Fig 4 - حسب Alvine M. Akumbom (20460907)

"…The mean difference in GMT for HPV18 between PWH and PWoH was -536.23 (95% CI: -830.66, -241.81); approximately 22 times higher than HPV18 seropositivity cut-offs, assuming milli-Merck Units per milliliter. …"

Difference in GMT for HPV16 and HPV18 in PWH. حسب Alvine M. Akumbom (20460907)

"…The mean difference in GMT for HPV18 between PWH and PWoH was -536.23 (95% CI: -830.66, -241.81); approximately 22 times higher than HPV18 seropositivity cut-offs, assuming milli-Merck Units per milliliter. …"

Fig 3 - حسب Alvine M. Akumbom (20460907)

"…The mean difference in GMT for HPV18 between PWH and PWoH was -536.23 (95% CI: -830.66, -241.81); approximately 22 times higher than HPV18 seropositivity cut-offs, assuming milli-Merck Units per milliliter. …"

Summary of characteristics of studies reviewed. حسب Alvine M. Akumbom (20460907)

"…The mean difference in GMT for HPV18 between PWH and PWoH was -536.23 (95% CI: -830.66, -241.81); approximately 22 times higher than HPV18 seropositivity cut-offs, assuming milli-Merck Units per milliliter. …"

Cumulative meta-analysis. حسب Alvine M. Akumbom (20460907)

"…The mean difference in GMT for HPV18 between PWH and PWoH was -536.23 (95% CI: -830.66, -241.81); approximately 22 times higher than HPV18 seropositivity cut-offs, assuming milli-Merck Units per milliliter. …"

Summary of immunogenicity information. حسب Alvine M. Akumbom (20460907)

"…The mean difference in GMT for HPV18 between PWH and PWoH was -536.23 (95% CI: -830.66, -241.81); approximately 22 times higher than HPV18 seropositivity cut-offs, assuming milli-Merck Units per milliliter. …"

<i>In vitro</i> fluorescence imaging and physicochemical characterization of the 3WJ-n × Bro fluorescent aptamer. حسب Sha Liu (80416)

TraN directs surface exclusion specificity. حسب Nicolas Rivard (3875746)

Impact of environmental temperature on daily brood sizes across species. حسب Ben T. Gregory (20442502)

Flow chart of the study participants. حسب Milton W. Musaba (8431944)

"…</p><p>Results</p><p>Bedside resuscitation increased significantly in the post-implementation period (9.3% versus 45.3%, <i>p</i> < 0.001 while early cord clamping decreased (26.7% versus 12.0%, <i>p</i> = 0.042). …"

Suggested modifications for the BabySaver. حسب Milton W. Musaba (8431944)

"…</p><p>Results</p><p>Bedside resuscitation increased significantly in the post-implementation period (9.3% versus 45.3%, <i>p</i> < 0.001 while early cord clamping decreased (26.7% versus 12.0%, <i>p</i> = 0.042). …"

TSA alleviates the induction of inflammatory cytokines in <i>Col4a3</i> KO mice. حسب Yoon Seok Nam (20678482)

"…<p>(A) The mRNA level of proinflammatory cytokines IL-1β and TGF-β1 was higher in the cochlea of <i>Col4a3</i> KO mice, while IL-6 and TNF-α were significantly increased compared to wild-type (WT) mice. …"

The number of male–male agonistic interactions in relation to females with maximal swelling. حسب Heungjin Ryu (10747673)

"…<b>(D)</b> Visualization of the interdependency between the number of males and females with maximal swelling on the male aggression rate (significant interaction in LM-2E) shows that when there were a greater number of males in the party, e.g., Mean + 1SD (9.6 males in D), the male aggression rate decreased as the number of females with maximal swelling increased. …"

Graphical overview of study. حسب Brian Foo (19273132)

Correlation between urinary Br- levels and ERP indices in all participants before (n = 50) and after (n = 50) work. حسب Jungmi Choi (4740150)

The overall framework of CARAFE. حسب 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. حسب 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. حسب 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. حسب 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. حسب 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. …"