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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
linear decrease » linear increase (Expand Search)
decrease based » disease based (Expand Search)
mean decrease » a decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
linear decrease » linear increase (Expand Search)
decrease based » disease based (Expand Search)
mean decrease » a decrease (Expand Search)
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Table_1_Decreased Serum Brain-Derived Neurotrophic Factor Concentrations 72 Hours Following Marathon Running.DOCX
Published 2021“…</p><p>Conclusion: Prolonged exercise induces a significant decrease in serum BDNF concentration 72 h post-exercise. …”
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<i>NAB3</i> reduces the level of <i>IMD2</i> CUT terminator readthrough product from a reporter and native <i>IMD2</i> CUT and readthrough RNA, but <i>NAB3</i> does not significant...
Published 2015“…Statistical significance of differences in mean Pol II occupancy values was determined using unpaired <i>t</i> test and significant differences in mean values (<i>p</i>-value ≤ 0.05) are denoted with asterisks. …”
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Meaning of Each Model.
Published 2025“…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …”
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Detailed information of the observation datasets.
Published 2025“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
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General technical specification for GW154/6700.
Published 2025“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
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