Showing 9,201 - 9,220 results of 18,297 for search 'significant ((((gap decrease) OR (((a decrease) OR (nn decrease))))) OR (mean decrease))', query time: 0.80s Refine Results
  1. 9201

    Table_3_Bacillus velezensis B105-8, a potential and efficient biocontrol agent in control of maize stalk rot caused by Fusarium graminearum.DOCX by Shuang Wang (46453)

    Published 2024
    “…S-NP activity showed an initial increase with a peak of 20,337 nmol/h/g, followed by a decrease, but activity remained significantly better than control treatment with chemical fungicides. …”
  2. 9202

    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. …”
  3. 9203

    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.…”
  4. 9204

    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.…”
  5. 9205

    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).…”
  6. 9206

    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). …”
  7. 9207

    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). …”
  8. 9208

    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). …”
  9. 9209

    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). …”
  10. 9210

    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. …”
  11. 9211

    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. …”
  12. 9212

    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. …”
  13. 9213

    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. …”
  14. 9214

    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. …”
  15. 9215

    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. …”
  16. 9216

    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. …”
  17. 9217

    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%). …”
  18. 9218

    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%). …”
  19. 9219

    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.…”
  20. 9220

    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. …”