Search alternatives:
significantly predicted » significantly reduced (Expand Search), significantly reduce (Expand Search), significant predictor (Expand Search)
significantly better » significantly greater (Expand Search), significantly higher (Expand Search), significantly lower (Expand Search)
predicted decrease » predicted secreted (Expand Search), reported decrease (Expand Search)
better decrease » greater decrease (Expand Search), teer decrease (Expand Search), between decreased (Expand Search)
Showing 181 - 200 results of 3,141 for search '(( significantly better decrease ) OR ( significantly predicted decrease ))', query time: 0.45s Refine Results
  1. 181
    Surface structure of B<sub>4</sub>C.

    Surface structure of B<sub>4</sub>C. by Charles Sarala Rubi (21608723)

    Published 2025
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  2. 182
    Response table for GRG.

    Response table for GRG. by Charles Sarala Rubi (21608723)

    Published 2025
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  3. 183
    Effect of Reinforcement Percentage on GRG.

    Effect of Reinforcement Percentage on GRG. by Charles Sarala Rubi (21608723)

    Published 2025
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  4. 184
    Surface structure of fly ash particles.

    Surface structure of fly ash particles. by Charles Sarala Rubi (21608723)

    Published 2025
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  5. 185
    Elemental composition of Fly Ash.

    Elemental composition of Fly Ash. by Charles Sarala Rubi (21608723)

    Published 2025
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  6. 186
    Composition of LM6 alloy.

    Composition of LM6 alloy. by Charles Sarala Rubi (21608723)

    Published 2025
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  7. 187
    Image of the prepared sample (Pins and Disc).

    Image of the prepared sample (Pins and Disc). by Charles Sarala Rubi (21608723)

    Published 2025
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  8. 188
    Micrograph of worn pin of LM6 alloy.

    Micrograph of worn pin of LM6 alloy. by Charles Sarala Rubi (21608723)

    Published 2025
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  9. 189
    Response graphs for GRG.

    Response graphs for GRG. by Charles Sarala Rubi (21608723)

    Published 2025
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  10. 190
    Effect of B<sub>4</sub>C& Fly ash on the hardness of AMCs.

    Effect of B<sub>4</sub>C& Fly ash on the hardness of AMCs. by Charles Sarala Rubi (21608723)

    Published 2025
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  11. 191
    Changes in volume, mass, and end-diastolic strain during experimental MR in dogs.

    Changes in volume, mass, and end-diastolic strain during experimental MR in dogs. by Johane H. Bracamonte (12883844)

    Published 2025
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  12. 192
    Biological impact of differentially expressed genes by calcitriol in CaSki cervical cancer cells. Diseases and functions obtained from differential expression profiling were analyzed using Ingenuity Pathway Analysis, showcasing the most significant findings. The z-score refers to the value for the predicted activation state of the biological process.

    Biological impact of differentially expressed genes by calcitriol in CaSki cervical cancer cells. Diseases and functions obtained from differential expression profiling were analyz... by Euclides Avila (41023)

    Published 2025
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  13. 193
    The predictive efficacy of GSRS in combination with GR and/or HSD11B1 for the prognosis of KIRC patients.

    The predictive efficacy of GSRS in combination with GR and/or HSD11B1 for the prognosis of KIRC patients. by Yu Zhang (12946)

    Published 2025
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  14. 194
    Comparison of training and predicted values of compound water solubility for different machine learning models: (A) AdaBoost, (B) GBDT, (C) LGBM, (D) RF, (E) XGBoost, (F) RF, and (G) StackBoost.

    Comparison of training and predicted values of compound water solubility for different machine learning models: (A) AdaBoost, (B) GBDT, (C) LGBM, (D) RF, (E) XGBoost, (F) RF, and (... by Bin Pan (742525)

    Published 2025
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  15. 195
    Certainty of affect predicted by positive and negative valence.

    Certainty of affect predicted by positive and negative valence. by Anthony G. Vaccaro (5964368)

    Published 2025
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  16. 196
    Prediction performance of each model.

    Prediction performance of each model. by Ahmed S. Alkhalifah (20721713)

    Published 2025
    “…Nonsurvivors had a significantly higher time-weighted average MP (TWA-MP) than survivors. …”
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  17. 197
    Hazard ratios (HR) for all-cause mortality with 95% confidence intervals from Cox regression models using the 2005 vs. the 2022 guidelines for grading severity, normal FVC (<i>n</i> = 5,238) and normal TLCO (<i>n</i> = 3,704) as reference for lung function severity, sarcoidosis as reference for other diagnosis groups.

    Hazard ratios (HR) for all-cause mortality with 95% confidence intervals from Cox regression models using the 2005 vs. the 2022 guidelines for grading severity, normal FVC (<i>n</i... by Piotr W. Boros (21446186)

    Published 2025
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  18. 198
    Characteristics of patients with abnormal lung function whose severity classification changed when the <i>z</i>-score guidelines from 2022 were applied in comparison to those who were not reclassified and stayed in 2005 category.

    Characteristics of patients with abnormal lung function whose severity classification changed when the <i>z</i>-score guidelines from 2022 were applied in comparison to those who w... by Piotr W. Boros (21446186)

    Published 2025
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  19. 199
    Changes in the liver fibrosis-related markers in breast cancer patients with a FIB-4 index of >2.30 during letrozole treatment.

    Changes in the liver fibrosis-related markers in breast cancer patients with a FIB-4 index of >2.30 during letrozole treatment. by Kazuyoshi Ohkawa (836847)

    Published 2024
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  20. 200
    Flowchart of patient selection in this study.

    Flowchart of patient selection in this study. by Kazuyoshi Ohkawa (836847)

    Published 2024
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