Showing 145,621 - 145,640 results of 228,154 for search '(( 50 ((mean decrease) OR (nn decrease)) ) OR ( 10 ((we decrease) OR (a decrease)) ))', query time: 2.41s Refine Results
  1. 145621
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    Clinical experience with titrating doses of digoxin antibodies in acute digoxin poisoning. (ATOM-6) by Betty S. Chan (6386723)

    Published 2021
    “…<p>For acute digoxin poisoning, it has been recommended to give bolus doses of 10–20 vials or potentially larger than needed doses calculated from dose ingested or the measured concentration. …”
  9. 145629

    Supplementary Material for: The 20-year trends in caries and associated determinants among adults in “post-Soviet” Lithuania: repeated cross-sectional studies by Stangvaltaite-Mouhat L. (9382166)

    Published 2023
    “…The 1997/1998 survey (first survey) recruited a stratified random sample of 570 individuals from 10 selected areas in Lithuania (response rate 52%) and the 2017/2019 survey (second survey) recruited a stratified random sample of 723 individuals from 5 biggest Lithuanian cities and one randomly selected peri-urban/rural area from each of 10 Lithuanian counties (response rate 53%). …”
  10. 145630

    Rate-specific template effects on the STI (Wisler et al., 2025) by Alan Wisler (14583050)

    Published 2025
    “…<i>Journal of Speech, Language, and Hearing Research</i><i>, </i><i>68</i>(12), 5820–5832. <a href="https://doi.org/10.1044/2025_JSLHR-25-00279" rel="noreferrer" target="_blank">https://doi.org/10.1044/2025_JSLHR-25-00279</a></p>…”
  11. 145631

    Axoplasmic ATP concentration is reduced in <i>Plp</i><sup>null/y</sup> mice under basal conditions. by Andrea Trevisiol (9647910)

    Published 2020
    “…<p>(A) ATP sensor ratio at baseline conditions. <i>n</i> = 10 and <i>n</i> = 8 nerves from <i>N</i> = 10 and 8 mice (age 10 weeks) for ThyAT/<i>Plp</i><sup>wt/y</sup> (control [Ctrl]) and ThyAT/<i>Plp</i><sup>null/y</sup> (<i>Plp</i><sup>null/y</sup>), respectively. …”
  12. 145632

    Table_3_Fecal microbial and metabolic characteristics of swine from birth to market.CSV by Huan He (548057)

    Published 2023
    “…The correlation between fecal metabolites and microbiota revealed that the microbes with an increasing trend were positively correlated with the metabolites affecting the tryptophan metabolic pathway from the overall trend, while the microbes with a decreasing trend were opposite. In addition, the microbes with an increasing trend were negatively correlated with the metabolites affecting the lysine pathway.…”
  13. 145633

    Table_2_Fecal microbial and metabolic characteristics of swine from birth to market.CSV by Huan He (548057)

    Published 2023
    “…The correlation between fecal metabolites and microbiota revealed that the microbes with an increasing trend were positively correlated with the metabolites affecting the tryptophan metabolic pathway from the overall trend, while the microbes with a decreasing trend were opposite. In addition, the microbes with an increasing trend were negatively correlated with the metabolites affecting the lysine pathway.…”
  14. 145634

    Table_1_Fecal microbial and metabolic characteristics of swine from birth to market.CSV by Huan He (548057)

    Published 2023
    “…The correlation between fecal metabolites and microbiota revealed that the microbes with an increasing trend were positively correlated with the metabolites affecting the tryptophan metabolic pathway from the overall trend, while the microbes with a decreasing trend were opposite. In addition, the microbes with an increasing trend were negatively correlated with the metabolites affecting the lysine pathway.…”
  15. 145635

    Data_Sheet_1_Fecal microbial and metabolic characteristics of swine from birth to market.pdf by Huan He (548057)

    Published 2023
    “…The correlation between fecal metabolites and microbiota revealed that the microbes with an increasing trend were positively correlated with the metabolites affecting the tryptophan metabolic pathway from the overall trend, while the microbes with a decreasing trend were opposite. In addition, the microbes with an increasing trend were negatively correlated with the metabolites affecting the lysine pathway.…”
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