Cumulative incidence curves of recovery by group. by Jae-Heung Cho (798319)

“…<div><p>The effectiveness and cost-effectiveness of <i>Chuna</i> manual therapy (CMT) for temporomandibular joint disorders (TMD) remain unclear. Here, we compared the effectiveness of CMT and usual care for treating myofascial TMD. …”

Primer sequences used for RT-PCR. by Jingjing Chen (293564)

“…Notably, SIRT1 levels decrease with age in both mice and during cellular senescence, highlighting its significance in anti-aging processes. …”

Antibody reagent list. by Helena Saura Martinez (22305113)

“…In <i><i>T. bryosalmonae</i></i> exposed animals, parasite concentration increased significantly over time. Moreover, a proportional increase in IgM⁺ B cells and a proportional decrease in myeloid cells over time was observed. …”

Entomopathogenic fungi-derived copper nanoparticles (CuNPs) exhibited pupicidal activity against pupae of <i>A</i>. <i>albopictus</i> at 24 and 48h post treatment. by Perumal Vivekanandhan (4863484)

Entomopathogenic fungi-derived copper nanoparticles (CuNPs) exhibited adulticidal activity against adult of <i>A</i>. <i>albopictus</i> at 24 and 48h post treatment. by Perumal Vivekanandhan (4863484)

The response of the <i>A</i>. <i>albopictus</i> larval Glutathione S-transferase (GST) enzyme increased 7.8-fold in response to <i>M</i>. <i>robertsii</i>-derived copper nanopartic... by Perumal Vivekanandhan (4863484)

Entomopathogenic fungi-derived copper nanoparticles (CuNPs) exhibited larvicidal activity against larvae of <i>A</i>. <i>albopictu</i> at 24 and 48h post treatment. by Perumal Vivekanandhan (4863484)

Entomopathogenic fungi-derived copper nanoparticles (CuNPs) exhibited minimal toxicity effects against <i>E</i>. <i>eugeniae</i> at 24 and 48h post treatment. by Perumal Vivekanandhan (4863484)

Entomopathogenic fungi-derived copper nanoparticles (CuNPs) exhibited minimal toxicity effects against <i>A</i>. <i>salina</i> at 24 and 48h post treatment. by Perumal Vivekanandhan (4863484)

Channel pruning process. by Zhongjian Xie (4633099)

Statins resulted in smaller neuronal soma size. by Shuk C. Tsoi (21192243)

“…Within control birds, the BrdU + /Hu+ neuron population was significantly smaller in soma size than the BrdU-/Hu+ older, heterogeneous population (A). …”

Mice in the NTC and MBC-005 treatment groups were evaluated for bioluminescent signaling at 6-, 13-, and 21-days after tumor inoculation. by Bryan S. Margulies (21492667)

“…(C) Bioluminescent imaging showed the greatest decrease in signal was in the 60-μg MBC-005 groups; however, 30-, 120-, 180-, 240-, and 480-μg MBC-005 groups qualitative had less bioluminescent signal. …”

ox-LDL stimulates cytotoxicity and pyroptosis among RAW264.7. by Ping-yu Cai (12389929)

Characterization of muscle and systemic tissue damage during acute <i>T</i>. <i>cruzi</i> infection. by Santiago Boccardo (5927954)

Peripheral target tissues display inflammatory responses during acute <i>T</i>. <i>cruzi</i> infection. by Santiago Boccardo (5927954)

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

“…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. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”

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

“…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. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”

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

“…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. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”

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

“…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. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”

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

“…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. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”