Showing 7,381 - 7,400 results of 17,983 for search 'significant ((((step decrease) OR (small decrease))) OR (((nn decrease) OR (a decrease))))', query time: 0.66s Refine Results
  1. 7381

    English and German versions of OUS. by Aistė Ambrasė (22505574)

    Published 2025
    “…Both in the pre-pandemic and the post-pandemic sample (N<sub>S2</sub> = 348, 206 women, M<sub>age</sub> = 24.61) we found a sex/gender difference, with women scoring significantly higher in the IB-DE subscale than men. …”
  2. 7382

    Dynamic functional connectivity changes in left DLPFC-tDCS protocol (F3a-Fp2c). by Yanqing Dong (8829548)

    Published 2025
    “…Warmer colors indicate an increase in FC, while cooler colors indicate a decrease in FC. Color bars indicate statistical t-values ().…”
  3. 7383

    Raw database. by Franco Romaní-Romaní (21989788)

    Published 2025
    “…<div><p>Background</p><p>Progress testing is a longitudinal assessment method used to monitor the acquisition and retention of knowledge throughout medical training. …”
  4. 7384

    Fractionation of Squid Pens with Ionic LiquidsAn Upgraded β‑Chitin and Shellfish Protein Production by Pedro Y. S. Nakasu (14520910)

    Published 2025
    “…To optimize the extraction process, a factorial design of experiments was employed to achieve a protein recovery of 75% at an estimated purity of 86%, along with highly acetylated, crystalline β-chitin with a purity of up to 95%. …”
  5. 7385

    Ganaxolone: A Review in Epileptic Seizures Associated with Cyclin‑Dependent Kinase‑Like 5 Deficiency Disorder by Sheridan M. Hoy (4897468)

    Published 2024
    “…While somnolence and sedation are related to the dose of ganaxolone, they appear early in treatment and may decrease with continued therapy. Thus, although current evidence is somewhat limited, adjunctive ganaxolone could be a valuable therapeutic option for patients aged 2–17 years with epileptic seizures associated with CDD.…”
  6. 7386
  7. 7387

    Physical properties of porous media. by Yingguo Wang (21094364)

    Published 2025
    “…The loess interlayer retained water due to its low permeability, while the sandy interlayer caused water retention in the overlying clay soil as a result of its low matric potential. Based on the simulation outcomes, it is recommended that a 10 cm thick loess interlayer at a depth of 40 cm in sandy soil enhances upper soil moisture availability for vegetation, whereas a 10 cm thick sandy interlayer at the same depth in loess soil improves soil permeability. …”
  8. 7388
  9. 7389
  10. 7390

    Table 3_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

    Published 2025
    “…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”
  11. 7391

    Image 3_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.jpeg by Zhen Gong (292434)

    Published 2025
    “…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”
  12. 7392

    Table 1_Effects of icariin as a feed additive on the reproductive function in bucks (Capra hircus).docx by Fang-e Zhao (20140809)

    Published 2024
    “…However, the serum concentration of GnRH in the ICA group initially increased, followed by a subsequent decrease (p < 0.05). The hypothalamic concentrations of dopamine (DA) and 5-hydroxytryptamine (5-HT) were significantly higher in the ICA group compared to the control group (p < 0.01). …”
  13. 7393

    Table 5_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

    Published 2025
    “…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”
  14. 7394

    Table 2_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

    Published 2025
    “…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”
  15. 7395

    Image 1_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.jpeg by Zhen Gong (292434)

    Published 2025
    “…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”
  16. 7396

    Table 1_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

    Published 2025
    “…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”
  17. 7397

    Image 2_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.jpeg by Zhen Gong (292434)

    Published 2025
    “…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”
  18. 7398

    Table 4_Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.xlsx by Zhen Gong (292434)

    Published 2025
    “…T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. …”
  19. 7399
  20. 7400

    Domains of NoCs. by Gizachew Tadele Tiruneh (8407686)

    Published 2025
    “…The interrupted time series analysis indicated that the rate of ANC 8+ visits was 29.8% per month higher than expected without the NoCs strategy (Coef: 2.39; p-value < 0.01) and an 18.4% increase in obstetric complications managed (Coef: 1.71; p-value = 0.050), with a 43% overall increase. Perinatal mortality decreased by 34%, from 31.3 to 20.1 per 1,000 births [t-test: 2.12; p-value: 0.040)].…”