Article
Geology
Jing-Yi Wang, M. Santosh, Toshiaki Tsunogae, Sung Won Kim, Yun-Peng Dong
Summary: Subduction zones act as gateways for large-scale material and energy exchange. In the SW Japan region, ongoing convergent margin processes with island arc magmatism are important to understand. This study investigates bimodal magmatic suites in the Tsukuba area of Japan, revealing Hbl-gabbros and granitoids with distinct characteristics. The petrological and geochemical features of these rocks suggest a connection between Cretaceous arc magmatism in Tsukuba and the magmatic belt in SW Japan.
INTERNATIONAL GEOLOGY REVIEW
(2022)
Article
Energy & Fuels
Michele Libralato, Alessandra De Angelis, Giulia Tornello, Onorio Saro, Paola D'Agaro, Giovanni Cortella
Summary: The study demonstrates that multiyear building energy simulations allow for obtaining distribution of results instead of single numbers, small therm climate change has multiyear effects on thermal demands and internal conditions, and moisture transfer in building materials plays a relevant role in energy and comfort calculations.
Article
Biochemical Research Methods
Sebastien Lelong, Xinghua Zhou, Cyrus Afrasiabi, Zhongchao Qian, Marco Alvarado Cano, Ginger Tsueng, Jiwen Xin, Julia Mullen, Yao Yao, Ricardo Avila, Greg Taylor, Andrew Su, Chunlei Wu
Summary: The BioThings SDK is a toolkit for building high-performance data APIs in biomedical research, allowing integration and creation of APIs for simplified annotation retrieval and identifier mapping. It enhances accessibility and reusability of biomedical resources.
Article
Energy & Fuels
Ruiting Wang, Wei Feng, Huijie Xue, Daniel Gerber, Yutong Li, Bin Hao, Yibo Wang
Summary: A new concept of a loose-coupled bipolar DC building power system was developed and applied to design an office building in Shenzhen, China. The study established a power system model to analyze stability and control of the DC power system and verify DC power quality. Overall, the proposed loose-coupled bipolar DC system demonstrated good fault-tolerant performance with reliable power quality even during disruptive system events.
Article
Construction & Building Technology
Xiaodong Liu, Haode Sun, Shanshan Han, Shuyan Han, Shengnan Niu, Wen Qin, Piman Sun, Dexuan Song
Summary: This paper investigates the energy usage pattern of office buildings throughout the year using time-series energy consumption data. It employs innovative artificial intelligent algorithms for data mining and discovers the energy utilization issues through cluster analysis and association rule discovery. The findings reveal the wastage of energy after working hours and the significant impact of cooling energy on total energy consumption.
ENERGY AND BUILDINGS
(2022)
Article
Thermodynamics
A. O. Topa, J. D. Gil, J. D. Alvarez, J. L. Torres
Summary: Microgrids play a crucial role in transitioning to renewable energy integration, but their control is challenging due to the variability of renewable energy. This paper presents a hybrid model-based predictive control approach to manage energy flows in microgrids, which outperforms other controllers in terms of cost reduction.
Article
Geochemistry & Geophysics
Jing-Yi Wang, Toshiaki Tsunogae, M. Santosh
Summary: This study investigates the magmatic suites in the Abukuma Mountains in NE Japan, which provide insights into the geodynamic evolution of the region. The rocks in the Abukuma Mountains were formed around 110 to 115 million years ago, while the rocks in the Kitakami region were formed around 108 million years ago. The geochemical features of the rocks suggest different subduction and melting processes in these two regions.
Article
Public, Environmental & Occupational Health
Yue Gurt Ge, Christopher W. Zobel, Pamela Murray-Tuite, Roshanak Nateghi, Haizhong Wang
Summary: This article emphasizes the importance of building interdisciplinary teams for disaster response research, examining three teaming mechanisms and analyzing key data types that require interdisciplinary collaboration using hurricanes as an example. It also highlights the importance of using a data-driven approach to engage multiple disciplines.
Review
Engineering, Biomedical
Qing Cao, Yangqianhui Zhang, Runyi Deng, Kai Ren, Huayong Yang, Dong Han
Summary: This paper provides a comprehensive summary of the research progress made by renowned Japanese laboratories and researchers in biomanufacturing, particularly in the areas of biomedical materials, bio-three-dimensional printing, and biomedical applications in the last five years. It highlights the unique contributions of Japanese researchers and identifies the current challenges and prospects in the field.
BIO-DESIGN AND MANUFACTURING
(2023)
Article
Computer Science, Artificial Intelligence
Skylar Sutherland, Bernhard Egger, Joshua Tenenbaum
Summary: In this study, a method is proposed for constructing generative models of 3D objects from a single 3D mesh and improving them through unsupervised low-shot learning from 2D images. The method can be used to perform face recognition and learn the distribution of 3D faces using only a single 3D template and a small number of 2D images. The study also provides a preliminary model for the origins of face perception in human infants.
INTERNATIONAL JOURNAL OF COMPUTER VISION
(2023)
Article
Green & Sustainable Science & Technology
Liting Zhang, Yongwen Yang, Qifen Li, Weijun Gao, Fanyue Qian, Lifei Song
Summary: This paper proposes a multi-criteria evaluation method for microgrids to maximize their comprehensive value, and a case study in Japan shows the superiority of multi-objective optimization. Balancing economic benefits, peak shaving, and carbon reduction, high requirements for carbon reduction can promote renewable energy development, while peak shaving ability should be ensured by stable power generators.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Jian Wang, Qingshan Zhao, Guoping He, Yaojun Hao
Summary: Traditional safety constraints in power grids are insufficient to address the intermittent and fluctuating safety problems caused by renewable energy and flexible loads. This paper focuses on the safety impact brought by randomness in microgrids. It presents a systematic analysis of the voltage safety assessment and prediction for microgrids with intermittent energy sources, such as wind and photovoltaics. The study proposes an improved RBF-AR model and applies a weighted first-order local method for chaotic prediction. Experimental results provide theoretical support for microgrid safety estimation and contribute to the development of microgrid safety.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Zhihan Lv, Chen Cheng, Haibin Lv
Summary: The purpose of this study is to investigate the role of safe and optimal scheduling of thermal energy storage systems in intelligent buildings in promoting sustainable economic development under Digital Twins (DTs) technology. Phase Change Material (PCM) is introduced in the building structure, and the DTs technology is applied for real-time analysis. The PCM wall structure and thermal network DTs model are designed for intelligent buildings, and a thermal energy storage and dispatch model is constructed based on DTs. The model achieves lower economic costs, environmental costs, and energy costs, as well as a better energy-saving effect compared to existing models, serving as a reference for digital energy storage and comprehensive energy utilization in intelligent buildings.
Article
Biochemistry & Molecular Biology
Sarie Van Belle, Anthony Di Fiore
Summary: Dispersal plays a crucial role in animal societies by regulating the spatial concentration of closely related individuals. The dispersal pattern of black howler monkeys in Palenque National Park, Mexico, was found to be bisexual, with males dispersing more frequently and females dispersing farther. Both males and females successfully immigrate into established groups and form new groups with other dispersing individuals.
Article
Medicine, General & Internal
Shotaro Doki, Shinichiro Sasahara, Daisuke Hori, Yuichi Oi, Tsukasa Takahashi, Nagisa Shiraki, Yu Ikeda, Tomohiko Ikeda, Yo Arai, Kei Muroi, Ichiyo Matsuzaki
Summary: The study successfully developed a machine learning model to predict psychological distress among workers, using sociodemographic, lifestyle and sleep factors instead of subjective mood information, with high accuracy. Results showed that the AI model outperformed psychiatrists in predicting severe psychological distress, indicating the potential for AI to easily screen workers for depression regardless of their subjective views.
Article
Chemistry, Multidisciplinary
Bo Huang, Hirokazu Kobayashi, Tomokazu Yamamoto, Takaaki Toriyama, Syo Matsumura, Yoshihide Nishida, Katsutoshi Sato, Katsutoshi Nagaoka, Masaaki Haneda, Wei Xie, Yusuke Nanba, Michihisa Koyama, Fenglong Wang, Shogo Kawaguchi, Yoshiki Kubota, Hiroshi Kitagawa
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2019)
Article
Chemistry, Physical
Yasunori Kikuchi, Takayuki Ichikawa, Masakazu Sugiyama, Michihisa Koyama
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2019)
Article
Chemistry, Physical
Shixue Liu, Takayoshi Ishimoto, Michihisa Koyama
APPLIED SURFACE SCIENCE
(2019)
Article
Chemistry, Physical
Yusuke Nanba, Michihisa Koyama
JOURNAL OF PHYSICAL CHEMISTRY C
(2019)
Article
Chemistry, Multidisciplinary
Takuo Wakisaka, Kohei Kusada, Dongshuang Wu, Tomokazu Yamamoto, Takaaki Toriyama, Syo Matsumura, Hiroshi Akiba, Osamu Yamamuro, Kazutaka Ikeda, Toshiya Otomo, Natalia Palina, Yanna Chen, Loku S. R. Kumara, Chulho Song, Osami Sakata, Wei Xie, Michihisa Koyama, Yoshiki Kubota, Shogo Kawaguchi, Ryan L. Arevalo, Susan M. Aspera, Elvis F. Arguelles, Hiroshi Nakanishi, Hiroshi Kitagawa
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2020)
Article
Green & Sustainable Science & Technology
Narihisa Sako, Michihisa Koyama, Tatsuya Okubo, Yasunori Kikuchi
Summary: The implementation of energy systems and technologies is incentivized by various aspects such as social and economic acceptance. Battery-assisted hydrogen production systems have been analyzed in terms of environmental and techno-economic aspects, showing competitive performance in unit cost and greenhouse gas emissions but lacking environmental competitiveness in abiotic resource depletion. Technology and system improvements are crucial for the system.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Multidisciplinary Sciences
Karina Vink
SN APPLIED SCIENCES
(2020)
Article
Electrochemistry
Baber Javed, Michihisa Koyama
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2020)
Article
Multidisciplinary Sciences
David S. Rivera Rocabado, Takayoshi Ishimoto, Michihisa Koyama
SN APPLIED SCIENCES
(2019)
Article
Chemistry, Multidisciplinary
Wei Xie, Michihisa Koyama
Proceedings Paper
Energy & Fuels
KarMa Vink, Eriko Ankyu, Martin Elborg, Michihisa Koyama
5TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS ENGINEERING (CPESE 2018)
(2019)
Article
Chemistry, Multidisciplinary
Kohei Kusada, Dongshuang Wu, Tomokazu Yamamoto, Takaaki Toriyama, Syo Matsumura, Wei Xie, Michihisa Koyama, Shogo Kawaguchi, Yoshiki Kubota, Hiroshi Kitagawa