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Hunt K, Fang J, Saengsuwan J, Grob M, Laubacher M. On the efficiency of FES cycling: A framework and systematic review. Technol Health Care 2012; 20:395-422. [DOI: 10.3233/thc-2012-0689] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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377
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Vergouwen MDI, Fang J, Casaubon LK, Kapral MK, Stamplecoski M, Robertson A, Silver FL. A 5-item prediction rule to identify severe renal dysfunction in patients with acute stroke. AJNR Am J Neuroradiol 2012; 33:1449-54. [PMID: 22492569 DOI: 10.3174/ajnr.a3013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Although patients with severe renal dysfunction who receive iodinated contrast are at high risk of CIN, contrast-enhanced CT scans are often obtained without prior knowledge of kidney function in patients with acute stroke. We aimed to develop a tool to identify patients with acute stroke at a high risk of CIN in the absence of a recent GFR. MATERIALS AND METHODS We used the RCSN (9872 patients) and OSA (2544 patients) for our derivation and validation cohort, respectively. A multivariable logistic regression model was performed to develop a predictive tool to identify severe renal dysfunction (defined as a GFR < 30 mL/min/1.73 m(2)). RESULTS The overall prevalence of severe renal dysfunction was 4.9% and 5.2% in the derivation and validation cohort, respectively. The prediction rule was designed as follows: (age in years) + (5 points for women) + (5 points for history of diabetes mellitus) + (15 points for preadmission insulin use) + (10 points for history of hypertension). The prevalence of severe renal dysfunction is negligible in patients with a total score of ≤70 (≤0.005%-0.7%) but increases with higher Renal Risk Scores (eg, scores 71-80: 2.1%-2.2%; scores 91-100: 6.6%-7.1%; scores 111-120: 15.9%-28.1%). CONCLUSIONS The Renal Risk Score is a validated tool that helps clinicians select which patients with stroke can safely proceed to contrast-enhanced brain imaging without waiting for laboratory evidence of good renal function.
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Fang J, Bull CL, Loveday JS, Nelmes RJ, Kamenev KV. Strength analysis and optimisation of double-toroidal anvils for high-pressure research. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2012; 83:093902. [PMID: 23020389 DOI: 10.1063/1.4746993] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
We used the finite element method for stress and deformation analysis of the large sample volume double-toroidal anvil and gasket assembly used with the Paris-Edinburgh press for neutron scattering, in order to investigate the failure of this assembly observed repeatedly in experiments at a load of approximately 240 tonnes. The analysis is based on a new approach to modelling an opposed anvil device working under extreme stress conditions. The method relies on use of experimental data to validate the simulation in the absence of the material property data available for high pressure conditions. Using this method we analysed the stress distribution on the surface and in the bulk of the double-toroidal anvils, and we conclude that the failure occurs on the surface of the anvil and that it is caused by the tensile stress. We also use the model to show possible ways of optimising the anvil design in order to extend its operational pressure range.
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379
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Bromberg L, Fayette M, Martens B, Luo ZP, Wang Y, Xu D, Zhang J, Fang J, Dimitrov N. Catalytic Performance Comparison of Shape-Dependent Nanocrystals and Oriented Ultrathin Films of Pt4Cu Alloy in the Formic Acid Oxidation Process. Electrocatalysis (N Y) 2012. [DOI: 10.1007/s12678-012-0109-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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380
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Du W, Wang S, Zhou Q, Li X, Chu J, Chang Z, Tao Q, Ng EKO, Fang J, Sung JJY, Yu J. ADAMTS9 is a functional tumor suppressor through inhibiting AKT/mTOR pathway and associated with poor survival in gastric cancer. Oncogene 2012; 32:3319-28. [PMID: 22907434 DOI: 10.1038/onc.2012.359] [Citation(s) in RCA: 81] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2012] [Revised: 06/27/2012] [Accepted: 06/30/2012] [Indexed: 12/15/2022]
Abstract
Using genome-wide promoter methylation analysis, we identified a disintegrin-like and metalloprotease with thrombospondin type 1 motif 9 (ADAMTS9) is methylated in cancer. We aim to clarify its epigenetic inactivation, biological function and clinical implication in gastric cancer. ADAMTS9 was silenced in 6 out of 8 gastric cancer cell lines. The loss of ADAMTS9 expression was regulated by promoter hypermethylation and could be restored by demethylation agent. Ectopic expression of ADAMTS9 in gastric cancer cell lines (AGS, BGC823) inhibited cell growth curve in both the cell lines (P<0.0001), suppressed colony formation (P<0.01) and induced apoptosis (P<0.001 in AGS, P<0.01 in BGC823). Moreover, conditioned culture medium from ADAMTS9-transfected cell lines significantly disrupted the human umbilical vein endothelial cell tube formation capacity on Matrigel (P<0.01 in AGS, P<0.001 in BGC823). The in vivo growth of ADAMTS9 cells in nude mice was also markedly diminished after stable expression of ADAMTS9 (P<0.001). On the other hand, ADAMTS9 knockdown promoted cell proliferation (P<0.001). We further revealed that ADAMTS9 inhibited tumor growth by blocking activation of Akt and its downstream target the mammalian target of rapamycin (mTOR). ADAMTS9 also reduced phosphorylation of mTOR downstream targets p70 ribosomal S6 kinase, eIF4E-binding protein and downregulated hypoxia-inducible factor-1α. Therefore, this is the first demonstration that ADAMTS9 is a critical tumor suppressor of gastric cancer progression at least in part through suppression of oncogenic AKT/mTOR signaling. Moreover, promoter methylation of ADAMTS9 was detected in 29.2% (21/72) of primary gastric tumors. Multivariate analysis showed that patients with ADAMTS9 methylation had a poorer overall survival (relative risk (RR)=2.788; 95% confidence interval, 1.474-5.274; P=0.002). Kaplan-Meier survival curves showed that ADAMTS9 methylation was significantly associated with shortened survival in gastric cancer patients (P=0.001, log-rank test). In conclusion, ADAMTS9 acts as a functional tumor suppressor in gastric cancer through inhibiting oncogenic AKT/mTOR signaling pathway. Methylation of ADAMTS9 is an independent prognostic factor of gastric cancer.
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Dang Y, Wu B, Sun Y, Mo D, Wang X, Zhang J, Fang J. Quantitative assessment of external carotid artery territory supply with modified vessel-encoded arterial spin-labeling. AJNR Am J Neuroradiol 2012; 33:1380-6. [PMID: 22345497 DOI: 10.3174/ajnr.a2978] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE In patients with carotid stenosis or occlusion, cerebral blood could be supplied through collateral pathways to improve regional blood flow and protect against ischemic events. The contribution of collaterals from the ICA can be assessed by depiction of vascular perfusion territories with ASL. However, so far there is no method available to evaluate the collateral perfusion territory from the ECA in MR imaging. In this study, we present a new labeling scheme based on VE-ASL to quantitatively assess the perfusion territory of the ECA. MATERIALS AND METHODS A new labeling approach with a Hadamard encoding scheme was developed to label major arteries, especially the ECA. Twelve healthy subjects with normal cerebrovascular anatomy were examined to demonstrate their perfusion territories. Eight patients with carotid artery stenosis or occlusion were assessed before and after surgery to show changes of their collateral blood supply. RESULTS The proposed method enables assessment of the perfusion territories of the ECA. Good agreement was found between the vascular territories and normal cerebrovascular anatomy in healthy subjects. For the patients with carotid stenosis or occlusion, our noninvasive results provided information on collateral flow comparable with that from DSA. Their collateral flows from the ECA, moreover, could be quantitatively estimated pre- and postoperatively. CONCLUSIONS The modified approach has been validated by the consistency of collateral perfusion territories with cerebrovascular anatomy, and quantitative assessment of collaterals proved useful for assisting in evaluating therapeutic interventions.
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Ablikim M, Achasov MN, Ambrose DJ, An FF, An Q, An ZH, Bai JZ, Ban Y, Becker J, Berger N, Bertani M, Bian JM, Boger E, Bondarenko O, Boyko I, Briere RA, Bytev V, Cai X, Calcaterra A, Cao GF, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen Y, Chen YB, Cheng HP, Chu YP, Cronin-Hennessy D, Dai HL, Dai JP, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, Ding WM, Ding Y, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Fava L, Feldbauer F, Feng CQ, Ferroli RB, Fu CD, Fu JL, Gao Y, Geng C, Goetzen K, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo YP, Han YL, Hao XQ, Harris FA, He KL, He M, He ZY, Held T, Heng YK, Hou ZL, Hu HM, Hu JF, Hu T, Huang B, Huang GM, Huang JS, Huang XT, Huang YP, Hussain T, Ji CS, Ji Q, Ji XB, Ji XL, Jia LK, Jiang LL, Jiang XS, Jiao JB, Jiao Z, Jin DP, Jin S, Jing FF, Kalantar-Nayestanaki N, Kavatsyuk M, Kuehn W, Lai W, Lange JS, Leung JKC, Li CH, Li C, Li C, Li DM, Li F, Li G, Li HB, Li JC, Li K, Li L, Li NB, Li QJ, Li SL, Li WD, Li WG, Li XL, Li XN, Li XQ, Li XR, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao XT, Liu BJ, Liu BJ, Liu CL, Liu CX, Liu CY, Liu FH, Liu F, Liu F, Liu H, Liu HB, Liu HH, Liu HM, Liu HW, Liu JP, Liu KY, Liu K, Liu K, Liu PL, Liu SB, Liu X, Liu XH, Liu Y, Liu YB, Liu ZA, Liu Z, Liu Z, Loehner H, Lu GR, Lu HJ, Lu JG, Lu QW, Lu XR, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lv M, Ma CL, Ma FC, Ma HL, Ma QM, Ma S, Ma T, Ma XY, Ma Y, Maas FE, Maggiora M, Malik QA, Mao H, Mao YJ, Mao ZP, Messchendorp JG, Min J, Min TJ, Mitchell RE, Mo XH, Morales Morales C, Motzko C, Muchnoi NY, Nefedov Y, Nicholson C, Nikolaev IB, Ning Z, Olsen SL, Ouyang Q, Pacetti S, Park JW, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Poling R, Prencipe E, Pun CSJ, Qi M, Qian S, Qiao CF, Qin XS, Qin Y, Qin ZH, Qiu JF, Rashid KH, Rong G, Ruan XD, Sarantsev A, Schaefer BD, Schulze J, Shao M, Shen CP, Shen XY, Sheng HY, Shepherd MR, Song XY, Spataro S, Spruck B, Sun DH, Sun GX, Sun JF, Sun SS, Sun XD, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Thorndike EH, Tian HL, Toth D, Ullrich M, Varner GS, Wang B, Wang BQ, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang Q, Wang QJ, Wang SG, Wang XF, Wang XL, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wei DH, Weidenkaff P, Wen QG, Wen SP, Werner M, Wiedner U, Wu LH, Wu N, Wu SX, Wu W, Wu Z, Xia LG, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu GM, Xu H, Xu QJ, Xu XP, Xu Y, Xu ZR, Xue F, Xue Z, Yan L, Yan WB, Yan YH, Yang HX, Yang T, Yang Y, Yang YX, Ye H, Ye M, Ye MH, Yu BX, Yu CX, Yu JS, Yu L, Yu SP, Yuan CZ, Yuan WL, Yuan Y, Zafar AA, Zallo A, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JG, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang L, Zhang SH, Zhang TR, Zhang XJ, Zhang XY, Zhang Y, Zhang YH, Zhang YS, Zhang ZP, Zhang ZY, Zhao G, Zhao HS, Zhao JW, Zhao KX, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao XH, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zheng ZP, Zhong B, Zhong J, Zhou L, Zhou XK, Zhou XR, Zhu C, Zhu K, Zhu KJ, Zhu SH, Zhu XL, Zhu XW, Zhu YM, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH, Zuo JX. First observation of the M1 transition ψ(3686)→γη(c)(2S). PHYSICAL REVIEW LETTERS 2012; 109:042003. [PMID: 23006078 DOI: 10.1103/physrevlett.109.042003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2012] [Indexed: 06/01/2023]
Abstract
Using a sample of 106×10(6) ψ(3686) events collected with the BESIII detector at the BEPCII storage ring, we have made the first measurement of the M1 transition between the radially excited charmonium S-wave spin-triplet and the radially excited S-wave spin-singlet states: ψ(3686)→γη(c)(2S). Analyses of the processes ψ(3686)→γη(c)(2S) with η(c)(2S)→K(S)(0)K(±)π(∓) and K(+)K(-)π(0) give an η(c)(2S) signal with a statistical significance of greater than 10 standard deviations under a wide range of assumptions about the signal and background properties. The data are used to obtain measurements of the η(c)(2S) mass (M(η(c)(2S))=3637.6±2.9(stat)±1.6(syst) MeV/c(2)), width (Γ(η(c)(2S))=16.9±6.4(stat)±4.8(syst) MeV), and the product branching-fraction (B(ψ(3686)→γη(c)(2S))×B(η(c)(2S)→KKπ)=(1.30±0.20(stat)±0.30(syst))×10(-5)). Combining our result with a BABAR measurement of B(η(c)(2S)→KKπ), we find the branching fraction of the M1 transition to be B(ψ(3686)→γη(c)(2S))=(6.8±1.1(stat)±4.5(syst))×10(-4).
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Wang X, Li X, Fan F, Jiao S, Wang L, Zhu L, Pan Y, Wu G, Ling ZQ, Fang J, Chen Y. PAQR3 Plays a Suppressive Role in the Tumorigenesis of Colorectal Cancers. Carcinogenesis 2012; 33:2228-35. [DOI: 10.1093/carcin/bgs245] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
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384
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Kabashima K, Yoshinaga D, Fang J, Matsuzaki M, Suzuki H. Cell cycle-dependent dynamics of cytoskeleton involving mitochondrial redistribution in hamster embryos. Reprod Domest Anim 2012; 48:267-71. [PMID: 22734634 DOI: 10.1111/j.1439-0531.2012.02143.x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Mitochondria-cytoskeleton interactions were studied in the hamster embryos during interphase and M phase of the cell cycle. Two-cell embryos were cultured for 1 h with nocodazole, cytochalasin D or in a combination of both inhibitors and then centrifuged at 10,000 × g for 2 min. The control embryos were only centrifuged with no inhibitor treatment. Centrifuged embryos were fluorescently stained to examine the distribution of active mitochondria and nuclear configuration. In the control 2-cell embryos, most mitochondria were accumulated at the perinuclear region with some at the cell cortex. Neither each inhibitor nor centrifugation did affect the distribution of mitochondria in interphase blastomeres. However, mitochondria were spun down towards the centrifugal pole in 71% (n = 41) of the interphase blastomeres treated with centrifugation following a combination of nocodazole plus cytochalasin D, suggesting that both microtubules and microfilaments may involve in mitochondrial redistribution during interphase of the cell cycle. In contrast, when M-phase blastomeres were treated with all drug treatments applied, including cytochalasin D, mitochondria had been usually dislocated in a unipolar cluster, suggesting that microfilaments, not microtubules, may involve in the mitochondrial redistribution during M phase of the cell cycle. The data indicate that microfilaments function in mitochondrial redistribution regardless of the stages of the cell cycle and that microtubules may strongly associate with mitochondria during the interphase but dissociate from them during the M phase.
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Brodsky M, Cho J, Fang J, Kim E, Cho Y, Song M. P02.02. Efficacy of a topical 0.1% Capsaicin hydrogel patch to treat chronic neck pain: a double-blind randomized clinical trial. BMC COMPLEMENTARY AND ALTERNATIVE MEDICINE 2012. [PMCID: PMC3373919 DOI: 10.1186/1472-6882-12-s1-p58] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Ablikim M, Achasov MN, Alberto D, Ambrose DJ, An FF, An Q, An ZH, Bai JZ, Ferroli RB, Ban Y, Becker J, Berger N, Bertani MB, Bian JM, Boger E, Bondarenko O, Boyko I, Briere RA, Bytev V, Cai X, Calcaterra AC, Cao GF, Chang JF, Chelkov G, Chen G, Chen HS, Chen HX, Chen JC, Chen ML, Chen SJ, Chen Y, Chen YB, Cheng HP, Chu YP, Cronin-Hennessy D, Dai HL, Dai JP, Dedovich D, Deng ZY, Denysenko I, Destefanis M, Ding WL, Ding Y, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Feng CQ, Fu CD, Fu JL, Gao Y, Geng C, Goetzen K, Gong WX, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo YP, Han YL, Hao XQ, Harris FA, He KL, He M, He ZY, Heng YK, Hou ZL, Hu HM, Hu JF, Hu T, Huang B, Huang GM, Huang JS, Huang XT, Huang YP, Hussain T, Ji CS, Ji Q, Ji XB, Ji XL, Jia LK, Jiang LL, Jiang XS, Jiao JB, Jiao Z, Jin DP, Jin S, Jing FF, Kalantar-Nayestanaki N, Kavatsyuk M, Kuehn W, Lai W, Lange JS, Leung JKC, Li CH, Li C, Li C, Li DM, Li F, Li G, Li HB, Li JC, Li K, Li L, Li NB, Li QJ, Li SL, Li WD, Li WG, Li XL, Li XN, Li XQ, Li XR, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao XT, Liu BJ, Liu CL, Liu CX, Liu CY, Liu FH, Liu F, Liu F, Liu H, Liu HB, Liu HH, Liu HM, Liu HW, Liu JP, Liu K, Liu K, Liu KY, Liu Q, Liu SB, Liu X, Liu XH, Liu YB, Liu Y, Liu ZA, Liu Z, Liu Z, Loehner H, Lu GR, Lu HJ, Lu JG, Lu QW, Lu XR, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lv M, Ma CL, Ma FC, Ma HL, Ma QM, Ma S, Ma T, Ma XY, Maggiora M, Malik QA, Mao H, Mao YJ, Mao ZP, Messchendorp JG, Min J, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Nefedov Y, Nikolaev IB, Ning Z, Olsen SL, Ouyang Q, Pacetti SP, Park JW, Pelizaeus M, Peters K, Ping JL, Ping RG, Poling R, Pun CSJ, Qi M, Qian S, Qiao CF, Qin XS, Qiu JF, Rashid KH, Rong G, Ruan XD, Sarantsev A, Schulze J, Shao M, Shen CP, Shen XY, Sheng HY, Shepherd MR, Song XY, Spataro S, Spruck B, Sun DH, Sun GX, Sun JF, Sun SS, Sun XD, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Thorndike EH, Tian HL, Toth D, Varner GS, Wang B, Wang BQ, Wang K, Wang LL, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang Q, Wang QJ, Wang SG, Wang XF, Wang XL, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wei DH, Wen QG, Wen SP, Wiedner U, Wu LH, Wu N, Wu W, Wu Z, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu GM, Xu H, Xu QJ, Xu XP, Xu Y, Xu ZR, Xue Z, Yan L, Yan WB, Yan YH, Yang HX, Yang T, Yang Y, Yang YX, Ye H, Ye M, Ye MH, Yu BX, Yu CX, Yu SP, Yuan CZ, Yuan WL, Yuan Y, Zafar AA, Zallo AZ, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang L, Zhang SH, Zhang TR, Zhang XJ, Zhang XY, Zhang Y, Zhang YH, Zhang YS, Zhang ZP, Zhang ZY, Zhao G, Zhao HS, Zhao J, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao XH, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zheng ZP, Zhong B, Zhong J, Zhou L, Zhou XK, Zhou XR, Zhu C, Zhu K, Zhu KJ, Zhu SH, Zhu XL, Zhu XW, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH, Zuo JX. Measurements of the mass and width of the η(c) using the decay ψ(3686)→γη(c). PHYSICAL REVIEW LETTERS 2012; 108:222002. [PMID: 23003588 DOI: 10.1103/physrevlett.108.222002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2011] [Indexed: 06/01/2023]
Abstract
The mass and width of the lowest-lying S-wave spin singlet charmonium state, the η(c), are measured using a data sample of 1.06×10(8) ψ(3686) decays collected with the BESIII detector at the BEPCII storage ring. We use a model that incorporates full interference between the signal reaction, ψ(3686)→γη(c), and a nonresonant radiative background to describe the line shape of the η(c) successfully. We measure the η(c) mass to be 2984.3±0.6±0.6 MeV/c(2) and the total width to be 32.0±1.2±1.0 MeV, where the first errors are statistical and the second are systematic.
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Ablikim M, Achasov MN, Alberto D, Ambrose DJ, An FF, An Q, An ZH, Bai JZ, Baldini Ferroli RBF, Ban Y, Becker J, Berger N, Bertani MB, Bian JM, Boger E, Bondarenko O, Boyko I, Briere RA, Bytev V, Cai X, Calcaterra AC, Cao GF, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen Y, Chen YB, Cheng HP, Chu YP, Cronin-Hennessy D, Dai HL, Dai JP, Dedovich D, Deng ZY, Denysenko I, Destefanis M, Ding Ding WL, Ding Y, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Feng CQ, Fu CD, Fu JL, Gao Y, Geng C, Goetzen K, Gong WX, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo YP, Han YL, Hao XQ, Harris FA, He KL, He M, He ZY, Heng YK, Hou ZL, Hu HM, Hu JF, Hu T, Huang B, Huang GM, Huang JS, Huang XT, Huang YP, Hussain T, Ji CS, Ji Q, Ji XB, Ji XL, Jia LK, Jiang LL, Jiang XS, Jiao JB, Jiao Z, Jin DP, Jin S, Jing FF, Kalantar-Nayestanaki N, Kavatsyuk M, Kuehn W, Lai W, Lange JS, Leung JKC, Li CH, Li C, Li C, Li DM, Li F, Li G, Li HB, Li JC, Li K, Li L, Li NB, Li QJ, Li SL, Li WD, Li WG, Li XL, Li XN, Li XQ, Li XR, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao XT, Liu BJ, Liu CL, Liu CX, Liu CY, Liu FH, Liu F, Liu F, Liu H, Liu HB, Liu HH, Liu HM, Liu HW, Liu JP, Liu K, Liu K, Liu KY, Liu Q, Liu SB, Liu X, Liu XH, Liu YB, Liu Y, Liu ZA, Liu Z, Liu Z, Loehner H, Lu GR, Lu HJ, Lu JG, Lu QW, Lu XR, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lv M, Ma CL, Ma FC, Ma HL, Ma QM, Ma S, Ma T, Ma XY, Maggiora M, Malik QA, Mao H, Mao YJ, Mao ZP, Messchendorp JG, Min J, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Nefedov Y, Nikolaev IB, Ning Z, Olsen SL, Ouyang Q, Pacetti SP, Park JW, Pelizaeus M, Peters K, Ping JL, Ping RG, Poling R, Pun CSJ, Qi M, Qian S, Qiao CF, Qin XS, Qiu JF, Rashid KH, Rong G, Ruan XD, Sarantsev A, Schulze J, Shao M, Shen CP, Shen XY, Sheng HY, Shepherd MR, Song XY, Spataro S, Spruck B, Sun DH, Sun GX, Sun JF, Sun SS, Sun XD, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Thorndike EH, Tian HL, Toth D, Varner GS, Wan X, Wang B, Wang BQ, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang Q, Wang QJ, Wang SG, Wang XF, Wang XL, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wei DH, Wen QG, Wen SP, Wiedner U, Wu LH, Wu N, Wu W, Wu Z, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu GM, Xu H, Xu QJ, Xu XP, Xu Y, Xu ZR, Xue Z, Yan L, Yan WB, Yan YH, Yang HX, Yang T, Yang Y, Yang YX, Ye H, Ye M, Ye MH, Yu BX, Yu CX, Yu SP, Yuan CZ, Yuan WL, Yuan Y, Zafar AA, Zallo AZ, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang L, Zhang SH, Zhang TR, Zhang XJ, Zhang XY, Zhang Y, Zhang YH, Zhang YS, Zhang ZP, Zhang ZY, Zhao G, Zhao HS, Zhao J, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao XH, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zheng ZP, Zhong B, Zhong J, Zhou L, Zhou XK, Zhou XR, Zhu C, Zhu K, Zhu KJ, Zhu SH, Zhu XL, Zhu XW, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH, Zuo JX. First observation of η(1405) decays into f(0)(980)π0. PHYSICAL REVIEW LETTERS 2012; 108:182001. [PMID: 22681064 DOI: 10.1103/physrevlett.108.182001] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2012] [Indexed: 06/01/2023]
Abstract
The decays J/ψ → γ π+ π- π0 and J/ψ → γ π0 π0 π0 are analyzed using a sample of 225×10(6) J/ψ events collected with the BESIII detector. The decay of η(1405) → f(0)(980)π0 with a large isospin violation is observed for the first time. The width of the f(0)(980) observed in the dipion mass spectra is anomalously narrower than the world average. Decay rates for three-pion decays of the η' are also measured precisely.
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Ablikim M, Achasov MN, Alberto D, Ambrose DJ, An FF, An Q, An ZH, Bai JZ, Baldini Ferroli RBF, Ban Y, Becker J, Berger N, Bertani MB, Bian JM, Boger E, Bondarenko O, Boyko I, Briere RA, Bytev V, Cai X, Calcaterra AC, Cao GF, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen Y, Chen YB, Cheng HP, Chu YP, Cronin-Hennessy D, Dai HL, Dai JP, Dedovich D, Deng ZY, Denysenko I, Destefanis M, Ding Ding WL, Ding Y, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Feng CQ, Fu CD, Fu JL, Gao Y, Geng C, Goetzen K, Gong WX, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo YP, Han YL, Hao XQ, Harris FA, He KL, He M, He ZY, Heng YK, Hou ZL, Hu HM, Hu JF, Hu T, Huang B, Huang GM, Huang JS, Huang XT, Huang YP, Hussain T, Ji CS, Ji Q, Ji XB, Ji XL, Jia LK, Jiang LL, Jiang XS, Jiao JB, Jiao Z, Jin DP, Jin S, Jing FF, Kalantar-Nayestanaki N, Kavatsyuk M, Kuehn W, Lai W, Lange JS, Leung JKC, Li CH, Li C, Li C, Li DM, Li F, Li G, Li HB, Li JC, Li K, Li L, Li NB, Li QJ, Li SL, Li WD, Li WG, Li XL, Li XN, Li XQ, Li XR, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao XT, Liu BJ, Liu CL, Liu CX, Liu CY, Liu FH, Liu F, Liu F, Liu H, Liu HB, Liu HH, Liu HM, Liu HW, Liu JP, Liu K, Liu K, Liu KY, Liu Q, Liu SB, Liu X, Liu XH, Liu YB, Liu Y, Liu ZA, Liu Z, Liu Z, Loehner H, Lu GR, Lu HJ, Lu JG, Lu QW, Lu XR, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lv M, Ma CL, Ma FC, Ma HL, Ma QM, Ma S, Ma T, Ma XY, Maggiora M, Malik QA, Mao H, Mao YJ, Mao ZP, Messchendorp JG, Min J, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Nefedov Y, Nikolaev IB, Ning Z, Olsen SL, Ouyang Q, Pacetti SP, Park JW, Pelizaeus M, Peters K, Ping JL, Ping RG, Poling R, Pun CSJ, Qi M, Qian S, Qiao CF, Qin XS, Qiu JF, Rashid KH, Rong G, Ruan XD, Sarantsev A, Schulze J, Shao M, Shen CP, Shen XY, Sheng HY, Shepherd MR, Song XY, Spataro S, Spruck B, Sun DH, Sun GX, Sun JF, Sun SS, Sun XD, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Thorndike EH, Tian HL, Toth D, Varner GS, Wang B, Wang BQ, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang Q, Wang QJ, Wang SG, Wang XF, Wang XL, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wei DH, Wen QG, Wen SP, Wiedner U, Wu LH, Wu N, Wu W, Wu Z, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu GM, Xu H, Xu QJ, Xu XP, Xu Y, Xu ZR, Xue Z, Yan L, Yan WB, Yan YH, Yang HX, Yang T, Yang Y, Yang YX, Ye H, Ye M, Ye MH, Yu BX, Yu CX, Yu SP, Yuan CZ, Yuan WL, Yuan Y, Zafar AA, Zallo AZ, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang L, Zhang SH, Zhang TR, Zhang XJ, Zhang XY, Zhang Y, Zhang YH, Zhang YS, Zhang ZP, Zhang ZY, Zhao G, Zhao HS, Zhao J, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao XH, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zheng ZP, Zhong B, Zhong J, Zhou L, Zhou XK, Zhou XR, Zhu C, Zhu K, Zhu KJ, Zhu SH, Zhu XL, Zhu XW, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH, Zuo JX. Spin-parity analysis of pp¯ mass threshold structure in J/ψ and ψ(3686) radiative decays. PHYSICAL REVIEW LETTERS 2012; 108:112003. [PMID: 22540467 DOI: 10.1103/physrevlett.108.112003] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2011] [Indexed: 05/31/2023]
Abstract
A partial wave analysis of the pp¯ mass-threshold enhancement in the reaction J/ψ→γpp¯ is used to determine its J(PC) quantum numbers to be 0(-+), its peak mass to be below threshold at M=1832(-5)(+19)(stat)(-17)(+18)(syst)±19(model) MeV/c(2), and its total width to be Γ<76 MeV/c(2) at the 90% C.L. The product of branching ratios is measured to be BR[J/ψ→γX(pp¯)]BR[X(pp¯)→pp¯]=[9.0(-1.1)(+0.4)(stat)(-5.0)(+1.5)(syst)±2.3(model)]×10(-5). A similar analysis performed on ψ(3686)→γpp¯ decays shows, for the first time, the presence of a corresponding enhancement with a production rate relative to that for J/ψ decays of R=[5.08(-0.45)(+0.71)(stat)(-3.58)(+0.67)(syst)±0.12(model)]%.
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Fang J, Wheaton AG, Keenan NL, Greenlund KJ, Perry GS, Croft JB. Association of sleep duration and hypertension among US adults varies by age and sex. Am J Hypertens 2012; 25:335-41. [PMID: 22052075 DOI: 10.1038/ajh.2011.201] [Citation(s) in RCA: 93] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND While short sleep duration has been related to hypertension, the impact of age and sex on this association is less well known. We examined the association between hours of sleep and hypertension prevalence among US adults by age and sex. METHODS The study was conducted using data from the 2007-2009 National Health Interview Surveys (NHISs). The association between self-reported hours of sleep and prevalence of hypertension was assessed after stratifying by age and sex. RESULTS Among 71,455 participants, age-standardized hypertension prevalence rates (%) were 32.4, 25.5, 22.2, 23.2, 25.5, and 32.5 among adults reporting sleep of <6, 6, 7, 8, 9, and ≥10 h/day, respectively (P < 0.001). There was a "U"-shaped association of hours of sleep and hypertension prevalence among all age and sex subgroups. Logistic regression models, using 8 h sleep/day as the referent, showed a greater likelihood of hypertension among those who slept <7 or ≥10 h/day after adjusting for sociodemographic, behavior, and health characteristics. Further stratifying by age and sex, while adjusting for all other characteristics, revealed that among adults less than 45 years, short (<6 h for men and <8 h for women) and long (≥10 h for men) sleep were associated with higher likelihood of hypertension. For other age/sex groups, short sleep (<6 h) was associated with higher likelihood of hypertension among middle-aged men and older women, as was long sleep (≥10 h) among middle-aged women. CONCLUSIONS This national sample study suggests that the association between hours of sleep and hypertension varies by age and sex.
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Zheng DD, Liu ZH, Fang J, Wang XY, Zhang J. The effect of age and cerebral ischemia on diffusion-weighted proton MR spectroscopy of the human brain. AJNR Am J Neuroradiol 2012; 33:563-8. [PMID: 22081680 PMCID: PMC7966455 DOI: 10.3174/ajnr.a2793] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2011] [Accepted: 06/16/2011] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE DW-MRS is a promising tool for the noninvasive identification of the cellular response to cerebral ischemia. To date, the potential confounding effects of aging and the stage of ischemia are unknown. We, therefore, examined the cross-sectional effects of age and different stages of cerebral ischemia on the diffusion of brain metabolites. MATERIALS AND METHODS The ADCs of 3 major metabolites, including Cho, Cr, and NAA were measured by DW-MRS in healthy younger (n = 26, 24 ± 2.2 years of age) and older (n = 17, 63 ± 7.0 years of age) adults, as well as in patients with acute (n = 7, 57 ± 4.0 years of age) and subacute (n = 12, 62 ± 7.8 years of age) cerebral ischemia. RESULTS Compared with younger adults, healthy older adults presented with significantly reduced ADC values of NAA (P = .000052), Cr (P = .000018), and Cho (P = .00075). Meanwhile, the ADC values of NAA (F(2,36) = 6.057, P = .006), Cr (F(2,36) = 5.634, P = .008), and Cho (F(2,36) = 8.167, P = .001) were significantly different among the acute cerebral ischemia group, subacute cerebral ischemia group, and healthy older controls. These metabolites decreased in the acute stage of cerebral ischemia but increased in the subacute stage, compared with age-matched controls. CONCLUSIONS The effect of age should be considered when analyzing diffusion of cerebral metabolites with DW-MRS. Our observations also suggest that metabolite diffusion data may be used to reveal changes in the intracellular environment, depending on the pathologic status of ischemia.
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Meyer M, Murie-Fernandez M, Hall R, Liu Y, Fang J, Salter K, Foley N, Teasell R. Assessing the Impact of Thrombolysis on Progress through Inpatient Rehabilitation after Stroke: A Multivariable Approach. Int J Stroke 2012; 7:460-4. [DOI: 10.1111/j.1747-4949.2011.00729.x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Background Acute administration of tissue plasminogen activator has been shown to improve immediate and long-term patient recovery after ischaemic stroke. Yet, despite widespread clinical application, many patients who receive acute tissue plasminogen activator still require inpatient rehabilitation. Aims and Hypothesis This study aimed to examine the effect of tissue plasminogen activator administration on recovery among patients requiring inpatient rehabilitation after stroke in Ontario, Canada. It was hypothesized that after covariate adjustment, administration of tissue plasminogen activator would be associated with accelerated progress through inpatient rehabilitation. Methods Acute and rehabilitation data were retrieved from the Registry of the Canadian Stroke Network and the National Rehabilitation Reporting System for all ischaemic stroke patients admitted to an acute facility and a rehabilitation unit between July 1, 2003 and March 31,2008. Patients were divided into two groups: those who received tissue plasminogen activator and those who were medically eligible but did not receive tissue plasminogen activator. Three rehabilitation progress indicators were compared between groups: Functional Independence Measure gain, active length of stay, and discharge destination. Indicators were modelled using multivariable generalized linear models or logistic regression as appropriate. Results Patients who received tissue plasminogen activator experienced shorter active lengths of stay (log estimate ± standard error: −0.04 ± 0.01 days), and were slightly more likely to be discharged home compared to controls (adjusted odds ratio 1.35, 95% confidence interval 1.004–1.82). No differences were noted on Functional Independence Measure gain during rehabilitation. Conclusion Results suggest that tissue plasminogen activator may contribute to accelerated progress through inpatient rehabilitation; however, there is no evidence to suggest that it contributes to greater functional improvement as measured by the Functional Independence Measure.
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Chen W, Fang J, Dong YR, Di Y, Li W. Teaching NeuroImages: Isolated vertigo and imbalance due to deep border zone cerebellar infarct. Neurology 2012; 77:e122. [PMID: 22105956 DOI: 10.1212/wnl.0b013e318238ee31] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Ablikim M, Achasov MN, Alberto D, An Q, An ZH, Bai JZ, Baldini R, Ban Y, Becker J, Berger N, Bertani M, Bian JM, Bondarenko O, Boyko I, Briere RA, Bytev V, Cai X, Calcaterra AC, Cao GF, Cao XX, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen Y, Chen YB, Cheng HP, Chu YP, Cronin-Hennessy D, Dai HL, Dai JP, Dedovich D, Deng ZY, Denysenko I, Destefanis M, Ding Y, Dong LY, Dong MY, Du SX, Fan RR, Fang J, Fang SS, Feng CQ, Fu CD, Fu JL, Gao Y, Geng C, Goetzen K, Gong WX, Greco M, Grishin S, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo YP, Hao XQ, Harris FA, He KL, He M, He ZY, Heng YK, Hou ZL, Hu HM, Hu JF, Hu T, Huang B, Huang GM, Huang JS, Huang XT, Huang YP, Hussain T, Ji CS, Ji Q, Ji XB, Ji XL, Jia LK, Jiang LL, Jiang XS, Jiao JB, Jiao Z, Jin DP, Jin S, Jing FF, Kalantar-Nayestanaki N, Kavatsyuk M, Komamiya S, Kuehn W, Lange JS, Leung JKC, Li C, Li C, Li DM, Li F, Li G, Li HB, Li JC, Li K, Li L, Li NB, Li QJ, Li WD, Li WG, Li XL, Li XN, Li XQ, Li XR, Li ZB, Liang H, Liang YF, Liang YT, Liao XT, Liu BJ, Liu BJ, Liu CL, Liu CX, Liu CY, Liu FH, Liu F, Liu F, Liu GC, Liu H, Liu HB, Liu HH, Liu HM, Liu HW, Liu JP, Liu K, Liu K, Liu KY, Liu Q, Liu SB, Liu X, Liu XH, Liu YB, Liu YW, Liu Y, Liu ZA, Liu ZQ, Loehner H, Lu GR, Lu HJ, Lu JG, Lu QW, Lu XR, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Ma CL, Ma FC, Ma HL, Ma QM, Ma T, Ma X, Ma XY, Maggiora M, Malik QA, Mao H, Mao YJ, Mao ZP, Messchendorp JG, Min J, Mitchell RE, Mo XH, Muchnoi NY, Nefedov Y, Nikolaev IB, Ning Z, Olsen SL, Ouyang Q, Pacetti S, Pelizaeus M, Peters K, Ping JL, Ping RG, Poling R, Pun CSJ, Qi M, Qian S, Qiao CF, Qin XS, Qiu JF, Rashid KH, Rong G, Ruan XD, Sarantsev A, Schulze J, Shao M, Shen CP, Shen XY, Sheng HY, Shepherd MR, Song XY, Sonoda S, Spataro S, Spruck B, Sun DH, Sun GX, Sun JF, Sun SS, Sun XD, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tian HL, Toth D, Varner GS, Wan X, Wang BQ, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang Q, Wang SG, Wang XL, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wei DH, Wen QG, Wen SP, Wiedner U, Wu LH, Wu N, Wu W, Wu Z, Xiao ZJ, Xie YG, Xu GF, Xu GM, Xu H, Xu QJ, Xu XP, Xu Y, Xu ZR, Xu ZZ, Xue Z, Yan L, Yan WB, Yan YH, Yang HX, Yang M, Yang T, Yang Y, Yang YX, Ye M, Ye MH, Yu BX, Yu CX, Yu L, Yu SPY, Yuan CZ, Yuan WL, Yuan Y, Zafar AA, Zallo A, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JW, Zhang JY, Zhang JZ, Zhang L, Zhang SH, Zhang TR, Zhang XJ, Zhang XY, Zhang Y, Zhang YH, Zhang ZP, Zhang ZY, Zhao G, Zhao HS, Zhao J, Zhao J, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao XH, Zhao YB, Zhao ZG, Zhao ZL, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zheng ZP, Zhong B, Zhong J, Zhong L, Zhou L, Zhou XK, Zhou XR, Zhu C, Zhu K, Zhu KJ, Zhu SH, Zhu XL, Zhu XW, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH, Zuo JX. ηπ+ π- resonant structure around 1.8 GeV/c(2) and η(1405) in J/ψ → ωηπ+ π-. PHYSICAL REVIEW LETTERS 2011; 107:182001. [PMID: 22107625 DOI: 10.1103/physrevlett.107.182001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2011] [Indexed: 05/31/2023]
Abstract
We present results of a study of the decay J/ψ → ωηπ+ π- using a sample of (225.2 ± 2.8) × 10(6) J/ψ events collected by the BESIII detector, and report the observation of a new process J/ψ → ωX(1870) with a statistical significance of 7.2σ, in which X(1870) decays to a(0)(±)(980)π±. Fitting to ηπ+ π- mass spectrum yields a mass M = 1877.3 ± 6.3(stat)(-7.4)(+3.4)(syst) MeV/c(2), a width Γ = 57 ± 12(stat)(-4)(+19)(syst) MeV/c(2), and a product branching fraction B(J/ψ → ωX) × B(X→a(0)(±)(980)π±) × B(a(0) (±)(980) → ηπ±) = [1.50 ± 0.26(stat)(-0.36)(+0.72) (syst)] × 10(-4). Signals for J/ψ → ωf(1)(1285) and J/ψ → ω η(1405) are also clearly observed and measured.
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Fang J, Gollee H, Galen S, Allan DB, Conway BA, Vuckovic A. Kinematic modelling of a robotic gait device for early rehabilitation of walking. Proc Inst Mech Eng H 2011; 225:1177-87. [PMID: 22320057 DOI: 10.1177/0954411911424976] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Rehabilitation of walking is an essential element in the treatment of incomplete spinal cord injured (SCI) patients. During the early post injury period, patients find it challenging to practice upright walking. Simulating stepping movements in a supine posture may be easier and promote earlier rehabilitation. A robotic orthotic device for early intervention in spinal cord injury that does not require the patient to be in an upright posture has been modelled. The model comprises a two-bar mechanical system that is configured and powered to provide limb kinematics that approximate normal overground walking. The modelling work has been based on gait analysis performed on healthy subjects walking at 50 per cent, 75 per cent, and 100 per cent of normal cadence. Simulated angles of hip, knee, and ankle joints show a comparable range of motion (ROM) to the experimental walking data measured in healthy subjects. The model provides operating parameters for a prospective recumbent gait orthosis that could be used in early walking rehabilitation of incomplete SCI patients.
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Fang J, Ling X, Sang ZF. Experimental and Numerical Studies of the Flow Field in a Stirred Tank Equipped with Multiple Side-Entering Agitators. Chem Eng Technol 2011. [DOI: 10.1002/ceat.201100038] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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396
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Ablikim M, Achasov MN, An L, An Q, An ZH, Bai JZ, Baldini R, Ban Y, Becker J, Berger N, Bertani M, Bian JM, Bondarenko O, Boyko I, Briere RA, Bytev V, Cai X, Cao GF, Cao XX, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen Y, Chen YB, Cheng HP, Chu YP, Cronin-Hennessy D, Dai HL, Dai JP, Dedovich D, Deng ZY, Denysenko I, Destefanis M, Ding Y, Dong LY, Dong MY, Du SX, Duan MY, Fan RR, Fang J, Fang SS, Feng CQ, Fu CD, Fu JL, Gao Y, Geng C, Goetzen K, Gong WX, Greco M, Grishin S, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo YP, Hao XQ, Harris FA, He KL, He M, He ZY, Heng YK, Hou ZL, Hu HM, Hu JF, Hu T, Huang B, Huang GM, Huang JS, Huang XT, Huang YP, Hussain T, Ji CS, Ji Q, Ji XB, Ji XL, Jia LK, Jiang LL, Jiang XS, Jiao JB, Jiao Z, Jin DP, Jin S, Jing FF, Kavatsyuk M, Komamiya S, Kuehn W, Lange JS, Leung JKC, Li C, Li C, Li DM, Li F, Li G, Li HB, Li JC, Li L, Li NB, Li QJ, Li WD, Li WG, Li XL, Li XN, Li XQ, Li XR, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao XT, Liu BJ, Liu BJ, Liu CL, Liu CX, Liu CY, Liu FH, Liu F, Liu F, Liu GC, Liu H, Liu HB, Liu HM, Liu HW, Liu JP, Liu K, Liu KY, Liu Q, Liu SB, Liu X, Liu XH, Liu YB, Liu YW, Liu Y, Liu ZA, Liu ZQ, Loehner H, Lu GR, Lu HJ, Lu JG, Lu QW, Lu XR, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Ma CL, Ma FC, Ma HL, Ma QM, Ma T, Ma X, Ma XY, Maggiora M, Malik QA, Mao H, Mao YJ, Mao ZP, Messchendorp JG, Min J, Mitchell RE, Mo XH, Muchnoi NY, Nefedov Y, Ning Z, Olsen SL, Ouyang Q, Pacetti S, Pelizaeus M, Peters K, Ping JL, Ping RG, Poling R, Pun CSJ, Qi M, Qian S, Qiao CF, Qin XS, Qiu JF, Rashid KH, Rong G, Ruan XD, Sarantsev A, Schulze J, Shao M, Shen CP, Shen XY, Sheng HY, Shepherd MR, Song XY, Sonoda S, Spataro S, Spruck B, Sun DH, Sun GX, Sun JF, Sun SS, Sun XD, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tang XF, Tian HL, Toth D, Varner GS, Wan X, Wang BQ, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang Q, Wang SG, Wang XL, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wei DH, Wen QG, Wen SP, Wiedner U, Wu LH, Wu N, Wu W, Wu Z, Xiao ZJ, Xie YG, Xu GF, Xu GM, Xu H, Xu Y, Xu ZR, Xu ZZ, Xue Z, Yan L, Yan WB, Yan YH, Yang HX, Yang M, Yang T, Yang Y, Yang YX, Ye M, Ye MH, Yu BX, Yu CX, Yu L, Yuan CZ, Yuan WL, Yuan Y, Zafar AA, Zallo A, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JW, Zhang JY, Zhang JZ, Zhang L, Zhang SH, Zhang TR, Zhang XJ, Zhang XY, Zhang Y, Zhang YH, Zhang ZP, Zhang ZY, Zhao G, Zhao HS, Zhao J, Zhao J, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao XH, Zhao YB, Zhao ZG, Zhao ZL, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zheng ZP, Zhong B, Zhong J, Zhong L, Zhou L, Zhou XK, Zhou XR, Zhu C, Zhu K, Zhu KJ, Zhu SH, Zhu XL, Zhu XW, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH, Zuo JX, Zweber P. Observation of χ(c1) decays into vector meson pairs φφ, ωω, and ωφ. PHYSICAL REVIEW LETTERS 2011; 107:092001. [PMID: 21929228 DOI: 10.1103/physrevlett.107.092001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2011] [Indexed: 05/31/2023]
Abstract
Using (106±4)×10⁻⁶ ψ(3686) events accumulated with the BESIII detector at the BEPCII e⁺e⁻ collider, we present the first measurement of decays of χ(c1) to vector meson pairs φφ, ωω, and ωφ. The branching fractions are measured to be (4.4±0.3±0.5)×10⁻⁴, (6.0±0.3±0.7)×10⁻⁴, and (2.2±0.6±0.2)×10⁻⁵, for χ(c1)→φφ, ωω, and ωφ, respectively, which indicates that the hadron helicity selection rule is significantly violated in χ(cJ) decays. In addition, the measurement of χ(cJ)→ωφ provides the first indication of the rate of doubly OZI-suppressed χ(cJ) decay. Finally, we present improved measurements for the branching fractions of χ(c0) and χ(c2) to vector meson pairs.
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Campbell C, Woessner H, Freeman WD, Kapral M, Fang J, Saposnik G. Association between weekend hospital presentation and stroke fatality. Neurology 2011; 77:700-1; author reply 701. [DOI: 10.1212/wnl.0b013e31821e9f07] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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398
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Gao Y, Fang J, Zhang J, Ren L, Mao Y, Li B, Zhang M, Liu D, Du M. The impact of the herbicide atrazine on growth and photosynthesis of seagrass, Zostera marina (L.), seedlings. MARINE POLLUTION BULLETIN 2011; 62:1628-1631. [PMID: 21724206 DOI: 10.1016/j.marpolbul.2011.06.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2011] [Revised: 06/10/2011] [Accepted: 06/13/2011] [Indexed: 05/31/2023]
Abstract
The impact of the widely used herbicide atrazine on seedling growth and photosynthesis of eelgrass was determined. The long-term impact of the herbicide atrazine (1, 10 and 100 μg/L) on growth of eelgrass Zostera marina (L.) seedlings, maintained in outdoor aquaria, was monitored over 4 weeks. Exposure to 10 μg/L atrazine resulted in significantly lower plant fresh weight and total chlorophyll concentration and up to 86.67% mortality at the 100 μg/L concentration. Short-term photosynthetic stress on eelgrass seedlings was determined and compared with adult eelgrass using chlorophyll fluorescence. The effective quantum yield in eelgrass seedlings was significantly depressed at all atrazine concentrations (2, 4, 8, 16, 32 and 64 μg/L) even within 2 h and remained at a lower level than for adult plants for each concentration. These results indicate that atrazine presents a potential threat to seagrass seedling functioning and that the impact is much higher than for adult plants.
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Fang J, Cui H, Peng X, Chen Z, He M, Tang L. Developmental changes in cell proliferation and apoptosis in the normal duck thymus. Anat Histol Embryol 2011; 40:457-65. [PMID: 21671996 DOI: 10.1111/j.1439-0264.2011.01094.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Cell proliferation and apoptosis in the normal duck thymus during embryonic and post-embryonic development were studied. The flow cytometry assay shows that the level of G(0)/G(1) thymic cell population and the proportion of apoptotic cells increased with age, while the levels of S phase, G(2) + M phase and the proliferating index decreased with age. Proliferation cell nuclear antigen (PCNA) was mainly detected in the nuclei of lymphocytes. The number of PCNA-positive cells in the cortex and medulla significantly decreased with age. Transferase-mediated dUTP nick-end labelling (TUNEL) reaction stained apoptotic bodies in the cytoplasm of macrophages and free apoptotic bodies or nuclei with condensed chromatin in lymphocytes. The number of TUNEL-positive cells in the cortex and medulla markedly increased with age. The amount of proliferation and apoptotic cells in the thymic cortex was higher than that in the medulla. The balance between proliferation and apoptosis in the duck thymus may account for the process of thymic development and involution.
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Mu J, Liu L, Zhang Q, Si Y, Hu J, Fang J, Gao Y, He J, Li S, Wang W, Wu J, Sander JW, Zhou D. Causes of death among people with convulsive epilepsy in rural West China: a prospective study. Neurology 2011; 77:132-7. [PMID: 21653888 DOI: 10.1212/wnl.0b013e318223c784] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Epilepsy is a serious health problem associated with an increased risk of premature mortality. Few studies have investigated risk factors for this. Understanding these risks may enable the implementation of preventative measures to reduce premature mortality. METHODS A management program for convulsive forms of epilepsy has been in place at the primary health care level in rural West China since May 2005. Demographic data and putative causes of death of attendees of the program since inception to the end of December 2009 have been recorded. Case fatality (CF), the proportional mortality ratios (PMRs) for each cause, and standardized mortality ratios (SMRs) for each age and cause were estimated based on the 2007 Chinese rural population. RESULTS There were 106 reported deaths (70 male) among 3,568 people. CF was 2.97% during a median of 28 months' follow-up. The highest PMRs were for accidental death (59%) including drowning (45.1%); probable sudden unexpected death in epilepsy (SUDEP) (14.7%); status epilepticus (6.9%), and neoplasm (6.9%). The overall SMR was 4.92 (95% confidence interval 4.0-6.1); the risks were high in young people. The risk of drowning was 82-fold higher in the cohort than the general population. CONCLUSION In rural West China, the risk of premature death is nearly 5 times higher in people with convulsive epilepsy than in the general Chinese population and especially high among young people. Accidental death, including drowning, and probable SUDEP are the leading putative causes of death in people with convulsive epilepsy in rural West China.
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