Showing 9,321 - 9,340 results of 18,354 for search 'significant ((((step decrease) OR (((greatest decrease) OR (a decrease))))) OR (mean decrease))', query time: 0.48s Refine Results
  1. 9321

    Results of the two-way repeated measures ANOVA. by Marion Hitier (21261938)

    Published 2025
    “…The electromyographic activity of the semitendinosus muscle was affected by the time (p = 0.004). It revealed a decrease after stretching as compared to a post-warm-up measurement. …”
  2. 9322

    Table 1_The effect of omega-3 supplementation on metabolic, inflammatory and oxidative stress biomarkers in pregnant women: a systematic review and meta-analysis.docx by Mohamed J. Saadh (17931488)

    Published 2025
    “…However, triglyceride (SMD = −0.96, 95% CI: −1.77, −0.16) and CRP (SMD = −0.98, 95% CI: −1.86, −0.11) significantly decreased, and HDL-C cholesterol levels significantly increased (SMD = 0.72, 95% CI: 0.21, 1.22) following omega-3 supplementation.…”
  3. 9323

    Table 1_The effects of magnesium and vitamin D/E co-supplementation on inflammation markers and lipid metabolism of obese/overweight population: a systematic review and meta-analys... by Kai Deng (299054)

    Published 2025
    “…In contrast, the serum levels of interleukin-6 (IL-6) showed a non-significant decrease (MD: −0.09, 95%CI: −0.33, 0.15, p = 0.46), and did not significantly affect lipid metabolism according to levels of parameters such as serum triglyceride (MD = 1.84, 95% CI: −28.92, 32.60, p = 0.91), serum LDL-c (MD: −4.56, 95% CI: −14.19, 5.08, p = 0.35), and serum HDL-c (MD: 1.96, 95% CI: −3.07, 6.98, p = 0.45) in the co-supplementation of magnesium and Vitamin E.…”
  4. 9324

    Impact of structural connectivity on dynamic functional connectivity in stimulated regions in right DLPFC-tDCS protocol (F4a-Fp1c). by Yanqing Dong (8829548)

    Published 2025
    “…Warmer colors correspond to an increase in functional connectivity, while cooler colors correspond to a decrease in functional connectivity. The color bars indicate statistical t-values (<i>p</i> < 0.05).…”
  5. 9325

    Image 2_Effects of oral gavage with periodontal pathogens and plaque biofilm on gut microbiota ecology and intestinal tissue architecture in mice: a mechanistic study.jpg by Lan Huang (11591)

    Published 2025
    “…In the BF group, only TNF-α expression demonstrated a significant increase (P < 0.01). The expression of occludin is significantly reduced in the F/P/BF group, with the most pronounced decrease observed in the P group (P < 0.01). …”
  6. 9326

    Image 3_Effects of oral gavage with periodontal pathogens and plaque biofilm on gut microbiota ecology and intestinal tissue architecture in mice: a mechanistic study.jpg by Lan Huang (11591)

    Published 2025
    “…In the BF group, only TNF-α expression demonstrated a significant increase (P < 0.01). The expression of occludin is significantly reduced in the F/P/BF group, with the most pronounced decrease observed in the P group (P < 0.01). …”
  7. 9327

    Image 1_Effects of oral gavage with periodontal pathogens and plaque biofilm on gut microbiota ecology and intestinal tissue architecture in mice: a mechanistic study.jpg by Lan Huang (11591)

    Published 2025
    “…In the BF group, only TNF-α expression demonstrated a significant increase (P < 0.01). The expression of occludin is significantly reduced in the F/P/BF group, with the most pronounced decrease observed in the P group (P < 0.01). …”
  8. 9328

    Image 4_Effects of oral gavage with periodontal pathogens and plaque biofilm on gut microbiota ecology and intestinal tissue architecture in mice: a mechanistic study.jpg by Lan Huang (11591)

    Published 2025
    “…In the BF group, only TNF-α expression demonstrated a significant increase (P < 0.01). The expression of occludin is significantly reduced in the F/P/BF group, with the most pronounced decrease observed in the P group (P < 0.01). …”
  9. 9329

    IG feature selection process. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The model performance was validated with an average accuracy of 99.82% ± 0.16% and a statistically significant p-value of 0.0001 on the WUSTL-EHMS-2020 dataset, which refers to stable statistical improvement. …”
  10. 9330

    RFE feature selection process. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The model performance was validated with an average accuracy of 99.82% ± 0.16% and a statistically significant p-value of 0.0001 on the WUSTL-EHMS-2020 dataset, which refers to stable statistical improvement. …”
  11. 9331

    CICID2017 dataset information. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The model performance was validated with an average accuracy of 99.82% ± 0.16% and a statistically significant p-value of 0.0001 on the WUSTL-EHMS-2020 dataset, which refers to stable statistical improvement. …”
  12. 9332

    Shows the basic architecture of an autoencoder. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The model performance was validated with an average accuracy of 99.82% ± 0.16% and a statistically significant p-value of 0.0001 on the WUSTL-EHMS-2020 dataset, which refers to stable statistical improvement. …”
  13. 9333

    Architecture of deep neural networks. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The model performance was validated with an average accuracy of 99.82% ± 0.16% and a statistically significant p-value of 0.0001 on the WUSTL-EHMS-2020 dataset, which refers to stable statistical improvement. …”
  14. 9334

    Proposed model framework. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The model performance was validated with an average accuracy of 99.82% ± 0.16% and a statistically significant p-value of 0.0001 on the WUSTL-EHMS-2020 dataset, which refers to stable statistical improvement. …”
  15. 9335

    WUSTL-EHMS-2020 dataset information. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The model performance was validated with an average accuracy of 99.82% ± 0.16% and a statistically significant p-value of 0.0001 on the WUSTL-EHMS-2020 dataset, which refers to stable statistical improvement. …”
  16. 9336

    Table1_Comparative efficacy of different exercise modalities on metabolic profiles and liver functions in non-alcoholic fatty liver disease: a network meta-analysis.docx by Mingming Huang (1802023)

    Published 2024
    “…The network meta-analysis revealed that aerobic exercise was the most effective intervention for improving BMI in patients with NAFLD, demonstrating a significant decrease in BMI (−0.72, 95%CI: −0.98 to −0.46; p < 0.05; Surface Under the Cumulative Ranking (SUCRA) = 79.8%). …”
  17. 9337

    Table2_Comparative efficacy of different exercise modalities on metabolic profiles and liver functions in non-alcoholic fatty liver disease: a network meta-analysis.docx by Mingming Huang (1802023)

    Published 2024
    “…The network meta-analysis revealed that aerobic exercise was the most effective intervention for improving BMI in patients with NAFLD, demonstrating a significant decrease in BMI (−0.72, 95%CI: −0.98 to −0.46; p < 0.05; Surface Under the Cumulative Ranking (SUCRA) = 79.8%). …”
  18. 9338

    Table_1_Outcomes of retroperitoneal fibrosis-related hydronephrosis and its risk factors for poor prognosis: a multi-center retrospective cohort study in Chinese patients.DOCX by figshare admin frontiersin (4545187)

    Published 2024
    “…Hydronephrosis is a common complication of RPF, however, its clinical features and outcomes have not been well elucidated.…”
  19. 9339

    Scores vs Skip ratios on single-agent task. by Hongjie Zhang (136127)

    Published 2025
    “…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”
  20. 9340

    Time(s) and GFLOPs savings of single-agent tasks. by Hongjie Zhang (136127)

    Published 2025
    “…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”