Showing 18,321 - 18,340 results of 21,342 for search '(( significant decrease decrease ) OR ( significant rates decrease ))', query time: 0.53s Refine Results
  1. 18321

    The performance of YOFGD model on MOT16. by Wenshun Sheng (21485393)

    Published 2025
    “…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
  2. 18322
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  4. 18324

    Table1_Adverse event signal mining and severe adverse event influencing factor analysis of Lumateperone based on FAERS database.docx by Yanjing Zhang (401134)

    Published 2024
    “…Conversely, concomitant use of CYP3A4 inhibitors or drugs metabolized by CYP3A4 was associated with a decreased risk of severe AEs (OR = 0.524 [0.434, 0.633], P = 0.000).…”
  5. 18325

    Table11_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.…”
  6. 18326

    Data Sheet 1_Cross-species analysis of FcγRIIa/b (CD32a/b) polymorphisms at position 131: structural and functional insights into the mechanism of IgG- mediated phagocytosis in hum... by William D. Tolbert (7870697)

    Published 2025
    “…In contrast, allele-specific effects in macaques were highly significant; the macaque P<sup>131</sup> variant showing uniformly reduced IgG affinity. …”
  7. 18327

    Network structure of OSA. by Wenshun Sheng (21485393)

    Published 2025
    “…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
  8. 18328

    DataSheet1_Erlotinib regulates short-term memory, tau/Aβ pathology, and astrogliosis in mouse models of AD.doc by Hyun-ju Lee (7550741)

    Published 2024
    “…Moreover, erlotinib treatment decreased astrogliosis in 6-month-old PS19 mice and reduced proinflammatory responses in primary astrocytes (PACs) from PS19 mice. …”
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  10. 18330

    Table 1_The knowledge paradox: an inverted U-shaped association between HIV knowledge and stigma among older men in Sichuan Province, Southwest China.docx by Zhihua Ye (3133311)

    Published 2025
    “…Background<p>Older men (≥50 years) in China face elevated HIV infection risks, yet HIV stigma remains a significant barrier to prevention. Although HIV knowledge is frequently assumed to reduce stigma, the evidence is inconsistent. …”
  11. 18331

    Data Sheet 1_Metformin upregulates circadian gene PER2 to inhibit growth and enhance the sensitivity of glioblastoma cell lines to radiotherapy via SIRT2/G6PD pathway.docx by Hailiang Li (740080)

    Published 2025
    “…Meanwhile, NADPH+ production and G6PDH enzyme activity significantly decreased. Further study validated that metformin inhibited the cell growth of GBM cell lines through up-regulating PER2 and inhibited SIRT2/G6PD signaling pathway, enhancing radiotherapy(RT) sensitivity. …”
  12. 18332

    Table8_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.…”
  13. 18333

    The performance of S-YOFEO model on MOT17. by Wenshun Sheng (21485393)

    Published 2025
    “…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
  14. 18334
  15. 18335

    Table5_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.…”
  16. 18336

    Experimental protocol and behavioral evidence of perceptual learning. by Sarit F.A. Szpiro (21094755)

    Published 2025
    “…The shaded area represents the standard error of the mean. Significant clusters for the main effect of PRE/post training, as determined by cluster mass permutation two-tailed tests, are indicated with rectangles (p < 0.05 and p < 0.1). …”
  17. 18337

    Five multi-target tracking evaluation indexes. by Wenshun Sheng (21485393)

    Published 2025
    “…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
  18. 18338

    Genetic and structural factors contributing to the dominance and persistence of goose astrovirus type 2 by Peng Jiang (16544)

    Published 2025
    “…<p>Goose astrovirus (GoAstV) has emerged as a significant pathogen affecting the goose industry in China, with GoAstV-2 becoming the dominant genotype since 2017. …”
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    Glucagon-like peptide 1 receptor agonists modestly reduced low-density lipoprotein cholesterol and total cholesterol levels independent of weight reduction: a meta-analysis and met... by Frederick Berro Rivera (12679463)

    Published 2024
    “…</p> <p>GLP-1RA treatment modestly decreased LDL-C and TC but did not significantly affect triglycerides, VLDL-C, or HDL-C.…”