3,406 results on '"Su G."'
Search Results
52. Investigations on the Thermal-hydraulic Behavior of Accident Tolerant Fuel Cladding Materials
- Author
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Su, G., primary, Bucci, M., additional, and Sabharwall, Piyush, additional
- Published
- 2020
- Full Text
- View/download PDF
53. Off-Diagonal Long Range Order in Emergent Quantum Phases
- Author
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Su, G., primary
- Published
- 2018
- Full Text
- View/download PDF
54. Age-dependent genetic and environmental variance of semen quality in Nordic Holstein bulls
- Author
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Salimiyekta, Y., primary, Jensen, J., additional, Su, G., additional, and Gebreyesus, G., additional
- Published
- 2023
- Full Text
- View/download PDF
55. Heat Shock Protein 90: Target Molecular Regulator in Acute Pancreatitis and Pancreatic Ductal Adenocarcinoma
- Author
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Gulla, A., primary, Strupas, K., additional, Chun, M., additional, Wanglong, Q., additional, and Su, G., additional
- Published
- 2023
- Full Text
- View/download PDF
56. EXPERIMENTAL INVESTIGATION ON STEAM GENERATOR TUBE RUPTURE (SGTR) ACCIDENT OF LEAD-COOLED FAST REACTORS BASED ON LEST FACILITY
- Author
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Yu, Qifan, primary, Zhao, Yafeng, additional, Qiu, Suizheng, additional, Wang, Chenglong, additional, Zhang, Dalin, additional, Tian, Wenxi, additional, and SU, G. H., additional
- Published
- 2023
- Full Text
- View/download PDF
57. Joint genome-wide association study for milk fatty acid traits in Chinese and Danish Holstein populations
- Author
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Li, X., Buitenhuis, A.J., Lund, M.S., Li, C., Sun, D., Zhang, Q., Poulsen, N.A., and Su, G.
- Published
- 2015
- Full Text
- View/download PDF
58. Bootstrap study of genome-enabled prediction reliabilities using haplotype blocks across Nordic Red cattle breeds
- Author
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Cuyabano, B.C.D., Su, G., Rosa, G.J.M., Lund, M.S., and Gianola, D.
- Published
- 2015
- Full Text
- View/download PDF
59. Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction
- Author
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Brøndum, R.F., Su, G., Janss, L., Sahana, G., Guldbrandtsen, B., Boichard, D., and Lund, M.S.
- Published
- 2015
- Full Text
- View/download PDF
60. Short communication: Improving accuracy of Jersey genomic evaluations in the United States and Denmark by sharing reference population bulls
- Author
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Wiggans, G.R., Su, G., Cooper, T.A., Nielsen, U.S., Aamand, G.P., Guldbrandtsen, B., Lund, M.S., and VanRaden, P.M.
- Published
- 2015
- Full Text
- View/download PDF
61. The dissemination mode of drug-resistant genes in Enterobacter cloacae
- Author
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Liu, J, Zeng, T, Su, G, Lin, LY, Zhao, Y, Yang, WQ, Xie, WX, Zhao, ZG, and Li, GM
- Published
- 2015
- Full Text
- View/download PDF
62. 814. Impact of genotyping strategy on the accuracy of genomic prediction for survival in pigs
- Author
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Liu, T., primary, Nielsen, B., additional, Christensen, O.F., additional, Lund, M.S., additional, and Su, G., additional
- Published
- 2022
- Full Text
- View/download PDF
63. 487. Bull effects on in vitro embryo production quality traits are repeatable and heritable
- Author
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Gebreyesus, G., primary, Secher, J.B., additional, Lund, M.S., additional, Kupisiewicz, K., additional, Ivask, M., additional, and Su, G., additional
- Published
- 2022
- Full Text
- View/download PDF
64. 784. Non-genetic correlations between production traits and litter traits in pigs are important to account for
- Author
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Ostersen, T., primary, Henryon, M., additional, Guo, X., additional, Christensen, O.F., additional, Su, G., additional, and Sørensen, A.C., additional
- Published
- 2022
- Full Text
- View/download PDF
65. 785. Breeding for component traits of litter size at day 5 increases piglet survival while maintaining litter size at day 5
- Author
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Henryon, M., primary, Ostersen, T., additional, Guo, X., additional, Su, G., additional, and Sørensen, A.C., additional
- Published
- 2022
- Full Text
- View/download PDF
66. 778. Feasibility of reducing mortality of pigs from birth to slaughter by genetic selection
- Author
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Su, G., primary, Liu, T., additional, Christensen, O.F., additional, Lund, M.S., additional, and Nielsen, B., additional
- Published
- 2022
- Full Text
- View/download PDF
67. 342. Breed-origin-of-alleles approach using summary statistics for multi-breed genomic prediction in dairy cattle
- Author
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Clasen, J.B., primary, Fikse, W.F., additional, Su, G., additional, and Karaman, E., additional
- Published
- 2022
- Full Text
- View/download PDF
68. 174. Genomic prediction using breed origin of alleles model accounting for probabilities in the assignment of the alleles
- Author
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Guillenea, A., primary, Su, G., additional, Lund, M.S., additional, and Karaman, E., additional
- Published
- 2022
- Full Text
- View/download PDF
69. 330. Including local genomic breed proportions in genomic predictions for crossbred
- Author
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Eiríksson, J.H., primary, Su, G., additional, and Christensen, O.F., additional
- Published
- 2022
- Full Text
- View/download PDF
70. Molecular dynamics simulation of tensile deformation behavior of single-crystal Fe–Cr–Al before and after irradiation
- Author
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Ye, Tianzhou, primary, Wang, Zetao, additional, Wu, Yingwei, additional, Zhang, Jing, additional, Chen, Ping, additional, Wang, Mingjun, additional, Tian, Wenxi, additional, Su, G. H., additional, and Qiu, Suizheng, additional
- Published
- 2022
- Full Text
- View/download PDF
71. Data publication: A network-based approach to identifying correlations between phylogeny, morphological traits and occurrence of fish species in US river basins
- Author
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Tripathi, R., Reza, A., Su, G., Mertel, A., and Calabrese, J.
- Subjects
Species Co-occurrence ,Morphological Traits ,Complex Networks ,Phylogenetic Distance - Abstract
There are three primary datasets used in this work.These were obtained fromDr. Guohuan Su (co-author on the paper) . 1. Phylogenetic distance data sets between all fish species in the US. 2. Morphological traits dataset that list 10 traits information of fish species. 3. Occurrence dataset that list occurrence information of fish species in HUC8 regions of the US There is one dataset that lists exotic species in the US. The entries for exotic species are removed from about datasets before analysis.
- Published
- 2023
72. Research on the Safe Distance of UAV Carrying Manipulator for Inspection and Repair of Transmission Line
- Author
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Zhang W L, Wang W. Y., Ji G. Y., Shi H, Pan J, Niu P J, and Su G Q
- Subjects
Environmental sciences ,GE1-350 - Abstract
When the drone is equipped with a robotic arm to replace the manual maintenance of the transmission line, the insulating parts in the drone maintenance system are prone to discharge and breakdown risks. In this paper, combined with the actual parameters of the transmission line and the UAV maintenance system, the finite element software is used to establish the electric field simulation model of the transmission line and the UAV maintenance system, and mainly analyzes the influence of the electric field around the transmission line on the UAV maintenance system at different distances. It is concluded that the distance between the overhaul system of the drone equipped with a robotic arm is greater than or equal to 0.02m, and there is no discharge breakdown of the insulation components; and the drone is carried out by building a test platform for the drone equipped with robotic arm to overhaul the transmission line. The safety distance test study of the robotic arm overhaul system shows that the safe working distance of the insulated components of the drone equipped with robotic arm overhaul system is 0.09m. This research provides a guarantee for the safe operation of the power transmission line equipped with the robotic arm overhauled by the drone in actual scenarios.
- Published
- 2020
- Full Text
- View/download PDF
73. Comparative effectiveness and safety of non-vitamin K antagonists for atrial fibrillation in clinical practice:: GLORIA-AF Registry
- Author
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Lip G. Y. H., Kotalczyk A., Teutsch C., Diener H. -C., Dubner S. J., Halperin J. L., Ma C. -S., Rothman K. J., Marler S., Gurusamy V. K., Huisman M. V., Abban D. W., Aziz E., Kalan M. B., Abdul N., Backes L. M., Bradman D., Abud A. M., Badings E., Brautigam D., Adams F., Bagni E., Breton N., Addala S., Baker S. H., Brouwers P. J. A. M., Adragao P., Bala R., Browne K., Ageno W., Baldi A., Cortada J. B., Aggarwal R., Bando S., Bruni A., Agosti S., Banerjee S., Brunschwig C., Agostoni P., Bank A., Buathier H., Aguilar F., Esquivias G. B., Buhl A., Linares J. A., Barr C., Bullinga J., Aguinaga L., Bartlett M., Cabrera J. W., Ahmed J., Basic Kes V., Caccavo A., Aiello A., Baula G., Cai S., Ainsworth P., Behrens S., Caine S., Aiub J. R., Bell A., Calo L., Al-Dallow R., Benedetti R., Calvi V., Alderson L., Mazuecos J. B., Sanchez M. C., Velasco J. A. A., Benhalima B., Candeias R., Alexopoulos D., Bergler-Klein J., Capuano V., Manterola F. A., Berneau J. -B., Capucci A., Aliyar P., Bernstein R. A., Caputo R., Alonso D., Berrospi P., Rizo T. C., da Costa F. A. A., Berti S., Cardona F., Amado J., Berz A., da Costa Darrieux F. C., Amara W., Best E., Vera Y. C. D., Amelot M., Bettencourt P., Carolei A., Amjadi N., Betzu R., Carreno S., Ammirati F., Bhagwat R., Carvalho P., Andrade M., Bhatta L., Cary S., Andrawis N., Biscione F., Casu G., Annoni G., Bisignani G., Cavallini C., Ansalone G., Black T., Cayla G., Ariani M. K., Bloch M. J., Celentano A., Arias J. C., Bloom S., Cha T. -J., Armero S., Blumberg E., Cha K. S., Arora C., Bo M., Chae J. K., Aslam M. S., Bohmer E., Chalamidas K., Asselman M., Bollmann A., Challappa K., Audouin P., Bongiorni M. G., Chand S. P., Augenbraun C., Boriani G., Chandrashekar H., Aydin S., Boswijk D. J., Chartier L., Bott J., Chatterjee K., Ayryanova I., Bottacchi E., Ayala C. A. C., Cheema A., Davis G., Evonich R., Davy J. -M., Evseeva O., Chen L., Dayer M., Ezhov A., Chen S. -A., De Biasio M., Fahmy R., Chen J. H., De Bonis S., Fang Q., Chiang F. -T., De Caterina R., Farsad R., Chiarella F., De Franceschi T., Fauchier L., Chih-Chan L., de Groot J. R., Favale S., Cho Y. K., De Horta J., Fayard M., Choi J. -I., De La Briolle A., Fedele J. L., Choi D. J., de la Pena Topete G., Fedele F., Chouinard G., de Paola A. A. V., Fedorishina O., Chow D. H. -F., de Souza W., Fera S. R., Chrysos D., de Veer A., Ferreira L. G. G., Chumakova G., De Wolf L., Ferreira J., Valenzuela E. J. J. R. C., Decoulx E., Ferri C., Nica N. C., Deepak S., Ferrier A., Cislowski D. J., Defaye P., Ferro H., Clay A., Munoz F. D. -C., Finsen A., Clifford P., Brkljacic D. D., First B., Cohen A., Deumite N. J., Fischer S., Cohen M., Di Legge S., Fonseca C., Cohen S., Diemberger I., Almeida L. F., Colivicchi F., Dietz D., Forman S., Collins R., Dionisio P., Frandsen B., Colonna P., Dong Q., French W., Compton S., dos Santos F. R., Friedman K., Connolly D., Dotcheva E., Friese A., Conti A., Doukky R., Fruntelata A. G., Buenostro G. C., D'Souza A., Fujii S., Coodley G., Dubrey S., Fumagalli S., Cooper M., Ducrocq X., Fundamenski M., Coronel J., Dupljakov D., Furukawa Y., Corso G., Duque M., Gabelmann M., Sales J. C., Dutta D., Gabra N., Cottin Y., Duvilla N., Gadsboll N., Covalesky J., Duygun A., Galinier M., Cracan A., Dziewas R., Gammelgaard A., Crea F., Eaton C. B., Ganeshkumar P., Crean P., Eaves W., Gans C., Crenshaw J., Ebels-Tuinbeek L. A., Quintana A. G., Cullen T., Ehrlich C., Gartenlaub O., Darius H., Eichinger-Hasenauer S., Gaspardone A., Dary P., Eisenberg S. J., Genz C., Dascotte O., Jabali A. E., Georger F., Dauber I., Shahawy M. E., Georges J. -L., Davalos V., Hernandes M. E., Georgeson S., Davies R., Izal A. E., Giedrimas E., Gierba M., Haruna T., Jarmukli N., Ortega I. G., Hayek E., Jeanfreau R. J., Gillespie E., Healey J., Jenkins R. D., Giniger A., Hearne S., Sanchez C. J., Giudici M. C., Heffernan M., Jimenez J., Gkotsis A., Heggelund G., Jobe R., Glotzer T. V., Heijmeriks J. A., Joen-Jakobsen T., Gmehling J., Hemels M., Jones N., Gniot J., Hendriks I., Jorge J. C. M., Goethals P., Henein S., Jouve B., Goldbarg S., Her S. -H., Jung B. C., Goldberg R., Hermany P., Jung K. T., Goldmann B., Del Rio J. E. H., Jung W., Golitsyn S., Higashino Y., Kachkovskiy M., Gomez S., Hill M., Kafkala K., Mesa J. G., Hisadome T., Kalinina L., Gonzalez V. B., Hishida E., Kallmunzer B., Hermosillo J. A. G., Hoffer E., Kamali F., Lopez V. M. G., Hoghton M., Kamo T., Gorka H., Hong K., Kampus P., Gornick C., Hong S., Kashou H., Gorog D., Horbach S., Kastrup A., Gottipaty V., Horiuchi M., Katsivas A., Goube P., Hou Y., Kaufman E., Goudevenos I., Hsing J., Kawai K., Graham B., Huang C. -H., Kawajiri K., Greer G. S., Huckins D., Kazmierski J. F., Gremmler U., Hughes K., Keeling P., Grena P. G., Huizinga A., Saraiva J. F. K., Grond M., Hulsman E. L., Ketova G., Gronda E., Hung K. -C., Khaira A. S., Gronefeld G., Hwang G. -S., Khripun A., Gu X., Ikpoh M., Kim D. -I., Torres I. G. T., Imberti D., Kim Y. H., Guardigli G., Ince H., Kim N. H., Guevara C., Indolfi C., Kim D. K., Guignier A., Inoue S., Kim J. S., Gulizia M., Irles D., Gumbley M., Iseki H., Kim K. S., Gunther A., Israel C. N., Kim J., Ha A., Iteld B., Kinova E., Hahalis G., Iyer V., Klein A., Hakas J., Jackson-Voyzey E., Kmetzo J. J., Hall C., Jaffrani N., Kneller G. L., Han B., Jager F., Knezevic A., Han S., James M., Koh S. M. A., Hargrove J., Jang S. -W., Koide S., Hargroves D., Jaramillo N., Kollias A., Kooistra J. A., Li W., McClure J., Koons J., Li X., McCormack T., Koschutnik M., Lichy C., McGarity W., Kostis W. J., Lieber I., McIntyre H., Kovacic D., Rodriguez R. H. L., McLaurin B., Kowalczyk J., Lin H., Alvaro F., Palomino M., Koziolova N., Melandri F., Kraft P., Liu F., Meno H., Kragten J. A., Liu H., Menzies D., Krantz M., Esperon G. L., Mercader M., Krause L., Navarro N. L., Meyer C., Krenning B. J., Lo E., Meyer B. J., Krikke F., Lokshyn S., Miarka J., Kromhout Z., Lopez A., Mibach F., Krysiak W., Lopez-Sendon J. L., Michalski D., Kumar P., Filho A. M. L., Michel P., Kumler T., Lorraine R. S., Chreih R. M., Kuniss M., Luengas C. A., Luengas A., Mikdadi G., Kuo J. -Y., Luke R., Mikus M., Kuppers A., Luo M., Milicic D., Kurrelmeyer K., Lupovitch S., Militaru C., Kwak C. H., Lyrer P., Minaie S., Laboulle B., Ma C., Minescu B., Labovitz A., Ma G., Mintale I., Ter Lai W., Madariaga I., Mirault T., Lam A., Maeno K., Mirro M. J., Lam Y. Y., Magnin D., Mistry D., Lanas Zanetti F., Maid G., Miu N. V., Landau C., Mainigi S. K., Miyamoto N., Landini G., Makaritsis K., Moccetti T., Lanna Figueiredo E., Malhotra R., Mohammed A., Larsen T., Manning R., Nor A. M., Lavandier K., Manolis A., Mollerus M., LeBlanc J., Hurtado H. A. M., Molon G., Lee M. H., Mantas I., Mondillo S., Lee C. -H., Jattin F. M., Moniz P., Lehman J., Maqueda V., Mont L., Leitao A., Marchionni N., Montagud V., Lellouche N., Ortuno F. M., Montana O., Lelonek M., Santana A. M., Monti C., Lenarczyk R., Martinez J., Moretti L., Lenderink T., Maskova P., Mori K., Gonzalez S. L., Hernandez N. M., Moriarty A., Leong-Sit P., Matsuda K., Morka J., Leschke M., Maurer T., Moschini L., Ley N., Mauro C., Moschos N., Li Z., May E., Mugge A., Mayer N., Mulhearn T. J., Muresan C., Jose E. P., Precoma D. B., Muriago M., Padilla F. G. P., Prelle A., Musial W., Rios V. P., Prodafikas J., Musser C. W., Pajes G., Protasov K., Musumeci F., Pandey A. S., Pye M., Nageh T., Paparella G., Qiu Z., Nakagawa H., Paris F., Quedillac J. -M., Nakamura Y., Park H. W., Raev D., Nakayama T., Park J. S., Grado C. A. R., Nam G. -B., Parthenakis F., Rahimi S., Nanna M., Passamonti E., Raisaro A., Natarajan I., Patel R. J., Rama B., Nayak H. M., Patel J., Ramos R., Naydenov S., Patel M., Ranieri M., Nazlic J., Patrick J., Raposo N., Nechita A. C., Jimenez R. P., Rashba E., Nechvatal L., Paz A., Rauch-Kroehnert U., Negron S. A., Pengo V., Reddy R., Neiman J., Pentz W., Renda G., Neuenschwander F. C., Perez B., Reza S., Neves D., Rios A. M. P., Ria L., Neykova A., Perez-Cabezas A., Richter D., Miguel R. N., Perlman R., Rickli H., Nijmeh G., Persic V., Rieker W., Nizov A., Perticone F., Vera T. R., Campos R. N., Peters T. K., Ritt L. E., Nossan J., Petkar S., Roberts D., Novikova T., Pezo L. F., Briones I. R., Nowalany-Kozielska E., Pflucke C., Escudero A. E. R., Nsah E., Pham D. N., Pascual C. R., Fragoso J. C. N., Phillips R. T., Roman M., Nurgalieva S., Phlaum S., Romeo F., Nuyens D., Pieters D., Ronner E., Nyvad O., Pineau J., Roux J. -F., de Los Rios Ibarra M. O., Pinter A., Rozkova N., O'Donnell P., Pinto F., Rubacek M., O'Donnell M., Pisters R., Rubalcava F., Oh S., Pivac N., Russo A. M., Oh Y. S., Pocanic D., Rutgers M. P., Oh D., Podoleanu C., Rybak K., O'Hara G., Politano A., Said S., Oikonomou K., Poljakovic Z., Sakamoto T., Olivares C., Pollock S., Salacata A., Oliver R., Garcea J. P., Salem A., Ruiz R. O., Poppert H., Bodes R. S., Olympios C., Porcu M., Saltzman M. A., Omaszuk-Kazberuk A., Reino A. P., Salvioni A., Asensi J. O., Prasad N., Vallejo G. S., Fernandez M. S., Sokal A., Tu T. M., Saporito W. F., Yan Y. S. O., Tuininga Y., Sarikonda K., Sotolongo R., Turakhia M., Sasaoka T., de Souza O. F., Turk S., Sati H., Sparby J. A., Turner W., Savelieva I., Spinar J., Tveit A., Scala P. -J., Sprigings D., Tytus R., Schellinger P., Spyropoulos A. C., Valadao C., Scherr C., Stakos D., van Bergen P. F. M. M., Schmitz L., Steinwender C., van de Borne P., Schmitz K. -H., Stergiou G., van den Berg B. J., Schmitz B., Stiell I., van der Zwaan C., Schnabel T., Stoddard M., Van Eck M., Schnupp S., Stoikov A., Vanacker P., Schoeniger P., Streb W., Vasilev D., Schon N., Styliadis I., Vasilikos V., Schwimmbeck P., Su G., Vasilyev M., Seamark C., Su X., Veerareddy S., Searles G., Sudnik W., Mino M. V., Seidl K. -H., Sukles K., Venkataraman A., Seidman B., Sun X., Verdecchia P., Sek J., Swart H., Versaci F., Sekaran L., Szavits-Nossan J., Vester E. G., Serrati C., Taggeselle J., Vial H., Shah N., Takagi Y., Victory J., Shah V., Takhar A. P. S., Villamil A., Shah A., Tamm A., Vincent M., Shah S., Tanaka K., Vlastaris A., Sharma V. K., Tanawuttiwat T., Dahl J., Shaw L., Tang S., Vora K., Sheikh K. H., Tang A., Vranian R. B., Shimizu N., Tarsi G., Wakefield P., Shimomura H., Tassinari T., Wang N., Shin D. -G., Tayal A., Wang M., Shin E. -S., Tayebjee M., Wang X., Shite J., Berg J. M., Wang F., Sibilio G., Tesloianu D., Wang T., Silver F., The S. H. K., Warner A. L., Sime I., Thomas D., Watanabe K., Simmers T. A., Timsit S., Wei J., Singh N., Tobaru T., Weimar C., Siostrzonek P., Tomasik A. R., Weiner S., Smadja D., Torosoff M., Weinrich R., Smith D. W., Touze E., Wen M. -S., Snitman M., Trendafilova E., Wiemer M., Filho D. S., Tsai W. K., Wiggers P., Soda H., Tse H. F., Wilke A., Sofley C., Tsutsui H., Williams D., Williams M. L., Yan P. Y. B., Zhang P., Witzenbichler B., Yang T., Zhang J., Wong B., Yao J., Zhao S. P., Wong K. S. L., Yeh K. -H., Zhao Y., Wozakowska-Kaplon B., Yin W. H., Zhao Z., Wu S., Yotov Y., Zheng Y., Wu R. C., Zahn R., Zhou J., Wunderlich S., Zarich S., Zimmermann S., Wyatt N., Zenin S., Zini A., Wylie J., Zeuthen E. L., Zizzo S., Xu Y., Zhang H., Zong W., Xu X., Zhang D., Zukerman L. S., Yamanoue H., Zhang X., Yamashita T., Cardiology, ACS - Heart failure & arrhythmias, Lip G.Y.H., Kotalczyk A., Teutsch C., Diener H.-C., Dubner S.J., Halperin J.L., Ma C.-S., Rothman K.J., Marler S., Gurusamy V.K., Huisman M.V., Abban D.W., Aziz E., Kalan M.B., Abdul N., Backes L.M., Bradman D., Abud A.M., Badings E., Brautigam D., Adams F., Bagni E., Breton N., Addala S., Baker S.H., Brouwers P.J.A.M., Adragao P., Bala R., Browne K., Ageno W., Baldi A., Cortada J.B., Aggarwal R., Bando S., Bruni A., Agosti S., Banerjee S., Brunschwig C., Agostoni P., Bank A., Buathier H., Aguilar F., Esquivias G.B., Buhl A., Linares J.A., Barr C., Bullinga J., Aguinaga L., Bartlett M., Cabrera J.W., Ahmed J., Basic Kes V., Caccavo A., Aiello A., Baula G., Cai S., Ainsworth P., Behrens S., Caine S., Aiub J.R., Bell A., Calo L., Al-Dallow R., Benedetti R., Calvi V., Alderson L., Mazuecos J.B., Sanchez M.C., Velasco J.A.A., Benhalima B., Candeias R., Alexopoulos D., Bergler-Klein J., Capuano V., Manterola F.A., Berneau J.-B., Capucci A., Aliyar P., Bernstein R.A., Caputo R., Alonso D., Berrospi P., Rizo T.C., da Costa F.A.A., Berti S., Cardona F., Amado J., Berz A., da Costa Darrieux F.C., Amara W., Best E., Vera Y.C.D., Amelot M., Bettencourt P., Carolei A., Amjadi N., Betzu R., Carreno S., Ammirati F., Bhagwat R., Carvalho P., Andrade M., Bhatta L., Cary S., Andrawis N., Biscione F., Casu G., Annoni G., Bisignani G., Cavallini C., Ansalone G., Black T., Cayla G., Ariani M.K., Bloch M.J., Celentano A., Arias J.C., Bloom S., Cha T.-J., Armero S., Blumberg E., Cha K.S., Arora C., Bo M., Chae J.K., Aslam M.S., Bohmer E., Chalamidas K., Asselman M., Bollmann A., Challappa K., Audouin P., Bongiorni M.G., Chand S.P., Augenbraun C., Boriani G., Chandrashekar H., Aydin S., Boswijk D.J., Chartier L., Bott J., Chatterjee K., Ayryanova I., Bottacchi E., Ayala C.A.C., Cheema A., Davis G., Evonich R., Davy J.-M., Evseeva O., Chen L., Dayer M., Ezhov A., Chen S.-A., De Biasio M., Fahmy R., Chen J.H., De Bonis S., Fang Q., Chiang F.-T., De Caterina R., Farsad R., Chiarella F., De Franceschi T., Fauchier L., Chih-Chan L., de Groot J.R., Favale S., Cho Y.K., De Horta J., Fayard M., Choi J.-I., De La Briolle A., Fedele J.L., Choi D.J., de la Pena Topete G., Fedele F., Chouinard G., de Paola A.A.V., Fedorishina O., Chow D.H.-F., de Souza W., Fera S.R., Chrysos D., de Veer A., Ferreira L.G.G., Chumakova G., De Wolf L., Ferreira J., Valenzuela E.J.J.R.C., Decoulx E., Ferri C., Nica N.C., Deepak S., Ferrier A., Cislowski D.J., Defaye P., Ferro H., Clay A., Munoz F.D.-C., Finsen A., Clifford P., Brkljacic D.D., First B., Cohen A., Deumite N.J., Fischer S., Cohen M., Di Legge S., Fonseca C., Cohen S., Diemberger I., Almeida L.F., Colivicchi F., Dietz D., Forman S., Collins R., Dionisio P., Frandsen B., Colonna P., Dong Q., French W., Compton S., dos Santos F.R., Friedman K., Connolly D., Dotcheva E., Friese A., Conti A., Doukky R., Fruntelata A.G., Buenostro G.C., D'Souza A., Fujii S., Coodley G., Dubrey S., Fumagalli S., Cooper M., Ducrocq X., Fundamenski M., Coronel J., Dupljakov D., Furukawa Y., Corso G., Duque M., Gabelmann M., Sales J.C., Dutta D., Gabra N., Cottin Y., Duvilla N., Gadsboll N., Covalesky J., Duygun A., Galinier M., Cracan A., Dziewas R., Gammelgaard A., Crea F., Eaton C.B., Ganeshkumar P., Crean P., Eaves W., Gans C., Crenshaw J., Ebels-Tuinbeek L.A., Quintana A.G., Cullen T., Ehrlich C., Gartenlaub O., Darius H., Eichinger-Hasenauer S., Gaspardone A., Dary P., Eisenberg S.J., Genz C., Dascotte O., Jabali A.E., Georger F., Dauber I., Shahawy M.E., Georges J.-L., Davalos V., Hernandes M.E., Georgeson S., Davies R., Izal A.E., Giedrimas E., Gierba M., Haruna T., Jarmukli N., Ortega I.G., Hayek E., Jeanfreau R.J., Gillespie E., Healey J., Jenkins R.D., Giniger A., Hearne S., Sanchez C.J., Giudici M.C., Heffernan M., Jimenez J., Gkotsis A., Heggelund G., Jobe R., Glotzer T.V., Heijmeriks J.A., Joen-Jakobsen T., Gmehling J., Hemels M., Jones N., Gniot J., Hendriks I., Jorge J.C.M., Goethals P., Henein S., Jouve B., Goldbarg S., Her S.-H., Jung B.C., Goldberg R., Hermany P., Jung K.T., Goldmann B., Del Rio J.E.H., Jung W., Golitsyn S., Higashino Y., Kachkovskiy M., Gomez S., Hill M., Kafkala K., Mesa J.G., Hisadome T., Kalinina L., Gonzalez V.B., Hishida E., Kallmunzer B., Hermosillo J.A.G., Hoffer E., Kamali F., Lopez V.M.G., Hoghton M., Kamo T., Gorka H., Hong K., Kampus P., Gornick C., Hong S., Kashou H., Gorog D., Horbach S., Kastrup A., Gottipaty V., Horiuchi M., Katsivas A., Goube P., Hou Y., Kaufman E., Goudevenos I., Hsing J., Kawai K., Graham B., Huang C.-H., Kawajiri K., Greer G.S., Huckins D., Kazmierski J.F., Gremmler U., Hughes K., Keeling P., Grena P.G., Huizinga A., Saraiva J.F.K., Grond M., Hulsman E.L., Ketova G., Gronda E., Hung K.-C., Khaira A.S., Gronefeld G., Hwang G.-S., Khripun A., Gu X., Ikpoh M., Kim D.-I., Torres I.G.T., Imberti D., Kim Y.H., Guardigli G., Ince H., Kim N.H., Guevara C., Indolfi C., Kim D.K., Guignier A., Inoue S., Kim J.S., Gulizia M., Irles D., Gumbley M., Iseki H., Kim K.S., Gunther A., Israel C.N., Kim J., Ha A., Iteld B., Kinova E., Hahalis G., Iyer V., Klein A., Hakas J., Jackson-Voyzey E., Kmetzo J.J., Hall C., Jaffrani N., Kneller G.L., Han B., Jager F., Knezevic A., Han S., James M., Koh S.M.A., Hargrove J., Jang S.-W., Koide S., Hargroves D., Jaramillo N., Kollias A., Kooistra J.A., Li W., McClure J., Koons J., Li X., McCormack T., Koschutnik M., Lichy C., McGarity W., Kostis W.J., Lieber I., McIntyre H., Kovacic D., Rodriguez R.H.L., McLaurin B., Kowalczyk J., Lin H., Alvaro F., Palomino M., Koziolova N., Melandri F., Kraft P., Liu F., Meno H., Kragten J.A., Liu H., Menzies D., Krantz M., Esperon G.L., Mercader M., Krause L., Navarro N.L., Meyer C., Krenning B.J., Lo E., Meyer B.J., Krikke F., Lokshyn S., Miarka J., Kromhout Z., Lopez A., Mibach F., Krysiak W., Lopez-Sendon J.L., Michalski D., Kumar P., Filho A.M.L., Michel P., Kumler T., Lorraine R.S., Chreih R.M., Kuniss M., Luengas C.A., Luengas A., Mikdadi G., Kuo J.-Y., Luke R., Mikus M., Kuppers A., Luo M., Milicic D., Kurrelmeyer K., Lupovitch S., Militaru C., Kwak C.H., Lyrer P., Minaie S., Laboulle B., Ma C., Minescu B., Labovitz A., Ma G., Mintale I., Ter Lai W., Madariaga I., Mirault T., Lam A., Maeno K., Mirro M.J., Lam Y.Y., Magnin D., Mistry D., Lanas Zanetti F., Maid G., Miu N.V., Landau C., Mainigi S.K., Miyamoto N., Landini G., Makaritsis K., Moccetti T., Lanna Figueiredo E., Malhotra R., Mohammed A., Larsen T., Manning R., Nor A.M., Lavandier K., Manolis A., Mollerus M., LeBlanc J., Hurtado H.A.M., Molon G., Lee M.H., Mantas I., Mondillo S., Lee C.-H., Jattin F.M., Moniz P., Lehman J., Maqueda V., Mont L., Leitao A., Marchionni N., Montagud V., Lellouche N., Ortuno F.M., Montana O., Lelonek M., Santana A.M., Monti C., Lenarczyk R., Martinez J., Moretti L., Lenderink T., Maskova P., Mori K., Gonzalez S.L., Hernandez N.M., Moriarty A., Leong-Sit P., Matsuda K., Morka J., Leschke M., Maurer T., Moschini L., Ley N., Mauro C., Moschos N., Li Z., May E., Mugge A., Mayer N., Mulhearn T.J., Muresan C., Jose E.P., Precoma D.B., Muriago M., Padilla F.G.P., Prelle A., Musial W., Rios V.P., Prodafikas J., Musser C.W., Pajes G., Protasov K., Musumeci F., Pandey A.S., Pye M., Nageh T., Paparella G., Qiu Z., Nakagawa H., Paris F., Quedillac J.-M., Nakamura Y., Park H.W., Raev D., Nakayama T., Park J.S., Grado C.A.R., Nam G.-B., Parthenakis F., Rahimi S., Nanna M., Passamonti E., Raisaro A., Natarajan I., Patel R.J., Rama B., Nayak H.M., Patel J., Ramos R., Naydenov S., Patel M., Ranieri M., Nazlic J., Patrick J., Raposo N., Nechita A.C., Jimenez R.P., Rashba E., Nechvatal L., Paz A., Rauch-Kroehnert U., Negron S.A., Pengo V., Reddy R., Neiman J., Pentz W., Renda G., Neuenschwander F.C., Perez B., Reza S., Neves D., Rios A.M.P., Ria L., Neykova A., Perez-Cabezas A., Richter D., Miguel R.N., Perlman R., Rickli H., Nijmeh G., Persic V., Rieker W., Nizov A., Perticone F., Vera T.R., Campos R.N., Peters T.K., Ritt L.E., Nossan J., Petkar S., Roberts D., Novikova T., Pezo L.F., Briones I.R., Nowalany-Kozielska E., Pflucke C., Escudero A.E.R., Nsah E., Pham D.N., Pascual C.R., Fragoso J.C.N., Phillips R.T., Roman M., Nurgalieva S., Phlaum S., Romeo F., Nuyens D., Pieters D., Ronner E., Nyvad O., Pineau J., Roux J.-F., de Los Rios Ibarra M.O., Pinter A., Rozkova N., O'Donnell P., Pinto F., Rubacek M., O'Donnell M., Pisters R., Rubalcava F., Oh S., Pivac N., Russo A.M., Oh Y.S., Pocanic D., Rutgers M.P., Oh D., Podoleanu C., Rybak K., O'Hara G., Politano A., Said S., Oikonomou K., Poljakovic Z., Sakamoto T., Olivares C., Pollock S., Salacata A., Oliver R., Garcea J.P., Salem A., Ruiz R.O., Poppert H., Bodes R.S., Olympios C., Porcu M., Saltzman M.A., Omaszuk-Kazberuk A., Reino A.P., Salvioni A., Asensi J.O., Prasad N., Vallejo G.S., Fernandez M.S., Sokal A., Tu T.M., Saporito W.F., Yan Y.S.O., Tuininga Y., Sarikonda K., Sotolongo R., Turakhia M., Sasaoka T., de Souza O.F., Turk S., Sati H., Sparby J.A., Turner W., Savelieva I., Spinar J., Tveit A., Scala P.-J., Sprigings D., Tytus R., Schellinger P., Spyropoulos A.C., Valadao C., Scherr C., Stakos D., van Bergen P.F.M.M., Schmitz L., Steinwender C., van de Borne P., Schmitz K.-H., Stergiou G., van den Berg B.J., Schmitz B., Stiell I., van der Zwaan C., Schnabel T., Stoddard M., Van Eck M., Schnupp S., Stoikov A., Vanacker P., Schoeniger P., Streb W., Vasilev D., Schon N., Styliadis I., Vasilikos V., Schwimmbeck P., Su G., Vasilyev M., Seamark C., Su X., Veerareddy S., Searles G., Sudnik W., Mino M.V., Seidl K.-H., Sukles K., Venkataraman A., Seidman B., Sun X., Verdecchia P., Sek J., Swart H., Versaci F., Sekaran L., Szavits-Nossan J., Vester E.G., Serrati C., Taggeselle J., Vial H., Shah N., Takagi Y., Victory J., Shah V., Takhar A.P.S., Villamil A., Shah A., Tamm A., Vincent M., Shah S., Tanaka K., Vlastaris A., Sharma V.K., Tanawuttiwat T., Dahl J., Shaw L., Tang S., Vora K., Sheikh K.H., Tang A., Vranian R.B., Shimizu N., Tarsi G., Wakefield P., Shimomura H., Tassinari T., Wang N., Shin D.-G., Tayal A., Wang M., Shin E.-S., Tayebjee M., Wang X., Shite J., Berg J.M., Wang F., Sibilio G., Tesloianu D., Wang T., Silver F., The S.H.K., Warner A.L., Sime I., Thomas D., Watanabe K., Simmers T.A., Timsit S., Wei J., Singh N., Tobaru T., Weimar C., Siostrzonek P., Tomasik A.R., Weiner S., Smadja D., Torosoff M., Weinrich R., Smith D.W., Touze E., Wen M.-S., Snitman M., Trendafilova E., Wiemer M., Filho D.S., Tsai W.K., Wiggers P., Soda H., Tse H.F., Wilke A., Sofley C., Tsutsui H., Williams D., Williams M.L., Yan P.Y.B., Zhang P., Witzenbichler B., Yang T., Zhang J., Wong B., Yao J., Zhao S.P., Wong K.S.L., Yeh K.-H., Zhao Y., Wozakowska-Kaplon B., Yin W.H., Zhao Z., Wu S., Yotov Y., Zheng Y., Wu R.C., Zahn R., Zhou J., Wunderlich S., Zarich S., Zimmermann S., Wyatt N., Zenin S., Zini A., Wylie J., Zeuthen E.L., Zizzo S., Xu Y., Zhang H., Zong W., Xu X., Zhang D., Zukerman L.S., Yamanoue H., Zhang X., and Yamashita T.
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Apixaban ,Atrial fibrillation ,Dabigatran ,Non-vitamin K antagonists ,Rivaroxaban ,Pyridones ,Medizin ,Myocardial Infarction ,Administration, Oral ,Anticoagulants ,Hemorrhage ,General Medicine ,Non-vitamin K antagonist ,Stroke ,Clinical Trials, Phase III as Topic ,Humans ,Prospective Studies ,Registries ,Cardiology and Cardiovascular Medicine - Abstract
Background and purpose Prospectively collected data comparing the safety and effectiveness of individual non-vitamin K antagonists (NOACs) are lacking. Our objective was to directly compare the effectiveness and safety of NOACs in patients with newly diagnosed atrial fibrillation (AF). Methods In GLORIA-AF, a large, prospective, global registry program, consecutive patients with newly diagnosed AF were followed for 3 years. The comparative analyses for (1) dabigatran vs rivaroxaban or apixaban and (2) rivaroxaban vs apixaban were performed on propensity score (PS)-matched patient sets. Proportional hazards regression was used to estimate hazard ratios (HRs) for outcomes of interest. Results The GLORIA-AF Phase III registry enrolled 21,300 patients between January 2014 and December 2016. Of these, 3839 were prescribed dabigatran, 4015 rivaroxaban and 4505 apixaban, with median ages of 71.0, 71.0, and 73.0 years, respectively. In the PS-matched set, the adjusted HRs and 95% confidence intervals (CIs) for dabigatran vs rivaroxaban were, for stroke: 1.27 (0.79–2.03), major bleeding 0.59 (0.40–0.88), myocardial infarction 0.68 (0.40–1.16), and all-cause death 0.86 (0.67–1.10). For the comparison of dabigatran vs apixaban, in the PS-matched set, the adjusted HRs were, for stroke 1.16 (0.76–1.78), myocardial infarction 0.84 (0.48–1.46), major bleeding 0.98 (0.63–1.52) and all-cause death 1.01 (0.79–1.29). For the comparison of rivaroxaban vs apixaban, in the PS-matched set, the adjusted HRs were, for stroke 0.78 (0.52–1.19), myocardial infarction 0.96 (0.63–1.45), major bleeding 1.54 (1.14–2.08), and all-cause death 0.97 (0.80–1.19). Conclusions Patients treated with dabigatran had a 41% lower risk of major bleeding compared with rivaroxaban, but similar risks of stroke, MI, and death. Relative to apixaban, patients treated with dabigatran had similar risks of stroke, major bleeding, MI, and death. Rivaroxaban relative to apixaban had increased risk for major bleeding, but similar risks for stroke, MI, and death. Registration URL: https://www.clinicaltrials.gov. Unique identifiers: NCT01468701, NCT01671007. Date of registration: September 2013. Graphical abstract
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- 2022
74. Microwave-assisted pyrolysis technology for bioenergy recovery: Mechanism, performance, and prospect
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Su, G, Ong, HC, Cheah, MY, Chen, WH, Lam, SS, and Huang, Y
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Energy ,0306 Physical Chemistry (incl. Structural), 0904 Chemical Engineering, 0913 Mechanical Engineering - Abstract
The emergence of bioenergy provides a solution to the environment and energy crises caused by the indiscriminate use of fossil fuels. Pyrolysis technology has broad application prospects in bioenergy production and waste disposal, providing a solid guarantee for the sustainable development of human beings and the environment. As an endothermic process, pyrolysis relies on external heat as an energy source. The introduction of microwave provides a different energy source for the pyrolysis process and exhibits a different pyrolysis performance due to its unique energy transfer mechanism. Conventional pyrolysis is conducive to the formation of bio-oil, whereas microwave-assisted pyrolysis can improve the composition of bio-oil and the surface properties of biochar. This article focuses on the advantages and limitations of microwave-assisted and conventional pyrolysis modes. Special attention is given to the differences in product distribution and properties and the economic feasibility of the two pyrolysis modes.
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- 2022
75. Preliminary conceptual design and analysis of a100 kW elevel Nuclear Silent Thermal‐Electrical Reactor ( NUSTER ‐100)
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Huang, Jinlu, primary, Wang, Chenglong, additional, Tian, Zhixing, additional, Guo, Kailun, additional, Su, G. H., additional, Tian, Wenxi, additional, Zheng, Youqi, additional, and Qiu, Suizheng, additional
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- 2022
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76. Comparison of genomic predictions using genomic relationship matrices built with different weighting factors to account for locus-specific variances
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Su, G., Christensen, O.F., Janss, L., and Lund, M.S.
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- 2014
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77. PB2356: EFFECTS OF TARGETED NURSING INTERVENTIONS ON CANCER-INDUCED FATIGUE AND MENTAL HEALTH IN CHEMOTHERAPY PATIENTS WITH LEUKEMIA
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Xiao, S., primary, Su, G., additional, and Lan, D., additional
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- 2022
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78. P909: RENAL RESPONSE OF POMALIDOMIDE WITH BORTEZOMIB AND DEXAMETHASONE IN NEWLY DIAGNOSED MULTIPLE MYELOMA PATIENTS WITH RENAL IMPAIRMENT
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Jian, Y., primary, Chang, L., additional, Shi, M., additional, Sun, Y., additional, Chu, X., additional, Xue, H., additional, Shen, X., additional, Ma, J., additional, Jia, G., additional, Feng, Y., additional, Xi, Z., additional, Zhao, Y., additional, Ma, Y., additional, Xiao, J., additional, Ma, G., additional, Wang, Q., additional, Huang, W., additional, Bao, L., additional, Dong, Y., additional, Zhou, H., additional, Sun, C., additional, Su, G., additional, Yan, Y., additional, Saiyin, Q., additional, Su, L., additional, Gao, S., additional, Tian, W., additional, Sun, X., additional, Jing, H., additional, Gao, D., additional, Chen, W., additional, Li, J., additional, and Gao, W., additional
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- 2022
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79. Judges' Use of Examinee Performance Data in an Angoff Standard-Setting Exercise for a Medical Licensing Examination: An Experimental Study
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Clauser, Brian E., Mee, Janet, and Baldwin, Su G.
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Although the Angoff procedure is among the most widely used standard setting procedures for tests comprising multiple-choice items, research has shown that subject matter experts have considerable difficulty accurately making the required judgments in the absence of examinee performance data. Some authors have viewed the need to provide performance data as a fatal flaw for the procedure; others have considered it appropriate for experts to integrate performance data into their judgments but have been concerned that experts may rely too heavily on the data. There have, however, been relatively few studies examining how experts use the data. This article reports on two studies that examine how experts modify their judgments after reviewing data. In both studies, data for some items were accurate and data for other items had been manipulated. Judges in both studies substantially modified their judgments whether the data were accurate or not.
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- 2009
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80. A MEMS Non-interferometric Differential Confocal Scanning Optical Microscope
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Piyawattanametha, W., Patterson, P. R., Su, G. D. J., Toshiyoshi, H., Wu, M. C., and Obermeier, Ernst, editor
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- 2001
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81. Valorization of animal manure via pyrolysis for bioenergy: A review
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Su, G, Ong, HC, Mohd Zulkifli, NW, Ibrahim, S, Chen, WH, Chong, CT, and Ok, YS
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0907 Environmental Engineering, 0910 Manufacturing Engineering, 0915 Interdisciplinary Engineering ,Environmental Sciences - Abstract
The continuous development of the economy and the constant improvement of living standards have stimulated the development of animal husbandry. This development has been accompanied by the massive production of animal manure with various bad odors and high heavy metal content, constituting severe damage to ecological security and human health. Traditional disposal methods, including composting and anaerobic digestion, are difficult to achieve satisfactory results due to long processing time, water and soil eutrophication, and toxic gas emissions. However, converting animal manure into bioenergy through pyrolysis is a clean, safe, and promising technique to reduce the amount of waste and produce valuable products. Co-pyrolysis with other materials can decrease the content of heavy metals in biochar and ameliorate the properties of products. The application of catalysts influences the pyrolysis process and product properties positively. The objective of this review is to analyze the properties of animal manure and discuss the recovery of biofuel from harmful animal manure by pyrolysis. A comprehensive analysis of animal manure pyrolysis and related product characteristics will provide a foundation for the sustainable management and scientific disposal of hazardous manure waste.
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- 2022
82. Species invasiveness and community invasibility of US freshwater fish fauna revealed via trait-based analysis
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Su, G., Mertel, A., Brosse, S., (0000-0003-0575-6408) Calabrese, J., Su, G., Mertel, A., Brosse, S., and (0000-0003-0575-6408) Calabrese, J.
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While biological invasions are recognized as a major threat to global biodiversity, determining species’ abilities to invade new areas (species invasiveness) and the vulnerability of those areas to invasions (community invasibility) are still poorly understood. Here, we used trait-based analysis to profile invasive species and quantify the community invasibility for >1,800 North American freshwater fish communities. We show that species with higher reproduction rates, longer life spans and larger sizes tend to be more invasive. Community invasibility peaked when the functional distance among native species was high, leaving unoccupied functional space for the establishment of potential invaders. Invasion success is therefore governed by both the functional traits of non-native species determining their invasiveness, and by the functional characteristics of the invaded community determining its invasibility. Considering those two determinants together will allow better predictions of invasions.
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- 2022
83. Multiple groups of methanotrophic bacteria mediate methane oxidation in anoxic lake sediments
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Su, G., Zopfi, J., Niemann, H., Lehmann, M.F., Su, G., Zopfi, J., Niemann, H., and Lehmann, M.F.
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Freshwater lakes represent an important source of the potent greenhouse gas methane (CH4) to the atmosphere. Methane emissions are regulated to large parts by aerobic (MOx) and anaerobic (AOM) oxidation of methane, which are important CH4 sinks in lakes. In contrast to marine benthic environments, our knowledge about the modes of AOM and the related methanotrophic microorganisms in anoxic lake sediments is still rudimentary. Here, we demonstrate the occurrence of AOM in the anoxic sediments of Lake Sempach (Switzerland), with maximum in situ AOM rates observed within the surface sediment layers in presence of multiple groups of methanotrophic bacteria and various oxidants known to supportAOM. However, substrate-amended incubations (with NO2 −, NO3−, SO42−, Fe-, and Mn-oxides) revealed that none of the electron acceptors previously reported to support AOM enhanced methane turnover in Lake Sempach sediments under anoxic conditions. In contrast, the addition of oxygen to the anoxic sediments resulted in an approximately 10-fold increase in methane oxidation relative to the anoxic incubations. Phylogenetic and isotopic evidence indicate that both Type I and Type II aerobic methanotrophs were growing on methane under both oxic and anoxic conditions, although methane assimilation rates were an order of magnitude higher under oxic conditions. While the anaerobic electron acceptor responsible for AOM could not be identified, these findings expand our understanding of the metabolic versatility of canonically aerobic methanotrophs under anoxic conditions, with important implications for future investigations to identify methane oxidation processes. Bacterial AOM by facultative aerobic methane oxidizers might be of much larger environmental significance in reducing methane emissions than previously thought.
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- 2022
84. Pyrolysis of oil palm wastes for bioenergy in Malaysia: A review
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Su, G, Mohd Zulkifli, NW, Ong, HC, Ibrahim, S, Bu, Q, Zhu, R, Su, G, Mohd Zulkifli, NW, Ong, HC, Ibrahim, S, Bu, Q, and Zhu, R
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Oil palm wastes (OPWs) are important biomass resources, and approximately 127 million tons of OPWs are generated from the oil palm industry annually in Malaysia. The scientific and reasonable utilization of OPWs is essential to economic and environmental sustainability in the country. Pyrolysis is a mature and revolutionary technology that can convert OPWs into biofuel. The conversion of OPWs into biofuel is in accordance with the national conditions of Malaysia and can simultaneously address the problems of fossil fuel shortage and environmental deterioration. Therefore, Malaysia is the most active country in the research of OPWs pyrolysis and has achieved fruitful results. Bio-oil produced from the catalytic co-pyrolysis of OPWs with hydrogen-rich materials exhibits remarkable fuel properties. Biochar generated from OPWs pyrolysis presents huge application potential as an absorbent, catalyst, soil conditioner, and carbon sequestration agent. Consequently, the paper provides a comprehensive review of OPWs pyrolysis and lays the foundation for the exploitation of OPWs resources.
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- 2022
85. Modeling fish species diversity in river networks
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(0000-0001-5349-6271) Tripathi, R., (0000-0002-3634-1857) Mertel, A., Su, G., (0000-0003-1761-2591) Kelling, J., Calabrese, J., (0000-0001-5349-6271) Tripathi, R., (0000-0002-3634-1857) Mertel, A., Su, G., (0000-0003-1761-2591) Kelling, J., and Calabrese, J.
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River basins across the world are shaped by local land topography and generally have a dendritic structure formed by convergence of river streams originating in a watershed until they end up in the main river. These river basins are also home to a plethora of aquatic lifeforms. Movement patterns of riverine biodiversity, especially fishes, are shaped by dendritic structure of river networks (see Figure 1) and habitat capacity of river basins. The ongoing river networks project at CASUS is specifically aimed at developing models to study the effects of dendritic network topology on fish biodiversity and thereby be able to predict biodiversity patterns across various river basins. Starting with an initial distribution of fish species on the river network, we explore how the biodiversity patterns, such as local species richness (LSR), in dendritic river networks evolve with time, under the assumption of species being equivalent on a per capita basis. Such neutral biodiversity models have been able to successfully explain a suite of biodiversity indices of plant and animal species across various ecological systems. In summary, the river project aims to bring together the neutral biodiversity theory and the framework of dispersal over networks to make predictions on biodiversity in riverine systems across the world. This would enable understanding the factors shaping present biodiversity and allow us to explore how climate change might affect future riverine biodiversity.
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- 2022
86. Contemporary environment and historical legacy explain functional diversity of freshwater fishes in the world rivers
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(0000-0003-0091-9773) Su, G., Tedesco, P. A., Toussaint, A., Villéger, S., Brosse, S., (0000-0003-0091-9773) Su, G., Tedesco, P. A., Toussaint, A., Villéger, S., and Brosse, S.
- Abstract
Aim Regional taxonomic diversity (species richness) is strongly influenced by a joint effect of the current processes (habitat and energy availability) and historical legacies (past climate and geography), but it is still unclear how those historical and current environmental drivers have shaped the functional diversity of species assemblages. Major taxa studied Freshwater fish. Location Global. Time period 1960s–2000s. Methods We combined the spatial occurrences over 2,400 river basins world-wide and the functional traits measured on 10,682 freshwater fish species to quantify the relative role of the habitat, climate and historical processes on the current global fish functional diversity. To avoid any correlation between taxonomic diversity and functional diversity, we controlled for differences in the number of species (species richness) between rivers. Functional diversity was considered through three complementary facets: functional richness, functional dispersion and functional identity. Results The habitat-related variables explained most of the gradient in functional richness, verifying the habitat size–diversity hypothesis. In contrast, the historical climate–geography legacies markedly imprinted the functional dispersion and functional identity patterns, leading to a balanced influence of the current and historical processes. Indeed, the distribution of morphological traits related to fish dispersal was explained largely by the glaciation events during the Quaternary, leading to strong latitudinal gradients. Main conclusions This study provides new insights into the role of historical and current environmental determinants on the functional structure of fish assemblages and strengthens the proposal that the independence of facets of functional diversity from the species richness makes them essential biodiversity variables to understand the structure of communities and their responses to global changes.
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- 2022
87. Biogeographic Regionalization: Freshwater
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Dias, M. S., Oikonomou, A., (0000-0003-0091-9773) Su, G., Dias, M. S., Oikonomou, A., and (0000-0003-0091-9773) Su, G.
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Defining the number and geographical borders of regions containing similar organisms and high levels of endemism can shed light on the evolution and distribution of life on Earth. We provide an historical overview of studies delineating the global biogeographical regions of freshwater organisms, mainly focusing on fish, to understand whether aquatic and terrestrial organisms share similar distribution patterns. Then, we provide a geographical and biological description giving special attention to major biogeographical fish patterns and taxa present in each of the considered regions.
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- 2022
88. Data publication: Contemporary environment and historical legacy explain functional diversity of freshwater fishes in the world rivers
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(0000-0003-0091-9773) Su, G., Tedesco, P., Toussaint, A., Villeger, S., Brosse, S., (0000-0003-0091-9773) Su, G., Tedesco, P., Toussaint, A., Villeger, S., and Brosse, S.
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Script and data used for the analysis and figures plotting in paper "Contemporary environment and historical legacy explain functional diversity of freshwater fishes in the world rivers"
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- 2022
89. Co-pyrolysis of microalgae and other biomass wastes for the production of high-quality bio-oil: Progress and prospective.
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Su, G, Ong, HC, Gan, YY, Chen, W-H, Chong, CT, Ok, YS, Su, G, Ong, HC, Gan, YY, Chen, W-H, Chong, CT, and Ok, YS
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Microalgae are the most prospective raw materials for the production of biofuels, pyrolysis is an effective method to convert biomass into bioenergy. However, biofuels derived from the pyrolysis of microalgae exhibit poor fuel properties due to high content of moisture and protein. Co-pyrolysis is a simple and efficient method to produce high-quality bio-oil from two or more materials. Tires, plastics, and bamboo waste are the optimal co-feedstocks based on the improvement of yield and quality of bio-oil. Moreover, adding catalysts, especially CaO and Cu/HZSM-5, can enhance the quality of bio-oil by increasing aromatics content and decreasing oxygenated and nitrogenous compounds. Consequently, this paper provides a critical review of the production of bio-oil from co-pyrolysis of microalgae with other biomass wastes. Meanwhile, the underlying mechanism of synergistic effects and the catalytic effect on co-pyrolysis are discussed. Finally, the economic viability and prospects of microalgae co-pyrolysis are summarized.
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- 2022
90. Pyrolysis of waste oils for the production of biofuels: A critical review.
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Su, G, Ong, HC, Mofijur, M, Mahlia, TMI, Ok, YS, Su, G, Ong, HC, Mofijur, M, Mahlia, TMI, and Ok, YS
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The application of waste oils as pyrolysis feedstocks to produce high-grade biofuels is receiving extensive attention, which will diversify energy supplies and address environmental challenges caused by waste oils treatment and fossil fuel combustion. Waste oils are the optimal raw materials to produce biofuels due to their high hydrogen and volatile matter content. However, traditional disposal methods such as gasification, transesterification, hydrotreating, solvent extraction, and membrane technology are difficult to achieve satisfactory effects owing to shortcomings like enormous energy demand, long process time, high operational cost, and hazardous material pollution. The usage of clean and safe pyrolysis technology can break through the current predicament. The bio-oil produced by the conventional pyrolysis of waste oils has a high yield and HHV with great potential to replace fossil fuel, but contains a high acid value of about 120 mg KOH/g. Nevertheless, the application of CaO and NaOH can significantly decrease the acid value of bio-oil to close to zero. Additionally, the addition of coexisting bifunctional catalyst, SBA-15@MgO@Zn in particular, can simultaneously reduce the acid value and positively influence the yield and quality of bio-oil. Moreover, co-pyrolysis with plastic waste can effectively save energy and time, and improve bio-oil yield and quality. Consequently, this paper presents a critical and comprehensive review of the production of biofuels using conventional and advanced pyrolysis of waste oils.
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- 2022
91. State-of-the-art of the pyrolysis and co-pyrolysis of food waste: Progress and challenges.
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Su, G, Ong, HC, Fattah, IMR, Ok, YS, Jang, J-H, Wang, C-T, Su, G, Ong, HC, Fattah, IMR, Ok, YS, Jang, J-H, and Wang, C-T
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The continuous growth of population and the steady improvement of people's living standards have accelerated the generation of massive food waste. Untreated food waste has great potential to harm the environment and human health due to bad odor release, bacterial leaching, and virus transmission. However, the application of traditional disposal techniques like composting, landfilling, animal feeding, and anaerobic digestion are difficult to ease the environmental burdens because of problems such as large land occupation, virus transmission, hazardous gas emissions, and poor efficiency. Pyrolysis is a practical and promising route to reduce the environmental burden by converting food waste into bioenergy. This paper aims to analyze the characteristics of food waste, introduce the production of biofuels from conventional and advanced pyrolysis of food waste, and provide a basis for scientific disposal and sustainable management of food waste. The review shows that co-pyrolysis and catalytic pyrolysis significantly impact the pyrolysis process and product characteristics. The addition of tire waste promotes the synthesis of hydrocarbons and inhibits the formation of oxygenated compounds efficiently. The application of calcium oxide (CaO) exhibits good performance in the increment of bio-oil yield and hydrocarbon content. Based on this literature review, pyrolysis can be considered as the optimal technique for dealing with food waste and producing valuable products.
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- 2022
92. Laboratory investigation on the mechanical behaviour of Tournemire argillite
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Abdi, H., Labrie, D., Nguyen, T.S., Barnichon, J.D., Su, G., Evgin, E., Simon, R., and Fall, M.
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Dynamic testing -- Methods ,Argillite -- Mechanical properties -- Testing ,Earth sciences - Abstract
This paper presents the results of a laboratory testing program that was designed to investigate the mechanical behaviour of the Tournemire argillite. Eighty rock samples were obtained from boreholes drilled at different angles in the walls and floor of an existing gallery at the Tournemire Underground Research Laboratory (URL), France. The experimental program consists of the measurement of the physical properties of the argillite and its mechanical response to loading during uniaxial tests, triaxial tests with various confining pressures, unconfined and confined cyclic tests, and Brazilian tests. Since the Tournemire argillite is characterized by the presence of closely spaced bedding planes, the rock specimens were loaded in different directions to bedding planes (i.e., loading orientation angle, θ = 0°, 30°, 45°, 60°, and 90°). Acoustic emission data were also recorded to detect the initiation and propagation of micro-cracks during the uniaxial tests. Most of the tests were performed at the natural moisture content of the rock specimens as delivered to CANMET Laboratories in Ottawa, Canada, where the experiments were conducted. The main objective of the testing program is to identify the mechanical properties of the Tournemire argillite. This paper mainly focuses on the description and interpretation of the test results. The development of an elastoplastic-damage model to describe the mechanical behaviour of the Tournemire argillite is the subject of another paper. Key words: deep geological repository, Tournemire argillite, sedimentary rock mass, laboratory tests on sedimentary rock, underground excavation. Cet article presente les resultats d'un programme d'essais en laboratoire concu pour etudier le comportement mecanique de l'argilite de Tournemire. Quatre-vingt echantillons de roche ont ete obtenus a partir de trous de forages fores a differents angles dans les murs et plancher d'une galerie existante au Laboratoire de recherche souterrain de Tournemire en France. Le programme experimental consiste a mesurer les proprietes physiques de l'argilite et ses reponses mecaniques lors d'essais de chargement uniaxial, d'essais triaxiaux avec differentes pressions de confinement, d'essais cycliques non confines et confines, et d'essais bresiliens. Puisque l'argilite de Tournemire est caracterisee par la presence de plans de stratification rapproches, les echantillons rocheux ont ete charge selon differentes directions en relation aux plans de stratification (c'est-adire a des angles d'orientation de charge de 0 = 0°, 30°, 45°, 60° et 90°). Des donnees d'emission acoustique ont aussi ete enregistrees pour detecter l'initiation et la propagation de microfissures durant les essais uniaxiaux. La plupart des essais ont ete realises a la teneur en eau naturelle des echantillons rocheux tel qu'expedies aux laboratoires de CANMET a Ottawa, Canada, ou les essais ont eu lieu. L'objectif principal du programme d'essai est d'identifier les proprietes mecaniques de l'argilite de Tournemire. Cet article presente la description et l'interpretation des resultats experimentaux. Le developpement d'un modele de dommage elasto-plastique pour decrire le comportement mecanique de l'argilite de Tournemire est le sujet d'un autre article. [Traduit par la Redaction] Mots-cles: depot geologique profond, argilite de Tournemire, masse rocheuse sedimentaire, essais en laboratoire sur des roches sedimentaires, excavation souterraine., Introduction Disposal of radioactive wastes in deep geologic formations is considered internationally as a possible solution for the long-term management of radioactive wastes. Today, many research programs and (or) cooperative [...]
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- 2015
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93. Diverse dietary strategy of lake anchovy Coilia ectenes taihuensis in lakes with different trophic status
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Sha, Y. C., Su, G. H., Zhang, P. Y., Zhang, H., and Xu, J.
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- 2015
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94. Amplified in breast cancer 1 promotes colorectal cancer progression through enhancing notch signaling
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Mo, P, Zhou, Q, Guan, L, Wang, Y, Wang, W, Miao, M, Tong, Z, Li, M, Majaz, S, Liu, Y, Su, G, Xu, J, and Yu, C
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- 2015
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95. The effect of incorporating carbon nanotubes in titania films used for the photocathode protection of 304 stainless steel
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Liu, W., Wang, Y.G., Su, G., Cao, L.X., Sun, M.L., Guo, X.Q., Xu, H.M., and Duan, R.J.
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- 2012
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96. PIK3CA, KRAS und BRAF Mutationen in Intraduktalen Papillären Muzinösen Neoplasien/Karzinomen (IPMN/C) des Pankreas
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Schönleben, Frank, Qiu, W., Hohenberger, W., Su, G. H., Bruch, H. P., editor, Büchler, M. W., editor, Buhr, H. J., editor, Hohenberger, W., editor, Klar, E., editor, Post, S., editor, Schilling, M., editor, Schumpelick, V., editor, Siewert, J. R., editor, Thiede, A., editor, Becker, H., editor, Bittner, R., editor, Függer, R., editor, Köckerling, F., editor, Saeger, H. D., editor, Zornig, C., editor, Hölscher, A., editor, Izbicki, J. R., editor, Jauch, K. W., editor, Senninger, N., editor, Allgayer, H., editor, Bruns, C. J., editor, Celik, I., editor, Fries, H., editor, Kalthoff, H., editor, Schackert, H. K., editor, Brückner, U. B., editor, Ertel, W., editor, Faist, E., editor, Holzheimer, R. G., editor, Holzmann, B., editor, Schade, U. F., editor, Vollmar, B., editor, Heidecke, C. D., editor, Menger, M. D., editor, Neugebauer, E., editor, Spiegel, H. U., editor, Germann, G., editor, Haas, N., editor, Langer, S., editor, Machens, H. G., editor, Stark, G. B., editor, Steinau, H. U., editor, Haverich, A., editor, Heberer, M., editor, Fitze, G., editor, Roth, H., editor, von Schweinitz, D., editor, Waag, K. L., editor, Altendorf-Hofmann, A., editor, Lehnert, T., editor, Lorenz, W., editor, Ohmann, C., editor, Bechstein, W. O., editor, Broelsch, C., editor, Hopt, U., editor, Klempnauer, J., editor, Fändrich, F., editor, Markus, B., editor, Minor, T., editor, Neuhaus, P., editor, Wonigeit, K., editor, Dralle, H., editor, Goretzki, P. E., editor, Rothmund, M., editor, Bühren, V., editor, Josten, C., editor, Muhr, G., editor, Nast-Kolb, D., editor, Stürmer, K. M., editor, Trentz, O., editor, Brunkwall, J., editor, Sandmann, W., editor, Schmitz-Rixen, T., editor, Storck, M., editor, Branscheid, D., editor, Dienemann, H., editor, Hirner, A., editor, Passlick, B., editor, Toomes, H., editor, Beyersdorf, F., editor, Hetzer, R., editor, Schäfers, H. J., editor, Steinsträßer, L., editor, Vogt, P., editor, Arbogast, R., editor, and Bauer, H., editor
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- 2008
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97. Iodine Maps from Dual-Energy CT to Predict Extrathyroidal Extension and Recurrence in Papillary Thyroid Cancer Based on a Radiomics Approach
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Xu, X.-Q., primary, Zhou, Y., additional, Su, G.-Y., additional, Tao, X.-W., additional, Ge, Y.-Q., additional, Si, Y., additional, Shen, M.-P., additional, and Wu, F.-Y., additional
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- 2022
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98. Modeling fish species diversity in river networks
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Tripathi, R., Mertel, A., Su, G., Kelling, J., and Calabrese, J.
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River basins across the world are shaped by local land topography and generally have a dendritic structure formed by convergence of river streams originating in a watershed until they end up in the main river. These river basins are also home to a plethora of aquatic lifeforms. Movement patterns of riverine biodiversity, especially fishes, are shaped by dendritic structure of river networks (see Figure 1) and habitat capacity of river basins. The ongoing river networks project at CASUS is specifically aimed at developing models to study the effects of dendritic network topology on fish biodiversity and thereby be able to predict biodiversity patterns across various river basins. Starting with an initial distribution of fish species on the river network, we explore how the biodiversity patterns, such as local species richness (LSR), in dendritic river networks evolve with time, under the assumption of species being equivalent on a per capita basis. Such neutral biodiversity models have been able to successfully explain a suite of biodiversity indices of plant and animal species across various ecological systems. In summary, the river project aims to bring together the neutral biodiversity theory and the framework of dispersal over networks to make predictions on biodiversity in riverine systems across the world. This would enable understanding the factors shaping present biodiversity and allow us to explore how climate change might affect future riverine biodiversity.
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- 2022
99. Data publication: Contemporary environment and historical legacy explain functional diversity of freshwater fishes in the world rivers
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Su, G., Tedesco, P., Toussaint, A., Villeger, S., and Brosse, S.
- Abstract
Script and data used for the analysis and figures plotting in paper "Contemporary environment and historical legacy explain functional diversity of freshwater fishes in the world rivers"
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- 2022
100. NRAS Contributes to Retinoblastoma Progression Through SNHG16/miR-183-5p/NRAS Regulatory Network
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Sun G, Su G, Liu F, and Han W
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mir-183-5p ,nras ,progression ,snhg16 ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,lcsh:RC254-282 ,retinoblastoma - Abstract
Guangli Sun,1 Gang Su,2 Fang Liu,1 Wenjie Han1 1Department of Ophthalmology, The First Affiliated Hospital of Zhengzhou University, Henan, People’s Republic of China; 2Department of Cardiovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Henan, People’s Republic of ChinaCorrespondence: Gang SuDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Erqi District, Zhengzhou, Henan 450000, People’s Republic of ChinaTel/Fax +86-371-66913114Email gangsu163@163.comPurpose: The oncogene of wild type neuroblastoma RAS viral oncogene homolog (NRAS) has been found to involve in the tumorigenesis of cancers. However, the role of NRAS in retinoblastoma (RB) progression remains largely unknown.Methods: The expression levels of NRAS, miR-183-5p and small nucleolar RNA host gene 16 (SNHG16) were measured using quantitative real-time polymerase chain reaction assay or Western blot assay, respectively. Cell proliferation and apoptosis were analyzed with 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay or flow cytometry, respectively. Transwell assay was used to determine cell migration and invasion abilities. The interaction between miR-183-5p and NRAS or SNHG16 was analyzed using bioinformatics analysis and dual-luciferase reporter assay.Results: NRAS was elevated in RB tissues and cell lines, knockdown of NRAS could inhibit proliferation, migration and invasion but induced apoptosis in vitro and suppressed tumor growth in vivo. NRAS was confirmed to be a target of miR-183-5p and was negatively regulated by miR-183-5p in RB cells. Moreover, overexpressed NRAS reversed miR-183-5p mediated inhibition on RB cell progression. Besides that, SNHG16 directly interacted with miR-183-5p and reduced miR-183-5p expression in RB cells. The suppression of RB cell progression induced by SNHG16 silencing could be partially attenuated by the inhibition of miR-183-5p. Besides that, SNHG16 could regulate NRAS expression through competitively binding to miR-183-5p in RB cells.Conclusion: NRAS functioned as an oncogene to contribute to RB progression by SNHG16/miR-183-5p/NRAS regulatory network, indicating a novel and promising therapeutic target for RB.Keywords: SNHG16, miR-183-5p, NRAS, retinoblastoma, progression  
- Published
- 2019
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