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step decrease » sizes decrease (Expand Search), teer decrease (Expand Search)
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701
There is a significant decrease in fibroblast, α-SMA, and Ly6C staining accompanied with a decrease in proliferation, and increase in cell death in the outflow vein removed <i>Iex-...
Published 2014“…</b> Pooled data from the semiquantitative analysis for intensity of Fsp-1 staining in the vessel wall of the outflow vein specimens removed from <i>Iex-1</i> KO and WT mice. There is a significant decrease in the mean Fsp-1 staining in the <i>Iex-1</i> KO animals when compared to WT controls (P<0.05). …”
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702
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703
DataSheet2_Treatment of wild-type mice with 2,3-butanediol, a urinary biomarker of Fmo5−/− mice, decreases plasma cholesterol and epididymal fat deposition.pdf
Published 2022“…<p>We previously showed that Fmo5<sup>−/−</sup> mice exhibit a lean phenotype and slower metabolic ageing. …”
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704
DataSheet1_Treatment of wild-type mice with 2,3-butanediol, a urinary biomarker of Fmo5−/− mice, decreases plasma cholesterol and epididymal fat deposition.PDF
Published 2022“…<p>We previously showed that Fmo5<sup>−/−</sup> mice exhibit a lean phenotype and slower metabolic ageing. …”
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705
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706
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707
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709
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The Transition from a Compensatory Increase to a Decrease in C-peptide During the Progression to Type 1 Diabetes and Its Relation to Risk
Published 2022“…Conclusions</p> <p>A transition from an increase to a decrease in AUC C-peptide approximately 1.5 years pre-diagnosis was validated in two independent cohorts. …”
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714
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715
S1 File -
Published 2024“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R<sup>2</sup>), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”
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716
Detailed information on field experiments.
Published 2024“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R<sup>2</sup>), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”
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717
List of symbols used in this study.
Published 2024“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R<sup>2</sup>), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”
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718
Data sources for calibration and evaluation.
Published 2024“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R<sup>2</sup>), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”
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719
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720