Search alternatives:
significant barrier » significant burden (Expand Search)
barrier based » carrier based (Expand Search), barrier layer (Expand Search)
non decrease » point decrease (Expand Search), note decreased (Expand Search), fold decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
significant barrier » significant burden (Expand Search)
barrier based » carrier based (Expand Search), barrier layer (Expand Search)
non decrease » point decrease (Expand Search), note decreased (Expand Search), fold decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
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Selection of final barriers based on significance.
Published 2024“…<p>Selection of final barriers based on significance.</p>…”
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Significance of ADRs related barriers based on demographic characteristics.
Published 2022“…<p>Significance of ADRs related barriers based on demographic characteristics.…”
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Syndecan ectodomain fragments decrease endothelial resistance via rho kinase.
Published 2019“…(D) Fragments of non-glycosylated form of rhS4ED also generated significant decreases in TER (n = 5, p = 0.0011). …”
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Traits at cellular, leaf, and whole-plant scales which were significantly different [increased (↑) or decreased (↓)] or non-significant between tolerant and sensitive cultivars in the N-deficient treatment.
Published 2023“…<p>Traits at cellular, leaf, and whole-plant scales which were significantly different [increased (↑) or decreased (↓)] or non-significant between tolerant and sensitive cultivars in the N-deficient treatment.…”
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Depleted antibody secreting cells did not result in decreased donor specific antibody in non-sensitized animals.
Published 2022“…(A) T (CD3<sup>+</sup>) and (B) B (CD45R<sup>+</sup>) cell flow crossmatch was performed in non-sensitized animals. IgG1<sup>+</sup> in the T cell flow crossmatch was the only DSA that BLyS<sup>-/-</sup> significantly decreased compared to APRIL<sup>-/-</sup> (p<0.03). …”
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Breaking the Barriers: Machine-Learning-Based c‑RASAR Approach for Accurate Blood–Brain Barrier Permeability Prediction
Published 2024“…The intricate nature of the blood–brain barrier (BBB) poses a significant challenge in predicting drug permeability, which is crucial for assessing central nervous system (CNS) drug efficacy and safety. …”
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The posterior probability of barriers failure based on beta distribution and BN.
Published 2024Subjects: -
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Perceived barriers to adoption.
Published 2025“…Key barriers included lack of curricular integration (68.78%) and concerns about test accuracy (53.39%). …”