Experimental scenario design. by Yang Li (7082)

“…And older drivers slowed down and turned earlier at signal-controlled intersections. From a spatial perspective, older drivers experienced a decrease in speed before entering the two intersections, followed by a sustained increase in speed and steering wheel cornerings. …”

Fixed effects of driving behavior stability. by Yang Li (7082)

“…And older drivers slowed down and turned earlier at signal-controlled intersections. From a spatial perspective, older drivers experienced a decrease in speed before entering the two intersections, followed by a sustained increase in speed and steering wheel cornerings. …”

Factors influencing cognitive response. by Yang Li (7082)

“…And older drivers slowed down and turned earlier at signal-controlled intersections. From a spatial perspective, older drivers experienced a decrease in speed before entering the two intersections, followed by a sustained increase in speed and steering wheel cornerings. …”

Speed variation at signal intersections (Time). by Yang Li (7082)

“…And older drivers slowed down and turned earlier at signal-controlled intersections. From a spatial perspective, older drivers experienced a decrease in speed before entering the two intersections, followed by a sustained increase in speed and steering wheel cornerings. …”

Selection of covariance types. by Yang Li (7082)

“…And older drivers slowed down and turned earlier at signal-controlled intersections. From a spatial perspective, older drivers experienced a decrease in speed before entering the two intersections, followed by a sustained increase in speed and steering wheel cornerings. …”

Effects of Alteration in ATF3 expression on neurological function and local brain edema in mice with ICH. by Tao Cui (124471)

“…Compared with the ICH model group, the water content in the basal ganglia of mice with ATF3 overexpression was significantly increased, while that in the ATF3 downregulation group was significantly decreased. …”

Detail of the personalized-enhanced GCN. 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. …”

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. …”

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)

Primers used for RT-qPCR. by Yihua Wang (491766)

“…The results indicated that NS combination promoted autophagy by inhibiting the PI3K/Akt/mTOR pathway. This significantly alleviated inflammation, reduced apoptosis, and decreasing lipid accumulation, thereby improving the pathological progression of atherosclerosis. …”

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)

PeMSD8. by Yuanming Ding (12842858)

The disease burden of AA caused by hypertension in 204 countries and regions. by Guanghui Yu (423945)