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Showing 5,561 - 5,580 results of 23,970 for search '(( significantly ((linear increase) OR (greatest decrease)) ) OR ( significant decrease decrease ))', query time: 0.61s Refine Results
  1. 5561
    FT-IR results.

    FT-IR results. by Caglar Akcay (6910697)

    Published 2025
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  2. 5562
    Analyzing the relationship between UACR and cognitive scores and impairment.

    Analyzing the relationship between UACR and cognitive scores and impairment. by Yubo Teng (21246745)

    Published 2025
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  3. 5563
    The comparison of ν<sub>s</sub> – RHOB trends models with experimental measurements.

    The comparison of ν<sub>s</sub> – RHOB trends models with experimental measurements. by Fahd Saeed Alakbari (10701871)

    Published 2025
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  4. 5564
    Complete results of regression analyses of the candidate gene approach.

    Complete results of regression analyses of the candidate gene approach. by Dai Nogimura (21445649)

    Published 2025
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  5. 5565
    The comparison of ν<sub>s</sub> – DTs trends models with experimental measured values for RHOB = 2.33 g/cc and DTc = 118.67 us/ft.

    The comparison of ν<sub>s</sub> – DTs trends models with experimental measured values for RHOB = 2.33 g/cc and DTc = 118.67 us/ft. by Fahd Saeed Alakbari (10701871)

    Published 2025
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  6. 5566
    Distribution of continuous variables of all 3 visits (visit 1 = day 0, visit 2 = day 35, and visit 3 = day 70) of the PCSO-524 group and the placebo group. Results are shown as mean ± standard deviation (SD) for normally distributed variables and median with interquartile ranges for non-normally distributed.

    Distribution of continuous variables of all 3 visits (visit 1 = day 0, visit 2 = day 35, and visit 3 = day 70) of the PCSO-524 group and the placebo group. Results are shown as mea... by Nattapon Riengvirodkij (11268720)

    Published 2025
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  7. 5567
    eQTL analysis for proxy SNPs of <i>PRMT6</i>-<i>NTNG1</i> rs12028323.

    eQTL analysis for proxy SNPs of <i>PRMT6</i>-<i>NTNG1</i> rs12028323. by Dai Nogimura (21445649)

    Published 2025
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  8. 5568
    The optimized GPR approach’s cross-plotting for the training dataset.

    The optimized GPR approach’s cross-plotting for the training dataset. by Fahd Saeed Alakbari (10701871)

    Published 2025
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  9. 5569
    Methodology flowchart.

    Methodology flowchart. by Fahd Saeed Alakbari (10701871)

    Published 2025
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  10. 5570
    The most common machine learning methods to predict ν<sub>s</sub>.

    The most common machine learning methods to predict ν<sub>s</sub>. by Fahd Saeed Alakbari (10701871)

    Published 2025
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  11. 5571
    Tricuspid regurgitation pressure gradient of all 17 dogs.

    Tricuspid regurgitation pressure gradient of all 17 dogs. by Nattapon Riengvirodkij (11268720)

    Published 2025
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  12. 5572
    Trend analysis of the ν<sub>s</sub> – DTc in the range found in the dataset used for the optimized GPR.

    Trend analysis of the ν<sub>s</sub> – DTc in the range found in the dataset used for the optimized GPR. by Fahd Saeed Alakbari (10701871)

    Published 2025
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  13. 5573
    Statistical error analyses of the proposed or optimized GPR model.

    Statistical error analyses of the proposed or optimized GPR model. by Fahd Saeed Alakbari (10701871)

    Published 2025
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  14. 5574
    FT-IR results.

    FT-IR results. by Caglar Akcay (6910697)

    Published 2025
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  15. 5575
    Density differences between pre- and post-measurements for program completers (N = 160).

    Density differences between pre- and post-measurements for program completers (N = 160). by Anton Kurapov (11346019)

    Published 2025
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  16. 5576
    Fracture pressure based on proposed GPR Poisson’s ratio model.

    Fracture pressure based on proposed GPR Poisson’s ratio model. by Fahd Saeed Alakbari (10701871)

    Published 2025
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  17. 5577
    Tricuspid regurgitation pressure gradient in the PCSO-524 and placebo groups.

    Tricuspid regurgitation pressure gradient in the PCSO-524 and placebo groups. by Nattapon Riengvirodkij (11268720)

    Published 2025
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  18. 5578
    Baseline characteristics of participants (N = 2385) by UACR.

    Baseline characteristics of participants (N = 2385) by UACR. by Yubo Teng (21246745)

    Published 2025
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  19. 5579
    Comparison of ν<sub>s</sub> measured and predicted estimates of the optimized GPR approach for (a) training, (b) validation, and (c) testing datasets.

    Comparison of ν<sub>s</sub> measured and predicted estimates of the optimized GPR approach for (a) training, (b) validation, and (c) testing datasets. by Fahd Saeed Alakbari (10701871)

    Published 2025
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  20. 5580
    FT-IR results.

    FT-IR results. by Caglar Akcay (6910697)

    Published 2025
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