Showing 19,821 - 19,840 results of 21,342 for search '(( significant ((non decrease) OR (a decrease)) ) OR ( significant decrease decrease ))', query time: 0.46s Refine Results
  1. 19821

    Table 3_Genome-wide association study of seedling–plant resistance to stripe rust in bread wheat (Triticum aestivum L.) genotypes.xls by Genet Atsbeha (17595417)

    Published 2025
    “…<p>Fungal diseases, such as stripe rust, are major bottlenecks in Ethiopian wheat production. They can significantly reduce yields and impact regional food security. …”
  2. 19822

    Table 8_Genome-wide association study of seedling–plant resistance to stripe rust in bread wheat (Triticum aestivum L.) genotypes.xlsx by Genet Atsbeha (17595417)

    Published 2025
    “…<p>Fungal diseases, such as stripe rust, are major bottlenecks in Ethiopian wheat production. They can significantly reduce yields and impact regional food security. …”
  3. 19823

    Table 14_Genome-wide association study of seedling–plant resistance to stripe rust in bread wheat (Triticum aestivum L.) genotypes.xlsx by Genet Atsbeha (17595417)

    Published 2025
    “…<p>Fungal diseases, such as stripe rust, are major bottlenecks in Ethiopian wheat production. They can significantly reduce yields and impact regional food security. …”
  4. 19824

    C2f and BC2f module structure diagrams. by Yaojun Zhang (389482)

    Published 2025
    “…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%. …”
  5. 19825

    YOLOv8n detection results diagram. by Yaojun Zhang (389482)

    Published 2025
    “…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%. …”
  6. 19826

    YOLOv8n-BWG model structure diagram. by Yaojun Zhang (389482)

    Published 2025
    “…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%. …”
  7. 19827

    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)

    Published 2025
    “…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). …”
  8. 19828

    data.zip by Zhizhang Dong (21158474)

    Published 2025
    “…Compared with the control group, the thickness of retina in the experimental group was significantly reduced (t=5, P=0.0075), the number of retinal pigment epithelium was statistically decreased (t=4.243, P=0.0132), and the pyrolytic related proteins NLRP3, Caspase-1, GSDMD, IL-1β and IL-18 were strongly red positive in retinal pigment epithelium (P<0.05). …”
  9. 19829

    BiFormer structure diagram. by Yaojun Zhang (389482)

    Published 2025
    “…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%. …”
  10. 19830

    DataSheet1_Case report: Comprehensive clinical, pathological and genetic investigations to decipher the background of cyclic thrombocytopenia.pdf by Zsófia Flóra Nagy (19758660)

    Published 2024
    “…Whole exome sequencing revealed a heterozygous missense variant of uncertain significance in the SERPINC1 gene, which has been associated with hereditary antithrombin deficiency. …”
  11. 19831

    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)

    Published 2025
    “…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. …”
  12. 19832

    Image 1_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)

    Published 2025
    “…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). …”
  13. 19833

    YOLOv8n-BWG detection results diagram. by Yaojun Zhang (389482)

    Published 2025
    “…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%. …”
  14. 19834

    Table 1_Deletion of the GntR8 transcriptional regulator impairs Brucella abortus intracellular survival and virulence by modulating stress response genes.xlsx by Shuwen Li (5058398)

    Published 2025
    “…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. …”
  15. 19835

    Data from: Decade-long bird trends in China: Stable species richness but increasing biotic homogenization by Jiekun He (20964269)

    Published 2025
    “…Taxonomic multiple-site beta diversity decreased over time (P < 0.01), indicating a trend towards biotic homogenization. …”
  16. 19836

    GSConv module structure diagram. by Yaojun Zhang (389482)

    Published 2025
    “…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%. …”
  17. 19837

    DC parameters. by Kai Wen (261662)

    Published 2025
    “…The results show that the system can effectively recover waste heat from the DC, significantly reducing cooling electricity consumption during the heating season and decreasing original heating steam consumption by about 25%. …”
  18. 19838

    Performance comparison of three loss functions. by Yaojun Zhang (389482)

    Published 2025
    “…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%. …”
  19. 19839

    mAP0.5 Curves of various models. by Yaojun Zhang (389482)

    Published 2025
    “…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%. …”
  20. 19840

    Network loss function change diagram. by Yaojun Zhang (389482)

    Published 2025
    “…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%. …”