RT-qPCR data for Figs 1 and 2. by Takumi Hanada (19812700)

“…Further analysis of its expression during reproductive caste differentiation showed that its expression levels increased prior to molting into reproductive individuals, even during the winged imago (alates) stage. …”

Primer sequences used in this study. by Takumi Hanada (19812700)

“…Further analysis of its expression during reproductive caste differentiation showed that its expression levels increased prior to molting into reproductive individuals, even during the winged imago (alates) stage. …”

Channel pruning process. by Zhongjian Xie (4633099)

“…<p>After channel pruning, the algorithm model experiences a significant reduction in parameters and computational load, yet it may incur a decrease in accuracy. …”

Overall structure of DSConv. by Lei Zhou (19808)

“…Experimental results demonstrate a significant improvement in detection performance. Specifically, mAP@0.5 increased by 2.9%, precision improved by 3.5%, and mAP@0.5:0.95 rose by 2.3%, highlighting the model’s superior capability in detecting complex defects. …”

FE_Block. by Lei Zhou (19808)

“…Experimental results demonstrate a significant improvement in detection performance. Specifically, mAP@0.5 increased by 2.9%, precision improved by 3.5%, and mAP@0.5:0.95 rose by 2.3%, highlighting the model’s superior capability in detecting complex defects. …”

Fabric defect samples. by Lei Zhou (19808)

“…Experimental results demonstrate a significant improvement in detection performance. Specifically, mAP@0.5 increased by 2.9%, precision improved by 3.5%, and mAP@0.5:0.95 rose by 2.3%, highlighting the model’s superior capability in detecting complex defects. …”

Structure of CPCA. by Lei Zhou (19808)

“…Experimental results demonstrate a significant improvement in detection performance. Specifically, mAP@0.5 increased by 2.9%, precision improved by 3.5%, and mAP@0.5:0.95 rose by 2.3%, highlighting the model’s superior capability in detecting complex defects. …”

Comparison of CPCA attention mechanism effects. by Lei Zhou (19808)

“…Experimental results demonstrate a significant improvement in detection performance. Specifically, mAP@0.5 increased by 2.9%, precision improved by 3.5%, and mAP@0.5:0.95 rose by 2.3%, highlighting the model’s superior capability in detecting complex defects. …”

Overall structure of EMA attention mechanism. by Lei Zhou (19808)

“…Experimental results demonstrate a significant improvement in detection performance. Specifically, mAP@0.5 increased by 2.9%, precision improved by 3.5%, and mAP@0.5:0.95 rose by 2.3%, highlighting the model’s superior capability in detecting complex defects. …”

FE_C2f. by Lei Zhou (19808)

“…Experimental results demonstrate a significant improvement in detection performance. Specifically, mAP@0.5 increased by 2.9%, precision improved by 3.5%, and mAP@0.5:0.95 rose by 2.3%, highlighting the model’s superior capability in detecting complex defects. …”

PConv structure. by Lei Zhou (19808)

“…Experimental results demonstrate a significant improvement in detection performance. Specifically, mAP@0.5 increased by 2.9%, precision improved by 3.5%, and mAP@0.5:0.95 rose by 2.3%, highlighting the model’s superior capability in detecting complex defects. …”

Improved DCFE-YOLOv8 algorithm. by Lei Zhou (19808)

“…Experimental results demonstrate a significant improvement in detection performance. Specifically, mAP@0.5 increased by 2.9%, precision improved by 3.5%, and mAP@0.5:0.95 rose by 2.3%, highlighting the model’s superior capability in detecting complex defects. …”

Experimental environment configuratio. by Lei Zhou (19808)

“…Experimental results demonstrate a significant improvement in detection performance. Specifically, mAP@0.5 increased by 2.9%, precision improved by 3.5%, and mAP@0.5:0.95 rose by 2.3%, highlighting the model’s superior capability in detecting complex defects. …”

Model comparison experiments. by Lei Zhou (19808)

“…Experimental results demonstrate a significant improvement in detection performance. Specifically, mAP@0.5 increased by 2.9%, precision improved by 3.5%, and mAP@0.5:0.95 rose by 2.3%, highlighting the model’s superior capability in detecting complex defects. …”

Comparison of different attention mechanisms. by Lei Zhou (19808)

“…Experimental results demonstrate a significant improvement in detection performance. Specifically, mAP@0.5 increased by 2.9%, precision improved by 3.5%, and mAP@0.5:0.95 rose by 2.3%, highlighting the model’s superior capability in detecting complex defects. …”

Ablation experiments of different modules. by Lei Zhou (19808)

“…Experimental results demonstrate a significant improvement in detection performance. Specifically, mAP@0.5 increased by 2.9%, precision improved by 3.5%, and mAP@0.5:0.95 rose by 2.3%, highlighting the model’s superior capability in detecting complex defects. …”

Comparison of iKIR score interaction terms for the 9 protective genotypes in a generalized linear model (GLM) vs a generalized linear mixed model (GLMM) with a relatedness matrix. by Laura Mora-Bitria (20477525)

“…Red lines now denote the significance level (α = 0.05) and the grey line is again the line of identity. …”

Purified anti-rBdP50 antibodies inhibit invasion of <i>B. divergens</i> merozoites in vitro. by Luis Miguel Gonzalez (19432118)

Overlap between present-day relative incident risk and incident reports. by Hannah Solway (20565079)

Data in Figures by Yicheng Long (366418)

“…<div><p>Amid substantial capital influx and the rapid evolution of online user groups, the increasing complexity of user behavior poses significant challenges to cybersecurity, particularly in the domain of vulnerability prediction. …”