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of 1 341
pro vyhledávání: '"P, CASTERA"'
Autor:
PHENIX Collaboration, Abdulameer, N. J., Acharya, U., Adare, A., Aidala, C., Ajitanand, N. N., Akiba, Y., Akimoto, R., Al-Ta'ani, H., Alexander, J., Angerami, A., Aoki, K., Apadula, N., Aramaki, Y., Asano, H., Aschenauer, E. C., Atomssa, E. T., Awes, T. C., Azmoun, B., Babintsev, V., Bai, M., Bannier, B., Barish, K. N., Bassalleck, B., Bathe, S., Baublis, V., Baumgart, S., Bazilevsky, A., Belmont, R., Berdnikov, A., Berdnikov, Y., Bichon, L., Blankenship, B., Blau, D. S., Bok, J. S., Borisov, V., Boyle, K., Brooks, M. L., Buesching, H., Bumazhnov, V., Butsyk, S., Campbell, S., Castera, P., Chen, C. -H., Chen, D., Chiu, M., Chi, C. Y., Choi, I. J., Choi, J. B., Choi, S., Choudhury, R. K., Christiansen, P., Chujo, T., Chvala, O., Cianciolo, V., Citron, Z., Cole, B. A., Connors, M., Corliss, R., Csanád, M., Csörgő, T., D'Orazio, L., Dairaku, S., Datta, A., Daugherity, M. S., David, G., Denisov, A., Deshpande, A., Desmond, E. J., Dharmawardane, K. V., Dietzsch, O., Ding, L., Dion, A., Donadelli, M., Doomra, V., Drapier, O., Drees, A., Drees, K. A., Durham, J. M., Durum, A., Edwards, S., Efremenko, Y. V., Engelmore, T., Enokizono, A., Esha, R., Eyser, K. O., Fadem, B., Fields, D. E., Finger, Jr., M., Finger, M., Firak, D., Fitzgerald, D., Fleuret, F., Fokin, S. L., Frantz, J. E., Franz, A., Frawley, A. D., Fukao, Y., Fusayasu, T., Gainey, K., Gal, C., Garishvili, A., Garishvili, I., Glenn, A., Gong, X., Gonin, M., Goto, Y., de Cassagnac, R. Granier, Grau, N., Greene, S. V., Perdekamp, M. Grosse, Gunji, T., Guo, L., Guo, T., Gustafsson, H. -Å., Hachiya, T., Haggerty, J. S., Hahn, K. I., Hamagaki, H., Hanks, J., Hashimoto, K., Haslum, E., Hayano, R., Hemmick, T. K., Hester, T., He, X., Hill, J. C., Hodges, A., Hollis, R. S., Homma, K., Hong, B., Horaguchi, T., Hori, Y., Ichihara, T., Iinuma, H., Ikeda, Y., Imrek, J., Inaba, M., Iordanova, A., Isenhower, D., Issah, M., Ivanishchev, D., Jacak, B. V., Javani, M., Jiang, X., Ji, Z., Johnson, B. M., Joo, K. S., Jouan, D., Jumper, D. S., Kamin, J., Kaneti, S., Kang, B. H., Kang, J. H., Kang, J. S., Kapustinsky, J., Karatsu, K., Kasai, M., Kasza, G., Kawall, D., Kazantsev, A. V., Kempel, T., Khanzadeev, A., Kijima, K. M., Kim, B. I., Kim, C., Kim, D. J., Kim, E. -J., Kim, H. J., Kim, K. -B., Kim, Y. -J., Kim, Y. K., Kinney, E., Kiss, Á., Kistenev, E., Klatsky, J., Kleinjan, D., Kline, P., Komatsu, Y., Komkov, B., Koster, J., Kotchetkov, D., Kotov, D., Kovacs, L., Krizek, F., Král, A., Kunde, G. J., Kurgyis, B., Kurita, K., Kurosawa, M., Kwon, Y., Kyle, G. S., Lai, Y. S., Lajoie, J. G., Lebedev, A., Lee, B., Lee, D. M., Lee, J., Lee, K. B., Lee, K. S., Lee, S. H., Lee, S. R., Leitch, M. J., Leite, M. A. L., Leitgab, M., Lewis, B., Lim, S. H., Levy, L. A. Linden, Liu, M. X., Lökös, S., Loomis, D. A., Love, B., Maguire, C. F., Makdisi, Y. I., Makek, M., Manion, A., Manko, V. I., Mannel, E., Masumoto, S., McCumber, M., McGaughey, P. L., McGlinchey, D., McKinney, C., Mendoza, M., Meredith, B., Miake, Y., Mibe, T., Mignerey, A. C., Milov, A., Mishra, D. K., Mitchell, J. T., Mitrankova, M., Mitrankov, Iu., Miyachi, Y., Miyasaka, S., Mohanty, A. K., Mohapatra, S., Moon, H. J., Morrison, D. P., Motschwiller, S., Moukhanova, T. V., Mulilo, B., Murakami, T., Murata, J., Mwai, A., Nagae, T., Nagamiya, S., Nagle, J. L., Nagy, M. I., Nakagawa, I., Nakamiya, Y., Nakamura, K. R., Nakamura, T., Nakano, K., Nattrass, C., Nederlof, A., Nihashi, M., Nouicer, R., Novák, T., Novitzky, N., Nukazuka, G., Nyanin, A. S., O'Brien, E., Ogilvie, C. A., Okada, K., Orosz, M., Oskarsson, A., Ouchida, M., Ozawa, K., Pak, R., Pantuev, V., Papavassiliou, V., Park, B. H., Park, I. H., Park, J. S., Park, S., Park, S. K., Patel, L., Pate, S. F., Pei, H., Peng, J. -C., Pereira, H., Peressounko, D. Yu., Petti, R., Pinkenburg, C., Pisani, R. P., Potekhin, M., Proissl, M., Purschke, M. L., Qu, H., Rak, J., Ravinovich, I., Read, K. F., Reynolds, D., Riabov, V., Riabov, Y., Richardson, E., Richford, D., Roach, D., Roche, G., Rolnick, S. D., Rosati, M., Sahlmueller, B., Saito, N., Sakaguchi, T., Samsonov, V., Sano, M., Sarsour, M., Sawada, S., Sedgwick, K., Seidl, R., Sen, A., Seto, R., Sharma, D., Shein, I., Shibata, T. -A., Shigaki, K., Shimomura, M., Shoji, K., Shukla, P., Sickles, A., Silva, C. L., Silvermyr, D., Sim, K. S., Singh, B. K., Singh, C. P., Singh, V., Slunečka, M., Smith, K. L., Soltz, R. A., Sondheim, W. E., Sorensen, S. P., Sourikova, I. V., Stankus, P. W., Stenlund, E., Stepanov, M., Ster, A., Stoll, S. P., Sugitate, T., Sukhanov, A., Sun, J., Sun, Z., Sziklai, J., Takagui, E. M., Takahara, A., Taketani, A., Tanaka, Y., Taneja, S., Tanida, K., Tannenbaum, M. J., Tarafdar, S., Taranenko, A., Tennant, E., Themann, H., Todoroki, T., Tomášek, L., Tomášek, M., Torii, H., Towell, R. S., Tserruya, I., Tsuchimoto, Y., Tsuji, T., Ujvari, B., Vale, C., van Hecke, H. W., Vargyas, M., Vazquez-Zambrano, E., Veicht, A., Velkovska, J., Virius, M., Vossen, A., Vrba, V., Vznuzdaev, E., Vértesi, R., Wang, X. R., Watanabe, D., Watanabe, K., Watanabe, Y., Watanabe, Y. S., Wei, F., Wei, R., White, S. N., Winter, D., Wolin, S., Woody, C. L., Wysocki, M., Xia, B., Yamaguchi, Y. L., Yang, R., Yanovich, A., Ying, J., Yokkaichi, S., Younus, I., You, Z., Yushmanov, I. E., Zajc, W. A., Zelenski, A.
The PHENIX experiment measured the centrality dependence of two-pion Bose-Einstein correlation functions in $\sqrt{s_{_{NN}}}=200$~GeV Au$+$Au collisions at the Relativistic Heavy Ion Collider at Brookhaven National Laboratory. The data are well repr
Externí odkaz:
http://arxiv.org/abs/2407.08586
Autor:
Castera, Camille, Ochs, Peter
Towards designing learned optimization algorithms that are usable beyond their training setting, we identify key principles that classical algorithms obey, but have up to now, not been used for Learning to Optimize (L2O). Following these principles,
Externí odkaz:
http://arxiv.org/abs/2405.18222
Autor:
Castera, Rémi, Garrido-Lucero, Felipe, Molina, Mathieu, Mauras, Simon, Loiseau, Patrick, Perchet, Vianney
We investigate notions of group fairness in bipartite matching markets involving agents and jobs, where agents are grouped based on sensitive attributes. Employing a geometric approach, we characterize how many agents can be matched in each group, sh
Externí odkaz:
http://arxiv.org/abs/2403.00397
In order to minimize a differentiable geodesically convex function, we study a second-order dynamical system on Riemannian manifolds with an asymptotically vanishing damping term of the form $\alpha/t$. For positive values of $\alpha$, convergence ra
Externí odkaz:
http://arxiv.org/abs/2312.06366
We introduce an autonomous system with closed-loop damping for first-order convex optimization. While, to this day, optimal rates of convergence are almost exclusively achieved by non-autonomous methods via open-loop damping (e.g., Nesterov's algorit
Externí odkaz:
http://arxiv.org/abs/2311.10053
Autor:
Célia Dos Santos, Santiago Castera, José Fernandez, Julieta Soledad Rosales, Franco Crescitelli, Santiago Boughen, Marcelo Iastrebner, Osvaldo Guerrero, Carlos Amell Menco, Mariela Gomez, Jacqueline Gonzalez, Maria Fabiana Alberto, Analía Sanchez-Luceros
Publikováno v:
Hematology, Transfusion and Cell Therapy, Vol 46, Iss 4, Pp 511-515 (2024)
Externí odkaz:
https://doaj.org/article/a1be18641c034be8bc98aff0c29c876f
Autor:
Paoli-Lombardo Romain, Primas Nicolas, Hutter Sébastien, Castera-Ducros Caroline, Jacquet Inès, Verhaeghe Pierre, Azas Nadine, Rathelot Pascal, Vanelle Patrice
Publikováno v:
Heterocyclic Communications, Vol 30, Iss 1, Pp 312-25 (2024)
As part of our ongoing antileishmanial structure–activity relationship study, a structural simplification of the 3‐nitroimidazo[1,2‐a]pyridine ring to a 5-nitroimidazole moiety was conducted. A series of novel 2,4-disubsituted 5-nitroimidazole
Externí odkaz:
https://doaj.org/article/42f0656e44c145f09a7d0e0afbba7a75
Publikováno v:
SIAM Journal on Optimization (2024) 34(1):251--277
We introduce a new dynamical system, at the interface between second-order dynamics with inertia and Newton's method. This system extends the class of inertial Newton-like dynamics by featuring a time-dependent parameter in front of the acceleration,
Externí odkaz:
http://arxiv.org/abs/2301.08726
Autor:
Jeffrey V. Lazarus, William Alazawi, Ron Basuroy, Laurent Castera, Dmitry Estulin, Yiannoula Koulla, Preethy Prasad, Manuel Romero-Gomez, Hirokazu Takahashi, Vincent Wai-Sun Wong, Jörn M. Schattenberg
Publikováno v:
Annals of Hepatology, Vol 30, Iss 1, Pp 101741- (2025)
Introduction and Objectives: Patients increasingly use social media to share and access health-related information and experiences. This study employed social media listening to gain patient-centric insights into metabolic dysfunction-associated stea
Externí odkaz:
https://doaj.org/article/e3efacc841b44f17b0fac32ea64d7667
Autor:
Zobair M. Younossi, Saleh A. AlQahtani, Jesús Funuyet-Salas, Manuel Romero-Gómez, Yusuf Yilmaz, Caglayan Keklikkiran, Khalid Alswat, Ming-Lung Yu, Chun-Jen Liu, Jian-Gao Fan, Ming-Hua Zheng, Patrizia Burra, Sven M. Francque, Laurent Castera, Jörn M. Schattenberg, Philip N. Newsome, Alina M. Allen, Mohamed El-Kassas, Sombat Treeprasertsuk, Saeed Hameed, Vincent Wai-Sun Wong, Shira Zelber-Sagi, Hirokazu Takahashi, Takumi Kawaguchi, Marlen I. Castellanos Fernández, Ajay Duseja, Marco Arrese, Mary Rinella, Ashwani K. Singal, Stuart C. Gordon, Michael Fuchs, Wayne Eskridge, Naim Alkhouri, Kenneth Cusi, Rohit Loomba, Jane Ranagan, Achim Kautz, Janus P. Ong, Marcelo Kugelmas, Yuichiro Eguchi, Moises Diago, Lynn Gerber, Brian Lam, Lisa Fornaresio, Fatema Nader, C. Wendy Spearman, Stuart K. Roberts, Wah-Kheong Chan, Marcelo Silva, Andrei Racila, Pegah Golabi, Prooksa Ananchuensook, Linda Henry, Maria Stepanova, Patrizia Carrieri, Jeffrey V. Lazarus
Publikováno v:
JHEP Reports, Vol 6, Iss 7, Pp 101066- (2024)
Background & Aims: Patients with nonalcoholic fatty liver disease (NAFLD)/metabolic dysfunction-associated steatotic liver disease (MASLD) face a multifaceted disease burden which includes impaired health-related quality of life (HRQL) and potential
Externí odkaz:
https://doaj.org/article/89eb6d0343c440378b078cf55412cc72