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1. Shirakami: A Hybrid Concurrency Control Protocol for Tsurugi Relational Database System

Author

Kambayashi, Takashi, Tanabe, Takayuki, Hoshino, Takashi, and Kawashima, Hideyuki

Subjects
Computer Science - Databases
Abstract

Modern real-world transactional workloads such as bills of materials or telecommunication billing need to process both short transactions and long transactions. Recent concurrency control protocols do not cope with such workloads since they assume only classical workloads (i.e., YCSB and TPC-C) that have relatively short transactions. To this end, we proposed a new concurrency control protocol Shirakami. Shirakami has two sub-protocols. Shirakami-LTX protocol is for long transactions based on multiversion concurrency control and Shirakami-OCC protocol is for short transactions based on Silo. Shirakami naturally integrates them with write preservation method and epoch-based synchronization. Shirakami is a module in Tsurugi system, which is a production-purpose relational database system.

Published
2023

2. Oze: Decentralized Graph-based Concurrency Control for Real-world Long Transactions on BoM Benchmark

Author

Nemoto, Jun, Kambayashi, Takashi, Hoshino, Takashi, and Kawashima, Hideyuki

Subjects
Computer Science - Databases
Abstract

In this paper, we propose Oze, a new concurrency control protocol that handles heterogeneous workloads which include long-running update transactions. Oze explores a large scheduling space using a fully precise multi-version serialization graph to reduce false positives. Oze manages the graph in a decentralized manner to exploit many cores in modern servers. We also propose a new OLTP benchmark, BoMB (Bill of Materials Benchmark), based on a use case in an actual manufacturing company. BoMB consists of one long-running update transaction and five short transactions that conflict with each other. Experiments using BoMB show that Oze keeps the abort rate of the long-running update transaction at zero while reaching up to 1.7 Mtpm for short transactions with near linear scalability, whereas state-of-the-art protocols cannot commit the long transaction or experience performance degradation in short transaction throughput.

Published
2022

7. An Analysis of Concurrency Control Protocols for In-Memory Databases with CCBench (Extended Version)

Author

Tanabe, Takayuki, Hoshino, Takashi, Kawashima, Hideyuki, Nemoto, Jun, Tanaka, Masahiro, and Tatebe, Osamu

Subjects
Computer Science - Databases, H.2.4
Abstract

This paper presents yet another concurrency control analysis platform, CCBench. CCBench supports seven protocols (Silo, TicToc, MOCC, Cicada, SI, SI with latch-free SSN, 2PL) and seven versatile optimization methods and enables the configuration of seven workload parameters. We analyzed the protocols and optimization methods using various workload parameters and a thread count of 224. Previous studies focused on thread scalability and did not explore the space analyzed here. We classified the optimization methods on the basis of three performance factors: CPU cache, delay on conflict, and version lifetime. Analyses using CCBench and 224 threads, produced six insights. (I1) The performance of optimistic concurrency control protocol for a read only workload rapidly degrades as cardinality increases even without L3 cache misses. (I2) Silo can outperform TicToc for some write-intensive workloads by using invisible reads optimization. (I3) The effectiveness of two approaches to coping with conflict (wait and no-wait) depends on the situation. (I4) OCC reads the same record two or more times if a concurrent transaction interruption occurs, which can improve performance. (I5) Mixing different implementations is inappropriate for deep analysis. (I6) Even a state-of-the-art garbage collection method cannot improve the performance of multi-version protocols if there is a single long transaction mixed into the workload. On the basis of I4, we defined the read phase extension optimization in which an artificial delay is added to the read phase. On the basis of I6, we defined the aggressive garbage collection optimization in which even visible versions are collected. The code for CCBench and all the data in this paper are available online at GitHub., Comment: A short version is accepted at VLDB 2020 (PVLDB Volume 13, Issue 13). Code is at https://github.com/thawk105/ccbench

Published
2020

12. Effects of different surgical procedures for meniscus injury on two-year clinical and radiological outcomes after anterior cruciate ligament reconstructions. -TMDU MAKS study

Author

Hoshino, Akiho, Yoshimura, Hideya, Takahashi, Toru, Matsumura, Etsuko, Nakamura, Kaori, Uomizu, Mari, Tateishi, Tomohiko, Shimizu, Tadanori, Asano, Koji, Kim, Mindae, Neishin, Jyu, Udo, Mio, Kitahama, Jun, Shirasawa, Shinichi, Yanagisawa, Katsuaki, Kondo, Shinpei, Hatsushika, Daisuke, Yuki, Arata, Nakatsuru, Enichi, Araya, Naoko, Amemiya, Masaki, An, Jae-Sung, Kawata, Kazumasa, Yoshihara, Aritoshi, Isono, Masaaki, Shimaya, Masayuki, Fukagawa, Shingo, Horie, Masafumi, Yamaga, Mika, Watanabe, Toshifumi, Saito, Ryusuke, Mochizuki, Tomoyuki, Hoshino, Takashi, Nakagawa, Yusuke, Inomata, Kei, Ohara, Toshiyuki, Katagiri, Hiroki, Otabe, Koji, Hiyama, Kanehiro, Katagiri, Kenta, Katakura, Mai, Ueki, Hiroko, Hayashi, Masaya, Nagase, Tsuyoshi, Sekiya, Ichiro, Ogiuchi, Takashi, Muneta, Takeshi, and Koga, Hideyuki

Published
2022
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16. Contributors

Author

Abdelaziz, Abed, primary, Abrams, Geoffrey D., additional, Adams, Christopher R., additional, Ahsan, Zahab S., additional, Akgün, Doruk, additional, Alaia, Michael J., additional, Al-Khatib, Nedal, additional, Allen, Answorth A., additional, Altchek, David W., additional, Amendola, Annunziato, additional, Ammerman, Brittany M., additional, Andriolo, Luca, additional, Angele, Peter, additional, Anz, Adam, additional, Arendt, Elizabeth A., additional, Arner, Justin W., additional, Elattrache, Neal S., additional, Azar, Frederick M., additional, Bach, Bernard R., additional, Baird, Joanne Page Elston, additional, Baker, Champ L., additional, Bankhead, Christopher P., additional, Barnes, Ryan H., additional, Batty, Lachlan, additional, Bedi, Asheesh, additional, Beitzel, Knut, additional, Belk, John W., additional, Benvegnu, Neilen A., additional, Bernhardson, Andrew, additional, Bernholt, David L., additional, Berthold, Daniel P., additional, Bodendorfer, Blake M., additional, Boffa, Angelo, additional, Boileau, Pascal, additional, Borque, Kyle, additional, Bottoni, Craig R., additional, Bradley, James P., additional, Brolin, Tyler J., additional, Brown, Matthew L., additional, Browning, Robert, additional, Bugbee, William D., additional, Bue, Gaetano Lo, additional, Burns, Joseph P., additional, Bush-Joseph, Charles A., additional, Calcei, Jacob G., additional, Cancienne, Jourdan M., additional, Cannizzaro, Connor K., additional, Carr, James B., additional, Carter, Thomas R., additional, Cerciello, Simone, additional, Chahla, Jorge, additional, Chalmers, Peter N., additional, Chen, Neal C., additional, Cheng, Timothy T., additional, Cohen, Mark S., additional, Cole, Brian J., additional, Condron, Nolan B., additional, Cook, Corey S., additional, Cooper, Joe D., additional, Creighton, R. Alexander, additional, Dandu, Navya, additional, Danilkowicz, Richard M., additional, Danzinger, Victor, additional, Dean, Robert S., additional, DeBerardino, Thomas, additional, DeGirolamo, Laura, additional, DeJour, David, additional, Delman, Connor M., additional, Dempsey, Ian J., additional, Denard, Patrick J., additional, Dennis, Eric J., additional, Dhawan, Aman, additional, Dhollander, Aad A.M., additional, Diaz, Connor C., additional, Dickens, Jonathan F., additional, Diduch, David, additional, Martino, Alessandro Di, additional, Dines, Joshua S., additional, Douglass, Brenton W., additional, Drager, Justin, additional, Dukas, Alex G., additional, Dwyer, Corey R., additional, Ebert, Nicholas J., additional, Hassan, Bassem El, additional, Rayes, Johnny El, additional, Elrick, Bryant P., additional, Erickson, Brandon J., additional, Evuarherhe, Aghogho, additional, Fanelli, Gregory C., additional, Farr, Jack, additional, Fernandez, John J., additional, Field, Larry D., additional, Filardo, Giuseppe, additional, Fink, Julia, additional, Flanigan, David C., additional, Forlenza, Enrico M., additional, Forsythe, Brian, additional, Fradin, Thomas, additional, Frank, Rachel M., additional, Freehill, Michael T., additional, Freeman, Heather, additional, Friedman, Lisa G.M., additional, DeFroda, Steven, additional, Fu, Freddie H., additional, Fulkerson, John P., additional, Gao, Ian, additional, Garrigues, Grant E., additional, Gelber, Pablo E., additional, Getgood, Alan, additional, Gilat, Ron, additional, Gillogly, Scott D., additional, Goldberg, Daniel B., additional, Gomoll, Andreas H., additional, Graves, Benjamin R, additional, Gray, Tinker, additional, Grimm, Nathan L., additional, Grubhofer, Florian, additional, Gruskay, Jordan A., additional, Haidar, Ibrahim M., additional, Hammond, James, additional, Han, Fucai, additional, Harris, Payton, additional, Hartzler, Robert U., additional, Hettrich, Carolyn M., additional, Hill, Justin E., additional, Hoshino, Takashi, additional, Hoyt, Benjamin W., additional, Huddleston, Hailey P., additional, Hughes, Jonathan D., additional, Ignozzi, Anthony J., additional, Ireland, Mary Lloyd, additional, Itoi, Eiji, additional, James, Evan W., additional, Jimenez, Andrew E., additional, Kaeding, Christopher C., additional, Kanakamedala, Ajay C., additional, Kercher, James S., additional, Kester, Benjamin S., additional, Kibler, W. Ben, additional, Knapik, Derrick M., additional, Knapp, Thomas P., additional, Kocaoglu, Baris, additional, Korn, Marc, additional, Korrapati, Avinaash, additional, Kuhn, John E., additional, Lafosse, Laurent, additional, Lafosse, Thibault, additional, Lamplot, Joseph D., additional, LaPrade, Robert F., additional, Laver, Lior, additional, Lavian, Arash, additional, Lavoie-Gagne, Ophelie Z., additional, LeClere, Lance E., additional, Lin, Kenneth M., additional, Lindsay, Adam, additional, Lisenda, Laughter, additional, Litchfield, Robert, additional, Maheshwer, Bhargavi, additional, Makhni, Eric C., additional, Mall, Nathan, additional, Marder, Richard A., additional, Margheritini, Fabrizio, additional, Marx, Robert G., additional, Matson, David, additional, Mazzocca, Augustus D., additional, McCarty, Eric C., additional, McCarty, L. Pearce, additional, Mehl, Ashley, additional, Midtgaard, Kaare S., additional, Miller, Mark D., additional, Millett, Peter J., additional, Mirzayan, Raffy, additional, Moatshe, Gilbert, additional, Monson, Jill, additional, Moody, Christian, additional, Moroder, Philipp, additional, Muniz Martinez, Andres R., additional, Muzzi, Stefano, additional, Naclerio, Emily, additional, Nathan, Levy, additional, Niemeyer, Philipp, additional, Ngbilo, Cédric, additional, Nicholson, Gregory P., additional, Nolte, Philip-C., additional, Noorzad, Ali S., additional, Nuber, Gordon, additional, O’Brien, Michael J., additional, O’Connell, Robert S., additional, O’Donnell, Evan A., additional, O’Shea, Kieran, additional, Pace, James L., additional, Pagnani, Michael J., additional, Parvaresh, Kevin C., additional, Patel, Jhillika, additional, Peebles, Liam A., additional, Polce, Evan M., additional, Pooley, Rodrigo Sandoval, additional, Provencher, CAPT Matthew T., additional, Quigley, Ryan J., additional, Quinn, Courtney, additional, Raynor, M. Brett, additional, Ring, David, additional, Robinson, Avi S., additional, Rodeo, Scott A., additional, Rodkey, William G., additional, Romeo, Anthony A., additional, Ruzbarsky, Joseph J., additional, Sabbag, Orlando D., additional, Safran, Marc R., additional, Salata, Michael J., additional, Savage-Elliott, Ian, additional, Savoie, Felix H., additional, Scholten, Donald J, additional, Sciascia, Aaron, additional, Shelbourne, K. Donald, additional, Sherman, Seth L., additional, Shoji, Monica M., additional, Smith, Adam M., additional, Smith, Matthew V., additional, Smith, Patrick A., additional, Sonnery-Cottet, Bertrand, additional, Sourugeon, Yosef, additional, Strauss, Eric J., additional, Struijk, Caroline, additional, Van Thiel, Geoffrey S., additional, Tokish, John M., additional, Tompkins, Marc, additional, Tramer, Joseph S., additional, Trasolini, Nicholas, additional, Tross, Anna, additional, Uyeki, Colin L., additional, Vellios, Evan E., additional, Vera, Angelina M., additional, Verdonk, Peter C.M., additional, Verdonk, René, additional, Verheul, Dirk W., additional, Verma, Nikhil N., additional, Vieira, Thais Dutra, additional, Vinagre, Gustavo, additional, Wagner, Kyle R., additional, Walters, Jordan D., additional, Warner, Jon J.P., additional, Warren, Russell F., additional, Waterman, Brian R., additional, Wieser, Karl, additional, Williams, Brady T., additional, Williams, Andy, additional, Winterton, Matthew T., additional, Wise, Kelsey, additional, Wong, Stephanie, additional, Wong, Ivan, additional, Wörner, Elisabeth, additional, Wright-Chisem, Joshua, additional, Wysocki, Robert W., additional, Yamamoto, Nobuyuki, additional, Yanke, Adam B., additional, Yonai, Yaniv, additional, Zacharias, Anthony J., additional, and Ziedas, Alexander, additional

Published
2022
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17. Imatinib and nutritional support can make successful treatment for a case of huge liver metastasis of duodenal gastrointestinal stromal tumor that initially showed jaundice and cachexia

Author

Tateyama, Yumeo, Naganuma, Atsushi, Suzuki, Yuhei, Masuda, Tomoyuki, Uehara, Sanae, Hoshino, Takashi, Yasuoka, Hidetoshi, Kudo, Tomohiro, Ogawa, Yusuke, Ogawa, Tetsushi, Tateno, Kohei, Ishii, Norihiro, Araki, Kenichiro, Harimoto, Norifumi, Shirabe, Ken, and Kakizaki, Satoru

Published
2021
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18. EPO‐R: An efficient garbage collection scheme for long‐term transactions.

Author

Onishi, Rina, Hoshino, Takashi, and Kawashima, Hideyuki

Subjects
REFUSE collection
Abstract

Summary: This article proposes EPO‐R, which is an efficient garbage collection scheme designed for multi‐version concurrency control (MVCC) protocols. MVCC generates a version for each update operation, and it can exhaust physical memory for dynamically changing environments such as IoT payments. Eager pruning of obsolete versions (EPO) is a novel garbage collection technique for long‐term transactions. We found room for improvement in EPO, which triggers reclamation invocation. EPO is triggered for each write operation, and it wastes CPU resources. The proposed method EPO‐R is triggered on a read operation to address this issue. The result of experiments with 64 CPU cores and workloads with the combination of short‐term and long‐term transactions demonstrated that EPO‐R exhibited 6.3 times higher throughput than that of EPO. The reason for this can be explained by analyzing the number of unreclaimable versions. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Steep medial posterior tibial slope angle and ramp lesion are independent risk factors for an increase in quantitatively measured pivot shift in patients with ACL‐deficient knees.

Author

Yoshida, Ryu, Koga, Hideyuki, Nakamura, Tomomasa, Nakagawa, Yusuke, Katakura, Mai, Amemiya, Masaki, Hoshino, Takashi, Yoshihara, Aritoshi, Hasegawa, Shoichi, Tokumoto, Yasumasa, Sekiya, Ichiro, and Ozeki, Nobutake

Subjects
ANTERIOR cruciate ligament surgery, MULTIPLE regression analysis, MENISCUS injuries, KNEE osteoarthritis, KNEE injuries, REGRESSION analysis
Abstract

Background: Delayed anterior cruciate ligament (ACL) reconstruction often causes residual anterolateral rotatory instability (ALRI) and consequent knee osteoarthritis, warranting the recommendation of early ACL reconstruction within 6 months after injury. Nonetheless, some cases show notable instability, even shortly after injury. The purpose of this study was to identify risk factors for an increase in quantitatively measured pivot shift in patients with ACL‐deficient knees within 6 months after injury. Methods: Patients with primary ACL reconstruction within 6 months after injury and quantitative triaxial accelerometer measurements of preoperative pivot shift were included. Descriptive statistics were calculated for 11 independent variables (age, gender, time from injury to surgery, KT‐1000, knee extension angle, lateral and medial posterior tibial slope angle, medial and lateral meniscus tears, ramp lesion and Tegner active scale). A single regression analysis was performed on the 11 items and acceleration during the pivot shift, and a multiple regression analysis was performed for items with p value less than 0.1. Results: Overall, 111 patients met the inclusion criteria. Single regression analysis showed that medial posterior tibial slope angle, medial meniscus tear and ramp lesion were significantly correlated with acceleration during the pivot shift (p < 0.001, p = 0.04 and p = 0.001). Multiple regression analysis identified medial posterior tibial slope angles and ramp lesions as independent factors for increased preoperative pivot shift (p = 0.005 and 0.01). Conclusion: A steep medial posterior tibial slope angle and ramp lesion were independent risk factors for increased quantitatively measured pivot shift in patients with ACL‐deficient knees. Level of Evidence: Level IV, case series study. [ABSTRACT FROM AUTHOR]

Published
2024
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20. The association of the medial meniscus covering ratio with knee cartilage thickness at 15 medial compartment subregions as found by three‐dimensional analysis using MRI.

Author

Ozeki, Nobutake, Koga, Hideyuki, Nakamura, Tomomasa, Katagiri, Hiroki, Nakagawa, Yusuke, Hoshino, Takashi, Katakura, Mai, Amemiya, Masaki, Yoshihara, Aritoshi, Katano, Hisako, Mizuno, Mitsuru, Endo, Kentaro, Masumoto, Jun, and Sekiya, Ichiro

Subjects
MAGNETIC resonance imaging, KNEE osteoarthritis, CARTILAGE, POSITIVE systems, STATISTICAL correlation
Abstract

Purpose: The correlation of cartilage thickness measured by three‐dimensional (3D) magnetic resonance imaging (MRI) and the medial meniscal coverage ratio (MMCR), which presented pathology of the medial meniscus extrusion (MME) in 3D MRI, has not yet been elucidated. The study's purpose was to retrospectively verify whether the average cartilage thickness calculated by the automatic MRI 3D analysis system for each subregion was correlated with MMCR. Methods: A total of 60 patients underwent medial meniscus repair or high tibial osteotomy to treat their medial knee osteoarthritis. Cartilage thickness and MMCR were automatically calculated using 3D MRI software. The MMCR was defined as the ratio of the area covered by the meniscus within the medial tibial cartilage area to the total medial tibial cartilage area. The association between MMCR and the average cartilage thickness at 15 subregions in the medial femoral condyle (MFC) and medial tibial plateau (MTP) was evaluated using Spearman's rank correlation coefficient. Results: Kellgren–Lawrence grade exhibited a negative correlation with MMCR and a positive correlation with MME width. Cartilage thickness in the MTP had a moderately positive correlation with MMCR at four subregions and a weakly positive correlation at another subregion. Cartilage thickness in the MFC showed a moderately positive correlation with MMCR at five subregions and a weakly positive correlation at one subregion. Conclusions: Cartilage thickness calculated by automatic MRI 3D analysis system had a positive correlation with MMCR for all subregions of the anterior and middle subregions in the MFC and for five regions of nine subregions of the anterior and middle subregions in the MTP. Level of evidence: Level II, cross‐sectional study (diagnosis). [ABSTRACT FROM AUTHOR]

Published
2024
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31. 肝内肝動脈瘤の自然破裂を来した1剖検例

Author

Shimada, Takahito, primary, Naganuma, Atsushi, additional, Naruse, Hiroaki, additional, Tamura, Yuki, additional, Tomaru, Shota, additional, Sano, Nozomi, additional, Suzuki, Yuhei, additional, Masuda, Tomoyuki, additional, Yasuoka, Hidetoshi, additional, Hoshino, Takashi, additional, and Kakizaki, Satoru, additional

Published
2023
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32. Supplementary Figure Legends from Biological Characterization of TAK-901, an Investigational, Novel, Multitargeted Aurora B Kinase Inhibitor

Author

Farrell, Pamela, primary, Shi, Lihong, primary, Matuszkiewicz, Jennifer, primary, Balakrishna, Deepika, primary, Hoshino, Takashi, primary, Zhang, Lilly, primary, Elliott, Sarah, primary, Fabrey, Robyn, primary, Lee, Bumsup, primary, Halkowycz, Petro, primary, Sang, BiChing, primary, Ishino, Seigo, primary, Nomura, Toshiyuki, primary, Teratani, Mika, primary, Ohta, Yoshikazu, primary, Grimshaw, Charles, primary, Paraselli, Bheema, primary, Satou, Takashi, primary, and de Jong, Ron, primary

Published
2023
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33. Supplementary Figure 2 from Biological Characterization of TAK-901, an Investigational, Novel, Multitargeted Aurora B Kinase Inhibitor

Author

Farrell, Pamela, primary, Shi, Lihong, primary, Matuszkiewicz, Jennifer, primary, Balakrishna, Deepika, primary, Hoshino, Takashi, primary, Zhang, Lilly, primary, Elliott, Sarah, primary, Fabrey, Robyn, primary, Lee, Bumsup, primary, Halkowycz, Petro, primary, Sang, BiChing, primary, Ishino, Seigo, primary, Nomura, Toshiyuki, primary, Teratani, Mika, primary, Ohta, Yoshikazu, primary, Grimshaw, Charles, primary, Paraselli, Bheema, primary, Satou, Takashi, primary, and de Jong, Ron, primary

Published
2023
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34. Data from Biological Characterization of TAK-901, an Investigational, Novel, Multitargeted Aurora B Kinase Inhibitor

Author

Farrell, Pamela, primary, Shi, Lihong, primary, Matuszkiewicz, Jennifer, primary, Balakrishna, Deepika, primary, Hoshino, Takashi, primary, Zhang, Lilly, primary, Elliott, Sarah, primary, Fabrey, Robyn, primary, Lee, Bumsup, primary, Halkowycz, Petro, primary, Sang, BiChing, primary, Ishino, Seigo, primary, Nomura, Toshiyuki, primary, Teratani, Mika, primary, Ohta, Yoshikazu, primary, Grimshaw, Charles, primary, Paraselli, Bheema, primary, Satou, Takashi, primary, and de Jong, Ron, primary

Published
2023
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35. Supplementary Figure 1 from Biological Characterization of TAK-901, an Investigational, Novel, Multitargeted Aurora B Kinase Inhibitor

Author

Farrell, Pamela, primary, Shi, Lihong, primary, Matuszkiewicz, Jennifer, primary, Balakrishna, Deepika, primary, Hoshino, Takashi, primary, Zhang, Lilly, primary, Elliott, Sarah, primary, Fabrey, Robyn, primary, Lee, Bumsup, primary, Halkowycz, Petro, primary, Sang, BiChing, primary, Ishino, Seigo, primary, Nomura, Toshiyuki, primary, Teratani, Mika, primary, Ohta, Yoshikazu, primary, Grimshaw, Charles, primary, Paraselli, Bheema, primary, Satou, Takashi, primary, and de Jong, Ron, primary

Published
2023
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41. Successful Treatment of Metastatic Gallbladder Carcinoma with a High Tumor Mutational Burden Using Pembrolizumab: A Case Report

Author

Uehara, Sanae, primary, Naganuma, Atsushi, additional, Furuichi, Nozomi, additional, Furusawa, Ai, additional, Kaburagi, Takuya, additional, Naruse, Hiroaki, additional, Tomaru, Shota, additional, Sano, Nozomi, additional, Suzuki, Yuhei, additional, Masuda, Tomoyuki, additional, Hoshino, Takashi, additional, Yasuoka, Hidetoshi, additional, Tanaka, Yuko, additional, Saito, Shuichi, additional, Hatanaka, Takeshi, additional, and Kakizaki, Satoru, additional

Published
2023
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45. A New Diversification Method to Solve Vehicle Routing Problems Using Chaotic Dynamics

Author

Hoshino, Takashi, Kimura, Takayuki, Ikeguchi, Tohru, Kelso, J.A. Scott, editor, Érdi, Péter, editor, Friston, Karl J., editor, Haken, Hermann, editor, Kacprzyk, Janusz, editor, Reichl, Linda E., editor, Schuster, Peter, editor, Schweitzer, Frank, editor, Sornette, Didier, editor, In, Visarath, editor, Longhini, Patrick, editor, and Palacios, Antonio, editor

Published
2009
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46. Elevated serum uric acid level was a notable adverse event during combination therapy with sofosbuvir and ribavirin

Author

Sato, Ken, Naganuma, Atsushi, Nagashima, Tamon, Hoshino, Takashi, Uehara, Daisuke, Arai, Yousuke, Horiuchi, Katsuhiko, Yuasa, Kazuhisa, Takayama, Hisashi, Arai, Hirotaka, Hatanaka, Takeshi, Ohyama, Tatsuya, Tahara, Hiroki, Sohara, Naondo, Kobayashi, Takeshi, Horiguchi, Norio, Yamazaki, Yuichi, Kakizaki, Satoru, Kusano, Motoyasu, Yamada, Masanobu, Murase, Takayo, and Nakamura, Takashi

Published
2018
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