Search alternatives:
ms decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
ng decrease » _ decrease (Expand Search), a decrease (Expand Search), we decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
nm decrease » _ decrease (Expand Search), a decrease (Expand Search), we decrease (Expand Search)
50 ms » 50 mg (Expand Search), 50 mm (Expand Search)
5 nm » 5 mm (Expand Search), 5 cm (Expand Search)
ms decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
ng decrease » _ decrease (Expand Search), a decrease (Expand Search), we decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
nm decrease » _ decrease (Expand Search), a decrease (Expand Search), we decrease (Expand Search)
50 ms » 50 mg (Expand Search), 50 mm (Expand Search)
5 nm » 5 mm (Expand Search), 5 cm (Expand Search)
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Machine Learning Accelerates Discovery of Optimal Colloidal Quantum Dot Synthesis
Published 2019Subjects: -
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Ratcheting experiments with 500 nm & 100 nm magnetic particles.
Published 2021“…For these experiments, particle suspensions were prepared by diluting particle stock into PBS, obtaining concentrations of ~5.1E7/mL for 500 nm and ~3.0E9/mL for 100 nm magnetic particles.…”
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Difference in changes in ODI and EQ-5D-5L scores among three groups (n = 45).
Published 2022Subjects: -
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DART-ID decreases missing datapoints across runs.
Published 2019“…Only peptides seen in >50% of experiments are included. (<b>b</b>) Decrease in missing data across all runs after applying DART-ID, for SCoPE-MS and the two bulk sets from <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1007082#pcbi.1007082.g004" target="_blank">Fig 4</a> at 1% FDR. …”
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Temporal profiles of the key BO-NN features.
Published 2020“…A linear model was trained per each audio-ECoG shift in the range of -600 ms to 1 s. Spearman correlations between the predicted and observed activity of the key BO-NN features were calculated and averaged over the six cross-validation folds. …”
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