Search alternatives:
significant size » significant side (Expand Search), significant shape (Expand Search), significant sex (Expand Search)
green decrease » greater decrease (Expand Search), mean decrease (Expand Search), teer decrease (Expand Search)
size decrease » sizes decrease (Expand Search), size increase (Expand Search), size increased (Expand Search)
significant size » significant side (Expand Search), significant shape (Expand Search), significant sex (Expand Search)
green decrease » greater decrease (Expand Search), mean decrease (Expand Search), teer decrease (Expand Search)
size decrease » sizes decrease (Expand Search), size increase (Expand Search), size increased (Expand Search)
-
1
-
2
-
3
-
4
Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients....
Published 2025“…<p>Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. …”
-
5
-
6
Baseline descriptive characteristics of trial participants with dizziness, by treatment group.
Published 2024Subjects: -
7
Voxel-based whole-brain analysis shows regional and dose-dependent effects of netoglitazone in decreasing plaque mean size.
Published 2025“…However, there is only a minimal effect on decreasing plaque size. (C) Short-term-treatment with a high dose of netoglitazone reveals a significant reduction in plaque size, especially observed in the hippocampus, striatum, thalamus, hypothalamus, midbrain, and hindbrain. …”
-
8
-
9
-
10
-
11
-
12
Sample size and duration of the pilot study.
Published 2025“…TB treatment adherence rates among TB patients using VOT was significantly better (<i>p</i><0.01) than those using DOTS.…”
-
13
-
14
-
15
-
16
-
17
-
18
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. …”
-
19
-
20