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1,333 results on '"Sato, Ryota"'

1. Decay of Kaluza-Klein Vacuum via Singular Instanton

Author

Ookouchi, Yutaka, Sato, Ryota, and Tsukahara, Sohei

Subjects
High Energy Physics - Theory
Abstract

In the decay process of metastable vacua in quantum field theories, the bounce solution, a classical solution in Euclideanized theories, is helpful in calculating the decay rate. Recently, the bounce solution with a conical singularity has attracted wide attention and revealed physical importance. In this paper, we discuss the bubble of nothing solution, which describes the decay process of a five-dimensional Kaluza-Klein vacuum, and study the consequence of including conical singularity. We found that the bounce solution with singularities has a higher decay rate than those without. This effect suggests that a singular solution can play a dominant role in vacuum decay of theories with compact internal space. We also discuss the enhanced decay rate from a thermodynamic perspective., Comment: 26 pages, 6 figures

Published
2024

6. Size-controlled quantum dots reveal the impact of intraband transitions on high-order harmonic generation in solids

Author

Nakagawa, Kotaro, Hirori, Hideki, Sato, Shunsuke A., Tahara, Hirokazu, Sekiguchi, Fumiya, Yumoto, Go, Saruyama, Masaki, Sato, Ryota, Teranishi, Toshiharu, and Kanemitsu, Yoshihiko

Subjects
Physics - Optics, Condensed Matter - Mesoscale and Nanoscale Physics
Abstract

Since the discovery of high-order harmonic generation (HHG) in solids, much effort has been devoted to understanding its generation mechanism and both interband and intraband transitions are known to be essential. However, intraband transitions are affected by the electronic structure of a solid, and how they contribute to nonlinear carrier generation and HHG remains an open question. Here, we use mid-infrared laser pulses to study HHG in CdSe and CdS quantum dots (QDs), where quantum confinement can be used to control the intraband transitions. We find that both the HHG intensity per excited volume and the generated carrier density increase when the average QD size is increased from about 2 nm to 3 nm. We show that the reduction of the subband gap energy in larger QDs enhances intraband transitions, and this in turn increases the rate of photocarrier injection by coupling with interband transitions, resulting in enhanced HHG.

Published
2022
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12. An overlapping case of IgG4-related disease and systemic lupus erythematosus treated with belimumab: a case-based review

Author

Iwamoto, Megumi, Asashima, Hiromitsu, Sugita, Toshiki, Kawashima, Fumina, Sugita, Naoki, Rai, Akiyoshi, Kuroda, Yuki, Kawashima, Akira, Tabuchi, Daiki, Akao, Satoshi, Sato, Ryota, Nishiyama, Taihei, Toko, Hirofumi, Honda, Fumika, Ohyama, Ayako, Kitada, Ayako, Abe, Saori, Miki, Haruka, Hagiwara, Shinya, Kondo, Yuya, Tsuboi, Hiroto, and Matsumoto, Isao

Published
2024
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23. STING signalling is terminated through ESCRT-dependent microautophagy of vesicles originating from recycling endosomes

Author

Kuchitsu, Yoshihiko, Mukai, Kojiro, Uematsu, Rei, Takaada, Yuki, Shinojima, Ayumi, Shindo, Ruri, Shoji, Tsumugi, Hamano, Shiori, Ogawa, Emari, Sato, Ryota, Miyake, Kensuke, Kato, Akihisa, Kawaguchi, Yasushi, Nishitani-Isa, Masahiko, Izawa, Kazushi, Nishikomori, Ryuta, Yasumi, Takahiro, Suzuki, Takehiro, Dohmae, Naoshi, Uemura, Takefumi, Barber, Glen N., Arai, Hiroyuki, Waguri, Satoshi, and Taguchi, Tomohiko

Published
2023
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28. Validation of the obesity paradox by body mass index and waist circumference in patients undergoing percutaneous coronary intervention

Author

Shirahama, Yuichiro, Tabata, Noriaki, Sakamoto, Kenji, Sato, Ryota, Yamanaga, Kenshi, Fujisue, Koichiro, Sueta, Daisuke, Araki, Satoshi, Takashio, Seiji, Arima, Yuichiro, Hokimoto, Seiji, Sato, Koji, Sakamoto, Tomohiro, Nakao, Koichi, Shimomura, Hideki, Matsumura, Toshiyuki, Tayama, Shinji, Fujimoto, Kazuteru, Oshima, Shuichi, Nakamura, Shinichi, Tsunoda, Ryusuke, Hirose, Toyoki, Kikuta, Koichi, Sakaino, Naritsugu, Yamamoto, Nobuyasu, Kajiwara, Ichiro, Suzuki, Satoru, Yamamoto, Eiichiro, Kaikita, Koichi, Matsushita, Kenichi, and Tsujita, Kenichi

Published
2022
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32. Sepsis-induced cardiogenic shock: controversies and evidence gaps in diagnosis and management.

Author

Sato, Ryota, Hasegawa, Daisuke, Guo, Stephanie, Nuqali, Abdulelah E., and Moreno, Jesus E. Pino

Subjects
*CARDIOGENIC shock, *PULMONARY artery catheters, *MEDICAL sciences, *SEPTIC shock, *ARTIFICIAL blood circulation
Abstract

Sepsis often leads to vasoplegia and a hyperdynamic cardiac state, with treatment focused on restoring vascular tone. However, sepsis can also cause reversible myocardial dysfunction, particularly in the elderly with pre-existing heart conditions. The Surviving Sepsis Campaign Guidelines recommend using dobutamine with norepinephrine or epinephrine alone for patients with septic shock with cardiac dysfunction and persistent hypoperfusion despite adequate fluid resuscitation and stable blood pressure. However, the definition of cardiac dysfunction and hypoperfusion in these guidelines remains controversial, leading to varied clinical interpretations. Cardiac dysfunction with persistent hypoperfusion despite restoring adequate preload and afterload is often considered a cardiogenic shock. Therefore, sepsis complicated by new-onset myocardial dysfunction or worsening of underlying myocardial dysfunction due to sepsis-induced cardiomyopathy, resulting in cardiogenic shock, can be defined as "Sepsis-induced cardiogenic shock (SICS)". SICS is known to be associated with significantly higher mortality. A history of cardiac dysfunction is a strong predictor of SICS, highlighting the need for precise diagnosis and management given the aging population and rising cardiovascular disease prevalence. Therefore, SICS might benefit from early invasive hemodynamic monitoring with a pulmonary artery catheter (PAC), unlike those with septic shock alone. While routine PAC monitoring for all septic patients is impractical, echocardiography could be a useful screening tool for high-risk individuals. If echocardiography indicates cardiogenic shock, PAC might be warranted for continuous monitoring. The role of inotropes in SICS remains uncertain. Mechanical circulatory support (MCS) might be considered for severe cases, as high-dose vasopressors and inotropes are associated with worse outcomes. Correct patient selection is the key to improving outcomes with MCS. Engaging a cardiogenic shock team for a multidisciplinary approach can be beneficial. In summary, addressing the evidence gaps in SICS diagnosis and management is crucial. Echocardiography for screening, advanced monitoring with PAC, and careful patient selection for MCS are important for optimal patient care. [ABSTRACT FROM AUTHOR]

Published
2025
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33. Alcohol septal ablation in drug-refractory hypertrophic obstructive cardiomyopathy patient with multiple comorbidities.

Author

Sato, Ryota, Sakamoto, Atsushi, Suwa, Kenichiro, Iguchi, Keisuke, Sano, Makoto, Akita, Keitaro, Satoh, Terumori, Tsukui, Hiroe, Ikoma, Takenori, and Maekawa, Yuichiro

Abstract

Septal reduction therapy is an effective treatment for hypertrophic obstructive cardiomyopathy (HOCM). Alcohol septal ablation (ASA) is indicated for HOCM patients who are ineligible for surgical myectomy, but several tips exist for the management of high-risk patients with ASA. Here, we present a case of successful ASA in a HOCM patient with multiple comorbidities, including severe obesity, drug-refractory bronchial asthma, poorly controlled diabetes, and steroid-induced immunosuppression. Pre-procedural strict glycemic control, pre-treatment with corticosteroids for bronchospasm prevention, minimal puncture sites for device insertion, and myocardial contrast echocardiography-guided procedure contributed to the achievement of successful ASA. With careful periprocedural management, ASA is a safe and effective treatment option for drug-refractory HOCM, even in high-risk patients with multiple comorbidities. Alcohol septal ablation can be a beneficial and safe treatment option for hypertrophic obstructive cardiomyopathy patients with multiple comorbidities, including severe obesity, drug-refractory bronchial asthma, poorly controlled diabetes, and steroid-induced immunosuppression. Detailed periprocedural management, including myocardial contrast echocardiography-guided procedure, is the key for achievement. [ABSTRACT FROM AUTHOR]

Published
2025
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34. Impact of cerebrovascular comorbidity on prognosis in Japanese patients undergoing PCI: 1-year data from Japanese multicenter registry (KICS)

Author

Ahmed, Khlood, Arima, Yuichiro, Tabata, Noriaki, Ishii, Masanobu, Sato, Ryota, Yamashita, Takayoshi, Yamanaga, Kenshi, Takizawa, Hitoshi, Hokimoto, Seiji, Sueta, Daisuke, Araki, Satoshi, Fujisue, Koichiro, Takashio, Seiji, Fujimoto, Kazuteru, Shimomura, Hideki, Tsunoda, Ryusuke, Hirose, Toyoki, Sato, Koji, Kikuta, Koichi, Sakaino, Naritsugu, Nakamura, Shinichi, Yamamoto, Nobuyasu, Matsumura, Toshiyuki, Kajiwara, Ichiro, Tayama, Shinji, Sakamoto, Tomohiro, Nakao, Koichi, Oshima, Shuichi, Yamamoto, Eiichiro, Sakamoto, Kenji, Kaikita, Koichi, Matsushita, Kenichi, and Tsujita, Kenichi

Published
2022
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35. Temporal trends in coronary intervention strategies and the impact on one-year clinical events: data from a Japanese multi-center real-world cohort study

Author

Sakamoto, Kenji, Sato, Ryota, Tabata, Noriaki, Ishii, Masanobu, Yamashita, Takayoshi, Nagamatsu, Suguru, Motozato, Kota, Yamanaga, Kenshi, Hokimoto, Seiji, Sueta, Daisuke, Araki, Satoshi, Fujisue, Koichiro, Arima, Yuichiro, Takashio, Seiji, Fujimoto, Kazuteru, Shimomura, Hideki, Tsunoda, Ryusuke, Hirose, Toyoki, Sato, Koji, Kikuta, Koichi, Sakaino, Naritsugu, Nakamura, Shinichi, Yamamoto, Nobuyasu, Matsumura, Toshiyuki, Kajiwara, Ichiro, Tayama, Shinji, Sakamoto, Tomohiro, Nakao, Koichi, Oshima, Shuichi, Yamamoto, Eiichiro, Kaikita, Koichi, and Tsujita, Kenichi

Published
2022
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44. Benefits of eculizumab in AQP4+ neuromyelitis optica spectrum disorder: Subgroup analyses of the randomized controlled phase 3 PREVENT trial

Author

Muñoz, Daniel Julio, Amor, Jorge David, Bocchiardo, Carolina, Danielle, Julieta Iourno, Laffue, Alfredo, Obregon, Carolina Daniela Diaz, Paez, Maria Fernanda, Perez, Roberto Martin, Rocchi, Viviana Ana Maria, Teijeiro, Loreley Deborah, Gómez, Jesica, Villa, Andres Maria, Aguirre, Florencia, Fernández, Victoria Carla, Goicoechea, Ramon F., Melamud, Luciana, Stillman, Ana, de Virgiliis, Mariana, Cassara, Fatima Pagani, Cordoba, Marta, Gutierrez, Maria Teresa, Ingolotti, Mariana, Larripa, Natalia, Lupinacci, Anahi, Arroyo, Josefina, Romano, Alejandra, Torres, Mariana Foa, Ballario, Carlos Héctor, Chiesa, Ana Elisa, Gómez, Hernán Gustavo, Lattini, Hernán Gabriel, Mainella, Carolina Natalia, Bolner, Gisel Edith, Eschoyez, María Soledad, Broadley, Simon Andrew, Heshmat, Saman, Sabet, Arman, Swayne, Andrew, Freeman, Susan, Sanchez, Sofia Jimenez, Shuey, Neil, Dalic, Linda, French, Ann, Kuma, Guru, Laing, Joshua, Law, Lai Yin, MacIntyre, Jennifer, Neal, Andrew, Plummer, Christopher, Ramachandran, Prashanth, Sedal, Leslie, Wilson, Ian, Winkel, Antony, Zhang, Wenwen, Chen, Tina, Watts, Rani, Barnett, Michael, Barton, Joshua, Beadnall, Heidi, Garber, Justin, Hardy, Todd Andrew, Trewin, Benjamin, Taha, Marinda, Walters, Deleni, Sieger, Federico Arturo Silva, Alfonso, Nhora Patricia Ruiz, Camacho, Anna Maria Pinzon, Moreno, Alexander Pabón, Prad, Jorge Armando Castellanos, Rueda, Adriana Paola Duarte, Castillo, Tatiana, Gonzalez, Karol Melissa Castillo, Pico, Martha Yolanda Moreno, Castill, Judith, Habek, Mario, Adamec, Ivan, Barun, Barbara, Crnosija, Luka, Gabelic, Tereza, Nytrova, Petra, Krasulova, Eva, Pavlickova, Jana, Tyblova, Michaela, Zubkova, Jana, Petersen, Thor, Dale, Gro Helen, Rasmussen, Peter Vestergaard, Stilund, Morten, Svendsen, Kristina Bacher, Brandt, Vivi, Collongues, Nicolas, Fleury, Marie-Celine, Kremer, Laurent, Bendele, Sandrine, Neff, Valérie, Diem, Ricarda, Platten, Michael, Berberich, Anne, Jansen, Jonabelle, Jaschoneck, Hannah, Wildemann, Brigitte, Aures, Ursula, Brandenburger, Tanja, Haut, Tanja, Fernández, Maria-Lourdes Treceno, Aly, Lilian, Brinkhoff, Kirsten, Buck, Dorothea, Golkowski, Daniel, Hermisson, Mirjam, Hoshi, Muna-Miriam, Kaminski, Miriam, Kowarik, Markus Christian, Kronsbein, Helena, Lehmann-Horn, Klaus, Pongratz, Viola Maria, Schweiker, Andreas, Leddy, Lisa-Ann, Mueller, Silvia, Obergfell, Kim, Wanka, Marion, Zettl, Uwe Klaus, Klinke, Jan, Loebermann, Micha, Meister, Stefanie, Rimmele, Florian, Winkelmann, Alexander, Schroeder, Ina, Lau, Alexander Yuk-Lun, Au, Lisa Wing-Chi, Fan, Florence Sin-Ying, Ip, Vincent Hing-Lung, Ma, Karen Ka-Yan, Ma, Sze-Ho, Mok, Vincent Chung-Tong, Au, Cheryl Chung-Kwan, Kwan, Pauline Wing-Lam, Patti, Francesco, Caramma, Andrea Salvatore, Chisari, Clara Grazia, Fermo, Salvatore Lo, Messina, Silvia, Projetto, Maria, Caserta, Cinzia, Filla, Alessandro, Costabile, Teresa, Pane, Chiara, Sacca, Francesco, Marsili, Angela, Puorro, Giorgia, Bergamaschi, Roberto, Berra, Eliana, Mallucci, Giulia, Fattore, Cinzia, Gasperini, Claudio, Galgani, Simonetta, Haggiag, Shalom, Ruggieri, Serena, Vento, Claudio, Quartuccio, Esmeralda Maria, Pozzilli, Carlo, Barletta, Valeria Teresa, Borriello, Giovanna, De Giglio, Laura, Marinelli, Fabiana, Tasillo, Miriam, Amadori, Alessandra, Fischetti, Mariano, Gurreri, Flavia, Mori, Masahiro, Masuda, Hiroki, Ohtani, Ryohei, Sekiguchi, Yukari, Uchida, Tomohiko, Uzawa, Akiyuki, Ito, Hiromi, Kabasawa, Emi, Kaneko, Yoko, Matsushita, Takuya, Matsuse, Dai, Murai, Hiroyuki, Hayashi, Shintaro, Masak, Katsuhisa, Ogata, Hidenori, Shinoda, Koji, Uehara, Taira, Watanabe, Mitsuru, Yamaguchi, Hiroo, Yamasaki, Ryo, Yonekawa, Tomomi, Jingu, Maki, Nagano, Makiko, Nakamura, Yumiko, Sano, Yoshiko, Araki, Manabu, Lin, Youwei, Mori, Madoka, Mukai, Yohei, Sano, Terunori, Sato, Wakiro, Gogun, Naoya, Maeda, Yuriko, Nishimoto, Asami, Tsukamoto, Sachiko, Yanagi, Ritsuko, Saida, Takahiko, Nakamura, Shinichi, Nasu, Tetsuya, Saida, Kyoko, Shikata, Yuko, Kodani, Yoshimi, Saeki, Megumi, Sawada, Yukako, Yoshikawa, Hiroo, Kimura, Takashi, Nishi, Masamitsu, Sakamoto, Shun, Ukon, Shinichiro, Watanabe, Shohei, Ebisuya, Saori, Kimura, Nami, Matsuura, Manami, Morisaki, Yukie, Muroi, Yoshiko, Onishi, Kuniko, Oshima, Ikuko, Washino, Yuki, Yamashita, Tomomi, Misu, Tatsuro, Kaneko, Kimihiko, Kato, Masaaki, Kuroda, Hiroshi, Kurosawa, Kazuhiro, Nishiyama, Shuhei, Ono, Hirohiko, Takai, Yoshiki, Abe, Keiko, Hoshi, Hitomi, Jinushi, Mari, Oyama, Azusa, Sakuma, Motonari, Sawada, Yuko, Ishibashi, Satoru, Yokota, Takanori, Nishida, Yoichiro, Ozaki, Kokoro, Sanjo, Nobuo, Sato, Nozomu, Denno, Fuki, Hiraki, Haruko, Matsubara, Yumi, Kanda, Takashi, Abe, Masaaki, Honda, Masaya, Kawai, Motoharu, Koga, Michiaki, Maeda, Toshihiko, Ogasawara, Junichi, Omoto, Masatoshi, Sano, Yasuteru, Sato, Ryota, Shimizu, Fumitaka, Arima, Hideki, Fukui, Sachie, Ishikawa, Yoshiko, Koyama, Tomoko, Shimose, Shigemi, Shinozaki, Hirokazu, Watanabe, Masanori, Yasuda, Sachi, Yoshiwaka, Chieko, Adenan, Suffian, Aris, Mohd Azman M, Mawardi, Ahmad Shahir bin, Adnan, Muhammad Al Hafiz, Munusamy, Nanthini, Razali, Siti Nur Omaira, Somasundram, Punitha, Hyun, Jae Won, Jeong, In Hye, Kim, Su-Hyun, Shin, Hyun-June, Yoo, Ji Sung, Jang, HyunMin, Joung, AeRan, Kim, Byung-Jo, Baek, Seol-Hee, Kim, Jung Bin, Kim, Yoo Hwan, Koo, Yong Seo, Lee, Chan Nyoung, Seok, Hung Youl, Hwang, Jinhee, Kim, Sung Min, Ahn, So Hyun, Choi, Kyomin, Choi, Seok-Jin, Kim, Jun-Soon, Kwon, Young Nam, Shin, Je-Young, Kwon, Hyeonju, Kim, Byoung Joon, Cho, Eun Bin, Cho, Hye-Jin, Choi, Misong, Kim, DongSun, Kim, Ju Hyeon, Ki, SeungJu, Lee, Hye Lim, Lee, Kwang-Ho, Min, Ju-Hong, Park, Ji-Hyung, Seok, Jinmyoung, Choi, Eunhwa, Park, Sang Ae, Kim, Seung Min, Jeong, Ha-Neul, Jeongbin, Bong, Jung, Jin Woo, Kim, Seung Woo, Kim, Yool-hee, Lee, Hyung Seok, Shin, Ha Young, Jung, Yeon, Kim, Min Jung, Lee, Nou Ri, Shin, MiJu, Khabirov, Farit A, Averyanova, Lyudmila, Babicheva, Natalya, Granatov, Eugenii, Kazarov, Sergey, Khaybullin, Timur, Rogozhin, Alexander, Pokhabov, Dmitry V, Abramov, Vladislav, Amelina, Anastasia, Nesteroca, Yulia, Bozhenkina, Tatyana, Boyko, Aleksey N, Demyan, Elena G, Khoroshilova, Inessa, Melnikov, Mikhail, Popova, Ekaterina V, Sharanova, Svetlana N, Shchur, Sergey G, Sazonov, Denis V, Babenko, Larisa, Bayandina, Elena, Yarmoschuk, Asya, Baliazin, Victor A, Baliazina, Elena, Budaeva, Elena, Chernikova, Irina, Goncharova, Zoya, Krasnov, Vladimir, Myatleva, Marina, Rodionova, Olga V., Samulyzhko, Iuliana, Timofeeva, Alla A., Duran, Sabas Boyero, Bilbao, Maria Mar Mendibe, Cuervo, Irene Diaz, Domingo, Jose Maria Losada, Eizaguirre, Amaia Gonzalez, Llona, Jose Eulalio Barcena, Moyano, Roberto Valverde, Bahamonde, Carmen, Lopez, Fernando Sanchez, Morales, Raquel Pinar, Morales, Eduardo Agüera, Roman, Carmen Bahamonde, Sepulveda, Juan Jose Ochoa, Valero, Maria del Carmen Blanco, Viña, Nazaret Pelaez, Gavilan, Cristina Conde, Sanchez, Ana Maria Jover, Bedmar, Sara Vila, Garcia, Nuria Gonzalez, Garcia, Aida Orviz, Gonzalez-Suarez, Ines, Guillamon, Elena Miñano, Kawiorski, Miguel, Schulz, Elena Guerra, Alonso, Alba Garcia, Perez, Francisco Jesus Lopez, Sarmiento, Marta Palacios, Ayuso, Guillermo Izquierdo, Mascarell, Guillermo Navarro, Camino, Cristina Paramo, Garcia, Asuncion Varas, Mendoza, Yaiza Montserrat, Muñoz, Veronica Ines Vargas, Tonda, Patricia Torres, Tsai, Ching-Piao, Yin, Jiu-Haw, Chen, Mei-Jung, Li, Shan-Ni, Wang, Fei-Ti, Srisuwannanukorn, Suwat, Boonmongkol, Thanatat, Borisutbuathip, Duangporn, Singwicha, Duangkamol, Siritanan, Krittika, Thearapati, Chidchanoke, Sornda, Kwanmuang, Apiwattanakul, Metha, Aungsumart, Saharat, Suanprasert, Narupat, Suksuchano, Kaona, Parkinsee, Nittaya, Kulkantrakorn, Kongkiat, Lolekha, Praween, Potigumjon, Artit, Sukphulloprat, Puchit, Suksasunee, Dararat, Komaratat, Chankawee, Luangtong, Sunattana, Arayawichanont, Arkhom, Konpan, Phanpaphon, Riablershirun, Nathapol, Wiroteurairuang, Thaddao, Jantaweesirirat, Panadda, Kurne, Aslı, Erkent, Irem, Kurt, Ebru Bekircan, Saylam, Ezgi, Caliskan, Yagmur, Orsel, Gulsah, Celik, Yahya, Celebi, Canan, Tekatas, Aslan, Banbal, Tugce, Demir, Gulsen Akman, Altunrende, Burcu, Matur, Zeliha, Topcular, Baris, Elmas, Tules, Gulo, Aysenur, Ozdemir, Selin, Ozkoklesen, Cansu, Ozturk, Mahinur, Yanik, Mertkan, Yildirim, Elif, Tutuncu, Melih, Altintas, Ayse, Cam, Abdulsamet, Elmali, Ayse Deniz, Saip, Sabahattin, Siva, Aksel, Tanrıverdi, Uygur, Uygunoglu, Ugur, Caliskan, Sinem, Gulo, Pinar, Kozig, Esra, Sakiz, Sakine, Sengun, Ihsan Sukru, Idiman, Egemen, Ala, Rahmi Tumay, Arslan, Duygu, Bulut, Utku, Karakaptan, Yasemin, Kaya, Derya, Mehdiyev, Zaur, Balkan, Bengu, Kuku, Berfu, Ozhun, Mujgan, Tuga, Celal, Ugur, Muzeyyen, Efendi, Husnu, Bunul, Sena Destan, Cavus, Hakan, Gorke, Yunus Emre, Kutlu, Ayse, Ozturk, Seda, Sarikaya, Cansu Egilmez, Becerikli, Gulsah, Semiz, Cansu, Tun, Ozlem, Ayer, Sehriban, Onar, Musa Kazim, Ozberk, Mehlika Berra, Sen, Sedat, Cavdar, Tugce Kirbas, Veske, Adife, Boz, Cavit, Altiparmak, Didem, Aydin, Cigdem Ozen, Gazioglu, Sibel, Bekircan, Duygu, Jacob, Anu, Arndt, Heike, Elsone, Liene, Hamid, Shahd Hassan Mahmoud, Whittam, Daniel Hugh, Wilson, Martin, O'Brien, Imelda, Leite, Maria Isabel da Silva, Cruz, Pedro Maria Rodriguez, Jenkins, Damian Robert, Tackley, George, Cavey, Ana, Everett, Rosie, Hodder, Joy, Koelewyn, Abigail, Mowry, Ellen, Royal, Walter, III, Shin, Robert, Bever, Christopher, Jr, Harrison, Daniel, Rus, Horea, Zheng, Wei, Callison, Karen, Naunton, Kerry, Frishberg, Benjamin M, Blumenfeld, Andrew M, Inocelda, Andrew, Korabathina, Kalyani, Lobatz, Michael, Mortin, Melissa M, Oh, Irene J, Rosenberg, Jay H, Sadoff, Mark, Sahagian, Gregory A, Wang, Anchi, Camberos, Yasmin, Sanchez, Guadalupe, Soto, Estela, Nicholas, Jacqueline A, Boster, Aaron, Eubank, Geoffrey, Groezinger, Katy, Lauf, Meghan, Okai, Annette F, Hasan, Rashedul, Khoury, Chaouki, Stokes, Victoria, Clardy, Stacey, Cortez, Melissa, Greenlee, John, Rose, John, Soldan, Mateo Paz, Emett, Amanda, Esquibel, Lawanda, Fagatele, Lilly, Wong, Ka-Ho, Stevens, James C, Banas, Thomas M, Bultemeyer, Marlene C, Haller, Andrea, Manalo, Natalie, Aeschliman, Keri, Kocks, Debi, Racke, Michael, Boster, Aaron Lee, Bowman, Michelle, Imitola, Jaime, Kisanuki, Yasushi, Green, Misty, Scarberry, Stephanie, Lynch, Sharon G, Anderson, Heather S, Gronseth, Gary S, Hammond, Nancy E, Jassam, Yasir N, Mittal, Manoj K, Nashatizadeh, Muhammed M, Levine, Nicholas, Schmidt, Lisa, Sibley, Jill, Whitley, Vonda, Winkley, James, Coleman, Timothy, Cooper, Gregory, Sheffield, Stephanie, Turner, Keri, Galloway, Dana, Tillett, Robert S, Jr, Ganesh, Geeta A, Plato, Brian M, Seifert, Tad D, Godwin, Diana, Lockridge, Deborah, Rammohan, Kottil W, Sheremata, William A, Delgado, Silvia, Gonzalez, Jose, Lizarraga, Alexis, Maldonado, Janice, Ortega, Melissa, Tornes, Leticia, Babcock, Yanet, Cailam, Osmara, Campos, Yesica, Couvertier, Irlisse, Daneri, Bettina, Deni, Jeremy, Hernandez, Jeffrey, Jaramillo, Tatiana, Morris, Tenita, Nobel, Daniel, Oliveira, Anjelis, Richardson, Reshma, Rodriguez, Gloria, Romero, Ana, Sandova, Carlos, Sawant, Ruta, Tueros, Lissett, Zetka, Eric S, Zheng, Chao, Jacobs, Daniel H, Easterling, Constance, Fairbank, Jennifer, Iyengar, Revathi, Klafter, Mark, Lindquist, Justin, Sadek, Ahmed H, Toro, Elizabeth Carmona, Verma, Navin, Castro, Brigith Patino, Sukhraj-Singh, Nadia, Berger, Joseph, Williamson, Eric, Chahin, Salim, Jacobs, Dina, Markowitz, Clyde, Dobbins, Jessica, Mace, Lauren, Martin, Maria, Pinckney, Ashley, Roberts, Amber, Zaydan, Islam, Mitchell, Galen W, Heyman, Rock A, Orie, Ryan L, Suski, Valerie R, Oddis, Kerry, Punjack, Darlene, Flanagan, Eoin, Gadoth, Avi, McKeon, Andrew, Tobin, W Oliver, Zekeridou, Anastasia, Dunlay, Katie, Sagen, Jessica, Carter, Jonathan L, Estephan, Bachir, Goodman, Brent P, Snyder, Charlene R Hoffman, Francone, Andrea, Galasky, Irene, Thomas, Martha, Repovic, Pavle, Bowen, James, Mayadev, Angeli, Qian, Peiqing, Courtney, Yuriko, Lennox, Lauren, Naismith, Robert Thomas, Cross, Anne Haney, Evans, Emily, Longbrake, Erin E, Orchard, Megan E, Wu, Gregory F, Heinrich, Linda, Sommers, Susan, Amjad, Faria, Mitchell, Erika, Mora, Carlos, Schreiber, Bethany, Tornatore, Carlo, Carlson, Alexis, McCarthy, Sacha, Oliver, Alexandria, Palace, Jacqueline, Wingerchuk, Dean M., Fujihara, Kazuo, Berthele, Achim, Oreja-Guevara, Celia, Kim, Ho Jin, Nakashima, Ichiro, Levy, Michael, Terzi, Murat, Totolyan, Natalia, Viswanathan, Shanthi, Wang, Kai-Chen, Pace, Amy, Yountz, Marcus, Miller, Larisa, Armstrong, Róisín, and Pittock, Sean

Published
2021
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46. Deep learning from head CT scans to predict elevated intracranial pressure.

Author

Sato, Ryota, Akiyama, Yukinori, Mikami, Takeshi, Yamaoka, Ayumu, Kamada, Chie, Sakashita, Kyoya, Takahashi, Yasuhiro, Kimura, Yusuke, Komatsu, Katsuya, and Mikuni, Nobuhiro

Subjects
*INTRACRANIAL hypertension, *COMPUTED tomography, *BRAIN injuries, *NEUROSURGERY, *HEAD injuries, *DEEP learning
Abstract

Background and Purpose: Elevated intracranial pressure (ICP) resulting from severe head injury or stroke poses a risk of secondary brain injury that requires neurosurgical intervention. However, currently available noninvasive monitoring techniques for predicting ICP are not sufficiently advanced. We aimed to develop a minimally invasive ICP prediction model using simple CT images to prevent secondary brain injury caused by elevated ICP. Methods: We used the following three methods to determine the presence or absence of elevated ICP using midbrain‐level CT images: (1) a deep learning model created using the Python (PY) programming language; (2) a model based on cistern narrowing and scaling of brainstem deformities and presence of hydrocephalus, analyzed using the statistical tool Prediction One (PO); and (3) identification of ICP by senior residents (SRs). We compared the accuracy of the validation and test data using fivefold cross‐validation and visualized or quantified the areas of interest in the models. Results: The accuracy of the validation data for the PY, PO, and SR methods was 83.68% (83.42%‐85.13%), 85.71% (73.81%‐88.10%), and 66.67% (55.96%‐72.62%), respectively. Significant differences in accuracy were observed between the PY and SR methods. Test data accuracy was 77.27% (70.45%‐77.2%), 84.09% (75.00%‐85.23%), and 61.36% (56.82%‐68.18%), respectively. Conclusions: Overall, the outcomes suggest that these newly developed models may be valuable tools for the rapid and accurate detection of elevated ICP in clinical practice. These models can easily be applied to other sites, as a single CT image at the midbrain level can provide a highly accurate diagnosis. [ABSTRACT FROM AUTHOR]

Published
2024
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48. ISUT's Information Support Activities in the Heavy Rain Since July 1, 2021.

Author

Sato, Ryota, Yoshimori, Kazushiro, Yusa, Satoru, and Usuda, Yuichiro

Subjects
EMERGENCY management, INFORMATION sharing, TEAMS
Abstract

We report the information support activities conducted by the Information Support Team (ISUT) in the heavy rain since July 1, 2021, after it was dispatched to Shizuoka Prefecture. During the activities, ISUT-SITE and other information were provided and utilized by the disaster response organizations. This study reports on the characteristics and future issues in this disaster response activity. [ABSTRACT FROM AUTHOR]

Published
2024
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50. IgG Fc sialylation is regulated during the germinal center reaction following immunization with different adjuvants

Author

Bartsch, Yannic C., Eschweiler, Simon, Leliavski, Alexei, Lunding, Hanna B., Wagt, Sander, Petry, Janina, Lilienthal, Gina-Maria, Rahmöller, Johann, de Haan, Noortje, Hölscher, Alexandra, Erapaneedi, Raghu, Giannou, Anastasios D., Aly, Lilian, Sato, Ryota, de Neef, Louise A., Winkler, André, Braumann, Dominique, Hobusch, Juliane, Kuhnigk, Kyra, Krémer, Vanessa, Steinhaus, Moritz, Blanchard, Véronique, Gemoll, Timo, Habermann, Jens K., Collin, Mattias, Salinas, Gabriela, Manz, Rudolf A., Fukuyama, Hidehiro, Korn, Thomas, Waisman, Ari, Yogev, Nir, Huber, Samuel, Rabe, Björn, Rose-John, Stefan, Busch, Hauke, Berberich-Siebelt, Friederike, Hölscher, Christoph, Wuhrer, Manfred, and Ehlers, Marc

Published
2020
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