polymorphisms rs1053239 and rs2479 of cell death-inducing DFFA-like effector c with the risk of metabolic syndrome and its components, and with the efficacy and cost-effectiveness of antihypertensive drugs was investigated. Totally 1064 subjects with metabolic syndrome and 1099 controls of Chinese Han nationality were recruited. Clinical assessment was conducted with medication records collected at baseline and during 5-year follow-up. Carriers of rs2479 A allele were at higher risk to develop elevated fasting glucose than non-carriers (P = 0.004). A allele at rs2479 were associated with a 5-year aggravation of blood triglyceride (P < 0.001) and diastolic blood pressure (P = 0.003), and C allele at rs1053239 with the exacerbation of systolic (P < 0.001) and diastolic blood pressure (P = 0.001). Moreover, efficacy and cost-effectiveness of angiotensin II-targeted drugs were higher in subjects with rs2479 A allele or rs1053239 C allele. These findings suggest that carriers of rs2479 A allele are predisposed to the development of increased fasting glucose, and the progressive elevation of blood triglyceride. Individuals with A allele at rs2479 or C allele at rs1053239 are more susceptible to a rapid progression of blood pressure, and benefit more from angiotensin II-targeted therapy.
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Affiliation(s)
- Hui Wang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, P.R. China
| | - Yun Ti
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, P.R. China
| | - Jin-Bo Zhang
- Weihai Center for Diseases Control and Prevention, Weihai, Shandong, 264200, P.R. China
| | - Jie Peng
- Department of Geriatrics, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, P.R. China
| | - Hui-Min Zhou
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, P.R. China
| | - Ming Zhong
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, P.R. China
| | - Yan-Qiu Xing
- Department of Geriatrics, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, P.R. China
| | - Yun Zhang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, P.R. China
| | - Wei Zhang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, P.R. China
| | - Zhi-Hao Wang
- Department of Geriatrics, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, P.R. China
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38
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Shi YZ, Xiong S, Zhang Y, Chin LK, Chen YY, Zhang JB, Zhang TH, Ser W, Larrson A, Lim SH, Wu JH, Chen TN, Yang ZC, Hao YL, Liedberg B, Yap PH, Wang K, Tsai DP, Qiu CW, Liu AQ. Sculpting nanoparticle dynamics for single-bacteria-level screening and direct binding-efficiency measurement. Nat Commun 2018; 9:815. [PMID: 29483548 PMCID: PMC5827716 DOI: 10.1038/s41467-018-03156-5] [Citation(s) in RCA: 107] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Accepted: 01/24/2018] [Indexed: 01/21/2023] Open
Abstract
Particle trapping and binding in optical potential wells provide a versatile platform for various biomedical applications. However, implementation systems to study multi-particle contact interactions in an optical lattice remain rare. By configuring an optofluidic lattice, we demonstrate the precise control of particle interactions and functions such as controlling aggregation and multi-hopping. The mean residence time of a single particle is found considerably reduced from 7 s, as predicted by Kramer’s theory, to 0.6 s, owing to the mechanical interactions among aggregated particles. The optofluidic lattice also enables single-bacteria-level screening of biological binding agents such as antibodies through particle-enabled bacteria hopping. The binding efficiency of antibodies could be determined directly, selectively, quantitatively and efficiently. This work enriches the fundamental mechanisms of particle kinetics and offers new possibilities for probing and utilising unprecedented biomolecule interactions at single-bacteria level. Optical trapping is a versatile tool for biomedical applications. Here, the authors use an optofluidic lattice to achieve controllable multi-particle hopping and demonstrate single-bacteria-level screening and measurement of binding efficiency of biological binding agents through particle-enabled bacteria hopping.
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Affiliation(s)
- Y Z Shi
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.,School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - S Xiong
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
| | - Y Zhang
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - L K Chin
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - Y -Y Chen
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - J B Zhang
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - T H Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore
| | - W Ser
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - A Larrson
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - S H Lim
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - J H Wu
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - T N Chen
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Z C Yang
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Institute of Microelectronics, Peking University, Beijing, 100871, China
| | - Y L Hao
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Institute of Microelectronics, Peking University, Beijing, 100871, China
| | - B Liedberg
- Centre for Biomimetic Sensor Science, School of Materials Science and Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - P H Yap
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore
| | - K Wang
- College of Biomedical Engineering, Taipei Medical University, Taipei, 11031, Taiwan.,Nanyang Environment & Water Research Institute, Nanyang Technological University, Singapore, 637141, Singapore
| | - D P Tsai
- Department of Physics, National Taiwan University, Taipei, 10617, Taiwan
| | - C-W Qiu
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore. .,SZU-NUS Collaborative Innovation Center for Optoelectronic Science and Technology, Shenzhen University, Shenzhen, 518060, China.
| | - A Q Liu
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore. .,National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Institute of Microelectronics, Peking University, Beijing, 100871, China.
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39
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Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Ajitanand NN, Alekseev I, Anderson DM, Aoyama R, Aparin A, Arkhipkin D, Aschenauer EC, Ashraf MU, Attri A, Averichev GS, Bai X, Bairathi V, Barish K, Behera A, Bellwied R, Bhasin A, Bhati AK, Bhattarai P, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Bouchet J, Brandenburg JD, Brandin AV, Brown D, Bunzarov I, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Campbell JM, Cebra D, Chakaberia I, Chaloupka P, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen X, Chen JH, Chen X, Cheng J, Cherney M, Christie W, Contin G, Crawford HJ, Das S, De Silva LC, Dedovich TG, Deng J, Derevschikov AA, Didenko L, Dilks C, Dong X, Drachenberg JL, Draper JE, Dunkelberger LE, Dunlop JC, Efimov LG, Elsey N, Engelage J, Eppley G, Esha R, Esumi S, Evdokimov O, Ewigleben J, Eyser O, Fatemi R, Fazio S, Federic P, Federicova P, Fedorisin J, Feng Z, Filip P, Finch E, Fisyak Y, Flores CE, Fujita J, Fulek L, Gagliardi CA, Garand D, Geurts F, Gibson A, Girard M, Grosnick D, Gunarathne DS, Guo Y, Gupta A, Gupta S, Guryn W, Hamad AI, Hamed A, Harlenderova A, Harris JW, He L, Heppelmann S, Heppelmann S, Hirsch A, Horvat S, Huang X, Huang B, Huang T, Huang HZ, Humanic TJ, Huo P, Igo G, Jacobs WW, Jentsch A, Jia J, Jiang K, Jowzaee S, Judd EG, Kabana S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Khan Z, Kikoła DP, Kim C, Kisel I, Kisiel A, Kochenda L, Kocmanek M, Kollegger T, Kosarzewski LK, Kraishan AF, Krauth L, Kravtsov P, Krueger K, Kulathunga N, Kumar L, Kvapil J, Kwasizur JH, Lacey R, Landgraf JM, Landry KD, Lauret J, Lebedev A, Lednicky R, Lee JH, Li C, Li X, Li Y, Li W, Lidrych J, Lin T, Lisa MA, Liu P, Liu H, Liu Y, Liu F, Ljubicic T, Llope WJ, Lomnitz M, Longacre RS, Luo S, Luo X, Ma YG, Ma L, Ma R, Ma GL, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Meehan K, Mei JC, Miller ZW, Minaev NG, Mioduszewski S, Mishra D, Mizuno S, Mohanty B, Mondal MM, Morozov DA, Mustafa MK, Nasim M, Nayak TK, Nelson JM, Nie M, Nigmatkulov G, Niida T, Nogach LV, Nonaka T, Nurushev SB, Odyniec G, Ogawa A, Oh K, Okorokov VA, Olvitt D, Page BS, Pak R, Pandit Y, Panebratsev Y, Pawlik B, Pei H, Perkins C, Pile P, Pluta J, Poniatowska K, Porter J, Posik M, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Ramachandran S, Ray RL, Reed R, Rehbein MJ, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Roth JD, Ruan L, Rusnak J, Rusnakova O, Sahoo NR, Sahu PK, Salur S, Sandweiss J, Saur M, Schambach J, Schmah AM, Schmidke WB, Schmitz N, Schweid BR, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sharma A, Sharma MK, Shen WQ, Shi SS, Shi Z, Shou QY, Sichtermann EP, Sikora R, Simko M, Singha S, Skoby MJ, Smirnov N, Smirnov D, Solyst W, Song L, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Strikhanov M, Stringfellow B, Suaide AAP, Sugiura T, Sumbera M, Summa B, Sun Y, Sun XM, Sun X, Surrow B, Svirida DN, Tang Z, Tang AH, Taranenko A, Tarnowsky T, Tawfik A, Thäder J, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Trzeciak BA, Tsai OD, Ullrich T, Underwood DG, Upsal I, Van Buren G, van Nieuwenhuizen G, Vasiliev AN, Videbæk F, Vokal S, Voloshin SA, Vossen A, Wang G, Wang Y, Wang F, Wang Y, Webb JC, Webb G, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu Y, Xiao ZG, Xie G, Xie W, Xu J, Xu Z, Xu QH, Xu YF, Xu N, Yang S, Yang Y, Yang C, Yang Q, Ye Z, Ye Z, Yi L, Yip K, Yoo IK, Yu N, Zbroszczyk H, Zha W, Zhang Z, Zhang JB, Zhang J, Zhang S, Zhang Y, Zhang XP, Zhang J, Zhang S, Zhao J, Zhong C, Zhou C, Zhou L, Zhu X, Zhu Z, Zyzak M. Beam-Energy Dependence of Directed Flow of Λ, Λ[over ¯], K^{±}, K_{s}^{0}, and ϕ in Au+Au Collisions. Phys Rev Lett 2018; 120:062301. [PMID: 29481217 DOI: 10.1103/physrevlett.120.062301] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Indexed: 06/08/2023]
Abstract
Rapidity-odd directed-flow measurements at midrapidity are presented for Λ, Λ[over ¯], K^{±}, K_{s}^{0}, and ϕ at sqrt[s_{NN}]=7.7, 11.5, 14.5, 19.6, 27, 39, 62.4, and 200 GeV in Au+Au collisions recorded by the Solenoidal Tracker detector at the Relativistic Heavy Ion Collider. These measurements greatly expand the scope of data available to constrain models with differing prescriptions for the equation of state of quantum chromodynamics. Results show good sensitivity for testing a picture where flow is assumed to be imposed before hadron formation and the observed particles are assumed to form via coalescence of constituent quarks. The pattern of departure from a coalescence-inspired sum rule can be a valuable new tool for probing the collision dynamics.
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Affiliation(s)
- L Adamczyk
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J R Adams
- Ohio State University, Columbus, Ohio 43210
| | - J K Adkins
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - N N Ajitanand
- State University of New York, Stony Brook, New York 11794
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - R Aoyama
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - D Arkhipkin
- Brookhaven National Laboratory, Upton, New York 11973
| | | | | | - A Attri
- Panjab University, Chandigarh 160014, India
| | - G S Averichev
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - X Bai
- Central China Normal University, Wuhan, Hubei 430079
| | - V Bairathi
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - K Barish
- University of California, Riverside, California 92521
| | - A Behera
- State University of New York, Stony Brook, New York 11794
| | - R Bellwied
- University of Houston, Houston, Texas 77204
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - A K Bhati
- Panjab University, Chandigarh 160014, India
| | | | - J Bielcik
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - J Bielcikova
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - L C Bland
- Brookhaven National Laboratory, Upton, New York 11973
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
| | - J Bouchet
- Kent State University, Kent, Ohio 44242
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D Brown
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - I Bunzarov
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | | | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | | | - D Cebra
- University of California, Davis, California 95616
| | - I Chakaberia
- Brookhaven National Laboratory, Upton, New York 11973
- Kent State University, Kent, Ohio 44242
- Shandong University, Jinan, Shandong 250100
| | - P Chaloupka
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - Z Chang
- Texas A&M University, College Station, Texas 77843
| | | | - A Chatterjee
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | | | - X Chen
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J H Chen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Chen
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - M Cherney
- Creighton University, Omaha, Nebraska 68178
| | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - G Contin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - S Das
- Central China Normal University, Wuhan, Hubei 430079
| | | | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - J Deng
- Shandong University, Jinan, Shandong 250100
| | | | - L Didenko
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Dilks
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - J E Draper
- University of California, Davis, California 95616
| | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - L G Efimov
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - N Elsey
- Wayne State University, Detroit, Michigan 48201
| | - J Engelage
- University of California, Berkeley, California 94720
| | - G Eppley
- Rice University, Houston, Texas 77251
| | - R Esha
- University of California, Los Angeles, California 90095
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - J Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - S Fazio
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Federic
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - P Federicova
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - J Fedorisin
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - Z Feng
- Central China Normal University, Wuhan, Hubei 430079
| | - P Filip
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973
| | - C E Flores
- University of California, Davis, California 95616
| | - J Fujita
- Creighton University, Omaha, Nebraska 68178
| | - L Fulek
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | | | - D Garand
- Purdue University, West Lafayette, Indiana 47907
| | - F Geurts
- Rice University, Houston, Texas 77251
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383
| | - M Girard
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383
| | | | - Y Guo
- Kent State University, Kent, Ohio 44242
| | - A Gupta
- University of Jammu, Jammu 180001, India
| | - S Gupta
- University of Jammu, Jammu 180001, India
| | - W Guryn
- Brookhaven National Laboratory, Upton, New York 11973
| | - A I Hamad
- Kent State University, Kent, Ohio 44242
| | - A Hamed
- Texas A&M University, College Station, Texas 77843
| | - A Harlenderova
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - J W Harris
- Yale University, New Haven, Connecticut 06520
| | - L He
- Purdue University, West Lafayette, Indiana 47907
| | - S Heppelmann
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - S Heppelmann
- University of California, Davis, California 95616
| | - A Hirsch
- Purdue University, West Lafayette, Indiana 47907
| | - S Horvat
- Yale University, New Haven, Connecticut 06520
| | - X Huang
- Tsinghua University, Beijing 100084
| | - B Huang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - T Huang
- National Cheng Kung University, Tainan 70101
| | - H Z Huang
- University of California, Los Angeles, California 90095
| | | | - P Huo
- State University of New York, Stony Brook, New York 11794
| | - G Igo
- University of California, Los Angeles, California 90095
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408
| | - A Jentsch
- University of Texas, Austin, Texas 78712
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973
- State University of New York, Stony Brook, New York 11794
| | - K Jiang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Jowzaee
- Wayne State University, Detroit, Michigan 48201
| | - E G Judd
- University of California, Berkeley, California 94720
| | - S Kabana
- Kent State University, Kent, Ohio 44242
| | - D Kalinkin
- Indiana University, Bloomington, Indiana 47408
| | - K Kang
- Tsinghua University, Beijing 100084
| | - D Kapukchyan
- University of California, Riverside, California 92521
| | - K Kauder
- Wayne State University, Detroit, Michigan 48201
| | - H W Ke
- Brookhaven National Laboratory, Upton, New York 11973
| | - D Keane
- Kent State University, Kent, Ohio 44242
| | - A Kechechyan
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - Z Khan
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - D P Kikoła
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - C Kim
- University of California, Riverside, California 92521
| | - I Kisel
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - A Kisiel
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - M Kocmanek
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - T Kollegger
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | | | - A F Kraishan
- Temple University, Philadelphia, Pennsylvania 19122
| | - L Krauth
- University of California, Riverside, California 92521
| | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - K Krueger
- Argonne National Laboratory, Argonne, Illinois 60439
| | | | - L Kumar
- Panjab University, Chandigarh 160014, India
| | - J Kvapil
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | | | - R Lacey
- State University of New York, Stony Brook, New York 11794
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973
| | - K D Landry
- University of California, Los Angeles, California 90095
| | - J Lauret
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Lebedev
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Lednicky
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- Tsinghua University, Beijing 100084
| | - W Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - J Lidrych
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - T Lin
- Indiana University, Bloomington, Indiana 47408
| | - M A Lisa
- Ohio State University, Columbus, Ohio 43210
| | - P Liu
- State University of New York, Stony Brook, New York 11794
| | - H Liu
- Indiana University, Bloomington, Indiana 47408
| | - Y Liu
- Texas A&M University, College Station, Texas 77843
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201
| | - M Lomnitz
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - R S Longacre
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Luo
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - X Luo
- Central China Normal University, Wuhan, Hubei 430079
| | - Y G Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - L Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973
| | - G L Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - N Magdy
- State University of New York, Stony Brook, New York 11794
| | - R Majka
- Yale University, New Haven, Connecticut 06520
| | - D Mallick
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | | | - C Markert
- University of Texas, Austin, Texas 78712
| | - H S Matis
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K Meehan
- University of California, Davis, California 95616
| | - J C Mei
- Shandong University, Jinan, Shandong 250100
| | - Z W Miller
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - N G Minaev
- Institute of High Energy Physics, Protvino 142281, Russia
| | | | - D Mishra
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - S Mizuno
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B Mohanty
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - M M Mondal
- Institute of Physics, Bhubaneswar 751005, India
| | - D A Morozov
- Institute of High Energy Physics, Protvino 142281, Russia
| | - M K Mustafa
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Md Nasim
- University of California, Los Angeles, California 90095
| | - T K Nayak
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - J M Nelson
- University of California, Berkeley, California 94720
| | - M Nie
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - G Nigmatkulov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Niida
- Wayne State University, Detroit, Michigan 48201
| | - L V Nogach
- Institute of High Energy Physics, Protvino 142281, Russia
| | - T Nonaka
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - S B Nurushev
- Institute of High Energy Physics, Protvino 142281, Russia
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Ogawa
- Brookhaven National Laboratory, Upton, New York 11973
| | - K Oh
- Pusan National University, Pusan 46241, Korea
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D Olvitt
- Temple University, Philadelphia, Pennsylvania 19122
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Pandit
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - Y Panebratsev
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - B Pawlik
- Institute of Nuclear Physics PAN, Cracow 31-342, Poland
| | - H Pei
- Central China Normal University, Wuhan, Hubei 430079
| | - C Perkins
- University of California, Berkeley, California 94720
| | - P Pile
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Pluta
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - K Poniatowska
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - J Porter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - M Przybycien
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201
| | - H Qiu
- Purdue University, West Lafayette, Indiana 47907
| | - A Quintero
- Temple University, Philadelphia, Pennsylvania 19122
| | | | - R L Ray
- University of Texas, Austin, Texas 78712
| | - R Reed
- Lehigh University, Bethlehem, Pennsylvania 18015
| | | | - H G Ritter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | - J L Romero
- University of California, Davis, California 95616
| | - J D Roth
- Creighton University, Omaha, Nebraska 68178
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Rusnak
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - O Rusnakova
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - N R Sahoo
- Texas A&M University, College Station, Texas 77843
| | - P K Sahu
- Institute of Physics, Bhubaneswar 751005, India
| | - S Salur
- Rutgers University, Piscataway, New Jersey 08854
| | - J Sandweiss
- Yale University, New Haven, Connecticut 06520
| | - M Saur
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | | | - A M Schmah
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Schmitz
- Max-Planck-Institut fur Physik, Munich 80805, Germany
| | - B R Schweid
- State University of New York, Stony Brook, New York 11794
| | - J Seger
- Creighton University, Omaha, Nebraska 68178
| | - M Sergeeva
- University of California, Los Angeles, California 90095
| | - R Seto
- University of California, Riverside, California 92521
| | - P Seyboth
- Max-Planck-Institut fur Physik, Munich 80805, Germany
| | - N Shah
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | | | - M Shao
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A Sharma
- University of Jammu, Jammu 180001, India
| | - M K Sharma
- University of Jammu, Jammu 180001, India
| | - W Q Shen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079
| | - Z Shi
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Q Y Shou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - E P Sichtermann
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - R Sikora
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - M Simko
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - S Singha
- Kent State University, Kent, Ohio 44242
| | - M J Skoby
- Indiana University, Bloomington, Indiana 47408
| | - N Smirnov
- Yale University, New Haven, Connecticut 06520
| | - D Smirnov
- Brookhaven National Laboratory, Upton, New York 11973
| | - W Solyst
- Indiana University, Bloomington, Indiana 47408
| | - L Song
- University of Houston, Houston, Texas 77204
| | - P Sorensen
- Brookhaven National Laboratory, Upton, New York 11973
| | - H M Spinka
- Argonne National Laboratory, Argonne, Illinois 60439
| | - B Srivastava
- Purdue University, West Lafayette, Indiana 47907
| | | | - M Strikhanov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - A A P Suaide
- Universidade de Sao Paulo, Sao Paulo, Brazil, 05314-970
| | - T Sugiura
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - M Sumbera
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - B Summa
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026
| | - X M Sun
- Central China Normal University, Wuhan, Hubei 430079
| | - X Sun
- Central China Normal University, Wuhan, Hubei 430079
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Tarnowsky
- Michigan State University, East Lansing, Michigan 48824
| | - A Tawfik
- World Laboratory for Cosmology and Particle Physics (WLCAPP), Cairo 11571, Egypt
| | - J Thäder
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - D Tlusty
- Rice University, Houston, Texas 77251
| | - T Todoroki
- Brookhaven National Laboratory, Upton, New York 11973
| | - M Tokarev
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - S Trentalange
- University of California, Los Angeles, California 90095
| | - R E Tribble
- Texas A&M University, College Station, Texas 77843
| | - P Tribedy
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - B A Trzeciak
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - O D Tsai
- University of California, Los Angeles, California 90095
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439
| | - I Upsal
- Ohio State University, Columbus, Ohio 43210
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - A N Vasiliev
- Institute of High Energy Physics, Protvino 142281, Russia
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Vokal
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | | | - A Vossen
- Indiana University, Bloomington, Indiana 47408
| | - G Wang
- University of California, Los Angeles, California 90095
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079
| | - F Wang
- Purdue University, West Lafayette, Indiana 47907
| | - Y Wang
- Tsinghua University, Beijing 100084
| | - J C Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | - G Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | - L Wen
- University of California, Los Angeles, California 90095
| | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408
| | - R Witt
- United States Naval Academy, Annapolis, Maryland 21402
| | - Y Wu
- Kent State University, Kent, Ohio 44242
| | - Z G Xiao
- Tsinghua University, Beijing 100084
| | - G Xie
- University of Science and Technology of China, Hefei, Anhui 230026
| | - W Xie
- Purdue University, West Lafayette, Indiana 47907
| | - J Xu
- Central China Normal University, Wuhan, Hubei 430079
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973
| | - Q H Xu
- Shandong University, Jinan, Shandong 250100
| | - Y F Xu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - N Xu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S Yang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Yang
- National Cheng Kung University, Tainan 70101
| | - C Yang
- Shandong University, Jinan, Shandong 250100
| | - Q Yang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - L Yi
- Yale University, New Haven, Connecticut 06520
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973
| | - I-K Yoo
- Pusan National University, Pusan 46241, Korea
| | - N Yu
- Central China Normal University, Wuhan, Hubei 430079
| | - H Zbroszczyk
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Z Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - J B Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - J Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - S Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | | | - J Zhang
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - J Zhao
- Purdue University, West Lafayette, Indiana 47907
| | - C Zhong
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - C Zhou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - L Zhou
- University of Science and Technology of China, Hefei, Anhui 230026
| | - X Zhu
- Tsinghua University, Beijing 100084
| | - Z Zhu
- Shandong University, Jinan, Shandong 250100
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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Wan T, Liu ZM, Li LF, Leitch AR, Leitch IJ, Lohaus R, Liu ZJ, Xin HP, Gong YB, Liu Y, Wang WC, Chen LY, Yang Y, Kelly LJ, Yang J, Huang JL, Li Z, Liu P, Zhang L, Liu HM, Wang H, Deng SH, Liu M, Li J, Ma L, Liu Y, Lei Y, Xu W, Wu LQ, Liu F, Ma Q, Yu XR, Jiang Z, Zhang GQ, Li SH, Li RQ, Zhang SZ, Wang QF, Van de Peer Y, Zhang JB, Wang XM. A genome for gnetophytes and early evolution of seed plants. Nat Plants 2018; 4:82-89. [PMID: 29379155 DOI: 10.1038/s41477-017-0097-2] [Citation(s) in RCA: 99] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Accepted: 12/27/2017] [Indexed: 05/07/2023]
Abstract
Gnetophytes are an enigmatic gymnosperm lineage comprising three genera, Gnetum, Welwitschia and Ephedra, which are morphologically distinct from all other seed plants. Their distinctiveness has triggered much debate as to their origin, evolution and phylogenetic placement among seed plants. To increase our understanding of the evolution of gnetophytes, and their relation to other seed plants, we report here a high-quality draft genome sequence for Gnetum montanum, the first for any gnetophyte. By using a novel genome assembly strategy to deal with high levels of heterozygosity, we assembled >4 Gb of sequence encoding 27,491 protein-coding genes. Comparative analysis of the G. montanum genome with other gymnosperm genomes unveiled some remarkable and distinctive genomic features, such as a diverse assemblage of retrotransposons with evidence for elevated frequencies of elimination rather than accumulation, considerable differences in intron architecture, including both length distribution and proportions of (retro) transposon elements, and distinctive patterns of proliferation of functional protein domains. Furthermore, a few gene families showed Gnetum-specific copy number expansions (for example, cellulose synthase) or contractions (for example, Late Embryogenesis Abundant protein), which could be connected with Gnetum's distinctive morphological innovations associated with their adaptation to warm, mesic environments. Overall, the G. montanum genome enables a better resolution of ancestral genomic features within seed plants, and the identification of genomic characters that distinguish Gnetum from other gymnosperms.
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Affiliation(s)
- Tao Wan
- Key Laboratory of Southern Subtropical Plant Diversity, Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Science, Shenzhen, China
- Sino-Africa Joint Research Centre, Chinese Academy of Science, Wuhan, China
| | - Zhi-Ming Liu
- Novogene Bioinformatics Institute, Beijing, China
| | - Ling-Fei Li
- Key Laboratory of Southern Subtropical Plant Diversity, Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Science, Shenzhen, China
| | - Andrew R Leitch
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | | | - Rolf Lohaus
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- Centre for Plant Systems Biology, VIB, Ghent, Belgium
| | - Zhong-Jian Liu
- Shenzhen Key Laboratory for Orchid Conservation and Utilization, National Orchid Conservation Centre of China and Orchid Conservation and Research Centre, Shenzhen, China
| | - Hai-Ping Xin
- Sino-Africa Joint Research Centre, Chinese Academy of Science, Wuhan, China
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
| | - Yan-Bing Gong
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China
| | - Yang Liu
- Key Laboratory of Southern Subtropical Plant Diversity, Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Science, Shenzhen, China
| | - Wen-Cai Wang
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | - Ling-Yun Chen
- Sino-Africa Joint Research Centre, Chinese Academy of Science, Wuhan, China
- Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
| | - Yong Yang
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Laura J Kelly
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | - Ji Yang
- Education Key Laboratory for Biodiversity Science and Ecological Engineering, Fudan University, Shanghai, China
| | - Jin-Ling Huang
- Institute of Plant Stress Biology, State Key Laboratory of Cotton Biology, Henan University, Kaifeng, China
- Department of Biology, East Carolina University, Greenville, NC, USA
| | - Zhen Li
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- Centre for Plant Systems Biology, VIB, Ghent, Belgium
| | - Ping Liu
- Key Laboratory of Southern Subtropical Plant Diversity, Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Science, Shenzhen, China
| | - Li Zhang
- Key Laboratory of Southern Subtropical Plant Diversity, Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Science, Shenzhen, China
| | - Hong-Mei Liu
- Key Laboratory of Southern Subtropical Plant Diversity, Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Science, Shenzhen, China
| | - Hui Wang
- Key Laboratory of Southern Subtropical Plant Diversity, Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Science, Shenzhen, China
| | - Shu-Han Deng
- Novogene Bioinformatics Institute, Beijing, China
| | - Meng Liu
- Novogene Bioinformatics Institute, Beijing, China
| | - Ji Li
- Novogene Bioinformatics Institute, Beijing, China
| | - Lu Ma
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | - Yan Liu
- Novogene Bioinformatics Institute, Beijing, China
| | - Yang Lei
- Novogene Bioinformatics Institute, Beijing, China
| | - Wei Xu
- Novogene Bioinformatics Institute, Beijing, China
| | - Ling-Qing Wu
- Novogene Bioinformatics Institute, Beijing, China
| | - Fan Liu
- Sino-Africa Joint Research Centre, Chinese Academy of Science, Wuhan, China
| | - Qian Ma
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China
| | - Xin-Ran Yu
- Novogene Bioinformatics Institute, Beijing, China
| | - Zhi Jiang
- Novogene Bioinformatics Institute, Beijing, China
| | - Guo-Qiang Zhang
- Shenzhen Key Laboratory for Orchid Conservation and Utilization, National Orchid Conservation Centre of China and Orchid Conservation and Research Centre, Shenzhen, China
| | - Shao-Hua Li
- Beijing Key Laboratory of Grape Sciences and Enology, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Rui-Qiang Li
- Novogene Bioinformatics Institute, Beijing, China
| | - Shou-Zhou Zhang
- Key Laboratory of Southern Subtropical Plant Diversity, Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Science, Shenzhen, China
| | - Qing-Feng Wang
- Sino-Africa Joint Research Centre, Chinese Academy of Science, Wuhan, China.
- Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China.
| | - Yves Van de Peer
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
- Centre for Plant Systems Biology, VIB, Ghent, Belgium.
- Genomics Research Institute, University of Pretoria, Pretoria, South Africa.
| | - Jin-Bo Zhang
- Novogene Bioinformatics Institute, Beijing, China.
| | - Xiao-Ming Wang
- Key Laboratory of Southern Subtropical Plant Diversity, Fairy Lake Botanical Garden, Shenzhen & Chinese Academy of Science, Shenzhen, China.
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Zhang JB, Zhang L, Li SQ, Hou AH, Liu WC, Dai LL. Tubeimoside I attenuates inflammation and oxidative damage in a mice model of PM 2.5-induced pulmonary injury. Exp Ther Med 2017; 15:1602-1607. [PMID: 29434745 DOI: 10.3892/etm.2017.5597] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2016] [Accepted: 10/20/2017] [Indexed: 01/20/2023] Open
Abstract
In the present study, the effects of tubeimoside I (TBMS1) on particulate matter <2.5 µm in diameter (PM2.5)-induced pulmonary injury and its mechanisms of action were investigated. Male BALB/c mice were randomly assigned into five groups (n=10/group): Control, PM2.5, PM2.5 + TBMS1 45 mg/kg, PM2.5 + TBMS1 90 mg/kg and PM2.5 + TBMS1 180 mg/kg. The dose of the PM2.5 suspension administered to the mice was 40 mg/kg via nasal instillation. The PM2.5 + TBMS1 groups received TBMS1 daily orally for 21 consecutive days, while the mice in the control and PM2.5 groups received equivalent volumes of PBS. Subsequently, lactic dehydrogenase, acid phosphatase, alkaline phosphatase, albumin, tumor necrosis factor-α and interleukin-6 protein levels in bronchoalveolar lavage fluid were determined. Oxidative stress was evaluated by detecting the protein levels of malondialdehyde, superoxide dismutase and inducible nitric oxide synthase, and the level of nitric oxide in lung tissue. Lastly, histopathological images of lung sections were obtained to observe changes in the lung tissue with treatment. The results indicated that exposure to PM2.5 induced pathological pulmonary changes, and biofilm and parenchymal cell damage, and promoted inflammation and oxidative stress. Treatment with TBMS1 attenuated the development of PM2.5-induced pulmonary injury. Its mechanisms of action were associated with reducing cytotoxic effects, levels of inflammatory mediators and oxidative damage. In conclusion, the results of the present study indicate that TBMS1 is a potential therapeutic drug for treating PM2.5-induced pulmonary injury.
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Affiliation(s)
- Jin-Bo Zhang
- Center of Preventive Treatment of Disease, Yantai Hospital of Traditional Chinese Medicine, Yantai, Shandong 264000, P.R. China
| | - Lei Zhang
- Department of Heart Disease, Yantai Hospital of Traditional Chinese Medicine, Yantai, Shandong 264000, P.R. China
| | - Shi-Qing Li
- Department of Encephalopathy, Yantai Hospital of Traditional Chinese Medicine, Yantai, Shandong 264000, P.R. China
| | - Ai-Hua Hou
- Department of Oncology, Yantai Hospital of Traditional Chinese Medicine, Yantai, Shandong 264000, P.R. China
| | - Wei-Chao Liu
- Center of Preventive Treatment of Disease, Yantai Hospital of Traditional Chinese Medicine, Yantai, Shandong 264000, P.R. China
| | - Ling-Ling Dai
- Department of Oncology, Yantai Hospital of Traditional Chinese Medicine, Yantai, Shandong 264000, P.R. China
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Xiao SF, Zhao X, Zhang JB, Shen H, Zhao EM. [Clinical observation of coblation assisted transoral microsurgery for the treatment of oral and oropharygneal malignancy]. Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2017; 31:1705-1710. [PMID: 29798180 DOI: 10.13201/j.issn.1001-1781.2017.22.001] [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] [Received: 09/11/2017] [Indexed: 11/12/2022]
Abstract
Objective:To evaluate the feasibility and effectiveness of coblation assisted transoral surgery for the treatment of oral and oropharyngeal malignancy. Method:19 patients who suffered from oral or oropharyngeal malignant tumors underwent coblation assisted transoral surgery from August 2008 to August 2017 were studied. According to the tumor sites and pathological results, there were four oral squamous cell carcinoma (SCC) (two tongue carcinoma and two mouth floor carcinoma), eleven oropharygneal SCC (five tonsillar carcinoma, four soft palate carcinoma, one tongue base cartinama and one multiple carcinoma invading both soft palatine and hypopharynx), and four lymphatic and hematopoietic malignancies (three tonsillar tumors and one tumor invading both tonsil and tongue base). According to AJCC guideline, the stages of four oral SCC were T₁N₀M₀, T₁N₂M₀, T₂N₁M₀, and T₂N₂M₀ respectively; while the stages of eleven orophygneal SCC were T₁N₀M₀ for 5 patients, T₂N₀M₀ for 4 patients, T₂N₁M₀ for one patient, and T₂N₂M₀ for one patient respectively. Result:Among the 19 patients studied, concurrent neck dissections and tracheotomies were performed in six and four patients respectively. For all the transoral procedures, the blood loss could be controlled within 20 ml, while the operative time were controlled within two hours. 13 patients started oral feeding the day they were operated on. All of the four patients who underwent the tracheotomy could be decannulated successfully after surgery. Four patients diagnosed as lymphatic and hematopoietic malignancies turned to hematology department for further treatments. For the remaining 15 SCC patients, 14 were followed up successfully with one loss to follow-up: the follow up time ranged from 6 to 108 months, during these times, one patient with multiple carcinomas invading the soft palate and hypopharynx had developed new carcinomas located in contralateral hypopharynx and esophagus and had the metastasis in cervical lymph nodes 5 months after surgery, another patient with soft palate carcinoma had the metastasis in cervical lymph nodes 18 months after surgery. Two patients died because of intracranial hemorrhage and cardiovascular event 5 and 12 months after surgery respectively. The three years' tumor free survival and overall survival rates calculated by Kaplan-Meier method were 75.0% and 77.9% respectively. All patients had no severe dysfunctions for swallow, speech and breathing related to the surgery. Conclusion:Radiofrenquency coblation assisted transoral surgery for oral and oropharygneal carcinoma has definite therapeutic effect. Most cases can avoid open surgery and tracheotomy.The advantages are blood control, simplifing surgery,shortening operational time,faster recovery, lower incidence of complications and better preservation of organ function.
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Affiliation(s)
- S F Xiao
- Department of Otorhinolaryngology Head and Neck Surgery, Peking University First Hospital, Beijing, 100034, China
| | - X Zhao
- Department of Otorhinolaryngology Head and Neck Surgery, Peking University First Hospital, Beijing, 100034, China
| | - J B Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, Peking University First Hospital, Beijing, 100034, China
| | - H Shen
- Department of Otorhinolaryngology Head and Neck Surgery, Peking University First Hospital, Beijing, 100034, China
| | - E M Zhao
- Department of Otorhinolaryngology Head and Neck Surgery, Peking University First Hospital, Beijing, 100034, China
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Adamczyk L, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aoyama R, Aparin A, Arkhipkin D, Aschenauer EC, Ashraf MU, Attri A, Averichev GS, Bai X, Bairathi V, Bellwied R, Bhasin A, Bhati AK, Bhattarai P, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Bouchet J, Brandenburg JD, Brandin AV, Brown D, Bunzarov I, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Campbell JM, Cebra D, Chakaberia I, Chaloupka P, Chang Z, Chatterjee A, Chattopadhyay S, Chen JH, Chen X, Cheng J, Cherney M, Christie W, Contin G, Crawford HJ, Das S, De Silva LC, Debbe RR, Dedovich TG, Deng J, Derevschikov AA, Didenko L, Dilks C, Dong X, Drachenberg JL, Draper JE, Du CM, Dunkelberger LE, Dunlop JC, Efimov LG, Elsey N, Engelage J, Eppley G, Esha R, Esumi S, Evdokimov O, Ewigleben J, Eyser O, Fatemi R, Fazio S, Federic P, Fedorisin J, Feng Z, Filip P, Finch E, Fisyak Y, Flores CE, Fulek L, Gagliardi CA, Garand D, Geurts F, Gibson A, Girard M, Greiner L, Grosnick D, Gunarathne DS, Guo Y, Gupta A, Gupta S, Guryn W, Hamad AI, Hamed A, Haque R, Harris JW, He L, Heppelmann S, Heppelmann S, Hirsch A, Hoffmann GW, Horvat S, Huang X, Huang B, Huang HZ, Huang T, Huck P, Humanic TJ, Igo G, Jacobs WW, Jentsch A, Jia J, Jiang K, Jowzaee S, Judd EG, Kabana S, Kalinkin D, Kang K, Kauder K, Ke HW, Keane D, Kechechyan A, Khan Z, Kikoła DP, Kisel I, Kisiel A, Kochenda L, Koetke DD, Kosarzewski LK, Kraishan AF, Kravtsov P, Krueger K, Kumar L, Lamont MAC, Landgraf JM, Landry KD, Lauret J, Lebedev A, Lednicky R, Lee JH, Li W, Li X, Li X, Li Y, Li C, Lin T, Lisa MA, Liu Y, Liu F, Ljubicic T, Llope WJ, Lomnitz M, Longacre RS, Luo X, Luo S, Ma GL, Ma L, Ma R, Ma YG, Magdy N, Majka R, Manion A, Margetis S, Markert C, Matis HS, McDonald D, McKinzie S, Meehan K, Mei JC, Miller ZW, Minaev NG, Mioduszewski S, Mishra D, Mohanty B, Mondal MM, Morozov DA, Mustafa MK, Nasim M, Nayak TK, Nigmatkulov G, Niida T, Nogach LV, Nonaka T, Novak J, Nurushev SB, Odyniec G, Ogawa A, Oh K, Okorokov VA, Olvitt D, Page BS, Pak R, Pan YX, Pandit Y, Panebratsev Y, Pawlik B, Pei H, Perkins C, Pile P, Pluta J, Poniatowska K, Porter J, Posik M, Poskanzer AM, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Ramachandran S, Ray RL, Reed R, Rehbein MJ, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Roth JD, Ruan L, Rusnak J, Rusnakova O, Sahoo NR, Sahu PK, Sakrejda I, Salur S, Sandweiss J, Schambach J, Scharenberg RP, Schmah AM, Schmidke WB, Schmitz N, Seger J, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sharma MK, Sharma A, Sharma B, Shen WQ, Shi SS, Shi Z, Shou QY, Sichtermann EP, Sikora R, Simko M, Singha S, Skoby MJ, Smirnov D, Smirnov N, Solyst W, Song L, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stepanov M, Stock R, Strikhanov M, Stringfellow B, Sugiura T, Sumbera M, Summa B, Sun XM, Sun Z, Sun Y, Surrow B, Svirida DN, Tang Z, Tang AH, Tarnowsky T, Tawfik A, Thäder J, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Tsai OD, Ullrich T, Underwood DG, Upsal I, Van Buren G, van Nieuwenhuizen G, Vasiliev AN, Vertesi R, Videbæk F, Vokal S, Voloshin SA, Vossen A, Wang F, Wang JS, Wang G, Wang Y, Wang Y, Webb G, Webb JC, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu Y, Xiao ZG, Xie G, Xie W, Xin K, Xu QH, Xu H, Xu YF, Xu Z, Xu J, Xu N, Yang S, Yang Q, Yang Y, Yang C, Yang Y, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yoo IK, Yu N, Zbroszczyk H, Zha W, Zhang XP, Zhang J, Zhang J, Zhang Z, Zhang S, Zhang JB, Zhang Y, Zhang S, Zhao J, Zhong C, Zhou L, Zhu X, Zoulkarneeva Y, Zyzak M. Dijet imbalance measurements in Au+Au and pp collisions at sqrt[s_{NN}]=200 GeV at STAR. Phys Rev Lett 2017; 119:062301. [PMID: 28949601 DOI: 10.1103/physrevlett.119.062301] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Indexed: 06/07/2023]
Abstract
We report the first dijet transverse momentum asymmetry measurements from Au+Au and pp collisions at RHIC. The two highest-energy back-to-back jets reconstructed from fragments with transverse momenta above 2 GeV/c display a significantly higher momentum imbalance in heavy-ion collisions than in the pp reference. When reexamined with correlated soft particles included, we observe that these dijets then exhibit a unique new feature-momentum balance is restored to that observed in pp for a jet resolution parameter of R=0.4, while rebalancing is not attained with a smaller value of R=0.2.
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Affiliation(s)
- L Adamczyk
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J K Adkins
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - R Aoyama
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - D Arkhipkin
- Brookhaven National Laboratory, Upton, New York 11973
| | | | | | - A Attri
- Panjab University, Chandigarh 160014, India
| | - G S Averichev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - X Bai
- Central China Normal University, Wuhan, Hubei 430079
| | - V Bairathi
- National Institute of Science Education and Research, Bhubaneswar 751005, India
| | - R Bellwied
- University of Houston, Houston, Texas 77204
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - A K Bhati
- Panjab University, Chandigarh 160014, India
| | | | - J Bielcik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J Bielcikova
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - L C Bland
- Brookhaven National Laboratory, Upton, New York 11973
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
| | - J Bouchet
- Kent State University, Kent, Ohio 44242
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D Brown
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - I Bunzarov
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | | | - D Cebra
- University of California, Davis, California 95616
| | - I Chakaberia
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Chaloupka
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - Z Chang
- Texas A&M University, College Station, Texas 77843
| | - A Chatterjee
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | | | - J H Chen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Chen
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - M Cherney
- Creighton University, Omaha, Nebraska 68178
| | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - G Contin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - S Das
- Institute of Physics, Bhubaneswar 751005, India
| | | | - R R Debbe
- Brookhaven National Laboratory, Upton, New York 11973
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - J Deng
- Shandong University, Jinan, Shandong 250100
| | | | - L Didenko
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Dilks
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - J E Draper
- University of California, Davis, California 95616
| | - C M Du
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - L G Efimov
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - N Elsey
- Wayne State University, Detroit, Michigan 48201
| | - J Engelage
- University of California, Berkeley, California 94720
| | - G Eppley
- Rice University, Houston, Texas 77251
| | - R Esha
- University of California, Los Angeles, California 90095
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - J Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - S Fazio
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Federic
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - J Fedorisin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - Z Feng
- Central China Normal University, Wuhan, Hubei 430079
| | - P Filip
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973
| | - C E Flores
- University of California, Davis, California 95616
| | - L Fulek
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | | | - D Garand
- Purdue University, West Lafayette, Indiana 47907
| | - F Geurts
- Rice University, Houston, Texas 77251
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383
| | - M Girard
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - L Greiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383
| | | | - Y Guo
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A Gupta
- University of Jammu, Jammu 180001, India
| | - S Gupta
- University of Jammu, Jammu 180001, India
| | - W Guryn
- Brookhaven National Laboratory, Upton, New York 11973
| | - A I Hamad
- Kent State University, Kent, Ohio 44242
| | - A Hamed
- Texas A&M University, College Station, Texas 77843
| | - R Haque
- National Institute of Science Education and Research, Bhubaneswar 751005, India
| | - J W Harris
- Yale University, New Haven, Connecticut 06520
| | - L He
- Purdue University, West Lafayette, Indiana 47907
| | - S Heppelmann
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - S Heppelmann
- University of California, Davis, California 95616
| | - A Hirsch
- Purdue University, West Lafayette, Indiana 47907
| | | | - S Horvat
- Yale University, New Haven, Connecticut 06520
| | - X Huang
- Tsinghua University, Beijing 100084
| | - B Huang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - H Z Huang
- University of California, Los Angeles, California 90095
| | - T Huang
- National Cheng Kung University, Tainan 70101
| | - P Huck
- Central China Normal University, Wuhan, Hubei 430079
| | - T J Humanic
- The Ohio State University, Columbus, Ohio 43210
| | - G Igo
- University of California, Los Angeles, California 90095
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408
| | - A Jentsch
- University of Texas, Austin, Texas 78712
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973
- State University Of New York, Stony Brook, New York 11794
| | - K Jiang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Jowzaee
- Wayne State University, Detroit, Michigan 48201
| | - E G Judd
- University of California, Berkeley, California 94720
| | - S Kabana
- Kent State University, Kent, Ohio 44242
| | - D Kalinkin
- Indiana University, Bloomington, Indiana 47408
| | - K Kang
- Tsinghua University, Beijing 100084
| | - K Kauder
- Wayne State University, Detroit, Michigan 48201
| | - H W Ke
- Brookhaven National Laboratory, Upton, New York 11973
| | - D Keane
- Kent State University, Kent, Ohio 44242
| | - A Kechechyan
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - Z Khan
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - D P Kikoła
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - I Kisel
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - A Kisiel
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D D Koetke
- Valparaiso University, Valparaiso, Indiana 46383
| | | | - A F Kraishan
- Temple University, Philadelphia, Pennsylvania 19122
| | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - K Krueger
- Argonne National Laboratory, Argonne, Illinois 60439
| | - L Kumar
- Panjab University, Chandigarh 160014, India
| | - M A C Lamont
- Brookhaven National Laboratory, Upton, New York 11973
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973
| | - K D Landry
- University of California, Los Angeles, California 90095
| | - J Lauret
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Lebedev
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Lednicky
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973
| | - W Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Li
- Temple University, Philadelphia, Pennsylvania 19122
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- Tsinghua University, Beijing 100084
| | - C Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - T Lin
- Indiana University, Bloomington, Indiana 47408
| | - M A Lisa
- The Ohio State University, Columbus, Ohio 43210
| | - Y Liu
- Texas A&M University, College Station, Texas 77843
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201
| | - M Lomnitz
- Kent State University, Kent, Ohio 44242
| | - R S Longacre
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Luo
- Central China Normal University, Wuhan, Hubei 430079
| | - S Luo
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - G L Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - L Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y G Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - N Magdy
- State University Of New York, Stony Brook, New York 11794
| | - R Majka
- Yale University, New Haven, Connecticut 06520
| | - A Manion
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - C Markert
- University of Texas, Austin, Texas 78712
| | - H S Matis
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - D McDonald
- University of Houston, Houston, Texas 77204
| | - S McKinzie
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K Meehan
- University of California, Davis, California 95616
| | - J C Mei
- Shandong University, Jinan, Shandong 250100
| | - Z W Miller
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - N G Minaev
- Institute of High Energy Physics, Protvino 142281, Russia
| | | | - D Mishra
- National Institute of Science Education and Research, Bhubaneswar 751005, India
| | - B Mohanty
- National Institute of Science Education and Research, Bhubaneswar 751005, India
| | - M M Mondal
- Texas A&M University, College Station, Texas 77843
| | - D A Morozov
- Institute of High Energy Physics, Protvino 142281, Russia
| | - M K Mustafa
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Md Nasim
- University of California, Los Angeles, California 90095
| | - T K Nayak
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - G Nigmatkulov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Niida
- Wayne State University, Detroit, Michigan 48201
| | - L V Nogach
- Institute of High Energy Physics, Protvino 142281, Russia
| | - T Nonaka
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - J Novak
- Michigan State University, East Lansing, Michigan 48824
| | - S B Nurushev
- Institute of High Energy Physics, Protvino 142281, Russia
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Ogawa
- Brookhaven National Laboratory, Upton, New York 11973
| | - K Oh
- Pusan National University, Pusan 46241, Korea
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D Olvitt
- Temple University, Philadelphia, Pennsylvania 19122
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y X Pan
- University of California, Los Angeles, California 90095
| | - Y Pandit
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - Y Panebratsev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - B Pawlik
- Institute of Nuclear Physics PAN, Cracow 31-342, Poland
| | - H Pei
- Central China Normal University, Wuhan, Hubei 430079
| | - C Perkins
- University of California, Berkeley, California 94720
| | - P Pile
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Pluta
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - K Poniatowska
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - J Porter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122
| | - A M Poskanzer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - M Przybycien
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201
| | - H Qiu
- Purdue University, West Lafayette, Indiana 47907
| | - A Quintero
- Temple University, Philadelphia, Pennsylvania 19122
| | | | - R L Ray
- University of Texas, Austin, Texas 78712
| | - R Reed
- Lehigh University, Bethlehem, Pennsylvania 18015
- Lehigh University, Bethlehem, Pennsylvnia 18015
| | | | - H G Ritter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | - J L Romero
- University of California, Davis, California 95616
| | - J D Roth
- Creighton University, Omaha, Nebraska 68178
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Rusnak
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - O Rusnakova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - N R Sahoo
- Texas A&M University, College Station, Texas 77843
| | - P K Sahu
- Institute of Physics, Bhubaneswar 751005, India
| | - I Sakrejda
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S Salur
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J Sandweiss
- Yale University, New Haven, Connecticut 06520
| | | | | | - A M Schmah
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Schmitz
- Max-Planck-Institut fur Physik, Munich 80805, Germany
| | - J Seger
- Creighton University, Omaha, Nebraska 68178
| | - P Seyboth
- Max-Planck-Institut fur Physik, Munich 80805, Germany
| | - N Shah
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - M Shao
- University of Science and Technology of China, Hefei, Anhui 230026
| | - M K Sharma
- University of Jammu, Jammu 180001, India
| | - A Sharma
- University of Jammu, Jammu 180001, India
| | - B Sharma
- Panjab University, Chandigarh 160014, India
| | - W Q Shen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079
| | - Z Shi
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Q Y Shou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - E P Sichtermann
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - R Sikora
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - M Simko
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - S Singha
- Kent State University, Kent, Ohio 44242
| | - M J Skoby
- Indiana University, Bloomington, Indiana 47408
| | - D Smirnov
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Smirnov
- Yale University, New Haven, Connecticut 06520
| | - W Solyst
- Indiana University, Bloomington, Indiana 47408
| | - L Song
- University of Houston, Houston, Texas 77204
| | - P Sorensen
- Brookhaven National Laboratory, Upton, New York 11973
| | - H M Spinka
- Argonne National Laboratory, Argonne, Illinois 60439
| | - B Srivastava
- Purdue University, West Lafayette, Indiana 47907
| | | | - M Stepanov
- Purdue University, West Lafayette, Indiana 47907
| | - R Stock
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - M Strikhanov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - T Sugiura
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - M Sumbera
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - B Summa
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - X M Sun
- Central China Normal University, Wuhan, Hubei 430079
| | - Z Sun
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Tarnowsky
- Michigan State University, East Lansing, Michigan 48824
| | - A Tawfik
- World Laboratory for Cosmology and Particle Physics (WLCAPP), Cairo 11571, Egypt
| | - J Thäder
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - D Tlusty
- Rice University, Houston, Texas 77251
| | - T Todoroki
- Brookhaven National Laboratory, Upton, New York 11973
| | - M Tokarev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - S Trentalange
- University of California, Los Angeles, California 90095
| | - R E Tribble
- Texas A&M University, College Station, Texas 77843
| | - P Tribedy
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - O D Tsai
- University of California, Los Angeles, California 90095
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439
| | - I Upsal
- The Ohio State University, Columbus, Ohio 43210
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - A N Vasiliev
- Institute of High Energy Physics, Protvino 142281, Russia
| | - R Vertesi
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Vokal
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - A Vossen
- Indiana University, Bloomington, Indiana 47408
| | - F Wang
- Purdue University, West Lafayette, Indiana 47907
| | - J S Wang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - G Wang
- University of California, Los Angeles, California 90095
| | - Y Wang
- Tsinghua University, Beijing 100084
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079
| | - G Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | - J C Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | - L Wen
- University of California, Los Angeles, California 90095
| | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408
| | - R Witt
- United States Naval Academy, Annapolis, Maryland 21402
| | - Y Wu
- Kent State University, Kent, Ohio 44242
| | - Z G Xiao
- Tsinghua University, Beijing 100084
| | - G Xie
- University of Science and Technology of China, Hefei, Anhui 230026
| | - W Xie
- Purdue University, West Lafayette, Indiana 47907
| | - K Xin
- Rice University, Houston, Texas 77251
| | - Q H Xu
- Shandong University, Jinan, Shandong 250100
| | - H Xu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y F Xu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Xu
- Central China Normal University, Wuhan, Hubei 430079
| | - N Xu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S Yang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Q Yang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Yang
- National Cheng Kung University, Tainan 70101
| | - C Yang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Yang
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Yang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - L Yi
- Yale University, New Haven, Connecticut 06520
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973
| | - I-K Yoo
- Pusan National University, Pusan 46241, Korea
| | - N Yu
- Central China Normal University, Wuhan, Hubei 430079
| | - H Zbroszczyk
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026
| | | | - J Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - J Zhang
- Shandong University, Jinan, Shandong 250100
| | - Z Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - S Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J B Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - J Zhao
- Purdue University, West Lafayette, Indiana 47907
| | - C Zhong
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - L Zhou
- University of Science and Technology of China, Hefei, Anhui 230026
| | - X Zhu
- Tsinghua University, Beijing 100084
| | - Y Zoulkarneeva
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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Jia JX, Liu YH, Zhang JB, Qu LL. [Minor salivary duct carcinoma of the larynx: a case report]. Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2017; 31:1132-1133. [PMID: 29798259 DOI: 10.13201/j.issn.1001-1781.2017.14.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Indexed: 11/12/2022]
Abstract
Salivary duct carcinoma SDC is a rare disease, especially in the larynx. From the pathology point of view, SDC histomorphology is very similar to breast ductal carcinoma. From the immunohistochemistry, epithelial antibodies are positive, but the SMA is negative. From the review of papers, total resection is the first choice for the treatment, but the local recurrence and distant metastasis are the main influence factors for survival rate. Now we still lack the clinical experience for such disease.
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Shi YZ, Xiong S, Chin LK, Yang Y, Zhang JB, Ser W, Wu JH, Chen TN, Yang ZC, Hao YL, Liedberg B, Yap PH, Zhang Y, Liu AQ. High-resolution and multi-range particle separation by microscopic vibration in an optofluidic chip. Lab Chip 2017. [PMID: 28634603 DOI: 10.1039/c7lc00484b] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
An optofluidic chip is demonstrated in experiments for high-resolution and multi-range particle separation through the optically-induced microscopic vibration effect, where nanoparticles are trapped in loosely overdamped optical potential wells created with combined optical and fluidic constraints. It is the first demonstration of separating single nanoparticles with diameters ranging from 60 to 100 nm with a resolution of 10 nm. Nanoparticles vibrate with an amplitude of 3-7 μm in the loosely overdamped potential wells in the microchannel. The proposed optofluidic device is capable of high-resolution particle separation at both nanoscale and microscale without reconfiguring the device. The separation of bacteria from other larger cells is accomplished using the same chip and operation conditions. The unique trapping mechanism and the superb performance in high-resolution and multi-range particle separation of the proposed optofluidic chip promise great potential for a diverse range of biomedical applications.
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Affiliation(s)
- Y Z Shi
- School of Mechanical Engineering, Xi'an Jiao Tong University, Xian 710049, China
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Adamczyk L, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Ajitanand NN, Alekseev I, Anderson DM, Aoyama R, Aparin A, Arkhipkin D, Aschenauer EC, Ashraf MU, Attri A, Averichev GS, Bai X, Bairathi V, Behera A, Bellwied R, Bhasin A, Bhati AK, Bhattarai P, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Bouchet J, Brandenburg JD, Brandin AV, Brown D, Bunzarov I, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Campbell JM, Cebra D, Chakaberia I, Chaloupka P, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen X, Chen JH, Chen X, Cheng J, Cherney M, Christie W, Contin G, Crawford HJ, Das S, De Silva LC, Debbe RR, Dedovich TG, Deng J, Derevschikov AA, Didenko L, Dilks C, Dong X, Drachenberg JL, Draper JE, Dunkelberger LE, Dunlop JC, Efimov LG, Elsey N, Engelage J, Eppley G, Esha R, Esumi S, Evdokimov O, Ewigleben J, Eyser O, Fatemi R, Fazio S, Federic P, Federicova P, Fedorisin J, Feng Z, Filip P, Finch E, Fisyak Y, Flores CE, Fulek L, Gagliardi CA, Garand D, Geurts F, Gibson A, Girard M, Greiner L, Grosnick D, Gunarathne DS, Guo Y, Gupta A, Gupta S, Guryn W, Hamad AI, Hamed A, Harlenderova A, Harris JW, He L, Heppelmann S, Heppelmann S, Hirsch A, Hoffmann GW, Horvat S, Huang T, Huang B, Huang X, Huang HZ, Humanic TJ, Huo P, Igo G, Jacobs WW, Jentsch A, Jia J, Jiang K, Jowzaee S, Judd EG, Kabana S, Kalinkin D, Kang K, Kauder K, Ke HW, Keane D, Kechechyan A, Khan Z, Kikoła DP, Kisel I, Kisiel A, Kochenda L, Kocmanek M, Kollegger T, Kosarzewski LK, Kraishan AF, Kravtsov P, Krueger K, Kulathunga N, Kumar L, Kvapil J, Kwasizur JH, Lacey R, Landgraf JM, Landry KD, Lauret J, Lebedev A, Lednicky R, Lee JH, Li X, Li C, Li W, Li Y, Lidrych J, Lin T, Lisa MA, Liu H, Liu P, Liu Y, Liu F, Ljubicic T, Llope WJ, Lomnitz M, Longacre RS, Luo S, Luo X, Ma GL, Ma L, Ma YG, Ma R, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Meehan K, Mei JC, Miller ZW, Minaev NG, Mioduszewski S, Mishra D, Mizuno S, Mohanty B, Mondal MM, Morozov DA, Mustafa MK, Nasim M, Nayak TK, Nelson JM, Nie M, Nigmatkulov G, Niida T, Nogach LV, Nonaka T, Nurushev SB, Odyniec G, Ogawa A, Oh K, Okorokov VA, Olvitt D, Page BS, Pak R, Pandit Y, Panebratsev Y, Pawlik B, Pei H, Perkins C, Pile P, Pluta J, Poniatowska K, Porter J, Posik M, Poskanzer AM, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Ramachandran S, Ray RL, Reed R, Rehbein MJ, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Roth JD, Ruan L, Rusnak J, Rusnakova O, Sahoo NR, Sahu PK, Salur S, Sandweiss J, Saur M, Schambach J, Schmah AM, Schmidke WB, Schmitz N, Schweid BR, Seger J, Sergeeva M, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sharma A, Sharma MK, Shen WQ, Shi Z, Shi SS, Shou QY, Sichtermann EP, Sikora R, Simko M, Singha S, Skoby MJ, Smirnov N, Smirnov D, Solyst W, Song L, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Strikhanov M, Stringfellow B, Sugiura T, Sumbera M, Summa B, Sun Y, Sun XM, Sun X, Surrow B, Svirida DN, Szelezniak MA, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Tawfik A, Thäder J, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Trzeciak BA, Tsai OD, Ullrich T, Underwood DG, Upsal I, Van Buren G, van Nieuwenhuizen G, Vasiliev AN, Videbæk F, Vokal S, Voloshin SA, Vossen A, Wang G, Wang Y, Wang F, Wang Y, Webb JC, Webb G, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu Y, Xiao ZG, Xie W, Xie G, Xu J, Xu N, Xu QH, Xu YF, Xu Z, Yang Y, Yang Q, Yang C, Yang S, Ye Z, Ye Z, Yi L, Yip K, Yoo IK, Yu N, Zbroszczyk H, Zha W, Zhang Z, Zhang XP, Zhang JB, Zhang S, Zhang J, Zhang Y, Zhang J, Zhang S, Zhao J, Zhong C, Zhou L, Zhou C, Zhu X, Zhu Z, Zyzak M. Measurement of D^{0} Azimuthal Anisotropy at Midrapidity in Au+Au Collisions at sqrt[s_{NN}]=200 GeV. Phys Rev Lett 2017; 118:212301. [PMID: 28598664 DOI: 10.1103/physrevlett.118.212301] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Indexed: 06/07/2023]
Abstract
We report the first measurement of the elliptic anisotropy (v_{2}) of the charm meson D^{0} at midrapidity (|y|<1) in Au+Au collisions at sqrt[s_{NN}]=200 GeV. The measurement was conducted by the STAR experiment at RHIC utilizing a new high-resolution silicon tracker. The measured D^{0} v_{2} in 0%-80% centrality Au+Au collisions can be described by a viscous hydrodynamic calculation for a transverse momentum (p_{T}) of less than 4 GeV/c. The D^{0} v_{2} as a function of transverse kinetic energy (m_{T}-m_{0}, where m_{T}=sqrt[p_{T}^{2}+m_{0}^{2}]) is consistent with that of light mesons in 10%-40% centrality Au+Au collisions. These results suggest that charm quarks have achieved local thermal equilibrium with the medium created in such collisions. Several theoretical models, with the temperature-dependent, dimensionless charm spatial diffusion coefficient (2πTD_{s}) in the range of ∼2-12, are able to simultaneously reproduce our D^{0} v_{2} result and our previously published results for the D^{0} nuclear modification factor.
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Affiliation(s)
- L Adamczyk
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J K Adkins
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - N N Ajitanand
- State University of New York, Stony Brook, New York 11794
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - R Aoyama
- University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - D Arkhipkin
- Brookhaven National Laboratory, Upton, New York 11973
| | | | | | - A Attri
- Panjab University, Chandigarh 160014, India
| | - G S Averichev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - X Bai
- Central China Normal University, Wuhan, Hubei 430079
| | - V Bairathi
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - A Behera
- State University of New York, Stony Brook, New York 11794
| | - R Bellwied
- University of Houston, Houston, Texas 77204
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - A K Bhati
- Panjab University, Chandigarh 160014, India
| | | | - J Bielcik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J Bielcikova
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - L C Bland
- Brookhaven National Laboratory, Upton, New York 11973
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
| | - J Bouchet
- Kent State University, Kent, Ohio 44242
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D Brown
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - I Bunzarov
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | | | - D Cebra
- University of California, Davis, California 95616
| | - I Chakaberia
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Chaloupka
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - Z Chang
- Texas A&M University, College Station, Texas 77843
| | | | - A Chatterjee
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | | | - X Chen
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J H Chen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Chen
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - M Cherney
- Creighton University, Omaha, Nebraska 68178
| | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - G Contin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - S Das
- Central China Normal University, Wuhan, Hubei 430079
| | | | - R R Debbe
- Brookhaven National Laboratory, Upton, New York 11973
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - J Deng
- Shandong University, Jinan, Shandong 250100
| | | | - L Didenko
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Dilks
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - J E Draper
- University of California, Davis, California 95616
| | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - L G Efimov
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - N Elsey
- Wayne State University, Detroit, Michigan 48201
| | - J Engelage
- University of California, Berkeley, California 94720
| | - G Eppley
- Rice University, Houston, Texas 77251
| | - R Esha
- University of California, Los Angeles, California 90095
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - J Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - S Fazio
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Federic
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - P Federicova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J Fedorisin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - Z Feng
- Central China Normal University, Wuhan, Hubei 430079
| | - P Filip
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973
| | - C E Flores
- University of California, Davis, California 95616
| | - L Fulek
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | | | - D Garand
- Purdue University, West Lafayette, Indiana 47907
| | - F Geurts
- Rice University, Houston, Texas 77251
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383
| | - M Girard
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - L Greiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383
| | | | - Y Guo
- Kent State University, Kent, Ohio 44242
| | - A Gupta
- University of Jammu, Jammu 180001, India
| | - S Gupta
- University of Jammu, Jammu 180001, India
| | - W Guryn
- Brookhaven National Laboratory, Upton, New York 11973
| | - A I Hamad
- Kent State University, Kent, Ohio 44242
| | - A Hamed
- Texas A&M University, College Station, Texas 77843
| | - A Harlenderova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J W Harris
- Yale University, New Haven, Connecticut 06520
| | - L He
- Purdue University, West Lafayette, Indiana 47907
| | - S Heppelmann
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - S Heppelmann
- University of California, Davis, California 95616
| | - A Hirsch
- Purdue University, West Lafayette, Indiana 47907
| | | | - S Horvat
- Yale University, New Haven, Connecticut 06520
| | - T Huang
- National Cheng Kung University, Tainan 70101
| | - B Huang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - X Huang
- Tsinghua University, Beijing 100084
| | - H Z Huang
- University of California, Los Angeles, California 90095
| | | | - P Huo
- State University of New York, Stony Brook, New York 11794
| | - G Igo
- University of California, Los Angeles, California 90095
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408
| | - A Jentsch
- University of Texas, Austin, Texas 78712
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973
- State University of New York, Stony Brook, New York 11794
| | - K Jiang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Jowzaee
- Wayne State University, Detroit, Michigan 48201
| | - E G Judd
- University of California, Berkeley, California 94720
| | - S Kabana
- Kent State University, Kent, Ohio 44242
| | - D Kalinkin
- Indiana University, Bloomington, Indiana 47408
| | - K Kang
- Tsinghua University, Beijing 100084
| | - K Kauder
- Wayne State University, Detroit, Michigan 48201
| | - H W Ke
- Brookhaven National Laboratory, Upton, New York 11973
| | - D Keane
- Kent State University, Kent, Ohio 44242
| | - A Kechechyan
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - Z Khan
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - D P Kikoła
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - I Kisel
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - A Kisiel
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - M Kocmanek
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - T Kollegger
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | | | - A F Kraishan
- Temple University, Philadelphia, Pennsylvania 19122
| | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - K Krueger
- Argonne National Laboratory, Argonne, Illinois 60439
| | | | - L Kumar
- Panjab University, Chandigarh 160014, India
| | - J Kvapil
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | | | - R Lacey
- State University of New York, Stony Brook, New York 11794
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973
| | - K D Landry
- University of California, Los Angeles, California 90095
| | - J Lauret
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Lebedev
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Lednicky
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - C Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - W Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Y Li
- Tsinghua University, Beijing 100084
| | - J Lidrych
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - T Lin
- Indiana University, Bloomington, Indiana 47408
| | - M A Lisa
- Ohio State University, Columbus, Ohio 43210
| | - H Liu
- Indiana University, Bloomington, Indiana 47408
| | - P Liu
- State University of New York, Stony Brook, New York 11794
| | - Y Liu
- Texas A&M University, College Station, Texas 77843
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201
| | - M Lomnitz
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- Brookhaven National Laboratory, Upton, New York 11973
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- University of Illinois at Chicago, Chicago, Illinois 60607
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- Central China Normal University, Wuhan, Hubei 430079
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- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - L Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Y G Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973
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- State University of New York, Stony Brook, New York 11794
| | - R Majka
- Yale University, New Haven, Connecticut 06520
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- National Institute of Science Education and Research, HBNI, Jatni 752050, India
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- University of Texas, Austin, Texas 78712
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- University of California, Davis, California 95616
| | - J C Mei
- Shandong University, Jinan, Shandong 250100
| | - Z W Miller
- University of Illinois at Chicago, Chicago, Illinois 60607
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- Institute of High Energy Physics, Protvino 142281, Russia
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- National Institute of Science Education and Research, HBNI, Jatni 752050, India
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - M M Mondal
- Institute of Physics, Bhubaneswar 751005, India
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- Institute of High Energy Physics, Protvino 142281, Russia
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Md Nasim
- University of California, Los Angeles, California 90095
| | - T K Nayak
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - J M Nelson
- University of California, Berkeley, California 94720
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- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
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- National Research Nuclear University MEPhI, Moscow 115409, Russia
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- Wayne State University, Detroit, Michigan 48201
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- Institute of High Energy Physics, Protvino 142281, Russia
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- University of Tsukuba, Tsukuba, Ibaraki, Japan
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- Institute of High Energy Physics, Protvino 142281, Russia
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- Brookhaven National Laboratory, Upton, New York 11973
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- Pusan National University, Pusan 46241, Korea
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- National Research Nuclear University MEPhI, Moscow 115409, Russia
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- Temple University, Philadelphia, Pennsylvania 19122
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- Brookhaven National Laboratory, Upton, New York 11973
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- Brookhaven National Laboratory, Upton, New York 11973
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- University of Illinois at Chicago, Chicago, Illinois 60607
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- Joint Institute for Nuclear Research, Dubna 141 980, Russia
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- Institute of Nuclear Physics PAN, Cracow 31-342, Poland
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- Central China Normal University, Wuhan, Hubei 430079
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- University of California, Berkeley, California 94720
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- Brookhaven National Laboratory, Upton, New York 11973
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- Warsaw University of Technology, Warsaw 00-661, Poland
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- Warsaw University of Technology, Warsaw 00-661, Poland
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- Temple University, Philadelphia, Pennsylvania 19122
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- Panjab University, Chandigarh 160014, India
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- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
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- Wayne State University, Detroit, Michigan 48201
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- Purdue University, West Lafayette, Indiana 47907
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- Temple University, Philadelphia, Pennsylvania 19122
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- University of Texas, Austin, Texas 78712
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- Lehigh University, Bethlehem, Pennsylvania 18015
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- University of California, Davis, California 95616
| | - J D Roth
- Creighton University, Omaha, Nebraska 68178
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Rusnak
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - O Rusnakova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - N R Sahoo
- Texas A&M University, College Station, Texas 77843
| | - P K Sahu
- Institute of Physics, Bhubaneswar 751005, India
| | - S Salur
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J Sandweiss
- Yale University, New Haven, Connecticut 06520
| | - M Saur
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | | | - A M Schmah
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Schmitz
- Max-Planck-Institut fur Physik, Munich 80805, Germany
| | - B R Schweid
- State University of New York, Stony Brook, New York 11794
| | - J Seger
- Creighton University, Omaha, Nebraska 68178
| | - M Sergeeva
- University of California, Los Angeles, California 90095
| | - P Seyboth
- Max-Planck-Institut fur Physik, Munich 80805, Germany
| | - N Shah
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - M Shao
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A Sharma
- University of Jammu, Jammu 180001, India
| | - M K Sharma
- University of Jammu, Jammu 180001, India
| | - W Q Shen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Z Shi
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079
| | - Q Y Shou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - E P Sichtermann
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - R Sikora
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - M Simko
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - S Singha
- Kent State University, Kent, Ohio 44242
| | - M J Skoby
- Indiana University, Bloomington, Indiana 47408
| | - N Smirnov
- Yale University, New Haven, Connecticut 06520
| | - D Smirnov
- Brookhaven National Laboratory, Upton, New York 11973
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- Indiana University, Bloomington, Indiana 47408
| | - L Song
- University of Houston, Houston, Texas 77204
| | - P Sorensen
- Brookhaven National Laboratory, Upton, New York 11973
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- Argonne National Laboratory, Argonne, Illinois 60439
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- Purdue University, West Lafayette, Indiana 47907
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- National Research Nuclear University MEPhI, Moscow 115409, Russia
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- University of Tsukuba, Tsukuba, Ibaraki, Japan
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- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - B Summa
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026
| | - X M Sun
- Central China Normal University, Wuhan, Hubei 430079
| | - X Sun
- Central China Normal University, Wuhan, Hubei 430079
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
| | - M A Szelezniak
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973
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- University of Science and Technology of China, Hefei, Anhui 230026
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Tarnowsky
- Michigan State University, East Lansing, Michigan 48824
| | - A Tawfik
- World Laboratory for Cosmology and Particle Physics (WLCAPP), Cairo 11571, Egypt
| | - J Thäder
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- Rice University, Houston, Texas 77251
| | - T Todoroki
- Brookhaven National Laboratory, Upton, New York 11973
| | - M Tokarev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - S Trentalange
- University of California, Los Angeles, California 90095
| | - R E Tribble
- Texas A&M University, College Station, Texas 77843
| | - P Tribedy
- Brookhaven National Laboratory, Upton, New York 11973
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- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - O D Tsai
- University of California, Los Angeles, California 90095
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439
| | - I Upsal
- Ohio State University, Columbus, Ohio 43210
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973
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- Institute of High Energy Physics, Protvino 142281, Russia
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973
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- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - A Vossen
- Indiana University, Bloomington, Indiana 47408
| | - G Wang
- University of California, Los Angeles, California 90095
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079
| | - F Wang
- Purdue University, West Lafayette, Indiana 47907
| | - Y Wang
- Tsinghua University, Beijing 100084
| | - J C Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | - G Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | - L Wen
- University of California, Los Angeles, California 90095
| | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408
| | - R Witt
- United States Naval Academy, Annapolis, Maryland 21402
| | - Y Wu
- Kent State University, Kent, Ohio 44242
| | - Z G Xiao
- Tsinghua University, Beijing 100084
| | - W Xie
- Purdue University, West Lafayette, Indiana 47907
| | - G Xie
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J Xu
- Central China Normal University, Wuhan, Hubei 430079
| | - N Xu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Q H Xu
- Shandong University, Jinan, Shandong 250100
| | - Y F Xu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973
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- National Cheng Kung University, Tainan 70101
| | - Q Yang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - C Yang
- Shandong University, Jinan, Shandong 250100
| | - S Yang
- Brookhaven National Laboratory, Upton, New York 11973
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- University of Illinois at Chicago, Chicago, Illinois 60607
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- University of Illinois at Chicago, Chicago, Illinois 60607
| | - L Yi
- Yale University, New Haven, Connecticut 06520
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- Brookhaven National Laboratory, Upton, New York 11973
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- Pusan National University, Pusan 46241, Korea
| | - N Yu
- Central China Normal University, Wuhan, Hubei 430079
| | - H Zbroszczyk
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Z Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
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- Central China Normal University, Wuhan, Hubei 430079
| | - S Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J Zhang
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - J Zhao
- Purdue University, West Lafayette, Indiana 47907
| | - C Zhong
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - L Zhou
- University of Science and Technology of China, Hefei, Anhui 230026
| | - C Zhou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Zhu
- Tsinghua University, Beijing 100084
| | - Z Zhu
- Shandong University, Jinan, Shandong 250100
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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Dong L, Shi YK, Xu JP, Zhang EY, Liu JC, Li YX, Ni YM, Yang Q, Han T, Fu B, Chen J, Ren L, Wei SL, Chen H, Liu KX, Yu FX, Liu JS, Xiao MD, Wu SM, Zhang KL, Huang HL, Jiang SL, Qiao CH, Wang CS, Xu ZY, Zhou XM, Wang DJ, Ni LX, Xiao YB, Jiang SL, Zhang GM, Liang GY, Yang SY, Bo P, Zhong QJ, Zhang JB, Zhang X, Zhu YB, Teng X, Zhu P, Huang F, Xiao YM, Cao GQ, Tian H, Xia LM, Lu FL, Liu YQ, Liu DX, Xu H, Yuan Y, Li M, Chang C, Wu XC, Xu Z, Guo P, Bai YJ, Xue WB, Jiang XY, Na ZH, Zeng QY, Cai H, Wang YL, Xiong R, Jin S, Zheng XM, Wu D. [The multicenter study on the registration and follow-up of low anticoagulation therapy for the heart valve operation in China]. Zhonghua Yi Xue Za Zhi 2017; 96:1489-94. [PMID: 27266493 DOI: 10.3760/cma.j.issn.0376-2491.2016.19.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
OBJECTIVE To investigate the optimal anticoagulation methods and monitoring strategy for Chinese patients undergoing heart valve replacement, which is potentially quite different from western populations. METHODS In this multicenter prospective cohort study, the anticoagulation and monitoring strategy data was acquired from 25 773 in-hospital patients in 35 medical centers and 20 519 patients in outpatient clinic in 11 medical centers from January 1st, 2011 to December 31th, 2015. RESULTS As for in-hospital patients, mean age of study population was (48.6±11.2) years old; main etiology of valve pathology was rheumatic (87.5%) origin among study cohort; 94.8% of study population received mechanical valve implantation; international normalized ratio (INR) monitoring (in all the study centers) and low-intensity anticoagulation strategy (31 hospitals chose target INR range of 1.5-2.5, and actual values of INR among 89.2% of 100 069 in-hospital monitoring samples were 1.5-2.5), with mean actual INR values of 1.84±0.53, and warfarin dosage of (2.82±0.93) mg/d were widely adopted among the study centers; strategies of in-hospital warfarin administration were similar in all the study centers; complication rates of low-intensity anticoagulation strategy were low in severe hemorrhage (0.02%), thrombosis (0.05%), and thromboembolism (0.05%) events, without anticoagulation-related death.As for 18 974 outpatient clinic patients, the follow-up rate was 92.47%, with a total of 30 012 patient-years (Pty). Anticoagulation-related morbidity and mortality rates were 0.67% and 0.15% Pty; major hemorrhage morbidity and mortality rates were 0.25% and 0.13% Pty; thromboembolism morbidity and mortality rates were 0.45% and 0.03% Pty.The mean dosage of warfarin daily dosage was (2.85±1.23) mg/d and INR value was 1.82±0.57.No significant regional difference in the intensity of anticoagulation therapy was noted during the study. CONCLUSIONS INR can be used as a normalized indicator for intensity of anticoagulation therapy in China.The optimal anticoagulation intensity with INR range from 1.5 to 2.5 is safe and effective for Chinese patients with heart valve replacement, and there is no significant regional difference in the intensity of anticoagulation therapy.
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Affiliation(s)
- L Dong
- Department of Cardiovascular Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
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Adamczyk L, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aoyama R, Aparin A, Arkhipkin D, Aschenauer EC, Ashraf MU, Attri A, Averichev GS, Bai X, Bairathi V, Bellwied R, Bhasin A, Bhati AK, Bhattarai P, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Bouchet J, Brandenburg JD, Brandin AV, Bunzarov I, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Campbell JM, Cebra D, Chakaberia I, Chaloupka P, Chang Z, Chatterjee A, Chattopadhyay S, Chen X, Chen JH, Cheng J, Cherney M, Christie W, Contin G, Crawford HJ, Das S, De Silva LC, Debbe RR, Dedovich TG, Deng J, Derevschikov AA, di Ruzza B, Didenko L, Dilks C, Dong X, Drachenberg JL, Draper JE, Du CM, Dunkelberger LE, Dunlop JC, Efimov LG, Engelage J, Eppley G, Esha R, Esumi S, Evdokimov O, Eyser O, Fatemi R, Fazio S, Federic P, Fedorisin J, Feng Z, Filip P, Finch E, Fisyak Y, Flores CE, Fulek L, Gagliardi CA, Garand D, Geurts F, Gibson A, Girard M, Greiner L, Grosnick D, Gunarathne DS, Guo Y, Gupta S, Gupta A, Guryn W, Hamad AI, Hamed A, Haque R, Harris JW, He L, Heppelmann S, Heppelmann S, Hirsch A, Hoffmann GW, Horvat S, Huang B, Huang X, Huang HZ, Huang T, Huck P, Humanic TJ, Igo G, Jacobs WW, Jentsch A, Jia J, Jiang K, Jowzaee S, Judd EG, Kabana S, Kalinkin D, Kang K, Kauder K, Ke HW, Keane D, Kechechyan A, Khan ZH, Kikoła DP, Kisel I, Kisiel A, Kochenda L, Koetke DD, Kosarzewski LK, Kraishan AF, Kravtsov P, Krueger K, Kumar L, Lamont MAC, Landgraf JM, Landry KD, Lauret J, Lebedev A, Lednicky R, Lee JH, Li Y, Li C, Li W, Li X, Li X, Lin T, Lisa MA, Liu Y, Liu F, Ljubicic T, Llope WJ, Lomnitz M, Longacre RS, Luo X, Luo S, Ma GL, Ma R, Ma YG, Ma L, Magdy N, Majka R, Manion A, Margetis S, Markert C, Matis HS, McDonald D, McKinzie S, Meehan K, Mei JC, Miller ZW, Minaev NG, Mioduszewski S, Mishra D, Mohanty B, Mondal MM, Morozov DA, Mustafa MK, Nandi BK, Nasim M, Nayak TK, Nigmatkulov G, Niida T, Nogach LV, Nonaka T, Novak J, Nurushev SB, Odyniec G, Ogawa A, Oh K, Okorokov VA, Olvitt D, Page BS, Pak R, Pan YX, Pandit Y, Panebratsev Y, Pawlik B, Pei H, Perkins C, Pile P, Pluta J, Poniatowska K, Porter J, Posik M, Poskanzer AM, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Ramachandran S, Ray RL, Reed R, Rehbein MJ, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Roth JD, Ruan L, Rusnak J, Rusnakova O, Sahoo NR, Sahu PK, Sakrejda I, Salur S, Sandweiss J, Sarkar A, Schambach J, Scharenberg RP, Schmah AM, Schmidke WB, Schmitz N, Seger J, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sharma A, Sharma MK, Sharma B, Shen WQ, Shi SS, Shi Z, Shou QY, Sichtermann EP, Sikora R, Simko M, Singha S, Skoby MJ, Smirnov D, Smirnov N, Solyst W, Song L, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stepanov M, Stock R, Strikhanov M, Stringfellow B, Sugiura T, Sumbera M, Summa B, Sun Z, Sun Y, Sun XM, Surrow B, Svirida DN, Tang AH, Tang Z, Tarnowsky T, Tawfik A, Thäder J, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Tsai OD, Ullrich T, Underwood DG, Upsal I, Van Buren G, van Nieuwenhuizen G, Varma R, Vasiliev AN, Vertesi R, Videbæk F, Vokal S, Voloshin SA, Vossen A, Wang G, Wang F, Wang JS, Wang Y, Wang H, Wang Y, Webb JC, Webb G, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu Y, Xiao ZG, Xie W, Xie G, Xin K, Xu QH, Xu YF, Xu H, Xu Z, Xu N, Xu J, Yang C, Yang Y, Yang S, Yang Y, Yang Q, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yoo IK, Yu N, Zbroszczyk H, Zha W, Zhang J, Zhang XP, Zhang S, Zhang Y, Zhang JB, Zhang Z, Zhang S, Zhang J, Zhao J, Zhong C, Zhou L, Zhu X, Zoulkarneeva Y, Zyzak M. Charge-Dependent Directed Flow in Cu+Au Collisions at sqrt[s_{NN}]=200 GeV. Phys Rev Lett 2017; 118:012301. [PMID: 28106415 DOI: 10.1103/physrevlett.118.012301] [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] [Subscribe] [Scholar Register] [Received: 08/13/2016] [Indexed: 06/06/2023]
Abstract
We present the first measurement of charge-dependent directed flow in Cu+Au collisions at sqrt[s_{NN}]=200 GeV. The results are presented as a function of the particle transverse momentum and pseudorapidity for different centralities. A finite difference between the directed flow of positive and negative charged particles is observed that qualitatively agrees with the expectations from the effects of the initial strong electric field between two colliding ions with different nuclear charges. The measured difference in directed flow is much smaller than that obtained from the parton-hadron-string-dynamics model, which suggests that most of the electric charges, i.e., quarks and antiquarks, have not yet been created during the lifetime of the strong electric field, which is of the order of, or less than, 1 fm/c.
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Affiliation(s)
- L Adamczyk
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J K Adkins
- University of Kentucky, Lexington, Kentucky 40506-0055, USA
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843, USA
| | - R Aoyama
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - D Arkhipkin
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - E C Aschenauer
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - M U Ashraf
- Tsinghua University, Beijing 100084, China
| | - A Attri
- Panjab University, Chandigarh 160014, India
| | - G S Averichev
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - X Bai
- Central China Normal University, Wuhan, Hubei 430079, China
| | - V Bairathi
- National Institute of Science Education and Research, Bhubaneswar 751005, India
| | - R Bellwied
- University of Houston, Houston, Texas 77204, USA
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - A K Bhati
- Panjab University, Chandigarh 160014, India
| | - P Bhattarai
- University of Texas, Austin, Texas 78712, USA
| | - J Bielcik
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - J Bielcikova
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - L C Bland
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
| | - J Bouchet
- Kent State University, Kent, Ohio 44242, USA
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - I Bunzarov
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | | | - H Caines
- Yale University, New Haven, Connecticut 06520, USA
| | | | - J M Campbell
- Ohio State University, Columbus, Ohio 43210, USA
| | - D Cebra
- University of California, Davis, California 95616, USA
| | - I Chakaberia
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - P Chaloupka
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - Z Chang
- Texas A&M University, College Station, Texas 77843, USA
| | - A Chatterjee
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | | | - X Chen
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
| | - J H Chen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - J Cheng
- Tsinghua University, Beijing 100084, China
| | - M Cherney
- Creighton University, Omaha, Nebraska 68178, USA
| | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - G Contin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - H J Crawford
- University of California, Berkeley, California 94720, USA
| | - S Das
- Institute of Physics, Bhubaneswar 751005, India
| | - L C De Silva
- Creighton University, Omaha, Nebraska 68178, USA
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - J Deng
- Shandong University, Jinan, Shandong 250100, China
| | | | - B di Ruzza
- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - C Dilks
- Pennsylvania State University, University Park, Pennsylvania 16802, USA
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
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- Lamar University, Physics Department, Beaumont, Texas 77710, USA
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- University of California, Davis, California 95616, USA
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
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- University of California, Berkeley, California 94720, USA
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- Rice University, Houston, Texas 77251, USA
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- University of California, Los Angeles, California 90095, USA
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- University of Illinois at Chicago, Chicago, Illinois 60607, USA
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- University of Kentucky, Lexington, Kentucky 40506-0055, USA
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- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
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- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
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- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Temple University, Philadelphia, Pennsylvania 19122, USA
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- University of Science and Technology of China, Hefei, Anhui 230026, China
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- University of Jammu, Jammu 180001, India
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- University of Jammu, Jammu 180001, India
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Kent State University, Kent, Ohio 44242, USA
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- Tsinghua University, Beijing 100084, China
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- Central China Normal University, Wuhan, Hubei 430079, China
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- Texas A&M University, College Station, Texas 77843, USA
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- Institute of High Energy Physics, Protvino 142281, Russia
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- Indian Institute of Technology, Mumbai 400076, India
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- University of California, Los Angeles, California 90095, USA
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- National Research Nuclear University MEPhI, Moscow 115409, Russia
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- Wayne State University, Detroit, Michigan 48201, USA
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- Institute of High Energy Physics, Protvino 142281, Russia
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Michigan State University, East Lansing, Michigan 48824, USA
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- Institute of High Energy Physics, Protvino 142281, Russia
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Pusan National University, Pusan 46241, Korea
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- National Research Nuclear University MEPhI, Moscow 115409, Russia
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- Temple University, Philadelphia, Pennsylvania 19122, USA
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- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
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- Institute of Nuclear Physics PAN, Cracow 31-342, Poland
| | - H Pei
- Central China Normal University, Wuhan, Hubei 430079, China
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- University of California, Berkeley, California 94720, USA
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- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - J Pluta
- Warsaw University of Technology, Warsaw 00-661, Poland
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
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- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - N R Sahoo
- Texas A&M University, College Station, Texas 77843, USA
| | - P K Sahu
- Institute of Physics, Bhubaneswar 751005, India
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
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- Yale University, New Haven, Connecticut 06520, USA
| | - A Sarkar
- Indian Institute of Technology, Mumbai 400076, India
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- University of Texas, Austin, Texas 78712, USA
| | | | - A M Schmah
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Max-Planck-Institut fur Physik, Munich 80805, Germany
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- Creighton University, Omaha, Nebraska 68178, USA
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- Max-Planck-Institut fur Physik, Munich 80805, Germany
| | - N Shah
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | | | - M Shao
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - A Sharma
- University of Jammu, Jammu 180001, India
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- University of Jammu, Jammu 180001, India
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- Panjab University, Chandigarh 160014, India
| | - W Q Shen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079, China
| | - Z Shi
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - Q Y Shou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - E P Sichtermann
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - R Sikora
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - M Simko
- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
| | - S Singha
- Kent State University, Kent, Ohio 44242, USA
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- Indiana University, Bloomington, Indiana 47408, USA
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- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - N Smirnov
- Yale University, New Haven, Connecticut 06520, USA
| | - W Solyst
- Indiana University, Bloomington, Indiana 47408, USA
| | - L Song
- University of Houston, Houston, Texas 77204, USA
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Argonne National Laboratory, Argonne, Illinois 60439, USA
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- Purdue University, West Lafayette, Indiana 47907, USA
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- Purdue University, West Lafayette, Indiana 47907, USA
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- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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- National Research Nuclear University MEPhI, Moscow 115409, Russia
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
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- Pennsylvania State University, University Park, Pennsylvania 16802, USA
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
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- University of Science and Technology of China, Hefei, Anhui 230026, China
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- Central China Normal University, Wuhan, Hubei 430079, China
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- Temple University, Philadelphia, Pennsylvania 19122, USA
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- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- University of Science and Technology of China, Hefei, Anhui 230026, China
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- Michigan State University, East Lansing, Michigan 48824, USA
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- World Laboratory for Cosmology and Particle Physics (WLCAPP), Cairo 11571, Egypt
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
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- University of Houston, Houston, Texas 77204, USA
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- Rice University, Houston, Texas 77251, USA
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
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- University of California, Los Angeles, California 90095, USA
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- University of California, Los Angeles, California 90095, USA
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- Argonne National Laboratory, Argonne, Illinois 60439, USA
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Indian Institute of Technology, Mumbai 400076, India
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- Institute of High Energy Physics, Protvino 142281, Russia
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- Nuclear Physics Institute AS CR, 250 68 Prague, Czech Republic
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
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- Purdue University, West Lafayette, Indiana 47907, USA
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
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- Brookhaven National Laboratory, Upton, New York 11973, USA
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
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- Tsinghua University, Beijing 100084, China
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- University of Science and Technology of China, Hefei, Anhui 230026, China
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- University of Science and Technology of China, Hefei, Anhui 230026, China
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- Central China Normal University, Wuhan, Hubei 430079, China
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- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
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- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
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- Shandong University, Jinan, Shandong 250100, China
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- Purdue University, West Lafayette, Indiana 47907, USA
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- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
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- University of Science and Technology of China, Hefei, Anhui 230026, China
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- Tsinghua University, Beijing 100084, China
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- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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Wu Y, Zhang Z, Zhang JB, Deng Q. Association of growth factor receptor-bound protein 10 gene polymorphism with superovulation traits in Changbaishan black cattle. Genet Mol Res 2016; 15:gmr-15-04-gmr.15049262. [PMID: 28002603 DOI: 10.4238/gmr15049262] [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
The application of assisted reproductive technology in animal production benefits the economy and conservation of biological resources. Single nucleotide polymorphism (SNPs) was used as predictive markers for breeding and reproduction. In the present study, we examined the association between a SNP of the grb10 gene and superovulation traits in cattle. Sequencing results indicated a point mutation and statistical analysis showed a significant association of the mutation with superovulation traits. The high number of embryos collected from the heterozygotes suggested that the mutation in the grb10 gene exerted a significant effect on the number of embryos recovered although the quality was not affected. The grb10 gene may serve as a useful biomarker for donor selection.
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Affiliation(s)
- Y Wu
- Guangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Institute of Urology, Peking University Shenzhen Hospital, Shenzhen PKU-HKUST Medical Center, Shenzhen, China.,Graduate School, Guangzhou Medical University, Guangzhou, China
| | - Z Zhang
- Guangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Institute of Urology, Peking University Shenzhen Hospital, Shenzhen PKU-HKUST Medical Center, Shenzhen, China.,Graduate School, Anhui Medical University, Hefei, China
| | - J B Zhang
- Laboratory Animal Center, College of Animal Sciences, Jilin University, Changchun, China
| | - Q Deng
- Guangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Institute of Urology, Peking University Shenzhen Hospital, Shenzhen PKU-HKUST Medical Center, Shenzhen, China
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50
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Xiao SF, Jia JX, Zhang JB. [Treatment progress of obstructive sleep apnea hypopnea syndrome]. Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2016; 30:1909-1912. [PMID: 29798262 DOI: 10.13201/j.issn.1001-1781.2016.24.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Indexed: 11/12/2022]
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