Enhanced multi-component module. by Yuanming Ding (12842858)

“…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. …”

The architecture of the TCBiL. by Yuanming Ding (12842858)

“…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. …”

Detail of the encoder. by Yuanming Ding (12842858)

“…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. …”

Detail of the Fourier transform. by Yuanming Ding (12842858)

“…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. …”

Detail of the decoder. by Yuanming Ding (12842858)

“…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. …”

Encoder-decoder architecture. by Yuanming Ding (12842858)

“…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. …”

Dataset description. by Yuanming Ding (12842858)

“…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. …”

Determination of bladder blood flow in LETO and OLETF rats. by Takafumi Kabuto (14797727)

Study design. by Moazzam Tanveer (20775814)

“…<div><p>Background</p><p>Childhood obesity poses a significant public health challenge, yet effective school-based physical activity (PA) interventions remain scarce, especially in Pakistan. …”

Measurements of the amount of ATP released by bladder distention and VNUT expression in the bladder. by Takafumi Kabuto (14797727)

Prevaelnce of different pathogens by location. by Amete Mihret Teshale (12072758)

“…<div><p>Diarrheal illness remains a major global health challenge, causing millions of deaths annually. …”

Demographic characteristics of study subjects after PSM ^* . by Teng-Li Lin (5559284)

Network pharmacology analysis predicted the targets of NS on atherosclerosis. by Yihua Wang (491766)

Damage characteristics of PU/WG layer. by Hao Yu (157186)

“…<div><p>Rock joints are widespread in nature and have become a major obstacle to the safe development of underground space. …”

NS co-suppresses Ox-LDL-induced apoptosis in RAW264.7 cells. by Yihua Wang (491766)

Study areas of sample collection in Ethiopia, eastern Africa by Amete Mihret Teshale (12072758)

Predicted values from a mixed model of speed of travel during a migratory leg (excluding sub-Saharan movements), with country and season as main effects, including individual bird... by Will Cresswell (567908)

NS affects the PI3K/AKT/mTOR pathway in RAW264.7 cells. by Yihua Wang (491766)

NS enhances autophagy inhibits atherosclerosis in RAW264.7 cells. by Yihua Wang (491766)

NS suppresses inflammation induced by Ox-LDL in RAW264.7 cells. by Yihua Wang (491766)