بدائل البحث:
greater decrease » greatest decrease (توسيع البحث), greater increase (توسيع البحث), greater disease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), mean decrease (توسيع البحث), teer decrease (توسيع البحث)
nn decrease » _ decrease (توسيع البحث), mean decrease (توسيع البحث), gy decreased (توسيع البحث)
a decrease » _ decrease (توسيع البحث), _ decreased (توسيع البحث), _ decreases (توسيع البحث)
greater decrease » greatest decrease (توسيع البحث), greater increase (توسيع البحث), greater disease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), mean decrease (توسيع البحث), teer decrease (توسيع البحث)
nn decrease » _ decrease (توسيع البحث), mean decrease (توسيع البحث), gy decreased (توسيع البحث)
a decrease » _ decrease (توسيع البحث), _ decreased (توسيع البحث), _ decreases (توسيع البحث)
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681
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682
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683
Raw data.
منشور في 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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684
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685
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686
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687
Leaves of the <i>atb’’αβγδ</i> plants under brushing-induced mechanical stress conditions.
منشور في 2024الموضوعات: -
688
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689
Geometric manifold comparison visualization
منشور في 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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690
Hyperparameter ranges
منشور في 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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691
Convolutional vs RNN context encoder
منشور في 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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692
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693
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694
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695
-
696
All data points from Fig 2.
منشور في 2025"…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …"
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697
All data points from Fig 5.
منشور في 2025"…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …"
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698
All data points from Fig 8.
منشور في 2025"…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …"
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699
All data points from Fig 3.
منشور في 2025"…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …"
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700
All data points from Fig 1.
منشور في 2025"…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …"