Showing 5,101 - 5,120 results of 21,342 for search '(( significantly ((larger decrease) OR (mean decrease)) ) OR ( significant decrease decrease ))', query time: 0.47s Refine Results
  1. 5101

    Statistical Table of Formation Loss Rate <i>V1.</i> by Puzhen An (21169189)

    Published 2025
    “…Furthermore, as the coarse particle content rises, the strata loss rate tends to decrease gradually. The final settlement curve, calculated using the method that considers changes in coarse particle content, is closer to the measured values. …”
  2. 5102

    Fitting Results for Each Operating Condition. by Puzhen An (21169189)

    Published 2025
    “…Furthermore, as the coarse particle content rises, the strata loss rate tends to decrease gradually. The final settlement curve, calculated using the method that considers changes in coarse particle content, is closer to the measured values. …”
  3. 5103

    Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

    Published 2025
    “…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”
  4. 5104

    Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

    Published 2025
    “…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”
  5. 5105

    Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

    Published 2025
    “…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”
  6. 5106
  7. 5107

    Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

    Published 2025
    “…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”
  8. 5108
  9. 5109

    Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

    Published 2025
    “…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”
  10. 5110
  11. 5111
  12. 5112

    Mineral component content. by Chuan Li (158692)

    Published 2024
    “…As the temperature increases, the proportion of tensile cracks decreases, while shear cracks become more prevalent. …”
  13. 5113

    Micro-parameters of the numerical model. by Chuan Li (158692)

    Published 2024
    “…As the temperature increases, the proportion of tensile cracks decreases, while shear cracks become more prevalent. …”
  14. 5114

    Microcracks on the surface of the coal sample. by Chuan Li (158692)

    Published 2024
    “…As the temperature increases, the proportion of tensile cracks decreases, while shear cracks become more prevalent. …”
  15. 5115

    Flowchart of the test. by Chuan Li (158692)

    Published 2024
    “…As the temperature increases, the proportion of tensile cracks decreases, while shear cracks become more prevalent. …”
  16. 5116

    Distribution of thermal cracks. by Chuan Li (158692)

    Published 2024
    “…As the temperature increases, the proportion of tensile cracks decreases, while shear cracks become more prevalent. …”
  17. 5117

    S1 File - by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
  18. 5118

    Confusion matrix for ClinicalBERT model. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
  19. 5119

    Confusion matrix for LastBERT model. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
  20. 5120

    Student model architecture. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”