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largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
values decrease » values increased (Expand Search)
learning fold » learning font (Expand Search), learning force (Expand Search), learning goals (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search), fold increases (Expand Search)
_ largest » _ large (Expand Search)
i values » _ values (Expand Search)
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TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5<sup>th</sup> and 95<sup>th</sup> percentile change points are determined from 500 bootstrap replicate runs....
Published 2025“…<p>TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5<sup>th</sup> and 95<sup>th</sup> percentile change points are determined from 500 bootstrap replicate runs. …”
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Forest plot of ROR values used to assess gender differences in penicillamine-related AEs.
Published 2025Subjects: -
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Machine learning model to diagnose PCG.
Published 2025“…Adjusting for age and gender, the serum TAS (OR = 0.07, 95% CI 0.01–0.85, <i><i>p</i></i> = 0.037), H<sub>2</sub>O<sub>2</sub> (OR = 1.21, 95% CI 1.09–1.35, <i><i>p</i></i> = 0.001) and MDA (OR = 1.17, 95% CI 1.00–1.34, <i><i>p</i></i> = 0.034) were determined to be independent risk/protective factors for PCG. …”
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Moran’s I value, Z value and P value of CCD-GFEE.
Published 2025“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”
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