Multiwavelength Phototactic Micromotor with Controllable Swarming Motion for “Chemistry-on-the-Fly” by Yang Hu (315392)

“…Namely, under light irradiation, the photogenerated heat on Fe₃O₄ NPs decreases the density of the irradiated spot, leading to the swarming motion of the composite particles propelled by a “hydrodynamic drag” toward the light spot. …”

DENN/MADD is a target gene for miR-181b. by Samira Ghorbani (3843895)

Age-standardized hepatocellular carcinoma incidence rates among patients without viral hepatitis, by status for diabetes and/or obesity, alcohol-related liver disorders and rare ge... by Joy Jiang (5483006)

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. …”

Table_1_Cardiopulmonary coupling-calculated sleep stability and nocturnal heart rate kinetics as a potential indicator for cardiovascular health: a relationship with blood pressure... by Hugi Hilmisson (19281313)

“…Patients who did not have a decrease of ≥10% in their BP from wake to sleep were defined as NdBP and NdHR if their heart rate during stable-NREM sleep was higher than during unstable-NREM sleep.…”

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. …”