Search alternatives:
linear decrease » linear increase (Expand Search)
larger decrease » marked decrease (Expand Search)
w decrease » we decrease (Expand Search), a decrease (Expand Search), _ decreased (Expand Search)
_ decrease » _ decreased (Expand Search), _ decreasing (Expand Search)
a linear » _ linear (Expand Search)
a larger » a large (Expand Search), _ larger (Expand Search), _ large (Expand Search)
linear decrease » linear increase (Expand Search)
larger decrease » marked decrease (Expand Search)
w decrease » we decrease (Expand Search), a decrease (Expand Search), _ decreased (Expand Search)
_ decrease » _ decreased (Expand Search), _ decreasing (Expand Search)
a linear » _ linear (Expand Search)
a larger » a large (Expand Search), _ larger (Expand Search), _ large (Expand Search)
-
1
Table_2_Maternal oral probiotic use is associated with decreased breastmilk inflammatory markers, infant fecal microbiome variation, and altered recognition memory responses in inf...
Published 2024“…Probiotic use has been proposed as a strategy to promote health via modulation of microbiomes. …”
-
2
Table_1_Maternal oral probiotic use is associated with decreased breastmilk inflammatory markers, infant fecal microbiome variation, and altered recognition memory responses in inf...
Published 2024“…Probiotic use has been proposed as a strategy to promote health via modulation of microbiomes. …”
-
3
-
4
-
5
-
6
-
7
-
8
-
9
-
10
-
11
-
12
-
13
A Locally Linear Dynamic Strategy for Manifold Learning.
Published 2025“…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”
-
14
Table 1_NSAID use may decrease serum Klotho levels.docx
Published 2025“…</p>Conclusion<p>Contrary to previous speculations, the use of NSAIDs is associated with a decrease in serum Klotho levels.</p>…”
-
15
-
16
-
17
-
18
-
19
STL Linear Combination Forecast Graph.
Published 2025“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …”
-
20