The overall framework of CARAFE. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

KPD-YOLOv7-GD network structure diagram. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Comparison of different pruning rates. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Comparison of experimental results at ablation. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Result of comparison of different lightweight. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

DyHead Structure. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

The parameters of the training phase. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Structure of GSConv network. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Improved model distillation structure. by Zhongjian Xie (4633099)

“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. …”

Uptake of the intervention (N = 49). by Stanley Carries (21172287)

“…There was a 1.32 unit (<i>p</i> = 0.085) decrease in depressive symptoms and a reduction in caregiver burden (β = -1.28, <i>p</i> = 0.020) in the intervention arm. …”

Baseline characteristics of sample by trial arm. by Stanley Carries (21172287)

“…There was a 1.32 unit (<i>p</i> = 0.085) decrease in depressive symptoms and a reduction in caregiver burden (β = -1.28, <i>p</i> = 0.020) in the intervention arm. …”

CweL trial design. by Stanley Carries (21172287)

“…There was a 1.32 unit (<i>p</i> = 0.085) decrease in depressive symptoms and a reduction in caregiver burden (β = -1.28, <i>p</i> = 0.020) in the intervention arm. …”

Participant Flow. by Stanley Carries (21172287)

“…There was a 1.32 unit (<i>p</i> = 0.085) decrease in depressive symptoms and a reduction in caregiver burden (β = -1.28, <i>p</i> = 0.020) in the intervention arm. …”

Economic cost composition by arm and outcomes. by Stanley Carries (21172287)

“…There was a 1.32 unit (<i>p</i> = 0.085) decrease in depressive symptoms and a reduction in caregiver burden (β = -1.28, <i>p</i> = 0.020) in the intervention arm. …”

Permethrin-resistant males, but not blood fed females, bear fitness costs. by Kelsey L. Adams (12859609)

“…Mortality was recorded starting after 7 day old females were given a blood meal (Log-rank test, <i>p</i>>0.05). (D) RES females have decreased longevity compared to SUS females when fed on solely sugar (Log-rank test, <i>p</i> = 0.0016). …”

Effects of Aβ oligomers on neuronal m-HKI and ATP levels. by Leonardo M. Saraiva (358796)

“…Panel C: Aβ oligomers decrease ATP levels in mature cortical neurons. …”

Luminal tumors have a deregulated sphingolipid and ganglioside profile and high RICTOR expression. by Mohammad Nafees Ansari (22232505)

“…(<b>D</b>–<b>H</b>) Absolute quantification (mean ± SEM, <i>n</i> = 5) of GM3 (D), GD3 (E), GD2 (F), GM2 (G), and GM1 (H) gangliosides in luminal tumor tissues and adjacent normal tissues shows an increase in GM3 and GD3 gangliosides and a decrease in GM1 gangliosides in luminal tumor tissues. …”

Fig 6 - by Guillaume Marchessaux (14287544)