Search alternatives:
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
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1241
Confusion matrix for LastBERT model.
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. …”
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1242
Student model architecture.
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. …”
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1243
Configuration of the LastBERT model.
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. …”
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1244
Confusion matrix for DistilBERT model.
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. …”
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1245
ROC curve for LastBERT model.
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. …”
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1246
Sample Posts from the ADHD dataset.
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. …”
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1247
Top-level overview for ADHD classification study.
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. …”
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1248
Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane
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%). …”
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1249
Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane
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%). …”
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1250
Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane
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%). …”
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1251
Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane
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%). …”
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1252
Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane
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%). …”
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1253
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1254
Negative Intrinsic Viscosity in Graphene Nanoparticle Suspensions Induced by Hydrodynamic Slip
Published 2025“…As the concentration of graphene particles increases in the dilute regime, the viscosity initially decreases, falling below that of pure water. At higher concentrations, however, particle aggregation becomes significant, leading to a rise in viscosity after a minimum is reached. …”
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1255
Negative Intrinsic Viscosity in Graphene Nanoparticle Suspensions Induced by Hydrodynamic Slip
Published 2025“…As the concentration of graphene particles increases in the dilute regime, the viscosity initially decreases, falling below that of pure water. At higher concentrations, however, particle aggregation becomes significant, leading to a rise in viscosity after a minimum is reached. …”
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1256
Results from Ordinary Least Squares (OLS).
Published 2025“…., coal and gas, on environmental sustainability by utilizing CO2 emissions as a proxy to emphasize Environmental, Social, and Governance (ESG) practices in the electricity supply company of Malaysia. To do so, we collect time series data from Tenaga Nasional Berhad (TNB) Sustainability Reports spanning 2016–2021. …”
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1257
Correlation Matrix.
Published 2025“…., coal and gas, on environmental sustainability by utilizing CO2 emissions as a proxy to emphasize Environmental, Social, and Governance (ESG) practices in the electricity supply company of Malaysia. To do so, we collect time series data from Tenaga Nasional Berhad (TNB) Sustainability Reports spanning 2016–2021. …”
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1258
Multicollinearity Test.
Published 2025“…., coal and gas, on environmental sustainability by utilizing CO2 emissions as a proxy to emphasize Environmental, Social, and Governance (ESG) practices in the electricity supply company of Malaysia. To do so, we collect time series data from Tenaga Nasional Berhad (TNB) Sustainability Reports spanning 2016–2021. …”
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1259
Descriptive Statistics.
Published 2025“…., coal and gas, on environmental sustainability by utilizing CO2 emissions as a proxy to emphasize Environmental, Social, and Governance (ESG) practices in the electricity supply company of Malaysia. To do so, we collect time series data from Tenaga Nasional Berhad (TNB) Sustainability Reports spanning 2016–2021. …”
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1260