Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
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5001
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5002
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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5003
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5004
Mineral component content.
Published 2024“…As the temperature increases, the proportion of tensile cracks decreases, while shear cracks become more prevalent. …”
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5005
Micro-parameters of the numerical model.
Published 2024“…As the temperature increases, the proportion of tensile cracks decreases, while shear cracks become more prevalent. …”
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5006
Microcracks on the surface of the coal sample.
Published 2024“…As the temperature increases, the proportion of tensile cracks decreases, while shear cracks become more prevalent. …”
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5007
Flowchart of the test.
Published 2024“…As the temperature increases, the proportion of tensile cracks decreases, while shear cracks become more prevalent. …”
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5008
Distribution of thermal cracks.
Published 2024“…As the temperature increases, the proportion of tensile cracks decreases, while shear cracks become more prevalent. …”
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5009
S1 File -
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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5010
Confusion matrix for ClinicalBERT 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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5011
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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5012
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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5013
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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5014
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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5015
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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5016
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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5017
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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5018
Seasonal spatial-temporal trend of NDVI of burned forested areas in Africa (2001–2020).
Published 2025“…<p>Areas with increasing (green) or decreasing (red) vegetation, based on the Mann-Kendall test and statistically significance values (<i>p</i> < 0.05) for DJF (December-February), MAM (March-May), JJA (June-August) and SON (September-November). …”
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5019
Seasonal spatial-temporal trend of NDVI of burned forested areas in Africa (2001–2020) for the two hemispheres.
Published 2025“…<p>Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically significance (<i>p</i> < 0.05) and non-significant (<i>p</i> > 0.05) values. …”
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5020
Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020).
Published 2025“…<p>Areas with increasing (green) or decreasing (red) vegetation, based on the Mann-Kendall test and statistically significance values (<i>p</i> < 0.05) for DJF (December-February), MAM (March-May), JJA (June-August), and SON (September-November). …”