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latest decrease » largest decrease (Expand Search), greatest decrease (Expand Search), largest decreases (Expand Search)
values decrease » values increased (Expand Search), largest decrease (Expand Search)
we decrease » a decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
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Predicting pattern diversity decreases as a function of and .
Published 2025“…(a) and (b): Average negative predictive value for and , respectively for and . …”
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Table 1_Effect of decreased suspended sediment content on chlorophyll-a in Dongting Lake, China.docx
Published 2025“…However, the effect of reduced SSC on Chl-a is poorly studied. Here, we compared and analyzed the distribution conditions of Chl-a in 6 representative years for both before the implementation of Three Gorges Dam (TGD) (BIT) and after the implementation of TGD (AIT), using the TM/OLI data and NIR-red inversion model. …”
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AUC of various models to predict imeglimin efficacy for liver function evaluated by ROC curves.
Published 2025Subjects: -
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DATA: Response diversity increases functional but decreases compositional stability of grassland communities
Published 2025“…<p dir="ltr">Response diversity is assumed to underly ecosystem stability, but experimental evidence is lacking. We introduce a novel way to quantify response diversity based on performance-environment relationships. …”
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Table 1_NSAID use may decrease serum Klotho levels.docx
Published 2025“…</p>Conclusion<p>Contrary to previous speculations, the use of NSAIDs is associated with a decrease in serum Klotho levels.</p>…”
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The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness.
Published 2025“…(C) Mutualism also promotes an increase in network connectance when introduced into assembled communities, while stopping mutualistic interactions from entering an assembled system slowly decreases it. (D) As a result, the introduction of mutualistic interactions promotes a growth in complexity in communities where it was once established as low, while stopping the introduction of further mutualistic interactions causes a slight decrease in complexity. …”
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ROC curve and AUC value of all models.
Published 2024“…After that, blank and inconclusive data were removed, as well as the outcomes that had values other than discharge and death, rendering a binary classification. …”
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AUC statistics as calculated from simulated time series. Each statistical metric was calculated within sliding windows, throughout the pre-critical interval. We considered five-, fifteen-, and thirty-day sliding windows. Given that the temperature of the system increased to 12°C on day sixty, we also considered three pre-critical intervals: Days 1 to 60, Days 20 to 60, and Days 30 to 60. To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre
Published 2025“…Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre</p>…”
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Image 7_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”