Showing 2,441 - 2,460 results of 14,897 for search '(( significant ((changes decrease) OR (larger decrease)) ) OR ( significantly increased decrease ))', query time: 0.73s Refine Results
  1. 2441

    RNA-seq data showing top 15 downregulated genes. by Akosua K. Boateng (21672931)

    Published 2025
    “…Our results show that relative to WT lenses, the βA3ΔG91 lenses showed: (A) downregulation of genes associated with LECs proliferation and migration (B) abnormal suture line pattern, (C) significant reduction in proliferation and migration of LECs, (D) abnormal F-actin distribution, (E) increased high molecular weight (HMW) peak, and (F) insolubilization and degradation of crystallins and other lens proteins. …”
  2. 2442

    RNA-seq data showing top 15 upregulated genes. by Akosua K. Boateng (21672931)

    Published 2025
    “…Our results show that relative to WT lenses, the βA3ΔG91 lenses showed: (A) downregulation of genes associated with LECs proliferation and migration (B) abnormal suture line pattern, (C) significant reduction in proliferation and migration of LECs, (D) abnormal F-actin distribution, (E) increased high molecular weight (HMW) peak, and (F) insolubilization and degradation of crystallins and other lens proteins. …”
  3. 2443

    Absolute β convergence results. by Ke Liu (121889)

    Published 2025
    “…The results revealed that from 2010 to 2020, the population agglomeration level of the Xi’an metropolitan area showed a trend of first increasing and then decreasing. The absolute gap in the population agglomeration level between cities within the metropolitan area gradually narrowed, and the polarization phenomenon of population agglomeration was not obvious. …”
  4. 2444

    Conditional β convergence results. by Ke Liu (121889)

    Published 2025
    “…The results revealed that from 2010 to 2020, the population agglomeration level of the Xi’an metropolitan area showed a trend of first increasing and then decreasing. The absolute gap in the population agglomeration level between cities within the metropolitan area gradually narrowed, and the polarization phenomenon of population agglomeration was not obvious. …”
  5. 2445

    Markov transition probability matrix (k = 4). by Ke Liu (121889)

    Published 2025
    “…The results revealed that from 2010 to 2020, the population agglomeration level of the Xi’an metropolitan area showed a trend of first increasing and then decreasing. The absolute gap in the population agglomeration level between cities within the metropolitan area gradually narrowed, and the polarization phenomenon of population agglomeration was not obvious. …”
  6. 2446

    Markov transition probability matrix (k = 4). by Ke Liu (121889)

    Published 2025
    “…The results revealed that from 2010 to 2020, the population agglomeration level of the Xi’an metropolitan area showed a trend of first increasing and then decreasing. The absolute gap in the population agglomeration level between cities within the metropolitan area gradually narrowed, and the polarization phenomenon of population agglomeration was not obvious. …”
  7. 2447

    Regression results. by Ke Liu (121889)

    Published 2025
    “…The results revealed that from 2010 to 2020, the population agglomeration level of the Xi’an metropolitan area showed a trend of first increasing and then decreasing. The absolute gap in the population agglomeration level between cities within the metropolitan area gradually narrowed, and the polarization phenomenon of population agglomeration was not obvious. …”
  8. 2448

    Modulation of performance during learning. by Daniel Ramandi (10047543)

    Published 2025
    “…(B) A longitudinal comparison of the average exponential fit weight between WT and zQ175 mice reveals that while WT mice show a decreasing trend, indicating a shift towards longer duration (“timed”) trials, zQ175 mice maintain a consistently high exponential weight, demonstrating no significant change over time (b; RM two-way ANOVA, genotype p = 0.0106 F(1, 22) = 7.795, days p < 0.0001 F(5.262, 115.4) = 7.616, interaction p < 0.0001 F(57, 1250) = 2.834). …”
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  15. 2455

    Concentrations of C, N, and P in time change. by Shizhen Xu (4474321)

    Published 2025
    “…Overall, converting forestland and grassland to cropland significantly reduced soil carbon-sequestration capacity, shifting them from “carbon sinks” to “carbon sources” and increasing carbon emission risks. …”
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  17. 2457

    Summary of study eligibility criteria. by Biban Gill (1473337)

    Published 2025
    “…In addition, a panel of safety blood markers measured pre- and post-intervention confirmed no clinically significant changes in blood chemistry or blood cell count.…”
  18. 2458

    Summary of study participation and feasibility. by Biban Gill (1473337)

    Published 2025
    “…In addition, a panel of safety blood markers measured pre- and post-intervention confirmed no clinically significant changes in blood chemistry or blood cell count.…”
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