Search alternatives:
significant interaction » significant reduction (Expand Search), significant attention (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
interaction dataset » interaction data (Expand Search), detection dataset (Expand Search), interaction test (Expand Search)
significant interaction » significant reduction (Expand Search), significant attention (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
interaction dataset » interaction data (Expand Search), detection dataset (Expand Search), interaction test (Expand Search)
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DataSheet1_Pharmacological inhibition of receptor protein tyrosine phosphatase β/ζ decreases Aβ plaques and neuroinflammation in the hippocampus of APP/PS1 mice.docx
Published 2024“…In addition, we observed a significant decrease in the number and size of astrocytes in both sexes and in the number of microglial cells in a sex-dependent manner. …”
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Significant inter-relationships between baseline variables and MSCC or MCS.
Published 2025Subjects: -
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Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.
Published 2024“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”
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Autophagy significantly influences the apoptotic levels of RGCs in glaucomatous mouse eyes.
Published 2024Subjects: -
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Comparison of questionnaire scores among genotypes for the significant associations.
Published 2025Subjects: -
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Interaction summary plot.
Published 2025“…Experiments conducted on real-world datasets demonstrate that AMFormer outperforms both other deep learning models and traditional approaches, achieving an accuracy of 93.46% and an F1-Score of 93%. …”
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