Showing 1 - 20 results of 5,113 for search '(((( learning mean decrease ) OR ( _ largest decrease ))) OR ( i values decrease ))', query time: 0.70s Refine Results
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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.... by Brent J. Bellinger (21156150)

    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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    Means for STEM competence for pre- and post-test. by Esther Kim (2996622)

    Published 2024
    “…There were 114 participants from Ghana (female = 56%) and 95 from the US (female = 48%); <i>M</i><sub>age</sub> = 16.21 years, <i>SD</i> = 1.65. …”
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    Moran’s I value, Z value and P value of CCD-GFEE. by Dalai Ma (17847101)

    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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    S1 File - by Chantelle M. de Vet (16535257)

    Published 2024
    “…Repeated measurements analysis showed a significant decrease in variability of the LV- and RV-GLS score differences between the expert and trainees over time (<i>p</i><sub>adj</sub><0.001), which was not significantly different between trainees. …”
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    Machine learning model to diagnose PCG. by Mingxi Shao (10066570)

    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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