Showing 141 - 160 results of 99,033 for search '(( significant ((gap decrease) OR (a decrease)) ) OR ( significant predicted values ))', query time: 1.36s Refine Results
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    Actual FA values vs predicted values. by Tmader Alballa (11185181)

    Published 2021
    “…<p>This is a scatter plot of actual FA values vs predicted FA values for one significant voxel <i>v</i> = (150, 80, 75) across 57 individuals.…”
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    Values of model parameters. by Wang Xiang (5435141)

    Published 2024
    “…With the continuous rise of traffic control intensity in different simulation scenarios, the cumulative number of cases decreases by a significant amplitude. While balancing the requirements for epidemic prevention and control and for tourist economy development, the model works out the control intensity to be 0.68, under which some traffic control measures are suggested. …”
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    Significance Values of Multi-Group Analyses. by Bárbara Gonzalez (21680923)

    Published 2025
    “…Academic exhaustion was the stronger predictor (β = 0.523, p < .001), followed by social connecteness to the campus (β = −31, p < .001), vocational difficulties (β = 0.274, p < .001), and course value (β = −0.256, p < .001). Except for the course value, and family educational level, all significant predictors had their effect on dropout intention through academic exhaustion. …”
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    Predictive significance of standardized uptake value parameters of FDG-PET in patients with non-small cell lung carcinoma by X-Y. Duan (6513194)

    Published 2019
    “…Our results showed that these four SUV parameters had predictive significance related to NSCLC tumor differentiation; SUVT/L appeared to be most useful overall, but SUVmax was the best index for adenocarcinoma tumor differentiation.…”
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    Probability of survival (A) and recovery from dialysis (B) according to the best cut-off value of % PCT decrease in patients with SIAKI receiving CRRT. by Il Young Kim (10757390)

    Published 2022
    “…<p>In all the study subjects (n = 649), patients with a % PCT decrease > 31% showed a significant increase in the survival compared with those with % PCT decrease ≤ 31% (28-day survival: 80.5 vs. 30.6%, <i>P</i> < 0.001). …”
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