Search alternatives:
largest decrease » marked decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
marker decrease » marked decrease (Expand Search), marked increase (Expand Search), markedly decreased (Expand Search)
a marker » _ marker (Expand Search), _ markers (Expand Search)
train » brain (Expand Search), trait (Expand Search), grain (Expand Search)
largest decrease » marked decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
marker decrease » marked decrease (Expand Search), marked increase (Expand Search), markedly decreased (Expand Search)
a marker » _ marker (Expand Search), _ markers (Expand Search)
train » brain (Expand Search), trait (Expand Search), grain (Expand Search)
-
1
-
2
-
3
-
4
-
5
Relationship between the Gender Representation Disparity Index (GRDI) and average explicit sex markers in film criticism, illustrating a decrease in markers as the GRDI moves toward a female-dominated cast.
Published 2025“…<p>Relationship between the Gender Representation Disparity Index (GRDI) and average explicit sex markers in film criticism, illustrating a decrease in markers as the GRDI moves toward a female-dominated cast.…”
-
6
-
7
-
8
-
9
-
10
-
11
Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training.
Published 2025Subjects: -
12
Consolidation of training-induced changes in unipedal stance: 95% Area, Y Sway Amplitude and LFS.
Published 2025Subjects: -
13
-
14
-
15
-
16
-
17
-
18
-
19
Image 7_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
-
20
Image 6_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”