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values decrease » values increased (Expand Search), largest decrease (Expand Search)
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values decrease » values increased (Expand Search), largest decrease (Expand Search)
large decrease » larger decrease (Expand Search), marked decrease (Expand Search), large increases (Expand Search)
ct values » _ values (Expand Search), i values (Expand Search)
c large » _ large (Expand Search), a large (Expand Search), b large (Expand Search)
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Distribution of stable isotope values for consumers faceted by coastscape and feeding habit.
Published 2025Subjects: -
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Mathematical treatments applied to data to correct stable isotope values for lipid content.
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Histogram of day-of-year for sample collection for data collected for this meta-analysis.
Published 2025Subjects: -
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Quantification of isotopic niche overlap for feeding habits between coastscapes.
Published 2025Subjects: -
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Linear regressions of consumer stable carbon and nitrogen isotope values and collection date.
Published 2025Subjects: -
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Data Sheet 1_Prognostic impact of dynamic changes of type I melanoma antigen gene proteins CT7 (MAGE-C1/CT7) transcripts in multiple myeloma.docx
Published 2025“…Our data showed the predictive value of peri-ASCT frontline treatment. A 2-log decrease of MAGE-C1/CT7 post-induction cycle 2 compared to baseline correlated with a negative peri-ASCT MAGE-C1/CT7 status, providing an earlier prognostic marker of treatment response.…”
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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“…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</p>…”
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Percent difference in Precision-Recall AUC, sensitivity, and specificity for pooled models relative to eBird-only models.
Published 2025“…<p>Precision-Recall AUC and sensitivity were higher in all species (positive values); decreases in specificity, present in all species, were more minor (negative values, note differences in x-axis scales between panels).…”
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