Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significance test » significance set (Expand Search), significance testing (Expand Search), significance level (Expand Search)
test decrease » teer decrease (Expand Search), cost decreased (Expand Search), mean decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significance test » significance set (Expand Search), significance testing (Expand Search), significance level (Expand Search)
test decrease » teer decrease (Expand Search), cost decreased (Expand Search), mean decrease (Expand Search)
-
401
-
402
-
403
-
404
-
405
-
406
-
407
-
408
-
409
Trends analysis in diabetes mellitus diagnosis according to relative handgrip strength.
Published 2024Subjects: -
410
-
411
-
412
-
413
-
414
Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts.
Published 2025“…<p>Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts.…”
-
415
Nineteen SNPs with significant association (<i>P < </i>5 × 10<sup>−8</sup>) with risk on minJSW decrease in knee OA.
Published 2025“…<p>Nineteen SNPs with significant association (<i>P < </i>5 × 10<sup>−8</sup>) with risk on minJSW decrease in knee OA.…”
-
416
Data Sheet 1_Elevated relative humidity significantly decreases cannabinoid concentrations while delaying flowering development in Cannabis sativa L..docx
Published 2025“…Furthermore, high RH significantly suppressed cannabinoid accumulation: cannabidiolic acid (CBD-A), cannabidiol (CBD), and cannabichromenic acid (CBC-A) levels decreased by approximately 4.9-fold, 3.2-fold, and 13-fold, respectively. …”
-
417
-
418
-
419
-
420
Testing set error.
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). …”