Showing 3,501 - 3,520 results of 4,684 for search 'significant ((((((step decrease) OR (nn decrease))) OR (greater decrease))) OR (mean decrease))', query time: 0.54s Refine Results
  1. 3501

    Table 1_The immediate pain relief of low-level laser therapy for burning mouth syndrome: a retrospective study of 94 cases.docx by Wenxin Mu (9911610)

    Published 2024
    “…</p>Results<p>After standardized LLLT session, 71.3% of patients reported an immediate pain decrease. Compared to pre-LLLT treatment, the VAS immediately post-LLLT was significantly reduced (P < 0.001). …”
  2. 3502

    Image 1_The immediate pain relief of low-level laser therapy for burning mouth syndrome: a retrospective study of 94 cases.tif by Wenxin Mu (9911610)

    Published 2024
    “…</p>Results<p>After standardized LLLT session, 71.3% of patients reported an immediate pain decrease. Compared to pre-LLLT treatment, the VAS immediately post-LLLT was significantly reduced (P < 0.001). …”
  3. 3503

    Table 6_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  4. 3504

    Image 1_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  5. 3505

    Table 1_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  6. 3506

    Image 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  7. 3507

    Table 7_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  8. 3508

    Table 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  9. 3509

    Table 5_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  10. 3510

    Table 2_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  11. 3511

    Image 3_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  12. 3512

    Image 5_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  13. 3513

    Table 3_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  14. 3514

    Table 9_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  15. 3515

    Table 8_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  16. 3516

    Image 2_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

    Published 2025
    “…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”
  17. 3517

    Data from: Decade-long bird trends in China: Stable species richness but increasing biotic homogenization by Jiekun He (20964269)

    Published 2025
    “…Taxonomic multiple-site beta diversity decreased over time (P < 0.01), indicating a trend towards biotic homogenization. …”
  18. 3518

    Hardness preference in <i>Drosophila</i> larvae, as a relevant cue for varying feeding substrates. by Nikita Komarov (11903342)

    Published 2025
    “…B’: Relative hardness of agarose concentrations normalised to the mean 2.5% agarose hardness (error bars too small to visualise). …”
  19. 3519

    Data Sheet 1_Ectomycorrhizal response to bark beetle attack: a comparison of dead and surviving trees.pdf by Roman Modlinger (9337337)

    Published 2025
    “…The dry biomass of fine roots was significantly greater in living trees. Fine root abundance showed a slight decrease over time in living and dead trees; however, there was a lack of statistical significance. …”
  20. 3520

    Data Sheet 2_Ectomycorrhizal response to bark beetle attack: a comparison of dead and surviving trees.docx by Roman Modlinger (9337337)

    Published 2025
    “…The dry biomass of fine roots was significantly greater in living trees. Fine root abundance showed a slight decrease over time in living and dead trees; however, there was a lack of statistical significance. …”