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significant reductions » significant reduction (Expand Search), significant predictors (Expand Search), significant variations (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
reductions decrease » reduction decreased (Expand Search)
significant reductions » significant reduction (Expand Search), significant predictors (Expand Search), significant variations (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
reductions decrease » reduction decreased (Expand Search)
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1181
Descriptive Statistics by Timepoints.
Published 2025“…Results demonstrated significant improvements across all conditions in cognitive performance (Trail Making Test RTACC, p.fdr<.001; Architex Total Speed, p.fdr<.001) and anxiety reduction (STAI, p.fdr<.001). …”
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1182
Description of the variables and data sources.
Published 2025“…The findings of this study have significant implications for a better understanding of Cambodia’s development process toward global trade integration over the past two decades. …”
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1183
Descriptive statistics of the variables.
Published 2025“…The findings of this study have significant implications for a better understanding of Cambodia’s development process toward global trade integration over the past two decades. …”
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1184
Eq 13.
Published 2025“…The findings of this study have significant implications for a better understanding of Cambodia’s development process toward global trade integration over the past two decades. …”
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1185
Repetitive stress induces a reduction in sound-evoked activity that develops as the stressor becomes chronic.
Published 2025“…On the initial day of stress, there was no significant reduction in activity, but as the stressor became chronic, the reduction increased (mean ± SE, 1-way ANOVA, condition S1 F = 1.9, <i>p</i> = 0.16, S5 F = 27.5, <i>p</i> = 1.7 × 10<sup>−07</sup>, nested ANOVA (mouse nested within session) condition S1 F = 2.8, <i>p</i> = 0.09, S5 F = 32.7, <i>p</i> = 1.3 × 10<sup>−08</sup>). …”
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1186
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1187
IDA flowchart.
Published 2025“…The optimization of anisotropic nodes significantly enhances the seismic performance of shear walls. …”
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1188
Benchmark regression results.
Published 2024“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
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1189
Ablation test results of QIMPN-PCA-DC model.
Published 2025“…The optimization of anisotropic nodes significantly enhances the seismic performance of shear walls. …”
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1190
Heterogeneity test.
Published 2024“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
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1191
QIMPN framework diagram.
Published 2025“…The optimization of anisotropic nodes significantly enhances the seismic performance of shear walls. …”
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1192
S1 File -
Published 2024“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
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1193
Multiple indicator test results.
Published 2025“…The optimization of anisotropic nodes significantly enhances the seismic performance of shear walls. …”
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1194
I/L type node quality entity type.
Published 2025“…The optimization of anisotropic nodes significantly enhances the seismic performance of shear walls. …”
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1195
The robustness test.
Published 2024“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
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1196
Mechanistic testing.
Published 2024“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
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1197
Testing function diagram of QIMPN-PCA-DC.
Published 2025“…The optimization of anisotropic nodes significantly enhances the seismic performance of shear walls. …”
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1198
PCA-DC cycle improvement process.
Published 2025“…The optimization of anisotropic nodes significantly enhances the seismic performance of shear walls. …”
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1199
Descriptive statistics of variables.
Published 2024“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
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1200
Endogenous treatment.
Published 2024“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”