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    Substrate Effect on Plasma Clean Efficiency in Plasma Enhanced Chemical Vapor Deposition System by Shiu-Ko JangJian, Ying-Lang Wang

    Published 2007-01-01
    “…The plasma clean in a plasma-enhanced chemical vapor deposition (PECVD) system plays an important role to ensure the same chamber condition after numerous film depositions. …”
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  4. 684

    Advantages of Combining Factorization Machine with Elman Neural Network for Volatility Forecasting of Stock Market by Fang Wang, Sai Tang, Menggang Li

    Published 2021-01-01
    “…We developed a hybrid approach which combined Elman recurrent network with factorization machine (FM) technique, i.e., the FM-Elman neural network, to predict stock market volatility. …”
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  5. 685

    Producing Effective and Clean Coke for Household Combustion Activities to Reduce Gaseous Pollutant Emissions by Shoujun Liu, Ju Shangguan, Song Yang, Wenguang Du, Xudong Yan, Kaixia Zhang

    Published 2019-01-01
    “…The average emission factors (EFs) of PM, SO2, and NOx for the prepared clean coke were small during combustion and were much lower than the EFs of the tested raw coal, semicoke, and briquettes.…”
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  6. 686
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    Workspace Analysis of Auxiliary Slag Cleaning Device of TBM based on Monte Carlo Method by Jia Liangfei, Ma Chaofeng, Liu Kai

    Published 2020-04-01
    “…Aiming at the current rock burst problems encountered in hard rock excavation construction,a set of six-degree-of-freedom automatic excavation equipment which can replace the current artificial slag and can work well in a narrow working space is designed.The specific design is on the basis of the traditional excavating machine,two telescopic arm structures and a swing arm structure are added,and each rod length and each joint variable are set by kinematically modeling the mechanical arm.The design overcomes the problem of the small amount of operable space and the protection of the supporting I-beam for the pre-supported tunnel,and expands the working space of the conventional excavation equipment in a narrow space.The overall structure of the excavation equipment and the kinematics modeling process are expounded.By using the characteristics of Monte Carlo method in random number application,the workspace of this device is simulated.At the same time,the joint parameters are reversed and verified.The results are in line with the expected joint operating range.The slag cleaning device can improve the working efficiency of cleaning the gravel caused by rock burst,and can reduce the construction cost of the hard rock tunneling.…”
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  8. 688

    Adjuvant treatments for locally advanced differentiated thyroid cancer: a nationwide survey in Japan by Terufumi Kawamoto, Koichi Yasuda, Yoshinori Ito, Sadamoto Zenda, Katsuyuki Sakanaka, Naoto Shikama, Naoki Nakamura, Takashi Mizowaki

    Published 2023-10-01
    “…A survey on treatment selection criteria for hypothetical locally advanced DTC was administered to representative thyroid surgeons of facilities participating in the Japan Clinical Oncology Group Radiation Therapy Study Group. …”
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    Nursing Leadership in a Rapidly Aging Society: Implications of “The Future of Nursing” Report in Japan by Harue Masaki, Hiroko Nagae, Megumi Teshima, Shigeko Izumi

    Published 2012-01-01
    “…Particular areas and activities by nurses in Japan will be presented as examples of nurses taking leadership in designing care for the rapidly aging society of Japan.…”
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    Modes of delivery and indications in women with COVID-19: a regional observational study in Japan by Shoichi Magawa, Shintaro Maki, Yuya Tamaishi, Naosuke Enomoto, Sho Takakura, Masafumi Nii, Kyohei Yamaguchi, Toru Hirata, Kenji Nagao, Yuka Maegawa, Kazuhiro Osato, Hiroaki Tanaka, Eiji Kondo, Tomoaki Ikeda

    Published 2024-12-01
    “…Background During the coronavirus disease (COVID-19) pandemic, caesarean section (CS) has been the preferred deliver method for pregnant women with COVID-19 in order to limit the use of hospital beds and prevent morbidity among healthcare workers.Methods To evaluate delivery methods used during the COVID-19 pandemic as well as the rates of adverse events and healthcare worker morbidity associated with caesarean deliveries.Methods We investigated maternal and neonatal backgrounds, delivery methods, indications and complication rates among pregnant women with COVID-19 from December 2020 to August 2022 in Mie Prefecture, Japan. The predominant mutation period was classified as the pre-Delta, Delta and Omicron epoch.Results Of the 1291 pregnant women with COVID-19, 59 delivered; 23 had a vaginal delivery and 36 underwent CS. …”
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  15. 695

    PROSPECTS FOR THE APPLICATION OF DISTRIBUTED LEDGER TECHNOLOGY TO IMPROVE FINANCING OF START-UP (JAPAN EXPERIENCE) by S. S. Matveevskii

    Published 2019-10-01
    “…A project on the use of distributed registry technology to improve funding for start-ups in Japan has been considered. The project is based on the application of distributed registry technology, smart contracts, a big database of start-ups credit risk (in Japan CRDS), a local investment fund, a unified marketing and trading platform. …”
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  16. 696

    Spontaneous Rupture of an Unscarred Gravid Uterus in a Primigravid Woman at 32 Weeks of Gestation by Etsuko Mizutamari, Tomoko Honda, Takashi Ohba, Hidetaka Katabuchi

    Published 2014-01-01
    “…We report a case of spontaneous rupture of an unscarred gravid uterus at 32 weeks of gestation in a primigravid woman. Ultrasonography and magnetic resonance imaging showed a bulging cystic lesion communicating with the intrauterine cavity. …”
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    Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle by Ruijun Liu, Dapai Shi, Chao Ma

    Published 2014-01-01
    “…Through researching the instantaneous control strategy and Elman neural network, the paper established equivalent fuel consumption functions under the charging and discharging conditions of power batteries, deduced the optimal control objective function of instantaneous equivalent consumption, established the instantaneous optimal control model, and designs the Elman neural network controller. …”
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