Showing 6,921 - 6,940 results of 18,480 for search 'significantly ((((linear decrease) OR (a decrease))) OR (((greatest decrease) OR (mean decrease))))', query time: 0.41s Refine Results
  1. 6921

    Enhanced dataset sample images. 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%. …”
  2. 6922

    Table 1_Microplastics in focus: a silent disruptor of liver health- a systematic review.docx by Zahra Beyzaei (9911886)

    Published 2025
    “…Six investigations using pluripotent-stem-cell-derived liver organoids confirmed and expanded upon these findings, demonstrating that both pristine and aged PS-MPs (1–10 µm) disrupt sulfur amino acid and iron homeostasis (e.g., increased serum cysteine, decreased hepatic cysteine, and disturbed homocysteine metabolism), impair mitochondrial bioenergetics, and lead to significant lipid accumulation after exposures lasting up to 500 h. …”
  3. 6923

    Test materials and test methods. by Yao Long (1604773)

    Published 2025
    “…As the BF content increases, the UCS and peak deviatoric stress exhibit an initial increase followed by a decrease. At the optimal BF dosage of 6‰, the UCS improved 24.48% ~ 25.40%, while the peak deviatoric stress improved 31.13% ~ 39.48%. …”
  4. 6924

    Proportions of test specimens. by Yao Long (1604773)

    Published 2025
    “…As the BF content increases, the UCS and peak deviatoric stress exhibit an initial increase followed by a decrease. At the optimal BF dosage of 6‰, the UCS improved 24.48% ~ 25.40%, while the peak deviatoric stress improved 31.13% ~ 39.48%. …”
  5. 6925

    Basic physical properties of red sandstone soil. by Yao Long (1604773)

    Published 2025
    “…As the BF content increases, the UCS and peak deviatoric stress exhibit an initial increase followed by a decrease. At the optimal BF dosage of 6‰, the UCS improved 24.48% ~ 25.40%, while the peak deviatoric stress improved 31.13% ~ 39.48%. …”
  6. 6926

    Main performance indicators of BF. by Yao Long (1604773)

    Published 2025
    “…As the BF content increases, the UCS and peak deviatoric stress exhibit an initial increase followed by a decrease. At the optimal BF dosage of 6‰, the UCS improved 24.48% ~ 25.40%, while the peak deviatoric stress improved 31.13% ~ 39.48%. …”
  7. 6927

    Technical parameters of cement. by Yao Long (1604773)

    Published 2025
    “…As the BF content increases, the UCS and peak deviatoric stress exhibit an initial increase followed by a decrease. At the optimal BF dosage of 6‰, the UCS improved 24.48% ~ 25.40%, while the peak deviatoric stress improved 31.13% ~ 39.48%. …”
  8. 6928

    Particle composition of red sandstone soil. by Yao Long (1604773)

    Published 2025
    “…As the BF content increases, the UCS and peak deviatoric stress exhibit an initial increase followed by a decrease. At the optimal BF dosage of 6‰, the UCS improved 24.48% ~ 25.40%, while the peak deviatoric stress improved 31.13% ~ 39.48%. …”
  9. 6929
  10. 6930
  11. 6931

    SEM image of C4BF6 specimen. by Yao Long (1604773)

    Published 2025
    “…As the BF content increases, the UCS and peak deviatoric stress exhibit an initial increase followed by a decrease. At the optimal BF dosage of 6‰, the UCS improved 24.48% ~ 25.40%, while the peak deviatoric stress improved 31.13% ~ 39.48%. …”
  12. 6932
  13. 6933

    <b> </b> Energy efficiency and gas volume comparison. by Ning Zuo (17295415)

    Published 2025
    “…<div><p>Biogas energy derived from recycled algal biomass grown on wastewater could provide a sustainable pathway for a renewable future. This research investigates the chemical details of cobalt-catalysed pyrolysis integrated with methanogenic archaea co-anaerobic fermentation to improve biogas and methane generation from wastewater algae. …”
  14. 6934

    Model validation of kinetic parameters. by Ning Zuo (17295415)

    Published 2025
    “…<div><p>Biogas energy derived from recycled algal biomass grown on wastewater could provide a sustainable pathway for a renewable future. This research investigates the chemical details of cobalt-catalysed pyrolysis integrated with methanogenic archaea co-anaerobic fermentation to improve biogas and methane generation from wastewater algae. …”
  15. 6935
  16. 6936

    Navigation error analysis. by Haichao Li (225035)

    Published 2025
    “…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”
  17. 6937

    Summary of related works. by Haichao Li (225035)

    Published 2025
    “…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”
  18. 6938

    Research methodology flow diagram. by Haichao Li (225035)

    Published 2025
    “…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”
  19. 6939

    Positioning error analysis. by Haichao Li (225035)

    Published 2025
    “…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”
  20. 6940

    Error-Bar graph. by Haichao Li (225035)

    Published 2025
    “…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”