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182,690 results on '"Ishida A"'

51. ELEPHANT: ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients

Author

Pessi, P. J., Durgesh, R., Nakazono, L., Hayes, E. E., Oliveira, R. A. P., Ishida, E. E. O., Moitinho, A., Krone-Martins, A., Moews, B., de Souza, R. S., Beck, R., Kuhn, M. A., Nowak, K., and Vaughan, S.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena
Abstract

Context. Transient astronomical events that exhibit no discernible association with a host galaxy are commonly referred to as hostless. These rare phenomena are associated with extremely energetic events, and they can offer unique insights into the properties and evolution of stars and galaxies. However, the sheer number of transients captured by contemporary high-cadence astronomical surveys renders the manual identification of all potential hostless transients impractical. Therefore, creating a systematic identification tool is crucial for studying these elusive events. Aims. We present the ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients (ELEPHANT), a framework for filtering hostless transients in astronomical data streams. Methods. We used Fink to access all the ZTF alerts produced between January/2022 and December/2023, selecting only those associated with extragalactic transients. We then processed the associated stamps using a sequence of image analysis techniques to retrieve hostless candidates. Results. We find that less than 2% of all analyzed transients are potentially hostless. Among them, approximately 10% have a spectroscopic class reported on TNS, with Type Ia supernova being the most common class, followed by SLSN. Among the hostless candidates retrieved by our pipeline, there was SN 2018ibb, which has been proposed to be a PISN candidate; and SN 2022ann, one of only five known SNe Icn. When no class is reported on TNS, the dominant classes are QSO and SN candidates, the former obtained from SIMBAD and the latter inferred using the Fink ML classifier. Conclusions. ELEPHANT represents an effective strategy to filter extragalactic events within large and complex astronomical alert streams. There are many applications for which this pipeline will be useful, ranging from transient selection for follow-up to studies of transient environments., Comment: 15 pages, 11 figures

Published
2024
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52. Inverse scattering for repulsive potential and strong singular interactions

Author

Ishida, Atsuhide

Subjects
Mathematical Physics
Abstract

In a previous work of 2014 on a quantum system governed by the repulsive Hamiltonian, the author proved uniqueness for short-range interactions described by a scattering operator consisting of regular and singular parts. In this paper, the singular part is assumed to have much stronger singularities and the same uniqueness theorem is proved. By applying the time-dependent method invented by Enss and Weder in 1995, the high-velocity limit for a wider class of the scattering operator with stronger singularities also uniquely determines the interactions of a multi-dimensional system.

Published
2024

53. Combined Pre-Supernova Alert System with Kamland and Super-Kamiokande

Author

KamLAND, Collaborations, Super-Kamiokande, Abe, Seisho, Eizuka, Minori, Futagi, Sawako, Gando, Azusa, Gando, Yoshihito, Goto, Shun, Hachiya, Takahiko, Hata, Kazumi, Ichimura, Koichi, Ieki, Sei, Ikeda, Haruo, Inoue, Kunio, Ishidoshiro, Koji, Kamei, Yuto, Kawada, Nanami, Kishimoto, Yasuhiro, Koga, Masayuki, Kurasawa, Maho, Mitsui, Tadao, Miyake, Haruhiko, Morita, Daisuke, Nakahata, Takeshi, Nakajima, Rika, Nakamura, Kengo, Nakamura, Rikuo, Nakamura, Ryo, Nakane, Jun, Ozaki, Hideyoshi, Saito, Keita, Sakai, Taichi, Shimizu, Itaru, Shirai, Junpei, Shiraishi, Kensuke, Shoji, Ryunosuke, Suzuki, Atsuto, Takeuchi, Atsuto, Tamae, Kyoko, Watanabe, Hiroko, Watanabe, Kazuho, Yoshida, Sei, Umehara, Saori, Fushimi, Ken-Ichi, Kotera, Kenta, Urano, Yusuke, Berger, Bruce E., Fujikawa, Brian K., Larned, John G., Maricic, Jelena, Fu, Zhenghao, Smolsky, Joseph, Winslow, Lindley A., Efremenko, Yuri, Karwowski, Hugon J., Markoff, Diane M., Tornow, Werner, Dell'Oro, Stefano, O'Donnell, Thomas, Detwiler, Jason A., Enomoto, Sanshiro, Decowski, Michal P., Weerman, Kelly M., Grant, Christopher, Song, Hasung, Li, Aobo, Axani, Spencer N., Garcia, Miles, Abe, Ko, Bronner, Christophe, Hayato, Yoshinari, Hiraide, Katsuki, Hosokawa, Keishi, Ieki, Kei, Ikeda, Motoyasu, Kameda, June, Kanemura, Yuki, Kaneshima, Ryota, Kashiwagi, Yuri, Kataoka, Yousuke, Miki, Shintaro, Mine, Shunichi, Miura, Makoto, Moriyama, Shigetaka, Nakahata, Masayuki, Nakano, Yuuki, Nakayama, Shoei, Noguchi, Yohei, Sato, Kazufumi, Sekiya, Hiroyuki, Shiba, Hayato, Shimizu, Kotaro, Shiozawa, Masato, Sonoda, Yutaro, Suzuki, Yoichiro, Takeda, Atsushi, Takemoto, Yasuhiro, Tanaka, Hidekazu K., Yano, Takatomi, Han, Seungho, Kajita, Takaaki, Okumura, Kimihiro, Tashiro, Takuya, Tomiya, Takuya, Wang, Xubin, Yoshida, Shunsuke, Fernandez, Pablo, Labarga, Luis, Ospina, Nataly, Zaldivar, Bryan, Pointon, Barry W., Kearns, Edward, Raaf, Jennifer L., Wan, Linyan, Wester, Thomas, Bian, Jianming, Griskevich, Jeff, Smy, Michael B., Sobel, Henry W., Takhistov, Volodymyr, Yankelevich, Alejandro, Hill, James, Jang, MinCheol, Lee, Seonghak, Moon, DongHo, Park, RyeongGyoon, Bodur, Baran, Scholberg, Kate, Walter, Chris W., Beauchêne, Antoine, Drapier, Olivier, Giampaolo, Alberto, Mueller, Thomas A., Santos, Andrew D., Paganini, Pascal, Quilain, Benjamin, Rogly, Rudolph, Nakamura, Taku, Jang, Jee-Seung, Machado, Lucas N., Learned, John G., Choi, Koun, Iovine, Nadege, Cao, Son V., Anthony, Lauren H. V., Martin, Daniel G. R., Prouse, Nick W., Scott, Mark, Uchida, Yoshi, Berardi, Vincenzo, Calabria, Nicola F., Catanesi, M. G., Radicioni, Emilio, Langella, Aurora, de Rosa, Gianfranca, Collazuol, Gianmaria, Feltre, Matteo, Iacob, Fabio, Mattiazzi, Marco, Ludovici, Lucio, Gonin, Michel, Périssé, Lorenzo, Pronost, Guillaume, Fujisawa, Chiori, Horiuchi, Shogo, Kobayashi, Misaki, Liu, Yu-Ming, Maekawa, Yuto, Nishimura, Yasuhiro, Okazaki, Reo, Akutsu, Ryosuke, Friend, Megan, Hasegawa, Takuya, Ishida, Taku, Kobayashi, Takashi, Jakkapu, Mahesh, Matsubara, Tsunayuki, Nakadaira, Takeshi, Nakamura, Kenzo, Oyama, Yuichi, Sakashita, Ken, Sekiguchi, Tetsuro, Tsukamoto, Toshifumi, Yrey, Antoniosk Portocarrero, Bhuiyan, Nahid, Burton, George T., Di Lodovico, Francesca, Gao, Joanna, Goldsack, Alexander, Katori, Teppei, Migenda, Jost, Ramsden, Rory M., Xie, Zhenxiong, Zsoldos, Stephane, Suzuki, Atsumu T., Takagi, Yusuke, Takeuchi, Yasuo, Zhong, Haiwen, Feng, Jiahui, Feng, Li-Cheng, Hu, Jianrun, Hu, Zhuojun, Kawaue, Masaki, Kikawa, Tatsuya, Mori, Masamitsu, Nakaya, Tsuyoshi, Wendell, Roger A., Yasutome, Kenji, Jenkins, Sam J., McCauley, Neil K., Mehta, Pruthvi, Tarrant, Adam, Wilking, Mike J., Fukuda, Yoshiyuki, Itow, Yoshitaka, Menjo, Hiroaki, Ninomiya, Kotaro, Yoshioka, Yushi, Lagoda, Justyna, Mandal, Maitrayee, Mijakowski, Piotr, Prabhu, Yashwanth S., Zalipska, Joanna, Jia, Mo, Jiang, Junjie, Shi, Wei, Yanagisawa, Chiaki, Harada, Masayuki, Hino, Yota, Ishino, Hirokazu, Koshio, Yusuke, Nakanishi, Fumi, Sakai, Seiya, Tada, Tomoaki, Tano, Tomohiro, Ishizuka, Takeharu, Barr, Giles, Barrow, Daniel, Cook, Laurence, Samani, Soniya, Wark, David, Holin, Anna, Nova, Federico, Jung, Seunghyun, Yang, Byeongsu, Yang, JeongYeol, Yoo, Jonghee, Fannon, Jack E. P., Kneale, Liz, Malek, Matthew, McElwee, Jordan M., Thiesse, Matthew D., Thompson, Lee F., Wilson, Stephen T., Okazawa, Hiroko, Mohan, Lakshmi S., Kim, SooBong, Kwon, Eunhyang, Seo, Ji-Woong, Yu, Intae, Ichikawa, Atsuko K., Nakamura, Kiseki D., Tairafune, Seidai, Nishijima, Kyoshi, Eguchi, Aoi, Nakagiri, Kota, Nakajima, Yasuhiro, Shima, Shizuka, Taniuchi, Natsumi, Watanabe, Eiichiro, Yokoyama, Masashi, de Perio, Patrick, Fujita, Saki, Jesus-Valls, Cesar, Martens, Kai, Tsui, Ka M., Vagins, Mark R., Xia, Junjie, Izumiyama, Shota, Kuze, Masahiro, Matsumoto, Ryo, Terada, Kotaro, Asaka, Ryusei, Ishitsuka, Masaki, Ito, Hiroshi, Ommura, Yuga, Shigeta, Natsuki, Shinoki, Masataka, Yamauchi, Koki, Yoshida, Tsukasa, Gaur, Rhea, Gousy-Leblan, Vincent, Hartz, Mark, Konaka, Akira, Li, Xiaoyue, Chen, Shaomin, Xu, Benda, Zhang, Aiqiang, Zhang, Bin, Posiadala-Zezula, Magdalena, Boyd, Steven B., Edwards, Rory, Hadley, David, Nicholson, Matthew, O'Flaherty, Marcus, Richards, Benjamin, Ali, Ajmi, Jamieson, Blair, Amanai, Shogo, Marti-Magro, Lluis, Minamino, Akihiro, Shibayama, Ryo, and Suzuki, Serina

Subjects
High Energy Physics - Experiment, Astrophysics - High Energy Astrophysical Phenomena, Physics - Instrumentation and Detectors
Abstract

Preceding a core-collapse supernova, various processes produce an increasing amount of neutrinos of all flavors characterized by mounting energies from the interior of massive stars. Among them, the electron antineutrinos are potentially detectable by terrestrial neutrino experiments such as KamLAND and Super-Kamiokande via inverse beta decay interactions. Once these pre-supernova neutrinos are observed, an early warning of the upcoming core-collapse supernova can be provided. In light of this, KamLAND and Super-Kamiokande, both located in the Kamioka mine in Japan, have been monitoring pre-supernova neutrinos since 2015 and 2021, respectively. Recently, we performed a joint study between KamLAND and Super-Kamiokande on pre-supernova neutrino detection. A pre-supernova alert system combining the KamLAND detector and the Super-Kamiokande detector was developed and put into operation, which can provide a supernova alert to the astrophysics community. Fully leveraging the complementary properties of these two detectors, the combined alert is expected to resolve a pre-supernova neutrino signal from a 15 M$_{\odot}$ star within 510 pc of the Earth, at a significance level corresponding to a false alarm rate of no more than 1 per century. For a Betelgeuse-like model with optimistic parameters, it can provide early warnings up to 12 hours in advance., Comment: Resubmitted to ApJ. 22 pages, 16 figures, for more information about the combined pre-supernova alert system, see https://www.lowbg.org/presnalarm/

Published
2024
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54. Transient Classifiers for Fink: Benchmarks for LSST

Author

Fraga, B. M. O., Bom, C. R., Santos, A., Russeil, E., Leoni, M., Peloton, J., Ishida, E. E. O., Möller, A., and Blondin, S.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena
Abstract

The upcoming Legacy Survey of Space and Time (LSST) is expected to detect a few million transients per night, which will generate a live alert stream during the entire ten years of the survey. This stream will be distributed via community brokers whose task is to select subsets of the stream and direct them to scientific communities. Given the volume and complexity of the anticipated data, machine learning algorithms will be paramount for this task. We present the infrastructure tests and classification methods developed within the Fink broker in preparation for LSST. This work aims to provide detailed information regarding the underlying assumptions and methods behind each classifier and enable users to make informed follow-up decisions from Fink photometric classifications. Using simulated data from ELAsTiCC, we showcase the performance of binary and multi-class ML classifiers available in Fink. These include tree-based classifiers coupled with tailored feature extraction strategies as well as deep learning algorithms. Moreover, we introduce CATS, a deep learning architecture specifically designed for this task. Our results show that Fink classifiers are able to handle the extra complexity that is expected from LSST data. CATS achieved $\geq 93\%$ precision for all classes except `long' (for which it achieved $\sim 83\%$), while our best performing binary classifier achieves $\geq 98\%$ precision and $\geq 99\%$ completeness when classifying the periodic class. ELAsTiCC was an important milestone in preparing the Fink infrastructure to deal with LSST-like data. Our results demonstrate that Fink classifiers are well prepared for the arrival of the new stream, but this work also highlights that transitioning from the current infrastructures to Rubin will require significant adaptation of the currently available tools. This work was the first step in the right direction., Comment: 19 pages, 28 figures. Revised version accepted to A&A

Published
2024

55. Development of a data overflow protection system for Super-Kamiokande to maximize data from nearby supernovae

Author

Mori, M., Abe, K., Hayato, Y., Hiraide, K., Hosokawa, K., Ieki, K., Ikeda, M., Kameda, J., Kanemura, Y., Kaneshima, R., Kashiwagi, Y., Kataoka, Y., Miki, S., Mine, S., Miura, M., Moriyama, S., Nakano, Y., Nakahata, M., Nakayama, S., Noguchi, Y., Okamoto, K., Sato, K., Sekiya, H., Shiba, H., Shimizu, K., Shiozawa, M., Sonoda, Y., Suzuki, Y., Takeda, A., Takemoto, Y., Takenaka, A., Tanaka, H., Watanabe, S., Yano, T., Han, S., Kajita, T., Okumura, K., Tashiro, T., Tomiya, T., Wang, X., Yoshida, S., Megias, G. D., Fernandez, P., Labarga, L., Ospina, N., Zaldivar, B., Pointon, B. W., Kearns, E., Raaf, J. L., Wan, L., Wester, T., Bian, J., Griskevich, N. J., Locke, S., Smy, M. B., Sobel, H. W., Takhistov, V., Yankelevich, A., Hill, J., Jang, M. C., Lee, S. H., Moon, D. H., Park, R. G., Bodur, B., Scholberg, K., Walter, C. W., Beauchene, A., Drapier, O., Giampaolo, A., Mueller, Th. A., Santos, A. D., Paganini, P., Quilain, B., Rogly, R., Ishizuka, T., Nakamura, T., Jang, J. S., Learned, J. G., Choi, K., Iovine, N., Cao, S., Anthony, L. H. V., Martin, D., Scott, M., Sztuc, A. A., Uchida, Y., Berardi, V., Catanesi, M. G., Radicioni, E., Calabria, N. F., Langella, A., Machado, L. N., De Rosa, G., Collazuol, G., Iacob, F., Lamoureux, M., Mattiazzi, M., Ludovici, L., Gonin, M., Perisse, L., Pronost, G., Fujisawa, C., Maekawa, Y., Nishimura, Y., Okazaki, R., Akutsu, R., Friend, M., Hasegawa, T., Ishida, T., Kobayashi, T., Jakkapu, M., Matsubara, T., Nakadaira, T., Nakamura, K., Oyama, Y., Sakashita, K., Sekiguchi, T., Tsukamoto, T., Bhuiyan, N., Burton, G. T., Edwards, R., Di Lodovico, F., Gao, J., Goldsack, A., Katori, T., Migenda, J., Ramsden, R. M., Xie, Z., Zsoldos, S., Kotsar, Y., Ozaki, H., Suzuki, A. T., Takagi, Y., Takeuchi, Y., Zhong, H., Bronner, C., Feng, J., Hu, J. R., Hu, Z., Kawaune, M., Kikawa, T., LiCheng, F., Nakaya, T., Wendell, R. A., Yasutome, K., Jenkins, S. J., McCauley, N., Mehta, P., Tarant, A., Fukuda, Y., Itow, Y., Menjo, H., Ninomiya, K., Yoshioka, Y., Lagoda, J., Lakshmi, S. M., Mandal, M., Mijakowski, P., Prabhu, Y. S., Zalipska, J., Jia, M., Jiang, J., Jung, C. K., Shi, W., Wilking, M. J., Yanagisawa, C., Harada, M., Hino, Y., Ishino, H., Kitagawa, H., Koshio, Y., Nakanishi, F., Sakai, S., Tada, T., Tano, T., Barr, G., Barrow, D., Cook, L., Samani, S., Wark, D., Holin, A., Nova, F., Jung, S., Yang, B. S., Yang, J. Y., Yoo, J., Fannon, J. E. P., Kneale, L., Malek, M., McElwee, J. M., Thiesse, M. D., Thompson, L. F., Wilson, S., Okazawa, H., Kim, S. B., Kwon, E., Seo, J. W., Yu, I., Ichikawa, A. K., Nakamura, K. D., Tairafune, S., Nishijima, K., Eguchi, A., Nakagiri, K., Nakajima, Y., Shima, S., Taniuchi, N., Watanabe, E., Yokoyama, M., de Perio, P., Fujita, S., Martens, K., Tsui, K. M., Vagins, M. R., Valls, C. J., Xia, J., Kuze, M., Izumiyama, S., Ishitsuka, M., Ito, H., Kinoshita, T., Matsumoto, R., Ommura, Y., Shigeta, N., Shinoki, M., Suganuma, T., Yamauchi, K., Yoshida, T., Martin, J. F., Tanaka, H. A., Towstego, T., Gaur, R., Gousy-Leblanc, V., Hartz, M., Konaka, A., Li, X., Prouse, N. W., Chen, S., Xu, B. D., Zhang, B., Posiadala-Zezula, M., Boyd, S. B., Hadley, D., Nicholson, M., Flaherty, M. O', Richards, B., Ali, A., Jamieson, B., Amanai, S., Marti, Ll., Minamino, A., Pintaudi, G., Sano, S., Suzuki, S., and Wada, K.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Solar and Stellar Astrophysics, High Energy Physics - Experiment
Abstract

Neutrinos from very nearby supernovae, such as Betelgeuse, are expected to generate more than ten million events over 10\,s in Super-Kamokande (SK). At such large event rates, the buffers of the SK analog-to-digital conversion board (QBEE) will overflow, causing random loss of data that is critical for understanding the dynamics of the supernova explosion mechanism. In order to solve this problem, two new DAQ modules were developed to aid in the observation of very nearby supernovae. The first of these, the SN module, is designed to save only the number of hit PMTs during a supernova burst and the second, the Veto module, prescales the high rate neutrino events to prevent the QBEE from overflowing based on information from the SN module. In the event of a very nearby supernova, these modules allow SK to reconstruct the time evolution of the neutrino event rate from beginning to end using both QBEE and SN module data. This paper presents the development and testing of these modules together with an analysis of supernova-like data generated with a flashing laser diode. We demonstrate that the Veto module successfully prevents DAQ overflows for Betelgeuse-like supernovae as well as the long-term stability of the new modules. During normal running the Veto module is found to issue DAQ vetos a few times per month resulting in a total dead time less than 1\,ms, and does not influence ordinary operations. Additionally, using simulation data we find that supernovae closer than 800~pc will trigger Veto module resulting in a prescaling of the observed neutrino data., Comment: 28 pages, 18 figures. Submitted to PTEP

Published
2024
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56. SNAD catalogue of M-dwarf flares from the Zwicky Transient Facility

Author

Voloshina, A. S., Lavrukhina, A. D., Pruzhinskaya, M. V., Malanchev, K. L., Ishida, E. E. O., Krushinsky, V. V., Aleo, P. D., Gangler, E., Kornilov, M. V., Korolev, V. S., Russeil, E., Semenikhin, T. A., Sreejith, S., and Volnova, A. A.

Subjects
Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

Most of the stars in the Universe are M spectral class dwarfs, which are known to be the source of bright and frequent stellar flares. In this paper, we propose new approaches to discover M-dwarf flares in ground-based photometric surveys. We employ two approaches: a modification of a traditional method of parametric fit search and a machine learning algorithm based on active anomaly detection. The algorithms are applied to Zwicky Transient Facility (ZTF) data release 8, which includes the data from the ZTF high-cadence survey, allowing us to reveal flares lasting from minutes to hours. We analyze over 35 million ZTF light curves and visually scrutinize 1168 candidates suggested by the algorithms to filter out artifacts, occultations of a star by an asteroid, and other types of known variable objects. The result of this analysis is the largest catalogue of ZTF flaring stars to date, representing 134 flares with amplitudes ranging from -0.2 to -4.6 magnitudes, including repeated flares. Using Pan-STARRS DR2 colors, we assign a spectral subclass to each object in the sample. For 13 flares with well-sampled light curves and available geometric distances from Gaia DR3, we estimate the bolometric energy. This research shows that the proposed methods combined with the ZTF's cadence strategy are suitable for identifying M-dwarf flares and other fast transients, allowing for the extraction of significant astrophysical information from their light curves., Comment: 19 pages, 6 figures, 1 table, 1 appendix

Published
2024
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57. On Schr\'odinger equation with square and inverse-square potentials

Author

Ishida, Atsuhide and Kawamoto, Masaki

Subjects
Mathematics - Analysis of PDEs
Abstract

In this paper, we study the linear and nonlinear Schr\"odinger equations with a time-decaying harmonic oscillator and inverse-square potential. This model retains a form of scale invariance, and utilizing this property, we demonstrate the asymptotic completeness of wave operators and Strichartz estimates for linear propagators.

Published
2024

59. Cephalopod-inspired jetting devices for gastrointestinal drug delivery

Author

Arrick, G., Sticker, D., Ghazal, A., Lu, Y., Duncombe, T., Gwynne, D., Mouridsen, B., Wainer, J., Jepsen, J. P. H., Last, T. S., Schultz, D., Hess, K., Medina De Alba, E., Min, S., Poulsen, M., Anker, C., Karandikar, P., Pedersen, H. D., Collins, J., Egecioglu, N. E., Tamang, S., Cleveland, C., Ishida, K., Uhrenfeldt, A. H., Kuosmanen, J., Pereverzina, M., Hayward, A., Kirk, R. K., You, S., Dalsgaard, C. M., Gunnarsson, S. B., Patsi, I., Bohr, A., Azzarello, A., Frederiksen, M. R., Herskind, P., Li, J., Roxhed, N., Rahbek, U. L., Water, J. J., Buckley, S. T., and Traverso, G.

Published
2024
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61. Digital hypertension, implementation hypertension, and internationalization - 3 pillars of Japanese Society of Hypertension 2024–2026 advancing hypertension science from Japan to the world in the information network era

Author

Kario, Kazuomi, Nishiyama, Akira, Shibata, Shigeru, Arima, Hisatomi, Furuhashi, Masato, Ichihara, Atsuhiro, Ishida, Mari, Katsuya, Tomohiro, Kishi, Takuya, Miura, Katsuyuki, Miura, Shin-ichiro, Mogi, Masaki, Ohishi, Mitsuru, Shibata, Hirotaka, Shimosawa, Tatsuo, Sugawara, Akira, Tamura, Kouichi, Toyoda, Kazunori, Yamamoto, Koichi, and Node, Koichi

Published
2024
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67. A retrospective comparative study of biliary drainage using balloon endoscopy and endoscopic ultrasound for malignant obstruction in patients with surgically altered anatomy

Author

Hakuta, Ryunosuke, Ishida, Kota, Nakai, Yousuke, Kogure, Hirofumi, Nishio, Hiroto, Kurihara, Kouhei, Tange, Shuichi, Fukuda, Rintaro, Takaoka, Shinya, Suzuki, Yukari, Oyama, Hiroki, Kanai, Sachiko, Noguchi, Kensaku, Suzuki, Tatsunori, Sato, Tatsuya, Ishigaki, Kazunaga, Saito, Tomotaka, Hamada, Tsuyoshi, Takahara, Naminatsu, and Fujishiro, Mitsuhiro

Published
2024
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68. Multidomain Intervention Trial for Preventing Cognitive Decline among Older Adults with Type 2 Diabetes: J-MIND-Diabetes

Author

Sugimoto, T., Araki, A., Fujita, H., Fujita, K., Honda, K., Inagaki, N., Ishida, T., Kato, J., Kishi, M., Kishino, Y., Kobayashi, K., Kouyama, K., Kuroda, Y., Kuwahata, S., Matsumoto, N., Murakami, T., Noma, H., Ogino, J., Ogura, M., Ohishi, M., Shimada, H., Sugimoto, K., Takenaka, T., Tamura, Y., Tokuda, H., Uchida, K., Umegaki, H., and Sakurai, Takashi

Published
2024
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75. Resistance exercise has an antihypertensive effect comparable to that of aerobic exercise in hypertensive patients: a meta-analysis of randomized controlled trials

Author

Morita, Hidetaka, Abe, Makiko, Suematsu, Yasunori, Uehara, Yoshinari, Koyoshi, Rie, Fujimi, Kanta, Ideishi, Akihito, Takata, Kohei, Kato, Yuta, Hirata, Tetsuo, Yahiro, Eiji, Morito, Natsumi, Kitajima, Ken, Satoh, Atsushi, Yoshimura, Chikara, Ishida, Shintaro, Okutsu, Shota, Takahashi, Koji, Shinohara, Yukiko, Sakaguchi, Takashi, Katsuki, Shiori, Tada, Kazuhiro, Fujii, Takako, Funakoshi, Shunsuke, Hu, Yaopeng, Satoh, Tomonori, Ohnishi, Hirofumi, Okamura, Keisuke, Mizuno, Hiroyuki, Arakawa, Kimika, Asayama, Kei, Ohtsubo, Toshio, Ishigami, Tomoaki, Shibata, Shigeru, Fujita, Takayuki, Munakata, Masanori, Ohishi, Mitsuru, Ichihara, Atsuhiro, Katsuya, Tomohiro, Mukoyama, Masashi, Rakugi, Hiromi, Node, Koichi, Arima, Hisatomi, and Miura, Shin-ichiro

Published
2024
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77. Association between homologous recombination deficiency and time to treatment failure to platinum-based chemotherapy for pancreatic cancer by using the C-CAT database

Author

Ishigaki, Kazunaga, Tokito, Yurie, Takahara, Naminatsu, Nishio, Hiroto, Endo, Go, Fukuda, Koshiro, Ishida, Kota, Fukuda, Rintaro, Takaoka, Shinya, Oyama, Hiroki, Noguchi, Kensaku, Suzuki, Tatsunori, Sato, Tatsuya, Saito, Tomotaka, Hamada, Tsuyoshi, Miyabayashi, Koji, Sato, Yasuyoshi, Nakai, Yousuke, Kage, Hidenori, Oda, Katsutoshi, and Fujishiro, Mitsuhiro

Published
2024
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82. Efficacy and safety of carmustine wafers, followed by radiation, temozolomide, and bevacizumab therapy, for newly diagnosed glioblastoma with maximal resection

Author

Kanamori, Masayuki, Shibahara, Ichiyo, Shimoda, Yoshiteru, Akiyama, Yukinori, Beppu, Takaaki, Ohba, Shigeo, Enomoto, Toshiyuki, Ono, Takahiro, Mitobe, Yuta, Hanihara, Mitsuto, Mineharu, Yohei, Ishida, Joji, Asano, Kenichiro, Yoshida, Yasuyuki, Natsumeda, Manabu, Nomura, Sadahiro, Abe, Tatsuya, Yonezawa, Hajime, Katakura, Ryuichi, Shibui, Soichiro, Kuroiwa, Toshihiko, Suzuki, Hiroyoshi, Takei, Hidehiro, Matsushita, Haruo, Saito, Ryuta, Arakawa, Yoshiki, Sonoda, Yukihiko, Hirose, Yuichi, Kumabe, Toshihiro, Yamaguchi, Takuhiro, Endo, Hidenori, and Tominaga, Teiji

Published
2024
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88. Salvage hematopoietic cell transplantation for children with acute myeloid leukemia relapsed after first transplantation: a Japanese national registry study

Author

Sakaguchi, Hirotoshi, Taga, Takashi, Ishida, Hisashi, Hama, Asahito, Okamoto, Yasuhiro, Sano, Hideki, Sato, Maho, Koga, Yuhki, Koh, Katsuyoshi, Iwasaki, Fuminori, Yoshida, Nao, Cho, Yuko, Okada, Keiko, Watanabe, Kentaro, Watanabe, Akihiro, Hasegawa, Daiichiro, Noguchi, Maiko, Hashii, Yoshiko, Matsumoto, Kimikazu, and Tabuchi, Ken

Published
2024
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90. Differences in the effects of exercise on blood pressure depending on the physical condition of the subject and the type of exercise: a systematic review and meta-analysis

Author

Suematsu, Yasunori, Morita, Hidetaka, Abe, Makiko, Uehara, Yoshinari, Koyoshi, Rie, Fujimi, Kanta, Ideishi, Akihito, Takata, Kohei, Kato, Yuta, Hirata, Tetsuo, Yahiro, Eiji, Morito, Natsumi, Kitajima, Ken, Yano, Yuiko, Satoh, Atsushi, Yoshimura, Chikara, Ishida, Shintaro, Okutsu, Shota, Takahashi, Koji, Shinohara, Yukiko, Sakaguchi, Takashi, Katsuki, Shiori, Tada, Kazuhiro, Fujii, Takako, Funakoshi, Shunsuke, Hu, Yaopeng, Satoh, Tomonori, Ohnishi, Hirofumi, Okamura, Keisuke, Mizuno, Hiroyuki, Arakawa, Kimika, Asayama, Kei, Ohtsubo, Toshio, Ishigami, Tomoaki, Shibata, Shigeru, Fujita, Takayuki, Munakata, Masanori, Ohishi, Mitsuru, Ichihara, Atsuhiro, Katsuya, Tomohiro, Mukoyama, Masashi, Rakugi, Hiromi, Node, Koichi, Arima, Hisatomi, and Miura, Shin-ichiro

Published
2024
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96. Conventional magnetic resonance imaging key features for distinguishing pathologically confirmed corticobasal degeneration from its mimics: a retrospective analysis of the J-VAC study

Author

Sakurai, Keita, Tokumaru, Aya M., Yoshida, Mari, Saito, Yuko, Wakabayashi, Koichi, Komori, Takashi, Hasegawa, Masato, Ikeuchi, Takeshi, Hayashi, Yuichi, Shimohata, Takayoshi, Murayama, Shigeo, Iwasaki, Yasushi, Uchihara, Toshiki, Sakai, Motoko, Yabe, Ichiro, Tanikawa, Satoshi, Takigawa, Hiroshi, Adachi, Tadashi, Hanajima, Ritsuko, Fujimura, Harutoshi, Hayashi, Kentaro, Sugaya, Keizo, Hasegawa, Kazuko, Sano, Terunori, Takao, Masaki, Yokota, Osamu, Miki, Tomoko, Kobayashi, Michio, Arai, Nobutaka, Ohkubo, Takuya, Yokota, Takanori, Mori, Keiko, Ito, Masumi, Ishida, Chiho, Idezuka, Jiro, Toyoshima, Yasuko, Kanazawa, Masato, Aoki, Masashi, Hasegawa, Takafumi, Watanabe, Hirohisa, Hashizume, Atsushi, Niwa, Hisayoshi, Yasui, Keizo, Ito, Keita, Washimi, Yukihiko, Kubota, Akatsuki, Toda, Tatsushi, Nakashima, Kenji, and Aiba, Ikuko

Published
2024
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