بدائل البحث:
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
greater decrease » greatest decrease (توسيع البحث), greater increase (توسيع البحث), greater disease (توسيع البحث)
teer decrease » mean decrease (توسيع البحث)
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
greater decrease » greatest decrease (توسيع البحث), greater increase (توسيع البحث), greater disease (توسيع البحث)
teer decrease » mean decrease (توسيع البحث)
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1041
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1042
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1043
Measurements of the amount of ATP released by bladder distention and VNUT expression in the bladder.
منشور في 2024الموضوعات: -
1044
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1045
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1046
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1047
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1048
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1049
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1050
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1051
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1052
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1053
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1054
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1055
MXene/Bi<sub>2</sub>O<sub>3</sub> Nanocomposites as Supercapacitors for Portable Electronic Devices
منشور في 2025الموضوعات: -
1056
S1 File -
منشور في 2025"…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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1057
Confusion matrix for ClinicalBERT model.
منشور في 2025"…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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1058
Confusion matrix for LastBERT model.
منشور في 2025"…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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1059
Student model architecture.
منشور في 2025"…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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1060
Configuration of the LastBERT model.
منشور في 2025"…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. …"