Charge Delocalization for Electrically Detachable Poly(ionic liquids) Ionoadhesives with Ultrahigh Mechanical Robustness by Shijie Sun (9385097)

“…In addition, charge delocalization sharply decreases the escaping energy of mobile ions and thus significantly facilitates ion hopping. …”

Charge Delocalization for Electrically Detachable Poly(ionic liquids) Ionoadhesives with Ultrahigh Mechanical Robustness by Shijie Sun (9385097)

“…In addition, charge delocalization sharply decreases the escaping energy of mobile ions and thus significantly facilitates ion hopping. …”

Demonstration of Acoustic Shadow Formation During Sound Beam Propagation. by Fu Zheng (1559512)

Descriptive statistics of the sample. by Alex Bawuah (21702688)

“…The lack of birthweight data is a significant challenge in monitoring the global prevalence of extreme birthweight, either low or high, and newborn health. …”

Sample size characteristics. by Alex Bawuah (21702688)

“…The lack of birthweight data is a significant challenge in monitoring the global prevalence of extreme birthweight, either low or high, and newborn health. …”

Data used for the Study. by Alex Bawuah (21702688)

“…The lack of birthweight data is a significant challenge in monitoring the global prevalence of extreme birthweight, either low or high, and newborn health. …”

Raw data set for figures in this study. by Lijun Wang (176511)

“…Recent discoveries have determined acetylation as a significant modification for CPS, although its impact on HMV and virulence was previously unknown. …”

Relationship of smoking cessation and NAFLD. by Hyun Joe (16612221)

“…Recent studies have demonstrated that cigarette smoking is a significant risk factor for the development of NAFLD. …”

Relationship of smoking and NAFLD. by Hyun Joe (16612221)

“…Recent studies have demonstrated that cigarette smoking is a significant risk factor for the development of NAFLD. …”

Radiologic results of patients. by Han-Ting Shih (20880477)

“…</p><p>Conclusions</p><p>MUKA significantly corrects the majority of ankle alignment towards a more neutral position. …”

Anonymized data used for analysis. by Han-Ting Shih (20880477)

“…</p><p>Conclusions</p><p>MUKA significantly corrects the majority of ankle alignment towards a more neutral position. …”

Complementary conditioning measures in healthy subjects. by Gabriela Ribeiro (4748373)

“…<b>(I) Novelty</b> ratings significantly decreased from pre to post-conditioning (F_(1,51) = 10.2, <i>P</i> = 0.002; post hoc CS^-, <i>P</i> = 0.0001; post hoc CS⁺, <i>P</i> = 0.01) but similarly for both stimuli (F_{(1, 51)} = 0.17, <i>P</i> = 0.7; Interaction: F_{(1, 51)} = 1.1, <i>P</i> = 0.3). …”

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. …”