Table_2_Between-Subject and Within-Subject Variation of Muscle Atrophy and Bone Loss in Response to Experimental Bed Rest.pdf by Jonas Böcker (12116898)

“…Non-significant to small positive inter-site correlations between bone sites, but very large positive inter-site correlation between muscle sites suggests that substantial WSV exists in the tibia bone, but much less so in the calf musculature. …”

Table_5_Between-Subject and Within-Subject Variation of Muscle Atrophy and Bone Loss in Response to Experimental Bed Rest.pdf by Jonas Böcker (12116898)

“…Non-significant to small positive inter-site correlations between bone sites, but very large positive inter-site correlation between muscle sites suggests that substantial WSV exists in the tibia bone, but much less so in the calf musculature. …”

Table_1_Between-Subject and Within-Subject Variation of Muscle Atrophy and Bone Loss in Response to Experimental Bed Rest.pdf by Jonas Böcker (12116898)

“…Non-significant to small positive inter-site correlations between bone sites, but very large positive inter-site correlation between muscle sites suggests that substantial WSV exists in the tibia bone, but much less so in the calf musculature. …”

Ablation Experiment GradCAM Heatmap. by Chunhua Yang (346871)

“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”

Space-to-depth convolution. by Chunhua Yang (346871)

“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”

Data augmentation. by Chunhua Yang (346871)

“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”

Side angle tea picking. by Chunhua Yang (346871)

“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”

Comparison results of ablation experiments. by Chunhua Yang (346871)

“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”

Table of dataset division. by Chunhua Yang (346871)

“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”

Striking image. by Chunhua Yang (346871)

“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”

Precision, recall, F1-Score curve. by Chunhua Yang (346871)

“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”

Model comparison experimental results. by Chunhua Yang (346871)

“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”

Slicing aided hyper inference algorithm. by Chunhua Yang (346871)

“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”

Improved YOLOv10 network structure. by Chunhua Yang (346871)

“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”

Loss function variation curve. by Chunhua Yang (346871)

“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”

Different model detection results comparison. by Chunhua Yang (346871)

“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”

Inner-IoU. by Chunhua Yang (346871)

“…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”

Data Sheet 1_Alpine steppe vegetation communities are more sensitive to plateau pika disturbance than alpine meadows.docx by Rui Hua (127074)

“…</p>Results<p>The results showed that the alpine steppe was more sensitive to pika disturbance, with significant decreases in biomass, vegetation height, and coverage even at low disturbance levels. …”

Coupled dynamic characteristics of the hull and cushioning structure of high-speed water entry vehicle by Lei Xu (78676)

“…It is also observed that the density of the RPUF material has a significant effect on the load reduction efficiency, while the strain rate effect has a relatively small effect. …”

Supplementary file 1_Analysis of the diagnostic value of peripheral blood immune inflammatory indicators of female bladder pain syndrome.zip by Yinglei Wang (3844756)

“…Compared with the normal bladder capacity group, patients with small bladder capacity demonstrated significantly lower SII, PLR, PLT, with statistically significant differences (all P < 0.05). …”