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Showing 81 - 100 results of 32,016 for search '(( ((c largest) OR (a large)) decrease ) OR ((( i values decrease ) OR ( amh levels increased ))))', query time: 1.67s Refine Results
  1. 81
    Generalizable improvement of QOL measures on day 7 vs. infusion day.

    Generalizable improvement of QOL measures on day 7 vs. infusion day. by Jordan K. Abbott (8934239)

    Published 2022
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  2. 82
    The Ka/Ks values of PtWRKY paralogous gene pairs.

    The Ka/Ks values of PtWRKY paralogous gene pairs. by Yuzhao Ma (12840632)

    Published 2025
    “…All poplar WRKY proteins are hydrophilic, located in the cell nucleus, and form target relationships with a large number of miRNAs, with their promoter containing a large number of stress defense elements. …”
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  3. 83
    Plots of FEV<sub>1</sub> (upper left), FVC (upper right), TLC (lower left) and TLCO (lower right) values expressed in % pred. (<i>y</i>-axis) against <i>z</i>-scores (<i>x</i>-axis) with subjects stratified by age group.

    Plots of FEV<sub>1</sub> (upper left), FVC (upper right), TLC (lower left) and TLCO (lower right) values expressed in % pred. (<i>y</i>-axis) against <i>z</i>-scores (<i>x</i>-axis... by Piotr W. Boros (21446186)

    Published 2025
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  4. 84
    Linear regression coefficients (S.E.) of sex hormones with a unit increase in ln-acrylamide and glycidamide adduct concentrations, with results weighted for sampling strategy.

    Linear regression coefficients (S.E.) of sex hormones with a unit increase in ln-acrylamide and glycidamide adduct concentrations, with results weighted for sampling strategy. by Pei-Lun Chu (259459)

    Published 2020
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  5. 85
    Effect of parameter <i>a</i> on the model equations by increasing and decreasing value of <i>a</i> to 25%.

    Effect of parameter <i>a</i> on the model equations by increasing and decreasing value of <i>a</i> to 25%. by Shakoor Ahmad (168711)

    Published 2022
    “…<p><b>(a)</b> By increasing the value ‘<i>a</i>’ from 0.107 to 0.134. <b>(b)</b> By decreasing the value ‘<i>a</i>’ from 0.107 to 0.08.…”
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  6. 86
    TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of number of stressor responses.

    TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... by Brent J. Bellinger (21156150)

    Published 2025
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  7. 87
    Histograms of model vertex von Mises stress values exceeding 5 MPa.

    Histograms of model vertex von Mises stress values exceeding 5 MPa. by Nathan L. Wright (18389458)

    Published 2024
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  8. 88
    Distribution of stable isotope values for consumers faceted by coastscape and feeding habit.

    Distribution of stable isotope values for consumers faceted by coastscape and feeding habit. by Nathan D. McTigue (10706460)

    Published 2025
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  9. 89
    Distribution of stable carbon and nitrogen values for pPOM and sPOM.

    Distribution of stable carbon and nitrogen values for pPOM and sPOM. by Nathan D. McTigue (10706460)

    Published 2025
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  10. 90
    Benchmarking DFT Accuracy in Predicting O 1s Binding Energies on Metals

    Benchmarking DFT Accuracy in Predicting O 1s Binding Energies on Metals by Elizabeth E. Happel (22391811)

    Published 2025
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  11. 91
    Benchmarking DFT Accuracy in Predicting O 1s Binding Energies on Metals

    Benchmarking DFT Accuracy in Predicting O 1s Binding Energies on Metals by Elizabeth E. Happel (22391811)

    Published 2025
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  12. 92
    Table_5_An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study.xlsx

    Table_5_An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study.xlsx by Yong Han (111920)

    Published 2022
    “…Purpose<p>To establish a more convenient ovarian reserve model with anti-Müllerian hormone (AMH) level and age (the AA model), with blood samples taken at any time in the menstrual cycle.…”
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  13. 93
    Table_3_An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study.xlsx

    Table_3_An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study.xlsx by Yong Han (111920)

    Published 2022
    “…Purpose<p>To establish a more convenient ovarian reserve model with anti-Müllerian hormone (AMH) level and age (the AA model), with blood samples taken at any time in the menstrual cycle.…”
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  14. 94
    Image_1_An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study.jpeg

    Image_1_An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study.jpeg by Yong Han (111920)

    Published 2022
    “…Purpose<p>To establish a more convenient ovarian reserve model with anti-Müllerian hormone (AMH) level and age (the AA model), with blood samples taken at any time in the menstrual cycle.…”
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  15. 95
    Table_4_An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study.xlsx

    Table_4_An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study.xlsx by Yong Han (111920)

    Published 2022
    “…Purpose<p>To establish a more convenient ovarian reserve model with anti-Müllerian hormone (AMH) level and age (the AA model), with blood samples taken at any time in the menstrual cycle.…”
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  16. 96
    Table_2_An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study.xlsx

    Table_2_An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study.xlsx by Yong Han (111920)

    Published 2022
    “…Purpose<p>To establish a more convenient ovarian reserve model with anti-Müllerian hormone (AMH) level and age (the AA model), with blood samples taken at any time in the menstrual cycle.…”
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  17. 97
    Table_1_An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study.xlsx

    Table_1_An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study.xlsx by Yong Han (111920)

    Published 2022
    “…Purpose<p>To establish a more convenient ovarian reserve model with anti-Müllerian hormone (AMH) level and age (the AA model), with blood samples taken at any time in the menstrual cycle.…”
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  18. 98
    The computed weighted sum of type I (dark gray) and type II (light gray) errors (

    The computed weighted sum of type I (dark gray) and type II (light gray) errors ( by Farrokh Habibzadeh (12256529)

    Published 2025
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  19. 99
    The computed weighted sum of type I (dark gray) and type II (light gray) errors (

    The computed weighted sum of type I (dark gray) and type II (light gray) errors ( by Farrokh Habibzadeh (12256529)

    Published 2025
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  20. 100
    The computed weighted sum of type I (dark gray) and type II (light gray) errors (

    The computed weighted sum of type I (dark gray) and type II (light gray) errors ( by Farrokh Habibzadeh (12256529)

    Published 2025
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