YOLOv8 overall framework. by Wenshun Sheng (21485393)

“…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”

The performance of YOFGD model on MOT16. by Wenshun Sheng (21485393)

“…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”

Network structure of OSA. by Wenshun Sheng (21485393)

“…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”

The performance of S-YOFEO model on MOT17. by Wenshun Sheng (21485393)

“…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”

Five multi-target tracking evaluation indexes. by Wenshun Sheng (21485393)

“…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”

Algorithm flowchart of OFEO. by Wenshun Sheng (21485393)

“…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”

Partial tracking results of MOT17 dataset. by Wenshun Sheng (21485393)

“…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”

Improved detection layer. by Wenshun Sheng (21485393)

“…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”

The performance of S-YOFEO model on MOT16. by Wenshun Sheng (21485393)

“…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”

The matching process of EIOU. by Wenshun Sheng (21485393)

“…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”

60 Hz-induced neural entrainment. by MohammadAmin Alamalhoda (22386405)

“…Statistical significance for these inter-group comparisons was assessed using the Wilcoxon rank-sum test. …”

Table 1_The effect of self-compassion versus mindfulness interventions on autonomic responses to stress in generalized anxiety disorders.docx by Xuejun Qi (3842173)

“…We also demonstrated a significant correlation between decreased heart rate response and less negative emotions.…”

Bias risk assessment of included studies. 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 hs-CRP. 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 IL-6. 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). …”

The incidence rate of adverse reactions. 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). …”

The PRISMA study flowchart. 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 FEV1/FVC. 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 clinical efficacy. 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 FEV1. 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). …”