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  • Developing a Novel Prosthet... Developing a Novel Prosthetic Hand with Wireless Wearable Sensor Technology Based on User Perspectives: A Pilot Study
    Shimizu, Yukiyo; Mori, Takahiko; Yoshikawa, Kenichi ... Sensors (Basel, Switzerland), 05/2024, Letnik: 24, Številka: 9
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    Myoelectric hands are beneficial tools in the daily activities of people with upper-limb deficiencies. Because traditional myoelectric hands rely on detecting muscle activity in residual limbs, they ...
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  • Physiological polyspermy: S... Physiological polyspermy: Selection of a sperm nucleus for the development of diploid genomes in amphibians
    Iwao, Yasuhiro; Kimoto, Chihiro; Fujimoto, Ayaka ... Molecular reproduction and development, March 2020, Letnik: 87, Številka: 3
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    The union between a sperm and an egg nucleus in egg fertilization is necessary to mix genetic materials to create a new diploid genome for the next generation. In most animals, only one sperm is ...
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  • The enhancing effects of he... The enhancing effects of heparin on the biological activity of FGF-2 in heparin−FGF-2−calcium phosphate composite layers
    Yasunaga, Mayu; Kobayashi, Fumiko; Sogo, Yu ... Acta biomaterialia, 08/2022, Letnik: 148
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    Orthopedic and dental implants coated with fibroblast growth factor-2 (FGF-2)−calcium phosphate composite layers promote dermis formation, bone formation, and angiogenesis because of the biological ...
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  • Intranuclear DNA density af... Intranuclear DNA density affects chromosome condensation in metazoans
    Hara, Yuki; Iwabuchi, Mari; Ohsumi, Keita ... Molecular biology of the cell 24, Številka: 15
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    Chromosome condensation is critical for accurate inheritance of genetic information. The degree of condensation, which is reflected in the size of the condensed chromosomes during mitosis, is not ...
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15.
  • The utility of texture anal... The utility of texture analysis of kidney MRI for evaluating renal dysfunction with multiclass classification model
    Hara, Yuki; Nagawa, Keita; Yamamoto, Yuya ... Scientific reports, 08/2022, Letnik: 12, Številka: 1
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    Abstract We evaluated a multiclass classification model to predict estimated glomerular filtration rate (eGFR) groups in chronic kidney disease (CKD) patients using magnetic resonance imaging (MRI) ...
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  • A novel three-dimensional M... A novel three-dimensional MRI-CT image fusion technique for precise preoperative evaluation and treatment of capitellar osteochondritis dissecans
    Kohyama, Sho; Nishiura, Yasumasa; Hara, Yuki ... European radiology, 08/2021, Letnik: 31, Številka: 8
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    Objectives We developed a novel method to create three-dimensional magnetic resonance imaging-CT (3D MRI-CT) fusion images for detailed lesion evaluation and surgical simulation in capitellar ...
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  • Investigation of hearing ai... Investigation of hearing aid fitting according to the national acoustic laboratories’ prescription for non-linear hearing aids and the desired sensation level methods in Japanese speakers: a crossover-controlled trial
    Furuki, Shogo; Sano, Hajime; Kurioka, Takaomi ... Auris, nasus, larynx, October 2023, 2023-Oct, 2023-10-00, 20231001, Letnik: 50, Številka: 5
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    Some studies have directly compared the National Acoustic Laboratories’ prescription for non-linear hearing aids (HAs) version 2 (NAL-NL2) and Desired Sensation Level for non-linear HAs version 5 ...
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  • An image fusion system for ... An image fusion system for corrective osteotomy of distal radius malunion
    Yoshii, Yuichi; Ogawa, Takeshi; Hara, Yuki ... Biomedical engineering online, 06/2021, Letnik: 20, Številka: 1
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    Abstract Background To provide surgical support for corrective osteotomy, we developed an image fusion system for three-dimensional (3D) preoperative planning and fluoroscopy. To assess the utility ...
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20.
  • The utility of automatic se... The utility of automatic segmentation of kidney MRI in chronic kidney disease using a 3D convolutional neural network
    Inoue, Kaiji; Hara, Yuki; Nagawa, Keita ... Scientific reports, 10/2023, Letnik: 13, Številka: 1
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    Abstract We developed a 3D convolutional neural network (CNN)-based automatic kidney segmentation method for patients with chronic kidney disease (CKD) using MRI Dixon-based T1-weighted in-phase ...
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