Zobrazeno 1 - 10
of 53 308
pro vyhledávání: '"Shiraishi A"'
Publikováno v:
Clinical Ophthalmology, Vol Volume 17, Pp 1277-1285 (2023)
Jutaro Nakamura,1,2 Tomoyuki Kamao,1 Arisa Mitani,1 Nobuhisa Mizuki,2 Atsushi Shiraishi1 1Department of Ophthalmology, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan; 2Department of Ophthalmology and Visual Science, Yokoha
Externí odkaz:
https://doaj.org/article/9ef2126dc1be4d938e8e8ff82685d5e9
Publikováno v:
Clinical Ophthalmology, Vol Volume 16, Pp 2057-2067 (2022)
Jutaro Nakamura,1,2 Tomoyuki Kamao,1 Arisa Mitani,1 Nobuhisa Mizuki,2 Atsushi Shiraishi1 1Department of Ophthalmology, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan; 2Department of Ophthalmology and Visual Science, Yokoha
Externí odkaz:
https://doaj.org/article/8c418809e8f747e185dcb09562bb99e2
Training a high-quality Federated Learning (FL) model at the network edge is challenged by limited transmission resources. Although various device scheduling strategies have been proposed, it remains unclear how scheduling decisions affect the FL mod
Externí odkaz:
http://arxiv.org/abs/2411.08607
We provide a rigorous proof of the absence of nontrivial local conserved quantities in all spin-1/2 chains with symmetric nearest-neighbor interaction, except for known integrable systems. This result shows that there are no further integrable system
Externí odkaz:
http://arxiv.org/abs/2411.02163
General spin-1/2 chains with symmetric nearest-neighbor interaction are studied. We rigorously prove that all spin models in this class, except for known integrable systems, are non-integrable in the sense that they possess no nontrivial local conser
Externí odkaz:
http://arxiv.org/abs/2411.02162
Autor:
Carralot, F., Carones, A., Krachmalnicoff, N., Ghigna, T., Novelli, A., Pagano, L., Piacentini, F., Baccigalupi, C., Adak, D., Anand, A., Aumont, J., Azzoni, S., Ballardini, M., Banday, A. J., Barreiro, R. B., Bartolo, N., Basak, S., Basyrov, A., Bersanelli, M., Bortolami, M., Brinckmann, T., Cacciotti, F., Campeti, P., Carinos, E., Casas, F. J., Cheung, K., Clermont, L., Columbro, F., Conenna, G., Coppi, G., Coppolecchia, A., Cuttaia, F., de Bernardis, P., De Lucia, M., Della Torre, S., Di Giorgi, E., Diego-Palazuelos, P., Essinger-Hileman, T., Ferreira, E., Finelli, F., Franceschet, C., Galloni, G., Galloway, M., Gervasi, M., Génova-Santos, R. T., Giardiello, S., Gimeno-Amo, C., Gjerløw, E., Gruppuso, A., Hazumi, M., Henrot-Versillé, S., Hergt, L. T., Hivon, E., Ishino, H., Jost, B., Kohri, K., Lamagna, L., Leloup, C., Lembo, M., Levrier, F., Lonappan, A. I., López-Caniego, M., Luzzi, G., Macias-Perez, J., Martínez-González, E., Masi, S., Matarrese, S., Matsumura, T., Micheli, S., Monelli, M., Montier, L., Morgante, G., Mot, B., Mousset, L., Nagano, Y., Nagata, R., Namikawa, T., Natoli, P., Obata, I., Occhiuzzi, A., Paiella, A., Paoletti, D., Pascual-Cisneros, G., Patanchon, G., Pavlidou, V., Pisano, G., Polenta, G., Porcelli, L., Puglisi, G., Raffuzzi, N., Remazeilles, M., Rubiño-Martín, J. A., Ruiz-Granda, M., Sanghavi, J., Scott, D., Shiraishi, M., Sullivan, R. M., Takase, Y., Tassis, K., Terenzi, L., Tomasi, M., Tristram, M., Vacher, L., van Tent, B., Vielva, P., Weymann-Despres, G., Wollack, E. J., Zannoni, M., Zhou, Y.
Future cosmic microwave background (CMB) experiments are primarily targeting a detection of the primordial $B$-mode polarisation. The faintness of this signal requires exquisite control of systematic effects which may bias the measurements. In this w
Externí odkaz:
http://arxiv.org/abs/2411.02080
Autor:
Adhikary, H., Adrich, P., Allison, K. K., Amin, N., Andronov, E. V., Arsene, I. -C., Bajda, M., Balkova, Y., Battaglia, D., Bazgir, A., Bhosale, S., Bielewicz, M., Blondel, A., Bogomilov, M., Bondar, Y., Bryliński, W., Brzychczyk, J., Buryakov, M., Camino, A. F., Chandak, Y., Ćirković, M., Csanád, M., Cybowska, J., Czopowicz, T., Dalmazzone, C., Davis, N., Dmitriev, A., von Doetinchem, P., Dominik, W., Dumarchez, J., Engel, R., Feofilov, G. A., Fields, L., Fodor, Z., Friend, M., Gaździcki, M., Gollwitzer, K. E., Golosov, O., Golovatyuk, V., Golubeva, M., Grebieszkow, K., Guber, F., Hurh, P. G., Ilieva, S., Ivashkin, A., Izvestnyy, A., Karpushkin, N., Kiełbowicz, M., Kireyeu, V. A., Kolesnikov, R., Kolev, D., Koshio, Y., Kowalski, S., Kozłowski, B., Krasnoperov, A., Kucewicz, W., Kuchowicz, M., Kuich, M., Kurepin, A., László, A., Lewicki, M., Lykasov, G., Lyubushkin, V. V., Maćkowiak-Pawłowska, M., Makhnev, A., Maksiak, B., Malakhov, A. I., Marcinek, A., Marino, A. D., Mathes, H. -J., Matulewicz, T., Matveev, V., Melkumov, G. L., Merzlaya, A., Mik, Ł., Morozov, S., Nagai, Y., Nakadaira, T., Naskręt, M., Nishimori, S., Olivier, A., Ozvenchuk, V., Panova, O., Paolone, V., Petukhov, O., Pidhurskyi, I., Płaneta, R., Podlaski, P., Popov, B. A., Pórfy, B., Prokhorova, D. S., Pszczel, D., Puławski, S., Renfordt, R., Ren, L., Ortiz, V. Z. Reyna, Röhrich, D., Rondio, E., Roth, M., Rozpłochowski, Ł., Rumberger, B. T., Rumyantsev, M., Rustamov, A., Rybczynski, M., Rybicki, A., Rybka, D., Sakashita, K., Schmidt, K., Seryakov, A., Seyboth, P., Shah, U. A., Shiraishi, Y., Shukla, A., Słodkowski, M., Staszel, P., Stefanek, G., Stepaniak, J., Świderski, Ł., Szewiński, J., Szukiewicz, R., Taranenko, A., Tefelska, A., Tefelski, D., Tereshchenko, V., Tsenov, R., Turko, L., Tveter, T. S., Unger, M., Urbaniak, M., Veberič, D., Vitiuk, O., Volkov, V., Wickremasinghe, A., Witek, K., Wójcik, K., Wyszyński, O., Zherebtsova, A. Zaitsev E., Zimmerman, E. D., Zviagina, A.
This paper presents the multiplicity of neutral and charged hadrons produced in 90 GeV$/c$ proton-carbon interactions from a dataset taken by the NA61/SHINE experiment in 2017. Particle identification via dE/dx was performed for the charged hadrons $
Externí odkaz:
http://arxiv.org/abs/2410.23098
We analytically study isothermal spheres in the light of nonextensive statistical mechanics. The equations for the isothermal spheres are derived from the grand partition function of the gravitating particle system in the Tsallis statistical mechanic
Externí odkaz:
http://arxiv.org/abs/2410.21860
When combined with In-Context Learning, a technique that enables models to adapt to new tasks by incorporating task-specific examples or demonstrations directly within the input prompt, autoregressive language models have achieved good performance in
Externí odkaz:
http://arxiv.org/abs/2410.13118
Autor:
Matsukawa, Tatsuya, Shiraishi, Tomohiro, Nishino, Shuichi, Katsuoka, Teruyuki, Takeuchi, Ichiro
Auto Feature Engineering (AFE) plays a crucial role in developing practical machine learning pipelines by automating the transformation of raw data into meaningful features that enhance model performance. By generating features in a data-driven manne
Externí odkaz:
http://arxiv.org/abs/2410.19768