Showing 821 - 840 results of 15,077 for search '"standardization"', query time: 0.08s Refine Results
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    The leadership and supervisory practices of principals in public secondary schools of the State of Amhara, Ethiopia, as perceived by teachers by Melaku Mengistu Gebremeskel, Demeke Wolie Ambaye

    Published 2023-01-01
    Subjects: “…Leadership; supervision; principals; instructional leadership; national standards…”
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    Article
  7. 827

    Virtual employment — the form of future employment by I. V. Tsygankova

    Published 2018-06-01
    Subjects: “…non-standard employment…”
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  8. 828
  9. 829

    The leadership and supervisory practices of principals in public secondary schools of the State of Amhara, Ethiopia, as perceived by teachers by Melaku Mengistu Gebremeskel, Demeke Wolie Ambaye

    Published 2023-01-01
    Subjects: “…Leadership; supervision; principals; instructional leadership; national standards…”
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    Article
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    基于现行标准实施后市售一级大豆油品质分析 "Quality analysis of commercially available grade 1 soybean oils after the national standard revision" by 陈焱1,王翔宇1,尤梦圆1,刘芯羽1,李晓龙1,孙承国2,王风艳2 " CHEN Yan1, WANG Xiangyu1, YOU Mengyuan1, LIU Xinyu1, LI Xiaolong1, SUN Chengguo2,WANG Fengyan1"

    Published 2025-01-01
    “…In summary, soybean oil manufacturers should adhere to the principle of moderate processing, retaining the nutrients and reducing the generation of hazardous substances as far as possible while ensuring that the product quality meets the required standards. …”
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  18. 838

    A Statistical Estimation Approach for Quantitative Concentrations of Compounds Lacking Authentic Standards/Surrogates Based on Linear Correlations between Directly Measured Detector Responses and Carbon Number of Different Functional Groups by Yong-Hyun Kim, Ki-Hyun Kim

    Published 2013-01-01
    “…A statistical approach was investigated to estimate the concentration of compounds lacking authentic standards/surrogates (CLASS). As a means to assess the reliability of this approach, the response factor (RF) of CLASS is derived by predictive equations based on a linear regression (LR) analysis between the actual RF (by external calibration) of 18 reference volatile organic compounds (VOCs) consisting of six original functional groups and their physicochemical parameters ((1) carbon number (CN), (2) molecular weight (MW), and (3) boiling point (BP)). …”
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