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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Himmelreich M, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huesken N, Hussain T, Andersson WI, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Lenz T, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XH, Li XL, Li XN, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Lin YJ, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu LY, Liu Q, Liu SB, Liu T, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales CM, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Richter M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schelhaas Y, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Shi XD, Song JJ, Song QQ, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang MZ, Wang M, Wang PL, Wang RM, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Weidner F, Wen HW, Wen SP, Wiedner U, Wilkinson G, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xing TY, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yu T, Yuan CZ, Yuan XQ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhou L, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Measurement of the Cross Section for e^{+}e^{-}→Ξ^{-}Ξ[over ¯]^{+} and Observation of an Excited Ξ Baryon. PHYSICAL REVIEW LETTERS 2020; 124:032002. [PMID: 32031834 DOI: 10.1103/physrevlett.124.032002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 12/05/2019] [Indexed: 06/10/2023]
Abstract
Using a total of 11.0 fb^{-1} of e^{+}e^{-} collision data with center-of-mass energies between 4.009 and 4.6 GeV and collected with the BESIII detector at BEPCII, we measure fifteen exclusive cross sections and effective form factors for the process e^{+}e^{-}→Ξ^{-}Ξ[over ¯]^{+} by means of a single baryon-tag method. After performing a fit to the dressed cross section of e^{+}e^{-}→Ξ^{-}Ξ[over ¯]^{+}, no significant ψ(4230) or ψ(4260) resonance is observed in the Ξ^{-}Ξ[over ¯]^{+} final states, and upper limits at the 90% confidence level on Γ_{ee}B for the processes ψ(4230)/ψ(4260)→Ξ^{-}Ξ[over ¯]^{+} are determined. In addition, an excited Ξ baryon at 1820 MeV/c^{2} is observed with a statistical significance of 6.2-6.5σ by including the systematic uncertainty, and the mass and width are measured to be M=(1825.5±4.7±4.7) MeV/c^{2} and Γ=(17.0±15.0±7.9) MeV, which confirms the existence of the J^{P}=3/2^{-} state Ξ(1820).
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Mao AY, Shi JF, Qiu WQ, Liu CC, Dong P, Huang HY, Wang K, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Dai M, Chen WQ. [Analysis on the consciousness of the cancer early detection and its influencing factors among urban residents in China from 2015 to 2017]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2020; 54:54-61. [PMID: 31914570 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the consciousness of the cancer early detection among urban residents and identify the influencing factors from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. Self-designed questionnaires were used to collect population, socioeconomic indicators, self-cancer risk assessment, regular participation in physical examination and other information. The multivariate logistic regression model was used to identify the factors of people who had not regularly participated in the regular physical examination in the past five years. Results: The self-assessment results of 32 357 residents showed that there were 27.54% (8 882) of total study population with self-reported cancer risk, 45.48% (14 671) without cancer risk and 26.98% (8 704) with unclear judgement on their own cancer risk. Among population with cancer risk, 79.84% (7 091) considered physical examination accounted. In the past five years, there were 21 105 (65.43%) residents participated in regular physical examination and 11 148 (34.56%) participated in non-scheduled one, respectively. The multivariate logistic regression analysis showed that compared with unmarried and western region residents, divorced, middle and eastern region residents had a stronger consciousness to participate in the regular physical examination (P<0.05). Compare with residents with annual household income less than 20 000 CNY in 2014, cancer risk assessment/screening intervention population, and self-assessment with cancer risk, residents with annual household income between 20 000 CNY and 59 000 CNY in 2014, occupational population, community residents, cancer patients, self-reported cancer-free risk, and self-assessment with unclear judgement of cancer risk were less likely to participate in the regular physical examination (all P values <0.05). Conclusion: From 2015 to 2017, the Chinese urban residents had a acceptable consciousness of the cancer early detection. The marital status, annual household income, population group and self-assessment of cancer risk were related to the consciousness of the cancer early detection of people who had not participated in the regular physical examination in the past five years.
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Wang K, Liu CC, Mao AY, Shi JF, Dong P, Huang HY, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Chen WQ, Qiu WQ, Dai M. [Analysis on the demand, access and related factors of cancer prevention and treatment knowledge among urban residents in China from 2015 to 2017]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2020; 54:84-91. [PMID: 31914574 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the demand and access to the cancer prevention and treatment knowledge and related factors among urban residents in China from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of general demographic characteristics, the demand and access to cancer prevention and treatment knowledge, and the influencing factors of the attitude. The Chi-square test was used to analyze the difference of the demand of the cancer prevention knowledge among different groups and the corresponding factors of the cancer prevention and treatment knowledge were analyzed by using the logistic regression model. Results: The proportion of residents who need the cancer prevention and treatment knowledge was 79.5%. The demand rate of the inducement, symptom and diagnosis methods of cancer in the occupational population was highest, about 66.8%, 71.0% and 20.8%, respectively. The demand rate of treatment methods and cost in current cancer patients was the highest, about the 45.9% and 21.9%, respectively. The top three sources to acquire the cancer prevention and treatment knowledge were "broadcast or television" (69.5%), "books, newspapers, posters or brochures" (44.7%) and "family and friends" (33.8%). The multivariate analysis showed that compared with public institution personnel/civil servants, unmarried/cohabiting/divorced/widowed and others, annual household income less than 20 000 CNY, from the eastern region, people without cancer diagnosis and people with self-assessment of cancer risk, the demand rate of cancer prevention and treatment knowledge was higher in enterprise personnel/workers, married, annual household income between 60 000 CNY and 150 000 CNY, from the central region, people with cancer and people with unclear cancer risk (all P values <0.05). Conclusion: There was a high demand for the cancer prevention and treatment knowledge among urban residents in China from 2015 to 2017. The main access to the knowledge is from the radio or television. The occupation, marital status, annual household income, residential region, health status and risk of disease were the main factors of the demand of the cancer prevention and treatment knowledge.
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Liu CC, Shi CL, Shi JF, Mao AY, Huang HY, Dong P, Bai FZ, Chen YS, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Xu WH, Qiu WQ, Dai M, Chen WQ. [Study on the health literacy and related factors of the cancer prevention consciousness among urban residents in China from 2015 to 2017]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2020; 54:47-53. [PMID: 31914569 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the health literacy and relevant factors of cancer prevention consciousness in Chinese urban residents from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of demographic characteristics and cancer prevention consciousness focusing on nine common risk factors, including smoking, alcohol, fiber food, food in hot temperature or pickled food, chewing betel nut, helicobacter pylori, moldy food, hepatitis B infection, estrogen, and exercise. The logistic regression model was adopted to identify the influencing factors. Results: The overall health literacy of the cancer prevention consciousness was 77.4% (24 980 participants), with 77.4% (12 018 participants), 79.9% (6 406 participants), 77.2% (1 766 participants) and 74.5% (4 709 participants) in each group (P<0.001). The correct response rates for nine risk factors ranged from 55.2% to 93.0%. The multivariate logistic regression analysis showed that compared with community residents, people with primary school level education or below, and the number of people living together in the family <3, the cancer risk assessment/screening intervention population, cancer patients, those with junior high school level educationor above and the number of people living in the family ≥3 had better health literacy of the cancer prevention consciousness (all P values <0.05). Compared with females, 39 years old and below, government-affiliated institutions or civil servants, from the eastern region, males, older than 40 years, company or enterprise employees, and from the middle or western region had worse health literacy of the cancer prevention consciousness (all P values <0.05). Conclusion: The health literacy of the cancer prevention consciousness in Chinese urban residents should be improved. The cancer screening intervention, gender, age, education, occupation, the number of people co-living in the family, and residential region were associated with the health literacy of the cancer prevention consciousness.
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Dong P, Shi JF, Qiu WQ, Liu CC, Wang K, Huang HY, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Dai M, Chen WQ, Mao AY, He J. [Analysis on the health literacy of the cancer prevention and treatment and its related factors among urban residents in China from 2015 to 2017]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2020; 54:76-83. [PMID: 31914573 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the health literacy of the cancer prevention and treatment among urban residents of China, and explore the related factors. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The health literacy of the cancer prevention, early discovery, early diagnosis, early treatment and the demands of cancer prevention and treatment knowledge was analyzed. The level of health literacy among different groups were calculated and compared. The binary logistic regression model was used to analyze the influencing factors of the health literacy of the cancer prevention and treatment. Results: The level of health literacy of the cancer prevention and treatment was 56.97% among all study population; in each group it was 55.01% for community residents, 59.08% for cancer risk assessment/screening population, 61.99% for cancer patients and 57.31% for occupational population, respectively (P<0.001). The level of health literacy of the cancer prevention and treatment of residents aged 50 to 69 years old, other occupational groups, unmarried, the central and western region residents and the group with unclear self-assessment of cancer risk was significantly lower than that of residents younger than 40 years old, personnel of public institutions/civil servants, married, the eastern region residents and the group whose self-assessment without cancer risk (P<0.05) . The level of health literacy of cancer prevention and treatment of females, people who went to high school or over, cancer risk assessment/screening population, cancer patients and occupational population was significantly higher than that of males, people who had an education level of primary school or below and community residents (P<0.05) . Conclusion: The health literacy of the cancer prevention and treatment of urban residents in China was relatively high, but there was still room for improvement. Gender, age, educational level, occupation, region, marital status, self-assessment of cancer risk, and type of respondents were the key influencing factors of the health literacy of the cancer prevention and treatment. Male, 50-69 years old, lower educational level, central and western regions, unclear cancer risk self-assessment, and without specific environmental exposure to cancer prevention and treatment knowledge or related risk factors were the characteristics of the key intervention group of the health literacy of the cancer prevention and treatment.
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Li HC, Wang K, Yuan YN, Mao AY, Liu CC, Liu S, Yang L, Huang HY, Dong P, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Dai M, Chen WQ, Wang N, Qiu WQ, Shi JF. [Analysis on the consciousness of the early cancer treatment and its influencing factors among urban residents in China from 2015 to 2017]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2020; 54:69-75. [PMID: 31914572 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the consciousness of the cancer early treatment and its demographic and socioeconomic factors. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The questionnaire collected personal information, the consciousness of the cancer early treatment and relevant factors. The Chi square test was used to compare the difference between the consciousness of the cancer early treatment and relevant factors among the four groups. The logistic regression model was used to analyze the influencing factors related to the consciousness of the cancer early treatment. Results: With the assumption of being diagnosed as precancer or cancer, 89.97% of community residents, 91.84% of cancer risk assessment/screening population, 93.00% of cancer patients and 91.52% of occupational population would accept active treatments (P<0.001). If the immediate family members were diagnosed as precancer or cancer, people who would encourage their family members to receive early treatment in the four groups accounted for 91.96%, 91.94%, 92.44% and 91.55%, respectively (P<0.001). The company employees, annual household income with 40 000 yuan and more and other three groups had a relatively better consciousness of the cancer early treatment (P<0.05). Male, widowed, unemployed and from the central and western regions had a relatively worse consciousness of the cancer early treatment (P<0.05). Conclusion: Residents in urban China participants had a good consciousness of the cancer early treatment. The marital status, occupation, annual household income and residential regions were major factors related to the consciousness of the cancer early treatment.
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Chen JY, Sun XH, Chen XL. [Rational application of lens extraction for primary angle-closure glaucoma]. [ZHONGHUA YAN KE ZA ZHI] CHINESE JOURNAL OF OPHTHALMOLOGY 2020; 56:9-12. [PMID: 31937057 DOI: 10.3760/cma.j.issn.0412-4081.2020.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Primary angle-closure glaucoma (PACG) is the most common type of glaucoma in China. In recent years, lens extraction has gradually become one of the main means of PACG treatment. However, there are still some problems in specific applications. In this article, we analyze the problems and misunderstandings in lens extraction for treatment of PACG in China at present, hoping to achieve reasonable application and better serve patients with glaucoma. (Chin J Ophthalmol, 2020, 56: 9-12).
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Ma T, Sun XH, Yao S, Chen ZK, Zhang JF, Xu WD, Jiang XY, Wang XF. Genetic Variants of Homocysteine Metabolism, Homocysteine, and Frailty - Rugao Longevity and Ageing Study. J Nutr Health Aging 2020; 24:198-204. [PMID: 32003411 DOI: 10.1007/s12603-019-1304-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Recently, elevated homocysteine was reported to be associated with frailty in cross-sectional studies. However, whether homocysteine is causally associated with frailty is unknown. Here, we explore the inter-relationships between five non-synonymous genetic variants of homocysteine metabolic four genes, plasma homocysteine levels, and frailty. METHOD Data of 1480 individuals aged 70-87 years from the ageing arm of Rugao Longevity and Ageing Study were used. Five variants of the four homocysteine metabolic enzyme genes were genotyped. Frailty was defined using Fried's phenotype criteria. RESULTS The percentage of high homocysteine (>15μmol/L) is 33.3%. Two functional variants that decrease methylenetetrahydrofolate reductase (MTHFR) activities, C677T (Ala222Val, rs1801133) and A1298C (Glu429Ala, rs1801131), were significantly associated with increased homocysteine levels (β=-1.16, p=0.01; and β=1.46, p<0.001, respectively). In addition, homocysteine increase gradually from CC-CC, CC-AC, CT-AC, CT-AA, CC-AA, to TT-AA genotypes of the C677T-A1298C combinations. The five polymorphisms in the homocysteine metabolic gene was not associated with frailty. However, homocysteine was significantly associated with frailty with an OR of 2.27 (95% 1.36-3.78) for high homocysteine after adjusting for multiple confounding factors. CONCLUSION Elevated homocysteine is not a causal factor but a biomarker that manifests greater possibility of frailty in high risk elderly individuals for prevention.
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Zhang N, Zhu WL, Liu XH, Chen W, Zhu ML, Sun XH, Wu W. [Related factors of sarcopenia in hospitalized elderly patients with coronary heart disease]. ZHONGHUA XIN XUE GUAN BING ZA ZHI 2019; 47:979-984. [PMID: 31877594 DOI: 10.3760/cma.j.issn.0253-3758.2019.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the incidence and clinical characteristics of sarcopenia in hospitalized elderly patients with coronary heart disease and search for the related factors. Methods: This study was a single-center observational study. According to the inclusion criteria, elderly patients hospitalized with coronary heart disease from Peking Union Medical College Hospital between December 2017 and December 2018 were enrolled. The patients were divided into sarcopenic group and non-sarcopenic group according to the diagnostic criteria of the Asian Working Group for Sarcopenia. Activities of daily living of the patients were assessed (including ADL and IADL) . Comorbidity of the patients was evaluated by the Charlson comorbidity index (CCI). Long-term medication use of the patients was recorded to assesse whether there was polypharmacy. The nutritional status of the patients was examined by the mini nutritional assessment-short form (MNA-SF). The full tandem stance time of the patients was evaluated. The history of falls over the previous year, urinary incontinence, and living conditions of the patients were also recorded. Multivariate logistic regression was used to analyze the related factors for sarcopenia of elderly patients with coronary heart disease. Results: A total of 364 patients were enrolled in the study. The patients were aged 65-96 (74.6±6.5) years and there were 218 (59.9%) male patients. There were 264 cases of stable coronary heart disease and 100 cases of acute coronary syndrome. The median number of long-term used medication was 7. One hundred and fifty-two (41.8%) patients were complicated with type 2 diabetes, 38 (10.4%) patients were complicated with anxiety/depression, and 98 (26.9%) patients had the history of falls over the previous year. Eighty-two (22.5%) patients were complicated with urinary incontinence, 12 patients (3.3%) were complicated with malnutrition and 33 patients (9.2%) were living alone. There were 81 (22.3%) sarcopenic patients and 283 (77.7%) non-sarcopenic patients among all the hospitalized elderly patients with coronary heart disease. The sarcopenic patients were more older, with lower body mass index(BMI)(both P<0.001), higher CCI and more long-term used medication (both P<0.05), higher proportions of malnutrition, urinary incontinence, history of falls, and living alone (all P<0.05) compared to non-sarcopenic patients. ADL and IADL scores of sarcopenic patients were significantly lower than those of non-sarcopenic patients (both P<0.001). There was also a higher proportion of unable to accomplish full tandem stance among sarcopenic patients compared to non-sarcopenic patients (P<0.001). Moreover, higher hs-CRP level (P=0.047) , lower albumin level (P=0.004) and significantly lower prealbumin level (P<0.001) were observed in sarcopenic patients compared to non-sarcopenic patients. Stepwise multivariate binomial logistic regression analysis revealed that male (OR=5.036, 95%CI 1.782-14.230, P=0.002), low BMI (OR=0.883, 95%CI 0.796-0.980, P=0.019), as well as low prealbumin level (OR=0.990, 95%CI 0.980-1.000, P=0.045) were related factors for sarcopenia among elderly patients with coronary heart disease. Conclusions: Sarcopenia is a geriatric condition commonly seen in hospitalized elderly patients with coronary heart disease. Male, low BMI, and low prealbumin level were the factors related to sarcopenia for older adults with coronary heart disease.
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Wu XJ, Sun XH, Wang SW, Chen JL, Bi YH, Jiang DX. Mifepristone alleviates cerebral ischemia-reperfusion injury in rats by stimulating PPAR γ. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2019; 22:5688-5696. [PMID: 30229846 DOI: 10.26355/eurrev_201809_15836] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To investigate the changes of peroxisome proliferator-activated receptor gamma (PPAR γ) in focal cerebral ischemia-reperfusion injury, and to explore the effect and mechanism of mifepristone on the cerebral ischemia-reperfusion injury. MATERIALS AND METHODS Male Sprague-Dawley (SD) rats were selected, and the middle cerebral artery occlusion and reperfusion (MCAO/R) rat model was constructed using the longa's suture-occluded method. The sham operation group was not inserted with occlusion sutures. All experimental rats were divided into four groups: the sham operation group (SHA group), the MCAO/R model group (MCR group), the mifepristone intervention group (MIF group) (3 mg/kg, intragastric administration), and the mifepristone + bisphenol A diglycidyl ether (BADGE) intervention group (MIF+BAD group) [3 mg/kg mifepristone (intragastric administration) + 30 mg/kg BADGE (intraperitoneal injection)]. The long's scoring method (5 grades) was applied for scoring after reperfusion, at the time when the animals woke up, and at 48 h after awaking before execution, respectively. 48 h after the model was successfully established, triphenyl tetrazolium chloride (TTC) staining was performed to calculate the volume of cerebral infarction, and Nissl staining was conducted to observe the cranial nerve tissue morphology. Meanwhile, immune-histochemical staining was used to detect PPAR γ. Moreover, the protein expression levels of PPAR γ, tumor necrosis factor-alpha (TNF-α), interleukin-1 beta (IL-1β), interleukin-6 (IL-6), matrix metalloproteinase-2 (MMP-2), MMP-9 and tissue inhibitor of metalloproteinase 1 (TIMP-1) were examined by Western blotting (WB). RESULTS Mifepristone could significantly enhance the neurological function after cerebral ischemia-reperfusion injury, reduce the volume of cerebral infarction, and improve the morphology of nerve tissues in rats. The expression of PPAR γ in the brain tissues of rats after cerebral ischemia-reperfusion injury markedly declined, whereas mifepristone could remarkably increase the protein expression of PPAR γ. After mifepristone intervention, the protein levels of TNF-α, IL-1β, IL-6, MMP-2, and MMP-9 in the infarcted brain tissues of rats were markedly decreased, while the expression of the TIMP-1 protein was increased. When combined with BADGE, the effect of mifepristone was partially offset. CONCLUSIONS Mifepristone acts as a PPAR γ agonist, and relieves cerebral ischemia-reperfusion injury by restoring the balance between MMPs and TIMPs and inhibiting inflammatory cytokines.
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Zhang SP, Li X, Li H, Sun XH, Yan XF. Significance of neoadjuvant chemotherapy (NACT) in limb salvage treatment of osteosarcoma and its effect on GLS1 expression. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2019; 22:6538-6544. [PMID: 30338824 DOI: 10.26355/eurrev_201810_16068] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE We examined the clinical significance of neoadjuvant chemotherapy (NACT) in limb salvage treatment of osteosarcoma and its effect on the Glutaminase 1 gene (GLS1) expression. PATIENTS AND METHODS 278 patients admitted to Qianfoshan Hospital Affiliated to Shandong University with osteosarcoma were randomly divided into the study group and the control group. Patients in the study group had 3-4 courses of cisplatin, ifosfamide, and adriamycin (DIA) chemotherapy before surgical excision, while no chemotherapy was used in the control group before the surgery. RESULTS GLS1 expression in the study group decreased, the difference showed statistical significance compared with that of the control group (p<0.05). The median survival time of the study group was 48.4±19.7 months while in the control group was 42.4±11.2. The overall survival time of study group was 58.5±15.2 months, which was significantly higher than control 49.4±10.7 (p<0.05). The higher GLS1 expression in osteosarcoma was, the shorter the patients' survival time would be. CONCLUSIONS Neoadjuvant chemotherapy performed before surgery could significantly decrease the GLS1 expression in osteosarcoma, effectively improving limb salvage treatment of osteosarcoma. The higher the GLS1 expression was, the shorter the patients' survival time would be.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Himmelreich M, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Lenz T, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XH, Li XL, Li XN, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Lin YJ, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu LY, Liu Q, Liu SB, Liu T, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Richter M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schelhaas Y, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Shi XD, Song JJ, Song QQ, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang MZ, Wang M, Wang PL, Wang RM, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen HW, Wen SP, Wiedner U, Wilkinson G, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xing TY, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yu T, Yuan CZ, Yuan XQ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhou L, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Observation of the Semileptonic D^{+} Decay into the K[over ¯]_{1}(1270)^{0} Axial-Vector Meson. PHYSICAL REVIEW LETTERS 2019; 123:231801. [PMID: 31868427 DOI: 10.1103/physrevlett.123.231801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 10/01/2019] [Indexed: 06/10/2023]
Abstract
By analyzing a 2.93 fb^{-1} data sample of e^{+}e^{-} collisions, recorded at a center-of-mass energy of 3.773 GeV with the BESIII detector operated at the BEPCII collider, we report the first observation of the semileptonic D^{+} transition into the axial-vector meson D^{+}→K[over ¯]_{1}(1270)^{0}e^{+}ν_{e} with a statistical significance greater than 10σ. Its decay branching fraction is determined to be B[D^{+}→K[over ¯]_{1}(1270)^{0}e^{+}ν_{e}]=(2.30±0.26_{-0.21}^{+0.18}±0.25)×10^{-3}, where the first and second uncertainties are statistical and systematic, respectively, and the third originates from the input branching fraction of K[over ¯]_{1}(1270)^{0}→K^{-}π^{+}π^{0}.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Himmelreich M, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huesken N, Hussain T, Andersson WI, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Lenz T, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XH, Li XL, Li XN, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Lin YJ, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu LY, Liu Q, Liu SB, Liu T, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales CM, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Richter M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schelhaas Y, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Shi XD, Song JJ, Song QQ, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang MZ, Wang M, Wang PL, Wang RM, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen HW, Wen SP, Wiedner U, Wilkinson G, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xing TY, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yu T, Yuan CZ, Yuan XQ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhou L, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Observation of the Leptonic Decay D^{+}→τ^{+}ν_{τ}. PHYSICAL REVIEW LETTERS 2019; 123:211802. [PMID: 31809130 DOI: 10.1103/physrevlett.123.211802] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Indexed: 06/10/2023]
Abstract
We report the first observation of D^{+}→τ^{+}ν_{τ} with a significance of 5.1σ. We measure B(D^{+}→τ^{+}ν_{τ})=(1.20±0.24_{stat}±0.12_{syst})×10^{-3}. Taking the world average B(D^{+}→μ^{+}ν_{μ})=(3.74±0.17)×10^{-4}, we obtain R_{τ/μ}=Γ(D^{+}→τ^{+}ν_{τ})/Γ(D^{+}→μ^{+}ν_{μ})=3.21±0.64_{stat}±0.43_{syst}., which is consistent with the standard model expectation of lepton flavor universality. Using external inputs, our results give values for the D^{+} decay constant f_{D^{+}} and the Cabibbo-Kobayashi-Maskawa matrix element |V_{cd}| that are consistent with, but less precise than, other determinations.
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Fang Y, Yao XQ, Niu LL, Wu JH, Thee EF, Chen DF, Chen JY, Sun XH. Safety evaluation of subretinal injection of trypan blue in rats. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2019; 22:2923-2933. [PMID: 29863233 DOI: 10.26355/eurrev_201805_15046] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To determine the appropriate concentration of trypan blue (TB) for subretinal injection in a rat model and to provide a safety profile that limits retinal toxicity while maintaining dye visibility. MATERIALS AND METHODS Adult rats were subretinally injected with various concentrations of either TB or phosphate-buffered saline (PBS); rats which received sham injections served as an additional control. The injected areas were visualized under a surgical microscope. Electroretinography (ERG) was performed to measure retinal function. Animals were then sacrificed, and the eyes were sectioned and examined by light microscopy. Terminal deoxynucleotidy1 transferase dUTP nick-end labeling (TUNEL) was applied to determine retinal apoptosis. RESULTS One day after the subretinal injection, TB stains were visible under the surgical microscope in the 0.2%, 0.08%, and 0.04% TB-injected groups, but not in the 0.02% TB-injected group. TB stain was detectable in the retina and sclera of the 0.2%, 0.08%, and 0.04% TB-injected groups for over 2 weeks after injection. However, the amplitudes of ERGa- and b-waves were affected and became significantly lower in the 0.2% TB-injected group than the amplitudes in the PBS-, or sham-injected group. Moreover, TUNEL+ cells appeared in the outer nuclear layer (ONL), ganglion cell layer (GCL), and retinal pigment epithelium (RPE) layer of the 0.2% and 0.08% TB-injected groups at 1 and 7 days after subretinal injection. In contrast, very few TUNEL+ cells were found in the 0.04% TB- or PBS-injected group. Two weeks after injection, the ONL was significantly thinner in the 0.2% TB-injected group than in the 0.04% TB-, PBS- or sham-injected group. CONCLUSIONS TB injection induces a dose-dependent neurotoxic effect on retinal cells. Subretinal injection of 0.04% TB is relatively safe and effective for subretinal staining.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Lenz T, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XH, Li XL, Li XN, Li XQ, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Lin YJ, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu Q, Liu SB, Liu T, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Redmer CF, Richter M, Ripka M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Shi XD, Song JJ, Song QQ, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HH, Wang K, Wang LL, Wang LS, Wang M, Wang MZ, Wang M, Wang PL, Wang RM, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen HW, Wen SP, Wiedner U, Wilkinson G, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xing TY, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan XQ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhou L, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Complete Measurement of the Λ Electromagnetic Form Factors. PHYSICAL REVIEW LETTERS 2019; 123:122003. [PMID: 31633986 DOI: 10.1103/physrevlett.123.122003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 06/26/2019] [Indexed: 06/10/2023]
Abstract
The exclusive process e^{+}e^{-}→ΛΛ[over ¯], with Λ→pπ^{-} and Λ[over ¯]→p[over ¯]π^{+}, has been studied at sqrt[s]=2.396 GeV for measurement of the timelike Λ electric and magnetic form factors, G_{E} and G_{M}. A data sample, corresponding to an integrated luminosity of 66.9 pb^{-1}, was collected with the BESIII detector for this purpose. A multidimensional analysis with a complete decomposition of the spin structure of the reaction enables a determination of the modulus of the ratio R=|G_{E}/G_{M}| and, for the first time for any baryon, the relative phase ΔΦ=Φ_{E}-Φ_{M}. The resulting values are R=0.96±0.14(stat)±0.02(syst) and ΔΦ=37°±12°(stat)±6°(syst), respectively. These are obtained using the recently established and most precise value of the asymmetry parameter α_{Λ}=0.750±0.010 measured by BESIII. In addition, the cross section is measured with unprecedented precision to be σ=118.7±5.3(stat)±5.1(syst) pb, which corresponds to an effective form factor of |G|=0.123±0.003(stat)±0.003(syst). The contribution from two-photon exchange is found to be negligible. Our result enables the first complete determination of baryon timelike electromagnetic form factors.
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai JZ, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen XR, Chen YB, Cheng W, Chu XK, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guo AQ, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, He XQ, Heinsius FH, Held T, Heng YK, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang ZL, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li J, Li KJ, Li K, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu LD, Liu Q, Liu SB, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Mustafa A, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Redmer CF, Richter M, Ripka M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Sarantsev A, Savrié M, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Song JJ, Song XY, Sosio S, Sowa C, Spataro S, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Tsednee B, Uman I, Wang B, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XL, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhou L, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Amplitude Analysis of D_{s}^{+}→π^{+}π^{0}η and First Observation of the W-Annihilation Dominant Decays D_{s}^{+}→a_{0}(980)^{+}π^{0} and D_{s}^{+}→a_{0}(980)^{0}π^{+}. PHYSICAL REVIEW LETTERS 2019; 123:112001. [PMID: 31573268 DOI: 10.1103/physrevlett.123.112001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 06/25/2019] [Indexed: 06/10/2023]
Abstract
We present the first amplitude analysis of the decay D_{s}^{+}→π^{+}π^{0}η. We use an e^{+}e^{-} collision data sample corresponding to an integrated luminosity of 3.19 fb^{-1} collected with the BESIII detector at a center-of-mass energy of 4.178 GeV. We observe for the first time the W-annihilation dominant decays D_{s}^{+}→a_{0}(980)^{+}π^{0} and D_{s}^{+}→a_{0}(980)^{0}π^{+}. We measure the absolute branching fraction B(D_{s}^{+}→a_{0}(980)^{+(0)}π^{0^{(}+)},a_{0}(980)^{+(0)}→π^{+(0)}η)=(1.46±0.15_{stat}±0.23_{sys})%, which is larger than the branching fractions of other measured pure W-annihilation decays by at least one order of magnitude. In addition, we measure the branching fraction of D_{s}^{+}→π^{+}π^{0}η with significantly improved precision.
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Wei J, Tian L, Zhang ZC, Wang HZ, Liu N, Sun XH. [Relationship of BMI and wrist joint index with carpal tunnel syndrome in manual laborers]. ZHONGHUA LAO DONG WEI SHENG ZHI YE BING ZA ZHI = ZHONGHUA LAODONG WEISHENG ZHIYEBING ZAZHI = CHINESE JOURNAL OF INDUSTRIAL HYGIENE AND OCCUPATIONAL DISEASES 2019; 37:30-33. [PMID: 30884585 DOI: 10.3760/cma.j.issn.1001-9391.2019.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the severity of median nerve damage in patients with carpal tunnel syndrome (CTS) , and to analyze its relationship with body mass index (BMI) and wrist joint index. Methods: From May 2016 to January 2017, 23 patients with mild CTS (mild group) and 35 patients with moderate to severe CTS (moderate to severe group) were enrolled in this study. And 22 healthy volunteers matched for sex and age were selected as control group. The neuroelectrophysiological monitor was used to measure the median nerve movement and sensory nerve conduction in the subjects. The BMI and wrist joint index were calculated. The relationship of neuroelectrophysiological parameters with BMI and wrist joint index was analyzed in the CTS patients. Results: Compared with the control group, the mild group and the moderate to severe group had significantly higher wrist joint index, significantly longer distal motor latency (DML) of the median nerve, and significantly lower sensory nerve conduction velocity (SNCV) and sensory nerve action potential (SNAP) amplitude of the finger 1-wrist and finger 3-wrist (P<0.01) ; the moderate to severe group had significantly higher BMI and significantly lower composite muscle action potential (CMAP) amplitude (P<0.01) . The wrist joint index and BMI were positively correlated with DML of the median nerve and negatively correlated with SCV and SNAP amplitude of the finger 1-wrist and finger 3-wrist (all P<0.05) . The patients with a wrist joint index of >0.73 had a significantly higher risk of CTS than those with a wrist joint index of <0.73 (odd ratio=30.67, 95% confidence interval: 3.79-248.36) . Conclusion: A wrist joint index of >0.73 is an independent risk factor for CTS in manual laborers. CTS should be prevented in the manual laborers with high wrist joint index and BMI.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Ferroli RB, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huesken N, Hussain T, Andersson WI, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Lenz T, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XH, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Lin YJ, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu Q, Liu SB, Liu T, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales CM, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Richter M, Ripka M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savri M, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Shi XD, Song JJ, Song QQ, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HH, Wang K, Wang LL, Wang LS, Wang M, Wang MZ, Wang M, Wang PL, Wang RM, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen HW, Wen SP, Wiedner U, Wilkinson G, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xing TY, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan XQ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhou L, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Study of e^{+}e^{-}→γωJ/ψ and Observation of X(3872)→ωJ/ψ. PHYSICAL REVIEW LETTERS 2019; 122:232002. [PMID: 31298909 DOI: 10.1103/physrevlett.122.232002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 04/25/2019] [Indexed: 06/10/2023]
Abstract
We study the e^{+}e^{-}→γωJ/ψ process using 11.6 fb^{-1} e^{+}e^{-} annihilation data taken at center-of-mass energies from sqrt[s]=4.008 GeV to 4.600 GeV with the BESIII detector at the BEPCII storage ring. The X(3872) resonance is observed for the first time in the ωJ/ψ system with a significance of more than 5σ. The relative decay ratio of X(3872)→ωJ/ψ and π^{+}π^{-}J/ψ is measured to be R=1.6_{-0.3}^{+0.4}±0.2, where the first uncertainty is statistical and the second systematic (the same hereafter). The sqrt[s]-dependent cross section of e^{+}e^{-}→γX(3872) is also measured and investigated, and it can be described by a single Breit-Wigner resonance, referred to as the Y(4200), with a mass of 4200.6_{-13.3}^{+7.9}±3.0 MeV/c^{2} and a width of 115_{-26}^{+38}±12 MeV. In addition, to describe the ωJ/ψ mass distribution above 3.9 GeV/c^{2}, we need at least one additional Breit-Wigner resonance, labeled as X(3915), in the fit. The mass and width of the X(3915) are determined. The resonant parameters of the X(3915) agree with those of the Y(3940) in B→KωJ/ψ and of the X(3915) in γγ→ωJ/ψ observed by the Belle and BABAR experiments within errors.
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Lenz T, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XH, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Lin YJ, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu Q, Liu SB, Liu T, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Redmer CF, Richter M, Ripka M, Rivetti A, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Shi XD, Song JJ, Song QQ, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HH, Wang K, Wang LL, Wang LS, Wang M, Wang MZ, Wang M, Wang P, Wang PL, Wang RM, Wang WP, Wang X, Wang XF, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen HW, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xing TY, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan XQ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhou L, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Observation of the Decay X(3872)→π^{0}χ_{c1}(1P). PHYSICAL REVIEW LETTERS 2019; 122:202001. [PMID: 31172749 DOI: 10.1103/physrevlett.122.202001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Revised: 04/15/2019] [Indexed: 06/09/2023]
Abstract
Using a total of 9.0 fb^{-1} of e^{+}e^{-} collision data with center-of-mass energies between 4.15 and 4.30 GeV collected by the BESIII detector, we search for the processes e^{+}e^{-}→γX(3872) with X(3872)→π^{0}χ_{cJ} for J=0, 1, 2. We report the first observation of X(3872)→π^{0}χ_{c1}, a new decay mode of the X(3872), with a statistical significance of more than 5σ for all systematic fit variations. Normalizing to the previously established process e^{+}e^{-}→γX(3872) with X(3872)→π^{+}π^{-}J/ψ, we find B(X(3872)→π^{0}χ_{c1})/B(X(3872)→π^{+}π^{-}J/ψ)=0.88_{-0.27}^{+0.33}±0.10, where the first error is statistical and the second is systematic. We set 90% confidence level upper limits on the corresponding ratios for the decays to π^{0}χ_{c0} and π^{0}χ_{c2} of 19 and 1.1, respectively.
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Chen YH, Wen W, Wu N, Ling ZH, Chen JY, Chen Q, Sun XH. [The effect of trabeculectomy combined with prophylactic sclerotomy as a treatment of late stage juvenile open angle glaucoma and primary congenital glaucoma patients: a primary observational study]. [ZHONGHUA YAN KE ZA ZHI] CHINESE JOURNAL OF OPHTHALMOLOGY 2019; 55:347-354. [PMID: 31137146 DOI: 10.3760/cma.j.issn.0412-4081.2019.05.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the outcomes of trabeculectomy combined with a new prophylactic sclerotomy in late stage juvenile open angle glaucoma (JOAG) and primary congenital glaucoma (PCG) patients at high risks of intraoperative and postoperative suprachoroidal hemorrhage (SCH). Method: A retrospective case series study. Thirty-three eyes of 28 JOAG patients and 15 eyes of 12 PCG patients with high risk factors for severe choroidal effusion or SCH were enrolled from November 2006 to April 2012 at Eye and ENT Hospital of Fudan University. The standard trabeculectomy accompanied by prophylactic sclerotomy was performed (video attached). Ophthalmic examinations were performed before and after the surgery. Surgical outcome was assessed in terms of intraocular pressure (IOP), best-corrected visual acuity, optic nerve head cup disc ratio, visual field, and complications. All patients were followed up for at least 1 year. Complete success was defined as an IOP ≥6 mmHg (1 mmHg=0.133 kPa) but ≤18 mmHg without medication. Qualified success was defined as an IOP ≥6 mmHg but ≤18 mmHg with local application of medications. Kaplan-Meier survival curves were drawn for the success rate calculation. Results: The mean age of all 40 patients was (13.2±9.4) years old. And among them, 22 patients were male and 18 patients were female. The mean follow-up time was (31.8±15.9) months. At the postoperative 3(rd) year, the complete success rate was 75.8%, and the qualified success rate was 90.0%. In our case series, one eye had expulsive SCH intraoperatively and two eyes had delayed SCH postoperatively. All of them were successfully saved without further surgery and with no significant damage to visual function. Conclusion: Trabeculectomy combined with prophylactic sclerotomy is a promising technique developed to control IOP in late stage JOAG and PCG patients, which provides a potential intervention to reduce severe consequences of massive choroidal effusion or SCH. (Chin J Ophthalmol, 2019, 55: 347-354).
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Begzsuren K, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen PL, Chen SJ, Chen XR, Chen YB, Cheng W, Chu XK, Cibinetto G, Cossio F, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Duan PF, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Haddadi Z, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kavatsyuk M, Ke BC, Keshk IK, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lange JS, Larin P, Lavezzi L, Leiber S, Leithoff H, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li KJ, Li K, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HL, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu LD, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales CM, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peng ZY, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Redmer CF, Richter M, Ripka M, Rivetti A, Rolo M, Rong G, Rosner C, Sarantsev A, Savrié M, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Song JJ, Song WM, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Tiemens M, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang D, Wang DY, Wang HH, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XF, Wang Y, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia X, Xia Y, Xiao D, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Precision Measurement of the Branching Fractions of η^{'} Decays. PHYSICAL REVIEW LETTERS 2019; 122:142002. [PMID: 31050481 DOI: 10.1103/physrevlett.122.142002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Indexed: 06/09/2023]
Abstract
Based on a sample of (1310.6±7.0)×10^{6}J/ψ events collected with the BESIII detector, we present measurements of J/ψ and η^{'} absolute branching fractions using the process J/ψ→γη^{'}. By analyzing events where the radiative photon converts into an e^{+}e^{-} pair, the branching fraction for J/ψ→γη^{'} is measured to be (5.27±0.03±0.05)×10^{-3}. The absolute branching fractions of the five dominant decay channels of the η^{'} are then measured for the first time and are determined to be B(η^{'}→γπ^{+}π^{-})=(29.90±0.03±0.55)%, B(η^{'}→ηπ^{+}π^{-})=(41.24±0.08±1.24)%, B(η^{'}→ηπ^{0}π^{0})=(21.36±0.10±0.92)%, B(η^{'}→γω)=(2.489±0.018±0.074)%, and B(η^{'}→γγ)=(2.331±0.012±0.035)%, where the first uncertainties are statistical and the second systematic.
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai JZ, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Begzsuren K, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen PL, Chen SJ, Chen XR, Chen YB, Cheng W, Chu XK, Cibinetto G, Cossio F, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Duan PF, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Fegan S, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Haddadi Z, Han S, Hao XQ, Harris FA, He KL, He XQ, Heinsius FH, Held T, Heng YK, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Ikegami Andersson W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XS, Kavatsyuk M, Ke BC, Keshk IK, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kornicer M, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lange JS, Larin P, Lavezzi L, Leiber S, Leithoff H, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li KJ, Li K, Li K, Li L, Li PL, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HL, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu LD, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peng ZY, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Redmer CF, Richter M, Ripka M, Rivetti A, Rolo M, Rong G, Rosner C, Sarantsev A, Savrié M, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Song JJ, Song WM, Song XY, Sosio S, Sowa C, Spataro S, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Tiemens M, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang D, Wang DY, Wang D, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XF, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia X, Xia Y, Xiao D, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Measurement of the Dynamics of the Decays D_{s}^{+}→η^{(')}e^{+}ν_{e}. PHYSICAL REVIEW LETTERS 2019; 122:121801. [PMID: 30978074 DOI: 10.1103/physrevlett.122.121801] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 02/27/2019] [Indexed: 06/09/2023]
Abstract
Using e^{+}e^{-} annihilation data corresponding to an integrated luminosity of 3.19 fb^{-1} collected at a center-of-mass energy of 4.178 GeV with the BESIII detector, we measure the absolute branching fractions B_{D_{s}^{+}→ηe^{+}ν_{e}}=(2.323±0.063_{stat}±0.063_{syst})% and B_{D_{s}^{+}→η^{'}e^{+}ν_{e}}=(0.824±0.073_{stat}±0.027_{syst})% via a tagged analysis technique, where one D_{s} is fully reconstructed in a hadronic mode. Combining these measurements with previous BESIII measurements of B_{D^{+}→η^{(')}e^{+}ν_{e}}, the η-η^{'} mixing angle in the quark flavor basis is determined to be ϕ_{P}=(40.1±2.1_{stat}±0.7_{syst})°. From the first measurements of the dynamics of D_{s}^{+}→η^{(')}e^{+}ν_{e} decays, the products of the hadronic form factors f_{+}^{η^{(')}}(0) and the Cabibbo-Kobayashi-Maskawa matrix element |V_{cs}| are determined with different form factor parametrizations. For the two-parameter series expansion, the results are f_{+}^{η}(0)|V_{cs}|=0.4455±0.0053_{stat}±0.0044_{syst} and f_{+}^{η^{'}}(0)|V_{cs}|=0.477±0.049_{stat}±0.011_{syst}.
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Liu YB, Yan L, Zhou Y, Bi SY, Du YF, Zhang L, Zhao JC, Zhang ML, Sun XH, Li YN, Huang XH. [Female reproductive system dysplasia: a clinical study of 924 cases]. ZHONGHUA FU CHAN KE ZA ZHI 2019; 54:166-172. [PMID: 30893717 DOI: 10.3760/cma.j.issn.0529-567x.2019.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the relationship between different types of female reproductive system dysplasia and age of visit, clinical manifestations, common types of combined malformations and endometriosis. Methods: The patient's medical records in the Second Hospital of Hebei Medical University from December 2002 to June 2016 were collected and retrospectively analyzed. Results: Among 924 cases of genital tract dysplasia, uterine dysplasia (65.3%, 824/1 261) was the most common, followed by vaginal dysplasia (28.3%, 357/1 261), hymen atresia and urogenital fistula (3.7%, 47/1 261), and cervical dysplasia (2.6%, 33/1 261). (1) The youngest age was in patients with hymen atresia and urogenital fistula, with a median of 14.5 years old, while the older age were in patients with uterine, vaginal and cervical dysplasia, with median age of 25.0, 24.0 and 23.0 years old, respectively. (2) The clinical manifestations were lack of specificity, mainly abnormal findings of physical examination or accessory examination, primary amenorrhea, lower abdominal pain, infertility, adverse pregnancy history. (3) About other systemic malformations, urological malformations were the most common (4.8%, 44/924), followed by spinal malformations (0.5%, 5/924), inguinal hernia (0.4%, 4/924), heart malformations (0.2%, 2/924), cleft lip and palate (0.2%, 2/924). Oblique vaginal septal syndrome and MRKH syndrome were the most likely to be associated with other system malformations. (4) About combination with endometriosis, there was no significant difference between obstructive genital tract malformations (2.3%, 9/385) and non obstructive genital tract malformations (1.7%, 9/539; P=0.469). Conclusions: Female reproductive system dysplasia is the most common in uterine dysplasia, followed by vaginal dysplasia, hymen atresia and urogenital fistula, and cervical dysplasia. The age of visit is generally older, often found by abnormal findings of physical examination or accessory examination, primary amenorrhea, lower abdominal pain, infertility, adverse pregnancy history;and could be combined with a variety of other system malformations, most seen by urinary system malformations,there is also the risk of endometriosis.
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bian JM, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen PL, Chen SJ, Chen YB, Cibinetto G, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Duan PF, Fan JZ, Fang J, Fang SS, Fang X, Fang Y, Farinelli R, Fava L, Fegan S, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao YG, Gao Z, Garzia I, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Haddadi Z, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Holtmann T, Hou ZL, Hu C, Hu HM, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Ikegami Andersson W, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Khan T, Khoukaz A, Kiese P, Kliemt R, Koch L, Kolcu OB, Kopf B, Kornicer M, Kuemmel M, Kuessner M, Kuhlmann M, Kupsc A, Kühn W, Lange JS, Lara M, Larin P, Lavezzi L, Leiber S, Leithoff H, Leng C, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li KJ, Li K, Li K, Li L, Li PL, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JP, Liu JY, Liu K, Liu KY, Liu K, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Morello G, Muchnoi NY, Muramatsu H, Mustafa A, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Richter M, Ripka M, Rolo M, Rong G, Rosner C, Ruan XD, Sarantsev A, Savrié M, Schnier C, Schoenning K, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Song JJ, Song WM, Song XY, Sosio S, Sowa C, Spataro S, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang GY, Tang X, Tapan I, Tiemens M, Tsednee B, Uman I, Varner GS, Wang B, Wang BL, Wang DY, Wang D, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XF, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia X, Xia Y, Xiao D, Xiao H, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu QN, Xu XP, Yan L, Yan WB, Yan WC, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang YH, Yang YX, Yang Y, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zallo A, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SQ, Zhang XY, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YX, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Evidence of a Resonant Structure in the e^{+}e^{-}→π^{+}D^{0}D^{*-} Cross Section between 4.05 and 4.60 GeV. PHYSICAL REVIEW LETTERS 2019; 122:102002. [PMID: 30932669 DOI: 10.1103/physrevlett.122.102002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 02/10/2019] [Indexed: 06/09/2023]
Abstract
The cross section of the process e^{+}e^{-}→π^{+}D^{0}D^{*-} for center-of-mass energies from 4.05 to 4.60 GeV is measured precisely using data samples collected with the BESIII detector operating at the BEPCII storage ring. Two enhancements are clearly visible in the cross section around 4.23 and 4.40 GeV. Using several models to describe the dressed cross section yields stable parameters for the first enhancement, which has a mass of 4228.6±4.1±6.3 MeV/c^{2} and a width of 77.0±6.8±6.3 MeV, where the first uncertainties are statistical and the second ones are systematic. Our resonant mass is consistent with previous observations of the Y(4220) state and the theoretical prediction of a DD[over ¯]_{1}(2420) molecule. This result is the first observation of Y(4220) associated with an open-charm final state. Fits with three resonance functions with additional Y(4260), Y(4320), Y(4360), ψ(4415), or a new resonance do not show significant contributions from either of these resonances. The second enhancement is not from a single known resonance. It could contain contributions from ψ(4415) and other resonances, and a detailed amplitude analysis is required to better understand this enhancement.
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Ferroli RB, Ban Y, Begzsuren K, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen PL, Chen SJ, Chen YB, Cibinetto G, Cossio F, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Duan PF, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Fegan S, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao XL, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Haddadi Z, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Holtmann T, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Andersson WI, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XS, Kavatsyuk M, Ke BC, Khan T, Khoukaz A, Kiese P, Kliemt R, Koch L, Kolcu OB, Kopf B, Kornicer M, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lange JS, Lara M, Larin P, Lavezzi L, Leiber S, Leithoff H, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li K, Li L, Li PL, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HL, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales CM, Morello G, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Richter M, Ripka M, Rolo M, Rong G, Rosner C, Sarantsev A, Savrié M, Schnier C, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Song JJ, Song WM, Song XY, Sosio S, Sowa C, Spataro S, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Tapan I, Tiemens M, Tsednee B, Uman I, Varner GS, Wang B, Wang BL, Wang CW, Wang DY, Wang D, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XF, Wang Y, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia X, Xia Y, Xiao D, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu QN, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang SL, Yang YH, Yang YX, Yang Y, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zallo A, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Determination of the Pseudoscalar Decay Constant f_{D_{s}^{+}} via D_{s}^{+}→μ^{+}ν_{μ}. PHYSICAL REVIEW LETTERS 2019; 122:071802. [PMID: 30848637 DOI: 10.1103/physrevlett.122.071802] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 01/18/2019] [Indexed: 06/09/2023]
Abstract
Using a 3.19 fb^{-1} data sample collected at an e^{+}e^{-} center-of-mass energy of E_{cm}=4.178 GeV with the BESIII detector, we measure the branching fraction of the leptonic decay D_{s}^{+}→μ^{+}ν_{μ} to be B_{D_{s}^{+}→μ^{+}ν_{μ}}=(5.49±0.16_{stat}±0.15_{syst})×10^{-3}. Combining our branching fraction with the masses of the D_{s}^{+} and μ^{+} and the lifetime of the D_{s}^{+}, we determine f_{D_{s}^{+}}|V_{cs}|=246.2±3.6_{stat}±3.5_{syst} MeV. Using the c→s quark mixing matrix element |V_{cs}| determined from a global standard model fit, we evaluate the D_{s}^{+} decay constant f_{D_{s}^{+}}=252.9±3.7_{stat}±3.6_{syst} MeV. Alternatively, using the value of f_{D_{s}^{+}} calculated by lattice quantum chromodynamics, we find |V_{cs}|=0.985±0.014_{stat}±0.014_{syst}. These values of B_{D_{s}^{+}→μ^{+}ν_{μ}}, f_{D_{s}^{+}}|V_{cs}|, f_{D_{s}^{+}} and |V_{cs}| are each the most precise results to date.
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