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2,163 results on '"Watanabe, Koichi"'

3. Dynamic Characteristics of Seismic Isolation with Quasi-Zero Stiffness, Rotational Inertia

Author

Iba, Jun, Watanabe, Koichi, Miyamoto, Kou, Ishii, Ken, Kikuchi, Masaru, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Sadan, Bahadir, editor, Tuzun, Cuneyt, editor, and Erdik, Mustafa, editor

Published
2024
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7. Verification of Actual Displacement Scaled Displacement-Control System with High-Static-Low-Dynamic Stiffness and Rotational Inertia for Seismic Isolation

Author

Iba, Jun, Watanabe, Koichi, Miyamoto, Kou, Ishii, Ken, Kikuchic, Masaru, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, and Cimellaro, Gian Paolo, editor

Published
2023
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11. Faecalibacterium taiwanense sp. nov., isolated from human faeces

Author

Liou, Jong-Shian, primary, Zhang, Wei-Ling, additional, Hsu, Li-Wen, additional, Chen, Chih-Chieh, additional, Wang, Yu-Ting, additional, Mori, Koji, additional, Hidaka, Kohei, additional, Hamada, Moriyuki, additional, Huang, Lina, additional, Watanabe, Koichi, additional, and Huang, Chien-Hsun, additional

Published
2024
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17. Deep Learning Approaches for Power Prediction in Wind–Solar Tower Systems.

Author

Rushdi, Mostafa A., Yoshida, Shigeo, Watanabe, Koichi, Ohya, Yuji, and Ismaiel, Amr

Subjects
ARTIFICIAL neural networks, MACHINE learning, CONVOLUTIONAL neural networks, REGRESSION analysis, FEATURE selection
Abstract

Wind–solar towers are a relatively new method of capturing renewable energy from solar and wind power. Solar radiation is collected and heated air is forced to move through the tower. The thermal updraft propels a wind turbine to generate electricity. Furthermore, the top of the tower's vortex generators produces a pressure differential, which intensifies the updraft. Data were gathered from a wind–solar tower system prototype developed and established at Kyushu University in Japan. Aiming to predict the power output of the system, while knowing a set of features, the data were evaluated and utilized to build a regression model. Sensitivity analysis guided the feature selection process. Several machine learning models were utilized in this study, and the most appropriate model was chosen based on prediction quality and temporal criteria. We started with a simple linear regression model but it was inaccurate. By adding some non-linearity through using polynomial regression of the second order, the accuracy increased considerably sufficiently. Moreover, deep neural networks were trained and tested to enhance the power prediction performance. These networks performed very well, having the most powerful prediction capabilities, with a coefficient of determination R 2 = 0.99734 after hyper-parameter tuning. A 1-D convolutional neural network achieved less accuracy with R 2 = 0.99647 , but is still considered a competitive model. A reduced model was introduced trading off some accuracy ( R 2 = 0.9916 ) for significantly reduced data collection requirements and effort. [ABSTRACT FROM AUTHOR]

Published
2024
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21. A new injection method for identifying the subpopliteal recess of the knee

Author

Tabira, Yoko, primary, Yamashita, Akihiro, additional, Kikuchi, Keishiro, additional, Han, Aya, additional, Shimizu, Keigo, additional, Harano, Tatsuya, additional, Haikata, Yuto, additional, Inoue, Eiko, additional, Nooma, Kunimitsu, additional, Iwanaga, Joe, additional, Saga, Tsuyoshi, additional, and Watanabe, Koichi, additional

Published
2024
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24. Exercise intensity at RPE13 in female Kendo practitioners: A pilot study exploring the detection of mental fortitude.

Author

Kitahara, Akari, Tamai, Shinsuke, Sagayama, Hiroyuki, Nomura, Shoko, Kagawa, Rina, Suzuki, Hideo, Tsurushima, Hideo, and Watanabe, Koichi

Subjects
KENDO, EXERCISE intensity, RATE of perceived exertion, ANAEROBIC threshold, HEART beat
Abstract

Abstract:Introduction: Kendo, a Japanese martial art, requires rigorous physical and mental training. Kendo practitioners who engage in daily mental training may experience a disparity between their subjective perception of exertion and the actual physiological load on their bodies. Methods: Fifteen healthy adult female kendo practitioners were recruited as participants. Participants were asked to report levels of exertion using the Ratings of Perceived Exertion (RPE) during a progressive, load-incremented stress test. The participants' heart rate at the time of reporting RPE13, which is considered a "somewhat hard" level of exertion, as well as heart rate at the anaerobic threshold (AT) to measure actual load, were compared to the maximum heart rate measurement obtained during the test. Results: The participants' heart rates at RPE13 were found to be higher than those at AT, based on their values as percentages of maximum heart rates. Conclusion: This study discovered that kendo practitioners engaged in regular mental training exhibited a higher heart rate at "somewhat hard" exertion (RPE13) compared to the anaerobic threshold (AT), indicating a relative increase in RPE. Additional research is necessary to determine if this effect is attributable to mental training. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Magnetic-Field Dependences of Thermodynamic Quantities in the Vortex State of Type-II Superconductors

Author

Watanabe, Koichi, Kita, Takafumi, and Arai, Masao

Subjects
Condensed Matter - Superconductivity
Abstract

We develop an alternative method to solve the Eilenberger equations numerically for the vortex-lattice states of type-II superconductors. Using it, we clarify the magnetic-field and impurity-concentration dependences of the magnetization, the entropy, the Pauli paramagnetism, and the mixing of higher Landau levels in the pair potential for two-dimensional $s$- and $d_{x^2-y^2}$-wave superconductors with the cylindrical Fermi surface., Comment: 8 pages, 6 figures

Published
2005
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44. Nonmagnetic impurity effects in MgB$_{2}$

Author

Watanabe, Koichi and Kita, Takafumi

Subjects
Condensed Matter - Superconductivity, Condensed Matter - Materials Science
Abstract

We study nonmagnetic impurity effects in MgB$_{2}$ using the quasiclassical equations of superconductivity for a weak-coupling two-band model. Parameters in the model are fixed so as to reproduce experiments on MgB$_{2}$ as closely as possible. The quasiparticle density of states and the specific heat are calculated for various values of the interband impurity scattering. The density of states changes gradually from a two-gap structure into the conventional single-gap structure as the interband scattering increases. It is found that the excitation threshold is not a monotonic function of the interband scattering. Calculated results for the specific heat are in good agreements with experiments on samples after irradiation.

Published
2004
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45. International network of cancer genome projects

Author

Hudson (Chairperson), Thomas J, Anderson, Warwick, Aretz, Axel, Barker, Anna D, Bell, Cindy, Bernabé, Rosa R, Bhan, MK, Calvo, Fabien, Eerola, Iiro, Gerhard, Daniela S, Guttmacher, Alan, Guyer, Mark, Hemsley, Fiona M, Jennings, Jennifer L, Kerr, David, Klatt, Peter, Kolar, Patrik, Kusuda, Jun, Lane, David P, Laplace, Frank, Lu, Youyong, Nettekoven, Gerd, Ozenberger, Brad, Peterson, Jane, Rao, TS, Remacle, Jacques, Schafer, Alan J, Shibata, Tatsuhiro, Stratton, Michael R, Vockley, Joseph G, Watanabe, Koichi, Yang, Huanming, Yuen, Matthew MF, Knoppers (Leader), Bartha M, Bobrow, Martin, Cambon-Thomsen, Anne, Dressler, Lynn G, Dyke, Stephanie OM, Joly, Yann, Kato, Kazuto, Kennedy, Karen L, Nicolás, Pilar, Parker, Michael J, Rial-Sebbag, Emmanuelle, Romeo-Casabona, Carlos M, Shaw, Kenna M, Wallace, Susan, Wiesner, Georgia L, Zeps, Nikolajs, Lichter (Leader), Peter, Biankin, Andrew V, Chabannon, Christian, Chin, Lynda, Clément, Bruno, de Alava, Enrique, Degos, Françoise, Ferguson, Martin L, Geary, Peter, Hayes, D Neil, Hudson, Thomas J, Johns, Amber L, Kasprzyk, Arek, Nakagawa, Hidewaki, Penny, Robert, Piris, Miguel A, Sarin, Rajiv, Scarpa, Aldo, van de Vijver, Marc, Futreal (Leader), P Andrew, Aburatani, Hiroyuki, Bayés, Mónica, Bowtell, David DL, Campbell, Peter J, Estivill, Xavier, Grimmond, Sean M, Gut, Ivo, Hirst, Martin, López-Otín, Carlos, Majumder, Partha, Marra, Marco, McPherson, John D, Ning, Zemin, Puente, Xose S, Ruan, Yijun, Stunnenberg, Hendrik G, Swerdlow, Harold, Velculescu, Victor E, Wilson, Richard K, Xue, Hong H, Yang, Liu, Spellman (Leader), Paul T, Bader, Gary D, Boutros, Paul C, and Flicek, Paul

Subjects
Cancer, Genetics, Human Genome, DNA Methylation, DNA Mutational Analysis, Databases, Genetic, Genes, Neoplasm, Genetics, Medical, Genome, Human, Genomics, Humans, Intellectual Property, International Cooperation, Mutation, Neoplasms, International Cancer Genome Consortium, General Science & Technology
Abstract

The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic, epigenomic and transcriptomic levels will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies.

Published
2010

46. International network of cancer genome projects.

Author

International Cancer Genome Consortium, Hudson, Thomas J, Anderson, Warwick, Artez, Axel, Barker, Anna D, Bell, Cindy, Bernabé, Rosa R, Bhan, MK, Calvo, Fabien, Eerola, Iiro, Gerhard, Daniela S, Guttmacher, Alan, Guyer, Mark, Hemsley, Fiona M, Jennings, Jennifer L, Kerr, David, Klatt, Peter, Kolar, Patrik, Kusada, Jun, Lane, David P, Laplace, Frank, Youyong, Lu, Nettekoven, Gerd, Ozenberger, Brad, Peterson, Jane, Rao, TS, Remacle, Jacques, Schafer, Alan J, Shibata, Tatsuhiro, Stratton, Michael R, Vockley, Joseph G, Watanabe, Koichi, Yang, Huanming, Yuen, Matthew MF, Knoppers, Bartha M, Bobrow, Martin, Cambon-Thomsen, Anne, Dressler, Lynn G, Dyke, Stephanie OM, Joly, Yann, Kato, Kazuto, Kennedy, Karen L, Nicolás, Pilar, Parker, Michael J, Rial-Sebbag, Emmanuelle, Romeo-Casabona, Carlos M, Shaw, Kenna M, Wallace, Susan, Wiesner, Georgia L, Zeps, Nikolajs, Lichter, Peter, Biankin, Andrew V, Chabannon, Christian, Chin, Lynda, Clément, Bruno, de Alava, Enrique, Degos, Françoise, Ferguson, Martin L, Geary, Peter, Hayes, D Neil, Johns, Amber L, Kasprzyk, Arek, Nakagawa, Hidewaki, Penny, Robert, Piris, Miguel A, Sarin, Rajiv, Scarpa, Aldo, van de Vijver, Marc, Futreal, P Andrew, Aburatani, Hiroyuki, Bayés, Mónica, Botwell, David DL, Campbell, Peter J, Estivill, Xavier, Grimmond, Sean M, Gut, Ivo, Hirst, Martin, López-Otín, Carlos, Majumder, Partha, Marra, Marco, McPherson, John D, Ning, Zemin, Puente, Xose S, Ruan, Yijun, Stunnenberg, Hendrik G, Swerdlow, Harold, Velculescu, Victor E, Wilson, Richard K, Xue, Hong H, Yang, Liu, Spellman, Paul T, Bader, Gary D, and Boutros, Paul C

Subjects
International Cancer Genome Consortium, Humans, Neoplasms, DNA Mutational Analysis, Genetics, Medical, Genomics, DNA Methylation, Mutation, Genome, Human, International Cooperation, Intellectual Property, Databases, Genetic, Genes, Neoplasm, Genetics, Medical, Genome, Human, Databases, Genetic, Genes, Neoplasm, General Science & Technology
Abstract

The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic, epigenomic and transcriptomic levels will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies.

Published
2010

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