Age-dependent changes in neuroinflammation-related gene expression in males and females. by Juliane F. Tampé (19976538)

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Data sample example. by Zhendong Sun (4723221)

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MMR (maternal deaths per 100,000 live births) and 95% confidence limits by urban and rural areas, PDHS 2007 and PMMS 2019. by Farid Midhet (17403945)

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Comparison of biological and socioeconomic risk factors of maternal mortality, in Pakistan (PDHS 2007 and PMMS 2019) (see note 1). by Farid Midhet (17403945)

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Comparison of the association between maternal mortality in rural areas and distance to a hospital providing CEmONC and distance to public transport, Pakistan 2007 and 2019 (see no... by Farid Midhet (17403945)

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Average Vehicle Arrival Time on Weekdays for a Month. by Zhendong Sun (4723221)

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The PL estimation result. by Zhendong Sun (4723221)

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Cox regression analysis results. by Zhendong Sun (4723221)

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MMR (maternal deaths per 100,000 live births) and 95% confidence limits, PDHS 2007 and PMMS 2019. by Farid Midhet (17403945)

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FACS gating strategy for isolated PBMCs, followed by sorting and analysis of the three monocyte subtypes. by Juliane F. Tampé (19976538)

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Variable attributes. by Zhendong Sun (4723221)

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Supplementary Tables 1–8. by Juliane F. Tampé (19976538)

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SPSS data analysis files. by Farid Midhet (17403945)

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Differentially expressed genes associated with age. by Juliane F. Tampé (19976538)

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Heatmap of the relationship between age and gene expression in the different monocyte subtypes, separated by biological sex. by Juliane F. Tampé (19976538)

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Evolution of health burden and life expectancy under different expenditure scenarios. by Margherita Molaro (17803989)

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Capabilities expansion scenarios considered. <i><i>g</i></i>_GDP and <i><i>g</i></i>_fHE refer to the growth rate of annual GDP (in constant 2015 US$) and growt... by Margherita Molaro (17803989)

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Scaling of overall health burden with yearly expenditure growth. by Margherita Molaro (17803989)

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

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Expression of proteins significantly correlated with stereotypy severity in CD1 Mice (n = 28). by Kendall M. Coden (18516237)

“…Expression of <i><i>Pdgfb</i></i>, <i><i>Riox2</i></i>, <i><i>Parp1</i></i>, <i><i>Snap29</i></i>, <i><i>Map2k6</i></i>, and <i><i>Cxcl9</i></i> increase with severity of stereotypy, whereas expression of <i><i>Vsig2</i></i> decreases with stereotypy severity. …”