Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

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Nightlight densities in the lowest, around the median and the highest ranked cities in the sample and the distribution of firms in each city. by Saul Estrin (8629173)

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Innovation, nightlights and a continuous measure of city size. by Saul Estrin (8629173)

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Sample characteristics: Countries, cities and city innovation. by Saul Estrin (8629173)

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Innovation and night light intensity for cities in developing countries. by Saul Estrin (8629173)

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Innovation and night light in large and small cities. by Saul Estrin (8629173)

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Summary statistics of key variables. by Saul Estrin (8629173)

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Distribution of firm sizes in our sample. by Saul Estrin (8629173)

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Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

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Trust levels before and after the COVID-19 pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

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Influenza vaccine compliance, Pre- vs. Peri-COVID-19. by Tyler B. Nofzinger (21560244)

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Influenza vaccination rates during pre-, peri-, and post-COVID-19 periods. by Tyler B. Nofzinger (21560244)

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Influenza vaccine compliance, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

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Sampling point (Source: by Yonggang Huang (223155)

TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5^th and 95^th percentile change points are determined from 500 bootstrap replicate runs.... by Brent J. Bellinger (21156150)

“…<p>TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5^th and 95^th percentile change points are determined from 500 bootstrap replicate runs. …”

Content analysis of groups with decreased confidence. by Yasutaka Yanagita (11105508)

Study variables. by Amit Timilsina (15203538)

“…We employed a logit model on the geo-linked NDHS datasets to compute the marginal effect of forest cover on ARI, diarrhoea, and fever.</p><p>Results</p><p>From 2011 to 2016, the prevalence of fever increased from 18% to 20%, while the prevalence of diarrhoea decreased from 14% to 7%, and ARI prevalence decreased from 5% to 3%. …”

Descriptive statistics. by Amit Timilsina (15203538)

“…We employed a logit model on the geo-linked NDHS datasets to compute the marginal effect of forest cover on ARI, diarrhoea, and fever.</p><p>Results</p><p>From 2011 to 2016, the prevalence of fever increased from 18% to 20%, while the prevalence of diarrhoea decreased from 14% to 7%, and ARI prevalence decreased from 5% to 3%. …”

PAP I point mutations lead to a decrease in pYV PCN, plasmid stability, and T3SS activity. by Katherine Schubert (5452712)