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Showing 3,221 - 3,240 results of 21,342 for search '(( significant genes decrease ) OR ( significant decrease decrease ))', query time: 0.43s Refine Results
  1. 3221
    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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  2. 3222
    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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  3. 3223
    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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  4. 3224
    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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  5. 3225
    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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  6. 3226
    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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  7. 3227
    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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  8. 3228
    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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  9. 3229
    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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  10. 3230
    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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  11. 3231
    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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  12. 3232
    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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  13. 3233
    Office characteristics and RW adoption.

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

    Published 2025
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  14. 3234
    An infographic outlining the data used for each analysis.

    An infographic outlining the data used for each analysis. by Shelby L. Sturrock (10751675)

    Published 2025
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  15. 3235
    Average difference in mean daily exercise minutes in the week before and after the specified software transition, using different minimum data thresholds.

    Average difference in mean daily exercise minutes in the week before and after the specified software transition, using different minimum data thresholds. by Shelby L. Sturrock (10751675)

    Published 2025
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  16. 3236
    Effect of each software transition and any hardware transition on daily active calories (negative binomial models with a random intercept per participant) among participants with activity data for all 7 days before and all 7 days after transitioning between the indicated software versions, or between two different hardware versions.

    Effect of each software transition and any hardware transition on daily active calories (negative binomial models with a random intercept per participant) among participants with a... by Shelby L. Sturrock (10751675)

    Published 2025
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  17. 3237
    Effect of each software transition and any hardware transition on daily minutes of exercise (negative binomial models with a random intercept per participant) among participants with activity data for all 7 days before and all 7 days after transitioning between the indicated software versions or between two different hardware versions.

    Effect of each software transition and any hardware transition on daily minutes of exercise (negative binomial models with a random intercept per participant) among participants wi... by Shelby L. Sturrock (10751675)

    Published 2025
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  18. 3238
    Average difference in mean daily exercise minutes in the week before and the week after transitioning between the indicated software versions.

    Average difference in mean daily exercise minutes in the week before and the week after transitioning between the indicated software versions. by Shelby L. Sturrock (10751675)

    Published 2025
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  19. 3239
    Newly occurring LTSA-MD cases in workers for over a month.

    Newly occurring LTSA-MD cases in workers for over a month. by Yasuhiko Deguchi (3167955)

    Published 2025
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  20. 3240
    Average difference in mean daily active calories in the week before and after the specified software transition, using different minimum data thresholds.

    Average difference in mean daily active calories in the week before and after the specified software transition, using different minimum data thresholds. by Shelby L. Sturrock (10751675)

    Published 2025
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