بدائل البحث:
larger decrease » marked decrease (توسيع البحث)
lower decrease » linear decrease (توسيع البحث), teer decrease (توسيع البحث), we decrease (توسيع البحث)
a decrease » _ decrease (توسيع البحث), _ decreased (توسيع البحث), _ decreases (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
lower decrease » linear decrease (توسيع البحث), teer decrease (توسيع البحث), we decrease (توسيع البحث)
a decrease » _ decrease (توسيع البحث), _ decreased (توسيع البحث), _ decreases (توسيع البحث)
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6741
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6742
Microbial erosion diagram.
منشور في 2025"…The test results show that the composite specimens with different slit angles and different solution environments have significant differences in the loading process. The samples mainly experience tensile failure, with shear failure as a supplement. …"
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6743
Physical parameters.
منشور في 2025"…The test results show that the composite specimens with different slit angles and different solution environments have significant differences in the loading process. The samples mainly experience tensile failure, with shear failure as a supplement. …"
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6744
Horizontal survey line distance diagram.
منشور في 2025"…The test results show that the composite specimens with different slit angles and different solution environments have significant differences in the loading process. The samples mainly experience tensile failure, with shear failure as a supplement. …"
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6745
Primary antibodies used for immunoblot analysis.
منشور في 2025"…IRE1 silencing led to activation of TP53 and CDKN1A/p21 in conjunction with increased DNA damage and chromosome instability, while decreasing heterochromatin as well as DNA and histone H3K9me3 methylation. …"
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6746
Displacement field X<sub>1</sub>OY<sub>1</sub> coordinate.
منشور في 2025"…The test results show that the composite specimens with different slit angles and different solution environments have significant differences in the loading process. The samples mainly experience tensile failure, with shear failure as a supplement. …"
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6747
Fuchioka dataset 251021.
منشور في 2025"…</p><p>Conclusions</p><p>Quantitative 3D-MRI analysis revealed significant cartilage thickness decreases after OWHTO, predominantly in the medial aspect of the PF joint. …"
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6748
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6749
Scheme of the SiTFarm tool–farm to sector level.
منشور في 2024"…However, the variability is significant, with a coefficient of variation 0.74. Only 25% of farms exceeded 17.15 €/h, while 25% did not surpass 4.46 €/h. …"
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6750
S1 File -
منشور في 2024"…However, the variability is significant, with a coefficient of variation 0.74. Only 25% of farms exceeded 17.15 €/h, while 25% did not surpass 4.46 €/h. …"
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6751
GHG emissions in TAHs.
منشور في 2024"…However, the variability is significant, with a coefficient of variation 0.74. Only 25% of farms exceeded 17.15 €/h, while 25% did not surpass 4.46 €/h. …"
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6752
Variation law of UCS.
منشور في 2025"…Notably, the attenuation constant λ follows a monotonically decreasing pattern with increasing loading rate. …"
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6753
Detail of the personalized-enhanced GCN.
منشور في 2025"…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …"
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6754
Enhanced multi-component module.
منشور في 2025"…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …"
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6755
The architecture of the TCBiL.
منشور في 2025"…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …"
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6756
Detail of the encoder.
منشور في 2025"…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …"
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6757
Detail of the Fourier transform.
منشور في 2025"…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …"
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6758
Detail of the decoder.
منشور في 2025"…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …"
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6759
Encoder-decoder architecture.
منشور في 2025"…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …"
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6760
Dataset description.
منشور في 2025"…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …"