Showing 43,841 - 43,860 results of 43,915 for search '(( 09 ((0 decrease) OR (a decrease)) ) OR ( 20 ((teer decrease) OR (nn decrease)) ))', query time: 0.67s Refine Results
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    Table 1_Avoiding touching until 60 min—contamination of transdermal estradiol gel after physical contact.docx by Yi Cao (229829)

    Published 2025
    “…In the estradiol gel group, estradiol levels remained stable within the first 30 min (p >0.05), rapidly decreased at 60 min (p <0.001) and remained stable from 60 min to 120 min (p >0.05). …”
  8. 43848
  9. 43849

    Data_Sheet_1_Birth outcomes, puberty onset, and obesity as long-term predictors of biological aging in young adulthood.PDF by Martin Jáni (3968681)

    Published 2023
    “…Accelerated biological aging was predicted by higher BMI [in both early (R<sup>2</sup><sub>adj</sub> = 0.05) and late 20s (R<sup>2</sup><sub>adj</sub> = 0.22)], subcutaneous (R<sup>2</sup><sub>adj</sub> = 0.21) and visceral fat (R<sup>2</sup><sub>adj</sub> = 0.25), puberty onset (η<sub>p</sub><sup>2</sup> = 0.07), birth length (R<sup>2</sup><sub>adj</sub> = 0.03), and the increase of BMI over the 5-year period between the two follow-ups in young adulthood (R<sup>2</sup><sub>adj</sub> = 0.09). …”
  10. 43850

    The SMO pCT interacts with PKA-C. by Corvin D. Arveseth (10688311)

    Published 2021
    “…(<b>D</b>) A clonal IMCD3 cell line in which the endogenous SMO locus was modified to contain a BRET donor (“HiBiT Knock-in”; see <b><a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001191#pbio.3001191.s005" target="_blank">S5A–S5C Fig</a></b>) was transiently transfected with 0.9 μg of YFP-tagged PKA-R or an equivalent amount of PKA-C-YFP, corresponding to a 5% increase in PKA-C compared to endogenous levels (see western blots performed with parental IMCD3 cells in (C)). …”
  11. 43851

    Image_1_Gender- and Age-Associated Differences in Bone Marrow Adipose Tissue and Bone Marrow Fat Unsaturation Throughout the Skeleton, Quantified Using Chemical Shift Encoding-Base... by Kerensa M. Beekman (12467511)

    Published 2022
    “…The femoral fat fraction increased from proximal to distal (proximal 0.78 ± 0.09; diaphysis 0.86 (0.15); distal 0.93 ± 0.02; p < 0.001), while within the tibia the fat fraction decreased from proximal to distal (proximal 0.92 ± 0.01; diaphysis 0.91 (0.02); distal 0.90 ± 0.01; p < 0.001). …”
  12. 43852

    Image_2_Gender- and Age-Associated Differences in Bone Marrow Adipose Tissue and Bone Marrow Fat Unsaturation Throughout the Skeleton, Quantified Using Chemical Shift Encoding-Base... by Kerensa M. Beekman (12467511)

    Published 2022
    “…The femoral fat fraction increased from proximal to distal (proximal 0.78 ± 0.09; diaphysis 0.86 (0.15); distal 0.93 ± 0.02; p < 0.001), while within the tibia the fat fraction decreased from proximal to distal (proximal 0.92 ± 0.01; diaphysis 0.91 (0.02); distal 0.90 ± 0.01; p < 0.001). …”
  13. 43853

    DataSheet_2_Global, Regional, and National Burden of Diabetes-Related Chronic Kidney Disease From 1990 to 2019.docx by Yujiao Deng (5526575)

    Published 2021
    “…Background<p>Chronic kidney disease (CKD) is a public health problem largely caused by diabetes. …”
  14. 43854

    DataSheet_1_Global, Regional, and National Burden of Diabetes-Related Chronic Kidney Disease From 1990 to 2019.pdf by Yujiao Deng (5526575)

    Published 2021
    “…Background<p>Chronic kidney disease (CKD) is a public health problem largely caused by diabetes. …”
  15. 43855

    GFA does not affect HCHO metabolism in <i>E</i>. <i>coli</i> cell lysate. by Richard J. Hopkinson (838133)

    Published 2015
    “…[<sup>13</sup>C]-HMG (as indicated by the resonances at δ<sub>H</sub> 2.96 ppm and δ<sub>H</sub> 3.09 ppm) was most abundant over early time points and decreased during the experiment, which correlated with time-dependent formation of [<sup>13</sup>C]-formate, [<sup>13</sup>C]-methanol and GSH. …”
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    Timeseries cross-correlation outputs by Dawn Barlow (8294067)

    Published 2021
    “…Lag between wind events and blue whale aggregations (n = 34 aggregations 2013-2019) was 2.09 ± 0.43 weeks. Variation in lag was significantly related to the amount of wind over the preceding 30 days, which likely influences stratification. …”
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