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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
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genes decrease » teer decrease (Expand Search), sizes decrease (Expand Search), levels decreased (Expand Search)
Showing 3,321 - 3,340 results of 21,342 for search '(( significant decrease decrease ) OR ( significant ((genes decrease) OR (greatest decrease)) ))', query time: 0.39s Refine Results
  1. 3321
    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
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  2. 3322
    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
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  3. 3323
    Demographic characteristics of study participants.

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

    Published 2025
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  4. 3324
    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
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  5. 3325
    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
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  6. 3326
    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
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  7. 3327
    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
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  8. 3328
    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
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  9. 3329
    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
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  10. 3330
    Cluster 7—Gene Ontology.

    Cluster 7—Gene Ontology. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
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  11. 3331
    Cluster 4—Gene Ontology.

    Cluster 4—Gene Ontology. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
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  12. 3332
    Cluster 2—Gene Ontology.

    Cluster 2—Gene Ontology. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
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  13. 3333
    Cluster 3—Gene Ontology.

    Cluster 3—Gene Ontology. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
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  14. 3334
    Cluster 5—Gene Ontology.

    Cluster 5—Gene Ontology. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
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  15. 3335
    Cluster 1—Gene Ontology.

    Cluster 1—Gene Ontology. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
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  16. 3336
    Cluster 6—Gene Ontology.

    Cluster 6—Gene Ontology. by Janaina de Freitas Nascimento (3849415)

    Published 2024
    “…The results revealed five proteins that were increased and four that were decreased in common in the presence of Pro+BCAAs, indicating their possible participation in key processes related to metacyclogenesis. …”
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  17. 3337
    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
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  18. 3338
    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
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  19. 3339
    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
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  20. 3340
    Office characteristics and RW adoption.

    Office characteristics and RW adoption. by Yasuhiko Deguchi (3167955)

    Published 2025
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