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2,369 results on '"Y, Matsuura"'

1. Realization of a quantum neural network using repeat-until-success circuits in a superconducting quantum processor

Author

M. S. Moreira, G. G. Guerreschi, W. Vlothuizen, J. F. Marques, J. van Straten, S. P. Premaratne, X. Zou, H. Ali, N. Muthusubramanian, C. Zachariadis, J. van Someren, M. Beekman, N. Haider, A. Bruno, C. G. Almudever, A. Y. Matsuura, and L. DiCarlo

Subjects
Physics, QC1-999, Electronic computers. Computer science, QA75.5-76.95
Abstract

Abstract Artificial neural networks are becoming an integral part of digital solutions to complex problems. However, employing neural networks on quantum processors faces challenges related to the implementation of non-linear functions using quantum circuits. In this paper, we use repeat-until-success circuits enabled by real-time control-flow feedback to realize quantum neurons with non-linear activation functions. These neurons constitute elementary building blocks that can be arranged in a variety of layouts to carry out deep learning tasks quantum coherently. As an example, we construct a minimal feedforward quantum neural network capable of learning all 2-to-1-bit Boolean functions by optimization of network activation parameters within the supervised-learning paradigm. This model is shown to perform non-linear classification and effectively learns from multiple copies of a single training state consisting of the maximal superposition of all inputs.

Published
2023
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5. The ABCflux database: Arctic–boreal CO2 flux observations and ancillary information aggregated to monthly time steps across terrestrial ecosystems

Author

A.-M. Virkkala​​​​​​​, S. M. Natali, B. M. Rogers, J. D. Watts, K. Savage, S. J. Connon, M. Mauritz, E. A. G. Schuur, D. Peter, C. Minions, J. Nojeim, R. Commane, C. A. Emmerton, M. Goeckede, M. Helbig, D. Holl, H. Iwata, H. Kobayashi, P. Kolari, E. López-Blanco, M. E. Marushchak, M. Mastepanov, L. Merbold, F.-J. W. Parmentier, M. Peichl, T. Sachs, O. Sonnentag, M. Ueyama, C. Voigt, M. Aurela, J. Boike, G. Celis, N. Chae, T. R. Christensen, M. S. Bret-Harte, S. Dengel, H. Dolman, C. W. Edgar, B. Elberling, E. Euskirchen, A. Grelle, J. Hatakka, E. Humphreys, J. Järveoja, A. Kotani, L. Kutzbach, T. Laurila, A. Lohila, I. Mammarella, Y. Matsuura, G. Meyer, M. B. Nilsson, S. F. Oberbauer, S.-J. Park, R. Petrov, A. S. Prokushkin, C. Schulze, V. L. St. Louis, E.-S. Tuittila, J.-P. Tuovinen, W. Quinton, A. Varlagin, D. Zona, and V. I. Zyryanov

Subjects
Environmental sciences, GE1-350, Geology, QE1-996.5
Abstract

Past efforts to synthesize and quantify the magnitude and change in carbon dioxide (CO2) fluxes in terrestrial ecosystems across the rapidly warming Arctic–boreal zone (ABZ) have provided valuable information but were limited in their geographical and temporal coverage. Furthermore, these efforts have been based on data aggregated over varying time periods, often with only minimal site ancillary data, thus limiting their potential to be used in large-scale carbon budget assessments. To bridge these gaps, we developed a standardized monthly database of Arctic–boreal CO2 fluxes (ABCflux) that aggregates in situ measurements of terrestrial net ecosystem CO2 exchange and its derived partitioned component fluxes: gross primary productivity and ecosystem respiration. The data span from 1989 to 2020 with over 70 supporting variables that describe key site conditions (e.g., vegetation and disturbance type), micrometeorological and environmental measurements (e.g., air and soil temperatures), and flux measurement techniques. Here, we describe these variables, the spatial and temporal distribution of observations, the main strengths and limitations of the database, and the potential research opportunities it enables. In total, ABCflux includes 244 sites and 6309 monthly observations; 136 sites and 2217 monthly observations represent tundra, and 108 sites and 4092 observations represent the boreal biome. The database includes fluxes estimated with chamber (19 % of the monthly observations), snow diffusion (3 %) and eddy covariance (78 %) techniques. The largest number of observations were collected during the climatological summer (June–August; 32 %), and fewer observations were available for autumn (September–October; 25 %), winter (December–February; 18 %), and spring (March–May; 25 %). ABCflux can be used in a wide array of empirical, remote sensing and modeling studies to improve understanding of the regional and temporal variability in CO2 fluxes and to better estimate the terrestrial ABZ CO2 budget. ABCflux is openly and freely available online (Virkkala et al., 2021b, https://doi.org/10.3334/ORNLDAAC/1934).

Published
2022
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10. Variational preparation of finite-temperature states on a quantum computer

Author

R. Sagastizabal, S. P. Premaratne, B. A. Klaver, M. A. Rol, V. Negîrneac, M. S. Moreira, X. Zou, S. Johri, N. Muthusubramanian, M. Beekman, C. Zachariadis, V. P. Ostroukh, N. Haider, A. Bruno, A. Y. Matsuura, and L. DiCarlo

Subjects
Physics, QC1-999, Electronic computers. Computer science, QA75.5-76.95
Abstract

Abstract The preparation of thermal equilibrium states is important for the simulation of condensed matter and cosmology systems using a quantum computer. We present a method to prepare such mixed states with unitary operators and demonstrate this technique experimentally using a gate-based quantum processor. Our method targets the generation of thermofield double states using a hybrid quantum-classical variational approach motivated by quantum-approximate optimization algorithms, without prior calculation of optimal variational parameters by numerical simulation. The fidelity of generated states to the thermal-equilibrium state smoothly varies from 99 to 75% between infinite and near-zero simulated temperature, in quantitative agreement with numerical simulations of the noisy quantum processor with error parameters drawn from experiment.

Published
2021
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13. Enhancing a Near-Term Quantum Accelerator's Instruction Set Architecture for Materials Science Applications

Author

Xiang Zou, Shavindra P. Premaratne, M. Adriaan Rol, Sonika Johri, Viacheslav Ostroukh, David J. Michalak, Roman Caudillo, James S. Clarke, Leonardo DiCarlo, and A. Y. Matsuura

Subjects
Computer architecture, microarchitecture, quantum algorithm, quantum circuit, quantum computing, quantum gate, Atomic physics. Constitution and properties of matter, QC170-197, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract

Quantum computers with tens to hundreds of noisy qubits are being developed today. To be useful for real-world applications, we believe that these near-term systems cannot simply be scaled-down non-error-corrected versions of future fault-tolerant large-scale quantum computers. These near-term systems require specific architecture and design attributes to realize their full potential. To efficiently execute an algorithm, the quantum coprocessor must be designed to scale with respect to qubit number and to maximize useful computation within the qubits' decoherence bounds. In this work, we employ an application-system-qubit co-design methodology to architect a near-term quantum coprocessor. To support algorithms from the real-world application area of simulating the quantum dynamics of a material system, we design a (parameterized) arbitrary single-qubit rotation instruction and a two-qubit entangling controlled-Z instruction. We introduce dynamic gate set and paging mechanisms to implement the instructions. To evaluate the functionality and performance of these two instructions, we implement a two-qubit version of an algorithm to study a disorder-induced metal-insulator transition and run 60 random instances of it, each of which realizes one disorder configuration and contains 40 two-qubit instructions (or gates) and 104 single-qubit instructions. We observe the expected quantum dynamics of the time-evolution of this system.

Published
2020
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16. Risk profiles and one-year outcomes of patients with newly diagnosed atrial fibrillation in India: Insights from the GARFIELD-AF Registry

Author

Jitendra PS. Sawhney, Veerappa A. Kothiwale, Vikas Bisne, Rajashekhar Durgaprasad, Praveen Jadhav, Manoj Chopda, Velam Vanajakshamma, Ramdhan Meena, Govindan Vijayaraghavan, Kamaldeep Chawla, Jagan Allu, Karen S. Pieper, A. John Camm, Ajay K. Kakkar, Jean-Pierre Bassand, David A. Fitzmaurice, Samuel Z. Goldhaber, Shinya Goto, Sylvia Haas, Werner Hacke, Lorenzo G. Mantovani, Frank Misselwitz, Alexander G.G. Turpie, Martin van Eickels, Freek W.A. Verheugt, Gloria Kayani, Keith A.A. Fox, Bernard J. Gersh, Hector Lucas Luciardi, Harry Gibbs, Marianne Brodmann, Frank Cools, Antonio Carlos Pereira Barretto, Stuart J. Connolly, Alex Spyropoulos, John Eikelboom, Ramon Corbalan, Dayi Hu, Petr Jansky, Jørn Dalsgaard Nielsen, Hany Ragy, Pekka Raatikainen, Jean-Yves Le Heuzey, Harald Darius, Matyas Keltai, Sanjay Kakkar, Jitendra Pal Singh Sawhney, Giancarlo Agnelli, Giuseppe Ambrosio, Yukihiro Koretsune, Carlos Jerjes Sánchez Díaz, Hugo Ten Cate, Dan Atar, Janina Stepinska, Elizaveta Panchenko, Toon Wei Lim, Barry Jacobson, Seil Oh, Xavier Viñolas, Marten Rosenqvist, Jan Steffel, Pantep Angchaisuksiri, Ali Oto, Alex Parkhomenko, Wael Al Mahmeed, David Fitzmaurice, D.Y. Hu, K.N. Chen, Y.S. Zhao, H.Q. Zhang, J.Z. Chen, S.P. Cao, D.W. Wang, Y.J. Yang, W.H. Li, Y.H. Yin, G.Z. Tao, P. Yang, Y.M. Chen, S.H. He, Ying Wang, Yong Wang, G.S. Fu, X. Li, T.G. Wu, X.S. Cheng, X.W. Yan, R.P. Zhao, M.S. Chen, L.G. Xiong, P. Chen, Y. Jiao, Y. Guo, L. Xue, F.Z. Wang, H. Li, Z.M. Yang, C.L. Bai, J. Chen, J.Y. Chen, X. Chen, S. Feng, Q.H. Fu, X.J. Gao, W.N. Guo, R.H. He, X.A. He, X.S. Hu, X.F. Huang, B. Li, J. Li, L. Li, Y.H. Li, T.T. Liu, W.L. Liu, Y.Y. Liu, Z.C. Lu, X.L. Luo, T.Y. Ma, J.Q. Peng, X. Sheng, X.J. Shi, Y.H. Sun, G. Tian, K. Wang, L. Wang, R.N. Wu, Q. Xie, R.Y. Xu, J.S. Yang, L.L. Yang, Q. Yang, Y. Ye, H.Y. Yu, J.H. Yu, T. Yu, H. Zhai, Q. Zhan, G.S. Zhang, Q. Zhang, R. Zhang, Y. Zhang, W.Y. Zheng, B. Zhou, Z.H. Zhou, X.Y. Zhu, S. Kakkar, J.P.S. Sawhney, P. Jadhav, R. Durgaprasad, A.G. Ravi Shankar, R.K. Rajput, K. Bhargava, R. Sarma, A. Srinivas, D. Roy, U.M. Nagamalesh, M. Chopda, R. Kishore, G. Kulkarni, P. Chandwani, R.A. Pothiwala, M. Padinhare Purayil, S. Shah, K. Chawla, V.A. Kothiwale, B. Raghuraman, G. Vijayaraghavan, V.M. Vijan, G. Bantwal, V. Bisne, A. Khan, J.B. Gupta, S. Kumar, D. Jain, S. Abraham, D. Adak, A. Barai, H. Begum, P. Bhattacharjee, M. Dargude, D. Davies, B. Deshpande, P. Dhakrao, V. Dhyani, S. Duhan, M. Earath, A. Ganatra, S. Giradkar, V. Jain, R. Karthikeyan, L. Kasala, S. Kaur, S. Krishnappa, A. Lawande, B. Lokesh, N. Madarkar, R. Meena, P. More, D. Naik, K. Prashanth, M. Rao, N.M. Rao, N. Sadhu, D. Shah, M. Sharma, P. Shiva, S. Singhal, S. Suresh, V. Vanajakshamma, S.G. Panse, Y. Koretsune, S. Kanamori, K. Yamamoto, K. Kumagai, Y. Katsuda, K. Sadamatsu, F. Toyota, Y. Mizuno, I. Misumi, H. Noguchi, S. Ando, T. Suetsugu, M. Minamoto, Hiroshi Oda, K. Shiraishi, S. Adachi, K. Chiba, H. Norita, M. Tsuruta, T. Koyanagi, H. Ando, T. Higashi, K. Okada, S. Azakami, S. Komaki, K. Kumeda, T. Murayama, J. Matsumura, Y. Oba, R. Sonoda, K. Goto, K. Minoda, Y. Haraguchi, H. Suefuji, H. Miyagi, H. Kato, Tadashi Nakamura, Tsugihiro Nakamura, H. Nandate, R. Zaitsu, Yoshihisa Fujiura, A. Yoshimura, H. Numata, J. Ogawa, H. Tatematsu, Y. Kamogawa, K. Murakami, Y. Wakasa, M. Yamasawa, H. Maekawa, S. Abe, H. Kihara, S. Tsunoda, Katsumi Saito, Kazuyuki Saito, T. Fudo, K. Obunai, H. Tachibana, I. Oba, T. Kuwahata, S. Higa, M. Gushiken, T. Eto, H. Yoshida, D. Ikeda, Yoshitake Fujiura, M. Ishizawa, M. Nakatsuka, K. Murata, C. Ogurusu, M. Shimoyama, M. Akutsu, I. Takamura, F. Hoshino, N. Yokota, T. Iwao, K. Tsuchida, M. Takeuchi, Y. Hatori, Y. Kitami, Yoichi Nakamura, R. Oyama, M. Ageta, Hiroyuki Oda, Y. Go, K. Mishima, T. Unoki, S. Morii, Yuhei Shiga, H. Sumi, T. Nagatomo, K. Sanno, K. Fujisawa, Y. Atsuchi, T. Nagoshi, T. Seto, T. Tabuchi, M. Kameko, K. Nii, K. Oshiro, H. Takezawa, S. Nagano, N. Miyamoto, M. Iwaki, Yuichiro Nakamura, M. Fujii, M. Okawa, Masahiko Abe, Masatake Abe, Mitsunori Abe, T. Saito, T. Mito, K. Nagao, J. Minami, T. Mita, I. Sakuma, T. Taguchi, S. Marusaki, H. Doi, M. Tanaka, T. Fujito, M. Matsuta, T. Kusumoto, S. Kakinoki, K. Ashida, N. Yoshizawa, J. Agata, O. Arasaki, M. Manita, M. Ikemura, S. Fukuoka, H. Murakami, S. Matsukawa, Y. Hata, T. Taniguchi, T. Ko, H. Kubo, M. Imamaki, M. Akiyama, M. Inagaki, H. Odakura, T. Ueda, Y. Katsube, A. Nakata, H. Watanabe, M. Techigawara, M. Igarashi, K. Taga, T. Kimura, S. Tomimoto, M. Shibuya, M. Nakano, K. Ito, T. Seo, S. Hiramitsu, H. Hosokawa, M. Hoshiai, M. Hibino, K. Miyagawa, Hajime Horie, N. Sugishita, Yukio Shiga, A. Soma, K. Neya, Tetsuro Yoshida, Tomoki Yoshida, M. Mizuguchi, M. Ishiguro, T. Minagawa, M. Wada, H. Mukawa, F. Okuda, S. Nagasaka, Y. Abe, Sen Adachi, Susumu Adachi, T. Adachi, K. Akahane, T. Amano, K. Aoki, T. Aoyama, H. Arai, S. Arima, T. Arino, H. Asano, T. Asano, J. Azuma, T. Baba, T. Betsuyaku, H. Chibana, H. Date, J. Doiuchi, Y. Emura, M. Endo, Y. Fujii, R. Fujiki, A. Fujisawa, Y. Fujisawa, T. Fukuda, T. Fukui, N. Furukawa, T. Furukawa, W. Furumoto, T. Goto, M. Hamaoka, N. Hanazono, K. Hasegawa, T. Hatsuno, Y. Hayashi, K. Higuchi, K. Hirasawa, H. Hirayama, M. Hirose, S. Hirota, M. Honda, Hideki Horie, T. Ido, O. Iiji, H. Ikeda, K. Ikeda, K. Ikeoka, M. Imaizumi, H. Inaba, T. Inoue, F. Iseki, A. Ishihara, N. Ishioka, N. Ito, T. Iwase, H. Kakuda, J. Kamata, H. Kanai, H. Kanda, M. Kaneko, H. Kano, T. Kasai, T. Kato, Y. Kato, Y. Kawada, K. Kawai, K. Kawakami, S. Kawakami, T. Kawamoto, S. Kawano, J. Kim, T. Kira, H. Kitazawa, H. Kitazumi, T. Kito, T. Kobayashi, T. Koeda, J. Kojima, H. Komatsu, I. Komatsu, Y. Koshibu, T. Kotani, T. Kozuka, Y. Kumai, T. Kumazaki, I. Maeda, K. Maeda, Y. Maruyama, S. Matsui, K. Matsushita, Y. Matsuura, K. Mineoi, H. Mitsuhashi, N. Miura, S. Miyaguchi, S. Miyajima, H. Miyamoto, A. Miyashita, S. Miyata, I. Mizuguchi, A. Mizuno, T. Mori, O. Moriai, K. Morishita, O. Murai, Sho Nagai, Shunichi Nagai, E. Nagata, H. Nagata, A. Nakagomi, S. Nakahara, M. Nakamura, R. Nakamura, N. Nakanishi, T. Nakayama, R. Nakazato, T. Nanke, J. Nariyama, Y. Niijima, H. Niinuma, Y. Nishida, Y. Nishihata, K. Nishino, H. Nishioka, K. Nishizawa, I. Niwa, K. Nomura, S. Nomura, M. Nozoe, T. Ogawa, N. Ohara, M. Okada, K. Okamoto, H. Okita, M. Okuyama, H. Ono, T. Ono, Y. Onuki Pearce, S. Oriso, A. Ota, E. Otaki, Y. Saito, H. Sakai, N. Sakamoto, Y. Sakamoto, Y. Samejima, Y. Sasagawa, H. Sasaguri, A. Sasaki, T. Sasaki, Kazuki Sato, Kiyoharu Sato, M. Sawano, S. Seki, Y. Sekine, Y. Seta, K. Sezaki, N. Shibata, Y. Shiina, H. Shimono, Y. Shimoyama, T. Shindo, H. Shinohara, R. Shinohe, T. Shinozuka, T. Shirai, T. Shiraiwa, Y. Shozawa, T. Suga, C. Sugimoto, Kazuo Suzuki, Keita Suzuki, Shu Suzuki, Shunji Suzuki, Susumu Suzuki, Y. Suzuki, M. Tada, A. Taguchi, T. Takagi, Y. Takagi, K. Takahashi, S. Takahashi, H. Takai, C. Takanaka, S. Take, H. Takeda, K. Takei, K. Takenaka, T. Tana, G. Tanabe, K. Taya, H. Teragawa, S. Tohyo, S. Toru, Y. Tsuchiya, T. Tsuji, K. Tsuzaki, H. Uchiyama, O. Ueda, Y. Ueyama, N. Wakaki, T. Wakiyama, T. Washizuka, M. Watanabe, T. Yamada, T. Yamagishi, H. Yamaguchi, Kenichi Yamamoto, Kentaro Yamamoto, Kunihiko Yamamoto, T. Yamamoto, M. Yamaura, M. Yamazoe, K. Yasui, Y. Yokoyama, K. Yoshida, T.W. Lim, C.K. Ching, C.G. Foo, J.H. Chow, D.D. Chen, F.R. Jaufeerally, Y.M. Lee, G. Lim, W.T. Lim, S. Thng, S.Y. Yap, C. Yeo, S. Oh, H.N. Pak, J.-B. Kim, J.H. Kim, S.-W. Jang, D.H. Kim, D.R. Ryu, S.W. Park, D.-K. Kim, D.J. Choi, Y.S. Oh, M.-C. Cho, S.-H. Kim, H.-K. Jeon, D.-G. Shin, J.S. Park, H.K. Park, S.-J. Han, J.H. Sung, J.-G. Cho, G.-B. Nam, Y.K. On, H.E. Lim, J.J. Kwak, T.-J. Cha, T.J. Hong, S.H. Park, J.H. Yoon, N.-H. Kim, K.-S. Kim, B.C. Jung, G.-S. Hwang, C.-J. Kim, D.B. Kim, J.J. Ahn, H.J. An, H. Bae, A.L. Baek, W.J. Chi, E.A. Choi, E.H. Choi, H.K. Choi, H.S. Choi, S. Han, E.S. Heo, K.O. Her, S.W. Hwang, E.M. Jang, H.-S. Jang, S. Jang, H.-G. Jeon, S.R. Jeon, Y.R. Jeon, H.K. Jeong, I.-A. Jung, Hyeon Jeong Kim, Hyun Ju Kim, Ji Seon Kim, Jung Sook Kim, J.A. Kim, K.T. Kim, M.S. Kim, Sang Hee Kim, Sang Hyun Kim, Y.-I. Kim, C.S. Lee, E.H. Lee, G.H. Lee, H.Y. Lee, H.-Y. Lee, K.H. Lee, K.R. Lee, M.S. Lee, M.-Y. Lee, R.W. Lee, S.E. Lee, S.H. Lee, S. Lee, W.Y. Lee, I.K. Noh, A.R. Park, B.R. Park, H.N. Park, J.H. Park, M. Park, Y. Park, S.-Y. Seo, J. Shim, J.H. Sim, Y.M. Sohn, W.S. Son, Y.S. Son, H.J. Song, H.K. Wi, J.J. Woo, S. Ye, K.H. Yim, K.M. Yoo, E.J. Yoon, S.Y. Yun, P. Angchaisuksiri, S. Chawanadelert, P. Mongkolwongroj, K. Kanokphatcharakun, S. Cheewatanakornkul, T. Laksomya, S. Pattanaprichakul, T. Chantrarat, S. Rungaramsin, S. Silaruks, W. Wongcharoen, K. Siriwattana, K. Likittanasombat, P. Katekangplu, W. Boonyapisit, D. Cholsaringkarl, B. Chatlaong, P. Chattranukulchai, Y. Santanakorn, P. Hutayanon, P. Khunrong, T. Bunyapipat, S. Jai-Aue, P. Kaewsuwanna, P. Bamungpong, S. Gunaparn, S. Hongsuppinyo, R. Inphontan, R. Khattaroek, K. Khunkong, U. Kitmapawanont, C. Kongsin, B. Naratreekoon, S. Ninwaranon, J. Phangyota, A. Phrommintikul, P. Phunpinyosak, K. Pongmorakot, S. Poomiphol, N. Pornnimitthum, S. Pumprueg, S. Ratchasikaew, K. Sanit, K. Sawanyawisuth, B. Silaruks, R. Sirichai, A. Sriwichian, W. Suebjaksing, P. Sukklad, T. Suttana, A. Tangsirira, O. Thangpet, W. Tiyanon, Y. Vorasettakarnkij, T. Wisaratapong, W. Wongtheptien, A. Wutthimanop, S. Yawila, A. Oto, A. Altun, I. Ozdogru, K. Ozdemir, O. Yilmaz, A. Aydinlar, M.B. Yilmaz, E. Yeter, Z. Ongen, M. Cayli, H. Pekdemir, M. Ozdemir, M. Sucu, T. Sayin, M. Demir, H. Yorgun, M. Ersanli, E. Okuyan, D. Aras, H. Abdelrahman, O. Aktas, D. Alpay, F. Aras, M.F. Bireciklioglu, S. Budeyri, M. Buyukpapuc, S. Caliskan, M. Esen, M.A. Felekoglu, D. Genc, B. Ikitimur, E.B. Karaayvaz, S. Kılıç Karataş, S. Okutucu, E. Ozcelik, A. Quisi, H. Sag, L. Sahiner, B.Y. Sayin, T. Seker, D. Uzun Alkan, E. Yildirim, R. Yildirim, F. Yilmaz, V. Yuksekdag, H.L. Luciardi, N. Vensentini, A.C. Ingaramo, G.A. Sambadaro, V. Fernandez Caputi, S.G. Berman, P. Dragotto, A.J. Kleiban, N. Centurion, G. Giacomi, R.A. Ahuad Guerrero, D. Conde, G. Zapata, L.A. Di Paola, J.L. Ramos, R.D. Dran, J. Egido, A.A. Fernandez, M.J. Fosco, S. Sassone, V.A. Sinisi, L.R. Cartasegna, M.A. Berli, O.A. Gomez Vilamajo, F. Ferroni, E.D. Alaguibe, A. Alvarez D'Amelio, C. Arabetti, L. Arias, J.A. Belardi, L. Bergesio, F. Berli, M. Berli, S. Borchowiec, C. Buzzetti, R. Cabrini, V. Campisi, A.L. Cappi, R. Carrizo, F. Colombo Berra, J.P. Costabel, O.J.A. Costamagna, A.A. Damonte, I.N. De Urquiza, F. Diez, M.F. Edén, M. Fanuele, F. Fernandez Voena, M. Foa Torres, C. Funosas, M.P. Giacomi, C.H. Gimenez, E.P. Gurfinkel, M. de L.M. Had, V. Hansen, A.D. Hrabar, M. Ingratta, A. Lopez, G. Maehara, L. Maffei, A. Martinelli, C. Martinelli, J. Matkovich, B. Mautner, A. Meirino, R. Munguia, A. Navarro, V. Novas, G. Perez Prados, J. Pontoriero, R.N. Potito, C. Ricotti, M.A. Rodriguez, F. Rolandi, M.E. Said Palladino, M. Salinger, L.S. Sanziani, P.O. Schygiel, A. Sossich, J.F. Tinto, L. Tonelli, A.L. Tufare, M. Vallejo, M.E. Yunis, M. Zillo, F.J. Zurbrigk, A.C.P. Barretto, D.C. Sobral Filho, J. Jaber, D. Armaganijan, J. Faria Neto, A. Steffens, W. Kunz Sebba Barroso de Souza, J.D. de Souza Neto, J.M. Ribeiro, M. Silveira Teixeira, P.R. Ferreira Rossi, L. Pires, D. Moreira, J.C. Moura Jorge, A. Menezes Lorga Filho, L.C. Bodanese, M. Westerlund Montera, C.H. Del Carlo, T. Da Rocha Rodrigues, F.A. Alves da Costa, A. Lopes, R. Lopes, G.R. Araújo, E.R. Fernandes Manenti, J.F. Kerr Saraiva, J.C. Ferreira Braga, A. Negri, L. Souto, C. Moncada, D. Bertolim Precoma, F. Roquette, G. Reis, R.A. Ramos Filho, E. Lanna Figueiredo, R. Vieira Botelho, C. Munhoz da Fontoura Tavares, C.R. Costantini Frack, J. Abdalla Saad, H.C. Finimundi, C. Pisani, D. Chemello, M. Pereira Martins, C.C. Broilo França, F. Alban, G.B. Aranha Rosito, J.B. de Moura Xavier Moraes Junior, R.T. Tumelero, L. Nigro Maia, R. Simões de Almeida, N.C. do Carmo Borges, L.G. Gomes Ferreira, P. Agliardi, J. Alves de Oliveira Gomes, V. Araujo, M. Arruda Nakazone, T. Barbosa, S. Barroso, E. Belisario Falchetto, H. Bellotti Lopes, M.A. Benez Teixeira Lemos, G. Biazus, L. Borges Queiroz, F.E. Camazzola, M. Caporale, S. Cardoso Boscato, F. Chieza, M.O. Chokr, R. Clemente Mingireanov, N. Codonho Góes, C. Correa, M. Costa, C. Costantini Ortiz, L.S. da Silva, F. da Silva Paulitsch, J.A. da Silveira, E. Daros, G.R. de Araújo, M.I. Del Monaco, C. Dias, M.A. Dias, A.P. Drummond Wainstein, P. Ely Pizzato, D.C. Esteves, P. Fabri, T. 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Almeida Fernández, N. Del Val Plana, E. Escrivá Montserrat, J.J. Montero Alía, M. Barreda González, M.A. Moleiro Oliva, J. Iglesias Sanmartín, M. Jiménez González, M. Rodriguez Álvarez, J. Herreros Melenchon, T. Ripoll Vera, F. Ridocci Soriano, L. Garcia Riesco, M.D. Marco Macian, J. Quiles Granado, M. Jimenez Navarro, J. Cosin Sales, J.V. Vaquer Perez, M. Vazquez Caamano, M.F. Arcocha Torres, G. Marcos Gomez, A. Iñiguez Romo, M.A. Prieto Diaz, Carmela Alonso, Concepcion Alonso, D. Alvarez, M. Alvarez, M. Amaro, N. Andere, J. Aracil Villar, R. Armitano Ochoa, A. Austria, S. Barbeira, E. Barraquer Feu, A. Bartes, V. Becerra Munoz, F.J. Bermudez Jimenez, A. Branjovich Tijuan, J. Cabeza Ramirez, M. Cabrera Ramos, E. Calvo Martinez, M. Campo Moreno, G. Cancho Corchado, M. Casanova Gil, M. Castillo Orive, D. Castro Fernandez, M. Cebollada del Misterio, R. Codinachs Alsina, A. Cortada Cabrera, J. Costa Pinto Prego de Faria, S. Costas, M.I. Cotilla Marco, M. Dachs, C.M. Diaz Lopez, A. Domenech Borras, A. Elorriaga Madariaga, A. Espallargas, M. Fernandez, E. Fernandez Escobar, E. Fernandez Mas, A. Ferrer, J. Fosch, M. Garcia Bermudez, V. Garcia Millan, M. Gavira Saenz, C. Gines Garcia, C. Gomez, Y. Gomez Perez, A. Gonzales Segovia, P. Gonzalez, L. Grigorian, A. Guerrero Molina, M. del C. Gutierrez del Val, B. Herrero Maeso, E. Hevia Rodriguez, A. Iglesias Garcia, M.J. Jimenez Fernandez, B. Jimeno Besa, P. Juan Salvadores, M.B. Lage Bouzamayor, I. Lasuncion, L.E. Lezcano Gort, M. Llobet Molina, M. Lopez, A. Manzanal Rey, J. Mara Guerra, S. Marcus, A. Martin Vila, M. Martinez Mena, P. Mazon, F. Mendez Zurita, G. Millán, M. Molina, P. Montero Alia, D. Montes, M. Moure Gonzalez, R.B. Munoz Munoz, A. Negrete Palma, H.N. Orellana Figueroa, V.M. Ortega, C. Ortiz Cortes, D. Otero Tomera, N. Palomo Merchan, I. Pareja Ibar, E. Pena Garcia, M. Pereda Armayor, M. Perez Carasa, I. Prieto, V. Quintern, R. Renom, L.M. Rincon Diaz, V. Rios, L. Riquelme Sola, R. Rivera, X. Robiro Robiro, M. Roca, C. Roca Saumell, C. Rodrigo, E. Rodriguez, M. Rodriguez Garcia, S. Saez Jimenez, P. Sanchez Calderon, L. Sanchez Mendez, S. Sanchez Parra, C. Santolaya, M.R. Senan Sanz, A. Seoane Blanco, E. Serralvo, N. Sierra, C. Simon Valero, J. Sorribes Lopez, M. Teixido Fontanillas, M. Terns Riera, G. Tobajas, C. Torres, J. Torres Marques, M. Ubeda Pastor, M. Rosenqvist, A. Wirdby, J. Linden, K. Henriksson, M. Elmersson, A. Egilsson, U. Börjesson, G. Svärd, B. Liu, A. Lindh, L.-B. Olsson, M. Gustavsson, Lars Andersson, Lisbeth Andersson, L. Benson, C. Bothin, A. Hajimirsadeghi, K. Kadir, M. Ericsson, A. Ohlsson, H. Lindvall, P. Svensson, K. Thorne, H. Handel, P. Platonov, B. Eriksson, I. Timberg, K. Romberg, M. Crisby, J.-E. Karlsson, S.A. Jensen, A. Andersson, L. Malmqvist, B. Martinsson, F. Bernsten, J. Engdahl, J. Thulin, A. Hot-Bjelac, P. Stalby, H. Aaröe, E. Ahbeck, H. Ahlmark, F. Al-Khalili, G. Bonkowski, S. Dzeletovic, A.-B. Ekstrand, G.-B. Eriksson, K. Floren, C. Grässjö, S. Hahn, P. Jaensson, B. Jansson, J.-H. Jansson, R.-M. Kangert, A. Koch, D. Kusiak, A. Lettenström, A. Lindberg, C.-J. Lindholm, A. Mannermyr, K. Mansson, M. Millborg, C. Nilsson, A.-M. Ohlin, A. Olofsson, A. Osberg, A. Pedersen, K. Risbecker, K. Rosenberg, J. Samuelsson, M. Shayesteh, K. Skoglund, M. Stjernberg, C. Thorsen, J. Steffel, J.H. Beer, J. Debrunner, D. Amstutz, J. Bruegger, G. Elise, A. Grau, A. Guinand, I. Henriette, E. Saga, S. Winnik, A. Parkhomenko, I. Rudyk, V. Tseluyko, O. Karpenko, S. Zhurba, I. Kraiz, I. Kupnovytska, N. Serediuk, Y. Mostovoy, O. Ushakov, O. Koval, I. Kovalskyi, Y. Svyshchenko, O. Sychov, M. Stanislavchuk, O. Kraydashenko, A. Yagensky, S. Tykhonova, I. Fushtey, R. Belegai, G. Berko, L. Burdeuna, O. Chabanna, I. Daniuk, A. Ivanov, E. Kamenska, P. Kaplan, O. Khyzhnyak, S. Kizim, O. Matova, O. Medentseva, V. Mochonyi, M. Mospan, V. Nemtsova, T. Ovdiienko, O. Palamarchuk, M. Pavelko, R. Petrovskyy, D. Plevak, O. Proshak, S. Pyvovar, L. Rasputina, O. Romanenko, O. Romanova, A. Sapatyi, O. Shumakov, R. Stets, L. Todoriuk, V. Varenov, D. Fitzmaurice, N. Chauhan, D. Goodwin, P. Saunders, R. Evans, J. Leese, P.S. Jhittay, A. Ross, M.S. Kainth, G. Pickavance, J. McDonnell, A. Williams, T. Gooding, H. Wagner, S. Suryani, A. Singal, S. Sircar, R. Bilas, P. Hutchinson, A. Wakeman, M. Stokes, N. Paul, M. Aziz, C. Ramesh, P. Wilson, S. Franklin, S. Fairhead, J. Thompson, V. St Joseph, G. Taylor, D. Tragen, D. Seamark, C. Paul, M. Richardson, A. Jefferies, H. Sharp, H. Jones, C. Giles, M. Page, O. Oginni, J. Aldegather, S. Wetherwell, W. Lumb, P. Evans, F. Scouller, N. Macey, Y. Stipp, R. West, S. Thurston, P. Wadeson, J. Matthews, P. Pandya, A. Gallagher, T. Railton, B. Sinha, D. Russell, J.A. Davies, P. Ainsworth, C.P. Jones, P. Weeks, J. Eden, D. Kernick, W. Murdoch, L. Lumley, R.P. Patel, S.W. Wong, M. Saigol, K. Ladha, K. Douglas, D.F. Cumberlidge, C. Bradshaw, G. Van Zon, K.P. Jones, M.J. Thomas, E. Watson, B. Sarai, N. Ahmad, W. Willcock, J. Cairns, S. Sathananthan, N. de Kare-Silver, A. Gilliland, E. Strieder, A. Howitt, B. Vishwanathan, N. Bird, D. Gray, M. Clark, J. Bisatt, J. Litchfield, E. Fisher, T. Fooks, A.R. Kelsall, E. Alborough, J. Wakeling, M. Parfitt, K. Milne, S. Rogers, R. Priyadharshan, J.L. Oliver, E. Davies, S. Abushal, M. Jacobs, C. Hutton, N.I. Walls, R. Thompson, C. Chigbo, S.M.A. Zaidi, M. Howard, K.C. Butter, S. Barrow, H. Little, I.U. Haq, L. Gibbons, S. Glencross, A.J. McLeod, K. Poland, C. Mulholland, A. Warke, P. Conn, G. Burns, R.N. Smith, S. Lowe, R. Kamath, H.S. Dau, J. Webster, I. Hodgins, S. Vercoe, P.C. Roome, H. Pinnock, J.R.A. Patel, A. Ali, N. Hart, R. Davies, E. Stuart, C.A. Neden, M. Danielsen, R. Heath, P. Sharma, S. Galloway, C. Hawkins, R. Oliver, M. Aylward, S. Mannion, M. Braddick, D. Edwards, A.C. Rothwell, A. Sabir, F. Choudhary, S. Khalaque, A. Wilson, S. Peters, W. Coulson, N. Roberts, A. Heer, S. Coates, B. Ward, D. Jackson, S. Walton, D. Shepherd, M. Sterry, T. Wong, M. Boon, R. Bunney, R. Haria-Shah, R.T. Baron, S. Davies, T. Schatzberger, N. Hargreaves, T. Stephenson, H. Choi, R. Batson, L. Lucraft, T. Myhill, S. Estifano, D. Geatch, J. Wilkinson, R. Veale, K. Forshaw, T. Davies, K. Zaman, P. Vinson, C. Liley, M. Bandrapalli, P. McGinty, R. Wastling, P. McEleny, A. Beattie, P. Cooke, M. Wong, J. Gunasegaram, M. Pugsley, S. Ahmad, C. A'Court, J. Ayers, J. Bennett, S. Cartwright, S. Dobson, C. Dooldeniya, A. Flynn, R. Fox, J. Goram, A. Halpin, A. Hay, P. Jacobs, L. Jeffers, L. Lomax, I. Munro, R. Muvva, M. Nadaph, K. Powell, S. Randfield, D. Redpath, R. Reed, M. Rickenbach, G. Rogers, P.B. Saunders, C. Seamark, J. Shewring, P. Simmons, H. Simper, H. Stoddart, A. Sword, N. Thomas, A. Thomson, H. Gibbs, A. Blenkhorn, B. Singh, W. Van Gaal, W. Abhayaratna, R. Lehman, P. Roberts-Thomson, J. Kilian, D. Coulshed, A. Catanchin, D. Colquhoun, H. Kiat, D. Eccleston, J. French, L. Zimmett, B. Ayres, T. Phan, P. Blombery, D. Crimmins, D. O'Donnell, A. Choi, P. Astridge, M. Arstall, N. Jepson, M. Binnekamp, A. Lee, J. Rogers, G. Starmer, P. Carroll, J. Faunt, A. Aggarwala, L. Barry, C. Batta, R. Beveridge, A. Black, M. Bonner, J. Boys, E. Buckley, M. Campo, L. Carlton, A. Connelly, B. Conway, D. Cresp, H. Dimitri, S. Dixon, M. Dolman, M. Duroux, M. Eskandari, R. Eslick, A. Ferreira-Jardim, T. Fetahovic, D. Fitzpatrick, R. Geraghty, J. Gibbs, T. Grabek, M.H. Modi, K. Hayes, M.P. Hegde, L. Hesketh, B. Hoffmann, B. Jacobson, K. Johnson, C. Juergens, I. Kassam, V. Lawlor, M. Lehman, S. Lehman, D. Leung, S. Mackay, M. MacKenzie, C. McCarthy, C. McIntosh, L. McKeon, H. Morrison, C. Mussap, J.-D. Myers, V. Nagalingam, G. Oldfield, V. O'May, J. Palmer, L. Parsons, K. Patching, T. Patching, V. Paul, M. Plotz, S. Preston, H. Rashad, M. Ratcliffe, S. Raynes, J. Rose, L. Sanders, M. Seremetkoska, H. Setio, S. Shone, P. Shrestha, C. Singh, C. Singleton, N. Stoyanov, S. Sutcliffe, K. Swaraj, J. Tarrant, S. Thompson, I.M. Tsay, M. Vorster, A. Waldman, L. Wallis, E. Wilford, K. Wong, S.J. Connolly, A. Spyropoulos, J. Eikelboom, R. Luton, M. Gupta, A.S. Pandey, S. Cheung, R. Leader, P. Beaudry, F. Ayala-Paredes, J. Berlingieri, J. Heath, G. Poirier, M. Du Preez, R. Nadeau, G. Dresser, R. Dhillon, T. Hruczkowski, B. Schweitzer, B. Coutu, P. Angaran, P. MacDonald, S. Vizel, S. Fikry, R. Parkash, A. Lavoie, J. Cha, B. Ramjattan, J. Bonet, K. Ahmad, L. Aro, T. Aves, K. Beaudry, C. Bergeron, J. Bigcanoe, N. Bignell, L. Breakwell, E. Burke, L. Carroll, B. Clarke, T. Cleveland, S. Daheb, P. Dehghani, I. Denis, Z. Djaidani, P. Dorian, S. Douglass, J. Dunnigan, A. Ewert, D. Farquhar, A. Fearon, L. Ferleyko, D. Fournier, B. Fox, M.-C. Grenier, W. Gulliver, K. Haveman, C. Hines, K. Hines, A.M. Jackson, C. Jean, G. Jethoo, R. Kahlon, S. Kelly, R. Kim, V. Korley, J. Kornder, L. Kwan, J. Largy, C. Lewis, S. Lewis, I. Mangat, R. Moor, J. Navratil, I. Neas, J. Otis, R. Otis, M. Pandey, F. Petrie, A. Pinter, M. Raines, P. Roberts, M. Robinson, G. Sas, S. Schulman, L. Snell, S. Spearson, J. Stevenson, T. Trahey, S. Wong, D. Wright, H. Ragy, A. Abd El-Aziz, S.K. Abou Seif, M.G. El Din, S. El Etriby, A. Elbahry, A. El-Etreby, M. Elkhadem, A. Katta, T. Khairy, A. Mowafy, M. Nawar, A. Ohanissian, A. Reda, M. Reda, H. Salem, N. Sami, S. Samir, M. Setiha, M. Sobhy, A. Soliman, N. Taha, M. Tawfik, E. Zaatout, D. Kettles, J. Bayat, H. Siebert, A. Horak, Y. Kelfkens, R. Garda, T. Pillay, M. Guerra, L. van Zyl, H. Theron, A. Murray, R. Louw, D. Greyling, P. Mntla, V. Ueckermann, R. Loghdey, S. Ismail, F. Ahmed, J. Engelbrecht, A. Ramdass, S. Maharajh, W. Oosthuysen, G. Angel, C. Bester, M. Booysen, C. Boshoff, C. Cannon, S. Cassimjee, C. Chami, G. Conway, A. Davids, L. de Meyer, G. Du Plessis, T. Ellis, L. Henley, M. Karsten, E. Loyd, J. Marks, L. Mavhusa, M. Mostert, A. Page, L. Rikhotso, M. Salie, J. Sasto, F. Shaik, A. Skein, L. Smith, G. Tarr, T. Tau, F. van Zyl, W. Al Mahmeed, G. Yousef, A. Agrawal, M. Nathani, M. Ibrahim, E.M. Esheiba, R. Singh, A. Naguib, M. Abu-Mahfouz, M. Al Omairi, A. Al Naeemi, R. Maruthanayagam, N. Bazargani, A. Wassef, R. Gupta, M. Khan, B. Subbaraman, A. Abdul, A. Al Mulla, S. El Bardisy, P. Haridas, S. Jadhav, K. Magdaluyo, M. Makdad, I. Maqsood, R. Mohamed, N. Sharma, R. Sharma, M. Thanzeel, S.Z. Goldhaber, R. Canosa, P. Rama, E. Blumberg, J. Garcia, P. Mullen, V. Wilson, A. Quick, K. Ferrick, W.M. Kutayli, M. Cox, M. Franco, S. Falkowski, R. Mendelson, M. Williams, S. Miller, S. Beach, A. Alfieri, T. Gutowski, I. Haque, R. Reddy, W. Ahmed, P. Delafontaine, D. Diercks, D. Theodoro, K. Remmel, M. Alberts, R. Ison, H. Noveck, P. Duffy, S. Pitta, D. Nishijima, C. Treasure, N. Asafu-Adjaye, K. Ball, M. Bartlett, M. Bentley, S. Bowers, A. Brown, A. Browne, J. Cameron-Watts, M. Canova, D. Cassidy, K. Cervellione, S. Congal, J. DePauw, A. Dickerson, M. Eley, L. Evans, S. Felpel, K. Ferdinand, D. Fielder, P. Gentry, A. Haideri, F. Hakimi, T. Harbour, E. Hartranft, B. Hawkins, M. Headlee, L. Henson, C. Herrick, T. Hicks, S. Jasinski, A. Jones, L. Jones, P. Jones, S. Karl, M. Keeling, J. Kerr, P. Knowles, J. Langdon, M. Lay, J.A. Lee, T. Lincoln, E. Malone, A. Merliss, D. Merritt, J. Minardo, B. Mooso, C. Orosco, V. Palumbo, M. Parker, T. Parrott, S. Paserchia, G. Pearl, J. Peterson, N. Pickelsimer, T. Purcell, J. Raynor, S. Raziano, C. Richard, T. Richardson, C. Robertson, A. Sage, T. Sanghera, P. Shaw, J. Shoemaker, K. Smith, B. Stephanie, A. Thatcher, H. Theobald, N. Thompson, L. Treasure, T. Tripti, C. Verdi, and V. Worthy

Subjects
Surgery, RD1-811, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Background: The Global Anticoagulant Registry in the FIELD–Atrial Fibrillation (GARFIELD-AF) is an ongoing prospective noninterventional registry, which is providing important information on the baseline characteristics, treatment patterns, and 1-year outcomes in patients with newly diagnosed non-valvular atrial fibrillation (NVAF). This report describes data from Indian patients recruited in this registry. Methods and results: A total of 52,014 patients with newly diagnosed AF were enrolled globally; of these, 1388 patients were recruited from 26 sites within India (2012–2016). In India, the mean age was 65.8 years at diagnosis of NVAF. Hypertension was the most prevalent risk factor for AF, present in 68.5% of patients from India and in 76.3% of patients globally (P

Published
2018
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19. Rivaroxaban Monotherapy in Patients With Atrial Fibrillation After Coronary Stenting

Author

Tetsuya Matoba, Satoshi Yasuda, Koichi Kaikita, Masaharu Akao, Junya Ako, Masato Nakamura, Katsumi Miyauchi, Nobuhisa Hagiwara, Kazuo Kimura, Atsushi Hirayama, Kunihiko Matsui, Hisao Ogawa, Yukihiro Koretsune, Takafumi Hiro, Tetsuya Sumiyoshi, Kazumi Kimura, Yoichiro Hashimoto, Teruyuki Hirano, Hiroyuki Daida, Yasushi Okada, Tsutomu Yamazaki, A. Nakamura, E. Tamiya, T. Yamamoto, S. Suetake, T. Noguchi, S. Nakamura, A. Matsumura, J. Kojima, S. Suwa, H. Yamaguchi, K. Kaikita, T. Yasu, A. Nakajima, T. Yamada, H. Arai, Y. Hata, T. Sakanashi, H. Tateishi, T. Nakayama, Y. Nozaki, M. Akao, Y. Okumura, M. Tokue, N. Kuroki, Y. Maruyama, T. Matoba, N. Hagiwara, H. Suzuki, Y. Nishida, M. Ajioka, K. Yumoto, S. Shimizu, T. Aoyama, H. Shimomura, T. Takeda, K. Oshiro, N. Sugishita, Y. Shibata, T. Otonari, H. Kihara, H. Ogawa, A. Ohno, M. Hazama, M. Shimizu, K. Tsukahara, S. Haruta, T. Wakeyama, T. Haruna, M. Ito, K. Fujii, N. Atsuchi, M. Sata, K. Kimura, N. Hasebe, Y. Kobayasi, K. Ohsato, K. Hironaga, Y. Naganuma, K. Anzaki, K. Oiwa, S. Okazaki, Y. Nakagawa, K. Tokuhiro, K. Tanaka, T. Momose, Y. Fukushima, R. Kametani, K. Kawamitsu, Y. Saito, S. Akashi, K. Kumagai, K. Eshima, T. Tobaru, T. Seo, K. Okuhara, K. Kozuma, Y. Ikari, T. Takahashi, I. Michishita, H. Fujikura, S. Momomura, Y. Yamamoto, K. Otomo, T. Matsubara, H. Tashiro, T. Inoue, M. Ishihara, I. Shiojima, E. Tachibana, J. Ako, K. Sumii, N. Yamamoto, N. Ohmura, T. Nakamura, Y. Morita, N. Takahashi, K. Watanabe, H. Fujinaga, M. Maruyama, T. Oka, T. Shirayama, T. Amano, K. Fukui, K. Ando, S. Oshima, S. Kagiyama, H. Teragawa, M. Yuge, S. Ono, T. Koga, K. Fujiu, M. Kuwabara, Y. Ohya, Y. Yumoto, N. Kuji, M. Ikemura, K. Kario, K. Chatani, K. Sato, H. Miyagi, M. Murakami, K. Saito, M. Hoshiga, S. Sato, N. Kubo, Y. Sakamoto, K. Ashida, H. Sakamoto, S. Murasaki, H. Uehara, T. Akasaka, Y. Ooba, S. Nakahara, Y. Hanaoka, T. Nishimiya, R. Tsunoda, Y. Onuma, S. Higuchi, A. Tani, A. Wada, M. Kato, H. Obata, Y. Higuchi, T. Endo, R. Katou, T. Matsunaga, T. Matsuoka, H. Noguchi, M. Usui, T. Hayashi, Y. Otsuji, T. Osaki, H. Zaizen, H. Yoshihara, K. Kadota, T. Hirose, T. Miyazawa, A. Mori, M. Takano, W. Shimizu, M. Wake, S. Oriso, M. Yoshiyama, S. Kakinoki, T. Nishioka, T. Ozaki, K. Nomoto, K. Seki, K. Kawai, Y. Ozaki, S. Miura, M. Kawasaki, R. Funada, K. Dote, T. Nagano, S. Okamoto, T. Kubo, Y. Murozono, T. Owada, T. Doke, T. Matsumura, M. Horiuchi, A. Takaishi, M. Yamamoto, H. Nakashima, M. Munemasa, Y. Sakata, N. Inoue, T. Ota, Y. Hamano, N. Abe, T. Tsubokura, M. Goto, I. Kubota, M. Yano, K. Umetani, T. Date, H. Morimoto, T. Noda, S. Goto, K. Hibi, A. Nakano, S. Hiramitsu, Y. Kihara, M. Sugi, N. Shiba, D. Izumi, T. Sato, S. Tayama, T. Matsui, A. Suzuki, K. Ajiki, M. Oishi, M. Kiryu, T. Ko, H. Ando, S. Miyazaki, T. Kinugawa, H. Otake, H. Kitaoka, Y. Hirata, S. Honda, M. Manita, Y. Ishii, H. Oka, Y. Nanba, M. Nishino, T. Sakamoto, T. Saito, H. Sakai, M. Ichikawa, S. Namiuchi, K. Inoue, N. Komiyama, Y. Akashi, Y. Nakamura, T. Komaru, T. Hosokawa, T. Chikamori, H. Tanaka, O. Arasaki, K. Aonuma, Y. Wakasa, T. Yoshizawa, T. Sugano, N. Yokota, A. Kakutani, T. Suzuki, Y. Abe, T. Kataoka, H. Okayama, H. Yokoi, K. Chin, K. Hasegawa, H. Tomita, H. Honzyo, H. Kawai, K. Yamamoto, Y. Morino, S. Tsujiyama, S. Hamasaki, Y. Niijima, Y. Mizuno, A. Maki, K. Tanabe, T. Murohara, S. Naomi, M. Arikawa, T. Kato, N. Matsumoto, T. Minamino, H. Sairenji, N. Miyamoto, H. Ito, Y. Matsuura, S. Hata, Y. Nakatsu, T. Onodera, M. Yoshimura, H. Amano, E. Tokutake, M. Kasao, M. Moriguchi, M. Tsuji, H. Yamamoto, Y. Yanbe, T. Iwasawa, M. Suzuki, and H. Mori

Subjects
Rivaroxaban, medicine.medical_specialty, business.industry, Unstable angina, medicine.medical_treatment, Percutaneous coronary intervention, Atrial fibrillation, medicine.disease, Thrombosis, Coronary artery disease, Internal medicine, medicine, Cardiology, cardiovascular diseases, Myocardial infarction, Cardiology and Cardiovascular Medicine, business, Stroke, medicine.drug
Abstract

Objectives The aim of this AFIRE (Atrial Fibrillation and Ischemic Events With Rivaroxaban in Patients With Stable Coronary Artery Disease) trial subgroup analysis was to examine rivaroxaban monotherapy benefits and their relation to the time between stenting and enrollment among patients after coronary stenting. Background Of 2,215 patients with atrial fibrillation and stable coronary artery disease in the AFIRE trial, rivaroxaban monotherapy was noninferior to rivaroxaban plus antiplatelet therapy (combination therapy) in terms of efficacy and superior for safety endpoints. However, thrombotic risk after antiplatelet therapy cessation remained a concern among 1,444 patients who had undergone coronary stenting >1 year before enrollment. Methods The benefits of rivaroxaban monotherapy in coronary stenting subgroups were assessed for efficacy (a composite of stroke, systemic embolism, myocardial infarction, unstable angina requiring revascularization, or death of any cause), safety (major bleeding defined according to International Society on Thrombosis and Haemostasis criteria), ischemic endpoints, net adverse clinical event, and time between stenting and enrollment. Results Efficacy and safety endpoints for monotherapy were superior to combination therapy, with HRs of 0.70 for efficacy (95% CI: 0.50-0.98; P = 0.036) and 0.55 for safety (95% CI: 0.33-0.92; P = 0.019). For ischemic endpoints, the HR was 0.82 (95% CI: 0.58-1.15; P = 0.240). The HR became smaller with longer time between stenting and enrollment (efficacy, P for interaction = 0.158; safety, P = 0.097). Conclusions In patients with atrial fibrillation after coronary stenting, the benefits of rivaroxaban monotherapy for efficacy and safety endpoints were consistent with those in the whole AFIRE trial population. The benefits became apparent with longer time between stenting and enrollment. (Atrial Fibrillation and Ischemic Events With Rivaroxaban in Patients With Stable Coronary Artery Disease Study [AFIRE]; UMIN000016612 , NCT02642419 )

Published
2021
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20. The GRENE-TEA model intercomparison project (GTMIP): overview and experiment protocol for Stage 1

Author

S. Miyazaki, K. Saito, J. Mori, T. Yamazaki, T. Ise, H. Arakida, T. Hajima, Y. Iijima, H. Machiya, T. Sueyoshi, H. Yabuki, E. J. Burke, M. Hosaka, K. Ichii, H. Ikawa, A. Ito, A. Kotani, Y. Matsuura, M. Niwano, T. Nitta, R. O'ishi, T. Ohta, H. Park, T. Sasai, A. Sato, H. Sato, A. Sugimoto, R. Suzuki, K. Tanaka, S. Yamaguchi, and K. Yoshimura

Subjects
Geology, QE1-996.5
Abstract

As part of the terrestrial branch of the Japan-funded Arctic Climate Change Research Project (GRENE-TEA), which aims to clarify the role and function of the terrestrial Arctic in the climate system and assess the influence of its changes on a global scale, this model intercomparison project (GTMIP) is designed to (1) enhance communication and understanding between the modelling and field scientists and (2) assess the uncertainty and variations stemming from variability in model implementation/design and in model outputs using climatic and historical conditions in the Arctic terrestrial regions. This paper provides an overview of all GTMIP activity, and the experiment protocol of Stage 1, which is site simulations driven by statistically fitted data created using the GRENE-TEA site observations for the last 3 decades. The target metrics for the model evaluation cover key processes in both physics and biogeochemistry, including energy budgets, snow, permafrost, phenology, and carbon budgets. Exemplary results for distributions of four metrics (annual mean latent heat flux, annual maximum snow depth, gross primary production, and net ecosystem production) and for seasonal transitions are provided to give an outlook of the planned analysis that will delineate the inter-dependence among the key processes and provide clues for improving model performance.

Published
2015
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23. GroEL on Quantifoil grid

Author

J, Fujita, additional, F, Makino, additional, H, Asahara, additional, M, Moriguchi, additional, S, Kumano, additional, I, Anzai, additional, J, Kishikawa, additional, Y, Matsuura, additional, T, Kato, additional, K, Namba, additional, and T, Inoue, additional

Published
2022
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29. Enhancing a Near-Term Quantum Accelerator's Instruction Set Architecture for Materials Science Applications

Author

A. Y. Matsuura, S.P. Premaratne, Roman Caudillo, M. Adriaan Rol, V. P. Ostroukh, Sonika Johri, Xiang Zou, David J. Michalak, Leonardo DiCarlo, and James S. Clarke

Subjects
FOS: Computer and information sciences, Quantum Physics, Coprocessor, Quantum dynamics, Computer Science - Emerging Technologies, FOS: Physical sciences, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Instruction set, Computer Science::Hardware Architecture, Quantum circuit, Emerging Technologies (cs.ET), Computer Science::Emerging Technologies, Quantum gate, Computer engineering, Qubit, FOS: Electrical engineering, electronic engineering, information engineering, Quantum algorithm, Hardware_ARITHMETICANDLOGICSTRUCTURES, Quantum Physics (quant-ph), Quantum computer
Abstract

Quantum computers with tens to hundreds of noisy qubits are being developed today. To be useful for real-world applications, we believe that these near-term systems cannot simply be scaled-down non-error-corrected versions of future fault-tolerant large-scale quantum computers. These near-term systems require specific architecture and design attributes to realize their full potential. To efficiently execute an algorithm, the quantum coprocessor must be designed to scale with respect to qubit number and to maximize useful computation within the qubits' decoherence bounds. In this work, we employ an application-system-qubit co-design methodology to architect a near-term quantum coprocessor. To support algorithms from the real-world application area of simulating the quantum dynamics of a material system, we design a (parameterized) arbitrary single-qubit rotation instruction and a two-qubit entangling controlled-Z instruction. We introduce dynamic gate set and paging mechanisms to implement the instructions. To evaluate the functionality and performance of these two instructions, we implement a two-qubit version of an algorithm to study a disorder-induced metal-insulator transition and run 60 random instances of it, each of which realizes one disorder configuration and contains 40 two-qubit instructions (or gates) and 104 single-qubit instructions. We observe the expected quantum dynamics of the time-evolution of this system., Comment: Received August 15, 2019; revised December 9, 2019; accepted December 13, 2019; date of publication January 28, 2020; date of current version February 14, 2020

Published
2020
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32. Er:YAR Laser - Preparation of Hard Dental Tissues

Author

T. Dostálová, H. Jelínková, M. Němec, P. Koranda, M. Miyagi, K. Iwai, Y. Shi, and Y. Matsuura

Subjects
dentin, er:yag laser, q-switching, free-running, ultrasonic, bur preparation, Dentistry, RK1-715
Abstract

Free-running and Q-switched infrared Er:YAG laser radiations, ultrasonic ball tip, and classical hand piece drilling machine were compared in the case of hard dental tissues preparation. For the radiation delivery, a special waveguide transfer system was used. Light-cured, high viscosity flowable HDR microfilled hybrid composite material was used for restorations. The longitudinal sections of extracted human teeth with filling material were compared from the point of view of prepared cavity shape and filling material in scanning electron microscope.

Published
2007

33. Selective Preparation of Hard Dental Tissues in Connection with Composite Materials

Author

T. Dostálová, H. Jelínková, M. Němec, P. Koranda, M. Miyagi, K. Iwai, Y. Shi, and Y. Matsuura

Subjects
dentin, ivory, er:yag laser, ultrasound, preparation, Dentistry, RK1-715
Abstract

The study compares four different procedures of selective preparation of hard dental tissues: ablation by Er:YAG laser radiation (with long and short pulses), preparation by an ultrasound extension with a ball and a classical dental drill. In the long pulses the authors employed interaction energy of 40mJ, duration of the pulse 200 μs and interaction intensity 62kW/cm2; in short pulses the energy was 20mJ, pulse duration 100ns and interaction energy 62kW/cm2. The laser methods were compared with the ultrasound preparation (Sonixflex cariex TV, D - Sonicsys micro) and with the classical preparation. The longitudinal sections through the dentin and the samples of ivory were evaluated after the creation of cavity and administration of the filling by means of electron scanning microscope.

Published
2006

34. Comparison of Preoperative Effect of Laser Radiation with Ultrasound Micropreparation and Classical Drilling Machine

Author

T. Dostálová, H. Jelínková, M. Němec, P. Koranda, M. Miyagi, Y. Shi, and Y. Matsuura

Subjects
dentistry, hard tooth tissue preparation, er:yag laser, Dentistry, RK1-715
Abstract

The aim of this study is to evaluate the interation effect of Q-switched, and free running Er:YAG laser radiations, sonic, and classical drilling machine preparation on the hard dental tissues.

Published
2005

36. SARS-CoV-2 spike protein (1-up RBD) on EG-grid

Author

J, Fujita, additional, F, Makino, additional, H, Asahara, additional, M, Moriguchi, additional, S, Kumano, additional, I, Anzai, additional, J, Kishikawa, additional, Y, Matsuura, additional, T, Kato, additional, K, Namba, additional, and T, Inoue, additional

Published
2021
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37. Apoferritin on EG-grid

Author

J, Fujita, additional, F, Makino, additional, H, Asahara, additional, M, Moriguchi, additional, S, Kumano, additional, I, Anzai, additional, J, Kishikawa, additional, Y, Matsuura, additional, T, Kato, additional, K, Namba, additional, and T, Inoue, additional

Published
2021
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38. GAPDH on EG-grid

Author

J, Fujita, additional, F, Makino, additional, H, Asahara, additional, M, Moriguchi, additional, S, Kumano, additional, I, Anzai, additional, J, Kishikawa, additional, Y, Matsuura, additional, T, Kato, additional, K, Namba, additional, and T, Inoue, additional

Published
2021
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39. SARS-CoV-2 spike protein (1-up RBD) on Quantifoil grid

Author

J, Fujita, additional, F, Makino, additional, H, Asahara, additional, M, Moriguchi, additional, S, Kumano, additional, I, Anzai, additional, J, Kishikawa, additional, Y, Matsuura, additional, T, Kato, additional, K, Namba, additional, and T, Inoue, additional

Published
2021
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41. Beta-galactosidase on EG-grid

Author

J, Fujita, additional, F, Makino, additional, H, Asahara, additional, M, Moriguchi, additional, S, Kumano, additional, I, Anzai, additional, J, Kishikawa, additional, Y, Matsuura, additional, T, Kato, additional, K, Namba, additional, and T, Inoue, additional

Published
2021
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42. Alkaline extracellular conditions promote the proliferation and mineralization of a human cementoblast cell line

Author

Takashi Muramatsu, Y. Matsuura, H. Ishizuka, S. Kashiwagi, Yoshiyuki Shibukawa, M. Kimura, and Masahiro Furusawa

Subjects
Cementoblast, 0206 medical engineering, Cell, chemistry.chemical_element, Cell Count, 02 engineering and technology, Calcium, Mineralization (biology), Cell Line, 03 medical and health sciences, 0302 clinical medicine, Calcification, Physiologic, Western blot, medicine, Extracellular, Humans, General Dentistry, Cells, Cultured, Cell Proliferation, Dental Cementum, medicine.diagnostic_test, Cell Differentiation, 030206 dentistry, Alkaline Phosphatase, 020601 biomedical engineering, Molecular biology, medicine.anatomical_structure, chemistry, Cell culture, Alkaline phosphatase
Abstract

AIM To investigate the proliferation and mineralization of a human cementoblast cell line under alkaline conditions. METHODOLOGY A human cementoblast cell line was cultured in alkaline media with several pHs (pH 7.6, 8.0 and 8.4) without CO2 . Cell numbers, phospho-p44/42 expression, alkaline phosphatase (ALP) activity and mineralization were evaluated. The significance of differences between groups was assessed using two-way analysis of variance 15 (ANOVA) followed by Bonferroni's multiple comparison test (α = 0.01). RESULTS Cell numbers increased in a time-dependent manner in the high pH medium groups. Western blot analysis revealed the upregulated expression of phospho-p44/42 under alkaline conditions. ALP activity was also increased at pH 8.0 and 8.4. Alizarin red staining revealed increased mineralization in the high pH medium groups. The incorporation of the transient receptor potential ankyrin subfamily member 1 (TRPA1) antagonist HC030031 markedly negated the effect on proliferation and mineralization. CONCLUSIONS Extracellular alkaline conditions promoted the proliferation and mineralization of human cementoblasts in vitro via TRPA1.

Published
2019

43. A systems perspective of quantum computing

Author

A. Y. Matsuura, Justin Hogaboam, and Sonika Johri

Subjects
business.industry, Perspective (graphical), TheoryofComputation_GENERAL, Computer Science::Software Engineering, General Physics and Astronomy, 01 natural sciences, Computer Science::Hardware Architecture, Computer Science::Computational Engineering, Finance, and Science, ComputerSystemsOrganization_MISCELLANEOUS, 0103 physical sciences, Scalability, Key (cryptography), 010306 general physics, Software engineering, business, 010303 astronomy & astrophysics, Quantum, Quantum computer
Abstract

Quantum architects, with knowledge of both physics and computer engineering, are key to developing scalable quantum computers.

Published
2019
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44. Myeloid ZFP36L1 does not regulate inflammation or host defense in mouse models of acute bacterial infection.

Author

Lynnae D Hyatt, Gregory A Wasserman, Yoon J Rah, Kori Y Matsuura, Fadie T Coleman, Kristie L Hilliard, Zachary Ash Pepper-Cunningham, Michael Ieong, Deborah J Stumpo, Perry J Blackshear, Lee J Quinton, Joseph P Mizgerd, and Matthew R Jones

Subjects
Medicine, Science
Abstract

Zinc finger protein 36, C3H type-like 1 (ZFP36L1) is one of several Zinc Finger Protein 36 (Zfp36) family members, which bind AU rich elements within 3' untranslated regions (UTRs) to negatively regulate the post-transcriptional expression of targeted mRNAs. The prototypical member of the family, Tristetraprolin (TTP or ZFP36), has been well-studied in the context of inflammation and plays an important role in repressing pro-inflammatory transcripts such as TNF-α. Much less is known about the other family members, and none have been studied in the context of infection. Using macrophage cell lines and primary alveolar macrophages we demonstrated that, like ZFP36, ZFP36L1 is prominently induced by infection. To test our hypothesis that macrophage production of ZFP36L1 is necessary for regulation of the inflammatory response of the lung during pneumonia, we generated mice with a myeloid-specific deficiency of ZFP36L1. Surprisingly, we found that myeloid deficiency of ZFP36L1 did not result in alteration of lung cytokine production after infection, altered clearance of bacteria, or increased inflammatory lung injury. Although alveolar macrophages are critical components of the innate defense against respiratory pathogens, we concluded that myeloid ZFP36L1 is not essential for appropriate responses to bacteria in the lungs. Based on studies conducted with myeloid-deficient ZFP36 mice, our data indicate that, of the Zfp36 family, ZFP36 is the predominant negative regulator of cytokine expression in macrophages. In conclusion, these results imply that myeloid ZFP36 may fully compensate for loss of ZFP36L1 or that Zfp36l1-dependent mRNA expression does not play an integral role in the host defense against bacterial pneumonia.

Published
2014
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45. Quantum computing

Author

A. Y. Matsuura

Subjects
System development, Computer architecture, Computer science, Scalability, Research questions, Performance improvement, Supercomputer, Quantum computer
Abstract

Quantum computing offers the potential for compelling performance improvement on important high performance computing applications such as the simulation of materials and chemical systems. In constructing a full-stack quantum computing system, there are many interdisciplinary research questions that cross the boundaries between physics, engineering and computer architecture. This talk will describe the promise and challenges of bringing quantum computing out of the lab and into a commercial full computer system and will give an overview of Intel's quantum computing research and system development.

Published
2021
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47. Probing many-body localization on a noisy quantum computer

Author

A. Y. Matsuura, Daiwei Zhu, Sonika Johri, Christopher Monroe, C. Huerta Alderete, K. A. Landsman, Nhung H. Nguyen, and Norbert M. Linke

Subjects
Coupling, Physics, Quantum Physics, Strongly Correlated Electrons (cond-mat.str-el), Heisenberg model, Computation, Phase (waves), FOS: Physical sciences, 01 natural sciences, Noise (electronics), Spectral line, 010305 fluids & plasmas, Condensed Matter - Strongly Correlated Electrons, 0103 physical sciences, Quantum system, Statistical physics, Quantum Physics (quant-ph), 010306 general physics, Quantum computer
Abstract

A disordered quantum system of interacting particles exhibits localized behavior when the disorder is large compared to the interaction strength. Studying this phenomenon on a quantum computer with no, or limited, error correction is challenging because even weak coupling to a thermal environment destroys most signatures of localization. Fortunately, spectral functions of local operators are known to contain features that can survive the presence of noise. In these spectra, discrete peaks and a soft gap at low frequencies compared to the thermal phase indicate localization. Here, we present the computation of spectral functions on a trapped-ion quantum computer for a one-dimensional Heisenberg model with disorder. Further, we design an error-mitigation technique which is effective at removing the noise from the measurement allowing clear signatures of localization to emerge as the disorder increases. Thus, we show that spectral functions can serve as a robust and scalable diagnostic of many-body localization on current and future generations of quantum computers.

Published
2021
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48. How Much Carbon Do the Soils of Papua New Guinea Forests Contain?

Author

M. Haraguchi, T. Gaima, H. Abe, J. Walters, M. Gamung, Y. Matsuura, P. D. McIntosh, P. Nimiago, N. Sam, A. Sumareke, and L. Moripi

Subjects
Soil survey, chemistry, Renewable Energy, Sustainability and the Environment, Soil water, National forest inventory, New guinea, chemistry.chemical_element, Environmental science, Forestry, Carbon, General Environmental Science, Education
Abstract

Preliminary assessment of carbon in forest soils of Papua New Guinea (PNG) was done for 53 sites. Simple soil-landscape model was constructed to explain how soil carbon relates to landscape position and landform processes. Despite limitations of the soil survey, sufficient data have been obtained to indicate that the amount of carbon in forest soils surveyed so far is related primarily to their carbon-complexing capacity (CCC) which, in turn, depends on their geological parent material and parent rock. Soils were grouped into six categories based on their carbon content. The six categories ranged from very low 0–50 t/ha to extremely high 601–1,000 t/ha. Amalgamating the areas of mapped geological units on the basis of their likely CCC and their median carbon content has enabled the total carbon content of all forest soils in PNG to be estimated as 7,727 × 106 t. This figure is approximate and will be modified as more results are obtained and more sophisticated GIS-based landscape analysis is undertaken. The total carbon in forest biomass, as measured in this National Inventory and estimated for roots, is 4,006 × 106 t. Thus, the total carbon in PNG’s forests at present is estimated to be 11,733 × 106 t, with 66% stored in the soil and 34% in the biomass. The high proportion of ecosystem carbon held in the soil emphasises the importance of implementing soil conservation measures to maintain the total carbon resource in PNG’s forests.

Published
2021
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