9 items found

Tags: Japanese

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  • dataset

    Additional file 2: Table S2. of What is the best adjustment of appendicular l...

    Mixed-effects analyses of fixed effects for ALM and 5 adjustments of ALM over 12 years* (XLSX 27 kb)
  • dataset

    Safety and efficacy of long-term treatment with teneligliptin: Interim analys...

    Background: This post-marketing surveillance examined the safety and efficacy of long-term teneligliptin therapy in Japanese patients. Research design and methods: We report...
  • dataset

    Cardiovascular safety and effectiveness of vildagliptin in patients with type...

    Objectives: The dipeptidyl peptidase-4 (DPP-4) inhibitor vildagliptin is indicated for type 2 diabetes mellitus (T2DM). However, the long-term safety, effectiveness, and...
  • dataset

    dedup_wf_001--df3a35be7d630193dfd58366c9ee862b

    31 food groups used in cluster analysis. (CSV 6 kb)
  • publication

    What is the best adjustment of appendicular lean mass for predicting mortalit...

    Background Age-related declines in skeletal muscle mass and strength, representing “sarcopenia,” are a growing concern in aging societies. However, the prevalence of low muscle...
  • publication

    Adequacy of iodine intake in three different Japanese adult dietary patterns:...

    Background Iodine intake is considered to be high in Japan due to regular seaweed consumption. Subgroups that do not have a traditional Japanese-style diet may consume...
  • dataset

    Additional file 1: Table S1. of What is the best adjustment of appendicular l...

    Coincidence rate of the lowest quintile among each variable (XLSX 10Â kb)
  • dataset

    Additional file 3: Figure S1. of What is the best adjustment of appendicular ...

    A. Estimated linear changes in ALM over 12 years by 4-year age groups at baseline. B. Estimated linear changes in ALM/leg length over 12 years by 4-year age groups at baseline....
  • dataset

    Webis Cross-Lingual Sentiment Dataset 2010 (Webis-CLS-10)

    The Cross-Lingual Sentiment (CLS) dataset comprises about 800.000 Amazon product reviews in the four languages English, German, French, and Japanese. For more information on...