课题基金 / 基金详情

Association between muscle stiffness and athletic performance: examined by new intervention

Association between muscle stiffness and athletic performance: examined by new intervention
肌肉僵硬与运动表现之间的关联:通过新的干预措施进行检验
批准号:
18K17813
负责人:
Ando Ryosuke
金额:
$2.58万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Early-Career Scientists
财政年份:
2018
资助国家:
日本
项目状态:
已结题
起止时间:
2018-04-01 至 2022-03-31

项目摘要

项目成果

Ando Ryosuke的其他基金

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期刊论文(19)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.jelekin.2020.102452
发表时间: 2020
期刊: Journal of Electromyography and Kinesiology
影响因子: 2.5
作者: [Hiroshi Akima, Hisashi Maeda, Teruhiko Koike, Koji Ishida, Ryosuke Ando]
通讯作者: Ryosuke Ando
DOI: 10.1123/ijspp.2019-0118
发表时间: 2020-01-01
期刊: INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE
影响因子: 3.3
作者: [Yamanaka, Ryo, Ohnuma, Hayato, Suzuki, Yasuhiro]
通讯作者: Suzuki, Yasuhiro
Effect of knee joint angle on neuromuscular activation of the quadriceps femoris during fatiguing contractions
膝关节角度对疲劳收缩时股四头肌神经肌肉激活的影响
DOI: --
发表时间: 2019
期刊:
影响因子: --
作者: [Hiroshi Akima, Aya Tomita, Ryosuke Ando]
通讯作者: Ryosuke Ando
DOI: --
发表时间: 2021
期刊:
影响因子: --
作者: [笠井信一, 小島千尋, 安藤良介, 鈴木康弘]
通讯作者: 鈴木康弘
15
    Development and validation of gigantic-earthquake simulator in New Zealand
    • 批准号:
      18KK0095
    • 项目类别:
      Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))
    • 资助金额:
      $5.08万
    • 财政年份:
      2018
    • 负责人:
      Ando Ryosuke
    • 依托单位:
    Impact of insulin resistance on prostate cancer in Japanese men: A prospective cohort study
    • 批准号:
      16K11022
    • 项目类别:
      Grant-in-Aid for Scientific Research (C)
    • 资助金额:
      $3.0万
    • 财政年份:
      2016
    • 负责人:
      Ando Ryosuke
    • 依托单位:
    Impact of insulin resistance on kidney stones in the Japanese population
    • 批准号:
      25860446
    • 项目类别:
      Grant-in-Aid for Young Scientists (B)
    • 资助金额:
      $2.66万
    • 财政年份:
      2013
    • 负责人:
      Ando Ryosuke
    • 依托单位:
    Inferring frictional properties at wide range of slip rate based on natural earthquake data and physical modelling