Image 7_Interleukin-6/soluble IL-6 receptor-induced secretion of cathepsin B and L from human gingival fibroblasts is regulated by caveolin-1 and ERK1/2 pathways.tiff by Ayaka Goto (20858771)

“…Extracellular cathepsin activity following IL-6/sIL-6R stimulation was assessed using a methylcoumarylamide substrate in a fluorescence-based assay. …”

Image 9_Interleukin-6/soluble IL-6 receptor-induced secretion of cathepsin B and L from human gingival fibroblasts is regulated by caveolin-1 and ERK1/2 pathways.tiff by Ayaka Goto (20858771)

“…Extracellular cathepsin activity following IL-6/sIL-6R stimulation was assessed using a methylcoumarylamide substrate in a fluorescence-based assay. …”

Image 8_Interleukin-6/soluble IL-6 receptor-induced secretion of cathepsin B and L from human gingival fibroblasts is regulated by caveolin-1 and ERK1/2 pathways.tiff by Ayaka Goto (20858771)

“…Extracellular cathepsin activity following IL-6/sIL-6R stimulation was assessed using a methylcoumarylamide substrate in a fluorescence-based assay. …”

Image 2_Interleukin-6/soluble IL-6 receptor-induced secretion of cathepsin B and L from human gingival fibroblasts is regulated by caveolin-1 and ERK1/2 pathways.tiff by Ayaka Goto (20858771)

“…Extracellular cathepsin activity following IL-6/sIL-6R stimulation was assessed using a methylcoumarylamide substrate in a fluorescence-based assay. …”

Image 5_Interleukin-6/soluble IL-6 receptor-induced secretion of cathepsin B and L from human gingival fibroblasts is regulated by caveolin-1 and ERK1/2 pathways.tiff by Ayaka Goto (20858771)

“…Extracellular cathepsin activity following IL-6/sIL-6R stimulation was assessed using a methylcoumarylamide substrate in a fluorescence-based assay. …”

Table 1_Elevated miR-17-5p facilitates mycobacterial immune evasion by targeting MAP3K2 in macrophages.doc by Md Shoykot Jahan (22776341)

“…This study investigated the role of miR-17-5p in macrophage-mediated immune responses during M. avium infection, with a focus on MAP3K2-mediated MAPK signaling.</p>Methods<p>Differentially expressed miRNAs were identified through small RNA sequencing of exosomes from M. avium-infected THP-1 macrophages. …”

Table 4_Elevated miR-17-5p facilitates mycobacterial immune evasion by targeting MAP3K2 in macrophages.doc by Md Shoykot Jahan (22776341)

“…This study investigated the role of miR-17-5p in macrophage-mediated immune responses during M. avium infection, with a focus on MAP3K2-mediated MAPK signaling.</p>Methods<p>Differentially expressed miRNAs were identified through small RNA sequencing of exosomes from M. avium-infected THP-1 macrophages. …”

Table 3_Elevated miR-17-5p facilitates mycobacterial immune evasion by targeting MAP3K2 in macrophages.doc by Md Shoykot Jahan (22776341)

“…This study investigated the role of miR-17-5p in macrophage-mediated immune responses during M. avium infection, with a focus on MAP3K2-mediated MAPK signaling.</p>Methods<p>Differentially expressed miRNAs were identified through small RNA sequencing of exosomes from M. avium-infected THP-1 macrophages. …”

Table 2_Elevated miR-17-5p facilitates mycobacterial immune evasion by targeting MAP3K2 in macrophages.doc by Md Shoykot Jahan (22776341)

“…This study investigated the role of miR-17-5p in macrophage-mediated immune responses during M. avium infection, with a focus on MAP3K2-mediated MAPK signaling.</p>Methods<p>Differentially expressed miRNAs were identified through small RNA sequencing of exosomes from M. avium-infected THP-1 macrophages. …”

Image 1_Elevated miR-17-5p facilitates mycobacterial immune evasion by targeting MAP3K2 in macrophages.jpeg by Md Shoykot Jahan (22776341)

“…This study investigated the role of miR-17-5p in macrophage-mediated immune responses during M. avium infection, with a focus on MAP3K2-mediated MAPK signaling.</p>Methods<p>Differentially expressed miRNAs were identified through small RNA sequencing of exosomes from M. avium-infected THP-1 macrophages. …”

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%. …”

C2f and BC2f module structure diagrams. 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%. …”

YOLOv8n detection results 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%. …”

YOLOv8n-BWG model 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%. …”

BiFormer 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%. …”

YOLOv8n-BWG detection results 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%. …”

GSConv module 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%. …”

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%. …”