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Showing 481 - 500 results of 48,847 for search '(( significant decrease decrease ) OR ( significant ((use increased) OR (greater decrease)) ))', query time: 0.82s Refine Results
  1. 481
    The spike-in of synthetic hsa-lest-7a-5p miRNA decreases the Ct Values of extracted small RNA samples.

    The spike-in of synthetic hsa-lest-7a-5p miRNA decreases the Ct Values of extracted small RNA samples. by Marc Van Der Hofstadt (1423027)

    Published 2024
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  2. 482
    Primers used for gRNA synthesis, amplicon sequencing, pathogen biomass quantification, qRT-PCR.

    Primers used for gRNA synthesis, amplicon sequencing, pathogen biomass quantification, qRT-PCR. by Bikram Poudel (15989201)

    Published 2025
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  3. 483
    Alterations of Ceramides, Acylcarnitines, GlyceroLPLs, and Amines in NSCLC Tissues

    Alterations of Ceramides, Acylcarnitines, GlyceroLPLs, and Amines in NSCLC Tissues by Jie Zhang (64655)

    Published 2024
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  4. 484
    Original raw immunoblot images used for figures.

    Original raw immunoblot images used for figures. by Iratxe Zuazo-Gaztelu (21071939)

    Published 2025
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  5. 485
    Succinate and Sucnr1 levels were significantly increased.

    Succinate and Sucnr1 levels were significantly increased. by Jiaqi Wang (369548)

    Published 2025
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  6. 486
    The three schizophrenia patient clusters visualized using functional connectivity matrices. To create the visualizations, we take all the windows belonging to a cluster and average their wFNC matrix.

    The three schizophrenia patient clusters visualized using functional connectivity matrices. To create the visualizations, we take all the windows belonging to a cluster and average... by Eloy Geenjaar (21533195)

    Published 2025
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  7. 487
    Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest.

    Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest. by Helal El-Zaatari (20442243)

    Published 2025
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  8. 488
    Dry mass of shoots (g) and roots (g) depending on the combinations of fertilization, preparation application and forecrop used under drought stress.

    Dry mass of shoots (g) and roots (g) depending on the combinations of fertilization, preparation application and forecrop used under drought stress. by Dominika Radzikowska-Kujawska (14439076)

    Published 2025
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  9. 489
    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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  10. 490
    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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  11. 491
    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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  12. 492
    Factors associated with attitude regarding osteoporosis among the study participants.

    Factors associated with attitude regarding osteoporosis among the study participants. by Surakshya Khanal (19949745)

    Published 2024
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  13. 493
    Correlation between knowledge, attitude, and practice regarding osteoporosis among the study participants.

    Correlation between knowledge, attitude, and practice regarding osteoporosis among the study participants. by Surakshya Khanal (19949745)

    Published 2024
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  14. 494
    Osteoporosis screening among study participants.

    Osteoporosis screening among study participants. by Surakshya Khanal (19949745)

    Published 2024
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  15. 495
    S1 Data -

    S1 Data - by Surakshya Khanal (19949745)

    Published 2024
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  16. 496
    Practices towards the prevention of osteoporosis.

    Practices towards the prevention of osteoporosis. by Surakshya Khanal (19949745)

    Published 2024
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  17. 497
    Source of healthcare information.

    Source of healthcare information. by Surakshya Khanal (19949745)

    Published 2024
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  18. 498
    Individual characteristics of the participants.

    Individual characteristics of the participants. by Surakshya Khanal (19949745)

    Published 2024
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  19. 499
    Factors associated with practice regarding osteoporosis among the study participants.

    Factors associated with practice regarding osteoporosis among the study participants. by Surakshya Khanal (19949745)

    Published 2024
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  20. 500
    Factors associated with knowledge regarding osteoporosis among the study participants.

    Factors associated with knowledge regarding osteoporosis among the study participants. by Surakshya Khanal (19949745)

    Published 2024
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