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significantly highest » significantly higher (Expand Search), significantly high (Expand Search), significantly less (Expand Search)
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Showing 121 - 140 results of 15,699 for search '(( significantly ((longer decrease) OR (larger decrease)) ) OR ( significantly highest increase ))', query time: 0.62s Refine Results
  1. 121
    Pooled outcomes for this meta-analysis.

    Pooled outcomes for this meta-analysis. by Danni Jiang (1722013)

    Published 2022
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  2. 122
    Pooled results for each outcome.

    Pooled results for each outcome. by Danni Jiang (1722013)

    Published 2022
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  3. 123
    Pooled results for each outcome.

    Pooled results for each outcome. by Danni Jiang (1722013)

    Published 2022
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  4. 124
    Increases in temperature for the two drill systems at different positions using different drilling procedures and feed rates. The data in bold indicate the position where the highest mean temperature increase was registered. The data shown are the mean temperature increase ± SD in degrees centigrade. DP1-standard drilling, DP2-reduced irrigation, DP3-idling, DP4-idling with reduced irrigation, and DP5-no irrigation.

    Increases in temperature for the two drill systems at different positions using different drilling procedures and feed rates. The data in bold indicate the position where the highe... by Marsel Ganeyev (21453399)

    Published 2025
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  5. 125
    Increasing incidence and survival of head and neck cancers in Denmark: a nation-wide study from 1980 to 2014

    Increasing incidence and survival of head and neck cancers in Denmark: a nation-wide study from 1980 to 2014 by Kathrine Kronberg Jakobsen (4453063)

    Published 2022
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  6. 126
    Rank order correlation of VADER words by TF-IDF.

    Rank order correlation of VADER words by TF-IDF. by Krishna Bathina (12883820)

    Published 2022
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  7. 127
    Bootstrapped LIWC negative word ratio (LWNR) around the hit date for each hurricane and location.

    Bootstrapped LIWC negative word ratio (LWNR) around the hit date for each hurricane and location. by Krishna Bathina (12883820)

    Published 2022
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  8. 128
    Top 5 VADER words by TF-IDF before, during, and after Hurricane Dorian for each region.

    Top 5 VADER words by TF-IDF before, during, and after Hurricane Dorian for each region. by Krishna Bathina (12883820)

    Published 2022
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  9. 129
    Bootstrapped VADER sentiment around each hurricane and location.

    Bootstrapped VADER sentiment around each hurricane and location. by Krishna Bathina (12883820)

    Published 2022
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  10. 130
    Top 5 VADER words by normalized TF-IDF scores before, during, and after each hurricane.

    Top 5 VADER words by normalized TF-IDF scores before, during, and after each hurricane. by Krishna Bathina (12883820)

    Published 2022
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  11. 131
    Bootstrapped LIWC positive word ratio (LWPR) around the hit date for each hurricane and location.

    Bootstrapped LIWC positive word ratio (LWPR) around the hit date for each hurricane and location. by Krishna Bathina (12883820)

    Published 2022
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  12. 132
    Exponential fits of VADER sentiment and change in sentiment.

    Exponential fits of VADER sentiment and change in sentiment. by Krishna Bathina (12883820)

    Published 2022
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  13. 133
    An outline of our methodology.

    An outline of our methodology. by Krishna Bathina (12883820)

    Published 2022
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  14. 134
    Exponential fits of VADER sentiment for Hurricanes Irma, Harvey, and Florence.

    Exponential fits of VADER sentiment for Hurricanes Irma, Harvey, and Florence. by Krishna Bathina (12883820)

    Published 2022
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  15. 135
    Daily tweet frequencies for Hurricanes Irma, Harvey, Florence, and Dorian.

    Daily tweet frequencies for Hurricanes Irma, Harvey, Florence, and Dorian. by Krishna Bathina (12883820)

    Published 2022
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  16. 136
    Z-score normalized sentiment of tweets in each region.

    Z-score normalized sentiment of tweets in each region. by Krishna Bathina (12883820)

    Published 2022
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  17. 137
    The trajectories of the hurricanes and the bounding box of the Tweet Samples.

    The trajectories of the hurricanes and the bounding box of the Tweet Samples. by Krishna Bathina (12883820)

    Published 2022
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  18. 138
    S1 Data -

    S1 Data - by Krishna Bathina (12883820)

    Published 2022
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  19. 139
    Hurricane data.

    Hurricane data. by Krishna Bathina (12883820)

    Published 2022
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  20. 140
    No significant differences in perceived publication pressure experienced by respondents with different research funding agencies.

    No significant differences in perceived publication pressure experienced by respondents with different research funding agencies. by Celeste Suart (12908339)

    Published 2022
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