5301
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Zhang Y, Chyu M, Shen C. P02.27. Martial arts exercise improves quality of life in overweight/obese premenopausal women. Altern Ther Health Med 2012. [PMCID: PMC3373812 DOI: 10.1186/1472-6882-12-s1-p83] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Zhang Y, Chauncey K, Gan Q, Ragain M. P02.171. Lessons learned from a preliminary study of Whole Food Diet used by primary care patients. Altern Ther Health Med 2012. [PMCID: PMC3373723 DOI: 10.1186/1472-6882-12-s1-p227] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Zhang R, Meng X, Zhang Y, Shen X, Li A, Berman B, Ren K, Wei P, Lao L. OA08.03. Electroacupuncture alleviates hyperalgesia by inhibiting spinal interleukin-17 in an inflammatory pain rat model. BMC COMPLEMENTARY AND ALTERNATIVE MEDICINE 2012. [PMCID: PMC3373361 DOI: 10.1186/1472-6882-12-s1-o31] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Li J, Wang LJ, Ying X, Han SX, Bai E, Zhang Y, Zhu Q. Immunodiagnostic value of combined detection of autoantibodies to tumor-associated antigens as biomarkers in pancreatic cancer. Scand J Immunol 2012; 75:342-9. [PMID: 22010875 DOI: 10.1111/j.1365-3083.2011.02657.x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Previous studies demonstrated that cancer sera contain antibodies, which react with a unique group of autologous cellular antigens called tumour-associated antigens (TAAs). This study determines whether a panel of TAAs would enhance antibody detection and be a useful approach in pancreatic cancer (PC) detection and diagnosis. The panel of TAAs was composed of six TAAs including p53, p16, p62, survivin, Koc and IMP1 full-length recombinant proteins. Enzyme-linked immunosorbent assay (ELISA) was used to detect antibodies against these six TAAs in 23 sera from patients with PC and also 23 sera from normal individuals. Antibody frequency to any individual TAA in PC was variable and ranged from 14.7% to 30.4%. With the successive addition of TAAs to a final total of six antigens, there was a stepwise increase in positive antibody reactions reaching a sensitivity of 60.9% and a specificity of 87.0% in PC. Positive and negative likelihood ratio were 4.685 and 0.449, respectively. Positive and negative predictive values were, respectively, 82.4% and 69.0%. Agreement rate and Kappa value were 73.9% and 0.478, respectively. The data from this study support our previous hypothesis that using a panel of appropriately selected TAAs can enhance autoantibody detection in immunodiagnosis of PC. In 15 PC sera with carbohydrate antigen 19-9 (CA19-9) negative, 6 (40%) were found to have anti-TAA (anti-tumour associated antigens) antibodies. When CA19-9 and anti-TAAs were used together as markers in PC detection, the diagnostic sensitivity could be raised from 60.9% to 69.6%. Anti-TAA and CA19-9 were independent markers, and the simultaneous use of these two markers could raise the sensitivity of PC detection.
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Lao L, Zhang Y, Shen X, Li A, Xin J, Berman B, Tan M, Ren K, Zhang R. P01.08. Acupuncture alleviates affective dimension of pain in a rat model of inflammatory hyperalgesia. Altern Ther Health Med 2012. [PMCID: PMC3373929 DOI: 10.1186/1472-6882-12-s1-p8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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5306
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Zhuang YL, Song Y, Zhu C, Zhang Y, Wang D, Nie X, Liu Y, Ren GJ. Association of KIR genotypes and haplotypes with syphilis in a Chinese Han population. Scand J Immunol 2012; 75:361-7. [PMID: 22126195 DOI: 10.1111/j.1365-3083.2011.02664.x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Killer immunoglobulin-like receptors (KIRs) can regulate the activation of NK and T cells in response to infection. Syphilis is a sexually transmitted infection caused by the Treponema pallidum subspecies pallidum spirochete bacterium. The objective of this study was to explore whether KIR genotypes and haplotypes were associated with syphilis in a Chinese Han population. Polymerase chain reaction with sequence-specific primers (PCR-SSP) was used to identify the KIR genotypes in 190 patients with syphilis and 192 healthy controls. The frequency of genotype P was higher in healthy controls than that in patients with syphilis (P = 0.002), and its OR was 0.304, while the frequencies of genotypes AE and AG were higher in patients with syphilis than those in healthy controls. The frequency of haplotype 17 was lower, and its OR was 0.321, whereas the frequencies of haplotype 1 and 6 were higher in patients with syphilis than those in healthy controls. KIR haplotypes A and B have distinctive centromeric (Cen) and telomeric (Tel) gene content motifs. The frequency of Tel-B/B was higher in patients with syphilis than that in healthy controls (P = 0.024). Based on these findings, it seems that individuals with the genotype AE, AG or Tel-B/B, or haplotypes 1 and 6 are susceptible to syphilis, whereas individuals with genotype P or haplotype 17 are protective from syphilis in the Chinese Han population.
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5307
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Zhang Y, Ong W, Arakelyan I, Thomas JE. Polaron-to-polaron transitions in the radio-frequency spectrum of a quasi-two-dimensional Fermi gas. PHYSICAL REVIEW LETTERS 2012; 108:235302. [PMID: 23003968 DOI: 10.1103/physrevlett.108.235302] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2012] [Indexed: 06/01/2023]
Abstract
We measure radio-frequency spectra for a two-component mixture of a 6Li atomic Fermi gas in a quasi-two-dimensional regime with the Fermi energy comparable to the energy level spacing in the tightly confining potential. Near the Feshbach resonance, we find that the observed resonances do not correspond to transitions between confinement-induced dimers. The spectral shifts can be fit by assuming transitions between noninteracting polaron states in two dimensions.
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5308
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Aaij R, Abellan Beteta C, Adametz A, Adeva B, Adinolfi M, Adrover C, Affolder A, Ajaltouni Z, Albrecht J, Alessio F, Alexander M, Ali S, Alkhazov G, Alvarez Cartelle P, Alves AA, Amato S, Amhis Y, Anderson J, Appleby RB, Aquines Gutierrez O, Archilli F, Artamonov A, Artuso M, Aslanides E, Auriemma G, Bachmann S, Back JJ, Balagura V, Baldini W, Barlow RJ, Barschel C, Barsuk S, Barter W, Bates A, Bauer C, Bauer T, Bay A, Beddow J, Bediaga I, Belogurov S, Belous K, Belyaev I, Ben-Haim E, Benayoun M, Bencivenni G, Benson S, Benton J, Bernet R, Bettler MO, van Beuzekom M, Bien A, Bifani S, Bird T, Bizzeti A, Bjørnstad PM, Blake T, Blanc F, Blanks C, Blouw J, Blusk S, Bobrov A, Bocci V, Bondar A, Bondar N, Bonivento W, Borghi S, Borgia A, Bowcock TJV, Bozzi C, Brambach T, van den Brand J, Bressieux J, Brett D, Britsch M, Britton T, Brook NH, Brown H, Büchler-Germann A, Burducea I, Bursche A, Buytaert J, Cadeddu S, Callot O, Calvi M, Calvo Gomez M, Camboni A, Campana P, Carbone A, Carboni G, Cardinale R, Cardini A, Carson L, Carvalho Akiba K, Casse G, Cattaneo M, Cauet C, Charles M, Charpentier P, Chiapolini N, Chrzaszcz M, Ciba K, Cid Vidal X, Ciezarek G, Clarke PEL, Clemencic M, Cliff HV, Closier J, Coca C, Coco V, Cogan J, Cogneras E, Collins P, Comerma-Montells A, Contu A, Cook A, Coombes M, Corti G, Couturier B, Cowan GA, Currie R, D'Ambrosio C, David P, David PNY, De Bonis I, De Bruyn K, De Capua S, De Cian M, De Miranda JM, De Paula L, De Simone P, Decamp D, Deckenhoff M, Degaudenzi H, Del Buono L, Deplano C, Derkach D, Deschamps O, Dettori F, Dickens J, Dijkstra H, Diniz Batista P, Domingo Bonal F, Donleavy S, Dordei F, Dornan P, Dosil Suárez A, Dossett D, Dovbnya A, Dupertuis F, Dzhelyadin R, Dziurda A, Dzyuba A, Easo S, Egede U, Egorychev V, Eidelman S, van Eijk D, Eisele F, Eisenhardt S, Ekelhof R, Eklund L, Elsasser C, Elsby D, Esperante Pereira D, Falabella A, Färber C, Fardell G, Farinelli C, Farry S, Fave V, Fernandez Albor V, Ferro-Luzzi M, Filippov S, Fitzpatrick C, Fontana M, Fontanelli F, Forty R, Francisco O, Frank M, Frei C, Frosini M, Furcas S, Gallas Torreira A, Galli D, Gandelman M, Gandini P, Gao Y, Garnier JC, Garofoli J, Garra Tico J, Garrido L, Gascon D, Gaspar C, Gauld R, Gauvin N, Gersabeck M, Gershon T, Ghez P, Gibson V, Gligorov VV, Göbel C, Golubkov D, Golutvin A, Gomes A, Gordon H, Grabalosa Gándara M, Graciani Diaz R, Granado Cardoso LA, Graugés E, Graziani G, Grecu A, Greening E, Gregson S, Grünberg O, Gui B, Gushchin E, Guz Y, Gys T, Hadjivasiliou C, Haefeli G, Haen C, Haines SC, Hampson T, Hansmann-Menzemer S, Harnew N, Harrison J, Harrison PF, Hartmann T, He J, Heijne V, Hennessy K, Henrard P, Hernando Morata JA, van Herwijnen E, Hicks E, Holubyev K, Hopchev P, Hulsbergen W, Hunt P, Huse T, Huston RS, Hutchcroft D, Hynds D, Iakovenko V, Ilten P, Imong J, Jacobsson R, Jaeger A, Jahjah Hussein M, Jans E, Jansen F, Jaton P, Jean-Marie B, Jing F, John M, Johnson D, Jones CR, Jost B, Kaballo M, Kandybei S, Karacson M, Karbach TM, Keaveney J, Kenyon IR, Kerzel U, Ketel T, Keune A, Khanji B, Kim YM, Knecht M, Komarov I, Koopman RF, Koppenburg P, Korolev M, Kozlinskiy A, Kravchuk L, Kreplin K, Kreps M, Krocker G, Krokovny P, Kruse F, Kruzelecki K, Kucharczyk M, Kudryavtsev V, Kvaratskheliya T, La Thi VN, Lacarrere D, Lafferty G, Lai A, Lambert D, Lambert RW, Lanciotti E, Lanfranchi G, Langenbruch C, Latham T, Lazzeroni C, Le Gac R, van Leerdam J, Lees JP, Lefèvre R, Leflat A, Lefrançois J, Leroy O, Lesiak T, Li L, Li Y, Li Gioi L, Lieng M, Liles M, Lindner R, Linn C, Liu B, Liu G, von Loeben J, Lopes JH, Lopez Asamar E, Lopez-March N, Lu H, Luisier J, Mac Raighne A, Machefert F, Machikhiliyan IV, Maciuc F, Maev O, Magnin J, Malde S, Mamunur RMD, Manca G, Mancinelli G, Mangiafave N, Marconi U, Märki R, Marks J, Martellotti G, Martens A, Martin L, Martín Sánchez A, Martinelli M, Martinez Santos D, Massafferri A, Mathe Z, Matteuzzi C, Matveev M, Maurice E, Maynard B, Mazurov A, McGregor G, McNulty R, Meissner M, Merk M, Merkel J, Miglioranzi S, Milanes DA, Minard MN, Molina Rodriguez J, Monteil S, Moran D, Morawski P, Mountain R, Mous I, Muheim F, Müller K, Muresan R, Muryn B, Muster B, Mylroie-Smith J, Naik P, Nakada T, Nandakumar R, Nasteva I, Needham M, Neufeld N, Nguyen AD, Nguyen-Mau C, Nicol M, Niess V, Nikitin N, Nikodem T, Nomerotski A, Novoselov A, Oblakowska-Mucha A, Obraztsov V, Oggero S, Ogilvy S, Okhrimenko O, Oldeman R, Orlandea M, Otalora Goicochea JM, Owen P, Pal BK, Palacios J, Palano A, Palutan M, Panman J, Papanestis A, Pappagallo M, Parkes C, Parkinson CJ, Passaleva G, Patel GD, Patel M, Paterson SK, Patrick GN, Patrignani C, Pavel-Nicorescu C, Pazos Alvarez A, Pellegrino A, Penso G, Pepe Altarelli M, Perazzini S, Perego DL, Perez Trigo E, Pérez-Calero Yzquierdo A, Perret P, Perrin-Terrin M, Pessina G, Petrolini A, Phan A, Picatoste Olloqui E, Pie Valls B, Pietrzyk B, Pilař T, Pinci D, Plackett R, Playfer S, Plo Casasus M, Polok G, Poluektov A, Polycarpo E, Popov D, Popovici B, Potterat C, Powell A, Prisciandaro J, Pugatch V, Puig Navarro A, Qian W, Rademacker JH, Rakotomiaramanana B, Rangel MS, Raniuk I, Raven G, Redford S, Reid MM, dos Reis AC, Ricciardi S, Richards A, Rinnert K, Roa Romero DA, Robbe P, Rodrigues E, Rodrigues F, Rodriguez Perez P, Rogers GJ, Roiser S, Romanovsky V, Rosello M, Rouvinet J, Ruf T, Ruiz H, Sabatino G, Saborido Silva JJ, Sagidova N, Sail P, Saitta B, Salzmann C, Sannino M, Santacesaria R, Santamarina Rios C, Santinelli R, Santovetti E, Sapunov M, Sarti A, Satriano C, Satta A, Savrie M, Savrina D, Schaack P, Schiller M, Schindler H, Schleich S, Schlupp M, Schmelling M, Schmidt B, Schneider O, Schopper A, Schune MH, Schwemmer R, Sciascia B, Sciubba A, Seco M, Semennikov A, Senderowska K, Sepp I, Serra N, Serrano J, Seyfert P, Shapkin M, Shapoval I, Shatalov P, Shcheglov Y, Shears T, Shekhtman L, Shevchenko O, Shevchenko V, Shires A, Silva Coutinho R, Skwarnicki T, Smith NA, Smith E, Smith M, Sobczak K, Soler FJP, Solomin A, Soomro F, Souza De Paula B, Spaan B, Sparkes A, Spradlin P, Stagni F, Stahl S, Steinkamp O, Stoica S, Stone S, Storaci B, Straticiuc M, Straumann U, Subbiah VK, Swientek S, Szczekowski M, Szczypka P, Szumlak T, T'Jampens S, Teodorescu E, Teubert F, Thomas C, Thomas E, van Tilburg J, Tisserand V, Tobin M, Tolk S, Topp-Joergensen S, Torr N, Tournefier E, Tourneur S, Tran MT, Tsaregorodtsev A, Tuning N, Ubeda Garcia M, Ukleja A, Uwer U, Vagnoni V, Valenti G, Vazquez Gomez R, Vazquez Regueiro P, Vecchi S, Velthuis JJ, Veltri M, Viaud B, Videau I, Vieira D, Vilasis-Cardona X, Visniakov J, Vollhardt A, Volyanskyy D, Voong D, Vorobyev A, Vorobyev V, Voß C, Voss H, Waldi R, Wallace R, Wandernoth S, Wang J, Ward DR, Watson NK, Webber AD, Websdale D, Whitehead M, Wicht J, Wiedner D, Wiggers L, Wilkinson G, Williams MP, Williams M, Wilson FF, Wishahi J, Witek M, Witzeling W, Wotton SA, Wright S, Wu S, Wyllie K, Xie Y, Xing F, Xing Z, Yang Z, Young R, Yuan X, Yushchenko O, Zangoli M, Zavertyaev M, Zhang F, Zhang L, Zhang WC, Zhang Y, Zhelezov A, Zhong L, Zvyagin A. Strong constraints on the rare decays B(s)(0) → μ+ μ- and B0 → μ+ μ-. PHYSICAL REVIEW LETTERS 2012; 108:231801. [PMID: 23003947 DOI: 10.1103/physrevlett.108.231801] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2012] [Indexed: 06/01/2023]
Abstract
A search for B(s)(0) → μ+ μ- and B0 → μ+ μ decays is performed using 1.0 fb(-1) of pp collision data collected at sqrt[s] = 7 TeV with the LHCb experiment at the Large Hadron Collider. For both decays, the number of observed events is consistent with expectation from background and standard model signal predictions. Upper limits on the branching fractions are determined to be B(B(s)(0) → μ+ μ-) < 4.5(3.8)×10(-9) and B(B0 → μ+ μ-) < 1.0(0.81)×10(-9) at 95% (90%) confidence level.
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5309
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Aaij R, Abellan Beteta C, Adeva B, Adinolfi M, Adrover C, Affolder A, Ajaltouni Z, Albrecht J, Alessio F, Alexander M, Alkhazov G, Alvarez Cartelle P, Alves AA, Amato S, Amhis Y, Anderson J, Appleby RB, Aquines Gutierrez O, Archilli F, Arrabito L, Artamonov A, Artuso M, Aslanides E, Auriemma G, Bachmann S, Back JJ, Bailey DS, Balagura V, Baldini W, Barlow RJ, Barschel C, Barsuk S, Barter W, Bates A, Bauer C, Bauer T, Bay A, Bediaga I, Belogurov S, Belous K, Belyaev I, Ben-Haim E, Benayoun M, Bencivenni G, Benson S, Benton J, Bernet R, Bettler MO, van Beuzekom M, Bien A, Bifani S, Bird T, Bizzeti A, Bjørnstad PM, Blake T, Blanc F, Blanks C, Blouw J, Blusk S, Bobrov A, Bocci V, Bondar A, Bondar N, Bonivento W, Borghi S, Borgia A, Bowcock TJV, Bozzi C, Brambach T, van den Brand J, Bressieux J, Brett D, Britsch M, Britton T, Brook NH, Brown H, de Bruyn K, Büchler-Germann A, Burducea I, Bursche A, Buytaert J, Cadeddu S, Callot O, Calvi M, Calvo Gomez M, Camboni A, Campana P, Carbone A, Carboni G, Cardinale R, Cardini A, Carson L, Carvalho Akiba K, Casse G, Cattaneo M, Cauet C, Charles M, Charpentier P, Chiapolini N, Ciba K, Cid Vidal X, Ciezarek G, Clarke PEL, Clemencic M, Cliff HV, Closier J, Coca C, Coco V, Cogan J, Collins P, Comerma-Montells A, Constantin F, Contu A, Cook A, Coombes M, Corti G, Couturier B, Cowan GA, Currie R, D’Ambrosio C, David P, David PNY, De Bonis I, De Capua S, De Cian M, De Lorenzi F, De Miranda JM, De Paula L, De Simone P, Decamp D, Deckenhoff M, Degaudenzi H, Del Buono L, Deplano C, Derkach D, Deschamps O, Dettori F, Dickens J, Dijkstra H, Diniz Batista P, Domingo Bonal F, Donleavy S, Dordei F, Dosil Suárez A, Dossett D, Dovbnya A, Dupertuis F, Dzhelyadin R, Dziurda A, Easo S, Egede U, Egorychev V, Eidelman S, van Eijk D, Eisele F, Eisenhardt S, Ekelhof R, Eklund L, Elsasser C, Elsby D, Esperante Pereira D, Falabella A, Fanchini E, Färber C, Fardell G, Farinelli C, Farry S, Fave V, Fernandez Albor V, Ferro-Luzzi M, Filippov S, Fitzpatrick C, Fontana M, Fontanelli F, Forty R, Francisco O, Frank M, Frei C, Frosini M, Furcas S, Gallas Torreira A, Galli D, Gandelman M, Gandini P, Gao Y, Garnier JC, Garofoli J, Garra Tico J, Garrido L, Gascon D, Gaspar C, Gauld R, Gauvin N, Gersabeck M, Gershon T, Ghez P, Gibson V, Gligorov VV, Göbel C, Golubkov D, Golutvin A, Gomes A, Gordon H, Grabalosa Gándara M, Graciani Diaz R, Granado Cardoso LA, Graugés E, Graziani G, Grecu A, Greening E, Gregson S, Gui B, Gushchin E, Guz Y, Gys T, Hadjivasiliou C, Haefeli G, Haen C, Haines SC, Hampson T, Hansmann-Menzemer S, Harji R, Harnew N, Harrison J, Harrison PF, Hartmann T, He J, Heijne V, Hennessy K, Henrard P, Hernando Morata JA, van Herwijnen E, Hicks E, Holubyev K, Hopchev P, Hulsbergen W, Hunt P, Huse T, Huston RS, Hutchcroft D, Hynds D, Iakovenko V, Ilten P, Imong J, Jacobsson R, Jaeger A, Jahjah Hussein M, Jans E, Jansen F, Jaton P, Jean-Marie B, Jing F, John M, Johnson D, Jones CR, Jost B, Kaballo M, Kandybei S, Karacson M, Karbach TM, Keaveney J, Kenyon IR, Kerzel U, Ketel T, Keune A, Khanji B, Kim YM, Knecht M, Koopman RF, Koppenburg P, Korolev M, Kozlinskiy A, Kravchuk L, Kreplin K, Kreps M, Krocker G, Krokovny P, Kruse F, Kruzelecki K, Kucharczyk M, Kvaratskheliya T, La Thi VN, Lacarrere D, Lafferty G, Lai A, Lambert D, Lambert RW, Lanciotti E, Lanfranchi G, Langenbruch C, Latham T, Lazzeroni C, Le Gac R, van Leerdam J, Lees JP, Lefèvre R, Leflat A, Lefrançois J, Leroy O, Lesiak T, Li L, Li Gioi L, Lieng M, Liles M, Lindner R, Linn C, Liu B, Liu G, von Loeben J, Lopes JH, Lopez Asamar E, Lopez-March N, Lu H, Luisier J, Mac Raighne A, Machefert F, Machikhiliyan IV, Maciuc F, Maev O, Magnin J, Malde S, Mamunur RMD, Manca G, Mancinelli G, Mangiafave N, Marconi U, Märki R, Marks J, Martellotti G, Martens A, Martin L, Martín Sánchez A, Martinez Santos D, Massafferri A, Mathe Z, Matteuzzi C, Matveev M, Maurice E, Maynard B, Mazurov A, McGregor G, McNulty R, Meissner M, Merk M, Merkel J, Messi R, Miglioranzi S, Milanes DA, Minard MN, Molina Rodriguez J, Monteil S, Moran D, Morawski P, Mountain R, Mous I, Muheim F, Müller K, Muresan R, Muryn B, Muster B, Musy M, Mylroie-Smith J, Naik P, Nakada T, Nandakumar R, Nasteva I, Nedos M, Needham M, Neufeld N, Nguyen AD, Nguyen-Mau C, Nicol M, Niess V, Nikitin N, Nomerotski A, Novoselov A, Oblakowska-Mucha A, Obraztsov V, Oggero S, Ogilvy S, Okhrimenko O, Oldeman R, Orlandea M, Otalora Goicochea JM, Owen P, Pal K, Palacios J, Palano A, Palutan M, Panman J, Papanestis A, Pappagallo M, Parkes C, Parkinson CJ, Passaleva G, Patel GD, Patel M, Paterson SK, Patrick GN, Patrignani C, Pavel-Nicorescu C, Pazos Alvarez A, Pellegrino A, Penso G, Pepe Altarelli M, Perazzini S, Perego DL, Perez Trigo E, Pérez-Calero Yzquierdo A, Perret P, Perrin-Terrin M, Pessina G, Petrella A, Petrolini A, Phan A, Picatoste Olloqui E, Pie Valls B, Pietrzyk B, Pilař T, Pinci D, Plackett R, Playfer S, Plo Casasus M, Polok G, Poluektov A, Polycarpo E, Popov D, Popovici B, Potterat C, Powell A, Prisciandaro J, Pugatch V, Puig Navarro A, Qian W, Rademacker JH, Rakotomiaramanana B, Rangel MS, Raniuk I, Raven G, Redford S, Reid MM, dos Reis AC, Ricciardi S, Richards A, Rinnert K, Roa Romero DA, Robbe P, Rodrigues E, Rodrigues F, Rodriguez Perez P, Rogers GJ, Roiser S, Romanovsky V, Rosello M, Rouvinet J, Ruf T, Ruiz H, Sabatino G, Saborido Silva JJ, Sagidova N, Sail P, Saitta B, Salzmann C, Sannino M, Santacesaria R, Santamarina Rios C, Santinelli R, Santovetti E, Sapunov M, Sarti A, Satriano C, Satta A, Savrie M, Savrina D, Schaack P, Schiller M, Schleich S, Schlupp M, Schmelling M, Schmidt B, Schneider O, Schopper A, Schune MH, Schwemmer R, Sciascia B, Sciubba A, Seco M, Semennikov A, Senderowska K, Sepp I, Serra N, Serrano J, Seyfert P, Shapkin M, Shapoval I, Shatalov P, Shcheglov Y, Shears T, Shekhtman L, Shevchenko O, Shevchenko V, Shires A, Silva Coutinho R, Skwarnicki T, Smith NA, Smith E, Sobczak K, Soler FJP, Solomin A, Soomro F, Souza De Paula B, Spaan B, Sparkes A, Spradlin P, Stagni F, Stahl S, Steinkamp O, Stoica S, Stone S, Storaci B, Straticiuc M, Straumann U, Subbiah VK, Swientek S, Szczekowski M, Szczypka P, Szumlak T, T’Jampens S, Teodorescu E, Teubert F, Thomas C, Thomas E, van Tilburg J, Tisserand V, Tobin M, Topp-Joergensen S, Torr N, Tournefier E, Tourneur S, Tran MT, Tsaregorodtsev A, Tuning N, Ubeda Garcia M, Ukleja A, Urquijo P, Uwer U, Vagnoni V, Valenti G, Vazquez Gomez R, Vazquez Regueiro P, Vecchi S, Velthuis JJ, Veltri M, Viaud B, Videau I, Vieira D, Vilasis-Cardona X, Visniakov J, Vollhardt A, Volyanskyy D, Voong D, Vorobyev A, Voss H, Wandernoth S, Wang J, Ward DR, Watson NK, Webber AD, Websdale D, Whitehead M, Wiedner D, Wiggers L, Wilkinson G, Williams MP, Williams M, Wilson FF, Wishahi J, Witek M, Witzeling W, Wotton SA, Wyllie K, Xie Y, Xing F, Xing Z, Yang Z, Young R, Yushchenko O, Zangoli M, Zavertyaev M, Zhang F, Zhang L, Zhang WC, Zhang Y, Zhelezov A, Zhong L, Zvyagin A. Opposite-side flavour tagging of B mesons at the LHCb experiment. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2012; 72:2022. [PMID: 25814835 PMCID: PMC4371096 DOI: 10.1140/epjc/s10052-012-2022-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2012] [Revised: 04/26/2012] [Indexed: 05/28/2023]
Abstract
The calibration and performance of the opposite-side flavour tagging algorithms used for the measurements of time-dependent asymmetries at the LHCb experiment are described. The algorithms have been developed using simulated events and optimized and calibrated with B+→J/ψK+, B0→J/ψK∗0 and B0→D∗-μ+νμ decay modes with 0.37 fb-1 of data collected in pp collisions at [Formula: see text] during the 2011 physics run. The opposite-side tagging power is determined in the B+→J/ψK+ channel to be (2.10±0.08±0.24) %, where the first uncertainty is statistical and the second is systematic.
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Aaij R, Abellan Beteta C, Adeva B, Adinolfi M, Adrover C, Affolder A, Ajaltouni Z, Albrecht J, Alessio F, Alexander M, Alkhazov G, Alvarez Cartelle P, Alves AA, Amato S, Amhis Y, Anderson J, Appleby RB, Aquines Gutierrez O, Archilli F, Arrabito L, Artamonov A, Artuso M, Aslanides E, Auriemma G, Bachmann S, Back JJ, Bailey DS, Balagura V, Baldini W, Barlow RJ, Barschel C, Barsuk S, Barter W, Bates A, Bauer C, Bauer T, Bay A, Bediaga I, Belogurov S, Belous K, Belyaev I, Ben-Haim E, Benayoun M, Bencivenni G, Benson S, Benton J, Bernet R, Bettler MO, van Beuzekom M, Bien A, Bifani S, Bird T, Bizzeti A, Bjørnstad PM, Blake T, Blanc F, Blanks C, Blouw J, Blusk S, Bobrov A, Bocci V, Bondar A, Bondar N, Bonivento W, Borghi S, Borgia A, Bowcock TJV, Bozzi C, Brambach T, van den Brand J, Bressieux J, Brett D, Britsch M, Britton T, Brook NH, Brown H, de Bruyn K, Büchler-Germann A, Burducea I, Bursche A, Buytaert J, Cadeddu S, Callot O, Calvi M, Calvo Gomez M, Camboni A, Campana P, Carbone A, Carboni G, Cardinale R, Cardini A, Carson L, Carvalho Akiba K, Casse G, Cattaneo M, Cauet C, Charles M, Charpentier P, Chiapolini N, Ciba K, Cid Vidal X, Ciezarek G, Clarke PEL, Clemencic M, Cliff HV, Closier J, Coca C, Coco V, Cogan J, Collins P, Comerma-Montells A, Constantin F, Contu A, Cook A, Coombes M, Corti G, Couturier B, Cowan GA, Currie R, D’Ambrosio C, David P, David PNY, De Bonis I, De Capua S, De Cian M, De Lorenzi F, De Miranda JM, De Paula L, De Simone P, Decamp D, Deckenhoff M, Degaudenzi H, Del Buono L, Deplano C, Derkach D, Deschamps O, Dettori F, Dickens J, Dijkstra H, Diniz Batista P, Domingo Bonal F, Donleavy S, Dordei F, Dosil Suárez A, Dossett D, Dovbnya A, Dupertuis F, Dzhelyadin R, Dziurda A, Easo S, Egede U, Egorychev V, Eidelman S, van Eijk D, Eisele F, Eisenhardt S, Ekelhof R, Eklund L, Elsasser C, Elsby D, Esperante Pereira D, Falabella A, Fanchini E, Färber C, Fardell G, Farinelli C, Farry S, Fave V, Fernandez Albor V, Ferro-Luzzi M, Filippov S, Fitzpatrick C, Fontana M, Fontanelli F, Forty R, Francisco O, Frank M, Frei C, Frosini M, Furcas S, Gallas Torreira A, Galli D, Gandelman M, Gandini P, Gao Y, Garnier JC, Garofoli J, Garra Tico J, Garrido L, Gascon D, Gaspar C, Gauld R, Gauvin N, Gersabeck M, Gershon T, Ghez P, Gibson V, Gligorov VV, Göbel C, Golubkov D, Golutvin A, Gomes A, Gordon H, Grabalosa Gándara M, Graciani Diaz R, Granado Cardoso LA, Graugés E, Graziani G, Grecu A, Greening E, Gregson S, Gui B, Gushchin E, Guz Y, Gys T, Hadjivasiliou C, Haefeli G, Haen C, Haines SC, Hampson T, Hansmann-Menzemer S, Harji R, Harnew N, Harrison J, Harrison PF, Hartmann T, He J, Heijne V, Hennessy K, Henrard P, Hernando Morata JA, van Herwijnen E, Hicks E, Holubyev K, Hopchev P, Hulsbergen W, Hunt P, Huse T, Huston RS, Hutchcroft D, Hynds D, Iakovenko V, Ilten P, Imong J, Jacobsson R, Jaeger A, Jahjah Hussein M, Jans E, Jansen F, Jaton P, Jean-Marie B, Jing F, John M, Johnson D, Jones CR, Jost B, Kaballo M, Kandybei S, Karacson M, Karbach TM, Keaveney J, Kenyon IR, Kerzel U, Ketel T, Keune A, Khanji B, Kim YM, Knecht M, Koopman RF, Koppenburg P, Korolev M, Kozlinskiy A, Kravchuk L, Kreplin K, Kreps M, Krocker G, Krokovny P, Kruse F, Kruzelecki K, Kucharczyk M, Kvaratskheliya T, La Thi VN, Lacarrere D, Lafferty G, Lai A, Lambert D, Lambert RW, Lanciotti E, Lanfranchi G, Langenbruch C, Latham T, Lazzeroni C, Le Gac R, van Leerdam J, Lees JP, Lefèvre R, Leflat A, Lefrançois J, Leroy O, Lesiak T, Li L, Li Gioi L, Lieng M, Liles M, Lindner R, Linn C, Liu B, Liu G, von Loeben J, Lopes JH, Lopez Asamar E, Lopez-March N, Lu H, Luisier J, Mac Raighne A, Machefert F, Machikhiliyan IV, Maciuc F, Maev O, Magnin J, Malde S, Mamunur RMD, Manca G, Mancinelli G, Mangiafave N, Marconi U, Märki R, Marks J, Martellotti G, Martens A, Martin L, Martín Sánchez A, Martinez Santos D, Massafferri A, Mathe Z, Matteuzzi C, Matveev M, Maurice E, Maynard B, Mazurov A, McGregor G, McNulty R, Meissner M, Merk M, Merkel J, Messi R, Miglioranzi S, Milanes DA, Minard MN, Molina Rodriguez J, Monteil S, Moran D, Morawski P, Mountain R, Mous I, Muheim F, Müller K, Muresan R, Muryn B, Muster B, Musy M, Mylroie-Smith J, Naik P, Nakada T, Nandakumar R, Nasteva I, Nedos M, Needham M, Neufeld N, Nguyen AD, Nguyen-Mau C, Nicol M, Niess V, Nikitin N, Nomerotski A, Novoselov A, Oblakowska-Mucha A, Obraztsov V, Oggero S, Ogilvy S, Okhrimenko O, Oldeman R, Orlandea M, Otalora Goicochea JM, Owen P, Pal K, Palacios J, Palano A, Palutan M, Panman J, Papanestis A, Pappagallo M, Parkes C, Parkinson CJ, Passaleva G, Patel GD, Patel M, Paterson SK, Patrick GN, Patrignani C, Pavel-Nicorescu C, Pazos Alvarez A, Pellegrino A, Penso G, Pepe Altarelli M, Perazzini S, Perego DL, Perez Trigo E, Pérez-Calero Yzquierdo A, Perret P, Perrin-Terrin M, Pessina G, Petrella A, Petrolini A, Phan A, Picatoste Olloqui E, Pie Valls B, Pietrzyk B, Pilař T, Pinci D, Plackett R, Playfer S, Plo Casasus M, Polok G, Poluektov A, Polycarpo E, Popov D, Popovici B, Potterat C, Powell A, Prisciandaro J, Pugatch V, Puig Navarro A, Qian W, Rademacker JH, Rakotomiaramanana B, Rangel MS, Raniuk I, Raven G, Redford S, Reid MM, dos Reis AC, Ricciardi S, Richards A, Rinnert K, Roa Romero DA, Robbe P, Rodrigues E, Rodrigues F, Rodriguez Perez P, Rogers GJ, Roiser S, Romanovsky V, Rosello M, Rouvinet J, Ruf T, Ruiz H, Sabatino G, Saborido Silva JJ, Sagidova N, Sail P, Saitta B, Salzmann C, Sannino M, Santacesaria R, Santamarina Rios C, Santinelli R, Santovetti E, Sapunov M, Sarti A, Satriano C, Satta A, Savrie M, Savrina D, Schaack P, Schiller M, Schleich S, Schlupp M, Schmelling M, Schmidt B, Schneider O, Schopper A, Schune MH, Schwemmer R, Sciascia B, Sciubba A, Seco M, Semennikov A, Senderowska K, Sepp I, Serra N, Serrano J, Seyfert P, Shapkin M, Shapoval I, Shatalov P, Shcheglov Y, Shears T, Shekhtman L, Shevchenko O, Shevchenko V, Shires A, Silva Coutinho R, Skwarnicki T, Smith NA, Smith E, Sobczak K, Soler FJP, Solomin A, Soomro F, Souza De Paula B, Spaan B, Sparkes A, Spradlin P, Stagni F, Stahl S, Steinkamp O, Stoica S, Stone S, Storaci B, Straticiuc M, Straumann U, Subbiah VK, Swientek S, Szczekowski M, Szczypka P, Szumlak T, T’Jampens S, Teodorescu E, Teubert F, Thomas C, Thomas E, van Tilburg J, Tisserand V, Tobin M, Topp-Joergensen S, Torr N, Tournefier E, Tourneur S, Tran MT, Tsaregorodtsev A, Tuning N, Ubeda Garcia M, Ukleja A, Urquijo P, Uwer U, Vagnoni V, Valenti G, Vazquez Gomez R, Vazquez Regueiro P, Vecchi S, Velthuis JJ, Veltri M, Viaud B, Videau I, Vieira D, Vilasis-Cardona X, Visniakov J, Vollhardt A, Volyanskyy D, Voong D, Vorobyev A, Voss H, Wandernoth S, Wang J, Ward DR, Watson NK, Webber AD, Websdale D, Whitehead M, Wiedner D, Wiggers L, Wilkinson G, Williams MP, Williams M, Wilson FF, Wishahi J, Witek M, Witzeling W, Wotton SA, Wyllie K, Xie Y, Xing F, Xing Z, Yang Z, Young R, Yushchenko O, Zangoli M, Zavertyaev M, Zhang F, Zhang L, Zhang WC, Zhang Y, Zhelezov A, Zhong L, Zvyagin A. Measurement of ϒ production in pp collisions at [Formula: see text]. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2012; 72:2025. [PMID: 25814836 PMCID: PMC4370820 DOI: 10.1140/epjc/s10052-012-2025-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2012] [Revised: 04/20/2012] [Indexed: 05/28/2023]
Abstract
The production of ϒ(1S), ϒ(2S) and ϒ(3S) mesons in proton-proton collisions at the centre-of-mass energy of [Formula: see text] is studied with the LHCb detector. The analysis is based on a data sample of 25 pb-1 collected at the Large Hadron Collider. The ϒ mesons are reconstructed in the decay mode ϒ→μ+μ- and the signal yields are extracted from a fit to the μ+μ- invariant mass distributions. The differential production cross-sections times dimuon branching fractions are measured as a function of the ϒ transverse momentum pT and rapidity y, over the range pT <15 GeV/c and 2.0
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Liao M, Ye F, Zhang B, Huang L, Xiao Q, Qin M, Mo L, Tan A, Gao Y, Lu Z, Wu C, Zhang Y, Zhang H, Qin X, Hu Y, Yang X, Mo Z. Genome-wide association study identifies common variants at TNFRSF13B associated with IgG level in a healthy Chinese male population. Genes Immun 2012; 13:509-13. [DOI: 10.1038/gene.2012.26] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Zhou Z, Wan Y, Zhang Y, Wang Z, Jia R, Fan Y, Nie H, Ying S, Huang P, Wang F. Follicular development and expression of nuclear respiratory factor-1 and peroxisome proliferator-activated receptor γ coactivator-1 alpha in ovaries of fetal and neonatal doelings. J Anim Sci 2012; 90:3752-61. [PMID: 22665641 DOI: 10.2527/jas.2011-4971] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
In livestock, the ovarian reserve of follicles is established during the fetal stage. However, at least two-thirds of the oocytes present in the reserve die because of apoptosis before birth. Notably, mitochondria have been reported to play a crucial role in the fate (life/death) of oocytes. In this study, mitochondrial regulators nuclear respiratory factor-1 (NRF-1) and PPAR γ coactivator-1 alpha (PGC-1α) were examined during this period of follicle development to investigate their effects on follicular development and apoptosis. Fetal and neonatal Capra haimen were used, ranging in age from 60 d postcoitum (dpc) to 30 d postpartum (dpp). Our data demonstrated that egg nests were the earliest recognizable gamete cells in ovaries of fetal and neonatal doelings. Proportions of egg nests decreased from 92.68 to 25.08% whereas single follicles increased from 7.32 to 74.92% between 60 and 120 dpc. Subsequently, between 90 and 120 dpc, the proportion of primordial follicles increased from 9.98 to 61.56% (P < 0.01). However, it did not change between 1 and 30 dpp (P = 0.12). The proportion of primary follicles increased from 1.23 to 37.93% between 90 dpc to 1 dpp (P = 0.01) but did not change between 1 and 30 dpp (P = 0.11). Meanwhile, proportions of secondary and tertiary follicles increased in an age-dependent manner. In addition, results of this study suggested that NRF-1 and PGC-1α proteins are mainly localized in germ cells of egg nests, cytoplasm of oocytes, and granulosa cells of follicles ranging from primordial to tertiary follicles. The transcript abundance of NRF-1 mRNA was up-regulated in 60-dpc-old ovaries compared with 1-dpp-old ovaries (P < 0.05), but the PGC-1α mRNA expression pattern did not change (P = 0.05). Nevertheless, the number of terminal deoxynucleotidyltransferase UTP nick-end labeling (TUNEL) positive cells and caspase-3 activity in 60-dpc-old ovaries was less than those in 1-dpp-old ovaries (P < 0.01, P = 0.01). In conclusion, our results demonstrate that the key stage of primordial follicle formation is between 90 and 120 dpc in Capra haimen. Also, this study suggests that NRF-1 and PGC-1α might have roles in cell apoptosis during ovarian development of fetal and neonatal Capra haimen. These results improve our understanding of apoptotic mechanisms in oogenesis and folliculogenesis.
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Sa Y, Zhang Y, Li R, Huang Y, Zhang Y, Hu X, Feng Y. WE-C-217BCD-05: A Novel Interpolation Method for the 3D Reconstruction of Cell Structures. Med Phys 2012; 39:3950. [PMID: 28519972 DOI: 10.1118/1.4736121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To develop a new interpolation method for accurate 3D reconstruction of cell morphology from laser scanning confocal microscope (LSCM) image data. METHODS Current techniques are based on the assumption that pixel intensity or contour shapes of images change linearly in the interpolation direction. Gray-value and position of the pixel in interpolated image slice are obtained through weighted average calculation with gray-values and distances of corresponding pixels in two adjacent original image slices, only information from adjacent image slices is considered, often fail to meet the need of 3D reconstruction for cells because of the complex cell morphology. The new method interpolates cellular organelle contours in polar coordinate system. Coordinate system origin is chosen to be the mass center weighted by pixel intensity instead of conventional geometric center, contour points of the organelle is sampled by their angles first and fitted with uniform cubic B-spline to perform interpolation. For complex organelle structures such as branched nuclei, a special method combining morphological information and corner detection technique based on curvature scale space has been developed to solve the contour division and related problems. New method was applied to confocal images of 130 different cells acquired with an LSCM system (LSM510, Zeiss), sampling step was set as 0.5 μm in longitudinal direction, pixel size in horizontal plane was 0.07 μm and the resolution was 512×512. Marching cubes algorithm was used for 3D reconstruction. RESULTS Experiments showed that reconstructed 3D images with new method have much smoother and more valid organelle surfaces for both cytoplasm and nucleus than those from conventional methods. CONCLUSIONS The new interpolation method can significantly improve the quality of 3D reconstruction and serve as a valid and effective tool for quantitative study of 3D cell morphology in radiation biology and other areas of life science.*support by NSFC- 81171342. Supported by the National Science Foundation of China (NSFC- 81171342).
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Zhang Y, Ren L, Vergalasova I, Cai J, Yin F. TU-A-BRA-09: Phase-Matched Digital Tomosynthesis (DTS) Imaging for Simultaneous Target Verification during Volumetric Modulated Arc Therapy (VMAT) Treatment. Med Phys 2012. [DOI: 10.1118/1.4735877] [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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Zhang Y, Yang J, Zhang L, Court L, Balter P, Dong L. TH-E-218-05: Prediction of Respiratory Motion from Single Daily 3D Image Using Prior Model of Motion and Anatomic Variations. Med Phys 2012. [DOI: 10.1118/1.4736391] [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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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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Guo Y, Ni H, Long M, Zhang Y, Ming X, Feng Y. SU-E-I-75: A New Method for Prostate Cancer Localization Using Multispectral MRI. Med Phys 2012; 39:3642. [PMID: 28517637 DOI: 10.1118/1.4734792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To develop a new method for automatic localization of prostate cancer using multispectral MRI data. METHODS Multispectral MRI including MR spectroscopic imaging (MRSI), T2 weighted MRI, diffusion weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MRI, has been used for cancer target localization. The combination of multiple MRI imaging technologies provides more useful information than one single technology alone about prostate cancer and has advantages for target definition in radotherapy treatment and quantitative evaluation of tumor response. However, manual cancer localization using multispectral MRI dataset is a tedious task and prone to inter-/intra-observer variability. Automatic localization methods using multispectral MRI data is highly desired. In this paper, a fuzzy fusion framework for automatically localizing prostate cancer with multispectral MRI data is presented. Firstly, for each kind of MRI images, a membership function is created to calculate the membership-degrees of image elements belonging to cancer region. Secondly, a fuzzy fusion operator is used to fuse different membership- degrees corresponding to the same regions. Lastly, the Result of fusion is further adjusted with fuzzy region growing process, leading to the final membership-degree map. And cancer volume is finally defined by setting up a threshold on the map. RESULTS The new method was tested with one multispectral MRI patient dataset and results from our experimental study are compared with the one obtained form a manual method performed by an experienced pathologist. Quantitative analysis shows that the specificity is 98.89%, sensitivity is 62.85% and accuracy is 95.42%, respectively. It illustrates the feasibility of utilizing this framework in the clinical application. CONCLUSIONS The feasibility study shows the new method reported in this paper achieves automatic localization for prostate cancer and can be easily implemented in clinical applications. We are currently conducting a clinical study for testing the effectiveness and reliability, and further developing this method. *supported by NSFC-81171342 support by National Science Foundation of China (NSFC-81171342).
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Tucker A, Gidcumb E, Shan J, Qian X, Sprenger F, Spronk D, Zhang Y, Kennedy D, Farbizio T, Ruth C, Jing Z, Lu J, Zhou O. TU-E-217BCD-11: Evaluating the Performance of a Stationary Digital Breast Tomosynthesis System. Med Phys 2012; 39:3916. [DOI: 10.1118/1.4735983] [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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He H, Yu T, Zhang Y. The interaction between a drug and ultrasound in sonochemotherapy against ovarian cancers. ULTRASCHALL IN DER MEDIZIN (STUTTGART, GERMANY : 1980) 2012; 33:275-282. [PMID: 21165815 DOI: 10.1055/s-0029-1245876] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
PURPOSE Sonochemotherapy is a promising modality for cancers, but the interaction between an anticancer agent and insonation has not been understood. The interactions in vitro and in vivo were quantified in this study. MATERIALS AND METHODS The combination index (CI) and dose reduction index (DRI) were calculated, thus determining the interaction. Human ovarian cancer cells 3AO, SKOV(3), SKOV(3) /ADR, HO-8910 and HO-8910PM were subjected to a drug or sonochemotherapy (a drug followed by nonlethal insonation but in 3AO cells). SKOV(3) /ADR was an adriamycin-resistant subclone and HO-8910PM was the subline with highly metastatic potential. Adriamycin was used for 3AO, SKOV(3) and SKOV(3) /ADR cells, and cisplatin or paclitaxel employed for HO-8910 and HO-8910PM cells. Effect of the sequence of administration of a drug and insonation on the interaction was investigated in 3AO cells. RESULTS A drug followed by ultrasound led to better anticancer effects and higher CI and DRI at each concentration compared with the alternate sequence. Sonochemotherapy resulted in a higher cell-death rate, compared with a drug alone. CIs were > 1.15 in 3AO, SKOV(3) /ADR and HO-8910 cells showing synergisms, and the value in SKOV(3) indicated an addition. In HO-8910PM cells, CI was above 1.15 at ≥ 2.0 µg/ml cisplatin or ≥ 18 µg/ml paclitaxel, and the interaction shifted from a slight antagonism, an addition to a synergism when increasing the level of cisplatin. A noticeable event in HO-8910PM cells was that a slight antagonism occurred but with a higher cell-death rate. DRIs were > 1 in all cells, indicating that the use of ultrasound reduced the required dose of a drug thus decreasing toxicities. In vivo trials resulted in a CI of 1.17 for SKOV(3) tumors and a value of 1.51 for SKOV(3) /ADR ones. CONCLUSION Sonochemotherapy was effective against cancers including chemoresistant and metastatic lesions, via a synergy and/or an addition. The interaction depended on both the anticancer drug and cell type. For a specific cell type and a specific drug, modulating the dose resulted in a shift of the interaction.
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Feng C, Wu Z, Guo T, Jiang H, Guan M, Zhang Y, Wen H, Ding Q. BLCA-4 expression is related to MMP-9, VEGF, IL-1α and IL-8 in bladder cancer but not to PEDF, TNF-α or angiogenesis. ACTA ACUST UNITED AC 2012; 60:e36-40. [DOI: 10.1016/j.patbio.2011.11.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2011] [Accepted: 11/15/2011] [Indexed: 01/16/2023]
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Turner K, Cai J, Yin F, Zhang Y, Vergalasova I. SU-E-J-209: A Simple Method to Minimize Uncertainty in ITV Delineation: Phantom Verification. Med Phys 2012; 39:3700-3701. [PMID: 28519024 DOI: 10.1118/1.4735049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE Irregular breathing causes variation in delineation of internal target volume (ITV), which is typically generated in the maximum intensity projection (MIP) images [1]. Previous studies have shown that MIP-based ITV can underestimate true tumor range [2]. This study examines a simple method to reduce such errors by combining the GTV of 3D-CT with the ITV of MIP. METHODS The Computerized Imaging Reference Systems (CIRS) Dynamic Thorax Phantom Model 008A (CIRS, Norfolk, VA) with CIRS motion control software was used to model 4 irregular patient respiratory profiles and one regular respiratory profile (sine wave). A 3 cm tumor insert was used as target. For each breathing profile, a 3D-CT and 3 repeated 4D-CT scans with random intervals within the breathing profile were performed on a 4-slice clinical scanner (Lightspeed, GE, WI). The RPM system (Varian, Palo Alto, CA) was used to track the respiratory profiles. GTV was contoured on 3D-CT, and ITV was contoured on each MIP (ITVMIP) using a consistent lung window by the same person. The new method of creating ITV was to combine the GTV and ITVMIP, namely ITVCOMB. To evaluate which ITV is more accurate, ITVCOMB and ITVMIP were compared to a 'ground truth' ITV (ITVGT) which was generated by combining the three ITVMIPs. RESULTS For the regular profile, both ITVMIP (27.25 cm3 ) and ITVCOMB (28.12 cm3 ) were comparable to ITVGT (27.25 cm3 ). For irregular profiles, the mean absolute difference between ITVCOMB and ITVGT (6.3%±4.9) was significantly (p-value=0.0078) smaller than that between ITVMIP and ITVGT (18.1%±12.3). CONCLUSIONS The results suggest that combining GTV of the 3D-CT with the ITV of the MIP is more accurate than the ITV of the MIP alone, and thus would be a simple method to reduce breathing irregularity induced errors in ITV delineation for treatment planning of lung cancer.
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Shamji M, Moon ES, Glennie R, Soroceanu A, Lin C, Bailey C, Simmonds A, Fehlings M, Dodwell E, Dold A, El-Hawary R, Hashem M, Dold A, Dold A, Jones S, Bailey C, Karadimas S, Whitehurst D, Norton J, Norton J, Manson N, Kesani A, Bednar D, Lundine K, Hartig D, Fichadi A, Fehlings M, Kim S, Harris S, Lin C, Gill J, Abraham E, Shamji M, Choi S, Goldstein C, Wang Z, McCabe M, Noonan V, Nadeau M, Ferrara S, Kelly A, Melnyk A, Arora D, Quateen A, Dea N, Ranganathan A, Zhang Y, Casha S, Rajamanickam K, Santos A, Santos A, Wilson J, Wilson J, Street J, Wilson J, Lewis R, Noonan V, Street J, El-Hawary R, Egge N, Lin C, Schouten R, Lin C, Kim A, Kwon B, Huang E, Hwang P, Allen K, Jing L, Mata B, Gabr M, Richardson W, Setton L, Karadimas S, Fehlings M, Fleming J, Bailey C, Gurr K, Bailey S, Siddiqi F, Lawendy A, Sanders D, Staudt M, Canacari E, Brown E, Robinson A, McGuire K, Chrysostoum C, Rampersaud YR, Dvorak M, Thomas K, Boyd M, Gurr K, Bailey S, Nadeau M, Fisher C, Batke J, Street J, Boyd M, Dvorak M, Fisher C, Kwon B, Paquette S, Vaccaro A, Chapman J, Arnold P, Shaffrey C, Kopjar B, Snyder B, Wright J, Lewis S, Zeller R, El-Hawary R, Moroz P, Bacon S, Jarzem P, Hedden D, Howard J, Sturm P, Cahill P, Samdani A, Vitale M, Gabos P, Bodin N, d’Amato C, Harris C, Smith J, Parent E, Hill D, Hedden D, Moreau M, Mahood J, Lewis S, Bodrogi A, Abbas H, Goldstein S, Bronstein Y, Bacon S, Chua S, Magana S, Van Houwelingen A, Halpern E, Jhaveri S, Lewis S, Lim A, Leelapattana P, Fleming J, Siddiqqi F, Bailey S, Gurr K, Moon ES, Satkunendrarajah K, Fehlings M, Noonan V, Dvorak M, Bryan S, Aronyk K, Fox R, Nataraj A, Pugh J, Elliott R, McKeon M, Abraham E, Fleming J, Gurr K, Bailey S, Siddiqi F, Bailey C, Davis G, Rogers M, Staples M, Quan G, Batke J, Boyd M, Dvorak M, Fisher C, Kwon B, Paquette S, Street J, Shamji M, Hurlbert R, Jacobs W, Duplessis S, Casha S, Jha N, Hewson S, Massicotte E, Kopjar B, Mortaz S, Coyte P, Rampersaud Y, Rampersaud Y, Goldstein S, Andrew B, Modi H, Magana S, Lewis S, Roffey D, Miles I, Wai E, Manson N, Eastwood D, Elliot R, McKeon M, Bains I, Yong E, Sutherland G, Hurlbert R, Rampersaud Y, Chan V, Persaud O, Koshkin A, Brull R, Hassan N, Petis S, Kowalczuk M, Petrisor B, Drew B, Bhandari M, DiPaola C, Boyd M, Dvorak M, Fisher C, Kwon B, Paquette S, Street J, McLachlin S, Bailey S, Gurr K, Bailey C, Dunning C, Fehlings M, Vaccaro A, Wing P, Itshayek E, Biering-Sorensen F, Dvorak M, McLachlin S, Bailey S, Gurr K, Dunning C, Bailey C, Bradi A, Pokrupa R, Batke J, Boyd M, Dvorak M, Fisher C, Kwon B, Paquette S, Street J, Kelly A, Wen T, Kingwell S, Chak J, Singh V, Cripton P, Fisher C, Dvorak M, Oxland T, Wali Z, Yen D, Alfllouse A, Alzahrani A, Jiang H, Mahood J, Kortbeek F, Fox R, Nataraj A, Street J, Boyd M, Paquette S, Kwon B, Batke J, Dvorak M, Fisher C, Reddy R, Rampersaud R, Hurlbert J, Yong W, Casha S, Zygun D, McGowan D, Bains I, Yong V, Hurlbert R, Mendis B, Chakraborty S, Nguyen T, Tsai E, Chen A, Atkins D, Noonan V, Drew B, Tsui D, Townson A, Dvorak M, Chen A, Atkins D, Noonan V, Drew B, Dvorak M, Craven C, Ford M, Ahn H, Drew B, Fehlings M, Kiss A, Vaccaro A, Harrop J, Grossman R, Frankowski R, Guest J, Dvorak M, Aarabi B, Fehlings M, Noonan V, Cheung A, Sun B, Dvorak M, Vaccaro A, Harrop J, Massicotte E, Dvorak M, Fisher C, Rampersaud R, Lewis S, Fehlings M, Marais L, Noonan V, Queyranne M, Fehlings M, Dvorak M, Atkins D, Hurlbert R, Fox R, Fourney D, Johnson M, Fehlings M, Ahn H, Ford M, Yee A, Finkelstein J, Tsai E, Bailey C, Drew B, Paquet J, Parent S, Christie S, Dvorak M, Noonan V, Cheung A, Sun B, Dvorak M, Sturm P, Cahill P, Samdani A, Vitale M, Gabos P, Bodin N, d’Amato C, Harris C, Smith J, Lange J, DiPaola C, Lapinsky A, Connolly P, Eck J, Rabin D, Zeller R, Lewis S, Lee R, Boyd M, Dvorak M, Fisher C, Kwon B, Paquette S, DiPaola C, Street J, Bodrogi A, Goldstein S, Sofia M, Lewis S, Shin J, Tung K, Ahn H, Lee R, Batke J, Ghag R, Noonan V, Dvorak M, Goyal T, Littlewood J, Bains I, Cho R, Thomas K, Swamy G. Canadian Spine Society abstracts1.1.01 Supraspinal modulation of gait abnormalities associated with noncompressive radiculopathy may be mediated by altered neurotransmitter sensitivity1.1.02 Neuroprotective effects of the sodium-glutamate blocker riluzole in the setting of experimental chronic spondylotic myelopathy1.1.03 The effect of timing to decompression in cauda equina syndrome using a rat model1.2.04 Intraoperative waste in spine surgery: incidence, cost and effectiveness of an educational program1.2.05 Looking beyond the clinical box: the health services impact of surgical adverse events1.2.06 Brace versus no brace for the treatment of thoracolumbar burst fractures without neurologic injury: a multicentre prospective randomized controlled trial1.2.07 Adverse event rates in surgically treated spine injuries without neurologic deficit1.2.08 Functional and quality of life outcomes in geriatric patients with type II odontoid fracture: 1-year results from the AOSpine North America Multi-Center Prospective GOF Study1.3.09 National US practices in pediatric spinal fusion: in-hospital complications, length of stay, mortality, costs and BMP utilization1.3.10 Current trends in the surgical treatment of adolescent idiopathic scoliosis in Canada1.3.11 Sagittal spinopelvic parameters help predict the risk of proximal junctional kyphosis for children treated with posterior distraction-based implants1.4.12 Correlations between changes in surface topography and changes in radiograph measurements from before to 6 months after surgery in adolescents with idiopathic scoliosis1.4.13 High upper instrumented vertebra (UIV) sagittal angle is associated with UIV fracture in adult deformity corrections1.4.14 Correction of adult idiopathic scoliosis using intraoperative skeletal traction1.5.01 Cauda equina: using management protocols to reduce delays in diagnosis1.5.02 Predicting the need for tracheostomy in patients with acute traumatic spinal cord injury1.5.03 A novel animal model of cervical spondylotic myelopathy: an opportunity to identify new therapeutic targets1.5.04 A review of preference-based measures of health-related quality of life in spinal cord injury research1.5.05 Predicting postoperative neuropathic pain following surgery involving nerve root manipulation based on intraoperative electromyographic activity1.5.06 Detecting positional injuries in prone spinal surgery1.5.07 Percutaneous thoracolumbar stabilization for trauma: surgical morbidity, clinical outcomes and revision surgery1.5.08 Systemic inflammatory response syndrome in spinal cord injury patients: Does its presence at admission affect patient outcomes?2.1.15 One hundred years of spine surgery — a review of the evolution of our craft and practice in the spine surgical century [presentation]2.1.16 Prevalence of preoperative MRI findings of adjacent segment disc degeneration in patients undergoing anterior cervical discectomy and fusion2.1.17 Adverse event rates of surgically treated cervical spondylopathic myelopathy2.1.18 Morphometricand dynamic changes in the cervical spine following anterior cervical discectomy and fusion and cervical disc arthroplasty2.1.19 Is surgery for cervical spondylotic myelopathy cost-effective? A cost–utility analysis based on data from the AO Spine North American Prospective Multicentre CSM Study2.2.20 Cost–utility of lumbar decompression with or without fusion for patients with symptomatic degenerative lumbar spondylolisthesis (DLS)2.2.21 Minimally invasive surgery lumbar fusion for low-grade isthmic and degenerative spondylolisthesis: 2- to 5-year follow-up2.2.22 Results and complications of posterior-only reduction and fusion for high-grade spondylolisthesis2.3.23 Fusion versus no fusion in patients with central lumbar spinal stenosis and foraminal stenosis undergoing decompression surgery: comparison of outcomes at baseline and follow-up2.3.24 Two-year results of interspinous spacers (DIAM) as an alternative to arthrodesis for lumbar degenerative disorders2.3.25 Treatment of herniated lumbar disc by sequestrectomy or conventional discectomy2.4.26 No sustained benefit of continuous epidural analgesia for minimally invasive lumbar fusion: a randomized double-blinded placebo controlled study2.4.27 Evidence and current practice in the radiologic assessment of lumbar spine fusion2.4.28 Wiltse versus midline approach for decompression and fusion of the lumbar spine2.5.09 The effect of soft tissue restraints following type II odontoid fractures in the elderly — a biomechanical study2.5.10 Development of an international spinal cord injury (SCI) spinal column injury basic data set2.5.11 Evaluation of instrumentation techniques for a unilateral facet perch and fracture using a validated soft tissue injury model2.5.12 Decreasing neurologic consequences in patients with spinal infection: the testing of a novel diagnostic guideline2.5.13 Prospective analysis of adverse events in surgical treatment of degenerative spondylolisthesis2.5.14 Load transfer characteristics between posterior fusion devices and the lumbar spine under anterior shear loading: an in vitro investigation2.5.15 Preoperative predictive clinical and radiographic factors influencing functional outcome after lumbar discectomy2.5.16 A Thoracolumbar Injury Classification and Severity Score (TLICS) of 4: What should we really do?3.1.29 Adverse events in emergent oncologic spine surgery: a prospective analysis3.1.30 En-bloc resection of primary spinal and paraspinal tumours with critical vascular involvement3.1.31 The treatment impact of minocycline on quantitative MRI in acute spinal cord injury3.1.32 Benefit of minocycline in spinal cord injury — results of a double-blind randomized placebo-controlled study3.2.33 Improvement of magnetic resonance imaging correlation with unilateral motor or sensory deficits using diffusion tensor imaging3.2.34 Comparing care delivery for acute traumatic spinal cord injury in 2 Canadian centres: How do the processes of care differ?3.2.35 Improving access to early surgery: a comparison of 2 centres3.3.36 The effects of early surgical decompression on motor recovery after traumatic spinal cord injury: results of a Canadian multicentre study3.3.37 A clinical prediction model for long-term functional outcome after traumatic spinal cord injury based on acute clinical and imaging factors3.3.38 Effect of motor score on adverse events and quality of life in patients with traumatic spinal cord injury3.4.39 The impact of facet dislocation on neurologic recovery after cervical spinal cord injury: an analysis of data on 325 patients from the Surgical Trial in Acute Spinal Cord Injury Study (STASCIS)3.4.40 Toward a more precise understanding of the epidemiology of traumatic spinal cord injury in Canada3.4.41 Access to care (ACT) for traumatic SCI: a survey of acute Canadian spine centres3.4.42 Use of the Spine Adverse Events Severity (SAVES) instrument for traumatic spinal cord injury3.5.17 Does the type of distraction-based growing system for early onset scoliosis affect postoperative sagittal alignment?3.5.18 Comparison of radiation exposure during thoracolumbar fusion using fluoroscopic guidance versus anatomic placement of pedicle screws3.5.19 Skeletal traction for intraoperative reduction in adolescent idiopathic scoliosis3.5.20 Utility of intraoperative cone-beam computed tomography (O-ARM) and stereotactic navigation in acute spinal trauma surgery3.5.21 Use of a central compression rod to reduce thoracic level spinal osteotomies3.5.22 ICD-10 coding accuracy for spinal cord injured patients3.5.23 Feasibility of patient recruitment in acute SCI trials3.5.24 Treatment of adult degenerative scoliosis with DLIF approaches. Can J Surg 2012. [DOI: 10.1503/cjs.012212] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Garrett J, Tang J, Zhang Y, Ruth C, Jing Z, Chen GH. TU-E-217BCD-10: Dose Reduction in Digital Breast Tomosynthesis with the Dose Reduction Prior Image Constrained Compressed Sensing (DR-PICCS) Algorithm. Med Phys 2012; 39:3916. [DOI: 10.1118/1.4735982] [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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Montgomery JP, Zhang Y, Wells EV, Liu Y, Clayton JL, Wang X, Boulton ML. Human rabies in Tianjin, China. J Public Health (Oxf) 2012; 34:505-11. [DOI: 10.1093/pubmed/fds041] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Liu H, Gu D, Sheng L, Wang Q, Zhang Y. Investigation of the roles of T6SS genes in motility, biofilm formation, and extracellular protease Asp production in Vibrio alginolyticus with modified Gateway-compatible plasmids. Lett Appl Microbiol 2012; 55:73-81. [PMID: 22563695 DOI: 10.1111/j.1472-765x.2012.03263.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
AIMS The aims of this study were to create and evaluate the Gateway-compatible plasmids for investigating the function of genes in Vibrio alginolyticus and other Gram-negative bacteria. METHODS AND RESULTS In this study, Gateway-compatible plasmids were successfully constructed for rapid and comprehensive function analysis of genes. Taking advantage of these plasmids, the in-frame deletion mutant strains and their complemented strains of five T6SS genes, including dotU1, VEPGS_0008, VEPGS_0011, hcp2 and ppkA2, were obtained. The results illustrated that all the mutant strains showed no significant effects on extracellular protease production, expression of Hcp1, and biofilm formation when compared to the wild-type strain, but in-frame deletion of VEPGS_0008 resulted in obvious biofilm reduction and the complemented strain restored to the level of the wild-type strain. Besides, in-frame deletion of dotU1, VEPGS_0008 and ppkA2 abolished the swarming ability. CONCLUSIONS A set of Gateway-compatible vectors for internal insertion, in-frame deletion and complementation of the target genes is constructed to facilitate the general and rapid function analysis of genes involved in T6SS in Vibrio alginolyticus. SIGNIFICANCE AND IMPACT OF THE STUDY The modified Gateway-compatible plasmids greatly facilitate the high-throughput and convenient function analysis of the unidentified genes.
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