Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

“…<p>Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts.…”

Statistically-significant cytokine changes between the pre-infusion and post-infusion blood draws plot of the mean (dot) and confidence interval (whiskers) for the coefficients of... by Jordan K. Abbott (8934239)

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Correlations of cytokines that significantly change between the pre-infusion and post-infusion blood draws pearson’s correlation between cytokine pairs is indicated by color and si... by Jordan K. Abbott (8934239)

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Longer treatment is associated with increased post-rebound setpoint viral level. by Mykola Pinkevych (125551)

Disparities in variables pre- and post-propensity score matching. by Caihong Wen (17904307)

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

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

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

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

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

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

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

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

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

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

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

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

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S1 Data - by Krishna Bathina (12883820)

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Hurricane data. by Krishna Bathina (12883820)

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ARI antibiotic prescribing rate trends in the periods of pre-COVID-19, COVID-19 first wave, and post-COVID-19 first wave. by Elizabeth R. Stevens (5754185)

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