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significant values » significant value (Expand Search), significant advances (Expand Search), significant changes (Expand Search)
values increased » cases increased (Expand Search), also increased (Expand Search), rate increased (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
significant values » significant value (Expand Search), significant advances (Expand Search), significant changes (Expand Search)
values increased » cases increased (Expand Search), also increased (Expand Search), rate increased (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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The forest plot shows subgroup of field strength about FA values(A) and ADC values(B).
Published 2022Subjects: -
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Juvenile demyelination leads to a substantial decrease in potassium currents in PV interneurons of the PFC.
Published 2025“…Scale: 500 pA, 100 ms. <b>B</b>. I–V curves showing a significant decrease in Kv amplitude in PV interneurons from mice that underwent juvenile demyelination. …”
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Transcripts with increased translation efficiency during GSC to DGC transition have a significant loss in m6A methylation.
Published 2021“…C) Percent composition of top 30% transcripts with most significant change in TE based on m6A status in individual samples (gain/unchanged/loss). …”
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NDVI values for LULC Classes.
Published 2023“…Of the total measurements of 194.2sq km (2022), normal vegetation cover has decreased significantly from 1992 to 2022 by approximately 65.9%, while urban areas increased by almost 95% simultaneously. …”
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Training steps of the improved YOLOv4-Tiny.
Published 2024“…The results show that in the comparison experiments, the improved micro-miniature fourth-generation real-time target detection algorithm outperforms the traditional target detection algorithm, with the loss value decreasing to 1.54. Its average accuracy in multi-target recognition is dramatically increased to 86.74%, which is 22.36% higher than the original model, and the ping-pong ball recognition experiments show that it has an excellent accuracy in various lighting conditions, especially in low light, with an average accuracy of 89.12%. …”
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