Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
greatest decrease » treatment decreased (Expand Search), greater increase (Expand Search)
side decrease » sizes decrease (Expand Search), fid decreased (Expand Search), step decrease (Expand Search)
Showing 2,421 - 2,440 results of 21,342 for search '(( significant ((side decrease) OR (greatest decrease)) ) OR ( significant decrease decrease ))', query time: 0.48s Refine Results
  1. 2421
    Variation of creep strain rate of rock samples with the number of freeze-thaw cycles.

    Variation of creep strain rate of rock samples with the number of freeze-thaw cycles. by Dengke Yang (842532)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  2. 2422
    Effect of different doses (mg/Kg) of the defatted extract (DE) of the leaves of <i>S. malaccense</i> and <i>S. samarangense</i> on serum ALT and AST levels. Data represented as mean±SEM of n = 7, a: significant from the control group at <i>p</i> < 0.001, b: significant from the CdCl<sub>2</sub> group at <i>p</i> < 0.001.

    Effect of different doses (mg/Kg) of the defatted extract (DE) of the leaves of <i>S. malaccense</i> and <i>S. samarangense</i> on serum ALT and AST levels. Data represented as mea... by Fatma A. Moharram (9276104)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  3. 2423
    Superimposition of the cephalometric tracings obtained before and after treatment of case with premolar tooth extraction.

    Superimposition of the cephalometric tracings obtained before and after treatment of case with premolar tooth extraction. by Lijuan Liu (136685)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  4. 2424
    Superimposition of the cephalometric tracings obtained before and after treatment of case with mandibular third molar extraction.

    Superimposition of the cephalometric tracings obtained before and after treatment of case with mandibular third molar extraction. by Lijuan Liu (136685)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  5. 2425
    Typical measurement parameters.

    Typical measurement parameters. by Lijuan Liu (136685)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  6. 2426
    Cephalometric measurement points.

    Cephalometric measurement points. by Lijuan Liu (136685)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  7. 2427
    Posttreatment facial, intraoral photographs, and radiographs of the case with premolar tooth extraction.

    Posttreatment facial, intraoral photographs, and radiographs of the case with premolar tooth extraction. by Lijuan Liu (136685)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  8. 2428
    Anonymized raw cephalometric data.

    Anonymized raw cephalometric data. by Lijuan Liu (136685)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  9. 2429
    Posttreatment facial, intraoral photographs, and radiographs of the case with mandibular third molar extraction.

    Posttreatment facial, intraoral photographs, and radiographs of the case with mandibular third molar extraction. by Lijuan Liu (136685)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 2430
    Comparison of pretreatment cephalometric variables between premolar extraction and mandibular third molar extraction groups.

    Comparison of pretreatment cephalometric variables between premolar extraction and mandibular third molar extraction groups. by Lijuan Liu (136685)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  11. 2431
    Demographic characteristics of study participants.

    Demographic characteristics of study participants. by Lijuan Liu (136685)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  12. 2432
    Results of Analysis of Co-variance (ANCOVA) for change in parameter predicted by treatment group with pre-treatment value as a covariate. * p < 0.05; ** p < 0.01.

    Results of Analysis of Co-variance (ANCOVA) for change in parameter predicted by treatment group with pre-treatment value as a covariate. * p < 0.05; ** p < 0.01. by Lijuan Liu (136685)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  13. 2433
    Comparison of treatment effects between premolar extraction and mandibular third molar extraction groups. * p < 0.05; ** p < 0.01.

    Comparison of treatment effects between premolar extraction and mandibular third molar extraction groups. * p < 0.05; ** p < 0.01. by Lijuan Liu (136685)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 2434
    Comparison of upper and lower arch crowding between premolar extraction group and the mandibular third molar extraction groups.

    Comparison of upper and lower arch crowding between premolar extraction group and the mandibular third molar extraction groups. by Lijuan Liu (136685)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  15. 2435
    Intraoperative facial and intraoral photographs of the case with mandibular third molar extraction.

    Intraoperative facial and intraoral photographs of the case with mandibular third molar extraction. by Lijuan Liu (136685)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  16. 2436
    Pretreatment facial, intraoral photographs, and radiographs of the case with premolar tooth extraction.

    Pretreatment facial, intraoral photographs, and radiographs of the case with premolar tooth extraction. by Lijuan Liu (136685)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  17. 2437
    Pretreatment facial, intraoral photographs, and radiographs of the case with mandibular third molar extraction.

    Pretreatment facial, intraoral photographs, and radiographs of the case with mandibular third molar extraction. by Lijuan Liu (136685)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  18. 2438
    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to federal parks and protected areas (PPA), including national parks, national monuments, and national forests included in this study. The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables). Significant results (p<0.05) in bold. AQI = air quality index; PM 2.5 = particulate matter with a diameter of 2.5 microns.

    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to federal parks and protected areas (PPA), i... by Kira Minehart (21029571)

    Published 2025
    Save to List
    Saved in:
  19. 2439
    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to local parks and protected areas (PPA), including city parks, county parks, and regional parks included in this study. The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables). Significant results (p<0.05) in bold. AQI = air quality index; PM 2.5 = particulate matter with diameter <2.5 μm.

    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to local parks and protected areas (PPA), inc... by Kira Minehart (21029571)

    Published 2025
    Save to List
    Saved in:
  20. 2440
    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to state parks and protected areas (PPA), including state parks and state recreation areas included in this study. The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables). Significant results (p<0.05) in bold. AQI = air quality index; PM 2.5 = particulate matter with diameter <2.5 μm.

    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to state parks and protected areas (PPA), inc... by Kira Minehart (21029571)

    Published 2025
    Save to List
    Saved in:

Search Tools: