يعرض 2,181 - 2,200 نتائج من 8,689 نتيجة بحث عن 'significant ((((((teer decrease) OR (we decrease))) OR (nn decrease))) OR (mean decrease))', وقت الاستعلام: 0.51s تنقيح النتائج
  1. 2181
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  5. 2185
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  7. 2187
  8. 2188
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  10. 2190

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

    منشور في 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%). …"
  11. 2191

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

    منشور في 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%). …"
  12. 2192

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

    منشور في 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%). …"
  13. 2193

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

    منشور في 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%). …"
  14. 2194

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

    منشور في 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%). …"
  15. 2195
  16. 2196
  17. 2197
  18. 2198

    S1 File - حسب Ahmed Akib Jawad Karim (20427740)

    منشور في 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. 2199

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

    منشور في 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. 2200

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

    منشور في 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. …"