(A) FC and VIP bubble chart of Model.vs.WKY comparison group; (B) Hierarchical clustering results of differential metabolites in Model.vs.WKY comparison group (only the top 50 VIP... by Xiao Zhang (152326)

Subjects:

(A) Escape latency; (B) Average swimming speed; (C) The number of platform crossings; (D) The time spent searching for the target quadrant; (E) The total distance traveled by the t... by Xiao Zhang (152326)

Subjects:

Unsupervised clustering of TCGA-KIRC subjects based on glucocorticoid signaling-related genes. by Yu Zhang (12946)

Effects of cell culture patterns on injury and inflammation induced by the S1 protein. by Yanru Liu (1662463)

Effects of S1 protein and exposure duration on co-cultures of HPAEpics and AMs. by Yanru Liu (1662463)

Upwelling index series. by Antonio Bode (1473376)

Distribution of study areas. by Jie Zhang (64655)

“…(sample information and empirical methods) This paper establishes a mediating effect model and a threshold effect model and empirically analyzes 2009–2020 panel data covering 113 resource-based cities in China as an example. (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. …”

Descriptive statistics of variables. by Jie Zhang (64655)

“…(sample information and empirical methods) This paper establishes a mediating effect model and a threshold effect model and empirically analyzes 2009–2020 panel data covering 113 resource-based cities in China as an example. (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. …”

Code. by Jie Zhang (64655)

“…(sample information and empirical methods) This paper establishes a mediating effect model and a threshold effect model and empirically analyzes 2009–2020 panel data covering 113 resource-based cities in China as an example. (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. …”

Schematic of the conclusions. by Jie Zhang (64655)

“…(sample information and empirical methods) This paper establishes a mediating effect model and a threshold effect model and empirically analyzes 2009–2020 panel data covering 113 resource-based cities in China as an example. (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. …”

Robustness test. by Jie Zhang (64655)

“…(sample information and empirical methods) This paper establishes a mediating effect model and a threshold effect model and empirically analyzes 2009–2020 panel data covering 113 resource-based cities in China as an example. (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. …”

Data. by Jie Zhang (64655)

“…(sample information and empirical methods) This paper establishes a mediating effect model and a threshold effect model and empirically analyzes 2009–2020 panel data covering 113 resource-based cities in China as an example. (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. …”

Five main steps of MATSim. by Jingfa Ma (20396406)

Data Sheet 1_Defective proviruses significantly impact viral transcription and immune activation in men and women with HIV-1 subtype C in rural South Africa.pdf by Ninée V. E. J. Buchholtz (20326332)

“…During successful ART, a significant decrease of both the intact and defective proviral reservoir was observed (p<0.0001). …”

Scatter plots of the linear regression for the relationship between the duration of the vegetative phase and the average mass of single inflorescences. by Torsten Schober (20485754)

Synopsis of the main models and of submodels. by Magnus Pirovino (14845999)

“…In Model 3.1 hyperparasites lose their catalytic activity instantly and completely, while in Model 3.0.1 (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012162#pcbi.1012162.s007" target="_blank">S1 Supporting</a> Information) they initially retain a small but significant catalysis. Both models merge in Model 3.2 and Model 3.0.2 (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012162#pcbi.1012162.s007" target="_blank">S1 Supporting</a> Information), which both provide definitive parasite taming by decreasing <i>K</i>_<i>M</i> one order of magnitude.…”

The main notations used in this paper. by Bin Zhao (276445)

Inhibition of foam cell formation. by Bruno Musetti (9527085)

Effect of the cannabis extracts on the accumulation of scavenger receptors. by Bruno Musetti (9527085)

R script used for modelling analyses. by Roland Proud (11764892)