Virtual Compton Scattering and the Generalized Polarizabilities of the Proton at Q^2=0.92 and 1.76 GeV^2

Autor: Fonvieille, H., Laveissiere, G., Degrande, N., Jaminion, S., Jutier, C., Todor, L., Di Salvo, R., Van Hoorebeke, L., Alexa, L. C., Anderson, B. D., Aniol, K. A., Arundell, K., Audit, G., Auerbach, L., Baker, F. T., Baylac, M., Berthot, J., Bertin, P. Y., Bertozzi, W., Bimbot, L., Boeglin, W. U., Brash, E. J., Breton, V., Breuer, H., Burtin, E., Calarco, J. R., Cardman, L. S., Cavata, C., Chang, C. -C., Chen, J. -P., Chudakov, E., Cisbani, E., Dale, D. S., deJager, C. W., De Leo, R., Deur, A., d'Hose, N., Dodge, G. E., Domingo, J. J., Elouadrhiri, L., Epstein, M. B., Ewell, L. A., Finn, J. M., Fissum, K. G., Fournier, G., Frois, B., Frullani, S., Furget, C., Gao, H., Gao, J., Garibaldi, F., Gasparian, A., Gilad, S., Gilman, R., Glamazdin, A., Glashausser, C., Gomez, J., Gorbenko, V., Grenier, P., Guichon, P. A. M., Hansen, J. O., Holmes, R., Holtrop, M., Howell, C., Huber, G. M., Hyde, C. E., Incerti, S., Iodice, M., Jardillier, J., Jones, M. K., Kahl, W., Kato, S., Katramatou, A. T., Kelly, J. J., Kerhoas, S., Ketikyan, A., Khayat, M., Kino, K., Kox, S., Kramer, L. H., Kumar, K. S., Kumbartzki, G., Kuss, M., Leone, A., LeRose, J. J., Liang, M., Lindgren, R. A., Liyanage, N., Lolos, G. J., Lourie, R. W., Madey, R., Maeda, K., Malov, S., Manley, D. M., Marchand, C., Marchand, D., Margaziotis, D. J., Markowitz, P., Marroncle, J., Martino, J., McCormick, K., McIntyre, J., Mehrabyan, S., Merchez, F., Meziani, Z. E., Michaels, R., Miller, G. W., Mougey, J. Y., Nanda, S. K., Neyret, D., Offermann, E. A. J. M., Papandreou, Z., Pasquini, B., Perdrisat, C. F., Perrino, R., Petratos, G. G., Platchkov, S., Pomatsalyuk, R., Prout, D. L., Punjabi, V. A., Pussieux, T., Quemener, G., Ransome, R. D., Ravel, O., Real, J. S., Renard, F., Roblin, Y., Rowntree, D., Rutledge, G., Rutt, P. M., Saha, A., Saito, T., Sarty, A. J., Serdarevic, A., Smith, T., Smirnov, G., Soldi, K., Sorokin, P., Souder, P. A., Suleiman, R., Templon, J. A., Terasawa, T., Tieulent, R., Tomasi-Gustaffson, E., Tsubota, H., Ueno, H., Ulmer, P. E., Urciuoli, G. M., Vanderhaeghen, M., Van der Meer, R. L. J., Van De Vyver, R., Vernin, P., Vlahovic, B., Voskanyan, H., Voutier, E., Watson, J. W., Weinstein, L. B., Wijesooriya, K., Wilson, R., Wojtsekhowski, B. B., Zainea, D. G., Zhang, W. -M., Zhao, J., Zhou, Z. -L.

Virtual Compton Scattering (VCS) on the proton has been studied at Jefferson Lab using the exclusive photon electroproduction reaction (e p --> e p gamma). This paper gives a detailed account of the analysis which has led to the determination of the

Externí odkaz: http://arxiv.org/abs/1205.3387

Innovative in silico approaches to address avian flu using grid technology

Autor: Breton, V. Vincent, Da Costa, A. L., De Vlieger, P., Maigne, L., Sarramia, D., Kim, Y. -M., Kim, D., Nguyen, H. Q., Solomonides, T., Wu, Y. -T., Hai, T. N.

Publikováno v: Infectious Disorders - Drug Targets (2008) 7 p

The recent years have seen the emergence of diseases which have spread very quickly all around the world either through human travels like SARS or animal migration like avian flu. Among the biggest challenges raised by infectious emerging diseases, o

Externí odkaz: http://arxiv.org/abs/0812.4341

Grid Added Value to Address Malaria

Autor: Breton, V., Jacq, N., Hofmann, M.

Publikováno v: Dans IEEE Transactions on Information Technology in Biomedicine (12) - 6th IEEE International Symposium on Cluster Computing and the Grid, CCGrid06, Singapore (2006)

Through this paper, we call for a distributed, internet-based collaboration to address one of the worst plagues of our present world, malaria. The spirit is a non-proprietary peer-production of information-embedding goods. And we propose to use the g

Externí odkaz: http://arxiv.org/abs/q-bio/0611052

Large Scale In Silico Screening on Grid Infrastructures

Autor: Jacq, N., Breton, V., Chen, H. -Y., Ho, L. -Y., Hofmann, M., Lee, H. -C., Legré, Y., Lin, S. -C., Maass, A., Medernach, E., Merelli, I., Milanesi, L., Rastelli, G., Reichstadt, M., Salzemann, J., Schwichtenberg, H., Sridhar, M., Kasam, V., Wu, Y. -T., Zimmermann, M.

Large-scale grid infrastructures for in silico drug discovery open opportunities of particular interest to neglected and emerging diseases. In 2005 and 2006, we have been able to deploy large scale in silico docking within the framework of the WISDOM

Externí odkaz: http://arxiv.org/abs/cs/0611084

Fully 3D Monte Carlo image reconstruction in SPECT using functional regions

Autor: Bitar, Z. El, Lazaro, D., Coello, C., Breton, V., Hill, D., Buvat, I.

Image reconstruction in Single Photon Emission Computed Tomography (SPECT) is affected by physical effects such as photon attenuation, Compton scatter and detector response. These effects can be compensated for by modeling the corresponding spread of

Externí odkaz: http://arxiv.org/abs/physics/0510245