Showing 1,261 - 1,280 results of 10,836 for search 'significantly ((((((lower decrease) OR (we decrease))) OR (nn decrease))) OR (mean decrease))', query time: 0.75s Refine Results
  1. 1261

    Presentation 1_Decreased brain-derived neurotrophic factor expression in chronic kidney disease: integrated clinical and experimental evidence.pptx by Juan Chen (61123)

    Published 2025
    “…Single-cell mRNA sequencing further confirmed that Bdnf levels were lower in renal proximal tubule (PT) cells, macrophages (Mφ), and podocytes in UUO mice compared to normal controls, Additionally, Bdnf-as—a long non-coding RNA known to epigenetically repress BDNF—was significantly upregulated in proximal tubules of CKD patients based on human transcriptomic data. …”
  2. 1262

    Search strategy. by Alvine M. Akumbom (20460907)

    Published 2024
    “…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”
  3. 1263

    Fig 1 - by Alvine M. Akumbom (20460907)

    Published 2024
    “…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”
  4. 1264

    GMT by age cohort for PWH and PWoH. by Alvine M. Akumbom (20460907)

    Published 2024
    “…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”
  5. 1265

    Fig 4 - by Alvine M. Akumbom (20460907)

    Published 2024
    “…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”
  6. 1266

    Difference in GMT for HPV16 and HPV18 in PWH. by Alvine M. Akumbom (20460907)

    Published 2024
    “…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”
  7. 1267

    Fig 3 - by Alvine M. Akumbom (20460907)

    Published 2024
    “…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”
  8. 1268

    Summary of characteristics of studies reviewed. by Alvine M. Akumbom (20460907)

    Published 2024
    “…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”
  9. 1269

    Cumulative meta-analysis. by Alvine M. Akumbom (20460907)

    Published 2024
    “…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”
  10. 1270

    Summary of immunogenicity information. by Alvine M. Akumbom (20460907)

    Published 2024
    “…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”
  11. 1271

    Flow chart of experimental protocol. by Eun-Seon Yang (19751340)

    Published 2024
    “…SBP showed an increasing trend, but this was not statistically significant (<i>p</i> = 0.108). Interestingly, we observed significant decreases in arterial stiffness and PWV in POST_VM when comparing with PRE_VM (<i>p</i><0.001 and <i>p</i><0.001, respectively). …”
  12. 1272

    A representative ultrasound axis image. by Eun-Seon Yang (19751340)

    Published 2024
    “…SBP showed an increasing trend, but this was not statistically significant (<i>p</i> = 0.108). Interestingly, we observed significant decreases in arterial stiffness and PWV in POST_VM when comparing with PRE_VM (<i>p</i><0.001 and <i>p</i><0.001, respectively). …”
  13. 1273
  14. 1274

    S1 File - by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
  15. 1275

    Supplementary file 1_Influence of attentional state on EEG-based motor imagery of lower limb.docx by Penghai Li (19823646)

    Published 2025
    “…Cluster-based permutation testing confirmed that this α-band ERD difference was significant (corrected p < 0.05). Moreover, the TBR index proved to be an effective real-time metric, decreasing significantly under focused attention. …”
  16. 1276

    Confusion matrix for ClinicalBERT model. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
  17. 1277

    Confusion matrix for LastBERT model. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
  18. 1278

    Student model architecture. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
  19. 1279

    Configuration of the LastBERT model. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
  20. 1280

    Confusion matrix for DistilBERT model. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”