Image 3_Human beta defensin-2 protects the epithelial barrier during methicillin-resistant Staphylococcus aureus infection in chronic rhinosinusitis with nasal polyps.tif by Tengfei Tian (1793545)

“…The presence of hBD-2 significantly reduced the invasive ability of MRSA in HNECs. …”

Performance comparison of three loss functions. 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%. …”

Cage Friction Measurements in High-Speed Bearings by Joseph Leo Misenar (22504786)

“…The cage friction exhibited a dichotomic behavior, increasing in the oil-dominant regime at lower speeds and decreasing significantly in the air-dominant regime at higher speeds. …”

Image 1_Human beta defensin-2 protects the epithelial barrier during methicillin-resistant Staphylococcus aureus infection in chronic rhinosinusitis with nasal polyps.tif by Tengfei Tian (1793545)

“…The presence of hBD-2 significantly reduced the invasive ability of MRSA in HNECs. …”

mAP0.5 Curves of various 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%. …”

Network loss function change 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%. …”

Comparative diagrams of different indicators. 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%. …”

Disruption of Astrocyte Communication by Carbenoxolone During Shockwave-Induced Stress by Serina Yan (22416354)

“…Peak calcium intensity was significantly reduced at 100 µM CBX, and both rise and fall rates of calcium signals decreased with increasing CBX concentration. …”

Does policy integration in renewable energy deployment enhance environmental sustainability in Africa? by Mary Donkor (20463828)

“…While renewable energy consumption decreases CO₂ emissions, it is associated with an increase in N₂O emissions. …”

Image 2_Human beta defensin-2 protects the epithelial barrier during methicillin-resistant Staphylococcus aureus infection in chronic rhinosinusitis with nasal polyps.tif by Tengfei Tian (1793545)

“…The presence of hBD-2 significantly reduced the invasive ability of MRSA in HNECs. …”

YOLOv8n structure 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%. …”

Supplementary file 1_Systemic lipid and glucose modulation differentially affects cognitive function and neuroinflammation in a mouse model of Alzheimer’s disease.docx by Demos Kynigopoulos (12420457)

“…</p>Results<p>Alirocumab significantly improved spatial working memory, restored hippocampal long-term potentiation, and normalized synaptophysin expression. …”

Geometric model of the binocular system. 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%. …”

Enhanced 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%. …”

DataSheet1_Protective effect of baicalin on oxidative stress injury in retinal ganglion cells through the JAK/STAT signaling pathway in vitro and in vivo.PDF by Huan Yu (140826)

“…</p>Results<p>In vitro experiments demonstrated that the survival rate of R28 cells after glutamate treatment dropped to 33.4%, while 10 μM baicalin significantly inhibited glutamate-induced damage in RGCs (P < 0.001) and enhanced cell viability through decreasing ROS levels, increasing antioxidant enzyme activity, and suppressing the expression of inflammatory factors iNOS, TNF-α, IL-6, and IL-1β (P < 0.001). …”

DataSheet1_Protective effect of baicalin on oxidative stress injury in retinal ganglion cells through the JAK/STAT signaling pathway in vitro and in vivo.PDF by Huan Yu (140826)

“…</p>Results<p>In vitro experiments demonstrated that the survival rate of R28 cells after glutamate treatment dropped to 33.4%, while 10 μM baicalin significantly inhibited glutamate-induced damage in RGCs (P < 0.001) and enhanced cell viability through decreasing ROS levels, increasing antioxidant enzyme activity, and suppressing the expression of inflammatory factors iNOS, TNF-α, IL-6, and IL-1β (P < 0.001). …”

Image 1_Mediation effects of metabolites and sex hormones on the relationship between body mass index and breast cancer: Mendelian randomization analysis and mediation analysis.jpg by Yanjiang Yang (13860452)

“…</p>Conclusion<p>This study discovered that BMI increases ER⁺BC risk through the pathway of sex hormones (biologically available testosterone), and decreases BC risk through multiple metabolite pathways causally. …”

Data Sheet 7_Experimental study on the correlation between pore evolution characteristics and seepage flow of loaded lignite.xlsx by Xi Zhang (83736)

“…The results show that (1) there are three stages, namely, compression, pore development, and post-peak failure, which promote the development and evolution of medium pore and macropores in lignite. (2) Under uniaxial compression, the permeability of the lignite sample shows a “V-shaped” trend, first decreasing and then increasing. When the axial pressure reaches approximately 3.0 MPa, the mutation of the MRI signal increases, and the enhancement of the MRI signal of the sample is due to the cumulative effect of mutation after aggregation. …”

Data Sheet 4_Experimental study on the correlation between pore evolution characteristics and seepage flow of loaded lignite.xlsx by Xi Zhang (83736)

“…The results show that (1) there are three stages, namely, compression, pore development, and post-peak failure, which promote the development and evolution of medium pore and macropores in lignite. (2) Under uniaxial compression, the permeability of the lignite sample shows a “V-shaped” trend, first decreasing and then increasing. When the axial pressure reaches approximately 3.0 MPa, the mutation of the MRI signal increases, and the enhancement of the MRI signal of the sample is due to the cumulative effect of mutation after aggregation. …”

Data Sheet 3_Experimental study on the correlation between pore evolution characteristics and seepage flow of loaded lignite.xlsx by Xi Zhang (83736)

“…The results show that (1) there are three stages, namely, compression, pore development, and post-peak failure, which promote the development and evolution of medium pore and macropores in lignite. (2) Under uniaxial compression, the permeability of the lignite sample shows a “V-shaped” trend, first decreasing and then increasing. When the axial pressure reaches approximately 3.0 MPa, the mutation of the MRI signal increases, and the enhancement of the MRI signal of the sample is due to the cumulative effect of mutation after aggregation. …”