Forest plot for PaCO₂. by Xuqin Du (8803772)

“…Compared to standard treatment, QJHTD significantly improved pulmonary function, with increases in FEV1 (MD = 0.32, 95% CI [0.25, 0.38], <i>p </i>= 0.000), FVC (MD = 0.30, 95% CI [0.22, 0.37], <i>p </i>= 0.000), FEV1/FVC (MD = 5.58, 95% CI [4.81, 6.34], <i>p </i>= 0.000), and PaO₂ (MD = 9.62, 95% CI [6.17, 13.08], <i>p </i>= 0.000), and a decrease in PaCO₂ (MD = -9.12, 95% CI [–11.96, –6.28], <i>p </i>= 0.000). …”

Forest plot for PaO₂. by Xuqin Du (8803772)

“…Compared to standard treatment, QJHTD significantly improved pulmonary function, with increases in FEV1 (MD = 0.32, 95% CI [0.25, 0.38], <i>p </i>= 0.000), FVC (MD = 0.30, 95% CI [0.22, 0.37], <i>p </i>= 0.000), FEV1/FVC (MD = 5.58, 95% CI [4.81, 6.34], <i>p </i>= 0.000), and PaO₂ (MD = 9.62, 95% CI [6.17, 13.08], <i>p </i>= 0.000), and a decrease in PaCO₂ (MD = -9.12, 95% CI [–11.96, –6.28], <i>p </i>= 0.000). …”

Optimisation of read depth, DNA quantity, and unique alternate observation threshold. by Melinda L. Tursky (20790436)

Ablation Experiment GradCAM Heatmap. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

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

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Data augmentation. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Side angle tea picking. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

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

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Table of dataset division. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Striking image. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

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

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Model comparison experimental results. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

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

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Loss function variation curve. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

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

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Inner-IoU. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Bimodality of PD distributions. by Max Grogan (20384350)

“…Note that model quality continues to improve (decreasing AIC/BIC value) with number of modes, however the most significant decrease occurs between 1 and 2 modes, while remaining improvements are small. …”

<b>Exploring left lateral decubitus position, and its influence on infant mortality in pregnant women in their third trimester, brought to the emergency through the GVK Ambulance S... by Laggy George (19873020)

“…No large studies have been done to adequately understand the immediate and long-term implications of maternal sleep position as a modifiable risk factor, which if addressed may potentially improve infant outcomes like small for gestational babies, stillbirth, and failure-to-thrive. …”

Supplementary Material for: Effects of wearing hearing aids on gait and cognition: A pilot study by figshare admin karger (2628495)

“…Although these results should be interpreted with caution due to the non-randomized controlled trial design and small sample size, the findings suggest that improving hearing acuity among older adults may enhance their overall health status.…”

DataSheet1_A lightweight MHDI-DETR model for detecting grape leaf diseases.pdf by Zilong Fu (20392494)

“…The original residual backbone network was improved using the MobileNetv4 network, significantly reducing the model’s computational requirements and complexity. …”