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%. …”

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%. …”

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%. …”

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%. …”

General participant characteristics. by Josephine Grandt (21512356)

“…GOBP analyses revealed an increase in pro-inflammatory and pro-fibrotic genes in NAFLD and cirrhosis, as well as a decrease in genes related to metabolism. …”

Initial assessment of βHB treatment effects. by Noam H. Sander (13977976)

“…This increase was significantly reduced in the βHB group (p = 0.0210). …”

Changes in the separation and spread of evidence distributions induced by energy, contrast, and variability manipulations. by Medha Shekhar (19502698)

“…For all experiments, increasing energy and contrast levels increases the separation between the two stimulus categories, while increasing variability decreases the separability between the two stimulus categories. …”

Table 1_Age-related lung structure changes by quantitative assessment: a cross-sectional study in a Chinese male cohort.docx by Meijuan Shi (16999551)

“…The LV of bilateral upper lobes increased with age, while a decline of LV of bilateral lower lobes was observed since the sixties. …”

Supplementary file 1_Effects of a personalized PERMA-based intervention on the mental health of junior high school students: a randomized clinical trial.docx by Lei Zhang (38117)

“…No significant changes were observed in coping styles, though slight improvements in positive coping tendency (from −0.02 to −0.13) and a slight decrease in negative coping tendency (from −0.02 to −0.01).…”

Figure 4 from Claudin-4 Modulates Autophagy via SLC1A5/LAT1 as a Mechanism to Regulate Micronuclei by Fabian R. Villagomez (18098633)

“…It also indicates the corresponding mean fold change in the (top) of circles, (red and green; red indicates decreased while greed indicates increase of metabolites). …”

Table 1_Bifidobacterium compound preparations as a supplementary treatment for severe ischemic stroke: a systematic review and meta-analysis.docx by Shenghua Lu (20762612)

“…Regarding immune function, the BCP combination group significantly increased IgA (MD = 0.50, 95% CI 0.36 to 0.63, p < 0.00001) and IgG (MD = 3.00, 95% CI 2.03 to 3.97, p < 0.00001). …”

Effect of SBS on rumen fermentation (n = 5). by Minghui Zhang (298745)

“…The pre-experimental period was 10 days, followed by a 70 days formal experimental period. The results showed that: (1) Compared with the CON group, the dressing percentage and eye muscle area in the SBS24 group significantly increased (<i>P</i> < 0.05); (2) Compared with the CON group, the butyrate content and total fatty acid content inthe SBS24 group significantly increased (<i>P</i> < 0.05); (3) Compared with the CON group, the Simpson index of the SBS groups significantly increased (<i>P</i> < 0.05), while the Shannon index of the SBS12, SBS18, and SBS24 groups significantly decreased (<i>P</i> < 0.01). …”

Classification of bioactive substances in SBS. by Minghui Zhang (298745)

“…The pre-experimental period was 10 days, followed by a 70 days formal experimental period. The results showed that: (1) Compared with the CON group, the dressing percentage and eye muscle area in the SBS24 group significantly increased (<i>P</i> < 0.05); (2) Compared with the CON group, the butyrate content and total fatty acid content inthe SBS24 group significantly increased (<i>P</i> < 0.05); (3) Compared with the CON group, the Simpson index of the SBS groups significantly increased (<i>P</i> < 0.05), while the Shannon index of the SBS12, SBS18, and SBS24 groups significantly decreased (<i>P</i> < 0.01). …”

OTU venn diagram. by Minghui Zhang (298745)

“…The pre-experimental period was 10 days, followed by a 70 days formal experimental period. The results showed that: (1) Compared with the CON group, the dressing percentage and eye muscle area in the SBS24 group significantly increased (<i>P</i> < 0.05); (2) Compared with the CON group, the butyrate content and total fatty acid content inthe SBS24 group significantly increased (<i>P</i> < 0.05); (3) Compared with the CON group, the Simpson index of the SBS groups significantly increased (<i>P</i> < 0.05), while the Shannon index of the SBS12, SBS18, and SBS24 groups significantly decreased (<i>P</i> < 0.01). …”