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significant change » significant changes (Expand Search), significant challenge (Expand Search)
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Showing 21 - 40 results of 43,040 for search '(( significant change based ) OR ( significant ((event decrease) OR (point decrease)) ))', query time: 0.94s Refine Results
  1. 21
    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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  2. 22
    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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  3. 23
    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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  4. 24
    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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  5. 25
    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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  6. 26
    An outline of our methodology.

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

    Published 2022
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  7. 27
    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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  8. 28
    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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  9. 29
    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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  10. 30
    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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  11. 31
    S1 Data -

    S1 Data - by Krishna Bathina (12883820)

    Published 2022
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  12. 32
    Hurricane data.

    Hurricane data. by Krishna Bathina (12883820)

    Published 2022
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  13. 33
    Summary of post-treatment CAPS score changes from clinical trials with FDA-approved medications.

    Summary of post-treatment CAPS score changes from clinical trials with FDA-approved medications. by Filip Stanicic (17808254)

    Published 2025
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  14. 34
    Post-treatment CAPS score changes from clinical trials with off-label PTSD medications.

    Post-treatment CAPS score changes from clinical trials with off-label PTSD medications. by Filip Stanicic (17808254)

    Published 2025
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  15. 35
    Point cell model behavior.

    Point cell model behavior. by Evan Cudone (5768813)

    Published 2023
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  16. 36
    Changes in the melting points of each formulation of 0.1% FLU ophthalmic suspensions.

    Changes in the melting points of each formulation of 0.1% FLU ophthalmic suspensions. by Tokio Obata (10783047)

    Published 2022
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  17. 37
    Combined Quantitative (Phospho)proteomics and Mass Spectrometry Imaging Reveal Temporal and Spatial Protein Changes in Human Intestinal Ischemia–Reperfusion

    Combined Quantitative (Phospho)proteomics and Mass Spectrometry Imaging Reveal Temporal and Spatial Protein Changes in Human Intestinal Ischemia–Reperfusion by Anna M. Kip (11804493)

    Published 2021
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  18. 38
    Study-related adverse events.

    Study-related adverse events. by Benjamin R. Lewis (22279166)

    Published 2025
    “…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”
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  19. 39
    Predictive value of RVT1 for the decreased RV ejection fraction (RVEF) and poor outcome in pulmonary arterial hypertension (PAH).

    Predictive value of RVT1 for the decreased RV ejection fraction (RVEF) and poor outcome in pulmonary arterial hypertension (PAH). by Ryotaro Asano (11767131)

    Published 2021
    “…Survival rates from events including composite outcomes of death and all hospitalizations, and death and hospitalization due to right heart failure, and each event were significantly reduced in patients with higher RVT1. …”
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  20. 40
    Top significantly changed pathways based on their calculated enrichment factor and significance value.

    Top significantly changed pathways based on their calculated enrichment factor and significance value. by Homica Arya (10954373)

    Published 2021
    “…<p>Top significantly changed pathways based on their calculated enrichment factor and significance value.…”
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