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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
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Showing 901 - 920 results of 21,342 for search '(( significant ((based decrease) OR (use decreased)) ) OR ( significant decrease decrease ))', query time: 0.51s Refine Results
  1. 901
    Immunogenicity assessment groups based on the primary and booster vaccination schemes and timeframe from the second or booster dose.

    Immunogenicity assessment groups based on the primary and booster vaccination schemes and timeframe from the second or booster dose. by Rima Moghnieh (679199)

    Published 2024
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  2. 902
    Proportion of counties that experience, on average, a decrease in salinity levels during El Niño years, divided by geographical areas.

    Proportion of counties that experience, on average, a decrease in salinity levels during El Niño years, divided by geographical areas. by Nicola Limodio (15138316)

    Published 2025
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  3. 903
    Amyloid staining using Thioflavin.

    Amyloid staining using Thioflavin. by Akosua K. Boateng (21672931)

    Published 2025
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  4. 904
    Schematic diagram of loop detection algorithm using image global pointer.

    Schematic diagram of loop detection algorithm using image global pointer. by Hongliang Zou (20707270)

    Published 2025
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  5. 905
    Synthesis preparation of nano-formulated orientin by using solvent evaporation method.

    Synthesis preparation of nano-formulated orientin by using solvent evaporation method. by Yashwanth Elumalai (21743452)

    Published 2025
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  6. 906
    Sleep quality of respondents (n = 259).

    Sleep quality of respondents (n = 259). by Isha Aryal (22582068)

    Published 2025
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  7. 907
    Socio demographic characteristics of respondents (n = 259).

    Socio demographic characteristics of respondents (n = 259). by Isha Aryal (22582068)

    Published 2025
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  8. 908
    Association between mental health status and socio-demographic variables of respondents (n = 259).

    Association between mental health status and socio-demographic variables of respondents (n = 259). by Isha Aryal (22582068)

    Published 2025
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  9. 909
    Correlation of screen time with sleep quality and mental health score.

    Correlation of screen time with sleep quality and mental health score. by Isha Aryal (22582068)

    Published 2025
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  10. 910
    Association between screen time and demographic variables of respondents (n = 259).

    Association between screen time and demographic variables of respondents (n = 259). by Isha Aryal (22582068)

    Published 2025
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  11. 911
    Association of screen time variables with mental health of respondents (n = 259).

    Association of screen time variables with mental health of respondents (n = 259). by Isha Aryal (22582068)

    Published 2025
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  12. 912
    Association of screen time variables with sleep quality of respondents (n = 259).

    Association of screen time variables with sleep quality of respondents (n = 259). by Isha Aryal (22582068)

    Published 2025
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  13. 913
    Frequency and percentage on screen time questionnaire of respondents (n = 259).

    Frequency and percentage on screen time questionnaire of respondents (n = 259). by Isha Aryal (22582068)

    Published 2025
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  14. 914
    Mental health status of respondents (n = 259).

    Mental health status of respondents (n = 259). by Isha Aryal (22582068)

    Published 2025
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  15. 915
    Moderate correlation (R<sup>2</sup> = 0.136 p = .0085) between Medicare prescriptions per 1,000 persons and the percentage of white population among the fifty US states.

    Moderate correlation (R<sup>2</sup> = 0.136 p = .0085) between Medicare prescriptions per 1,000 persons and the percentage of white population among the fifty US states. by Luke R. Cavanah (19022435)

    Published 2025
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  16. 916
    Large state-wide variation (8.6-fold) in number of clozapine prescriptions per thousand Medicare Part D enrollees in 2018 <sup>a</sup> indicates ≥1.50 SD (17.9) from the mean (32.9), which is denoted by the dotted line. <sup>b</sup> indicates ≥1.96 SD from the mean.

    Large state-wide variation (8.6-fold) in number of clozapine prescriptions per thousand Medicare Part D enrollees in 2018 <sup>a</sup> indicates ≥1.50 SD (17.9) from the mean (32.9... by Luke R. Cavanah (19022435)

    Published 2025
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  17. 917
    Strong correlation (R<sup>2</sup> = 0.734 p < .0001) between Medicare prescriptions per 1,000 persons and Medicaid prescriptions per 1,000 persons among the fifty US states in 2019.

    Strong correlation (R<sup>2</sup> = 0.734 p < .0001) between Medicare prescriptions per 1,000 persons and Medicaid prescriptions per 1,000 persons among the fifty US states in 2019... by Luke R. Cavanah (19022435)

    Published 2025
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  18. 918
    Large state-wide variation (11.1-fold) in number of clozapine prescriptions per thousand Medicare Part D enrollees in 2015 <sup>a</sup> indicates ≥1.50 SD (20.2) from the mean (36.4), which is denoted by the dotted line. <sup>b</sup> indicates ≥1.96 SD from the mean.

    Large state-wide variation (11.1-fold) in number of clozapine prescriptions per thousand Medicare Part D enrollees in 2015 <sup>a</sup> indicates ≥1.50 SD (20.2) from the mean (36.... by Luke R. Cavanah (19022435)

    Published 2025
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  19. 919
    Large state-wide variation (8.6-fold) in number of clozapine prescriptions per thousand Medicare Part D enrollees in 2017 <sup>a</sup> indicates ≥1.50 SD (18.0) from the mean (33.1), which is denoted by the dotted line. <sup>b</sup> indicates ≥1.96 SD from the mean.

    Large state-wide variation (8.6-fold) in number of clozapine prescriptions per thousand Medicare Part D enrollees in 2017 <sup>a</sup> indicates ≥1.50 SD (18.0) from the mean (33.1... by Luke R. Cavanah (19022435)

    Published 2025
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  20. 920
    Medicare clozapine data analysis.

    Medicare clozapine data analysis. by Luke R. Cavanah (19022435)

    Published 2025
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