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significant advances » significant advantages (Expand Search), significantly advanced (Expand Search), significant advancements (Expand Search)
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significant advances » significant advantages (Expand Search), significantly advanced (Expand Search), significant advancements (Expand Search)
advances decrease » advanced disease (Expand Search), advanced defense (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
level decrease » levels decreased (Expand Search), level increased (Expand Search), teer decrease (Expand Search)
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Top-level overview for ADHD classification study.
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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S1 File -
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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Confusion matrix for ClinicalBERT model.
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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Confusion matrix for LastBERT model.
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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5
Student model architecture.
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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6
Configuration of the LastBERT model.
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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Confusion matrix for DistilBERT model.
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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8
ROC curve for LastBERT model.
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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9
Sample Posts from the ADHD dataset.
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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S1 Data -
Published 2024“…Significant increases (<i>P</i> < 0.05) in primary anti-NDV titers, serum GPx1 activity, and Nrf2 and GPx1 gene expression levels were also detected in the ACTM100, ITM+ACTM12.5, and ITM+ACTM25 groups. …”
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Alpha diversity index table.
Published 2025“…Microbial communities under I2 (PCo1 = 11.13%) showed greater homogeneity while preserving treatment-specific patterns, suggesting slight deficit irrigation balances stability and functional differentiation. …”
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14
ASV species taxonomic information sheet.
Published 2025“…Microbial communities under I2 (PCo1 = 11.13%) showed greater homogeneity while preserving treatment-specific patterns, suggesting slight deficit irrigation balances stability and functional differentiation. …”
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Effective sequence statistics table.
Published 2025“…Microbial communities under I2 (PCo1 = 11.13%) showed greater homogeneity while preserving treatment-specific patterns, suggesting slight deficit irrigation balances stability and functional differentiation. …”
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Table 2_Cost-effectiveness of the 3E model in diabetes management: a machine learning approach to assess long-term economic impact.docx
Published 2025“…</p>Results<p>The 3E model demonstrated significant cost reductions, with the intervention group achieving a 74.3% decrease in total costs compared to 41.8% in the control group while maintaining the same level of glycemic control. …”
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Table 1_Cost-effectiveness of the 3E model in diabetes management: a machine learning approach to assess long-term economic impact.xlsx
Published 2025“…</p>Results<p>The 3E model demonstrated significant cost reductions, with the intervention group achieving a 74.3% decrease in total costs compared to 41.8% in the control group while maintaining the same level of glycemic control. …”
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Data Sheet 1_Successional patterns of microbial communities across various stages of leaf litter decomposition in poplar plantations.pdf
Published 2025“…</p>Results<p>The microbial community structure and composition exhibited significant differences at both the class and genus levels throughout the entire decomposition process. …”
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Integrated bioinformatic and experimental study links cyclin B1/B2 to poor prognosis and immune infiltration in endometrial cancer
Published 2025“…In TCGA cohort, high expression of CCNB1/CCNB2 correlated with greater disease severity and predicted poor prognosis. …”