Showing 641 - 660 results of 1,240 for search '(( significant decrease decrease ) OR ( significant linear decrease ))~', query time: 0.30s Refine Results
  1. 641
  2. 642

    Flow chart of research object screening. by Wenyao Xie (21567889)

    Published 2025
    “…Estradiol exhibited significant non-linear relationship with ALI (P = 0.027), with multiple inflection points suggesting concentration-dependent effects.…”
  3. 643

    Navigation error analysis. by Haichao Li (225035)

    Published 2025
    “…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”
  4. 644

    Summary of related works. by Haichao Li (225035)

    Published 2025
    “…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”
  5. 645

    Research methodology flow diagram. by Haichao Li (225035)

    Published 2025
    “…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”
  6. 646

    Positioning error analysis. by Haichao Li (225035)

    Published 2025
    “…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”
  7. 647

    Error-Bar graph. by Haichao Li (225035)

    Published 2025
    “…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”
  8. 648

    A Hydrate-Bearing Sediment Gas Replacement Mechanical Behavior Regulation Mechanism and Slope Stability Analysis by Lei Huang (35191)

    Published 2025
    “…As saturation increases, the Γ value of the critical state line decreases, while the λ value increases. (3) For slope simulations, increased hydrate saturation significantly raises the safety factor for gentler slopes, while the reinforcing effect of gas replacement is weaker for steeper slopes with higher saturation.…”
  9. 649

    A Hydrate-Bearing Sediment Gas Replacement Mechanical Behavior Regulation Mechanism and Slope Stability Analysis by Lei Huang (35191)

    Published 2025
    “…As saturation increases, the Γ value of the critical state line decreases, while the λ value increases. (3) For slope simulations, increased hydrate saturation significantly raises the safety factor for gentler slopes, while the reinforcing effect of gas replacement is weaker for steeper slopes with higher saturation.…”
  10. 650

    Experimental and Numerical Investigations of Soot Formation in the Laminar to Turbulent Transition of an Acetylene Diffusion Flame by Shijun Chen (835302)

    Published 2025
    “…Results from different regimes indicate the following: (1) In the laminar state, <i>ṁ</i><sub>soot</sub> increased linearly with <i>Re</i>, with a growth rate positively correlated with the tube diameter. (2) After entering the transitional state, <i>ṁ</i><sub>soot</sub> decreased exponentially by over 95%; <i>T</i> gradually increased by 150 K; and both SPL and the standard deviation of <i>T</i> (σ<sub><i>T</i></sub>) initially rose and then declined. (3) After entering the fully turbulent state, SPL increased again whereas σ<sub><i>T</i></sub> stabilized at 14. …”
  11. 651

    Differences in magnitude and velocity of decay of the different compartments of the viral reservoir. by Maria C. Puertas (8801768)

    Published 2025
    “…<p>A. The overall decrease in each fraction of the viral reservoir during the first year after ART initiation is expressed as the ratio of week 48 to baseline values. …”
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  13. 653
  14. 654

    Mexican warning label system. by Claudia Calderon (266352)

    Published 2024
    “…Similarly, the FOPWL decreased the perceived healthiness of both nectar with “excess sugars” and nectar with NNS. …”
  15. 655

    S1 Dataset - by Claudia Calderon (266352)

    Published 2024
    “…Similarly, the FOPWL decreased the perceived healthiness of both nectar with “excess sugars” and nectar with NNS. …”
  16. 656

    Images with FOPWL by time of data collection. by Claudia Calderon (266352)

    Published 2024
    “…Similarly, the FOPWL decreased the perceived healthiness of both nectar with “excess sugars” and nectar with NNS. …”
  17. 657

    LSTM model. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
  18. 658

    CNN model. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
  19. 659

    Ceramic bearings. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
  20. 660

    Geometric contact arc length model. by Longfei Gao (698900)

    Published 2025
    “…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”