Showing 781 - 800 results of 1,319 for search '(( significant decrease decrease ) OR ( significance ((set decrease) OR (a decrease)) ))~', query time: 0.60s Refine Results
  1. 781

    Table 3_OSH45, a homeobox transcription factor, coordinates low-phosphate adaptation in rice.xlsx by Hong Lu (58784)

    Published 2025
    “…Altogether, our findings demonstrated that OSH45 is a novel TF involved in Pi deficiency response, regulating a set of Pi starvation responsive (PSR) genes to optimize plant adaptation to Pi-limited environments. …”
  2. 782

    Table 4_OSH45, a homeobox transcription factor, coordinates low-phosphate adaptation in rice.xlsx by Hong Lu (58784)

    Published 2025
    “…Altogether, our findings demonstrated that OSH45 is a novel TF involved in Pi deficiency response, regulating a set of Pi starvation responsive (PSR) genes to optimize plant adaptation to Pi-limited environments. …”
  3. 783

    Table 5_OSH45, a homeobox transcription factor, coordinates low-phosphate adaptation in rice.xlsx by Hong Lu (58784)

    Published 2025
    “…Altogether, our findings demonstrated that OSH45 is a novel TF involved in Pi deficiency response, regulating a set of Pi starvation responsive (PSR) genes to optimize plant adaptation to Pi-limited environments. …”
  4. 784

    Data Sheet 2_A Delphi-based framework for optimizing nurse staffing in Chinese hospitals.docx by Waner Wang (17773704)

    Published 2025
    “…This study is the first structured Delphi-and AHP-based staffing evaluation system in a Chinese hospital setting. By integrating expert consensus and hierarchical analysis, we have developed a novel framework tailored to China’s healthcare needs. …”
  5. 785

    Data Sheet 1_A Delphi-based framework for optimizing nurse staffing in Chinese hospitals.pdf by Waner Wang (17773704)

    Published 2025
    “…This study is the first structured Delphi-and AHP-based staffing evaluation system in a Chinese hospital setting. By integrating expert consensus and hierarchical analysis, we have developed a novel framework tailored to China’s healthcare needs. …”
  6. 786

    Identification of multicohort-based predictive signature for NMIBC recurrence reveals SDCBP as a novel oncogene in bladder cancer by Chen Zhang (66790)

    Published 2025
    “…<p>Despite surgical and intravesical chemotherapy interventions, non-muscle invasive bladder cancer (NMIBC) poses a high risk of recurrence, which significantly impacts patient survival. …”
  7. 787

    Interim Effects of Zoledronate, Denosumab, or Teriparatide on Bone Microarchitecture in Type 2 Diabetes: A Pilot Trial by Trupti Nagendra Prasad (17266455)

    Published 2025
    “…<p dir="ltr">Context: Type 2 diabetes (T2D) increases fragility fracture risk despite normal/elevated aBMD, attributed to compromised bone microarchitecture. …”
  8. 788

    Interim Effects of Zoledronate, Denosumab, or Teriparatide on Bone Microarchitecture in Type 2 Diabetes: A Pilot Trial by Trupti Nagendra Prasad (17266455)

    Published 2025
    “…<p dir="ltr">Context: Type 2 diabetes (T2D) increases fragility fracture risk despite normal/elevated aBMD, attributed to compromised bone microarchitecture. …”
  9. 789

    Data Sheet 1_A new strategy improving TB diagnosis: stratified urine LAM test based on lymphocyte counts.docx by Hongzhi Li (271473)

    Published 2025
    “…Patients with lymphocyte counts <0.8 × 10<sup>9</sup>/L were significantly more likely to have a positive AIMLAM result (OR = 9.431, 95% CI: 2.659–33.447, P = 0.001). …”
  10. 790

    Image 8_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

    Published 2025
    “…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”
  11. 791

    Image 1_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

    Published 2025
    “…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”
  12. 792

    Image 7_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

    Published 2025
    “…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”
  13. 793

    Table 1_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.docx by Minyong Choi (22465405)

    Published 2025
    “…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”
  14. 794

    Image 4_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

    Published 2025
    “…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”
  15. 795

    Image 3_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

    Published 2025
    “…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”
  16. 796

    Image 2_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

    Published 2025
    “…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”
  17. 797

    Image 5_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

    Published 2025
    “…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”
  18. 798

    Image 6_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tif by Minyong Choi (22465405)

    Published 2025
    “…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”
  19. 799

    Table 1_Clinical performance of Hedia Diabetes Assistant bolus calculator for diabetes management: a real-world retrospective cohort study.docx by Kenney Fehrenkamp Pedersen (20944706)

    Published 2025
    “…After 12 weeks, LBGI significantly improved from 0.73 to 0.61 (17% decrease, P < 0.001) with no significant changes in HBGI, and eA1c. …”
  20. 800