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52. The Type Ic Hypernova SN 2002ap

Author

Mazzali, P. A., Deng, J., Maeda, K., Nomoto, K., Umeda, H., Hatano, K., Iwamoto, K., Yoshii, Y., Kobayashi, Y., Minezaki, T., Doi, M., Enya, K., Tomita, H., Smartt, S. J., Kinugasa, K., Kawakita, H., Ayani, K., Kawabata, T., Yamaoka, H., Qiu, Y. L., Motohara, K., Gerardy, C. L., Fesen, R., Kawabata, K. S., Iye, M., Kashikawa, N., Kosugi, G., Ohyama, Y., Takada-Hidai, M., Zhao, G., Chornock, R., Filippenko, A. V., Benetti, S., and Turatto, M.

Subjects
Astrophysics
Abstract

Photometric and spectroscopic data of the energetic Type Ic supernova (SN) 2002ap are presented, and the properties of the SN are investigated through models of its spectral evolution and its light curve. The SN is spectroscopically similar to the "hypernova" SN 1997ef. However, its kinetic energy [$\sim (4-10) \times 10^{51}$ erg] and the mass ejected (2.5-5 $M_{\odot}$) are smaller, resulting in a faster-evolving light curve. The SN synthesized $\sim 0.07 M_{\odot}$ of $^{56}$Ni, and its peak luminosity was similar to that of normal SNe. Brightness alone should not be used to define a hypernova, whose defining character, namely very broad spectral features, is the result of a high kinetic energy. The likely main-sequence mass of the progenitor star was 20-25 $M_{\odot}$, which is also lower than that of both hypernovae SNe 1997ef and 1998bw. SN 2002ap appears to lie at the low-energy and low-mass end of the hypernova sequence as it is known so far. Observations of the nebular spectrum, which is expected to dominate by summer 2002, are necessary to confirm these values., Comment: 10 pages, 4 figures, accepted for publication in ApJL, 30 April 2002 (minor changes to match the accepted version, with figures being colored)

Published
2002
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55. Metastable lifetimes in a kinetic Ising model: Dependence on field and system size

Author

Rikvold, Per Arne, Tomita, H., Miyashita, S., and Sides, Scott W.

Subjects
Condensed Matter, High Energy Physics - Theory
Abstract

The lifetimes of metastable states in kinetic Ising ferromagnets are studied by droplet theory and Monte Carlo simulation, in order to determine their dependences on applied field and system size. For a wide range of fields, the dominant field dependence is universal for local dynamics and has the form of an exponential in the inverse field, modified by universal and nonuniversal power-law prefactors. Quantitative droplet-theory predictions are numerically verified, and small deviations are shown to depend nonuniversally on the details of the dynamics. We identify four distinct field intervals in which the field dependence and statistical properties of the lifetimes are different. The field marking the crossover between the weak-field regime, in which the decay is dominated by a single droplet, and the intermediate-field regime, in which it is dominated by a finite droplet density, vanishes logarithmically with system size. As a consequence the slow decay characteristic of the former regime may be observable in systems that are macroscopic as far as their equilibrium properties are concerned., Comment: 18 pages single spaced. RevTex Version 3. FSU-SCRI-94-11

Published
1994
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56. Developing an Observing Air–Sea Interactions Strategy (OASIS) for the global ocean

Author

Cronin, M F, Swart, S, Marandino, C A, Anderson, C, Browne, P, Chen, S, Joubert, W R, Schuster, U, Venkatesan, R, Addey, C I, Alves, O, Ardhuin, F, Battle, S, Bourassa, M A, Chen, Z, Chory, M, Clayson, C, De souza, R B, Du plessis, M, Edmondson, M, Edson, J B, Gille, S T, Hermes, J, Hormann, V, Josey, S A, Kurz, M, Lee, T, Maicu, F, Moustahfid, E H, Nicholson, S-a, Nyadjro, E S, Palter, J, Patterson, R G, Penny, S G, Pezzi, L P, Pinardi, N, Reeves eyre, J E J, Rome, N, Subramanian, A C, Stienbarger, C, Steinhoff, T, Sutton, A J, Tomita, H, Wills, S M, Wilson, C, Yu, L, Cronin, M F, Swart, S, Marandino, C A, Anderson, C, Browne, P, Chen, S, Joubert, W R, Schuster, U, Venkatesan, R, Addey, C I, Alves, O, Ardhuin, F, Battle, S, Bourassa, M A, Chen, Z, Chory, M, Clayson, C, De souza, R B, Du plessis, M, Edmondson, M, Edson, J B, Gille, S T, Hermes, J, Hormann, V, Josey, S A, Kurz, M, Lee, T, Maicu, F, Moustahfid, E H, Nicholson, S-a, Nyadjro, E S, Palter, J, Patterson, R G, Penny, S G, Pezzi, L P, Pinardi, N, Reeves eyre, J E J, Rome, N, Subramanian, A C, Stienbarger, C, Steinhoff, T, Sutton, A J, Tomita, H, Wills, S M, Wilson, C, and Yu, L

Abstract

The Observing Air–Sea Interactions Strategy (OASIS) is a new United Nations Decade of Ocean Science for Sustainable Development programme working to develop a practical, integrated approach for observing air–sea interactions globally for improved Earth system (including ecosystem) forecasts, CO2 uptake assessments called for by the Paris Agreement, and invaluable surface ocean information for decision makers. Our “Theory of Change” relies upon leveraged multi-disciplinary activities, partnerships, and capacity strengthening. Recommendations from >40 OceanObs’19 community papers and a series of workshops have been consolidated into three interlinked Grand Ideas for creating #1: a globally distributed network of mobile air–sea observing platforms built around an expanded array of long-term time-series stations; #2: a satellite network, with high spatial and temporal resolution, optimized for measuring air–sea fluxes; and #3: improved representation of air–sea coupling in a hierarchy of Earth system models. OASIS activities are organized across five Theme Teams: (1) Observing Network Design & Model Improvement; (2) Partnership & Capacity Strengthening; (3) UN Decade OASIS Actions; (4) Best Practices & Interoperability Experiments; and (5) Findable–Accessible–Interoperable–Reusable (FAIR) models, data, and OASIS products. Stakeholders, including researchers, are actively recruited to participate in Theme Teams to help promote a predicted, safe, clean, healthy, resilient, and productive ocean.

Published
2023
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57. Evaluation of CZT Drift Strip Detectors for use in 3D Molecular Breast Imaging

Author

Owe, S. R. H., Kuvvetli, I., Cherlin, A., Harris, B., Tomita, H., Baistow, I., Tcherniak, D., Budtz-Jorgensen, C., Owe, S. R. H., Kuvvetli, I., Cherlin, A., Harris, B., Tomita, H., Baistow, I., Tcherniak, D., and Budtz-Jorgensen, C.

Abstract

X-ray mammography is a widely used technique for breast cancer screening. However, the technique is imprecise when it comes to radiographically dense breast tissue, and therefore a supplemental screening technique, such as Molecular Breast Imaging (MBI), could increase the cancer detection rate. Emerging technologies within MBI require excellent detector performance, preferably with a sub-millimetre intrinsic spatial resolution. A collaboration between Kromek and DTU Space aims to advance the DTU Space developed 3D CdZnTe (CZT) drift strip technology, for application in new emerging MBI systems. This collaboration has resulted in 10 compact 3D MBI test modules with the goal of producing high-performance and high yield detectors. In this article, we present overall excellent detector performance, sub-millimetre position resolution at both 122 keV and 661.6 keV, and good energy resolution for the applied electrode deposition and contact optimisation. Although the current experimental setup and results suffers from high electronic noise (using discrete NIM standard charge sensitive pre-amplifiers), we conclude that the measured spatial and spectral performance fulfill the expected requirements for the modules, with room for improvement, especially within limiting electronic noise. The detector test modules indicate a promising future for the 3D CZT drift strip technology within future emerging MBI systems.

Published
2023

61. Multi-bioinformatics revealed potential biomarkers and repurposed drugs for gastric adenocarcinoma-related gastric intestinal metaplasia

Author

Gøran Troseth Andersen, Aleksandr Ianevski, Mathilde Resell, Naris Pojskic, Hanne-Line Rabben, Synne Geithus, Yosuke Kodama, Tomita Hiroyuki, Denis Kainov, Jon Erik Grønbech, Yoku Hayakawa, Timothy C. Wang, Chun-Mei Zhao, and Duan Chen

Subjects
Biology (General), QH301-705.5
Abstract

Abstract Biomarkers associated with the progression from gastric intestinal metaplasia (GIM) to gastric adenocarcinoma (GA), i.e., GA-related GIM, could provide valuable insights into identifying patients with increased risk for GA. The aim of this study was to utilize multi-bioinformatics to reveal potential biomarkers for the GA-related GIM and predict potential drug repurposing for GA prevention in patients. The multi-bioinformatics included gene expression matrix (GEM) by microarray gene expression (MGE), ScType (a fully automated and ultra-fast cell-type identification based solely on a given scRNA-seq data), Ingenuity Pathway Analysis, PageRank centrality, GO and MSigDB enrichments, Cytoscape, Human Protein Atlas and molecular docking analysis in combination with immunohistochemistry. To identify GA-related GIM, paired surgical biopsies were collected from 16 GIM-GA patients who underwent gastrectomy, yielding 64 samples (4 biopsies per stomach x 16 patients) for MGE. Co-analysis was performed by including scRNAseq and immunohistochemistry datasets of endoscopic biopsies of 37 patients. The results of the present study showed potential biomarkers for GA-related GIM, including GEM of individual patients, individual genes (such as RBP2 and CD44), signaling pathways, network of molecules, and network of signaling pathways with key topological nodes. Accordingly, potential treatment targets with repurposed drugs were identified including epidermal growth factor receptor, proto-oncogene tyrosine-protein kinase Src, paxillin, transcription factor Jun, breast cancer type 1 susceptibility protein, cellular tumor antigen p53, mouse double minute 2, and CD44.

Published
2024
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65. Characteristic horizontal length and form of large-scale self-aggregation of clouds in radiative-convective equilibrium

Author

Yanase, T., Nishizawa, S., Miura, H., and Tomita, H.

Abstract

The organization of deep moist convection is considered to play an important role in the water and energy cycles in the tropical atmosphere. The nature of convective organization has been studied by idealized numerical simulations of clouds in radiative–convective equilibrium. However, because the behavior of simulated clouds is significantly affected by the computational domain, natural characteristics inherent in the moist convective system are not fully understood. To investigate the natural horizontal scale and horizontal form of the large-scale organization of deep moist convection, a series of numerical simulations were performed to systematically extend the horizontal domain size from about 1000 km to about 25000 km. When the domain size was larger than approximately 5000 km, domain mean variables in statistical equilibrium converged to identical values. In the wide domain simulations, the humid–cloudy area exhibited a mesh-like horizontal pattern analogous to shallow convective organizations. The horizontal length of the organization was approximately 3000–4000 km based on spectral analyses. Further, the factors responsible for determining the length scale were diagnosed based on a previous theory focused on boundary layer dynamics. The diagnosis suggests that the boundary layer buoyancy field is closely related to the length scale. Further study using a hierarchy of models is needed to bridge the self-aggregation of clouds in the idealized atmosphere and the convective organization in the real-world atmosphere., The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Published
2023
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67. Low frequency 1/f noise in deep submicrometer-sized magnetic tunnel junctions.

Author

Anh Nguyen, T. N., Pham, Q. N., Fukumoto, M., Goto, M., Okuno, R., Tomita, H., Kubota, H., Fukushima, A., Yakushiji, K., Watakabe, T., Hasebe, S., Lam, D. D., Do, K. T., Nguyen, T. H., Vu, H. K., Vu, D. L., and Suzuki, Y.

Subjects
PINK noise, MAGNETIC tunnelling, NOISE measurement, MAGNETIC sensors, THERMAL noise
Abstract

Magnetic tunnel junctions (MTJs) have been identified as promising candidates for the development of high-performance, ultra-low field magnetometers due to their high sensitivity, low cost, low power consumption, and small size. However, 1/f noise is often quite large at low frequencies and inevitably becomes one of the most difficult issues in developing a magnetic field sensor with ultrahigh sensitivity. Low-frequency 1/f noise can have both electric and magnetic origins, and it is a result of complex non-linear interactions between many degrees of freedom inside a sensor. Therefore, a reduction of the 1/f noise can be expected for the magnetic sensor with very small dimensions. Here, the dependence of the 1/f noise on voltage and strong hard-axis bias field in deep submicrometer-sized MgO-based MTJs is investigated with various junction sizes. The noise spectra were measured by using a home-built low-frequency noise measurement setup with maximum frequency up to 30 kHz. We find that the noise spectral power density is 1/f-like at low frequencies. The experimental results suggest a relative reduction of 1/f noise with respect to the intrinsic thermal noise in small-sized MTJs. The results may open a new approach for reducing the 1/f noise level in MTJ nanosensors. [ABSTRACT FROM AUTHOR]

Published
2021
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70. Usefulness of echocardiographic parameters in predicting the incidence of ischemic stroke in Japanese patients with non-valvular atrial fibrillation

Author

Tezuka, Y, primary, Akao, M, additional, Suzuki, S, additional, Yamashita, T, additional, Kodani, E, additional, Tsuda, T, additional, Hayashi, K, additional, Furusho, H, additional, Sawano, M, additional, Fukuda, K, additional, Nakai, M, additional, Sasahara, Y, additional, Miyamoto, Y, additional, Tomita, H, additional, and Okumura, K, additional

Published
2022
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78. Development of the Real‐Time 30‐s‐Update Big Data Assimilation System for Convective Rainfall Prediction With a Phased Array Weather Radar: Description and Preliminary Evaluation

Author

Honda, T., primary, Amemiya, A., additional, Otsuka, S., additional, Lien, G.‐Y., additional, Taylor, J., additional, Maejima, Y., additional, Nishizawa, S., additional, Yamaura, T., additional, Sueki, K., additional, Tomita, H., additional, Satoh, S., additional, Ishikawa, Y., additional, and Miyoshi, T., additional

Published
2022
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82. REVOLUTIONIZING CLIMATE MODELING WITH PROJECT ATHENA : A Multi-Institutional, International Collaboration

Author

Kinter, J. L., Cash, B., Achuthavarier, D., Adams, J., Altshuler, E., Dirmeyer, P., Doty, B., Huang, B., Jin, E. K., Marx, L., Manganello, J., Stan, C., Wakefield, T., Palmer, T., Hamrud, M., Jung, T., Miller, M., Towers, P., Wedi, N., Satoh, M., Tomita, H., Kodama, C., Nasuno, T., Oouchi, K., Yamada, Y., Taniguchi, H., Andrews, P., Baer, T., Ezell, M., Halloy, C., John, D., Loftis, B., Mohr, R., and Wong, K.

Published
2013

83. Developing an Observing Air–Sea Interactions Strategy (OASIS) for the global ocean

Author

Cronin, MF, Browman, Howard1, Cronin, MF, Swart, S, Marandino, CA, Anderson, C, Browne, P, Chen, S, Joubert, WR, Schuster, U, Venkatesan, R, Addey, CI, Alves, O, Ardhuin, F, Battle, S, Bourassa, MA, Chen, Z, Chory, M, Clayson, C, de Souza, RB, du Plessis, M, Edmondson, M, Edson, JB, Gille, ST, Hermes, J, Hormann, V, Josey, SA, Kurz, M, Lee, T, Maicu, F, Moustahfid, EH, Nicholson, S-A, Nyadjro, ES, Palter, J, Patterson, RG, Penny, SG, Pezzi, LP, Pinardi, N, Reeves Eyre, JEJ, Rome, N, Subramanian, AC, Stienbarger, C, Steinhoff, T, Sutton, AJ, Tomita, H, Wills, SM, Wilson, C, Yu, L, Cronin, MF, Browman, Howard1, Cronin, MF, Swart, S, Marandino, CA, Anderson, C, Browne, P, Chen, S, Joubert, WR, Schuster, U, Venkatesan, R, Addey, CI, Alves, O, Ardhuin, F, Battle, S, Bourassa, MA, Chen, Z, Chory, M, Clayson, C, de Souza, RB, du Plessis, M, Edmondson, M, Edson, JB, Gille, ST, Hermes, J, Hormann, V, Josey, SA, Kurz, M, Lee, T, Maicu, F, Moustahfid, EH, Nicholson, S-A, Nyadjro, ES, Palter, J, Patterson, RG, Penny, SG, Pezzi, LP, Pinardi, N, Reeves Eyre, JEJ, Rome, N, Subramanian, AC, Stienbarger, C, Steinhoff, T, Sutton, AJ, Tomita, H, Wills, SM, Wilson, C, and Yu, L

Abstract

The Observing Air–Sea Interactions Strategy (OASIS) is a new United Nations Decade of Ocean Science for Sustainable Development programme working to develop a practical, integrated approach for observing air–sea interactions globally for improved Earth system (including ecosystem) forecasts, CO2 uptake assessments called for by the Paris Agreement, and invaluable surface ocean information for decision makers. Our “Theory of Change” relies upon leveraged multi-disciplinary activities, partnerships, and capacity strengthening. Recommendations from >40 OceanObs’19 community papers and a series of workshops have been consolidated into three interlinked Grand Ideas for creating #1: a globally distributed network of mobile air–sea observing platforms built around an expanded array of long-term time-series stations; #2: a satellite network, with high spatial and temporal resolution, optimized for measuring air–sea fluxes; and #3: improved representation of air–sea coupling in a hierarchy of Earth system models. OASIS activities are organized across five Theme Teams: (1) Observing Network Design & Model Improvement; (2) Partnership & Capacity Strengthening; (3) UN Decade OASIS Actions; (4) Best Practices & Interoperability Experiments; and (5) Findable–Accessible–Interoperable–Reusable (FAIR) models, data, and OASIS products. Stakeholders, including researchers, are actively recruited to participate in Theme Teams to help promote a predicted, safe, clean, healthy, resilient, and productive ocean.

Published
2022

84. Progress in development of the neutron profile monitor for the large helical device

Author

OGAWA, Kunihiro, ISOBE, Mitsutaka, Takada, E., UCHIDA, Y., OCHIAI, K., Tomita, H., Uritani, Akira, Kobuchi, T., TAKEIRI, Yasuhiko, OGAWA, Kunihiro, ISOBE, Mitsutaka, Takada, E., UCHIDA, Y., OCHIAI, K., Tomita, H., Uritani, Akira, Kobuchi, T., and TAKEIRI, Yasuhiko

Abstract

The neutron profile monitor stably operated at a high-count-rate for deuterium operations in the Large Helical Device has been developed to enhance the research on the fast-ion confinement. It is composed of a multichannel collimator, scintillation-detectors, and a field programmable gate array circuit. The entire neutron detector system was tested using an accelerator-based neutron generator. This system stably acquires the pulse data without any data loss at high-count-rate conditions up to 8 × 105 counts per second., source:K. Ogawa, M. Isobe, E. Takada, Y. Uchida, K. Ochiai, H. Tomita, A. Uritani, T. Kobuchi, and Y. Takeiri , "Progress in development of the neutron profile monitor for the large helical device", Review of Scientific Instruments 85, 11E110 (2014) https://doi.org/10.1063/1.4890399, source:https://doi.org/10.1063/1.4890399

Published
2022

85. Development of the Real-Time 30-s-Update Big Data Assimilation System for Convective Rainfall Prediction With a Phased Array Weather Radar : Description and Preliminary Evaluation

Author

Honda, T., Amemiya, A., Otsuka, S., Lien, G. -Y., Taylor, J., Maejima, Y., Nishizawa, S., Yamaura, T., Sueki, K., Tomita, H., Satoh, S., Ishikawa, Y., Miyoshi, T., Honda, T., Amemiya, A., Otsuka, S., Lien, G. -Y., Taylor, J., Maejima, Y., Nishizawa, S., Yamaura, T., Sueki, K., Tomita, H., Satoh, S., Ishikawa, Y., and Miyoshi, T.

Abstract

We present the first ever real-time numerical weather prediction system with 30-s update cycles at a 500-m grid spacing for the prediction of convective precipitation in the subsequent 30 min using a new-generation multi-parameter phased array weather radar. The system comprises a regional atmospheric model known as the SCALE and the local ensemble transform Kalman filter (LETKF). To accelerate the SCALE-LETKF system, data transfer between the two aforementioned components is performed using a memory copy instead of a file I/O. A complete real-time workflow including domain nesting and observational data transfer is constructed. A real-time test in July and August 2020 showed that the system is fast enough for a real-time application of 30-s forecast-analysis cycles and 30-min prediction. The development includes a new thinning method considering the spatially correlated observation errors in the dense radar data. This new thinning method is effective in two past case studies in the summer of 2019.

Published
2022

86. Advantage of 30-s-Updating Numerical Weather Prediction With a Phased-Array Weather Radar Over Operational Nowcast for a Convective Precipitation System

Author

Honda, T., Amemiya, A., Otsuka, S., Taylor, J., Maejima, Y., Nishizawa, S., Yamaura, T., Sueki, K., Tomita, H., Miyoshi, T., Honda, T., Amemiya, A., Otsuka, S., Taylor, J., Maejima, Y., Nishizawa, S., Yamaura, T., Sueki, K., Tomita, H., and Miyoshi, T.

Abstract

Convective precipitation systems in the summer often cause sudden heavy precipitation and largely affect various human activities, but the rapid evolution limits our predicting capability. Phased-array weather radars (PAWRs) with a high spatiotemporal resolution are useful for observing such precipitation system. A recently developed numerical weather prediction (NWP) system assimilates PAWR observations with a 500-m mesh NWP model. It initiates 30-min extended forecasts every 30 s, much more frequently than the operational NWP and nowcasting systems. This study investigates the benefits of the 30-s-updating NWP system in a single but representative convective precipitation event in which a convective cloud developed within 10 min, and its evolution was not well predicted by operational precipitation nowcasting. The rapidly updating NWP system successfully predicts the evolution of the convective cloud. Assimilating the PAWR observations every 30 s continuously modifies the moisture and dynamical fields and improves the forecast accuracy consistently.

Published
2022

87. Rejection of Electronic Recoils with the DMTPC Dark Matter Search

Author

Lopez, J.P., Ahlen, S., Battat, J., Caldwell, T., Chernicoff, M., Deaconu, C., Dujmic, D., Dushkin, A., Fedus, W., Fisher, P., Golub, F., Henderson, S., Inglis, A., Kaboth, A., Kohse, G., Kirsch, L., Lanza, R., Lee, A., Monroe, J., Ouyang, H., Sahin, T., Sciolla, G., Skvorodnev, N., Tomita, H., Wellenstein, H., Wolfe, I., Yamamoto, R., and Yegoryan, H.

Published
2012
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89. Flexible GaAs//Cu(In1-x,Gax)(Sy,Se1-y)2-based Three-Junction Solar Cells Using Modified Smart Stack Technology

Author

Makita, K., Tomita, H., Mizuno, H., Oshima, R., Shoji, Y., Müller, R., Lackner, D., Dimroth, F., and Sugaya, T.

Subjects
Evolving and Emerging Technologies: Tandems, Thin Film absorbers, III-V, New Materials and Concepts, Advanced Modelling, Tandems
Abstract

8th World Conference on Photovoltaic Energy Conversion; 270-272, Multijunction (MJ) solar cells achieve very high efficiencies by effectively utilizing the solar spectrum. Previously, we constructed a GaAs//CuIn1-yGaySe2 (CIGSe) MJ solar cell using a unique mechanical stacking technology with Pd nanoparticle and silicone adhesive at the bonding interface (modified smart stack technology). The modified smart stack was developed to increase the bonding strength of the GaAs//CIGSe interface. The efficiency of 28.06% with a InGaP/AlGaAs//CIGSe three-junction solar cell was the best value among GaAs//CIGSe tandem solar cells as two-terminal. In this report, we fabricated a flexible InGaP/AlGaAs//Cu(In1-x,Gax)(Sy,Se1-y)2 (CIGSSe) threejunction solar cell using a flexible CIGSSe bottom cell. Appling the modified smart stack, the total efficiency with 24.3% for aperture area (26.7% for active area) was realized under the global standard AM1.5G spectrum. This is the first demonstration as a flexible GaAs//CIGSe-based MJ solar cell. The superior performance can be achieved by improving the reflection loss at the bonding interface. We predict that the efficiency could be boosted to 35% by minimizing the thickness of transparent conducting oxide layer and the surface roughness of CIGSSe cell. The results demonstrate the potential of GaAs//CIGSe-based MJ solar cell as next-generation solar cells for application such as vehicle-integrated photovoltaics.

Published
2022
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97. Rivaroxaban Monotherapy in Patients With Atrial Fibrillation After Coronary Stenting

Author

Matoba, Tetsuya, primary, Yasuda, Satoshi, additional, Kaikita, Koichi, additional, Akao, Masaharu, additional, Ako, Junya, additional, Nakamura, Masato, additional, Miyauchi, Katsumi, additional, Hagiwara, Nobuhisa, additional, Kimura, Kazuo, additional, Hirayama, Atsushi, additional, Matsui, Kunihiko, additional, Ogawa, Hisao, additional, Matoba, Tetsuya, additional, Koretsune, Yukihiro, additional, Hiro, Takafumi, additional, Sumiyoshi, Tetsuya, additional, Kimura, Kazumi, additional, Hashimoto, Yoichiro, additional, Hirano, Teruyuki, additional, Daida, Hiroyuki, additional, Okada, Yasushi, additional, Yamazaki, Tsutomu, additional, Nakamura, A., additional, Tamiya, E., additional, Yamamoto, T., additional, Suetake, S., additional, Noguchi, T., additional, Nakamura, S., additional, Matsumura, A., additional, Kojima, J., additional, Suwa, S., additional, Yamaguchi, H., additional, Kaikita, K., additional, Yasu, T., additional, Nakajima, A., additional, Yamada, T., additional, Arai, H., additional, Hata, Y., additional, Sakanashi, T., additional, Tateishi, H., additional, Nakayama, T., additional, Nozaki, Y., additional, Akao, M., additional, Okumura, Y., additional, Tokue, M., additional, Kuroki, N., additional, Maruyama, Y., additional, Matoba, T., additional, Hagiwara, N., additional, Suzuki, H., additional, Nishida, Y., additional, Ajioka, M., additional, Yumoto, K., additional, Shimizu, S., additional, Aoyama, T., additional, Shimomura, H., additional, Takeda, T., additional, Oshiro, K., additional, Sugishita, N., additional, Shibata, Y., additional, Otonari, T., additional, Kihara, H., additional, Ogawa, H., additional, Ohno, A., additional, Hazama, M., additional, Shimizu, M., additional, Tsukahara, K., additional, Haruta, S., additional, Wakeyama, T., additional, Haruna, T., additional, Ito, M., additional, Fujii, K., additional, Atsuchi, N., additional, Sata, M., additional, Kimura, K., additional, Hasebe, N., additional, Kobayasi, Y., additional, Ohsato, K., additional, Hironaga, K., additional, Naganuma, Y., additional, Anzaki, K., additional, Oiwa, K., additional, Okazaki, S., additional, Nakagawa, Y., additional, Tokuhiro, K., additional, Tanaka, K., additional, Momose, T., additional, Fukushima, Y., additional, Kametani, R., additional, Kawamitsu, K., additional, Saito, Y., additional, Akashi, S., additional, Kumagai, K., additional, Eshima, K., additional, Tobaru, T., additional, Seo, T., additional, Okuhara, K., additional, Kozuma, K., additional, Ikari, Y., additional, Takahashi, T., additional, Michishita, I., additional, Fujikura, H., additional, Momomura, S., additional, Yamamoto, Y., additional, Otomo, K., additional, Matsubara, T., additional, Tashiro, H., additional, Inoue, T., additional, Ishihara, M., additional, Shiojima, I., additional, Tachibana, E., additional, Ako, J., additional, Sumii, K., additional, Yamamoto, N., additional, Ohmura, N., additional, Nakamura, T., additional, Morita, Y., additional, Takahashi, N., additional, Watanabe, K., additional, Fujinaga, H., additional, Maruyama, M., additional, Oka, T., additional, Shirayama, T., additional, Amano, T., additional, Fukui, K., additional, Ando, K., additional, Oshima, S., additional, Kagiyama, S., additional, Teragawa, H., additional, Yuge, M., additional, Ono, S., additional, Koga, T., additional, Fujiu, K., additional, Kuwabara, M., additional, Ohya, Y., additional, Yumoto, Y., additional, Kuji, N., additional, Ikemura, M., additional, Kario, K., additional, Chatani, K., additional, Sato, K., additional, Miyagi, H., additional, Murakami, M., additional, Saito, K., additional, Hoshiga, M., additional, Sato, S., additional, Kubo, N., additional, Sakamoto, Y., additional, Ashida, K., additional, Sakamoto, H., additional, Murasaki, S., additional, Uehara, H., additional, Akasaka, T., additional, Ooba, Y., additional, Nakahara, S., additional, Hanaoka, Y., additional, Nishimiya, T., additional, Tsunoda, R., additional, Onuma, Y., additional, Higuchi, S., additional, Tani, A., additional, Wada, A., additional, Kato, M., additional, Obata, H., additional, Higuchi, Y., additional, Endo, T., additional, Katou, R., additional, Matsunaga, T., additional, Matsuoka, T., additional, Noguchi, H., additional, Usui, M., additional, Hayashi, T., additional, Otsuji, Y., additional, Osaki, T., additional, Zaizen, H., additional, Yoshihara, H., additional, Kadota, K., additional, Hirose, T., additional, Miyazawa, T., additional, Mori, A., additional, Takano, M., additional, Shimizu, W., additional, Wake, M., additional, Oriso, S., additional, Yoshiyama, M., additional, Kakinoki, S., additional, Nishioka, T., additional, Ozaki, T., additional, Nomoto, K., additional, Seki, K., additional, Kawai, K., additional, Ozaki, Y., additional, Miura, S., additional, Kawasaki, M., additional, Funada, R., additional, Dote, K., additional, Nagano, T., additional, Okamoto, S., additional, Kubo, T., additional, Murozono, Y., additional, Owada, T., additional, Doke, T., additional, Matsumura, T., additional, Horiuchi, M., additional, Takaishi, A., additional, Yamamoto, M., additional, Nakashima, H., additional, Munemasa, M., additional, Sakata, Y., additional, Inoue, N., additional, Ota, T., additional, Hamano, Y., additional, Abe, N., additional, Tsubokura, T., additional, Goto, M., additional, Kubota, I., additional, Yano, M., additional, Umetani, K., additional, Date, T., additional, Morimoto, H., additional, Noda, T., additional, Goto, S., additional, Hibi, K., additional, Nakano, A., additional, Hiramitsu, S., additional, Kihara, Y., additional, Sugi, M., additional, Shiba, N., additional, Izumi, D., additional, Sato, T., additional, Tayama, S., additional, Matsui, T., additional, Suzuki, A., additional, Ajiki, K., additional, Oishi, M., additional, Kiryu, M., additional, Ko, T., additional, Ando, H., additional, Miyazaki, S., additional, Kinugawa, T., additional, Otake, H., additional, Kitaoka, H., additional, Hirata, Y., additional, Honda, S., additional, Manita, M., additional, Ishii, Y., additional, Oka, H., additional, Nanba, Y., additional, Nishino, M., additional, Sakamoto, T., additional, Saito, T., additional, Sakai, H., additional, Ichikawa, M., additional, Namiuchi, S., additional, Inoue, K., additional, Komiyama, N., additional, Akashi, Y., additional, Nakamura, Y., additional, Komaru, T., additional, Hosokawa, T., additional, Chikamori, T., additional, Tanaka, H., additional, Arasaki, O., additional, Aonuma, K., additional, Wakasa, Y., additional, Yoshizawa, T., additional, Sugano, T., additional, Yokota, N., additional, Kakutani, A., additional, Suzuki, T., additional, Abe, Y., additional, Kataoka, T., additional, Okayama, H., additional, Yokoi, H., additional, Chin, K., additional, Hasegawa, K., additional, Tomita, H., additional, Honzyo, H., additional, Kawai, H., additional, Yamamoto, K., additional, Morino, Y., additional, Tsujiyama, S., additional, Hamasaki, S., additional, Niijima, Y., additional, Mizuno, Y., additional, Maki, A., additional, Tanabe, K., additional, Murohara, T., additional, Naomi, S., additional, Arikawa, M., additional, Kato, T., additional, Matsumoto, N., additional, Minamino, T., additional, Sairenji, H., additional, Miyamoto, N., additional, Ito, H., additional, Matsuura, Y., additional, Hata, S., additional, Nakatsu, Y., additional, Onodera, T., additional, Yoshimura, M., additional, Amano, H., additional, Tokutake, E., additional, Kasao, M., additional, Moriguchi, M., additional, Tsuji, M., additional, Yamamoto, H., additional, Yanbe, Y., additional, Iwasawa, T., additional, Suzuki, M., additional, and Mori, H., additional

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2021
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