Fig 6 - by Altannavch Nyamsambuu (11985176)

Exploring reopening strategies for low disease transmission <i>v</i>_<i>r</i> with testing capacity. by Mackenzie Dalton (14093874)

CPSF6-NLS chimeras confer virus-specific infectivity defects. by Nicholas Rohlfes (20577485)

Cellular viability of ergothioneine-treated hDPSCs. by Amarin Thongsuk (21485401)

The CYP7B1 inhibitor, clotrimazole, and the EBI2 receptor antagonist, NIBR189, attenuate LPS-induced astrocyte migration <i>in vitro.</i> by Fionä Caratis (12759506)

Plasma miR-92a expression level and ROC curve in patients with non-Hodgkin's lymphoma by quantitative real-time PCR. by Kazuma Ohyashiki (229098)

“…<p>(A) Plasma miR-17-92a expression levels in normal subjects (open bars: Normal: n = 5) and diffuse large B-cell lymphoma (solid bars: DLBCL: n = 13), indicating that all of these miR-17-92a polycistronic miRs were remarkably decreased in plasma obtained from DLBCL patients. …”

Neuronal activity. by Amarin Thongsuk (21485401)

Kifunensine reduces the titer of live SARS-CoV-2 BA.1.1, but not D614G or Delta variant. by Sabrina Lusvarghi (2329267)

PorB.1A <i>N</i>. <i>gonorrhoeae</i> SK92-679 serum resistance is independent from polyP pseudo-capsule. by Benedetta Manca (15810991)

Ablation study results. by Chunming Wen (17616274)

“…The experimental results show that the model before pruning has 96.1% and 53.2% mean average precision mAP50 and mAP50:95, respectively, which are 11.9% and 11.1% higher than the original YOLO11n, and the model after pruning also has 10.8% and 9.3% higher than the original YOLO11n, respectively, and the number of parameters is reduced to 279,778, and model size is reduced to 1.3MB. …”

LSDED structure. by Chunming Wen (17616274)

“…The experimental results show that the model before pruning has 96.1% and 53.2% mean average precision mAP50 and mAP50:95, respectively, which are 11.9% and 11.1% higher than the original YOLO11n, and the model after pruning also has 10.8% and 9.3% higher than the original YOLO11n, respectively, and the number of parameters is reduced to 279,778, and model size is reduced to 1.3MB. …”

SSFF and TFE structural diagrams. by Chunming Wen (17616274)

“…The experimental results show that the model before pruning has 96.1% and 53.2% mean average precision mAP50 and mAP50:95, respectively, which are 11.9% and 11.1% higher than the original YOLO11n, and the model after pruning also has 10.8% and 9.3% higher than the original YOLO11n, respectively, and the number of parameters is reduced to 279,778, and model size is reduced to 1.3MB. …”

Comparison of key data before and after pruning. by Chunming Wen (17616274)

“…The experimental results show that the model before pruning has 96.1% and 53.2% mean average precision mAP50 and mAP50:95, respectively, which are 11.9% and 11.1% higher than the original YOLO11n, and the model after pruning also has 10.8% and 9.3% higher than the original YOLO11n, respectively, and the number of parameters is reduced to 279,778, and model size is reduced to 1.3MB. …”

5-fold cross-validation comparison results. by Chunming Wen (17616274)

“…The experimental results show that the model before pruning has 96.1% and 53.2% mean average precision mAP50 and mAP50:95, respectively, which are 11.9% and 11.1% higher than the original YOLO11n, and the model after pruning also has 10.8% and 9.3% higher than the original YOLO11n, respectively, and the number of parameters is reduced to 279,778, and model size is reduced to 1.3MB. …”

Improved structure of YOLO11. by Chunming Wen (17616274)

“…The experimental results show that the model before pruning has 96.1% and 53.2% mean average precision mAP50 and mAP50:95, respectively, which are 11.9% and 11.1% higher than the original YOLO11n, and the model after pruning also has 10.8% and 9.3% higher than the original YOLO11n, respectively, and the number of parameters is reduced to 279,778, and model size is reduced to 1.3MB. …”

3-D comparison of key data across models. by Chunming Wen (17616274)

“…The experimental results show that the model before pruning has 96.1% and 53.2% mean average precision mAP50 and mAP50:95, respectively, which are 11.9% and 11.1% higher than the original YOLO11n, and the model after pruning also has 10.8% and 9.3% higher than the original YOLO11n, respectively, and the number of parameters is reduced to 279,778, and model size is reduced to 1.3MB. …”

Shape-IoU structure diagram. by Chunming Wen (17616274)

“…The experimental results show that the model before pruning has 96.1% and 53.2% mean average precision mAP50 and mAP50:95, respectively, which are 11.9% and 11.1% higher than the original YOLO11n, and the model after pruning also has 10.8% and 9.3% higher than the original YOLO11n, respectively, and the number of parameters is reduced to 279,778, and model size is reduced to 1.3MB. …”

YOLO11 structure. by Chunming Wen (17616274)

“…The experimental results show that the model before pruning has 96.1% and 53.2% mean average precision mAP50 and mAP50:95, respectively, which are 11.9% and 11.1% higher than the original YOLO11n, and the model after pruning also has 10.8% and 9.3% higher than the original YOLO11n, respectively, and the number of parameters is reduced to 279,778, and model size is reduced to 1.3MB. …”

Comparative experimental results. by Chunming Wen (17616274)

“…The experimental results show that the model before pruning has 96.1% and 53.2% mean average precision mAP50 and mAP50:95, respectively, which are 11.9% and 11.1% higher than the original YOLO11n, and the model after pruning also has 10.8% and 9.3% higher than the original YOLO11n, respectively, and the number of parameters is reduced to 279,778, and model size is reduced to 1.3MB. …”

Comparative experimental results. by Chunming Wen (17616274)

“…The experimental results show that the model before pruning has 96.1% and 53.2% mean average precision mAP50 and mAP50:95, respectively, which are 11.9% and 11.1% higher than the original YOLO11n, and the model after pruning also has 10.8% and 9.3% higher than the original YOLO11n, respectively, and the number of parameters is reduced to 279,778, and model size is reduced to 1.3MB. …”