Fixed effects and panel quantile regression results. by Wenping Ning (19871091)

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Significant relationships between QOL measures on infusion day and day 7. 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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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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Percentage regional changes in decadal regional hydrology. by Nic Gedney (19762301)

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The top 10 putative metabolites with the largest negative fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

The top 10 putative metabolites with the largest positive fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically signif... by Oswaldo Maillard (20660661)

Sensitivity analyses of seroprevalence with the largest sample size study omitted. by Yu Zhou (89766)

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WT1 and LANA expression correlate with decreased T cell infiltrates. by Ayana E. Morales (17756335)

Proportions of intervals where cytokines change varies between cytokines. by Jordan K. Abbott (8934239)

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Projected decadal changes in seasonality in the hydrological cycle over the wetland regions. by Nic Gedney (19762301)

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Changes in decadal precipitation and JULES inundation between 1990–1999 and 2089–2098. by Nic Gedney (19762301)

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Spatial Markov transfer probability matrix. by Wenping Ning (19871091)

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

“…<div><p>Based on the background of urbanization in China, we used the dynamic spatial panel Durbin model to study the driving mechanism of ozone pollution empirically. …”

Spatial panel model selection. by Zi-Xin Sun (17382887)

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Tests of the spatial panel data model. by Jun Liu (42548)

Results of OLS panel regression and Spatial regression. by Yiniu Cui (17841478)

Spatial Dubin panel model estimation results. by Xiaoyu Wan (644814)

“…It is found that: (1) the scale and vitality of China’s digital technology innovation have increased significantly, and there are obvious spatial differentiation characteristics, and the innovation level of "eastern coastal—central and western interior" is decreasing, forming a cluster distribution pattern in the Yangtze River Delta region, Beijing, Guangdong, and other places, and the degree of agglomeration is decreasing. (2) The overall regional differences in China’s digital technology innovation are large, the differences between the East and the West dominate the interregional differences, and the net differences between regions are the main factors leading to regional differences. (3) There is a significant positive spatial correlation between the scale and vitality of digital technology innovation, which has a significant spatial spillover effect. (4) The results confirm that the level of economic development, digital access, financial scientific and technological support, technology market development level, and R&D intensity have a significant positive impact on the scale and vitality of digital technology innovation; The investment in scientific and technological talents has a significant positive impact on the scale of digital technology innovation, but has no significant impact on the vitality of digital technology innovation.…”

Wetlands over the lowland Amazon basin from the Hess product [19,20]. by Nic Gedney (19762301)

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