Search alternatives:
lower decrease » larger decrease (Expand Search), linear decrease (Expand Search), showed decreased (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
lower decrease » larger decrease (Expand Search), linear decrease (Expand Search), showed decreased (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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1001
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1002
Presentation 1_Prehospital tranexamic acid decreases early mortality in trauma patients: a systematic review and meta-analysis.pdf
Published 2025“…</p>Conclusion<p>Prehospital TXA decreases early (24-h) mortality in trauma patients without a significant increase in the risk of VTE and other complications, and further studies are still needed to improve and optimize its management strategy.…”
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1003
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1004
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1005
Raw data.
Published 2025“…However, both groups exhibited a significant decrease in CCI during prolonged standing (time * condition: p = 0.003). …”
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1006
Data.
Published 2025“…However, both groups exhibited a significant decrease in CCI during prolonged standing (time * condition: p = 0.003). …”
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1007
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1008
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1009
Raw data.
Published 2025“…The remaining working conditions did not exhibit a significant difference. However, the observed decreasing trend was consistent with previously documented research. …”
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1010
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1011
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1012
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1013
Leaves of the <i>atb’’αβγδ</i> plants under brushing-induced mechanical stress conditions.
Published 2024Subjects: -
1014
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1015
Geometric manifold comparison visualization
Published 2025“…While many tr-FC approaches have been proposed, most are linear approaches, e.g. computing the linear correlation at a timestep or within a window. In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
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1016
Hyperparameter ranges
Published 2025“…While many tr-FC approaches have been proposed, most are linear approaches, e.g. computing the linear correlation at a timestep or within a window. In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
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1017
Convolutional vs RNN context encoder
Published 2025“…While many tr-FC approaches have been proposed, most are linear approaches, e.g. computing the linear correlation at a timestep or within a window. In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
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1018
AUT00201 (1 µM) can rescue AP width in cuprizone mice.
Published 2025“…In the responsive cells from cuprizone mice (red) a significant increase in PV interneuron firing frequency at lower current steps (gray) was observed (<i>group x current two-way repeated measures: n = 8 cells from 4 mice: p = 0.05287; AUT00201 effect: F(1,60) = 5.050, *p = 0.0457. …”
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1019
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1020