Search

Your search keyword '"Aoki, Takeshi"' showing total 17 results
Start Over Author "Aoki, Takeshi" Language undetermined
17 results on '"Aoki, Takeshi"'

1. The Dasātīr and the 'Āẕar Kaivān school' in Historical Context: Origin and Later Development

Author

Aoki, Takeshi

Subjects
Farhang-e Mo’aiyid al-Fożalāʾ, History, Religious studies, Āẕar Kaivān, Dasātīr, Ḥorūfism, Zoroastrianism
Abstract

The present paper aims to offer a new understanding of the so-called “Zoroastrian Illuminative philosophers in the sixteenth and seventeenth centuries,” namely the Āẕar Kaivān school. In the twentieth century, this school was understood to be a Zoroastrian phenomenon originating from Āẕar Kaivān (1533–1618), who is believed to have been born at Estakhr (Iran) and later to have immigrated to Patna (India). One way to sketch their texts is to notice their contents as the Zoroastrian Illuminative school, as H. Corbin did. But it may be more likely that the first principle for this school is a matter of ancient Persian culture, especially the Āsmānī language. Until recently, we knew little for certain about the origin of this Āsmānī vocabulary, except the inference that it might be the product of Āẕar Kaivān himself. But Sadeghi (2020) shows that the earliest mention of what would become the Āsmānī vocabulary can be confirmed in the Persian dictionary Farhang-e Mo’aiyid al-Fożalāʾ, compiled in India in 1519. The origin of the essential points of the Āẕar Kaivān school is not Āẕar Kaivān himself, but there were probably some pioneers in the Delhi Sultanate in India before him. Adding to this, a closer look at their writings shows that this school is not a monolith, but a complex of various preceding elements. The Illuminative Philosophy is just one of them. As such, it becomes possible to arrive at the conclusion that the Āẕar Kaivān school is not Āẕar Kaivān’s school. He simply put together the various elements that preceded him.

Published
2022

2. Impacts of 240Pu self-shielding effect and uncertainties of σ(n,γ) at resonance energy on the reactivity controllability in HTGR inert matrix fuel

Author

Aoki, Takeshi, SAGARA, Hiroshi, HAN, CHI YOUNG, and HAN, Chi Young

Subjects
Inert, Materials science, 020209 energy, Self-shielding, Thermodynamics, Resonance, TRISO, 02 engineering and technology, General Medicine, Self shielding, Plutonium, Controllability, Matrix (mathematics), HTGR, Deep Burn, 0202 electrical engineering, electronic engineering, information engineering, Reactivity (chemistry), MVP, Energy (signal processing)
Published
2018

3. A snapshot of the 2020 conception of anatomic liver resections and their applicability on minimally invasive liver surgery. A preparatory survey for the Expert Consensus Meeting on Precision Anatomy for Minimally Invasive HBP Surgery

Author

Ciria, Ruben, Berardi, Giammauro, Nishino, Hitoe, Chan, Albert C.Y., Chanwat, Rawisak, Chen, Kuo‐Hsin, Chen, Yajin, Cheung, Tan To, Fuks, David, Geller, David, Iwashita, Yukio, Liu, Rong, López‐Ben, Santiago, Yamamoto, Masakazu, Wakabayashi, Go, Abe, Yuta, Abu Hilal, Mohammed, Aoki, Takeshi, Asbun, Horacio, Cherqui, Daniel, Gotohda, Naoto, Han, Ho‐Seong, Hasegawa, Kiyoshi, Hatano, Etsuro, Honda, Goro, Itano, Osamu, Kato, Yutaro, Kaneko, Hironori, Kim, Ji Hoon, Monden, Kazuteru, Morimoto, Mamoru, Rotellar, Fernando, Sakamoto, Yoshihiro, Sugioka, Atsushi, Tanabe, Minoru, Yoshizumi, Tomoharu, Akahoshi, Keiichi, Ariizumi, Shunichi, Benedetti Cacciaguerra, Andrea, Duran, Manuel, Alconchel Gago, Felipe, Golse, Nicolas, Miyasaka, Yoshihiro, Mori, Yasuhisa, Ogiso, Satoshi, Shirata, Chikara, Tomassini, Federico, Urade, Takeshi, García Vázquez, Alain, Wakabayashi, Taiga, Endo, Itaru, Tsuchida, Akihiko, Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), and Université de Paris (UP)

Subjects
Liver surgery, medicine.medical_specialty, Consensus, [SDV]Life Sciences [q-bio], Liver resections, Resection, 03 medical and health sciences, 0302 clinical medicine, medicine, Hepatectomy, Humans, Minimally Invasive Surgical Procedures, Anatomic resection, ComputingMilieux_MISCELLANEOUS, Hepatology, business.industry, General surgery, Liver Neoplasms, Expert consensus, Portal vein flow, Congresses as Topic, 3. Good health, Liver anatomy, 030220 oncology & carcinogenesis, Hepatic veins, 030211 gastroenterology & hepatology, Surgery, Laparoscopy, business
Abstract

BACKGROUND The main aim of this survey was to analyze how liver surgeons perform liver resections and to define their conception of anatomic procedures within the incorporation of minimally invasive liver surgery (MILS). METHODS The survey was distributed among liver surgeons. It mainly focused on personal experience on open and MILS, methods and landmarks, and experience on anatomic resections and Glissonean approach. RESULTS A total of 445 valid answers from 54 countries was obtained. Surgeons performing MILS mainly have below 10 years of experience (81.8% of responders) and one third has never done complex MILS. New techniques, including indocyanine green demarcation are marginally used (

Published
2021

4. Additional file 1 of Increased neutrophil–lymphocyte ratio predicts recurrence in patients with well-differentiated pancreatic neuroendocrine neoplasm based on the 2017 World Health Organization classification

Author

Miura, Takayuki, Ohtsuka, Hideo, Aoki, Takeshi, Aoki, Shuichi, Hata, Tatsuo, Takadate, Tatsuyuki, Maeda, Shimpei, Ariake, Kyohei, Kawaguchi, Kei, Masuda, Kunihiro, Ishida, Masaharu, Mizuma, Masamichi, Nakagawa, Kei, Morikawa, Takanori, Fumiyoshi Fujishima, Kamei, Takashi, Sasano, Hironobu, and Unno, Michiaki

Subjects
fungi
Abstract

Additional file 1: Fig. S1. ROC curve for the NLR and tumor size in well-differentiated PanNENs. The ROC curve illustrated that NLR has an AUC of 0.664 (95% CI 0.464–0.864) and tumor size has an AUC of 0.801 (95% CI 0.675–0.945). Arrows indicate optimal cut-off values. Fig. S2. Recurrence-free-survival and overall survival for PanNENs stratified by the 2017 WHO classification. Recurrence-free-survival and overall survival of neuroendocrine carcinoma (NEC) were significantly shorter than those of well-differentiated PanNENs (NET G1-3). Fig. S3. Distribution of NLR in PanNENs stratified by the 2017 WHO classification. The value of NLR in patients with NEC was significantly higher than that in patients with well-differentiated PanNEN.

Published
2021
Full Text
View/download PDF

5. Shinzato_T_Suppl_mat_v04 – Supplemental material for Uric acid distribution volume calculated by kinetic modeling and extracellular volume predicted by bioimpedance method

Author

Shinzato, Toru, Nakai, Shigeru, Ito, Takahito, Shibata, Kazuhiko, Matsuoka, Teppei, Kato, Shinya, Aoki, Takeshi, Ikuto Masakane, Hayashi, Hiroki, Naotake Tsuboi, Hasegawa, Midori, Daijo Inaguma, Yuzawa, Yukio, and Ookawara, Susumu

Subjects
FOS: Biological sciences, 69999 Biological Sciences not elsewhere classified
Abstract

Supplemental material, Shinzato_T_Suppl_mat_v04 for Uric acid distribution volume calculated by kinetic modeling and extracellular volume predicted by bioimpedance method by Toru Shinzato, Shigeru Nakai, Takahito Ito, Kazuhiko Shibata, Teppei Matsuoka, Shinya Kato, Takeshi Aoki, Ikuto Masakane, Hiroki Hayashi, Naotake Tsuboi, Midori Hasegawa, Daijo Inaguma, Yukio Yuzawa and Susumu Ookawara in The International Journal of Artificial Organs

Published
2020
Full Text
View/download PDF

6. A Temperature-Risk and Energy-Saving Evaluation Model for Supporting Energy-Saving Measures for Data Center Server Rooms

Author

Masayoshi Komatsu, Kosuke Sasakura, Takeshi Watanabe, and Aoki Takeshi

Subjects
Control and Optimization, Relation (database), Computer science, Energy Engineering and Power Technology, energy simulation, data center, computer.software_genre, lcsh:Technology, Electrical and Electronic Engineering, Baseline (configuration management), Server room, Engineering (miscellaneous), Reliability (statistics), temperature prediction, baseline, machine learning, server room, temperature environment, energy saving, continuous and reliable operation, lcsh:T, Renewable Energy, Sustainability and the Environment, business.industry, Energy consumption, Virtualization, Reliability engineering, Data center, business, computer, Energy (miscellaneous)
Abstract

As data centers have become increasingly important in recent years their operational management must attain higher efficiency and reliability. Moreover, the power consumption of a data center is extremely large, and it is anticipated that it will continue to increase, so energy saving has become an urgent issue concerning data centers. In the meantime, the environment of the server rooms in data centers has become complicated owing to the introduction of virtualization technology, the installation of high-heat density information and communication technology (ICT) equipment and racks, and the diversification of cooling methods. It is very difficult to manage a server room in the case of such a complicated environment. When energy-saving measures are implemented in a server room with such a complicated environment, it is important to evaluate “temperature risks” in advance and calculate the energy-saving effect after the measures are taken. Under those circumstances, in this study, two prediction models are proposed: a model that predicts the rack intake temperature (so that the temperature risk can be evaluated in support of energy-saving measures implemented in the server room) and a model that evaluates the energy-saving effect (in relation to a baseline). Specifically, the models were constructed by using machine learning. The first constructed model evaluates the temperature risk in a verification room in advance, and it was confirmed that the model can evaluate the risk beforehand with high accuracy. The second constructed model—“baseline model” hereafter—supports energy-saving measures, and it was confirmed that the model can calculate the baseline (energy consumption) with high accuracy as well. Moreover, the effect of proposal process of energy-saving measures in the verification room was verified by using the two proposed models. In particular, the effectiveness of the model for evaluating temperature risk in advance and that of a technology for visualizing the energy-saving effect were confirmed.

Published
2020

7. Narrow Bore Drain Management after Video-assisted Thoracoscopic Surgery for Esophageal Cancer

Author

Murakami Masahiko, Otsuka Koji, Yamashita Takeshi, Ariyoshi Tomotake, Aoki Takeshi, and Goto Satoru

Subjects
Thesaurus (information retrieval), medicine.medical_specialty, business.industry, medicine.medical_treatment, General surgery, 030204 cardiovascular system & hematology, Esophageal cancer, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, Video-assisted thoracoscopic surgery, medicine, 030212 general & internal medicine, business, Simulation
Published
2016

8. Controlling Nutritional Status is Useful for Predicting Postoperative Complications in very Elderly Patients with Colorectal Cancer: A Retrospective Study

Author

Murakami Masahiko, Tomioka Kodai, Yamazaki Kimiyasu, Aoki Takeshi, Ozawa Yoshiaki, Otsuka Koji, Komoto Masahiro, Kitajima Tetsuya, Fujimori Akira, Saito Akira :筆頭著者:責任著者, and Watanabe Makoto

Subjects
03 medical and health sciences, medicine.medical_specialty, 0302 clinical medicine, business.industry, Colorectal cancer, General surgery, Medicine, Retrospective cohort study, Nutritional status, 030212 general & internal medicine, 030204 cardiovascular system & hematology, business, medicine.disease
Published
2016

9. Study on Data Center Optimal Management by utilizing Data Center Infrastructure Management

Author

Takeshi Watanabe, Kosuke Sasakura, and Aoki Takeshi

Subjects
0209 industrial biotechnology, Data center infrastructure management, Focus (computing), Computer science, business.industry, 020208 electrical & electronic engineering, 02 engineering and technology, Optimal management, 020901 industrial engineering & automation, Information and Communications Technology, Server, HVAC, 0202 electrical engineering, electronic engineering, information engineering, Systems engineering, Data center, Server room, business
Abstract

Data Centers (DCs) are becoming increasingly important in recent years and require efficient operation and management. Thus, a topic of focus has been DC Infrastructure Management (DCIM) that can manage ICT equipment, power equipment, HVAC systems, etc. In this study, we developed a method to design the ICT equipment layout in the server room by using DCIM and Computer Fluid Dynamics (CFD). The method's effectiveness was evaluated and its ability to achieve efficient data center operation and management was validated.

Published
2017

10. STUDY OF SIC-MATRIX FUEL ELEMENT FOR HTGR

Author

Mizuta Naoki, L Yan Xing, Ohashi Hirofumi, Aoki Takeshi, and Ueta Shohei

Subjects
Matrix (mathematics), Materials science, Nuclear engineering
Published
2019

11. Ticagrelor versus Aspirin in Acute Stroke or Transient Ischemic Attack

Author

Johnston, S Claiborne, Amarenco, Pierre, Albers, Gregory W, Denison, Hans, Easton, J Donald, Evans, Scott R, Held, Peter, Jonasson, Jenny, Minematsu, Kazuo, Molina, Carlos A, Wang, Yongjun, Wong, K S Lawrence, Ameriso, Sebastiá F, Donnan, Geoffrey, Lemmens, Robin, Massaro, Ayrton, Titianova, Ekaterina, Hill, Michael D, Lavados, Pablo, Skoloudik, David, Röther, Joachim, Norbert, Szegedi, Agnelli, Giancarlo, Bornstein, Natan, Tanahashi, Norio, Góngora, Angel Arauz, Pretell, Edwin, San Jose, Maria Cristina Z, Czlonkowska, Anna, Bajenaru, Ovidiu, Stakhovskaya, Ludmila, Brozman, Miroslav, Kim, Jong-Sung, Wahlgren, Nils, Michel, Patrik, Lee, Tsong Hai, Suwanwela, Nijasri Charnnarong, Kutluk, Kursad, Moskovko, Sergii, Kasner, Scott, Laskowitz, Daniel, Clark, Wayne, Nguyen, Huy Thang, Ameriso, Sebastián F, Ameriso, Sebastian, Lepera, Sandra, Romano, Marina, Paulon, David, Ioli, Pablo, Zurru, Cristina, Bruera, Guadalupe, Jure, Lorena, Klein, Francisco, Povedano, Guillermo, Levi, Christopher, Phan, Thanh, Markus, Romesh, Anderson, Craig, Sabet, Arman, Davis, Stephen, Lee, Andrew, Kleinig, Timothy, Wong, Andrew, Krause, Martin, Jannes, Jim, Wijeratne, Tissa, Hemelsoet, Dimitri, Peeters, André, Tack, Philippe, Vanacker, Peter, Laloux, Patrice, Van Landegem, William, Vanhooren, Geert, Desfontaines, Philippe, Van Orshoven, Marc, Oliveira, Fabio, Friedrich, Mauricio, Brondani, Rosane, Gagliardi, Rubens, Fabio, Soraia, Dracoulakis, Marianna, Bazan, Rodrigo, Marrone, Luiz, Pontes Neto, Octavio, Silva, Gisele, Kowacs, Pedro, Stamenova, Paraskeva, Daskalov, Marin, Staikov, Ivan, Baldaranov, Dimo, Maslarov, Dimitar, Lilovski, Hristo, Petkov, Plamen, Petrova, Neli, Mavrov, Radoslav, Markova, Veska, Petrova, Valeria, Beleva, Tanya, Kralev, Borislav, Sotirov, Nikolay, Lekova, Veska, Hristov, Dimcho, Ermenkova, Vera, Mateev, Lyudmil, Mitkova, Rumeliya, Haralanov, Liybomir, Ikonomov, Rosen, Mihailova, Margarita, Georgiev, Ivan, Shuaib, Ashfaq, Hachinski, Vladimir, Boulanger, Jean-Martin, Mann, Sharan, Hassan, Ayman, Mackey, Ariane, Menon, Bijoy, Minuk, Jeffrey, Siddiqui, Muzaffar, Eustace, Marsha, Vieira, Lucia, Selchen, Daniel, Beaudry, Michel, Stotts, Grant, Castro, Angel, Gasic, Kristo, Rivas, Rodrigo, Sanchez, Pablo, Roldan, Andres, Grossmann, Ingrid, Figueroa, Christian, Li, Jimei, Xu, Xiaolin, Chen, Huisheng, Li, Xiaohong, Yang, Yi, Zhang, Chunsheng, Wang, Baojun, Li, Guanglai, Wang, Dong, Lin, Hong, Tang, Yamei, Xu, Anding, Wang, Yanjiang, Hong, Wenke, Song, Zhi, Zhang, Xu, Jin, Xiaoping, Xu, Yun, Yan, Fuling, Zheng, Weihong, Wang, Xiaoping, Dong, Qiang, Zhao, Zhongxin, Zhang, Baorong, Zhong, Wangtao, Wen, Guoqiang, Xu, Jun, Li, Guozhong, Dong, Xueshuang, Tian, Xiangyang, Zhang, Zhaohui, Xu, En, Liu, Kaixiang, Chen, Jun, Skoda, Ondrej, Ehler, Edvard, Vaclavik, Daniel, Sanak, Daniel, Klimosova, Sylva, Vitkova, Eva, Fiksa, Jan, Mikulik, Robert, Neumann, Jiri, Plny, Richard, Leys, Didier, Sibon, Igor, Mas, Jean-Louis, Alamowitch, Sonia, Pico, Fernando, Hosseini, Hassan, Mahagne, Marie-Hélène, Touze, Emmanuel, Vadot, Wilfried, Vannier, Stéphane, Nighoghossian, Norbert, Samson, Yves, Garnier, Pierre, Ellie, Emmanuel, Guillon, Benoît, Timsit, Serge, Giroud, Maurice, Philippeau, Frédéric, Bagan-Triquenot, Aude, Wolff, Valérie, Raposo, Nicolas, Obadia, Michel, Debiais, Severine, Grimaud, Jérôme, Illouz, Stéphane, Smadja, Didier, Urbanczyk, Cédric, Berrouschot, Jörg, Weimar, Christian, Gahn, Georg, Soda, Hassan, Klimpe, Sven, Nabavi, Darius, Glahn, Jörg, Köhrmann, Martin, Krause, Lars, Terborg, Christoph, Urban, Peter, Steiner, Thorsten, Ferbert, Andreas, Dziewas, Rainer, Seidel, Günter, Thomalla, Götz, Wong, Ka Sing Lawrence, Li, Richard, Fong, Wing Chi, Cheung, Raymond, Szegedi, Norbert, Pozsegovits, Krisztián, Valikovics, Attila, Pánczél, Gyula, Rózsa, Csilla, Németh, László, Diószeghy, Péter, Óváry, Csaba, Csányi, Attila, Kerényi, Levente, Nagy, Valéria, Komoly, Sámuel, Bereczki, Dániel, Molnár, Sándor, Kondákor, István, Tanne, David, Raphaeli, Guy, Telman, Gregory, Leker, Ronen, Lampl, Yair, Corea, Francesco, Ricci, Stefano, Guidetti, Donata, Malferrari, Giovanni, Marcheselli, Simona, Micieli, Giuseppe, Zini, Andrea, Di Lazzaro, Vincenzo, Gandolfo, Carlo, Salmaggi, Andrea, Tassi, Rossana, Rasura, Maurizia, Orlandi, Giovanni, Comi, Giancarlo, Mancuso, Michelangelo, Delodovici, Marialuisa, Bovi, Paolo, Consoli, Domenico, Utsugisawa, Kimiaki, Fujita, Tsuneo, Kurihara, Hideyuki, Maruki, Chikashi, Hayashi, Takeshi, Ogiichi, Tsuneaki, Kumagai, Morio, Takenaka, Katsunobu, Toyoda, Kazunori, Takamatsu, Kazuhiro, Ogami, Ryo, Kin, Shigenari, Aoki, Takeshi, Takizawa, Katsumi, Omori, Shigehiro, Umezawa, Takehiko, Toba, Yasuyuki, Nonoyama, Yutaka, Nakagawa, Hidemitsu, Naka, Takashi, Morimoto, Masanori, Matsumoto, Shuichi, Hitotsumatsu, Tsutomu, Shingaki, Tatsuya, Okuda, Satoshi, Ota, Mamoru, Sakai, Nobuyuki, Yamada, Takeshi, Niwa, Jun, Fujita, Hitoshi, Moriki, Akihito, Yoshino, Kimihiro, Fukushima, Yoshihisa, Mori, Takahisa, Sato, Atsushi, Kusano, Yoshikazu, Kubo, Michiya, Yamazaki, Masashi, Ooasa, Takao, Nishizaki, Takafumi, Kitagawa, Naoki, Yasaka, Masahiro, Manabe, Yasuhiro, Yoshioka, Akira, Ishihara, Masayuki, Kagawa, Takato, Ichihashi, Toshikazu, Matsuoka, Hideki, Ito, Yasuhiro, Yamasaki, Masahiro, Takaba, Hitonori, Saito, Hisatoshi, Sato, Masahiro, Fukuda, Kazumasa, Endo, Sumio, Kidooka, Minoru, Umemura, Toshitaka, Kikkawa, Yuriko, Toru, Shuta, Yamada, Kentaro, Sakai, Hideki, Asari, Jun, Ezura, Masayuki, Nitta, Hisashi, Nagano, Keiko, Ochiai, Jun, Sakai, Keiichi, Kobayashi, Yasutaka, Yoshii, Yasuhiro, Miake, Hirotomo, Takita, Tomohiro, Taniguchi, Hidekazu, Kuroki, Kazuhiko, Mizota, Takamitsu, Yamamoto, Kenichi, Nakane, Hiroshi, Iwanaga, Takeshi, Chiba, Kei, Yoshimoto, Tetsuyuki, Torii, Tsuyoshi, Kitagawa, Takeo, Takashima, Hiroshi, Shirasaki, Naoki, Dehara, Makoto, Wada, Naomichi, Hamada, Kensuke, Kato, Noriyuki, Go, Yoshinori, Izumi, Ichiro, Ninomiya, Hirotomo, Kumai, Junichiro, Nakajima, Yoshikazu, Kaku, Yasuhiko, Isayama, Yukihiro, Kawanishi, Masahiro, Noda, Shinya, Yamamoto, Kazuhide, Hazama, Takanori, Takahashi, Hiroshi, Tanaka, Yohei, Hata, Takashi, Kazekawa, Kiyoshi, Furui, Eisuke, Hondo, Hideki, Sato, Nobuyuki, Kusunoki, Katsusuke, Nanri, Kazunori, Abe, Satoshi, Sasaoka, Noboru, Kuroyanagi, Takayuki, Suzuki, Hisahiko, Fukuyama, Kouzou, Nakahara, Kimihiro, Gongora, Fernando, Brito, Carlos Cantú, Careaga, Jorge Villarreal, Alfaro, Rosalia Vazquez, Leytte, Geronimo Aguayo, Berrospi, Percy, Chavez, Carlos, Rodriguez, Liliana, Custodio, Nilton, Castañeda, Cesar, Perez, Julio, Marquez, Sandra Vargas, San Jose, Maria Cristina, Baroque, Alejandro, Collantes, Ma Epifania, Aquino, Abdias, Díaz, Alejandro, Roxas, Artemio, Lokin, Johnny, Advincula, Joel, Calderon, Emerito, Navarro, Jose, Hiyadan, John, Surdilla, Arturo, Ryglewicz, Danuta, Krychowiak, Grzegorz, Fryze, Waldemar, Sobolewski, Piotr, Nowak, Ryszard, Fiszer, Urszula, Papierowska, Beata, Zieli?ska-Turek, Justyna, Lasek-Bal, Anetta, Ko?odziejska, Ewa, Kami?ska, Anna, Adamkiewicz, Bo?ena, Tutaj, Andrzej, Szkopek, Dorota, Musiatowicz, Krzysztof, B?k, Zbigniew, Brzozowski, S?awomir, Brola, Waldemar, Ferens, Antoni, Zalisz, Marek, Rejdak, Konrad, Rudzi?ska, Monika, Panea, Cristina, Simu, Mihaela, Balasa, Rodica, Cuciureanu, Iulian, Popescu, Bogdan, Sabau, Monica, Roman-Filip, Corina, Stakhovskaya, Liudmila, Pimenov, Leonid, Gekht, Alla, Milto, Anna, Shchukin, Ivan, Parfenov, Vladimir, Arkhipov, Mikhail, Vishneva, Elena, Sokolova, Nadezhda, Bogdanov, Enver, Esin, Radiy, Khasanova, Dina, Golikov, Konstantin, Melnikova, Elena, Zaslavskiy, Leonid, Voznyuk, Igor, Nazarov, Alexander, Akhmadeeva, Leila, Iakupova, Aida, Shamalov, Nikolay, Belskaya, Galina, Chuprina, Svetlana, Denisova, Olga, Drozdova, Ekaterina, Karakulova, Yuliya, Sholomov, Ilya, Spirin, Nikolay, Vostrikova, Elena, Mordvintseva, Elena, Grigoryeva, Vera, Zateyshchikov, Dmitry, Gorbachev, Vladimir, Chefranova, Zhanna, Dudarev, Mikhail, Nilk, Rostislav, Rozhdestvenskiy, Alexey, Gurcik, Ladislav, Dvorak, Miloslav, Krastev, Georgi, Kurca, Egon, Vyletelka, Juraj, Kim, Jong Sung, Bae, Hee-Joon, Kim, Yong-Won, Kim, Joon-Tae, Cha, Jae-Kwan, Nam, Hyo Suk, Chang, Dae-Il, Lee, Yong-Seok, Oh, Kyungmi, Yu, Sung-Wook, Sohn, Sung-Il, Lee, Jun, Cho, Han Jin, Kim, Eung-Gyu, Rha, Joung-Ho, Kim, Seo Hyun, Cateriano, Carlos Molina, Leal, Joaquín Serena, Mora, José Vivancos, Yañez, Manuel Rodríguez, González, Jaume Roquer, García, Francisco Purroy, Cortina, Meritxell Gomis, Vallejo, Jaime Masjuan, Lara, Juan Arenillas, Martín, Tomás Segura, Herrero, José Antonio Egido, Ferrairó, Jose Ignacio Tembl, Culleré, Jaime Gállego, Álvarez, Francisco Moniche, Steinberg, Anna, Callander, Margarita, Laska, Ann Charlotte, Bokemark, Lena, Mooe, Thomas, Käll, Tor-Björn, Welin, Lennart, Sjöblom, Lars, Hambraeus, Joakim, Teichert, Jörg, Wannberg, Hans, Sanner, Johan, Ramströmer, Bo, Ziedén, Bo, Hau, Stefan Olsson, Gustafsson, Claes, Kahles, Timo, Lyrer, Philippe, Arnold, Marcel, Liesch, Martin, Medlin, Friedrich, Cereda, Carlo, Kägi, Georg, Luft, Andreas, Carrera, Emmanuel, Lee, Tsong-Hai, Po, Helen L, Chern, Chang-Ming, Lien, Li-Ming, Chan, Lung, Liu, Chung-Hsiang, Wu, Shey-Lin, Lee, Jiann-Der, Chen, Chih-Hung, Lin, Huey-Juan, Lin, Ruey-Tay, Chen, Wei-Hsi, Sun, Yu, Tantirittisak, Tasanee, Muengtaweepongsa, Sombat, Nilanont, Yongchai, Tiamkao, Somsak, Udommongkol, Chesda, Watcharasaksilp, Kanokwan, Jantararotai, Witoon, Sirin, Hadiye, Ince, Birsen, Asil, Talip, Arsava, Murat, Incesu, Tulay Kurt, Tireli, Hulya, Kucukoglu, Hayriye, Ak, Fikri, Unal, Ali, Ozturk, Serefnur, Uzuner, Nevzat, Chmyr, Galyna, Lebedynets, Volodymyr, Nikonov, Vadym, Shulga, Lyudmyla, Smolanka, Volodymyr, Khavunka, Marta, Yavorska, Valentyna, Tomakh, Nataliya, Kozyolkin, Olexandr, Litovaltseva, Galyna, Lansberg, Maarten, Bernstein, Richard, Brown, David, Dissin, Jonathan, Graffagnino, Carmelo, Harris, Jonathan, Hicks, William, Katzan, Irene, Kramer, Jeffrey, Willey, Joshua, Silliman, Scott, Starkman, Sidney, Thaler, David, Tremwel, Margaret, Concha, Mauricio, Rajamani, Kumar, Dandapani, Bhuvaneswari, Silver, Brian, Deal, Nathan, Chang, Ira, Hassan, Ameer, Rudolph, Steven, Fischer, Kenneth, Kirshner, Howard, Logan, William, Mallenbaum, Sidney, Hefzy, Hebah, Latorre, Julius, Levine, Steven, Ciabarra, Anthony, Dafer, Rima, Anyanwu, Benjamin, Cherian, Laurel, Panezai, Spozhmy, Khanna, Anna, Dodds, Jodi, Torbey, Michel, Gebel, James, Woo, Henry, Chiu, David, Androulakis, Xiao, Burgin, William, Pineda, Maria, Yilmaz, Engin, Altafullah, Irfan, Boutwell, Christine, Cruz-Flores, Salvador, Sapkota, Biggya, Fayad, Pierre, Jacoby, Michael, Rafiq, Shahid, Salgado, Efrain, Lafranchise, Eugene, Felton, Warren, Madhavan, Ramesh, Zaidat, Osama, Pieper, Connie, Riviello, Ralph, Burnett, Aaron, Fischer, Michelle, Gentile, Nina, Calder, Christopher, Dietrich, Dennis, Cross, Jonathan, Blankenship, Larry, Montoya, Liliana, Grogan, Wendell, Young, Mark, Khan, Farrukh, Campbell, Duane, Daboul, Nizar, Espinoza, Andrey, Cullis, Paul, Concepcion, Gilberto, Wulff, John, Afzal, Haider, Jaffrani, Naseem, Reiter, William, Arshad, Tamjeed, Lukovits, Timothy, Welker, James, Chang, Fen Lei, Badruddin, Aamir, Babikian, Viken, Menon, Ravi, Sander, James, Springer, Mellanie, Nanda, Ashish, Mas, Luis, Rajan, Raj, Silverman, Bruce, Huang, David, Carpenter, David, Clark, Joni, Ching, Marilou, Santhakumar, Sunitha, Gould, Jeffrey, Bansal, Vibhav, Vidal, Gabriel, Mikesell, Timothy, Brick, John, French, William, Shah, Qaisar, Holmstedt, Christine, Ishag-Osman, Nadir, Kostis, John, Shehadeh, Abbas, Sethi, Pramodkumak, Imam, Asher, Mccomas, Carl, Tran, Duc, Gebreyohanns, Mehari, Wiseman, Brian, Malik, Maheen, Schwarcz, Aron, Altschul, Dorothea, Castaldo, John, Alshekhlee, Amer, Gancher, Stephen, Krish, Nagesh, Nguyen-Huynh, Mai, Tremwell, Margaret, Sharma, Jitendra, Lee, Lance, Neil, William, Siddiqui, Fazeel, Malek, Ali, Romero, Charles, Huy, Thang Nguyen, Hoang, Hoa, Nguyen, Thang, Nguyen, Anh, Nguyen, Hung, Dean's Office (DO - AUSTIN), University of Texas at Austin [Austin], Laboratoire de Recherche Vasculaire Translationnelle (LVTS (UMR_S_1148 / U1148)), Université Paris 13 (UP13)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Bichat - Claude Bernard, Stanford Stroke Center, Stanford University Medical Center, AstraZeneca, Harvard T.H. Chan School of Public Health, National Cerebral and Cardiovascular Center (NCCC - OSAKA), Osaka University [Osaka], Stroke Unit (SU - BARCELONE), Vall d'Hebron University Hospital [Barcelona], Department of Neurology (Dep Neuro - BEIJING), Tiantan Hospital, Department of Medicine and Therapeutics [Hong Kong], The Chinese University of Hong Kong [Hong Kong], Murdoch University, Service de Neurologie [Brest], Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Centre d'Investigation Clinique (CIC - Brest), and Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Male, Ticagrelor, Adenosine, Medizin, Aged, Aspirin, Double-Blind Method, Female, Hemorrhage, Humans, Ischemic Attack, Transient, Kaplan-Meier Estimate, Middle Aged, Platelet Aggregation Inhibitors, Purinergic P2Y Receptor Antagonists, Stroke, Medicine (all), 030204 cardiovascular system & hematology, Stringa autori originale: Johnston SC, Easton JD, 0302 clinical medicine, Myocardial infarction, Ischemic Attack, Transient, General Medicine, Clopidogrel, Denison H, 3. Good health, Minematsu K, Wang Y, SOCRATES Steering Committee and Investigators. - Free full-text sul sito dell'editore, Anesthesia, Platelet aggregation inhibitor, Evans SR, medicine.drug, Stringa autori originale: Johnston SC, Amarenco P, Albers GW, Denison H, Easton JD, Evans SR, Held P, Jonasson J, Minematsu K, Molina CA, Wang Y, Wong KS, Ischemia, Loading dose, Molina CA, 03 medical and health sciences, medicine, business.industry, Jonasson J, medicine.disease, Albers GW, Amarenco P, Held P, Wong KS, business, 030217 neurology & neurosurgery, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

International audience; Ticagrelor may be a more effective antiplatelet therapy than aspirin for the prevention of recurrent stroke and cardiovascular events in patients with acute cerebral ischemia.; We conducted an international double-blind, controlled trial in 674 centers in 33 countries, in which 13,199 patients with a nonsevere ischemic stroke or high-risk transient ischemic attack who had not received intravenous or intraarterial thrombolysis and were not considered to have had a cardioembolic stroke were randomly assigned within 24 hours after symptom onset, in a 1:1 ratio, to receive either ticagrelor (180 mg loading dose on day 1 followed by 90 mg twice daily for days 2 through 90) or aspirin (300 mg on day 1 followed by 100 mg daily for days 2 through 90). The primary end point was the time to the occurrence of stroke, myocardial infarction, or death within 90 days.; During the 90 days of treatment, a primary end-point event occurred in 442 of the 6589 patients (6.7%) treated with ticagrelor, versus 497 of the 6610 patients (7.5%) treated with aspirin (hazard ratio, 0.89; 95% confidence interval [CI], 0.78 to 1.01; P=0.07). Ischemic stroke occurred in 385 patients (5.8%) treated with ticagrelor and in 441 patients (6.7%) treated with aspirin (hazard ratio, 0.87; 95% CI, 0.76 to 1.00). Major bleeding occurred in 0.5% of patients treated with ticagrelor and in 0.6% of patients treated with aspirin, intracranial hemorrhage in 0.2% and 0.3%, respectively, and fatal bleeding in 0.1% and 0.1%.; In our trial involving patients with acute ischemic stroke or transient ischemic attack, ticagrelor was not found to be superior to aspirin in reducing the rate of stroke, myocardial infarction, or death at 90 days. (Funded by AstraZeneca; ClinicalTrials.gov number, NCT01994720.).

Published
2016

12. Street Performance Robot Contest as Practice in Creativity Education

Author

Endo, Gen, Aoki, Takeshi, Suzuki, hideaki, 福島, E. 文彦, FUKUSHIMA, EDWARDO FUMIHIKO, and HIROSE, SHIGEO

Subjects
Engineering, General Computer Science, Multimedia, business.industry, media_common.quotation_subject, CONTEST, computer.software_genre, Creativity, ComputingMilieux_COMPUTERSANDEDUCATION, Robot, Electrical and Electronic Engineering, business, computer, media_common
Abstract

This paper introduces the curriculum for creativity education that has been conducted at the Department of Mechano-Aerospace Engineering, Tokyo Institute of Technology, for 20 years, for the purpose of systematization of education using robots. In particular, we describe the significance of the lecture and operational know-how of contests for street performance robots, which we have continuously held in the course called “machine creation.” The results of a questionnaire survey of students indicate that this course is a valuable experience for students.

Published
2011

13. Predictive Dynamics-Based Motion Control for the Rough-Terrain Locomotion of the Personal Vehicle Falcon-III

Author

EWERTON, ICKOWZCY, Ickowzcy, Ewerton, Aoki, Takeshi, and HIROSE, SHIGEO

Subjects
Model predictive control, General Computer Science, Computer science, Control theory, Terrain, Control engineering, Electrical and Electronic Engineering, Predictive dynamics, Motion control, Falcon, Fuzzy logic, computer, computer.programming_language
Abstract

A predictive control strategy aiming to reduce the impact generated on a personal vehicle during obstacle negotiation is proposed. Similarly to the motion executed by a cyclist when he/she is about to negotiate a step, the motion strategy uses a dynamic effect to temporarily reduce the load on the wheel of the vehicle that must negotiate the obstacle, thus reducing the impact force as well. Such motion control strategy was developed for the three-wheeled personal vehicle Falcon-III. The vehicle behavior using the predictive control strategy was first investigated for basic cases, such as when only one of the wheels had to negotiate an obstacle; later, the strategy was generalized by combining the motion derived for the basic cases. Robustness is achieved by the use of fuzzy logic to infer the displacement of the ZMP required to negotiate different obstacles. The predictive motion control strategy was compared with a conventional feedback attitude control strategy, and was shown to produce smaller impacts than simply using the feedback strategy.

Published
2011

15. Feedback and predictive motion control strategies for the off-road locomotion of the three-wheeled personal vehicle Falcon-III

Author

EWERTON, ICKOWZCY, Ickowzcy, Ewerton, Aoki, Takeshi, and HIROSE, SHIGEO

Subjects
Attitude control, Engineering, Model predictive control, Traverse, business.industry, Lift (data mining), Obstacle, Terrain, Mobile robot, Motion control, business, Simulation
Abstract

Falcon-III is a robotic personal vehicle that has been designed for uneven terrain usage. It has a two-degree-of-freedom suspension mechanism that allows the passenger's seat orientation (pitch and roll) to be controlled by actively adjusting the height of its wheels. This paper discusses the motion control of such a vehicle on rough terrain. In particular, we show that a feedback control law that measures the vehicle seat attitude and acts to correct it, aiming at maintaining the horizontal seat posture during the traversing of uneven terrain, is by itself insufficient to provide satisfactory performance on certain types of terrain. Therefore, we propose a predictive motion control strategy, in addition to the feedback control law, that dynamically controls the vehicle suspension in order to facilitate the negotiation of obstacles - the motion executed is somewhat similar to that performed by a cyclist when overcoming a step-like obstacle. When tall step-like obstacles have to be negotiated, it may be necessary to dynamically lift one of the wheels from the ground, in which case a gait pattern emerges.

Published
2011

17. Some Properties of Ion-Plated Silver Films

Author

Aoki Takeshi, Hideo Yoshihara, Shigeru Umemura, and Mikiho Kiuchi

Subjects
Materials science, Chemical engineering, Mechanics of Materials, Materials Chemistry, Metals and Alloys, Condensed Matter Physics, Ion
Published
1977

Catalog

Books, media, physical & digital resources
See catalog results