Table1_Clinical efficacy of Fufang Yinhua Jiedu (FFYH) granules in mild COVID-19 and its anti-SARS-CoV-2 mechanism by blocking autophagy through inhibiting the AKT/mTOR signaling p... by Wenlei Wang (1514554)

“…A time-of-drug-addition assay confirmed that FFYH mainly targeted the binding and replication stages of the SARS-CoV-2 life cycle. …”

Table2_Clinical efficacy of Fufang Yinhua Jiedu (FFYH) granules in mild COVID-19 and its anti-SARS-CoV-2 mechanism by blocking autophagy through inhibiting the AKT/mTOR signaling p... by Wenlei Wang (1514554)

“…A time-of-drug-addition assay confirmed that FFYH mainly targeted the binding and replication stages of the SARS-CoV-2 life cycle. …”

Table_1_Visuomotor Adaptation Brain Changes During a Spaceflight Analog With Elevated Carbon Dioxide (CO2): A Pilot Study.docx by Ana Paula Salazar (9745565)

“…Also, there were no statistically significant differences between the HDBR+CO₂ group and the HDBR controls, suggesting that changes in brain activity were due primarily to bed rest rather than elevated CO₂. Five HDBR+CO₂ participants presented with optic disc edema, a sign of Spaceflight Associated Neuro-ocular Syndrome (SANS). …”

A sudden change of the inhibition in Phase III destabilizes the system. by Christian Tetzlaff (235968)

“…<p>Inhibition is suddenly decreased/increased (<b>left/right column</b>) as shown in panels (<b>A</b>) and (<b>B</b>). …”

A Hendecad Motif Is Preferred for Heterochiral Coiled-Coil Formation by Dale F. Kreitler (1894927)

“…We recently reported the first high-resolution structures for heterochiral coiled-coil dimers, which represent a starting point for understanding associations of l- and d-polypeptides. …”

Repression of chromosomal interactions with RdDM targets corresponds to gene repression. by M. Jordan Rowley (217865)

“…(F) Increased interactions with <i>nrpe1</i> DMRs corresponds to decreased gene expression. The negative log2 fold change in gene expression (RNA-seq <i>ago4</i> / Col-0) is plotted for genes which do not show increased interaction to <i>nrpe1</i> DMRs in the <i>ago4</i> mutant and for genes which do show increased interactions to <i>nrpe1</i> DMRs in the <i>ago4</i> mutant. …”

Image_1_Is Better Standardization of Therapeutic Antibody Quality in Emerging Diseases Epidemics Possible?.pdf by Sanda Ravlić (12116751)

“…Their decline in convalescents was on average 1.4-fold in a one-month period. Heat-inactivation resulted in 2.3-fold decrease of NAb titres in comparison to the native sera, implying significant complement activating properties of SARS-CoV-2 specific antibodies. …”

Table_1_Is Better Standardization of Therapeutic Antibody Quality in Emerging Diseases Epidemics Possible?.pdf by Sanda Ravlić (12116751)

“…Their decline in convalescents was on average 1.4-fold in a one-month period. Heat-inactivation resulted in 2.3-fold decrease of NAb titres in comparison to the native sera, implying significant complement activating properties of SARS-CoV-2 specific antibodies. …”

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. …”

Non-lactogenic control cells. by Celeste M. Sheftel (9557588)

“…<p><b>A.</b> Intracellular 5HT concentration is significantly increased in FLX treated non-lactogenic HC11 cells. …”