926
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Li N, Gautier Q, Zarepisheh M, Graves Y, Tian Z, Zhou L, Jia X, Moore K, Jiang S. SU-E-T-652: GPU-Based Automatic Treatment Planning Using Previously Delivered Treatment Plans as Prior Knowledge. Med Phys 2013. [DOI: 10.1118/1.4815079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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927
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Zhou L, Chao K, Chang J. SU-E-J-02: GPU-Accelerated Polyenergetic DRR Generation Based On Data Parallelism and Task Parallelism with a Dispatcher Using OpenCL: Effect of the Numbers of Tasks and Energies. Med Phys 2013. [DOI: 10.1118/1.4814214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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928
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Lu W, Yan H, Zhou L, Cervino L, Jiang S, Jia X. TU-G-141-05: Limited Field-Of-View Cone-Beam CT Reconstruction for Adaptive Radiotherapy. Med Phys 2013. [DOI: 10.1118/1.4815465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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929
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Wang X, Chao K, Zhou L, Wang S, Bassalow R, Chang J. SU-E-J-72: Shift Invariant Feature Transform (SIFT) Based Image Stitching for Panoramic Cone Beam CT (CBCT). Med Phys 2013. [DOI: 10.1118/1.4814284] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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930
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Xu Y, Yan H, Zhou L, Cervino L, Jiang S, Jia X. WE-A-134-09: Real-Time Volumetric Imaging Based On PCA Lung Motion Model and Vision RT. Med Phys 2013. [DOI: 10.1118/1.4815515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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931
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Song T, Li N, Graves Y, Gautier Q, Zarepisheh M, Li Y, Mundt A, Zhou L, Moore K, Yashar C, Mell L, Jia X, Jiang S, Cervino L. SU-E-T-718: Automatic IMRT Plan Quality Control for GYN Cancer Clinical Trials. Med Phys 2013. [DOI: 10.1118/1.4815145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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932
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Song T, Chen H, Zhou L. SU-E-T-547: Influence of Phantom Voxel Size Setup On Monte Carlo Simulation in Gamma Knife Using EGSnrc. Med Phys 2013. [DOI: 10.1118/1.4814977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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933
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Zhang R, Zhu W, Zhou L. One case of multiple eruptive milia. GIORN ITAL DERMAT V 2013; 148:308-310. [PMID: 23670069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
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934
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Xu Y, Li H, Yan H, Cervino L, Jiang S, Jia X, Zhou L. SU-E-I-03: Evaluation of Impacts of Two Assumptions in Cone Beam CT Geometry Calibration. Med Phys 2013. [DOI: 10.1118/1.4814103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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935
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Cao S, Zhao C, Zhang J, Wu X, Zhou L, Guo X, Shen R, Ling X. A minimum number of motile spermatozoa are required for successful fertilisation through artificial intrauterine insemination with husband's spermatozoa. Andrologia 2013; 46:529-34. [PMID: 23701485 DOI: 10.1111/and.12109] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/20/2013] [Indexed: 11/27/2022] Open
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936
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Han J, Zhou L, Pang Q, Yang H. Photoluminescence properties of the red phosphor YInGe 2O 7:Eu 3+. B CHEM SOC ETHIOPIA 2013. [DOI: 10.4314/bcse.v27i2.18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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937
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Cui WF, Jin L, Zhou L. Surface characteristics and electrochemical corrosion behavior of a pre-anodized microarc oxidation coating on titanium alloy. MATERIALS SCIENCE & ENGINEERING. C, MATERIALS FOR BIOLOGICAL APPLICATIONS 2013; 33:3775-9. [PMID: 23910276 DOI: 10.1016/j.msec.2013.05.011] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2012] [Revised: 02/12/2013] [Accepted: 05/03/2013] [Indexed: 10/26/2022]
Abstract
A porous bioactive titania coating on biomedical β titanium alloy was prepared by pre-anodization followed by micro arc oxidation technology. The effects of pre-anodization on the phase constituent, morphology and electrochemical corrosion behavior of the microarc oxidation coating were investigated. The results show that pre-anodization has less influence on the phase constituent and the surface morphology of the microarc oxidation coating, but improves the inner layer density of the microarc oxidation coating. The decrease of plasma discharge strength due to the presence of the pre-anodized oxide film contributes to the formation of the compact inner layer. The pre-anodized microarc oxidation coating effectively inhibits the penetration of the electrolyte in 0.9% NaCl solution and thus increases the corrosion resistance of the coated titanium alloy in physiological solution.
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938
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Cantaluppi V, Medica D, Figliolini F, Gatti S, Bruno S, Quercia AD, Dellepiane S, Biancone L, Tetta C, Camussi G, Zhou L, Dai X, Feng M, Huang X, Fu P, Lan HY, de Ramon L, Ripoll E, Luzardo L, Merino A, Bolanos N, Lloberas N, Cruzado JM, Grinyo JM, Torras J, Kaucsar T, Revesz C, Godo M, Racz Z, Tarszabo R, Hamar P, Banki NF, Hosszu A, Antal Z, Koszegi S, Wagner L, Gellai R, Lenart L, Vannay A, Muller V, Szabo AJ, Tulassay T, Fekete A. Tubular ischemia and toxicity. Nephrol Dial Transplant 2013. [DOI: 10.1093/ndt/gft178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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939
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Zhang H, Zhou L, Han Y, Cai Q, Li D, Pan Y, Wang L. Associations between CD14 -159 C>T polymorphism and chronic/aggressive periodontitis susceptibility. Oral Dis 2013; 19:805-11. [PMID: 23517107 DOI: 10.1111/odi.12096] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2012] [Revised: 11/29/2012] [Accepted: 01/05/2013] [Indexed: 11/28/2022]
Abstract
OBJECTIVES CD14 is a causative gene for periodontitis. However, conflicting results had been achieved when evaluating the associations between CD14 -159 C>T and periodontitis, which warranted us to conduct this meta-analysis. MATERIAL AND METHODS A meta-analysis based on eight relevant case-control studies was conducted to address this issue. Odds ratios (OR) with 95% confidence intervals (CIs) were applied to test the association. The statistical heterogeneity across studies was assessed by Chi-square-based Q-test. RESULTS Retrieved studies regarding CD14 -159 C>T and periodontitis susceptibility were put into the final analysis. Overall and subgroup analyses were performed. Finally, we did not find that this polymorphism could contribute to modified risk of periodontitis or in stratified analysis by ethnicity and type of disease. However, this polymorphism was associated with decreased risk of mild to moderate periodontitis (TT vs. CC, OR = 0.42, 95% CI = 0.21-0.81, CT/CC vs. TT, OR = 1.91, 95% CI = 1.09-3.35) but not severe periodontitis. CONCLUSION The present meta-analysis provided confirmative evidence that CD14 -159 C>T was involved in the development of periodontitis.
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940
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Ablikim M, Achasov MN, Albayrak O, Ambrose DJ, An FF, An Q, Bai JZ, Ban Y, Becker J, Bennett JV, Bertani M, Bian JM, Boger E, Bondarenko O, Boyko I, Briere RA, Bytev V, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen X, 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, Feng CQ, Ferroli RB, Friedel P, Fu CD, Gao Y, Geng C, Goetzen K, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo T, Guo YP, Han YL, Harris FA, He KL, He M, He ZY, Held T, Heng YK, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Huang GM, Huang GS, Huang JS, Huang L, Huang XT, Huang Y, Huang YP, Hussain T, Ji CS, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LL, Jiang XS, Jiao JB, Jiao Z, Jin DP, Jin S, Jing FF, Kalantar-Nayestanaki N, Kavatsyuk M, Kopf B, Kornicer M, Kuehn W, Lai W, Lange JS, Leyhe M, Li CH, Li C, Li C, Li DM, Li F, Li G, Li HB, Li JC, Li K, Li L, 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, Lin D, Liu BJ, Liu CL, Liu CX, Liu FH, Liu F, Liu F, Liu H, Liu HB, Liu HH, Liu HM, Liu HW, Liu JP, Liu K, Liu KY, Liu K, Liu PL, Liu Q, Liu SB, Liu X, 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, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Messchendorp JG, Min J, Min TJ, Mitchell RE, Mo XH, Morales Morales C, Muchnoi NY, Muramatsu H, 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, Qi M, Qian S, Qiao CF, Qin LQ, Qin XS, Qin Y, Qin ZH, Qiu JF, Rashid KH, Rong G, Ruan XD, Sarantsev A, Schaefer BD, 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 YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Toth D, Ullrich M, Varner GS, Wang BQ, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang QJ, Wang SG, Wang XF, Wang XL, Wang YF, Wang Z, Wang ZG, Wang ZY, Wei DH, Wei JB, Weidenkaff P, Wen QG, Wen SP, Werner M, Wiedner U, Wu LH, Wu N, Wu SX, Wu W, Wu Z, Xia LG, Xia YX, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu GM, Xu QJ, Xu QN, Xu XP, Xu ZR, Xue F, Xue Z, Yan L, Yan WB, Yan YH, Yang HX, Yang Y, Yang YX, Ye H, Ye M, Ye MH, Yu BX, Yu CX, Yu HW, Yu JS, Yu SP, Yuan CZ, Yuan Y, Zafar AA, Zallo A, Zeng Y, Zhang BX, Zhang BY, Zhang C, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang L, Zhang R, Zhang SH, Zhang XJ, Zhang XY, Zhang Y, Zhang YH, Zhang ZP, Zhang ZY, Zhang Z, Zhao G, Zhao HS, Zhao JW, Zhao KX, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao QZ, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong Z, Zhou L, Zhou XK, Zhou XR, Zhu C, Zhu K, Zhu KJ, Zhu SH, Zhu XL, Zhu YC, Zhu YM, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Measurements of the branching fractions forJ/ψandψ′→ΛΛ¯π0andΛΛ¯η. Int J Clin Exp Med 2013. [DOI: 10.1103/physrevd.87.052007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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941
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Ye Y, Yan S, Jiang G, Zhou L, Xie H, Xie X, Yu X, Ding Y, Tian J, Dai Y, Zheng S. Galectin-1 prolongs survival of mouse liver allografts from Flt3L-pretreated donors. Am J Transplant 2013; 13:569-79. [PMID: 23356407 DOI: 10.1111/ajt.12088] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2012] [Revised: 11/08/2012] [Accepted: 11/08/2012] [Indexed: 01/25/2023]
Abstract
Liver allografts are spontaneously accepted across MHC barriers in mice. The mechanisms underlying this phenomenon remain poorly understood. Galectin-1, an endogenous lectin expressed in lymphoid organs, plays a vital role in maintaining central and peripheral tolerance. This study was to investigate the role of galectin-1 in spontaneous tolerance of liver allografts in mice, and to evaluate the therapeutic effects of galectin-1 on liver allograft rejection induced by donor Flt3L pretreatment. Blockade of the galectin-1 pathway via neutralizing antigalectin-1 mAb did not affect survival of the liver allografts from B6 donors into C3H recipients. Administration of rGal-1 significantly prolonged survival of liver allografts from Flt3L-pretreated donors and ameliorated Flt3L-triggered liver allograft rejection. This effect was associated with increased apoptosis of T cells in both allografts and spleens, decreased frequencies of Th1 and Th17 cells, decreased expression of Th1-associated cytokines (IL-12, IL-2 and IFN-γ), Th17-associated cytokines (IL-23 and IL-17) and granzyme B, in parallel with selectively increased IL-10 expression in liver allografts. In vitro, galectin-1 inhibited Flt3L-differentiated DC-mediated proliferation of allo-CD4(+) T cells and production of IFN-γ and IL-17. These data provide new evidence of the potential regulatory effects of galectin-1 in alloimmune responses in a murine model of liver transplantation.
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942
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Liu L, Zhou L, Robinson D, Addai-Mensah J. A nuclei size distribution model including nuclei breakage. Chem Eng Sci 2013. [DOI: 10.1016/j.ces.2012.04.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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943
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Guo Y, Shi M, Yang A, Hu C, Luo R, Zhang Y, Zhou L, Cheng Y, Li T, Shi Y. PO-078: Cetuximab Plus Chemotherapy for Asian Patients with Recurrent and/or Metastatic Head and Neck Cancer. Radiother Oncol 2013. [DOI: 10.1016/s0167-8140(15)34697-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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944
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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, Kühn 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, 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, 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 JX, 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 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. Observation of two new N* resonances in the decay ψ(3686)→ppπ0. PHYSICAL REVIEW LETTERS 2013; 110:022001. [PMID: 23383891 DOI: 10.1103/physrevlett.110.022001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2012] [Indexed: 06/01/2023]
Abstract
Based on 106×10(6)ψ(3686) events collected with the BESIII detector at the BEPCII facility, a partial wave analysis of ψ(3686)→ppπ0 is performed. The branching fraction of this channel has been determined to be B(ψ(3686)→ppπ0)=(1.65±0.03±0.15)×10(-4). In this decay, 7 N* intermediate resonances are observed. Among these, two new resonances, N(2300) and N(2570) are significant, one 1/2+ resonance with a mass of 2300(-30-0)(+40+109) MeV/c2 and width of 340(-30-58)(+30+110) MeV/c2, and one 5/2- resonance with a mass of 2570(-10-10)(+19+34) MeV/c2 and width of 250(-24-21)(+14+69) MeV/c2. For the remaining 5 N* intermediate resonances [N(1440), N(1520), N(1535), N(1650) and N(1720)], the analysis yields mass and width values that are consistent with those from established resonances.
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945
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Zhou L, Goodman G, Martikainen A. Computational fluid dynamics (CFD) investigation of impacts of an obstruction on airflow in underground mines. TRANSACTIONS OF SOCIETY FOR MINING, METALLURGY, AND EXPLORATION, INC 2013; 332:505-513. [PMID: 26388684 PMCID: PMC4575277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Continuous airflow monitoring can improve the safety of the underground work force by ensuring the uninterrupted and controlled distribution of mine ventilation to all working areas. Air velocity measurements vary significantly and can change rapidly depending on the exact measurement location and, in particular, due to the presence of obstructions in the air stream. Air velocity must be measured at locations away from obstructions to avoid the vortices and eddies that can produce inaccurate readings. Further, an uninterrupted measurement path cannot always be guaranteed when using continuous airflow monitors due to the presence of nearby equipment, personnel, roof falls and rib rolls. Effective use of these devices requires selection of a minimum distance from an obstacle, such that an air velocity measurement can be made but not affected by the presence of that obstacle. This paper investigates the impacts of an obstruction on the behavior of downstream airflow using a numerical CFD model calibrated with experimental test results from underground testing. Factors including entry size, obstruction size and the inlet or incident velocity are examined for their effects on the distributions of airflow around an obstruction. A relationship is developed between the minimum measurement distance and the hydraulic diameters of the entry and the obstruction. A final analysis considers the impacts of continuous monitor location on the accuracy of velocity measurements and on the application of minimum measurement distance guidelines.
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946
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Liu W, Yao Y, Zhou L, Ni Q, Xu H. Evolutionary analysis of the short-type peptidoglycan-recognition protein gene (PGLYRP1) in primates. GENETICS AND MOLECULAR RESEARCH 2013; 12:453-62. [DOI: 10.4238/2013.february.8.10] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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947
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Zhou L, Wang H, Ju Z, Zhang Y, Huang J, Qi C, Hou M, An L, Zhong J, Wang C. Association of novel single nucleotide polymorphisms of the CXCR1 gene with the milk performance traits of Chinese native cattle. GENETICS AND MOLECULAR RESEARCH 2013; 12:2725-39. [DOI: 10.4238/2013.july.30.10] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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948
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Wan L, Liu L, Zhang Z, Zhou Y, Xiong Y, Li D, Zhou L. Low-Dose Azithromycin Attenuates OVA-Induced Airway Remodeling and Inflammation via Down-Regulating TGF-βl Expression in RAT. EUR J INFLAMM 2013. [DOI: 10.1177/1721727x1301100113] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Asthma is characteristic with chronic airway inflammation and remodeling. Azithromycin (AZM), the 15-member macrolide, is known to present an anti-inflammatory effect and is increasingly being used in the treatment of chronic inflammatory pulmonary diseases. We hypothesize that low-dose azithromycin can inhibit allergen-induced airway remodeling except allergic airway inflammation in rat model. Male SD rats underwent intraperitoneal ovalbumin sensitization on days 1 and 6 followed by an intranasal challenge on day 7–13. On day 14, airway inflammation and remodeling were assessed by quantifying leukocytes in the airway, expression of multiple inflammatory mediators in BALF, histological examination in lung and TGF-β1 mRNA and protein levels by qRT-PCR, immunohistochemistry and Western blotting. Treatment with low-dose azithromycin at the dose of 25 mg/kg significantly reduced ovalbumin-dependent airway inflammation, including accumulation of neutrophils, lymphocytes and eosinophils, secretion of IL-2, IL-4, IL-13 and TNF-α. Moreover, airway remodeling was significantly abrogated by azithromycin in this model. The mucus cell hyperplasia, thickening of the peribronchial smooth muscle layer, secretion of ET-1, IL-2, IL-4, IL-13 and TNF-α, and increasing mRNA and protein expressions of TGF-β1 in lung tissue were all significantly decreased in azithromycin-treated rats. These findings demonstrate the protective effect of low-dose azithromycin on allergic airway remodeling in rat and suggest low-dose azithromycin may have beneficial effects in treating allergic airway inflammation.
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949
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Dawood MK, Zhou L, Zheng H, Cheng H, Wan G, Rajagopalan R, Too HP, Choi WK. Nanostructured Si-nanowire microarrays for enhanced-performance bio-analytics. LAB ON A CHIP 2012; 12:5016-5024. [PMID: 23081694 DOI: 10.1039/c2lc40673j] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
We demonstrate the fabrication of a novel platform based on Si nanowire arrays integrated with a programmable DNA-directed homogeneous-phase analyte-capture strategy for robust detection of bio-analytes. The nanofabrication process used, based on a combination of glancing-angle-deposition and metal-assisted-catalytic-etching, is capable of producing thousands of testing sites per chip, and the sites can be fabricated over entire wafers, with precise control of size and positioning, using conventional microelectronics technology. The analyte-capture strategy used eliminates the well-known interference of the heterogeneous-phase (substrate) with the capturing of analytes. We examine the effects of the nanoscale features of the substrates (nanowire porosity and clumping) on the coupling efficiency of analytes and show that the fabricated microarrays are robust, have high efficiency and capacity, and provide significantly enhanced signal-to-noise ratio detection.
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Zhou L, Bi Y, Jiang L, Wang Z, Chen W. Effect of black wattle (Acacia mearnsii) extract on blue-green algal bloom control and plankton structure optimization: a field mesocosm experiment. WATER ENVIRONMENT RESEARCH : A RESEARCH PUBLICATION OF THE WATER ENVIRONMENT FEDERATION 2012; 84:2133-2142. [PMID: 23342945 DOI: 10.2175/106143012x13418552642083] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
A field mesocosm experiment was conducted at the Three Gorges Reservoir to investigate the utility of black wattle extract in controlling blue algal blooms. The mesocosm experiment was divided into two parts: (1) a short-term test to evaluate how black wattle extract inhibits algal blooms in an emergency and (2) a long-term test to evaluate how black wattle extract maintains water quality and prevents algal blooms over a 1-year period. In the short-term test, the results showed that 3 to 4 mg L(-1) black wattle extract could reduce algal biomass in 1 week, whereas serious algal blooms occurred in the untreated control mesocosm. More importantly, the long-term test suggested that black wattle extract played a significant role in plankton structure optimization at lower concentrations of 1 to 2 mg L(-1). In this test, phytoplankton diversity increased, with the dominant species shifting from cyanobacteria to diatoms and other algae. Meanwhile, as water quality improved through the presence of plant extract treatment, the numbers of smaller zooplankton decreased and larger species increased. Therefore, this investigation founded a novel nature plant agent that not only has good effects on algal bloom control, but also restores the aquatic ecosystem.
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