Significantly changed AS events in the muscle and neural-related genes in the <i>sf3b1</i> mutants. by Bei Zhang (428038)

Framework of combined CIMA and attention-GRU model. by Yankun Jiang (5690342)

Blueprint of attention-based GRU model structure. by Yankun Jiang (5690342)

“…Additionally, with its attention mechanism, the CIMA-AttGRU targets the issue of non-linear patterns by allowing dynamic adjustment to temporal dependencies, offering differential learning capabilities crucial for capturing the nuanced fluctuations in futures prices. …”

The correlation value of gene expression related to areas of GM decrease (ASD < TDCs) in Yeo’s [57] and Brainnetome’s [58] resting-state functional networks. by Alessia Camasio (14185864)

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FFCA attention module structure. by Ze Wei (556526)

“…Additionally, the WIPIoU loss function is developed to calculate IoU using auxiliary boundaries and address low-quality data, improving small-target recognition and accelerating convergence. Experimental results demonstrate significant improvements in PCB defect detection, with mAP50 increasing by 5.7%, and reductions of 13.3% and 14.8% in model parameters and computational complexity, respectively. …”

Correlations of cytokines that significantly change between the pre-infusion and post-infusion blood draws pearson’s correlation between cytokine pairs is indicated by color and si... by Jordan K. Abbott (8934239)

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Structure diagram of the SE attention mechanism. by Junyan Wang (4738518)

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Water level changes in the foresight scenarios. by Zihao Duan (17403792)

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Water level changes in the Caspian Sea. by Zihao Duan (17403792)

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Methods used to extract shoreline changes. by Zihao Duan (17403792)

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Increased or reduced ATGL-1 activity does not significantly change <i>N. parisii</i> growth. by Hala Tamim El Jarkass (16625309)

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Growth on stiff substrate results in mild lifespan extension but a decrease in organismal health. by Maria Oorloff (19658113)

Network attention of attractions. by Feng Yuxin (18275639)

“…Research shows that: (1) Overall, the network attention to case-based destinations is relatively low, and there are significant differences in network attention among different attractions. …”

Distribution of network attention. by Feng Yuxin (18275639)

“…Research shows that: (1) Overall, the network attention to case-based destinations is relatively low, and there are significant differences in network attention among different attractions. …”

Self-reported affect change during CFI for participants who attended multiple sessions (N = 22). by Iona Naismith (14581268)

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Prevalence of hyperemic coronary flow decrease. by Eisuke Usui (12111855)

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Prediction of hyperemic coronary flow decrease. by Eisuke Usui (12111855)

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Fig 2 - by Louis Gudmundsson (9028142)

Schematic diagram of feature extraction by attention mechanism. by Shiqi Huang (4640158)

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Structure of Spatial Attention Block. by Guangjie Liu (141451)

“…Furthermore, we devised the Channel And Spatial Attention Block (CSAB) to enhance the target location information during the encoding and decoding stages. …”