Dataset visualization diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Dataset sample images. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Performance comparison of different models. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Strength characteristics of metakaolin and cement stabilized dredged clay at high water content by Zhicheng Wang (453756)

“…These products filled the pores and improved the interlocking of soil particles, leading to a significantly enhanced microstructure and increased shear strength of the MK and PC stabilized soil.…”

Disruption of <i>CmHmgr1</i> triggers apoptosis and causes defects in growth, conidiogenesis, and mycoparasitism of <i>Coniothyrium minitans</i> by Xiaoxiang Yang (5945225)

“…This mutant exhibited significantly reduced hyphal development, poor conidiation, and decreased sclerotial mycoparasitism. …”

Data Sheet 1_Sustainable remediation of heavy metal contaminated soil through phytostabilization with the in-situ immobilization by mercapto-based palygorskite.docx by Hongjie Kuang (22489438)

“…Compared with planting C. zizanioides alone, the application of MPAL significantly promoted the growth of C. zizanioides, enhanced its antioxidant enzyme activities, and decreased Cd and Pb concentrations in roots and shoots. …”

<b>Phenological changes mediated the effects of nitrogen enrichment on reproduction in an alpine meadow on the Tibetan Plateau</b> by Tianwu Zhang (22122382)

“…</p><p dir="ltr">We found that N addition delayed the reproductive period and decreased both flower and fruit production in alpine plants. …”

Using high-temperature-modified graphene to alleviate pore pressure in concrete under high temperatures by Yongpeng Zeng (10089160)

“…While the compressive strength decreased slightly with graphene at room temperature (6.9%, 16% and 50.9% reductions at 5, 10 and 15 wt.%, respectively), the residual strength loss after 400 °C was significantly lower: 46.3%, 17.8%, and 29.0% for 5, 10, and 15 wt.% MGP, respectively, compared to 72.9% in the control group. …”

Susceptibility of RUNX1 promoter rs2071029 polymorphism to adjuvant chemotherapy-induced neutropenia in CRC by Xikai Luo (21520875)

“…RUNX1 promoter SNP rs2071029T had a decreased risk of severe CIN compared with rs2071029C. …”

Table 3_Changes in children respiratory infections pre and post COVID-19 pandemic.docx by Yuanyuan Yue (3226023)

“…Background<p>Non-pharmaceutical interventions (NPIs) implemented during the COVID-19 pandemic had a significant impact on the prevalence of various acute respiratory infections (ARIs) pathogens.…”

Table 2_Changes in children respiratory infections pre and post COVID-19 pandemic.xlsx by Yuanyuan Yue (3226023)

“…Background<p>Non-pharmaceutical interventions (NPIs) implemented during the COVID-19 pandemic had a significant impact on the prevalence of various acute respiratory infections (ARIs) pathogens.…”

Table 1_Changes in children respiratory infections pre and post COVID-19 pandemic.xlsx by Yuanyuan Yue (3226023)

“…Background<p>Non-pharmaceutical interventions (NPIs) implemented during the COVID-19 pandemic had a significant impact on the prevalence of various acute respiratory infections (ARIs) pathogens.…”

Flowchart of node scheduling. by Zhouzhou Liu (21560758)

“…Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”

Key parameters of the data collection scheme. by Zhouzhou Liu (21560758)

“…Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”

Comparative analysis of data collection schemes. by Zhouzhou Liu (21560758)

“…Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”

WSNs Data Collection Model. by Zhouzhou Liu (21560758)

“…Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”

Flowchart of network clustering. by Zhouzhou Liu (21560758)

“…Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”

Monitoring Area. by Zhouzhou Liu (21560758)

“…Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”

Flowchart of the proposed scheme. by Zhouzhou Liu (21560758)

“…Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”

Flowchart of CS reconstruction. by Zhouzhou Liu (21560758)

“…Simulation results demonstrate that, compared to existing data collection schemes, the proposed approach significantly reduces WSN transmission overhead, ensures accurate recovery of raw data, decreases data reconstruction error, and extends network lifetime.…”