Showing 1,201 - 1,220 results of 21,342 for search '(( ((significance teer) OR (significance testing)) decrease ) OR ( significant decrease decrease ))', query time: 0.64s Refine Results
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    Grid independence test. by Zhen Zhao (159931)

    Published 2025
    “…The results indicate that schemes 1, 2, and 4 all have significant low-speed vortices in the return water zone (D zone). …”
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    The RehaGait® system. by Johanna Rydja (12300797)

    Published 2025
    “…Step height was normalized postoperatively; all other variables remained significantly worse than the HI. There were strong correlations between stride length, velocity, heel strike angle, and toe-off angle and the functional gait tests, but no correlations for any variable and the balance domain score.…”
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    Flow chart of included patients and dropouts. by Johanna Rydja (12300797)

    Published 2025
    “…Step height was normalized postoperatively; all other variables remained significantly worse than the HI. There were strong correlations between stride length, velocity, heel strike angle, and toe-off angle and the functional gait tests, but no correlations for any variable and the balance domain score.…”
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    Dataset of the analyzed data. by Johanna Rydja (12300797)

    Published 2025
    “…Step height was normalized postoperatively; all other variables remained significantly worse than the HI. There were strong correlations between stride length, velocity, heel strike angle, and toe-off angle and the functional gait tests, but no correlations for any variable and the balance domain score.…”
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    S1 File - by Hongyu Li (1332669)

    Published 2025
    Subjects:
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    CBR test results at different curing time. by Shoujie Wang (18326754)

    Published 2024
    “…The results show that the UCS and CBR values enhanced significantly with the increase in curing time. However, the moisture content and pH of the stabilized soil exhibited a decreasing trend. …”
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    Internal structure of an LSTM cell. by Xiangjuan Liu (618000)

    Published 2025
    “…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …”