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116,782 results on '"Maki, A"'

54. Initial hemodynamic status and Acute Mortality in Cancer patients with Acute Pulmonary Embolism: from the COMMAND VTE Registry

Author

Xiong, Wei, Yamashita, Yugo, Morimoto, Takeshi, Takase, Toru, Hiramori, Seiichi, Kim, Kitae, Oi, Maki, Akao, Masaharu, Kobayashi, Yohei, Chen, Po-Min, Murata, Koichiro, Tsuyuki, Yoshiaki, Nishimoto, Yuji, Sakamoto, Jiro, Togi, Kiyonori, Mabuchi, Hiroshi, Takabayashi, Kensuke, Kato, Takao, Ono, Koh, and Kimura, Takeshi

Published
2024
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59. Survival impact of response within the first year in a multicenter prospective observational study of chronic GVHD in a Japanese cohort

Author

Ohwada, Chikako, Sakaida, Emiko, Takeda, Yusuke, Doki, Noriko, Igarashi, Aiko, Onizuka, Makoto, Toyosaki, Masako, Tanaka, Masatsugu, Tachibana, Takayoshi, Kataoka, Keisuke, Kato, Jun, Fujisawa, Shin, Kato, Seiko, Nakasone, Hideki, Naganuma, Ken, Saitoh, Takayuki, Shono, Katsuhiro, Hagihara, Maki, Saito, Takeshi, Usuki, Kensuke, Mori, Takehiko, Nakaseko, Chiaki, Okamoto, Shinichiro, and Kanda, Yoshinobu

Published
2024
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64. Nemotron-4 15B Technical Report

Author

Parmar, Jupinder, Prabhumoye, Shrimai, Jennings, Joseph, Patwary, Mostofa, Subramanian, Sandeep, Su, Dan, Zhu, Chen, Narayanan, Deepak, Jhunjhunwala, Aastha, Dattagupta, Ayush, Jawa, Vibhu, Liu, Jiwei, Mahabaleshwarkar, Ameya, Nitski, Osvald, Brundyn, Annika, Maki, James, Martinez, Miguel, You, Jiaxuan, Kamalu, John, LeGresley, Patrick, Fridman, Denys, Casper, Jared, Aithal, Ashwath, Kuchaiev, Oleksii, Shoeybi, Mohammad, Cohen, Jonathan, and Catanzaro, Bryan

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

We introduce Nemotron-4 15B, a 15-billion-parameter large multilingual language model trained on 8 trillion text tokens. Nemotron-4 15B demonstrates strong performance when assessed on English, multilingual, and coding tasks: it outperforms all existing similarly-sized open models on 4 out of 7 downstream evaluation areas and achieves competitive performance to the leading open models in the remaining ones. Specifically, Nemotron-4 15B exhibits the best multilingual capabilities of all similarly-sized models, even outperforming models over four times larger and those explicitly specialized for multilingual tasks.

Published
2024

65. A Practical and Online Trajectory Planner for Autonomous Ships' Berthing, Incorporating Speed Control

Author

Mwange, Agnes Ngina, Rachman, Dimas Maulana, Suyama, Rin, and Maki, Atsuo

Subjects
Electrical Engineering and Systems Science - Systems and Control, Mathematics - Optimization and Control
Abstract

Autonomous ships are essentially designed and equipped to perceive their internal and external environment and subsequently perform appropriate actions depending on the predetermined objective(s) without human intervention. Consequently, trajectory planning algorithms for autonomous berthing must consider factors such as system dynamics, ship actuators, environmental disturbances, and the safety of the ship, other ships, and port structures, among others. In this study, basing the ship dynamics on the low-speed MMG model, trajectory planning for an autonomous ship is modeled as an optimal control problem (OCP) that is transcribed into a nonlinear programming problem (NLP) using the direct multiple shooting technique. To enhance berthing safety, besides considering wind disturbances, speed control, actuators' limitations, and collision avoidance features are incorporated as constraints in the NLP, which is then solved using the Sequential Quadratic Programming (SQP) algorithm in MATLAB. Finally, the performance of the proposed planner is evaluated through (i) comparison with solutions obtained using CMA-ES for two different model ships, (ii) trajectory planning for different harbor entry and berth approach scenarios, and (iii) feasibility study using stochastically generated initial conditions and positions within the port boundaries. Simulation results indicate enhanced berthing safety as well as practical and computational feasibility making the planner suitable for real-time applications.

Published
2024

66. Loss induced collective mode in one-dimensional Bose gases

Author

Maki, Jeff, Rosso, Lorenzo, Mazza, Leonardo, and Biella, Alberto

Subjects
Condensed Matter - Quantum Gases, Quantum Physics
Abstract

We show that two-body losses induce a collective excitation in a harmonically trapped one-dimensional Bose gas, even in the absence of a quench in the trap or any other external perturbation. Focusing on the dissipatively fermionized regime, we perform an exact mode expansion of the rapidity distribution function and characterize the emergence of the collective motion. We find clear coherent oscillations in both the potential and kinetic energies as well as in the phase space quadrupole mode of the gas. We also discuss how this loss induced collective mode differs from the well known breathing mode studied in the absence of dissipation., Comment: 10 pages, 10 figures

Published
2024

67. Reduced-order modeling of unsteady fluid flow using neural network ensembles

Author

Halder, Rakesh, Ataei, Mohammadmehdi, Salehipour, Hesam, Fidkowski, Krzysztof, and Maki, Kevin

Subjects
Physics - Fluid Dynamics, Computer Science - Machine Learning
Abstract

The use of deep learning has become increasingly popular in reduced-order models (ROMs) to obtain low-dimensional representations of full-order models. Convolutional autoencoders (CAEs) are often used to this end as they are adept at handling data that are spatially distributed, including solutions to partial differential equations. When applied to unsteady physics problems, ROMs also require a model for time-series prediction of the low-dimensional latent variables. Long short-term memory (LSTM) networks, a type of recurrent neural network useful for modeling sequential data, are frequently employed in data-driven ROMs for autoregressive time-series prediction. When making predictions at unseen design points over long time horizons, error propagation is a frequently encountered issue, where errors made early on can compound over time and lead to large inaccuracies. In this work, we propose using bagging, a commonly used ensemble learning technique, to develop a fully data-driven ROM framework referred to as the CAE-eLSTM ROM that uses CAEs for spatial reconstruction of the full-order model and LSTM ensembles for time-series prediction. When applied to two unsteady fluid dynamics problems, our results show that the presented framework effectively reduces error propagation and leads to more accurate time-series prediction of latent variables at unseen points., Comment: Updated with revisions

Published
2024
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68. Inflammatory Dietary Potential Is Associated with Vitamin Depletion and Gut Microbial Dysbiosis in Early Pregnancy.

Author

Alvernaz, Suzanne, Wenzel, Elizabeth, Nagelli, Unnathi, Pezley, Lacey, LaBomascus, Bazil, Gilbert, Jack, Maki, Pauline, Tussing-Humphreys, Lisa, and Peñalver Bernabé, Beatriz

Subjects
diet, dietary inflammatory index, food frequency questionnaire, galactose, gut microbiota, inflammation, pregnancy, Infant, Newborn, Female, Pregnancy, Humans, Dysbiosis, Gastrointestinal Microbiome, RNA, Ribosomal, 16S, Premature Birth, Avitaminosis, Diet, Vitamins, Inflammation
Abstract

Pregnancy alters many physiological systems, including the maternal gut microbiota. Diet is a key regulator of this system and can alter the host immune system to promote inflammation. Multiple perinatal disorders have been associated with inflammation, maternal metabolic alterations, and gut microbial dysbiosis, including gestational diabetes mellitus, pre-eclampsia, preterm birth, and mood disorders. However, the effects of high-inflammatory diets on the gut microbiota during pregnancy have yet to be fully explored. We aimed to address this gap using a system-based approach to characterize associations among dietary inflammatory potential, a measure of diet quality, and the gut microbiome during pregnancy. Forty-seven pregnant persons were recruited prior to 16 weeks of gestation. Participants completed a food frequency questionnaire (FFQ) and provided fecal samples. Dietary inflammatory potential was assessed using the Dietary Inflammatory Index (DII) from the FFQ data. Fecal samples were analyzed using 16S rRNA amplicon sequencing. Differential taxon abundances with respect to the DII score were identified, and the microbial metabolic potential was predicted using PICRUSt2. Inflammatory diets were associated with decreased vitamin and mineral intake and a dysbiotic gut microbiota structure and predicted metabolism. Gut microbial compositional differences revealed a decrease in short-chain fatty acid producers such as Faecalibacterium, and an increase in predicted vitamin B12 synthesis, methylglyoxal detoxification, galactose metabolism, and multidrug efflux systems in pregnant individuals with increased DII scores. Dietary inflammatory potential was associated with a reduction in the consumption of vitamins and minerals and predicted gut microbiota metabolic dysregulation.

Published
2024

69. Approximate probability density function for nonlinear surging in irregular following seas

Author

Maki, Atsuo, Maruyama, Yuuki, Katsumura, Keiji, and Dostal, Leo

Subjects
Mathematics - Dynamical Systems, Physics - Atmospheric and Oceanic Physics
Abstract

The broaching that follows the surf-riding is a dangerous phenomenon that can lead to the capsizing of a vessel due to its violent yaw motion. Most of the previous studies on surf-riding phenomena in irregular waves have been conducted by replacing irregular waves with regular waves. In contrast, this study provides suggestions on how to directly calculate nonlinear surge motion in irregular seas. In this study, the statistical aspects of the surf-riding phenomenon are first presented. Then, under several approximations, we show how to calculate the probability density function theoretically. Although the results obtained are based on strong approximations, it is found that the nonlinear surge oscillations in irregular following seas can be explained from a qualitative point of view.

Published
2023

70. Parameter fine-tuning method for MMG model using real-scale ship data

Author

Suyama, Rin, Matsushita, Rintaro, Kakuta, Ryo, Wakita, Kouki, and Maki, Atsuo

Subjects
Electrical Engineering and Systems Science - Systems and Control, Computer Science - Robotics
Abstract

In this paper, a fine-tuning method of the parameters in the MMG model for the real-scale ship is proposed. In the proposed method, all of the arbitrarily indicated target parameters of the MMG model are tuned simultaneously in the framework of SI using time series data of real-sale ship maneuvering motion data to steadily improve the accuracy of the MMG model. Parameter tuning is formulated as a minimization problem of the deviation of the maneuvering motion simulated with given parameters and the real-scale ship trials, and the global solution is explored using CMA-ES. By constraining the exploration ranges to the neighborhood of the previously determined parameter values, the proposed method limits the output in a realistic range. The proposed method is applied to the tuning of 12 parameters for a container ship with five different widths of the exploration range. The results show that, in all cases, the accuracy of the maneuvering simulation is improved by applying the tuned parameters to the MMG model, and the validity of the proposed parameter fine-tuning method is confirmed., Comment: 13 pages, 11 figures, a preprint submitted to Ocean Engineering

Published
2023

71. Review of the analytical prediction method of surf-riding threshold in following sea, and its relation to IMO second-generation intact stability criteria

Author

Maki, Atsuo, Sakai, Masahiro, and Ueta, Tetsushi

Subjects
Mathematics - General Mathematics
Abstract

In high-speed maritime operations, the broaching phenomenon can pose a significant risk when navigating in following/quartering seas. The occurrence of this phenomenon can result in a violent yaw motion, regardless of the steering effort, which, in turn, cause the resulting centrifugal force to capsize a vessel. A necessary condition for the occurrence of broaching is the surf-riding phenomenon. Therefore, the International Maritime Organization (IMO) has set up criteria to include theoretical formulas for estimating the occurrence of surf-riding phenomena. The theoretical equation used in the IMO's second-generation intact stability criteria (SGISC) to estimate the surf-riding threshold is based on Melnikov's method. This paper presents nonlinear equations describing the forward and backward motions of a ship. However, such equations cannot be directly solved; therefore, we proposed the use of and explain various approximate solution methods, including Meknikov's method. Subsequently, the relationship between the theoretical prediction method of the surf-riding threshold rooted in Melnikov's method and the IMO's SGISC is determined.

Published
2023

72. Association of pancreatic atrophy patterns with intraductal extension of early pancreatic ductal adenocarcinoma: a multicenter retrospective study

Author

Miki, Mika, Masuda, Atsuhiro, Takenaka, Mamoru, Shiomi, Hideyuki, Iemoto, Takao, Tsumura, Hidetaka, Tsujimae, Masahiro, Toyama, Hirochika, Sofue, Keitaro, Ueshima, Eisuke, Omoto, Shunsuke, Yoshida, Akihiro, Fukunaga, Tomohiro, Tanaka, Hidekazu, Nakano, Ryota, Ota, Shogo, Kobayashi, Takashi, Sakai, Arata, Kanzawa, Maki, Itoh, Tomoo, and Kodama, Yuzo

Published
2024
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77. Investigation of Safety Education Methods Based on the Results of a Survey of Elder Drivers’ Learning Styles Toward an Automated Driving System

Author

Arame, Maki, Goda, Yoshiko, Handa, Junko, Masashi, Toda, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Yang, Xin-She, editor, Sherratt, R. Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2025
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78. Fatal SARS-CoV-2 Infection among Children, Japan, January-September 2022

Author

Mitsushima, Shingo, Yahata, Yuichiro, Tsuchihashi, Yuuki, Ikenoue, Chiaki, Fukusumi, Munehisa, Otake, Shogo, Shimada, Tomoe, Yamagishi, Takuya, Kamiya, Hajime, Kobayashi, Yusuke, Kurosu, Hitomi, Okuyama, Mai, Morino, Saeko, Shibamura, Miho, Takanashi, Sayaka, Kamigaki, Taro, Otani, Kanako, Nakashita, Manami, Ito, Hanae, Miyazaki, Ayako, Koshiko, Masaya, Harakuni, Masanao, Onuma, Megumi, Chiba, Hiroko, Masutani, Maki, Sudani, Natsu, Satsuki, Yuka, Takara, Taketoshi, Oka, Akira, Katsuta, Tomohiro, Shimizu, Naoki, Saitoh, Akihiko, Sakamoto, Tetsuya, Suzuki, Motoi, and Sunagawa, Tomimasa

Subjects
Communicable diseases in children -- Statistics -- Complications and side effects -- Patient outcomes, Pediatric research
Abstract

COVID-19 has spread worldwide since December 2019. Among the mutated variants, some were designated by the World Health Organization as variants of concern because of their transmissibility or virulence (1). [...]

Published
2024
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79. Actor-Network in Disaster Education: Mainstreaming the Role of Higher Education in Climate Resilience for Sustainable Development in Northern Thai School

Author

Wanwalee Inpin, Reni Juwitasari, Maya Dania, Yuki Miyake, Takayoshi Maki, and Yukiko Takeuchi

Abstract

Frequently, global disasters occur due to human-induced activities, involving international society's role in attempting disaster risk reduction. This study aimed to examine the current state of Thai disaster education at the school level, which Japan supports, and analyze higher education's role in enhancing school-level disaster education through Bruno Latour's actor-network theory (ANT). A mixed-method approach was employed in this study. Quantitative data were gathered through questionnaire surveys involving 150 students aged 13 to 15 from mountainous regions. The surveys focused on their knowledge, attitude, and disaster self-appraisal practices (KAP) in rapid-onset circumstances, using percentages and numerical values. In contrast, the qualitative data were collected through in-depth interviews with five key informants and analyzed using content analysis. The students exhibited a high level of knowledge, while their attitude was assessed at the medium level, and their practical implementation was statistically low. This reflects a significant emphasis on Thai disaster education in rapid-onset situations. Nevertheless, slow-onset disasters, particularly drought and clean water supply issues, have the most profound and adverse impacts. ANT highlights the inseparable relations between human and non-human actants, encompassing government, higher education, schools, technology, and knowledge engagement in climate resilience building. The study findings provide guidance for all stakeholders, including government, higher education institutions, and schools, to transition their training or education programs from a rapid-onset to a slow-onset approach. This involves promoting the collaboration between higher education and its external partners to develop water management education initiatives that cultivate lifelong learning skills and contribute to achieving Sustainable Development Goals 3 Good Health and Well-being.

Published
2023

88. Statins use and recurrent venous thromboembolism in the direct oral anticoagulant era: insight from the COMMAND VTE Registry-2

Author

Mabuchi, Hiroshi, Nishikawa, Ryusuke, Yamashita, Yugo, Morimoto, Takeshi, Chatani, Ryuki, Kaneda, Kazuhisa, Nishimoto, Yuji, Ikeda, Nobutaka, Kobayashi, Yohei, Ikeda, Satoshi, Kim, Kitae, Inoko, Moriaki, Takase, Toru, Tsuji, Shuhei, Oi, Maki, Takada, Takuma, Otsui, Kazunori, Sakamoto, Jiro, Ogihara, Yoshito, Inoue, Takeshi, Usami, Shunsuke, Chen, Po-Min, Togi, Kiyonori, Koitabashi, Norimichi, Hiramori, Seiichi, Doi, Kosuke, Tsuyuki, Yoshiaki, Murata, Koichiro, Takabayashi, Kensuke, Nakai, Hisato, Sueta, Daisuke, Shioyama, Wataru, Dohke, Tomohiro, Ono, Koh, Nakagawa, Yoshihisa, and Kimura, Takeshi

Published
2024
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92. Prognostic impact of concomitant pH-regulating drugs in patients with non-small cell lung cancer receiving epidermal growth factor receptor tyrosine kinase inhibitors: the Tokushukai REAl-world Data project 01-S1

Author

Uryu, Kiyoaki, Imamura, Yoshinori, Shimoyama, Rai, Mase, Takahiro, Fujimura, Yoshiaki, Hayashi, Maki, Ohtaki, Megu, Otani, Keiko, Hibino, Makoto, Horiuchi, Shigeto, Fukui, Tomoya, Fukai, Ryuta, Chihara, Yusuke, Iwase, Akihiko, Yamada, Noriko, Tamura, Yukihiro, Harada, Hiromasa, Shinozaki, Nobuaki, Shimada, Toyoshi, Tsuya, Asuka, Fukuoka, Masahiro, and Minami, Hironobu

Published
2024
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93. Cigarette smoking and progression of kidney dysfunction: a longitudinal cohort study

Author

Matsumoto, Ayako, Nagasawa, Yasuyuki, Yamamoto, Ryouhei, Shinzawa, Maki, Yamazaki, Hiromitsu, Shojima, Kensaku, Shinmura, Ken, Isaka, Yoshitaka, Iseki, Kunitoshi, Yamagata, Kunihiro, Narita, Ichiei, Konta, Tsuneo, Kondo, Masahide, Tsuruya, Kazuhiko, Kasahara, Masato, Shibagaki, Yugo, Fujimoto, Shouichi, Asahi, Koichi, Watanabe, Tsuyoshi, and Moriyama, Toshiki

Published
2024
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100. Blood pressure classification using the Japanese Society of Hypertension Guidelines for the Management of Hypertension and cardiovascular events among young to middle-aged working adults

Author

Kuwahara, Keisuke, Ohkubo, Takayoshi, Inoue, Yosuke, Honda, Toru, Yamamoto, Shuichiro, Nakagawa, Tohru, Okazaki, Hiroko, Yamamoto, Makoto, Miyamoto, Toshiaki, Gommori, Naoki, Kochi, Takeshi, Ogasawara, Takayuki, Yamamoto, Kenya, Konishi, Maki, Kabe, Isamu, Dohi, Seitaro, and Mizoue, Tetsuya

Published
2024
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