Impact on different areas of health. by Margherita Molaro (17803989)

Results obtained from different regression models along with their respective AIC values. by Farzana Afroz (20700794)

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Descriptive statistics for the number of under five children death per 100 mothers. by Farzana Afroz (20700794)

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Histogram for the number of under five children death per mother. by Farzana Afroz (20700794)

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Comparison of DNA damage photoproducts CPD and 6-4PP in murine liver after either room light, UV-A, or UV-C light exposure. by Rachael Guenter (15147776)

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DNA damage after UV-A/UV-C light exposure assessed by a comet assay. by Rachael Guenter (15147776)

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Transmission, transmittance, and absorbance of surgical PPE in the range of 360-370nm. by Rachael Guenter (15147776)

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Model of provider exposure to UV light. by Rachael Guenter (15147776)

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Spectral power distributions for UV-A and UV-C light sources used in the experiments. by Rachael Guenter (15147776)

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Western blot comparing markers of DNA repair. by Rachael Guenter (15147776)

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LM test of spatial panel model. by Li-Min Wang (783263)

“…R&D intensity and education level have a significant negative impact on ozone concentration. iv) There is a decreasing trend in the inhibitory effect of educational attainment and R&D intensity on ozone concentration, and an increasing trend in the promotional effect of population urbanization rate, land expansion, and economic development on ozone concentration. …”

Descriptive statistics (2015–2019). by Li-Min Wang (783263)

“…R&D intensity and education level have a significant negative impact on ozone concentration. iv) There is a decreasing trend in the inhibitory effect of educational attainment and R&D intensity on ozone concentration, and an increasing trend in the promotional effect of population urbanization rate, land expansion, and economic development on ozone concentration. …”

Spatial error model under nested matrix. by Li-Min Wang (783263)

“…R&D intensity and education level have a significant negative impact on ozone concentration. iv) There is a decreasing trend in the inhibitory effect of educational attainment and R&D intensity on ozone concentration, and an increasing trend in the promotional effect of population urbanization rate, land expansion, and economic development on ozone concentration. …”

S1 Data - by Li-Min Wang (783263)

“…R&D intensity and education level have a significant negative impact on ozone concentration. iv) There is a decreasing trend in the inhibitory effect of educational attainment and R&D intensity on ozone concentration, and an increasing trend in the promotional effect of population urbanization rate, land expansion, and economic development on ozone concentration. …”

Flow chart of urbanization ozone pollution. by Li-Min Wang (783263)

“…R&D intensity and education level have a significant negative impact on ozone concentration. iv) There is a decreasing trend in the inhibitory effect of educational attainment and R&D intensity on ozone concentration, and an increasing trend in the promotional effect of population urbanization rate, land expansion, and economic development on ozone concentration. …”

Flowchart of analysis. by Fanqiang Meng (4786071)

“…</p><p>Results</p><p>A total of 168,693 primary KA patients were included during the study period. The migration rate decreased from 17.6% in 2013 to 7.6% in 2018 (<i><i>P</i></i> < 0.001). …”

A side-by-side comparison of the linear SST warming trends for the MHI with and without influential data points (as indicated by Cook’s D analysis). by Rebecca J. Ward (9872202)

Different rates vs. peak shear stress curves. by Gejun Tong (18405664)

“…For the heat-insulating shotcrete, firstly, we carried out the concrete variable angle shear test under different loading rates, which concluded that the shear rate and peak shear stress showed a trend of increasing and then decreasing; as the angle increases, the different rates have a greater impact on the peak shear stress of the specimen. …”

Summary of regression results. by Max Jordan Nguemeni Tiako (11442284)

“…The interaction between race and age was significant between Black race and age 60 or greater, with an additional 708.5 deaths per 100,000 people vs White people aged 60 or greater. …”

S1 Raw data - by Max Jordan Nguemeni Tiako (11442284)

“…The interaction between race and age was significant between Black race and age 60 or greater, with an additional 708.5 deaths per 100,000 people vs White people aged 60 or greater. …”