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. …”

Information of QTL interval and lead SNP significantly associated with meat color in fast-growing white-feathered chickens. by Jiahong Sun (6497603)

Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation by Xiaoyu Shen (4715430)

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Cohesion characteristics and statistical significance analysis of different ingredients across IDDSI levels^b'*'. by Muxi Chen (9294270)

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Adhesion characteristics and statistical significance analysis of different ingredients across IDDSI levels^b'*'. by Muxi Chen (9294270)

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Hardness characteristics and statistical significance analysis of different ingredients across IDDSI levels^b'*'. by Muxi Chen (9294270)

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MXene/Bi₂O₃ Nanocomposites as Supercapacitors for Portable Electronic Devices by Nanasaheb M. Shinde (8560572)

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Effect of DM, and/or <i>M. charantia</i> on the (I) number of corpuses lutea; (II) number of neonates, (III) weight of neonates; (IV) length of neonates levels in the control and d... by Amoura M. Abou-El-Naga (21001524)

Effect of DM, and/or <i>M. charantia</i> on the (I) glucose; (II) HOMA IR, (III) QUICKI levels; (IV) GLUT4; (V) AMPK; (VI) insulin; (VII) leptin levels in the control and different... by Amoura M. Abou-El-Naga (21001524)

Effect of DM, and/or <i>M. charantia</i> on the neurotransmitters levels, acetylcholine (I) and dopamine (II). by Amoura M. Abou-El-Naga (21001524)

Effect of DM, and/or <i>M. charantia</i> on the immuno-expressional level of NGF protein in maternal cerebellar tissue of different groups. by Amoura M. Abou-El-Naga (21001524)

“…Figs <b>(E & F):</b> Diabetic mothers have a significant decrease in the expression of NGF protein across all three layers of the cerebellar cortex. …”

ASP protects the AC16 cells from DOX-induced cardiotoxicity via Nrf2 activation. by Xueyang Bai (20550422)

“…<p>(A) Representative images of protein expression detected by Western blot of p-PI3K,p-AKT, AKT, and the Nrf2 downstream signaling pathways in AC16 cells; (B, C) ML385 does not affect PI3K/AKT (n = 3); (D-F) The statistical results show that ML385 significantly represses NRF2 activation, leading to a decrease in its downstream gene expression (n = 3); (G, H) Lipid ROS levels (n = 3); (I, J) Quantitative q-PCR analysis of relative ANP and BNP mRNA expression (n = 3); (K, L) Representative images (Scale bar =  100 μm) and statistical analysis of JC-1 (n = 150); One-way ANOVA (Tukey post-test), means ±  SD. …”

Balance test results. by Le Zhu (1771669)

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Variables. by Le Zhu (1771669)

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Results of the parallel trend test. by Le Zhu (1771669)

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Results of the exclusion of other policies. by Le Zhu (1771669)

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