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Showing 1,981 - 2,000 results of 21,342 for search '(( significant decrease decrease ) OR ( significant ((greatest decrease) OR (rate decreased)) ))', query time: 0.40s Refine Results
  1. 1981
    Effects of LTS on the soluble protein.

    Effects of LTS on the soluble protein. by Lifeng Guo (17320116)

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  2. 1982
    Effects of LTS on POD.

    Effects of LTS on POD. by Lifeng Guo (17320116)

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  3. 1983
    Effects of LTS on P<sub>n</sub>.

    Effects of LTS on P<sub>n</sub>. by Lifeng Guo (17320116)

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  4. 1984
    Effects of LTS on the soluble sugar.

    Effects of LTS on the soluble sugar. by Lifeng Guo (17320116)

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  5. 1985
    Effects of LTS on C<sub>i</sub>.

    Effects of LTS on C<sub>i</sub>. by Lifeng Guo (17320116)

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  6. 1986
    Supporting information_raw dataset.

    Supporting information_raw dataset. by Nusrat Jahan Mumu (22305359)

    Published 2025
    “…While HR enhanced most soil P fractions, higher N rates (>N100) tended to decrease labile-Pi (inorganic) fractions by up to 45% suggesting a potential decline in plant-available P. …”
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  7. 1987
    Soil phosphorus fractionations procedure [41].

    Soil phosphorus fractionations procedure [41]. by Nusrat Jahan Mumu (22305359)

    Published 2025
    “…While HR enhanced most soil P fractions, higher N rates (>N100) tended to decrease labile-Pi (inorganic) fractions by up to 45% suggesting a potential decline in plant-available P. …”
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  8. 1988
    Effects of LTS on H<sub>2</sub>O<sub>2</sub>.

    Effects of LTS on H<sub>2</sub>O<sub>2</sub>. by Lifeng Guo (17320116)

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  9. 1989
    The hourly temperatures in the phytotron.

    The hourly temperatures in the phytotron. by Lifeng Guo (17320116)

    Published 2025
    “…The net photosynthetic rate (P<sub>n</sub>) decreased the most at the booting stage, followed by the tillering, and the heading stages. …”
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  10. 1990
    Key significant pathways in the final models of self-compassion.

    Key significant pathways in the final models of self-compassion. by Eriko Takahashi (22608061)

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  11. 1991
    Metabolome data of the discovery cohort.

    Metabolome data of the discovery cohort. by Feng Gao (3548)

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  12. 1992
    The orthogonal projection to latent structure discriminant analysis (OPLS-DA) analysis of the three groups (OC vs HC, OC vs RC and RC vs HC) of the discovery cohort.

    The orthogonal projection to latent structure discriminant analysis (OPLS-DA) analysis of the three groups (OC vs HC, OC vs RC and RC vs HC) of the discovery cohort. by Feng Gao (3548)

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  13. 1993
    S9 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases

    S9 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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  14. 1994
    S3 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases

    S3 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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  15. 1995
    Clinical characteristics of COVID-19 cases and healthy controls in the discovery cohort.

    Clinical characteristics of COVID-19 cases and healthy controls in the discovery cohort. by Feng Gao (3548)

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  16. 1996
    S7 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases

    S7 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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  17. 1997
    S2 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases

    S2 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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  18. 1998
    Relative intensities of differential metabolites that may serve as potential metabolic biomarkers in Omicron variant cases.

    Relative intensities of differential metabolites that may serve as potential metabolic biomarkers in Omicron variant cases. by Feng Gao (3548)

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  19. 1999
    S4 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases

    S4 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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  20. 2000
    S6 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases

    S6 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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