يعرض 18,001 - 18,020 نتائج من 18,038 نتيجة بحث عن 'significantly ((((((we decrease) OR (largest decrease))) OR (teer decrease))) OR (a decrease))', وقت الاستعلام: 0.61s تنقيح النتائج
  1. 18001

    Pattern indices of landscape levels. حسب Chao Ma (207385)

    منشور في 2025
    "…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …"
  2. 18002

    Table 1_MicroRNA-27b alleviates septic cardiomyopathy by targeting the Mff/MAVS axis.docx حسب Xincai Wang (7819064)

    منشور في 2025
    "…</p>Results<p>Bioinformatics analysis revealed significant downregulation of miR-27b in SCM cardiac tissues (log2FC=-3.9, P<0.001). …"
  3. 18003

    Striking image. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  4. 18004

    Flow chart. حسب Aysenur Karakus (21192337)

    منشور في 2025
    "…Both TTH and migraine groups received PRT twice a week for six weeks,</p><p>Results</p><p>Within-group comparisons showed significant decreases in attack frequency, VAS, HIT-6, PCS, and WHODAS-II scores in both groups post-intervention (p<0.001). …"
  5. 18005

    Precision, recall, F1-Score curve. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  6. 18006

    Model comparison experimental results. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  7. 18007

    Slicing aided hyper inference algorithm. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  8. 18008

    Microbiome-host genetic association. حسب Tamizhini Loganathan (18538349)

    منشور في 2025
    "…Core microbiome and correlation analysis at the phylum and genus levels identified significant microbiota. Specifically, the abundance of genera such as <i>Pseudomonas</i> and <i>Akkermansia</i> decreased, while <i>Ruminococcus</i> and <i>Allistipes</i> increased, as determined by statistical and machine learning approaches. …"
  9. 18009

    Summary description of the samples. حسب Tamizhini Loganathan (18538349)

    منشور في 2025
    "…Core microbiome and correlation analysis at the phylum and genus levels identified significant microbiota. Specifically, the abundance of genera such as <i>Pseudomonas</i> and <i>Akkermansia</i> decreased, while <i>Ruminococcus</i> and <i>Allistipes</i> increased, as determined by statistical and machine learning approaches. …"
  10. 18010

    Improved YOLOv10 network structure. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  11. 18011

    Loss function variation curve. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  12. 18012

    Type level landscape index changes in 1990-2020. حسب Chao Ma (207385)

    منشور في 2025
    "…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …"
  13. 18013

    Location map of the study area. حسب Chao Ma (207385)

    منشور في 2025
    "…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …"
  14. 18014

    Different model detection results comparison. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  15. 18015

    Data source. حسب Chao Ma (207385)

    منشور في 2025
    "…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …"
  16. 18016

    Research Technology Flow Chart. حسب Chao Ma (207385)

    منشور في 2025
    "…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …"
  17. 18017

    Inner-IoU. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  18. 18018

    PbCBP-O is required for efficient midgut traversal. حسب Dominika Kwecka (22170493)

    منشور في 2025
    "…<p><b>(A)</b> PbΔCBP-O ookinetes show regular motility. …"
  19. 18019

    Data Sheet 1_Characteristics of cardiopulmonary exercise capacity in adults with different degrees of obesity.pdf حسب Shukun Deng (20583833)

    منشور في 2025
    "…</p>Conclusion<p>With the aggravation of obesity, the maximum exercise ability of adults decreases, VO<sub>2peak</sub>/kg and VO<sub>2</sub>/HR<sub>max</sub>%Pred decreases, and the breathing reserve decreases.…"
  20. 18020

    Table 1_Hemerocallis citrina Baroni leaf total phenol alleviates depressive-like behaviors via modulating “microbiota-gut-brain” axis in chronic unpredictable mild stress -induced... حسب Yanping Wang (275956)

    منشور في 2025
    "…</p>Methods<p>In this study, the chronic unpredictable mild stress (CUMS) method was used to establish a rat model of depression to investigate the ameliorative effects of HLTP on depression.…"