Cues to the action question. by Mohammad Delwer Hossain Hawlader (11558838)

Subjects: “…considered statistically significant…”

Characteristics of the respondents (n = 2,151). by Mohammad Delwer Hossain Hawlader (11558838)

Subjects: “…considered statistically significant…”

Determinants of HPV vaccine acceptance. by Mohammad Delwer Hossain Hawlader (11558838)

Subjects: “…considered statistically significant…”

SI Figure 1- uncropped western blots by Renata Goncalves (15806162)

Subjects:

Responses to speech onset and target nouns in relation to cognitive decline and context. by Elena Bolt (20396190)

Subjects:

The basic characteristics of the included studies. by Junyin Pan (20700411)

Subjects:

Common definitions and criteria for metabolic syndrome. by Junyin Pan (20700411)

Subjects:

Assessment of study bias in the included research. by Junyin Pan (20700411)

Subjects:

Summary of subgroup analysis results. by Junyin Pan (20700411)

Subjects:

Original study data. by Junyin Pan (20700411)

Subjects:

Results of the effect of dietary anthocyanins on health outcomes, including effect size and heterogeneity analysis. by Junyin Pan (20700411)

Subjects:

Forest plot. by Junyin Pan (20700411)

Subjects:

Risk of bias assessment for eligible randomized controlled trials. by Junyin Pan (20700411)

Subjects:

S2 File - by Junyin Pan (20700411)

Subjects:

Funnel plot. by Junyin Pan (20700411)

Subjects:

Summary of studies identified in the literature search, including studies excluded from the analysis and reasons for exclusion. by Junyin Pan (20700411)

Subjects:

The flow chart of study selection process. by Junyin Pan (20700411)

Subjects:

Data extracted from included studies for the systematic review and meta-analysis. by Junyin Pan (20700411)

Subjects:

Specifications and outcomes of clinical trial studies included in the meta-analysis. by Junyin Pan (20700411)

Subjects:

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. …”