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    Detection and Quantization of Bearing Fault in Direct Drive Wind Turbine via Comparative Analysis by Wei Teng, Rui Jiang, Xian Ding, Yibing Liu, Zhiyong Ma

    Published 2016-01-01
    “…Furthermore, varying wind speed and alternating loads make it difficult to quantize bearing fault feature that indicates the degree of deterioration. …”
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    Article
  3. 363

    Smart strategy in statistics: choosing appropriate test tools for data and hypotheses in quantitative research by Nana Darna, Iwan Setiawan, M. Aziz Basari, Kasman Kasman

    Published 2024-07-01
    Subjects: “…statistical testing tools, data types, hypothesis types, quantitative…”
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    Article
  4. 364
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    Diverse vaginal microbiota in healthy Japanese women: a combined relative and quantitative analyses by Masahiro Ito, Misaki Kataoka, Yoichi Sato, Hideki Nachi, Koji Nomoto, Koji Nomoto, Nobuhiko Okada

    Published 2025-02-01
    “…IntroductionThis cross-sectional study aimed to characterize the viable vaginal microbiota and identify host factors influencing this microbiota by employing a combination of relative and quantitative analyses.MethodsTwenty-four vaginal fluid samples were collected from healthy adult Japanese women for analysis. …”
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    Development of a Simple and Powerful Analytical Method for Formaldehyde Detection and Quantitation in Blood Samples by Yong-Hyun Kim, Jeongsik Park

    Published 2020-01-01
    “…Entry of FA into the human body can have adverse effects on human health, depending on the FA concentration. Thus, a quantitative analysis of FA in blood is necessary in order to estimate its effect on the human body. …”
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  8. 368

    3D Curvelet-Based Segmentation and Quantification of Drusen in Optical Coherence Tomography Images by M. Esmaeili, A. M. Dehnavi, H. Rabbani

    Published 2017-01-01
    “…This imaging modality can assist clinicians in monitoring the progression of Age-related Macular Degeneration (AMD) by providing high-resolution visualization of drusen. Quantitative tools for assessing drusen volume that are indicative of AMD progression may lead to appropriate metrics for selecting treatment protocols. …”
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  9. 369

    Quantitative Ecological Study of Pilan Forest as a Baseline for Development of Gianyar Botanic Garden by Farid Kuswantoro, I Nyoman Lugrayasa, Wawan Sujarwo

    Published 2018-11-01
    “…Quantitative ecological research is needed as a baseline in the future construction and development of botanic gardens. …”
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    Canonical quantization of the U(1) gauge field in the right Rindler-wedge in the Rindler coordinates by Shingo Takeuchi

    Published 2024-12-01
    “…Abstract In this study, the canonical quantization of the U(1) gauge field in the Lorentz-covariant gauge in the right Rindler-wedge (RRW) of the four-dimensional Rindler coordinates is performed. …”
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  12. 372

    Quantitative Analysis and Band Gap Determination for CIGS Absorber Layers Using Surface Techniques by Yun Jung Jang, Jihye Lee, Kang-Bong Lee, Donghwan Kim, Yeonhee Lee

    Published 2018-01-01
    “…To enhance the conversion performance of CIGS solar cells, understanding the CIGS structure and composition is a crucial challenge. We conducted a quantitative study to determine the bulk composition of the major elements such as Cu, In, Ga, and Se of four different CIGS photovoltaic cells. …”
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    An approach towards effective ecological planning: Quantitative analysis of urban green space characteristics by R. Teimouri, T. Yigitcanlar

    Published 2018-04-01
    “…In this study, it is attempted to investigate Tabriz city of Iran is in terms of ecological planning to quantitatively analyse its green space characteristics. …”
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  16. 376

    A new regional reference evapotranspiration model based on quantile approximation of meteorological variables by Guomin Huang, Jianhua Dong, Lifeng Wu, Jingwei Luo, Rangjian Qiu, Yaokui Cui, Yicheng Wang

    Published 2025-03-01
    “…The method, which creating ETo models based on temperature at meteorological stations that have the highest quantile matching with the target station's meteorological variables based on the closest meteorological data characteristics. …”
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