CS rates increased with protraction and decreased with retraction. by Paul Hage (21071783)

Maximum IFN concentrations are decreased in severe patients. by Sonia T. Gazeau (21512764)

Mean internal space gap. by Mizuki Kakizawa (22574740)

(A) Auxiliary marking points to ensure complete and accurate seating of the prosthesis. by Long Li (6555)

Cinacalcet administered early in the inactive phase markedly decrease parathyroid Ki-67 index. by Søren Egstrand (10906087)

Group-level narrow- and broad-band spectral changes after hemispherotomy reveal a marked EEG slowing of the isolated cortex, robust across patients. by Michele Angelo Colombo (22446342)

“…This decrease was larger in the disconnected than in the contralateral cortex. …”

Map of Pakistan with marked Punjab province. by Sumaira Sumaira (21453523)

Biases in larger populations. by Sander W. Keemink (21253563)

“…With amplitude scaling the mean population activity was kept the same by scaling down the response amplitude for larger population (blue curve). …”

Pial space and vascular territories. by Eduardo G. Zilves (22209247)

The parameters of gas exchange markedly decreased in maize <i>zmstomagen1/2</i> mutant compared with in wild type (WT). by Juan-Juan Xu (18590868)

PLB is a target gene of miRNA 221. by Hongyu Li (1332669)

Expression of lipid biosynthetic genes is decreased with polyamine depletion. by Yazmin E. Cruz-Pulido (20285238)

Conditional ablation of <i>Ybx1</i> leads to a reduction in cortical progenitor cell pool and a decrease in cortical thickness. by Jian Zhang (1682)

Mean and standard error of pupil diameter in the dim states. by Tomoe Hayakawa (20978784)

“…However, in the second experiment (Experiment 2), the pupil diameter in the TD group showed a significant decrease. Significance levels are based on unpaired t-tests (**<i>p</i> <  0.01).…”

Experimental environment and parameters. by Haisong Xu (141729)

“…First, an efficient channel attention mechanism (ECA) is inserted in the layer before the SPPF in the backbone network, which realizes efficient computation of channel attention and reduces redundant computation while decreasing the model complication. Second, using the Content-Aware ReAssembly of Features (CARAFE) module instead of the original nearest-neighbor up-sampling module achieves light weighting while allowing for better aggregation of contextual information within a larger sensory field, which effectively improves the diversity and effectiveness of the model. …”

Results of ablation experiments. by Haisong Xu (141729)

“…First, an efficient channel attention mechanism (ECA) is inserted in the layer before the SPPF in the backbone network, which realizes efficient computation of channel attention and reduces redundant computation while decreasing the model complication. Second, using the Content-Aware ReAssembly of Features (CARAFE) module instead of the original nearest-neighbor up-sampling module achieves light weighting while allowing for better aggregation of contextual information within a larger sensory field, which effectively improves the diversity and effectiveness of the model. …”

ECA structural model diagram. by Haisong Xu (141729)

“…First, an efficient channel attention mechanism (ECA) is inserted in the layer before the SPPF in the backbone network, which realizes efficient computation of channel attention and reduces redundant computation while decreasing the model complication. Second, using the Content-Aware ReAssembly of Features (CARAFE) module instead of the original nearest-neighbor up-sampling module achieves light weighting while allowing for better aggregation of contextual information within a larger sensory field, which effectively improves the diversity and effectiveness of the model. …”

YOLOv5s general structure diagram. by Haisong Xu (141729)

“…First, an efficient channel attention mechanism (ECA) is inserted in the layer before the SPPF in the backbone network, which realizes efficient computation of channel attention and reduces redundant computation while decreasing the model complication. Second, using the Content-Aware ReAssembly of Features (CARAFE) module instead of the original nearest-neighbor up-sampling module achieves light weighting while allowing for better aggregation of contextual information within a larger sensory field, which effectively improves the diversity and effectiveness of the model. …”

Heat maps for different models. by Haisong Xu (141729)

“…First, an efficient channel attention mechanism (ECA) is inserted in the layer before the SPPF in the backbone network, which realizes efficient computation of channel attention and reduces redundant computation while decreasing the model complication. Second, using the Content-Aware ReAssembly of Features (CARAFE) module instead of the original nearest-neighbor up-sampling module achieves light weighting while allowing for better aggregation of contextual information within a larger sensory field, which effectively improves the diversity and effectiveness of the model. …”

Defect category statistics. by Haisong Xu (141729)

“…First, an efficient channel attention mechanism (ECA) is inserted in the layer before the SPPF in the backbone network, which realizes efficient computation of channel attention and reduces redundant computation while decreasing the model complication. Second, using the Content-Aware ReAssembly of Features (CARAFE) module instead of the original nearest-neighbor up-sampling module achieves light weighting while allowing for better aggregation of contextual information within a larger sensory field, which effectively improves the diversity and effectiveness of the model. …”