Table9_Dynamics of flavonoid metabolites in coconut water based on metabolomics perspective.xlsx by Mingming Hou (11341656)

“…The total flavonoid content in both types of coconut water exhibited a decreasing trend with developmental progression, but the total flavonoid content in CK was significantly higher than that in W5. …”

Table7_Dynamics of flavonoid metabolites in coconut water based on metabolomics perspective.xlsx by Mingming Hou (11341656)

“…The total flavonoid content in both types of coconut water exhibited a decreasing trend with developmental progression, but the total flavonoid content in CK was significantly higher than that in W5. …”

Table6_Dynamics of flavonoid metabolites in coconut water based on metabolomics perspective.xlsx by Mingming Hou (11341656)

“…The total flavonoid content in both types of coconut water exhibited a decreasing trend with developmental progression, but the total flavonoid content in CK was significantly higher than that in W5. …”

Image2_Dynamics of flavonoid metabolites in coconut water based on metabolomics perspective.png by Mingming Hou (11341656)

“…The total flavonoid content in both types of coconut water exhibited a decreasing trend with developmental progression, but the total flavonoid content in CK was significantly higher than that in W5. …”

Table3_Dynamics of flavonoid metabolites in coconut water based on metabolomics perspective.xlsx by Mingming Hou (11341656)

“…The total flavonoid content in both types of coconut water exhibited a decreasing trend with developmental progression, but the total flavonoid content in CK was significantly higher than that in W5. …”

Table5_Dynamics of flavonoid metabolites in coconut water based on metabolomics perspective.xlsx by Mingming Hou (11341656)

“…The total flavonoid content in both types of coconut water exhibited a decreasing trend with developmental progression, but the total flavonoid content in CK was significantly higher than that in W5. …”

Table4_Dynamics of flavonoid metabolites in coconut water based on metabolomics perspective.xlsx by Mingming Hou (11341656)

“…The total flavonoid content in both types of coconut water exhibited a decreasing trend with developmental progression, but the total flavonoid content in CK was significantly higher than that in W5. …”

Table 4_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…Immune Microenvironment Profiling linked key genes to altered placental immune cell populations. qRT-PCR confirmed that GLUL and NCL expression decreased and DDX28 and RIOK1 expression increased in clinical placental samples of preeclampsia group.…”

Table 5_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…Immune Microenvironment Profiling linked key genes to altered placental immune cell populations. qRT-PCR confirmed that GLUL and NCL expression decreased and DDX28 and RIOK1 expression increased in clinical placental samples of preeclampsia group.…”

Table 2_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…Immune Microenvironment Profiling linked key genes to altered placental immune cell populations. qRT-PCR confirmed that GLUL and NCL expression decreased and DDX28 and RIOK1 expression increased in clinical placental samples of preeclampsia group.…”

Table 3_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…Immune Microenvironment Profiling linked key genes to altered placental immune cell populations. qRT-PCR confirmed that GLUL and NCL expression decreased and DDX28 and RIOK1 expression increased in clinical placental samples of preeclampsia group.…”

Supporting data for “<b>Human Lipocalin-2 Variants: Therapeutic Evaluations</b>” by Haoyun Li (9151469)

“…</p><p dir="ltr">Following a high-fat diet, our findings demonstrated that C87A levels were significantly elevated in cardiac and epididymal white adipose tissue (eWAT). …”

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%. …”

Image 2_Modulation of fenestrated vasculature in the median eminence and area postrema in response to neurotoxin exposure and its impairment in aging.tif by Viana Q. Pham (22081163)

“…In this study, we show that fenestrated capillaries in the median eminence (ME) and area postrema (AP)—two distinct circumventricular organs critical for metabolic control—undergo differential remodeling when exposed to circulating monosodium glutamate (MSG), a BBB-impermeable neurotoxin. Upon MSG exposure, fenestrated capillaries and vascular permeability were decreased in the ME but increased in the AP, and these changes were closely associated with the expression of angiogenic factors pleiotrophin (Ptn) and vascular endothelial growth factor A (Vegfa). …”

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%. …”

Table 2_Deletion of the GntR8 transcriptional regulator impairs Brucella abortus intracellular survival and virulence by modulating stress response genes.docx by Shuwen Li (5058398)

“…The results demonstrate that deletion of gntR8 markedly impairs intracellular survival of B. abortus in RAW264.7 cells and significantly reduces virulence in a mouse infection model. …”

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%. …”