Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
greater increase » year increase (Expand Search)
linear decrease » linear increase (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
greater increase » year increase (Expand Search)
linear decrease » linear increase (Expand Search)
-
4201
-
4202
Baseline descriptive characteristics of trial participants with dizziness, by treatment group.
Published 2024Subjects: -
4203
-
4204
Baseline and Post-Treatment Serum Cytokine Levels in Each Investigational Group.
Published 2025Subjects: -
4205
Relative abundance of microbiota in colonic content at the genus level (n = 5).
Published 2025Subjects: -
4206
Baseline and Post-Treatment Serum Levels of NT-proBNP in Each Investigational Group.
Published 2025Subjects: -
4207
Variables obtained from the SF-36 quality of life questionnaire in each experimental group.
Published 2025Subjects: -
4208
-
4209
Potential metabolites in the colonic tissue related with diarrhea induced by FSE.
Published 2025Subjects: -
4210
-
4211
-
4212
Heatmap and pathway analysis of the potential metabolites in colon tissue related with diarrhea.
Published 2025Subjects: -
4213
-
4214
-
4215
-
4216
-
4217
-
4218
-
4219
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. …”
-
4220
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. …”