Showing 141 - 160 results of 349 for search '(( significant decrease decrease ) OR ( significant i.e decrease ))~', query time: 0.34s Refine Results
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    State variable definitions. by Richard Lagos (21087738)

    Published 2025
    “…Furthermore, the sensitivity index on indicates that a 10% reduction in the average time spent by peri-urban dogs in urban and rural areas could result in a decrease of approximately 1% in In conclusion, including the host mobility factor allows us to observe that, in general, the number of infected in the domestic cycle of the disease increases, i.e., our mathematical model provides valuable information on the impact of host mobility on the transmission and spread of cystic echinococcosis.…”
  16. 156

    Map of the Comacchio Lagoon. by Katalin Patonai (11465287)

    Published 2025
    “…For comparability, the networks of two periods (i.e., pre- and post- transformation) were aggregated into food webs with 23 nodes. …”
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  18. 158

    PEDV and PDCoV infection impairs the cilium. by Tenghan Zhuang (22238809)

    Published 2025
    “…Notably, infection by either porcine epidemic diarrhea virus (PEDV) or porcine deltacoronavirus (PDCoV) resulted in a significant decrease in both the percentage of cells with cilium and the average ciliary length across all three porcine cell lines (<i>C-D, F-G, and I-J</i>). …”
  19. 159

    Predicted behavioural expression of young (orange) and old (blue) individuals that do (treatment) or do not (control) receive an immune challenge. by Antoine Bour (20489426)

    Published 2024
    “…If an immune-challenged individual’s sickness remains stable (i.e. there is no recovery or increased illness) between behavioural tests then we do not expect to find significant within-individual variation within either age category. …”
  20. 160

    Functional iKIR do not consistently modify detrimental genotypes. by Laura Mora-Bitria (20477525)

    Published 2024
    “…Examining the apparent iKIR modification of <i>DRB1*03</i>:<i>01-DQA1*05</i>:<i>01-DQB1*02</i>:<i>01</i> we found that it was explained by the negative correlation of <i>DRB1*03</i>:<i>01-DQA1*05</i>:<i>01-DQB1*02</i>:<i>01</i> with the protective genotype <i>DQA1*01</i>:<i>02-DQB1*06</i>:<i>02</i>, which is modified by functional iKIR score since, upon exclusion of <i>DQB1*0602</i> carriers, <i>DRB1*03</i>:<i>01-DQA1*05</i>:<i>01-DQB1*02</i>:<i>01</i> was no longer iKIR modified (the converse was not the case i.e. <i>DQA1*01</i>:<i>02-DQB1*06</i>:<i>02</i> was still significantly modified by functional iKIR when <i>DRB1*03</i>:<i>01-DQA1*05</i>:<i>01-DQB1*02</i>:<i>01</i> carriers were excluded from the cohort<i>)</i>. …”