Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
levels decreased » levels increased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
levels decreased » levels increased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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Decreased synthesis of VCAM-1, tubulin and dynein proteins in the heart of mice stimulated with EVs (green) or ICs (blue).
Published 2025“…The values represent the mean ± SEM, with significance set at p < 0.05 (*).</p>…”
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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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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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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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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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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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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. …”