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27 results on '"Chen, G.P."'

3. Routine Physics Work Efficacy and Efficiency Improvement with Duty Shared Among Daily Physicist Group for a Multi Hospital Radiation Oncology Network.

Author

Chen, G.P., Prah, D.E., and Paulson, E.S.

Subjects
*QUALITY control, *COLOR codes, *WORK sharing, *WORK structure, *INDIVIDUALIZED medicine
Abstract

Recently we changed our physics coverage model from individual physicists working at separate clinics to an approach in which routine physics work is shared among a team of physicists of the day (PODs) in a multi-hospital radiation oncology network. The purpose of this work was 1) to develop a software dashboard to display patient treatment status, and routine physics work list in a centralized task board for the POD team, and 2) to evaluate the efficacy and efficiency of the routine physics work structure change. Physics work performed in a Radiation Oncology network with a main campus (3 Linacs from a precision radiation medicine company, 1 treatment delivery system from a technology company, 1 MR Linac from a precision radiation medicine company) and 3 satellites (1 Elekta linac each) utilizing one record and verify (R&V) system was evaluated. 2 PODs are assigned to the main campus and 1 at each satellite. Data stored in the R&V system was retrieved via structured language query within a program developed using C++. Daily patient appointments on all treatment machines were displayed alternatively to show 1) the number of patients scheduled, finished, cancelled, on hold, or did not show, on a bar chart, and 2) appointment completion status in chronological axis on a Gantt chart. The completed number of fractions and WCC status for each patient is assessed. Patients due for WCC are displayed in color coded list to show check readiness, along with daily treatment location and status, fractions remaining until next WCC, who and when the last WCC was performed, and when the last WCC charge was dropped. Quality check list (QCL) tasks placed into the R&V system by dosimetrists and therapists for routine physics work, including on-screen and plan transfer check, chart closes, treatment reviews, etc, are listed together in a queue with the activity, location and claimer with color code indicating urgency of the due date/time. POD team members pick a task based on individual availability, task urgency, the physicist who performed the last patient WCC, treatment machine schedule, etc. The list is updated in a preset interval of 5 minutes to refresh the status. The WCC completion rate, defined as the ratio of the total number of eligible WCCs performed in all 5-fraction cycles of each course and the total number of required WCCs, as well as the average completion time of all QCL items, and the ratio of average daily completed number of QCL items per POD team member at the main campus and that at the satellites (Rm2s), were compared before and after the routine physics work structure change. After the routine physics work structure change, the WCC completion rate increased from 96.8% to 99.8%. The average physics on-screen and chart check completion times reduced from 346.2 minutes to 100.5 minutes. The value of Rm2s dropped from 3.36 to 1.83. A software dashboard has been developed and used for routine physics work shared among PODs in a multi-hospital network, resulting in increased physics WCC completion rate, balanced workload among POD team members and increased physics plan check efficiency. [ABSTRACT FROM AUTHOR]

Published
2024
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4. Artificial neural network power system stabilizers in multi-machine power system environment

Author

Zhang, Y., Malik, O.P., and Chen, G.P.

Subjects
Electric power system stability -- Research, Neural networks -- Usage, Interconnected electric utility systems -- Research, Business, Electronics, Electronics and electrical industries
Abstract

Effectiveness of an artificial neural network (ANN), functioning as a power system stabilizer (PSS), in damping multi-mode oscillations in a five-machine power system environment is investigated in this paper. Accelerating power of the generating unit is used as the input to the ANN PSS. The proposed ANN PSS using a multi-layer neural network with error-backpropagation training method was trained over the full working range of the generating unit with a large variety of disturbances. The ANN was trained to memorize the reverse input/output mapping of the synchronous machine. Results show that the proposed ANN PSS can provide good damping for both local and inter-area modes of oscillations. Keywords - Power System Stabilizer, Artificial Neural Network, Inverse Plant, Multi-layer Network, Error Backpropagation, Multi-machine, Multi-mode Oscillation.

Published
1995

5. Application of an inverse input/output mapped ANN as a power system stabilizer

Author

Zhang, Y., Malik, O.P., Hope, G.S., and Chen, G.P.

Subjects
Neural networks -- Usage, Electric power system stability -- Research, Business, Electronics, Electronics and electrical industries
Abstract

An artificial neural network (ANN), trained as an inverse of the controlled plant, to function as a power system stabilizer (PSS) is presented in this paper. In order to make the proposed ANN PSS work properly, it was trained over the full working range of the generating unit with a large variety of disturbances. Data used to train the ANN PSS consisted of the control input and the synchronous machine response with an adaptive PSS (APSS) controlling the generator. During training, the ANN was required to memorize the reverse input/output mapping of the synchronous machine. After the training, the output of the synchronous machine was applied as the input of the ANN PSS and the output of the ANN PSS was used as the control signal. Simulation results show that the proposed ANN PSS can provide good damping of the power system over a wide operating range and significantly improve the system performance. KEYWORDS: Power System Stabilizer, Artificial Neural Network, Inverse Plant

Published
1994

6. An adaptive power system stabilizer based on the self-optimizing pole shifting control strategy

Author

Chen, G.P., Malik, O.P., Hope, G.S., Qin, Y.H., and Xu, G.Y.

Subjects
Electric power system stability -- Research, Surge suppressors -- Usage, Adaptive control -- Research, Business, Electronics, Electronics and electrical industries
Abstract

An adaptive power system stabilizer (APSS) employing a new self-optimizing pole shifting control strategy and its application to a power system are described in this paper. Based on an identified model of the system, the control is computed by an algorithm which shifts the closed-loop poles of the system to some optimal locations inside the unit circle in the z-domain to minimize a given performance criterion. With the self-optimization property, outside intervention in the controller design procedure is minimized, thus simplifying the tuning procedure during commissioning. Also, a new method of calculating the variable forgetting factor in real-time parameter identification is discussed. Studies show that the proposed APSS can provide good damping of the power system over a wide operating range and significantly improve the dynamic performance of the system.

Published
1993

7. An artificial neural network based adaptive power system stabilizer

Author

Zhang, Y., Chen, G.P., Malik, O.P., and Hope, G.S.

Subjects
Neural networks -- Research, Adaptive control -- Research, Business, Electronics, Electronics and electrical industries
Abstract

An artificial neural network (ANN) based power system stabilizer (PSS) and its application to power system are presented in this paper. The ANN based PSS combines the advantages of self-optimizing pole shifting adaptive control strategy and the quick response of ANN to introduce a new generation PSS. A popular type of ANN, the multi-layer perceptron with error back-propagation training method, is employed in this PSS. The ANN was trained by the training data group generated by the adaptive power system stabilizer (APSS). During the training, the ANN was required to memorize and simulate the control strategy of APSS until the differences are within the specified criteria. Results show that the proposed ANN based PSS can provide good damping of the power system over a wide operating range and significantly improve the dynamic performance of the system.

Published
1993

8. The B AB AR detector

Author

Aubert, B., Bazan, A., Boucham, A., Boutigny, D., De Bonis, I., Favier, J., Gaillard, J.-M., Jeremie, A., Karyotakis, Y., Le Flour, T., Lees, J.P., Lieunard, S., Petitpas, P., Robbe, P., Tisserand, V., Zachariadou, K., Palano, A., Chen, G.P., Chen, J.C., Qi, N.D., Rong, G., Wang, P., Zhu, Y.S., Eigen, G., Reinertsen, P.L., Stugu, B., Abbott, B., Abrams, G.S., Amerman, L., Borgland, A.W., Breon, A.B., Brown, D.N., Button-Shafer, J., Clark, A.R., Dardin, S., Day, C., Dow, S.F., Fan, Q., Gaponenko, I., Gill, M.S., Goozen, F.R., Gowdy, S.J., Gritsan, A., Groysman, Y., Hernikl, C., Jacobsen, R.G., Jared, R.C., Kadel, R.W., Kadyk, J., Karcher, A., Kerth, L.T., Kipnis, I., Kluth, S., Kral, J.F., Lafever, R., LeClerc, C., Levi, M.E., Lewis, S.A., Lionberger, C., Liu, T., Long, M., Luo, L., Lynch, G., Luft, P., Mandelli, E., Marino, M., Marks, K., Matuk, C., Meyer, A.B., Minor, R., Mokhtarani, A., Momayezi, M., Nyman, M., Oddone, P.J., Ohnemus, J., Oshatz, D., Patton, S., Pedrali-Noy, M., Perazzo, A., Peters, C., Pope, W., Pripstein, M., Quarrie, D.R., Rasson, J.E., Roe, N.A., Romosan, A., Ronan, M.T., Shelkov, V.G., Stone, R., Strother, P.D., Telnov, A.V., von der Lippe, H., Weber, T.F., Wenzel, W.A., Zizka, G., Bright-Thomas, P.G., Hawkes, C.M., Kirk, A., Knowles, D.J., O'Neale, S.W., Watson, A.T., Watson, N.K., Deppermann, T., Koch, H., Krug, J., Kunze, M., Lewandowski, B., Peters, K., Schmuecker, H., Steinke, M., Andress, J.C., Barlow, N.R., Bhimji, W., Chevalier, N., Clark, P.J., Cottingham, W.N., De Groot, N., Dyce, N., Foster, B., Mass, A., McFall, J.D., Wallom, D., Wilson, F.F., Abe, K., Hearty, C., McKenna, J.A., Thiessen, D., Camanzi, B., Harrison, T.J., McKemey, A.K., Tinslay, J., Antohin, E.I., Blinov, V.E., Bukin, A.D., Bukin, D.A., Buzykaev, A.R., Dubrovin, M.S., Golubev, V.B., Ivanchenko, V.N., Kolachev, G.M., Korol, A.A., Kravchenko, E.A., Mikhailov, S.F., Onuchin, A.P., Salnikov, A.A., Serednyakov, S.I., Skovpen, Yu.I., Telnov, V.I., Yushkov, A.N., Booth, J., Lankford, A.J., Mandelkern, M., Pier, S., Stoker, D.P., Zioulas, G., Ahsan, A., Arisaka, K., Buchanan, C., Chun, S., Faccini, R., MacFarlane, D.B., Prell, S.A., Rahatlou, Sh., Raven, G., Sharma, V., Burke, S., Callahan, D., Campagnari, C., Dahmes, B., Hale, D., Hart, P.A., Kuznetsova, N., Kyre, S., Levy, S.L., Long, O., Lu, A., May, J., Richman, J.D., Verkerke, W., Witherell, M., Yellin, S., Beringer, J., DeWitt, J., Dorfan, D.E., Eisner, A.M., Frey, A., Grillo, A.A., Grothe, M., Heusch, C.A., Johnson, R.P., Kroeger, W., Lockman, W.S., Pulliam, T., Rowe, W., Sadrozinski, H., Schalk, T., Schmitz, R.E., Schumm, B.A., Seiden, A., Spencer, E.N., Turri, M., Walkowiak, W., Wilder, M., Williams, D.C., Chen, E., Dubois-Felsmann, G.P., Dvoretskii, A., Hanson, J.E., Hitlin, D.G., Kolomensky, Yu.G., Metzler, S., Oyang, J., Porter, F.C., Ryd, A., Samuel, A., Weaver, M., Yang, S., Zhu, R.Y., Devmal, S., Geld, T.L., Jayatilleke, S., Jayatilleke, S.M., Mancinelli, G., Meadows, B.T., Sokoloff, M.D., Bloom, P., Broomer, B., Erdos, E., Fahey, S., Ford, W.T., Gaede, F., van Hoek, W.C., Johnson, D.R., Michael, A.K., Nauenberg, U., Olivas, A., Park, H., Rankin, P., Roy, J., Sen, S., Smith, J.G., Wagner, D.L., Blouw, J., Harton, J.L., Krishnamurthy, M., Soffer, A., Toki, W.H., Warner, D.W., Wilson, R.J., Zhang, J., Brandt, T., Brose, J., Dahlinger, G., Dickopp, M., Dubitzky, R.S., Eckstein, P., Futterschneider, H., Kocian, M.L., Krause, R., Müller-Pfefferkorn, R., Schubert, K.R., Schwierz, R., Spaan, B., Wilden, L., Behr, L., Bernard, D., Bonneaud, G.R., Brochard, F., Cohen-Tanugi, J., Ferrag, S., Fouque, G., Gastaldi, F., Matricon, P., Mora de Freitas, P., Renard, C., Roussot, E., T'Jampens, S., Thiebaux, C., Vasileiadis, G., Verderi, M., Anjomshoaa, A., Bernet, R., Di Lodovico, F., Muheim, F., Playfer, S., Swain, J.E., Falbo, M., Bozzi, C., Dittongo, S., Folegani, M., Piemontese, L., Ramusino, A.C., Treadwell, E., Anulli, F., Baldini-Ferroli, R., Calcaterra, A., de Sangro, R., Falciai, D., Finocchiaro, G., Patteri, P., Peruzzi, I.M., Piccolo, M., Xie, Y., Zallo, A., Bagnasco, S., Buzzo, A., Contri, R., Crosetti, G., Fabbricatore, P., Farinon, S., Lo Vetere, M., Macri, M., Minutoli, S., Monge, M.R., Musenich, R., Pallavicini, M., Parodi, R., Passaggio, S., Pastore, F.C., Patrignani, C., Pia, M.G., Priano, C., Robutti, E., Santroni, A., Bartoldus, R., Dignan, T., Hamilton, R., Mallik, U., Cochran, J., Crawley, H.B., Fischer, P.A., Lamsa, J., McKay, R., Meyer, W.T., Rosenberg, E.I., Albert, J.N., Beigbeder, C., Benkebil, M., Breton, D., Cizeron, R., Du, S., Grosdidier, G., Hast, C., Höcker, A., Lacker, H.M., LePeltier, V., Lutz, A.M., Plaszczynski, S., Schune, M.H., Trincaz-Duvoid, S., Truong, K., Valassi, A., Wormser, G., Alford, O., Behne, D., Bionta, R.M., Bowman, J., Brigljević, V., Brooks, A., Dacosta, V.A., Fackler, O., Fujino, D., Harper, M., Lange, D.J., Mugge, M., O'Connor, T.G., Olson, H., Ott, L., Parker, E., Pedrotti, B., Roeben, M., Shi, X., van Bibber, K., Wenaus, T.J., Wright, D.M., Wuest, C.R., Yamamoto, B., Carroll, M., Cooke, P., Fry, J.R., Gabathuler, E., Gamet, R., George, M., Kay, M., McMahon, S., Muir, A., Payne, D.J., Sloane, R.J., Sutcliffe, P., Touramanis, C., Aspinwall, M.L., Bowerman, D.A., Dauncey, P.D., Eschrich, I., Gunawardane, N.J.W., Martin, R., Nash, J.A., Price, D.R., Sanders, P., Smith, D., Azzopardi, D.E., Back, J.J., Dixon, P., Harrison, P.F., Newman-Coburn, D., Potter, R.J.L., Shorthouse, H.W., Williams, M.I., Vidal, P.B., Cowan, G., George, S., Green, M.G., Kurup, A., Marker, C.E., McGrath, P., McMahon, T.R., Salvatore, F., Scott, I., Vaitsas, G., Brown, D., Davis, C.L., Li, Y., Pavlovich, J., Allison, J., Barlow, R.J., Boyd, J.T., Fullwood, J., Jackson, F., Khan, A., Lafferty, G.D., Savvas, N., Simopoulos, E.T., Thompson, R.J., Weatherall, J.H., Bard, R., Dallapiccola, C., Farbin, A., Jawahery, A., Lillard, V., Olsen, J., Roberts, D.A., Schieck, J.R., Blaylock, G., Flood, K.T., Hertzbach, S.S., Kofler, R., Lin, C.S., Willocq, S., Wittlin, J., Brau, B., Cowan, R., Taylor, F., Yamamoto, R.K., Britton, D.I., Fernholz, R., Houde, M., Milek, M., Patel, P.M., Trischuk, J., Lanni, F., Palombo, F., Bauer, J.M., Booke, M., Cremaldi, L., Kroeger, R., Reep, M., Reidy, J., Sanders, D.A., Summers, D.J., Arguin, J.F., Beaulieu, M., Martin, J.P., Nief, J.Y., Seitz, R., Taras, P., Woch, A., Zacek, V., Nicholson, H., Sutton, C.S., Cartaro, C., Cavallo, N., De Nardo, G., Fabozzi, F., Gatto, C., Lista, L., Piccolo, D., Sciacca, C., Cason, N.M., LoSecco, J.M., Alsmiller, J.R.G., Gabriel, T.A., Handler, T., Heck, J., Iwasaki, M., Sinev, N.B., Caracciolo, R., Colecchia, F., Dal Corso, F., Galeazzi, F., Marzolla, M., Michelon, G., Morandin, M., Posocco, M., Rotondo, M., Santi, S., Simonetto, F., Stroili, R., Torassa, E., Voci, C., Bailly, P., Benayoun, M., Briand, H., Chauveau, J., David, P., De la Vaissière, C., Del Buono, L., Genat, J.-F., Hamon, O., Leruste, Ph., Le Diberder, F., Lebbolo, H., Lory, J., Martin, L., Martinez-Vidal, F., Roos, L., Stark, J., Versillé, S., Zhang, B., Manfredi, P.F., Ratti, L., Re, V., Speziali, V., Frank, E.D., Gladney, L., Guo, Q.H., Panetta, J.H., Angelini, C., Batignani, G., Bettarini, S., Bondioli, M., Bosi, F., Carpinelli, M., Forti, F., Gaddi, A., Gagliardi, D., Giorgi, M.A., Lusiani, A., Mammini, P., Morganti, M., Morsani, F., Neri, N., Profeti, A., Paoloni, E., Raffaelli, F., Rama, M., Rizzo, G., Sandrelli, F., Simi, G., Triggiani, G., Haire, M., Judd, D., Paick, K., Turnbull, L., Wagoner, D.E., Albert, J., Bula, C., Kelsey, M.H., Lu, C., McDonald, K.T., Miftakov, V., Sands, B., Schaffner, S.F., Smith, A.J.S., Tumanov, A., Varnes, E.W., Bronzini, F., Buccheri, A., Bulfon, C., Cavoto, G., del Re, D., Ferrarotto, F., Ferroni, F., Fratini, K., Lamanna, E., Leonardi, E., Mazzoni, M.A., Morganti, S., Piredda, G., Safai Tehrani, F., Serra, M., Voena, C., Waldi, R., Jacques, P.F., Kalelkar, M., Plano, R.J., Adye, T., Claxton, B., Dowdell, J., Egede, U., Franek, B., Galagedera, S., Geddes, N.I., Gopal, G.P., Kay, J., Lidbury, J., Madani, S., Metcalfe, S., Markey, G., Olley, P., Watt, M., Xella, S.M., Aleksan, R., Besson, P., Bourgeois, P., Convert, P., De Domenico, G., de Lesquen, A., Emery, S., Gaidot, A., Ganzhur, S.F., Georgette, Z., Gosset, L., Graffin, P., Hamel de Monchenault, G., Hervé, S., Karolak, M., Kozanecki, W., Langer, M., London, G.W., Marques, V., Mayer, B., Micout, P., Mols, J.P., Mouly, J.P., Penichot, Y., Rolquin, J., Serfass, B., Toussaint, J.C., Usseglio, M., Vasseur, G., Yeche, C., Zito, M., Copty, N., Purohit, M.V., Yumiceva, F.X., Adam, I., Adesanya, A., Anthony, P.L., Aston, D., Bartelt, J., Becla, J., Bell, R., Bloom, E., Boeheim, C.T., Boyarski, A.M., Boyce, R.F., Briggs, D., Bulos, F., Burgess, W., Byers, B., Calderini, G., Chestnut, R., Claus, R., Convery, M.R., Coombes, R., Cottrell, L., Coupal, D.P., Coward, D.H., Craddock, W.W., DeBarger, S., DeStaebler, H., Dorfan, J., Doser, M., Dunwoodie, W., Dusatko, J.E., Ecklund, S., Fieguth, T.H., Freytag, D.R., Glanzman, T., Godfrey, G.L., Haller, G., Hanushevsky, A., Harris, J., Hasan, A., Hee, C., Himel, T., Huffer, M.E., Hung, T., Innes, W.R., Jessop, C.P., Kawahara, H., Keller, L., King, M.E., Klaisner, L., Krebs, H.J., Langenegger, U., Langeveld, W., Leith, D.W.G.S., Louie, S.K., Luitz, S., Luth, V., Lynch, H.L., McDonald, J., Manzin, G., Marsiske, H., Mattison, T., McCulloch, M., McDougald, M., McShurley, D., Menke, S., Messner, R., Morii, M., Mount, R., Muller, D.R., Nelson, D., Nordby, M., O'Grady, C.P., Olavson, L., O'Neill, F.G., Oxoby, G., Paolucci, P., Pavel, T., Perl, J., Pertsova, M., Petrak, S., Putallaz, G., Raines, P.E., Ratcliff, B.N., Reif, R., Robertson, S.H., Rochester, L.S., Roodman, A., Russel, J.J., Sapozhnikov, L., Saxton, O.H., Schietinger, T., Schindler, R.H., Schwiening, J., Sciolla, G., Seeman, J.T., Serbo, V.V., Shapiro, S., Skarpass Sr, K., Snyder, A., Soderstrom, E., Soha, A., Spanier, S.M., Stahl, A., Stiles, P., Su, D., Sullivan, M.K., Talby, M., Tanaka, H.A., Va'vra, J., Wagner, S.R., Wang, R., Weber, T., Weinstein, A.J.R., White, J.L., Wienands, U., Wisniewski, W.J., Young, C.C., Yu, N., Burchat, P.R., Cheng, C.H., Kirkby, D., Meyer, T.I., Roat, C., Henderson, R., Khan, N., Berridge, S., Bugg, W., Cohn, H., Hart, E., Weidemann, A.W., Benninger, T., Izen, J.M., Kitayama, I., Lou, X.C., Turcotte, M., Bianchi, F., Bona, M., Daudo, F., Di Girolamo, B., Gamba, D., Grosso, P., Smol, A., Trapani, P.P., Zanin, D., Bosisio, L., Della Ricca, G., Lanceri, L., Pompili, A., Poropat, P., Prest, M., Rashevskaia, I., Vallazza, E., Vuagnin, G., Panvini, R.S., Brown, C., De Silva, A., Kowalewski, R., Pitman, D., Roney, J.M., Band, H.R., Charles, E., Dasu, S., Elmer, P., Johnson, J.R., Nielsen, J., Orejudos, W., Pan, Y., Prepost, R., Scott, I.J., Walsh, J., Wu, S.L., Yu, Z., Zobernig, H., Moore, T.B., and Neal, H.

Published
2002
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9. Partial wave analysis of J/ ψ→ γ( K±KS0π∓)

Author

Bai, J.Z., Ban, Y., Bian, J.G., Chen, A.D., Chen, G.P., Chen, H.F., Chen, H.S., Chen, J.C., Chen, X.D., Chen, Y., Chen, Y.B., Cheng, B.S., Cui, X.Z., Ding, H.L., Dong, L.Y., Du, Z.Z., Gao, C.S., Gao, M.L., Gao, S.Q., Gu, J.H., Gu, S.D., Gu, W.X., Guo, Y.N., Guo, Z.J., Han, S.W., Han, Y., He, J., He, J.T., He, K.L., He, M., Heng, Y.K., Hu, G.Y., Hu, H.M., Hu, J.L., Hu, Q.H., Hu, T., Huang, G.S., Huang, X.P., Huang, Y.Z., Jiang, C.H., Jin, Y., Ju, X., Ke, Z.J., Lai, Y.F., Lang, P.F., Li, C.G., Li, D., Li, H.B., Li, J., Li, J.C., Li, P.Q., Li, W., Li, W.G., Li, X.H., Li, X.N., Li, X.Q., Li, Z.C., Liu, B., Liu, F., Liu, Feng, Liu, H.M., Liu, J., Liu, J.P., Liu, R.G., Liu, Y., Liu, Z.X., Lu, G.R., Lu, F., Lu, J.G., Luo, X.L., Ma, E.C., Ma, J.M., Mao, H.S., Mao, Z.P., Meng, X.C., Mo, X.H., Nie, J., Qi, N.D., Qi, X.R., Qian, C.D., Qiu, J.F., Qu, Y.H., Que, Y.K., Rong, G., Shao, Y.Y., Shen, B.W., Shen, D.L., Shen, H., Shen, H.Y., Shen, X.Y., Shi, F., Shi, H.Z., Song, X.F., Sun, H.S., Sun, L.F., Sun, Y.Z., Tang, S.Q., Tong, G.L., Wang, F., Wang, L., Wang, L.S., Wang, L.Z., Wang, P., Wang, P.L., Wang, S.M., Wang, Y.Y., Wang, Z.Y., Wei, C.L., Wu, N., Wu, Y.G., Xi, D.M., Xia, X.M., Xie, Y., Xie, Y.H., Xu, G.F., Xue, S.T., Yan, J., Yan, W.G., Yang, C.M., Yang, C.Y., Yang, H.X., Yang, X.F., Ye, M.H., Ye, S.W., Ye, Y.X., Yu, C.S., Yu, C.X., Yu, G.W., Yu, Y.H., Yu, Z.Q., Yuan, C.Z., Yuan, Y., Zhang, B.Y., Zhang, C., Zhang, C.C., Zhang, D.H., Zhang, Dehong, Zhang, H.L., Zhang, J., Zhang, J.W., Zhang, L., Zhang, Lei, Zhang, L.S., Zhang, P., Zhang, Q.J., Zhang, S.Q., Zhang, X.Y., Zhang, Y.Y., Zhao, D.X., Zhao, H.W., Zhao, Jiawei, Zhao, J.W., Zhao, M., Zhao, W.R., Zhao, Z.G., Zheng, J.P., Zheng, L.S., Zheng, Z.P., Zhou, B.Q., Zhou, L., Zhu, K.J., Zhu, Q.M., Zhu, Y.C., Zhu, Y.S., Zhu, Z.A., Zhuang, B.A., Bugg, D.V., and Zou, B.S.

Published
2000
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10. Partial wave analysis of J/ ψ→ γ( π+π−π+π−)

Author

Bai, J.Z., Ban, Y., Bian, J.G., Chen, A.D., Chen, G.P., Chen, H.F., Chen, H.S., Chen, J.C., Chen, X.D., Chen, Y., Chen, Y.B., Cheng, B.S., Cui, X.Z., Ding, H.L., Dong, L.Y., Du, Z.Z., Gao, C.S., Gao, M.L., Gao, S.Q., Gu, J.H., Gu, S.D., Gu, W.X., Guo, Y.N., Guo, Z.J., Han, S.W., Han, Y., He, J., He, J.T., He, K.L., He, M., Heng, Y.K., Hu, G.Y., Hu, H.M., Hu, J.L., Hu, Q.H., Hu, T., Huang, G.S., Huang, X.P., Huang, Y.Z., Jiang, C.H., Jin, Y., Ju, X., Ke, Z.J., Lai, Y.F., Lang, P.F., Li, C.G., Li, D., Li, H.B., Li, J., Li, J.C., Li, P.Q., Li, W., Li, W.G., Li, X.H., Li, X.N., Li, X.Q., Li, Z.C., Liu, B., Liu, F., Liu, Feng, Liu, H.M., Liu, J., Liu, J.P., Liu, R.G., Liu, Y., Liu, Z.X., Lu, G.R., Lu, F., Lu, J.G., Luo, X.L., Ma, E.C., Ma, J.M., Mao, H.S., Mao, Z.P., Meng, X.C., Mo, X.H., Nie, J., Qi, N.D., Qi, X.R., Qian, C.D., Qiu, J.F., Qu, Y.H., Que, Y.K., Rong, G., Shao, Y.Y., Shen, B.W., Shen, D.L., Shen, H., Shen, H.Y., Shen, X.Y., Shi, F., Shi, H.Z., Song, X.F., Sun, H.S., Sun, L.F., Sun, Y.Z., Tang, S.Q., Tong, G.L., Wang, F., Wang, L., Wang, L.S., Wang, L.Z., Wang, P., Wang, P.L., Wang, S.M., Wang, Y.Y., Wang, Z.Y., Wei, C.L., Wu, N., Wu, Y.G., Xi, D.M., Xia, X.M., Xie, Y., Xie, Y.H., Xu, G.F., Xue, S.T., Yan, J., Yan, W.G., Yang, C.M., Yang, C.Y., Yang, H.X., Yang, X.F., Ye, M.H., Ye, S.W., Ye, Y.X., Yu, C.S., Yu, C.X., Yu, G.W., Yu, Y.H., Yu, Z.Q., Yuan, C.Z., Yuan, Y., Zhang, B.Y., Zhang, C., Zhang, C.C., Zhang, D.H., Zhang, Dehong, Zhang, H.L., Zhang, J., Zhang, J.W., Zhang, L., Zhang, Lei, Zhang, L.S., Zhang, P., Zhang, Q.J., Zhang, S.Q., Zhang, X.Y., Zhang, Y.Y., Zhao, D.X., Zhao, H.W., Zhao, Jiawei, Zhao, J.W., Zhao, M., Zhao, W.R., Zhao, Z.G., Zheng, J.P., Zheng, L.S., Zheng, Z.P., Zhou, B.Q., Zhou, L., Zhu, K.J., Zhu, Q.M., Zhu, Y.C., Zhu, Y.S., Zhu, Z.A., Zhuang, B.A., Bugg, D.V., Zou, B.S., and Scott, I.

Published
2000
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11. Partial wave analysis of J/ ψ→ γ( ηπ+π−)

Author

Bai, J.Z., Ban, Y., Bian, J.G., Chen, G.P., Chen, H.F., Chen, J.C., Chen, Y., Chen, Y.B., Chen, Y.Q., Cheng, B.S., Cui, X.Z., Ding, H.L., Dong, L.Y., Du, Z.Z., Gao, C.S., Gao, M.L., Gao, S.Q., Gu, J.H., Gu, S.D., Gu, W.X., Gu, Y.F., Guo, Y.N., Han, S.W., Han, Y., He, J., He, J.T., He, K.L., He, M., Hu, G.Y., Hu, H.M., Hu, J.L., Hu, Q.H., Hu, T., Hu, X.Q., Huang, Y.Z., Jiang, C.H., Jin, Y., Ke, Z.J., Lai, Y.F., Lang, P.F., Li, C.G., Li, D., Li, H.B., Li, J., Li, P.Q., Li, R.B., Li, W., Li, W.G., Li, X.H., Li, X.N., Liu, H.M., Liu, J., Liu, R.G., Liu, Y., Lu, F., Lu, J.G., Luo, X.L., Ma, E.C., Ma, J.M., Mao, H.S., Mao, Z.P., Meng, X.C., Nie, J., Qi, N.D., Qi, X.R., Qian, C.D., Qiu, J.F., Qu, Y.H., Que, Y.K., Rong, G., Shao, Y.Y., Shen, B.W., Shen, D.L., Shen, H., Shen, X.Y., Sheng, H.Y., Shi, H.Z., Song, X.F., Sun, F., Sun, H.S., Sun, Y., Sun, Y.Z., Tang, S.Q., Tong, G.L., Wang, F., Wang, L.S., Wang, L.Z., Wang, Meng, Wang, P., Wang, P.L., Wang, S.M., Wang, T.J., Wang, Y.Y., Wei, C.L., Wu, Y.G., Xi, D.M., Xia, X.M., Xie, P.P., Xie, Y., Xie, Y.H., Xu, G.F., Xue, S.T., Yan, J., Yan, W.G., Yang, C.M., Yang, C.Y., Yang, J., Yang, X.F., Ye, M.H., Ye, S.W., Ye, Y.X., Yu, C.S., Yu, C.X., Yu, G.W., Yu, Y.H., Yu, Z.Q., Yuan, C.Z., Yuan, Y., Zhang, B.Y., Zhang, C.C., Zhang, D.H., Zhang, Dehong, Zhang, H.L., Zhang, J., Zhang, J.W., Zhang, L.S., Zhang, Q.J., Zhang, S.Q., Zhang, X.Y., Zhang, Y.Y., Zhao, D.X., Zhao, H.W., Zhao, Jiawei, Zhao, J.W., Zhao, M., Zhao, W.R., Zhao, Z.G., Zheng, J.P., Zheng, L.S., Zheng, Z.P., Zhou, B.Q., Zhou, G.P., Zhou, H.S., Zhou, L., Zhu, K.J., Zhu, Q.M., Zhu, Y.C., Zhu, Y.S., Zhuang, B.A., Bugg, D.V., Sarantsev, A.V., and Zou, B.S.

Published
1999
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12. Real-Time Motion Tracking and Correction During Tomotherapy for Prostate Cancer: Impact of Fiducial Migration.

Author

Chen, G.P., Tai, A., Omari, E.A., Bedi, M., Lawton, C.A.F., and Li, A.

Subjects
*PROSTATE cancer, *PROSTATE cancer patients, *LICENSE fees, *RADIOGRAPHS, *DEFAULT (Finance)
Abstract

Purpose/objective(s): A real-time motion tracking technique has been recently implemented in our clinic to manage intrafraction prostate motion (IPM) during helical tomotherapy for prostate cancer. It involves detecting motion of multiple fiducials implanted in prostate based on real-time x-ray radiographs acquired at various beam angles and correcting the motion using dynamic jaw and MLC. The purpose of this study was to study interfractional fiducial migration (IFM) and its impact on intrafraction motion tracking.Materials/methods: Daily MVCT and radiographs acquired during tomotherapy with real-time motion tracking for 5 prostate cancer patients were analyzed to quantify IFM and IPM. All patients were treated with either 70 Gy in 28 or 75.6 Gy in 42 fractions based on plans generated on planning CTs acquired 14-70 days after the implantation of 4 fiducials for each patient. Time intervals between the first treatment and the planning CT acquisition ranged 4-16 days. The IPM was measured based on the maximum target position difference between the radiographs. Daily migration of each fiducial was obtained by (1) rigidly registering the daily MVCT with the planning CT based on prostate matching, and (2) calculating coordinate differences between the fiducial positions on the daily and plan images. To investigate the impact of fiducial migration on motion tracking that uses fiducial positions on the planning CT as baseline, we compared the maximum fiducial pair distance change (RigidBody, a tracking parameter) calculated from the planning CT to radiographs (default) to the value calculated from daily MVCT to radiographs. The daily target offsets (another tracking parameter) determined between the planning CT and radiographs were assessed if the fiducial migrations were removed.Results: The average daily IPM was 3.2 ± 2.9 (up to 5.8 ± 4.0 for a patient) mm. The average IFM was 2.0 ± 1.1 mm (ranging 1.5-2.5 mm among the patients) with median and interquartile range (IQR) values of 1.8 and 1.2 mm, respectively. The fiducials migrated differently in the longitudinal (std/IQR = 1.8/2.2 mm), vertical (1.2/1.6 mm), and lateral (0.7/0.8 mm) directions. The daily fiducial COM deviated from its plan position by 1.6 ± 0.8 mm (ranging 1.3-2.0 mm among the patients) with median/IQR = 1.5/1.0 mm. The overall average of RigidBody reduced from 2.6 ± 0.7 mm (default) to 1.3 ± 0.4 mm if from daily MVCT. The average daily target offsets decreased from 3.2 ± 1.5 to 2.2 ± 1.0 mm if the fiducial migrations were removed.Conclusion: The fiducial-based real-time prostate motion tracking during tomotherapy is advantageous, even in the presence of the measurable IFMs. Our results indicate that, to reduce/eliminate the effect of the fiducial migration on motion tracking stability and accuracy, the fiducial positions on the daily MVCT, instead of the planning CT in the current setting, should be used as the baseline.Author Disclosure: G. Chen: North Central Chapter of AAPM, Medical College of Wisconsin. A. Tai: None. E.A. Omari: None. M. Bedi: None. C.A. Lawton: None. A. Li: Research Grant; Elekta AB, Accuray Inc, Siemens Healthineers, Manteia Med. Honoraria; Elekta AB, Accuray Inc. Patent/License Fees/Copyright; Manteia Med. [ABSTRACT FROM AUTHOR]

Published
2021
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13. Enhancement of Haemophilus parasuis serovar 5 yields by medium optimization.

Author

Gu, W., Chen, S.W., Chen, G.P., and Ji, Z.X.

Subjects
HAEMOPHILUS, CANONICAL correlation (Statistics), YEAST extract, NICOTINAMIDE adenine dinucleotide phosphate, SALT, QUANTITATIVE research, FERMENTATION
Abstract

The purpose of this study was to optimize the medium components for high productivity of Haemophilus parasuis serovar 5 through statistical approach. Plakett-Burman experimental design was initially applied to identify the factors that influenced the biomass of H. parasuis. Based on the response surface and canonical analyses, the optimum concentrations of the critical components were obtained as follows: 43·55 g l−1, yeast extract; 1·05 g l−1, sodium chloride; 11·63% (v/v), phosphate buffer; 10% (v/v), bovine serum; and 20 μg l−1, nicotinamide adenine dinucleotide. The number of viable cells of H. parasuis reached 4·7*109 CFU ml−1 and the productivity was 4·7*109 CFU ml−1 h−1 after cultivation in the optimal medium in 3 l fermentor, increasing 2·5 times and 3·9 times more than that in tryptone soy broth medium, respectively. Significance and Impact of the Study This study is the first report on statistical optimization of medium components for the fermentation of Haemophilus parasuis serovar 5. The improved medium was highly efficient, less expensive (its cost was $1·16 l−1, while that of tryptone soy broth was $4·00 l−1) and has been used for large-scale production in Wuhan Keqian Animal Biology Product Co. Ltd, China, and it will improve the industrialization of H. parasuis worldwide. [ABSTRACT FROM AUTHOR]

Published
2015
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19. Partial wave analysis of J/ ψ→ γ( K+K−π0)

Author

Bai, J.Z, Bian, J.G, Chai, Z.W, Chen, G.P, Chen, H.F, Chen, J.C, Chen, Y, Chen, Y.B, Chen, Y.Q, Cheng, B.S, Cui, X.Z, Ding, H.L, Dong, L.Y, Du, Z.Z, Feng, S, Gao, C.S, Gao, M.L, Gao, S.Q, Gu, J.H, Gu, S.D, Gu, W.X, Gu, Y.F, Guo, Y.N, Guo, Z.J, Han, S.W, Han, Y, He, J, He, J.T, He, M, Hu, G.Y, Hu, H.M, Hu, J.L, Hu, Q.H, Hu, T, Hu, X.Q, Huang, J.D, Huang, Y.Z, Jiang, C.H, Jin, Y, Ke, Z.J, Lai, Y.F, Lang, P.F, Li, C.G, Li, D, Li, H.B, Li, J, Li, P.Q, Li, R.B, Li, W, Li, W.D, Li, W.G, Li, X.H, Li, X.N, Liu, H.M, Liu, J, Liu, J.H, Liu, R.G, Liu, Y, Lu, F, Lu, J.G, Lu, J.Y, Lu, L.C, Luo, C.H, Ma, A.M, Ma, E.C, Ma, J.M, Mao, H.S, Mao, Z.P, Meng, X.C, Nie, J, Qi, N.D, Qi, X.R, Qian, C.D, Qiu, J.F, Qu, Y.H, Que, Y.K, Rong, G, Shao, Y.Y, Shen, B.W, Shen, D.L, Shen, H, Shen, X.Y, Sheng, H.Y, Shi, H.Z, Song, X.F, Sun, F, Sun, H.S, Tang, S.Q, Tong, G.L, Wang, F, Wang, L.S, Wang, L.Z, Wang, M, Wang, Meng, Wang, P, Wang, P.L, Wang, S.M, Wang, T.J, Wang, Y.Y, Wei, C.L, Wu, Y.G, Xi, D.M, Xia, X.M, Xie, P.P, Xie, Y, Xie, Y.H, Xiong, W.J, Xu, C.C, Xu, G.F, Xue, S.T, Yan, J, Yan, W.G, Yang, C.M, Yang, C.Y, Yang, J, Yang, X.F, Ye, M.H, Ye, S.W, Ye, Y.X, Yi, K, Yu, C.S, Yu, C.X, Yu, Y.H, Yu, Z.Q, Yu, Z.T, Yuan, C.Z, Yuan, Y, Zhang, B.Y, Zhang, C.C, Zhang, D.H, Zhang, Dehong, Zhang, H.L, Zhang, J, Zhang, J.L, Zhang, J.W, Zhang, L.S, Zhang, Q.J, Zhang, S.Q, Zhang, X.Y, Zhang, Y, Zhang, Y.Y, Zhao, D.X, Zhao, H.W, Zhao, J.W, Zhao, M, Zhao, W.R, Zhao, Z.G, Zheng, J.P, Zheng, L.S, Zheng, Z.P, Zhou, G.P, Zhou, H.S, Zhou, L, Zhu, Q.M, Zhu, Y.C, Zhu, Y.S, Zhuang, B.A, Bugg, D.V, Sarantsev, A.V, and Zou, B.S

Published
1998
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20. Evidence for the leptonic decay D→ μνμ

Author

Bai, J.Z, Bardon, O, Blum, I, Breakstone, A, Burnett, T, Chen, G.P, Chen, H.F, Chen, J, Chen, S.J, Chen, S.M, Chen, Y, Chen, Y.B, Chen, Y.Q, Cheng, B.S, Cowan, R.F, Cui, X.Z, Ding, H.L, Du, Z.Z, Dunwoodie, W, Fan, X.L, Fang, J, Fero, M, Gao, C.S, Gao, M.L, Gao, S.Q, Gratton, P, Gu, J.H, Gu, S.D, Gu, W.X, Gu, Y.F, Guo, Y.N, Han, S.W, Han, Y, Harris, F.A, Hatanaka, M, He, J, He, M, Hitlin, D.G, Hu, G.Y, Hu, T, Hu, X.Q, Huang, D.Q, Huang, Y.Z, Izen, J.M, Jia, Q.P, Jiang, C.H, Jin, S, Jin, Y, Jones, L, Kang, S.H, Ke, Z.J, Kelsey, M.H, Kim, B.K, Kong, D, Lai, Y.F, Lan, H.B, Lang, P.F, Lankford, A, Li, F, Li, J, Li, P.Q, Li, Q, Li, R.B, Li, W, Li, W.D, Li, W.G, Li, X.H, Li, X.N, Lin, S.Z, Liu, H.M, Liu, J.H, Liu, Q, Liu, R.G, Liu, Y, Liu, Z.A, Lou, X.C, Lowery, B, Lu, J.G, Luo, S, Luo, Y, Ma, A.M, Ma, E.C, Ma, J.M, Mao, H.S, Mao, Z.P, Malchow, R, Mandelkern, M, Meng, X.C, Ni, H.L, Nie, J, Olsen, S.L, Oyang, J, Paluselli, D, Pan, L.J, Panetta, J, Porter, F, Prabhakar, E, Qi, N.D, Que, Y.K, Quigley, J, Rong, G, Schernau, M, Schmid, B, Schultz, J, Shao, Y.Y, Shen, D.L, Shen, H, Shen, X.Y, Sheng, H.Y, Shi, H.Z, Shi, X.R, Smith, A, Soderstrom, E, Song, X.F, Standifird, J, Stoker, D, Sun, F, Sun, H.S, Sun, S.J, Synodinos, J, Tan, Y.P, Tang, S.Q, Toki, W, Tong, G.L, Torrence, E, Wang, F, Wang, L.S, Wang, L.Z, Wang, M, Wang, P, Wang, P.L, Wang, S.M, Wang, T.J, Wang, Y.Y, Wei, C.L, Whittaker, S, Wilson, R, Wisniewski, W.J, Xi, D.M, Xia, X.M, Xie, P.P, Xu, D.Z, Xu, R.S, Xu, Z.Q, Xue, S.T, Yamamoto, R, Yan, J, Yan, W.G, Yang, C.M, Yang, C.Y, Yang, W, Ye, M.H, Ye, S.Z, Young, K, Yu, C.S, Yu, C.X, Yu, Z.Q, Yuan, C.Z, Zhang, B.Y, Zhang, C.C, Zhang, D.H, Zhang, H.L, Zhang, J, Zhang, J.W, Zhang, L.S, Zhang, S.Q, Zhang, Y, Zhang, Y.Y, Zhao, D.X, Zhao, H.W, Zhao, J.W, Zhao, M, Zhao, W.R, Zheng, J.P, Zheng, L.S, Zheng, Z.P, Zhou, G.P, Zhou, H.S, Zhou, L, Zhou, X.F, Zhou, Y.H, Zhu, Q.M, Zhu, Y.C, Zhu, Y.S, Zhuang, B.A, and Zioulas, G

Published
1998
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21. Decays of the J/ ψ to [formula omitted] and [formula omitted] final states

Author

Bai, J.Z, Bian, J.G, Chai, Z.W, Chen, G.P, Chen, H.F, Chen, J.C, Chen, Y, Chen, Y.B, Chen, Y.Q, Cheng, B.S, Cui, X.Z, Ding, H.L, Ding, L.Y, Dong, L.Y, Du, Z.Z, Feng, S, Gao, C.S, Gao, M.L, Gao, S.Q, Gu, J.H, Gu, S.D, Gu, W.X, Gu, Y.F, Guo, Y.N, Han, S.W, Han, Y, He, J, He, J.T, He, M, Hu, G.Y, Hu, H.M, Hu, J.L, Hu, Q.H, Hu, T, Hu, X.Q, Huang, J.D, Huang, Y.Z, Jiang, C.H, Jin, Y, Ke, Z.J, Lai, Y.F, Lang, P.F, Li, C.G, Li, D, Li, H.B, Li, J, Li, P.Q, Li, R.B, Li, W, Li, W.D, Li, W.G, Li, X.H, Li, X.N, Liu, H.M, Liu, J, Liu, J.H, Liu, R.G, Liu, Y, Lu, F, Lu, J.G, Lu, J.Y, Lu, L.C, Luo, C.H, Ma, A.M, Ma, E.C, Ma, J.M, Mao, H.S, Mao, Z.P, Meng, X.C, Nie, J, Qi, N.D, Qi, X.R, Qian, C.D, Qiu, J.F, Qu, Y.H, Que, Y.K, Rong, G, Shao, Y.Y, Shen, B.W, Shen, D.L, Shen, H, Shen, X.Y, Sheng, H.Y, Shi, H.Z, Song, X.F, Sun, F, Sun, H.S, Tang, S.Q, Tong, G.L, Wang, F, Wang, L.S, Wang, L.Z, Wang, M, Wang, Meng, Wang, P, Wang, P.L, Wang, S.M, Wang, T.J, Wang, Y.Y, Wei, C.L, Wu, Y.G, Xi, D.M, Xia, X.M, Xie, P.P, Xie, Y, Xie, Y.H, Xiong, W.J, Xu, C.C, Xu, G.F, Xue, S.T, Yan, J, Yan, W.G, Yang, C.M, Yang, C.Y, Yang, J, Yang, X.F, Ye, M.H, Ye, S.W, Ye, Y.X, Yi, K, Yu, C.S, Yu, C.X, Yu, Y.H, Yu, Z.Q, Yu, Z.T, Yuan, C.Z, Yuan, Y, Zhang, B.Y, Zhang, C.C, Zhang, D.H, Zhang, Dehong, Zhang, H.L, Zhang, J, Zhang, J.L, Zhang, J.W, Zhang, L.S, Zhang, Q.J, Zhang, S.Q, Zhang, X.Y, Zhang, Y, Zhang, Y.Y, Zhao, D.X, Zhao, H.W, Zhao, J.W, Zhao, M, Zhao, W.H, Zhao, W.R, Zhao, Z.G, Zheng, J.P, Zheng, L.S, Zheng, Z.P, Zhou, G.P, Zhou, H.S, Zhou, L, Zhu, Q.M, Zhu, Y.C, Zhu, Y.S, and Zhuang, B.A

Published
1998
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22. A measurement of [formula omitted] decay widths

Author

Bai, J.Z., Chen, G.P., Chen, H.F., Chen, S.J., Chen, S.M., Chen, Y., Chen, Y.B., Chen, Y.Q., Cheng, B.S., Cheng, Z.D., Cui, H.C., Cui, X.Z., Ding, H.L., Ding, W.Y., Du, Z.Z., Fan, X.L., Fang, J., Fang, W.Z., Gao, C.S., Gao, M.L., Gao, S.Q., Gao, W.X., Gu, J.H., Gu, S.D., Gu, W.X., Gu, Y.F., Guo, Y.N., Guo, Y.Y., Han, S.W., Han, Y., He, J., He, K.R., He, M., Hu, G.Y., Hu, H.P., Hu, T., Hu, X.Q., Huang, D.Q., Huang, Y.Z., Jiang, C.H., Jin, S., Jin, Y., Kang, S.H., Ke, Z.J., Lai, Y.F., Lan, H.B., Lang, P.F., Li, F., Li, J., Li, P.Q., Li, Q., Li, Q.M., Li, R.B., Li, W., Li, W.D., Li, W.G., Li, X.N., Lin, S.Z., Liu, H.M., Liu, J.H., Liu, Q., Liu, R.G., Liu, Y., Liu, Z.A., Lu, J.G., Luo, S.Q., Ma, A.M., Ma, D.H., Ma, E.C., Ma, J.M., Mao, H.S., Mao, Z.P., Meng, X.C., Ni, H.L., Nie, J., Pan, L.J., Qi, N.D., Que, Y.K., Rong, G., Shao, Y.Y., Shen, B.W., Shen, D.L., Shen, H., Shen, X.Y., Sheng, H.Y., Shi, H.Z., Song, X.F., Sun, F., Sun, H.S., Tan, Y.P., Tang, S.Q., Tong, G.L., Wang, L.S., Wang, L.Z., Wang, M., Wang, P., Wang, P.L., Wang, S.M., Wang, T.J., Wang, Y.Y., Wei, C.L., Xi, D.M., Xia, X.M., Xie, P.P., Xie, X.X., Xie, Y.G., Xu, D.Z., Xu, R.S., Xu, Z.Q., Xue, S.T., Yan, J., Yan, W.G., Yang, C.M., Yang, C.Y., Yang, W., Ye, M.H., Ye, S.Z., Yu, C.S., Yu, C.X., Yu, Z.Q., Yuan, C.Z., Zhang, B.Y., Zhang, C.C., Zhang, D.H., Zhang, H.L., Zhang, J., Zhang, J.W., Zhang, L.S., Zhang, S.Q., Zhang, X.Y., Zhang, Y., Zhang, Y.Y., Zhuang, B.A., Zhao, D.X., Zhao, J.W., Zhao, M., Zhao, P.D., Zhao, W.H., Zhao, W.R., Zheng, J.P., Zheng, L.S., Zheng, Z.P., Zhou, B.Q., Zhou, G.P., Zhou, H.S., Zhou, L., Zhou, X.F., Zhou, Y.H., Zhu, Q.M., Zhu, Y.C., and Zhu, Y.S.

Published
1995
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