S1 File - by Kimesh Loganathan Naidoo (19697486)

“…Of the 45 015 admissions analysed, 1237(2·75%) demised with significant decreases in admissions during all the lockdown levels, with the most significant mean monthly decrease of 450(95%, CI = 657·3, -244·3) p<0·001 in level 5 (the most severe) lockdown. …”

Effect of O-ag modifying glycosyltransferases on complement activation and <i>Salmonella</i> interactions with human serum. by Fermin E. Guerra (6084545)

“…</i> Paratyphi A do not impact complement deposition or (E) serum resistance. …”

Distribution of study areas. by Jie Zhang (64655)

“…(main findings) The results show the following: (1) the primary term of government innovation preferences has a positive effect on the ecological resilience of resource-based cities, and the secondary term has a negative effect, with a decreasing marginal effect. Additionally, the educational level has a mediating effect on the mechanism of the impact of government innovation preferences on the ecological resilience of resource-based cities. (2) The role of government innovation preferences in the ecological resilience of resource-based cities is heterogeneous: The impact of government innovation preferences on the ecological resilience of resource-based cities in the western region is stronger than that in the central region, and the impact of government innovation preferences on the ecological resilience of medium-sized resource-based cities is stronger than that of large resource-based cities. (3) The role of environmental decentralization produces a single threshold effect with a threshold value of 2.3993 in the impact of the mechanism of government innovation preferences on the ecological resilience of resource-based cities. …”

Descriptive statistics of variables. by Jie Zhang (64655)

“…(main findings) The results show the following: (1) the primary term of government innovation preferences has a positive effect on the ecological resilience of resource-based cities, and the secondary term has a negative effect, with a decreasing marginal effect. Additionally, the educational level has a mediating effect on the mechanism of the impact of government innovation preferences on the ecological resilience of resource-based cities. (2) The role of government innovation preferences in the ecological resilience of resource-based cities is heterogeneous: The impact of government innovation preferences on the ecological resilience of resource-based cities in the western region is stronger than that in the central region, and the impact of government innovation preferences on the ecological resilience of medium-sized resource-based cities is stronger than that of large resource-based cities. (3) The role of environmental decentralization produces a single threshold effect with a threshold value of 2.3993 in the impact of the mechanism of government innovation preferences on the ecological resilience of resource-based cities. …”

Code. by Jie Zhang (64655)

“…(main findings) The results show the following: (1) the primary term of government innovation preferences has a positive effect on the ecological resilience of resource-based cities, and the secondary term has a negative effect, with a decreasing marginal effect. Additionally, the educational level has a mediating effect on the mechanism of the impact of government innovation preferences on the ecological resilience of resource-based cities. (2) The role of government innovation preferences in the ecological resilience of resource-based cities is heterogeneous: The impact of government innovation preferences on the ecological resilience of resource-based cities in the western region is stronger than that in the central region, and the impact of government innovation preferences on the ecological resilience of medium-sized resource-based cities is stronger than that of large resource-based cities. (3) The role of environmental decentralization produces a single threshold effect with a threshold value of 2.3993 in the impact of the mechanism of government innovation preferences on the ecological resilience of resource-based cities. …”

Schematic of the conclusions. by Jie Zhang (64655)

“…(main findings) The results show the following: (1) the primary term of government innovation preferences has a positive effect on the ecological resilience of resource-based cities, and the secondary term has a negative effect, with a decreasing marginal effect. Additionally, the educational level has a mediating effect on the mechanism of the impact of government innovation preferences on the ecological resilience of resource-based cities. (2) The role of government innovation preferences in the ecological resilience of resource-based cities is heterogeneous: The impact of government innovation preferences on the ecological resilience of resource-based cities in the western region is stronger than that in the central region, and the impact of government innovation preferences on the ecological resilience of medium-sized resource-based cities is stronger than that of large resource-based cities. (3) The role of environmental decentralization produces a single threshold effect with a threshold value of 2.3993 in the impact of the mechanism of government innovation preferences on the ecological resilience of resource-based cities. …”

Robustness test. by Jie Zhang (64655)

“…(main findings) The results show the following: (1) the primary term of government innovation preferences has a positive effect on the ecological resilience of resource-based cities, and the secondary term has a negative effect, with a decreasing marginal effect. Additionally, the educational level has a mediating effect on the mechanism of the impact of government innovation preferences on the ecological resilience of resource-based cities. (2) The role of government innovation preferences in the ecological resilience of resource-based cities is heterogeneous: The impact of government innovation preferences on the ecological resilience of resource-based cities in the western region is stronger than that in the central region, and the impact of government innovation preferences on the ecological resilience of medium-sized resource-based cities is stronger than that of large resource-based cities. (3) The role of environmental decentralization produces a single threshold effect with a threshold value of 2.3993 in the impact of the mechanism of government innovation preferences on the ecological resilience of resource-based cities. …”

Data. by Jie Zhang (64655)

“…(main findings) The results show the following: (1) the primary term of government innovation preferences has a positive effect on the ecological resilience of resource-based cities, and the secondary term has a negative effect, with a decreasing marginal effect. Additionally, the educational level has a mediating effect on the mechanism of the impact of government innovation preferences on the ecological resilience of resource-based cities. (2) The role of government innovation preferences in the ecological resilience of resource-based cities is heterogeneous: The impact of government innovation preferences on the ecological resilience of resource-based cities in the western region is stronger than that in the central region, and the impact of government innovation preferences on the ecological resilience of medium-sized resource-based cities is stronger than that of large resource-based cities. (3) The role of environmental decentralization produces a single threshold effect with a threshold value of 2.3993 in the impact of the mechanism of government innovation preferences on the ecological resilience of resource-based cities. …”

Targeted removal robustness analysis. by Fei Wang (19534)

“…Distance increased the relative abundance of Actinobacteria, Acidobacteria, and Chloroflexi, but significantly decreased the relative abundance of Proteobacteria and Firmicutes. …”

The network parameter at different distances. by Fei Wang (19534)

“…Distance increased the relative abundance of Actinobacteria, Acidobacteria, and Chloroflexi, but significantly decreased the relative abundance of Proteobacteria and Firmicutes. …”

Descriptive statistics and variable definitions. by Tiantian Dong (6247917)

“…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”

The results of endogenous analysis. by Tiantian Dong (6247917)

“…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”

Correlation test. by Tiantian Dong (6247917)

“…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”

S1 Dataset - by Tiantian Dong (6247917)

“…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”

The mediation of confidence. by Tiantian Dong (6247917)

“…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”

Robustness test. by Tiantian Dong (6247917)

“…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”

The effects of consumption inequality on SWB. by Tiantian Dong (6247917)

“…The findings indicate that consumption inequality has a significant negative impact on SWB. Specifically, for every unit increase in consumption inequality, the probability of individuals rating their SWB as “Happy” and “Very happy” decreases by 0.37% and 5.45% respectively. …”

Random forest analysis. by Emir Matpan (21655811)

Decision-maker informed optimal policy design. by Hongru Du (4640212)

The effects of ERK mutants on PRV replication. by Lucai Wang (22050158)