Showing 19,561 - 19,580 results of 23,233 for search '(( significant ((shape increases) OR (teer decrease)) ) OR ( significant decrease decrease ))', query time: 0.60s Refine Results
  1. 19561

    Table 1_Organic and inorganic fertilizers modulate the response of the soil microbiome to salinity stress.docx by Halima Malal (21570602)

    Published 2025
    “…Furthermore, NPK fertilization increased bacterial network complexity but decreased its stability. …”
  2. 19562

    Data Sheet 1_Effects of different fermentation temperatures on microbiomes of cigar tobacco leaves.pdf by Yun Jia (1583794)

    Published 2025
    “…As the temperature increased, the relative abundance of Staphylococcus decreased first and then increased (46.1%–98.5%), while that of Aspergillus increased first and then decreased (34.9%–77.4%). …”
  3. 19563

    Evolutionarily conserved and functionally important amino acids in Artemis. by Ziwen Huang (17562948)

    Published 2025
    “…<i>P</i> values were analyzed with Student <i>t</i> test. ns, not significant.</p>…”
  4. 19564

    Data Sheet 1_Prevalence and predictors of parental willingness to vaccinate daughters against human papillomavirus in Sub-Saharan Africa: a systematic review and meta-analysis.docx by Daniel Asmelash (17989939)

    Published 2025
    “…These findings underscore the critical role of parental willingness in shaping policies and initiatives aimed at increasing HPV vaccination rates and reduce the incidence of cervical cancer.…”
  5. 19565

    Image 2_Dendritic cell-derived MYD88 potentiates as a biomarker for immune regulation in hepatocellular carcinoma and may predict a better immunological result.jpeg by Zheming Liu (485827)

    Published 2025
    “…</p>Results<p>Our pan-cancer data analysis further highlights the significant impact of MYD88 on clinical outcomes in HCC. …”
  6. 19566

    Image 6_Dendritic cell-derived MYD88 potentiates as a biomarker for immune regulation in hepatocellular carcinoma and may predict a better immunological result.tif by Zheming Liu (485827)

    Published 2025
    “…</p>Results<p>Our pan-cancer data analysis further highlights the significant impact of MYD88 on clinical outcomes in HCC. …”
  7. 19567

    Image 5_Dendritic cell-derived MYD88 potentiates as a biomarker for immune regulation in hepatocellular carcinoma and may predict a better immunological result.tif by Zheming Liu (485827)

    Published 2025
    “…</p>Results<p>Our pan-cancer data analysis further highlights the significant impact of MYD88 on clinical outcomes in HCC. …”
  8. 19568

    Image 3_Dendritic cell-derived MYD88 potentiates as a biomarker for immune regulation in hepatocellular carcinoma and may predict a better immunological result.tif by Zheming Liu (485827)

    Published 2025
    “…</p>Results<p>Our pan-cancer data analysis further highlights the significant impact of MYD88 on clinical outcomes in HCC. …”
  9. 19569

    Image 1_Dendritic cell-derived MYD88 potentiates as a biomarker for immune regulation in hepatocellular carcinoma and may predict a better immunological result.tif by Zheming Liu (485827)

    Published 2025
    “…</p>Results<p>Our pan-cancer data analysis further highlights the significant impact of MYD88 on clinical outcomes in HCC. …”
  10. 19570

    Image 1_Neural growth patterns: how random and aligned fibers guide 3D cell organization and pseudospheroid formation.tif by Jana Hlinkova (22364014)

    Published 2025
    “…Pseudospheroids formed on both substrates, that differed in perimeter (348.5 µm on random vs. 450.5 µm on aligned fibers, p < 0.05), with no significant difference in thickness (38.4 ± 7.7 µm vs. 43.2 ± 5.5 µm). mRNA expression of connexin 43 and β3-tubulin increased significantly from day 1 to day 7 on random fibers. …”
  11. 19571

    Data Sheet 1_Dendritic cell-derived MYD88 potentiates as a biomarker for immune regulation in hepatocellular carcinoma and may predict a better immunological result.docx by Zheming Liu (485827)

    Published 2025
    “…</p>Results<p>Our pan-cancer data analysis further highlights the significant impact of MYD88 on clinical outcomes in HCC. …”
  12. 19572

    Image 4_Dendritic cell-derived MYD88 potentiates as a biomarker for immune regulation in hepatocellular carcinoma and may predict a better immunological result.tif by Zheming Liu (485827)

    Published 2025
    “…</p>Results<p>Our pan-cancer data analysis further highlights the significant impact of MYD88 on clinical outcomes in HCC. …”
  13. 19573

    Data Sheet 1_Advanced lung cancer inflammation index and its predictive value for all-cause and cardiovascular mortality among osteoarthritis patients: a NHANES-based study from 20... by Guiyou Wu (9226967)

    Published 2025
    “…Background<p>Globally, the occurrence of osteoarthritis (OA) is increasing, and the intensity of the condition is frequently determined by the level of inflammation and nutritional status in a person. …”
  14. 19574

    Figure 5 from Functional Profiling of p53 and RB Cell Cycle Regulatory Proficiency Suggests Mechanism-Driven Molecular Stratification in Endometrial Carcinoma by Zelei Yang (18491142)

    Published 2025
    “…<p>Aurora kinase B inhibitor sensitive endometrial carcinoma cells show more rapidly decreasing percentages of mitotic cells than resistant models in the setting of nocodazole-induced microtubule instability. …”
  15. 19575

    SEAwise Report on the impacts of fisheries on stocks and landings under SEAwise EBFM by Dorleta Garcia (12315201)

    Published 2025
    “…The ecosystem model generally showed less optimistic outcomes under climate change, with significant decreases in biomass and catches in both the Celtic and North Seas. …”
  16. 19576

    FLEXI interactions with RNA-binding proteins. by Jun Yao (9646)

    Published 2024
    “…RNA-binding sites: I, within introns corresponding to FLEXIs; SS-I and SS-E, bimodally enriched across the 5’- and 3’ splice sites in unspliced pre-mRNAs with the midpoints in the intron or flanking exon (SS-I and SS-E, respectively; Figs <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1011416#pgen.1011416.g004" target="_blank">4A</a> and <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1011416#pgen.1011416.s011" target="_blank">S11</a>). mRNA levels, RBPs whose knockdown resulted in significant difference in mRNA levels (increased or decreased, DESeq2 |LFC|≥1, adjusted p≤0.05) from host gene of FLEXIs with a binding site for that RBP compared to those genes whose transcripts lacked a binding site for the same RBPs based on ENCODE RBP-knockdown datasets (p≤0.05 calculated by Fisher’s exact test; <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1011416#pgen.1011416.s013" target="_blank">S13 Fig</a>). …”
  17. 19577

    Ybx1 regulation of its target mRNAs is m<sup>5</sup>C-depdendent (Related to Fig 5). by Jian Zhang (1682)

    Published 2025
    “…<p><b>(A)</b> RT-qPCR confirmed the decreased expression levels of Ybx1 target mRNAs in neural stem cells with Ybx1 knockdown using siRNA. …”
  18. 19578

    Table 1_COVID-19 pandemic increased ESKAPEEc bloodstream infections and amplified carbapenem resistance in Chinese children: a multicenter surveillance study (2016–2023).xls by Xiaoqiang Li (612879)

    Published 2025
    “…Between 2016–2019 and 2020–2023, resistance to ceftazidime and gentamicin decreased in Escherichia coli and Klebsiella pneumoniae while resistance to imipenem and meropenem increased. …”
  19. 19579

    Table2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. This discovery has implications for clinical decision-making in terms of disease diagnosis, prognosis, treatment strategies, and opens up novel avenues for drug development.…”
  20. 19580

    Table13_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. This discovery has implications for clinical decision-making in terms of disease diagnosis, prognosis, treatment strategies, and opens up novel avenues for drug development.…”