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significant trap » significant gap (Expand Search), significant gram (Expand Search), significant threat (Expand Search)
event decrease » cement decreases (Expand Search), levels decreased (Expand Search)
point decrease » point increase (Expand Search)
trap based » graph based (Expand Search), trait based (Expand Search), tract based (Expand Search)
Showing 1 - 20 results of 10,484 for search '(( significant trap based ) OR ( significant ((event decrease) OR (point decrease)) ))', query time: 1.24s Refine Results
  1. 1
    Thick valves are associated with decreased valve function.

    Thick valves are associated with decreased valve function. by Renee Wei-Yan Chow (11949860)

    Published 2022
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  2. 2
    Pro- and anti-inflammatory cytokines are significantly decreased at acute time points following IR.

    Pro- and anti-inflammatory cytokines are significantly decreased at acute time points following IR. by Jordan A. Gunning (18143970)

    Published 2024
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  3. 3
    Adverse health events.

    Adverse health events. by Harika Dasari (18145735)

    Published 2024
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  4. 4
    Grand-average event-related potential (ERP) waveforms and topographic maps in monetary reward (at point Cz).

    Grand-average event-related potential (ERP) waveforms and topographic maps in monetary reward (at point Cz). by Mengyue Zhang (6688466)

    Published 2024
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  5. 5
    Grand-average event-related potential (ERP) waveforms and topographic maps in food reward (at point Cz).

    Grand-average event-related potential (ERP) waveforms and topographic maps in food reward (at point Cz). by Mengyue Zhang (6688466)

    Published 2024
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  6. 6
    Grand-average event-related potential (ERP) waveforms and topographic maps in game reward (at point Cz).

    Grand-average event-related potential (ERP) waveforms and topographic maps in game reward (at point Cz). by Mengyue Zhang (6688466)

    Published 2024
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  7. 7
    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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  8. 8
    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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  9. 9
    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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  10. 10
    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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  11. 11
    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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  12. 12
    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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  13. 13
    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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  14. 14
    An outline of our methodology.

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

    Published 2022
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  15. 15
    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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  16. 16
    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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  17. 17
    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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  18. 18
    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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  19. 19
    S1 Data -

    S1 Data - by Krishna Bathina (12883820)

    Published 2022
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  20. 20
    Hurricane data.

    Hurricane data. by Krishna Bathina (12883820)

    Published 2022
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