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The JEM-EUSO mission
New Journal of Physics, 2009 JEM-EUSO is a space science mission to explore extreme energies and physics of the Universe. Its instrument will watch the dark-side of the earth and will detect UV photons emitted from the extensive air shower caused by an Ultra-High Energy Cosmic Rays (UHECRs above 10^18 eV), or Extremely High Energy Cosmic Ray (EHECR) particle (e.g., above about 10 ...Japan: T. Ebisuzaki, H. Omori, K. Maekawa, Y. Hachisu, K. Katahira, M. Mizutani, Y. Kawasaki, Y. Takizawa, S. Wada, K. Kawai, H. Mase, K. Shinozaki, T. Ogawa, F. Kajino, M. Sakata, Y. Yamamoto, F. Sato, N. Ebizuka, T. Yamamoto, M. Nagano, Y. Miyazaki, T. Shibata, N. Sakaki, N. Inoue, Y. Uchibori, K. Nomoto, Y. Takahashi, M. Takeda, H. Shimizu, Y. Arai, Y. Kurihara, J. Fujimoto, S. Yoshida, K. Mase, Y. Mizumoto, J. Watanabe, K. Asano, T. Kajino, H. Ikeda, M. Suzuki, H. Yano, T. Murakami, D. Yonetoku, N. Sugiyama, Y. Itow, S. Nagataki, S. Inoue, A. Saito, S. Abe, M. Nagata, T. Tajima, M. Chikawa, F. Tajima, M. S.a.t.o. USA: J. H. Adams, S. Mitchell, M. J. Christl, J. Watts Jr, A. English, R. Young, Y. Takahashi, D. Gregory, M. Bonamente, V. Connaughton, K. Pitalo, J. Hadaway, J. Geary, R. Lundquist, P. Reardon, T. Blackwell, H. Crawford, E. Judd, C. Pennypacker, V. Andreev, K. Arisaka, D. Cline, A. Berlind, T. Weiler, S. Czorna, R. Chipman, S. M.c.C.l.a.i.n. France: D. Allard, J. N. Capdevielle, J. Dolbeau, P. Gorodetzky, J. J. Jaeger, E. Parizot, T. Patzak, D. Semikoz, J. W.e.i.s.b.a.r.d. Germany: M. Teshima, T. Schweizer, A. Santangelo, E. Kendziorra, P. Biermann, K. Mannheim, J. W.i.l.m.s. Italy: E. Pace, M. Focardi, P. Spillantini, V. Bratina, A. Zuccaro, L. Gambicorti, A. Anzalone, O. Catalano, M. C. Maccarone, P. Scarsi, B. Sacco, G. La Rosa, G. D’Ali Staiti, D. Tegolo, M. Casolino, M. P. De Pascale, A. Morselli, P. Picozza, R. Sparvoli, P. Vallania, P. Galeotti, C. Vigorito, M. Bertaina, ISGRO', FRANCESCO, GUARINO, FAUSTO, D'URSO, DOMENICO, S. Russo, G. Osteria, D. Campana, M. Ambrosio, ARAMO, CARLA, G. De Rosa, Mexico: G. Medina Tanco, J. C. D’Olivo, J. F. Valdés, H. Salazar, O. Martines, L. V.i.l.l.a.s.e.ñ.o.r. Republic of Korea: S. Nam, I. H. Park, J. Yang, J. H. Park, T. Chung, T. W. Kim, S. W. Kim, K. K. J.o.o. Russia: G. K. Garipov, B. A. Khrenov, P. A. Klimov, M. I. Panasyuk, I. V. Yashin, S. Biktemerova, D. Naumov, L. T.k.a.c.h.e.v. Switzerland: A. Maurissen, V. M.i.t.e.v. Spain: D. Rodriguez Frias, L. Peral, J. Gutierrez, R. Gomez H.e.r.r.e.r.o. +148 morecore +9 more sourcesPerformances of JEM-EUSO: angular reconstruction [PDF]
Experimental Astronomy, 2014 Mounted on the International Space Station(ISS), the Extreme Universe Space Observatory, on-board the Japanese Experimental Module (JEM-EUSO), relies on the well established fluorescence technique to observe Extensive Air Showers (EAS) developing in the earth’s atmosphere. Focusing on the detection of Ultra High Energy Cosmic Rays (UHECR) in the decade Adams, J. H., Ahmad, S., Albert, J. -.N., Allard, D., Anchordoqui, L., Andreev, V., Anzalone, A., Arai, Y., Asano, K., Ave Pernas, M., Baragatti, P., Barrillon, P., Batsch, T., Bayer, J., Bechini, R., Belenguer, T., Bellotti, R., Belov, K., Berlind, A. A., Bertaina, M., Biermann, P. L., Biktemerova, S., Blaksley, C., Blanc, N., Båè©cki, J., Blin-bondil, S., Blã1⁄4mer, J., Bobik, P., Bogomilov, M., Bonamente, M., Briggs, M. S., Briz, S., Bruno, A., Cafagna, F., Campana, D., Capdevielle, J. -.N., Caruso, R., Casolino, M., Cassardo, C., Castellinic, G., Catalano, C., Catalano, G., Cellino, A., Chikawa, M., Christl, M. J., Cline, D., Connaughton, V., Conti, L., Cordero, G., Crawford, H. J., Cremonini, R., Csorna, S., Dagoret-campagne, S., De Castro, A. J., De Donato, C., De La Taille, C., De Santis, C., Del Peral, L., Dellâoro, A., De Simone, N., Di Martino, M., Distratis, G., Dulucq, F., Dupieux, M., Ebersoldt, A., Ebisuzaki, T., Engel, R., Falk, S., Fang, K., Fenu, F., Fernã¡ndez-gã3mez, I., Ferrarese, S., Finco, D., Flamini, M., Fornaro, C., Franceschi, A., Fujimoto, J., Fukushima, M., Galeotti, P., Garipov, G., Geary, J., Gelmini, G., Giraudo, G., Gonchar, M., Gonzã¡lez Alvarado, C., Gorodetzky, P., Guarino, F., Guzmã¡n, A., Hachisu, Y., Harlov, B., Haungs, A., Hernã¡ndez Carretero, J., Higashide, K., Ikeda, D., Ikeda, H., Inoue, N., Inoue, S., Insolia, A., Isgrã2, F., Itow, Y., Joven, E., Judd, E. G., Jung, A., Kajino, F., Kajino, T., Kaneko, I., Karadzhov, Y., Karczmarczyk, J., Karus, M., Katahira, K., Kawai, K., Kawasaki, Y., Keilhauer, B., Khrenov, B. A., Kim, J. -.S., Kim, S. -.W., Kim, S. -.W., Kleifges, M., Klimov, P. A., Kolev, D., Kreykenbohm, I., Kudela, K., Kurihara, Y., Kusenko, A., Kuznetsov, E., Lacombe, M., Lachaud, C., Lee, J., Licandro, J., Lim, H., Lã3pez, F., Maccarone, M. C., Mannheim, K., Maravilla, D., Marcelli, L., Marini, A., Martinez, O., Masciantonio, G., Mase, K., Matev, R., Medina-tanco, G., Mernik, T., Miyamoto, H., Miyazaki, Y., Mizumoto, Y., Modestino, G., Monaco, A., Monnier-ragaigne, D., Morales De Los Rãos, J. A., Moretto, C., Morozenko, V. S., Mot, B., Murakami, T., Murakami, M. Nagano, Nagata, M., Nagataki, S., Nakamura, T., Napolitano, T., Naumov, D., Nava, R., Neronov, A., Nomoto, K., Nonaka, T., Ogawa, T., Ogio, S., Ohmori, H., Olinto, A. V., Orleaåski, P., Osteria, G., Panasyuk, M. I., Parizot, E., Park, I. H., Park, H. W., Pastircak, B., Patzak, T., Paul, T., Pennypacker, C., Perez Cano, S., Peter, T., Picozza, P., Pierog, T., Piotrowski, L. W., Piraino, S., Plebaniak, Z., Pollini, A., Prat, P., Prã©vã ́t, G., Prieto, H., Putis, M., Reardon, P., Reyes, M., Ricci, M., Rodrãguez, I., Rodrãguez Frãas, M. D., Ronga, F., Roth, M., Rothkaehl, H., Roudil, G., Rusinov, I., Rybczyåski, M., Santangelo, A., Saprykin, O., Sarazin, F., Scotti, V., Tenzer, C., Tibolla, O., Tkachev, L., Toscano, S., Trillaud, F., Tsenov, R., Tsunesada, Y., Unger, M., Vallania, P., Vankova, G., Vigorito, C., Von Ballmoos, P., Wilms, J., Yano, H., Yoshida, S., Zotov, M. Y.U. +219 morecore +8 more sourcesJEM++: Improved Techniques for Training JEM [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Joint Energy-based Model (JEM) is a recently proposed hybrid model that retains strong discriminative power of modern CNN classifiers, while generating samples rivaling the quality of GAN-based approaches. In this paper, we propose a variety of new training procedures and architecture features to improve JEM's accuracy, training stability, and speed ...Xiulong Yang, Shihao Ji 0001openaire +3 more sourcesJEM career launchpad [PDF]
Journal of Experimental Medicine, 2021 JEM has been a launching pad for scientific careers since its inception. Here is a collection of testimonials attesting to the diversity of the scientific community it serves.Anna Bigas, Ivan Zanoni, Matthew R. Hepworth, Stephanie C. Eisenbarth, Seth Lucian Masters, Jonathan Kipnis, Carola G. Vinuesa, Kim L. Good-Jacobson, Stuart G. Tangye, Sayuri Yamazaki, Claire Hivroz, Elia Tait Wojno, Ziv Shulman, Marco Colonna +13 moreopenaire +3 more sourcesDevelopments at The JEM [PDF]
The Journal of Experimental Medicine, 2003 What does The Journal of Experimental Medicine look for in a paper? As the new Executive Editor of the Journal, I expect to be asked this question repeatedly. The Journal is known for its strengths in specific arenas, including immunology and inflammation, microbial pathogenesis, oncology, stem cell biology, hematopoiesis, as well as connective tissue ...openaire +1 more sourceOptimizing the JEM [PDF]
Journal of Experimental Medicine, 2010 Published since 1896, the Journal of Experimental Medicine was long ago established as a reliable source of high-impact findings relevant to human disease. Five months ago, I joined the JEM as Executive Editor, with the aim of making this strong journal even stronger.openaire +1 more sourceStructural studies and functional engineering of NanX: an anhydro‐sialic acid transporter from Escherichia coli
FEBS Open Bio, EarlyView.Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.Michael C. Newton‐Vesty, Kelsi R. Hall, Zachary D. Tillett, Liam S. Turk, James S. Davies, Michael J. Currie, Hamish G. Brown, Sepideh Valimehr, Peter D. Mace, Andrew E. Whitten, Santosh Panjikar, Eric Hanssen, Rachel A. North, Renwick C.J. Dobson +13 morewiley +1 more source
