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significantly reduce » significantly reduced (Expand Search), significantly greater (Expand Search)
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Showing 41 - 60 results of 28,421 for search '(( significantly reduce decrease ) OR ( significantly ((water decreases) OR (teer decrease)) ))*', query time: 0.67s Refine Results
  1. 41
    Transepithelial electrical resistance (TEER) (N = 6).

    Transepithelial electrical resistance (TEER) (N = 6). by Shirko Marcel Shokr (19173337)

    Published 2024
    “…<p><b>(A)</b> During the cultivation of SMC and ALI we observed significantly differences on day 18 (SMC: 9.61 kΩ*cm<sup>2</sup>; ALI: 7.73 kΩ*cm<sup>2</sup>; p<0.05) and day 25 (SMC: 8.19 kΩ*cm<sup>2</sup>; ALI: 6.44 kΩ*cm<sup>2</sup>; p<0.05) ALI cultures showed significantly decreased values compared to SMC. …”
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  2. 42
    αENaC and S protein compete for furin-mediated cleavage in a cellular system.

    αENaC and S protein compete for furin-mediated cleavage in a cellular system. by Germán Ricardo Magaña-Ávila (18446799)

    Published 2024
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  3. 43
    Immunostaining of lungs from a control mouse and a mouse infected with SARS-CoV-2.

    Immunostaining of lungs from a control mouse and a mouse infected with SARS-CoV-2. by Germán Ricardo Magaña-Ávila (18446799)

    Published 2024
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  4. 44
    Schematic representation of the proposed mechanism by which S protein expression may affect ENaC activity.

    Schematic representation of the proposed mechanism by which S protein expression may affect ENaC activity. by Germán Ricardo Magaña-Ávila (18446799)

    Published 2024
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  5. 45
    County-level geographical septile distribution for the first 12 statistically significant factors with at least one statistically significant coefficient ranked by decreasing ΔIC.

    County-level geographical septile distribution for the first 12 statistically significant factors with at least one statistically significant coefficient ranked by decreasing ΔIC. by Yanan Long (11784717)

    Published 2021
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  6. 46
    Temporal fluctuations in measured physicochemical parameters of the seawater at both the surface and bottom of each of the three sampling locations.

    Temporal fluctuations in measured physicochemical parameters of the seawater at both the surface and bottom of each of the three sampling locations. by Saja A. Fakhraldeen (14929812)

    Published 2023
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  7. 47
    Differential abundance analysis via Metastats—Station 18 versus Station A—Family-level analysis.

    Differential abundance analysis via Metastats—Station 18 versus Station A—Family-level analysis. by Saja A. Fakhraldeen (14929812)

    Published 2023
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  8. 48
    Differential heat tree analysis—Station K6 versus Station A.

    Differential heat tree analysis—Station K6 versus Station A. by Saja A. Fakhraldeen (14929812)

    Published 2023
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  9. 49
    Differential heat tree analysis—Station K6 versus Station 18.

    Differential heat tree analysis—Station K6 versus Station 18. by Saja A. Fakhraldeen (14929812)

    Published 2023
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  10. 50
    Summary of Principal Component Analysis (PCA) findings.

    Summary of Principal Component Analysis (PCA) findings. by Saja A. Fakhraldeen (14929812)

    Published 2023
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  11. 51
    Differential abundance analysis via Metastats—Station K6 versus Station 18—Genus-level analysis.

    Differential abundance analysis via Metastats—Station K6 versus Station 18—Genus-level analysis. by Saja A. Fakhraldeen (14929812)

    Published 2023
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  12. 52
    Analysis of Similarity (ANOSIM) findings.

    Analysis of Similarity (ANOSIM) findings. by Saja A. Fakhraldeen (14929812)

    Published 2023
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  13. 53
    Differential abundance analysis via Metastats—Station K6 versus Station A—Species-level analysis.

    Differential abundance analysis via Metastats—Station K6 versus Station A—Species-level analysis. by Saja A. Fakhraldeen (14929812)

    Published 2023
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  14. 54
    Differential abundance analysis via Metastats—Station K6 versus Station A—Species-level analysis.

    Differential abundance analysis via Metastats—Station K6 versus Station A—Species-level analysis. by Saja A. Fakhraldeen (14929812)

    Published 2023
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  15. 55
    Differential abundance analysis via Metastats—Surface versus bottom samples—Species-level analysis.

    Differential abundance analysis via Metastats—Surface versus bottom samples—Species-level analysis. by Saja A. Fakhraldeen (14929812)

    Published 2023
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  16. 56
    Differential abundance analysis via Metastats—Surface versus bottom samples—Family-level analysis.

    Differential abundance analysis via Metastats—Surface versus bottom samples—Family-level analysis. by Saja A. Fakhraldeen (14929812)

    Published 2023
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  17. 57
    Differential abundance analysis via Metastats—Station K6 versus Station A—Genus-level analysis.

    Differential abundance analysis via Metastats—Station K6 versus Station A—Genus-level analysis. by Saja A. Fakhraldeen (14929812)

    Published 2023
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  18. 58
    Comparison of taxonomic distribution of bacterial and archaeal populations relative to sampling location (Station 18 (n = 12) versus Station A (n = 12) versus Station K6 (n = 12)).

    Comparison of taxonomic distribution of bacterial and archaeal populations relative to sampling location (Station 18 (n = 12) versus Station A (n = 12) versus Station K6 (n = 12)). by Saja A. Fakhraldeen (14929812)

    Published 2023
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  19. 59
    Analysis of correlation between physicochemical parameter measurements and OTU abundance (genus-level)—Results from both Kendall and Spearman methods.

    Analysis of correlation between physicochemical parameter measurements and OTU abundance (genus-level)—Results from both Kendall and Spearman methods. by Saja A. Fakhraldeen (14929812)

    Published 2023
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  20. 60
    Differential abundance analysis via Metastats—Station K6 versus Station A—Family-level analysis.

    Differential abundance analysis via Metastats—Station K6 versus Station A—Family-level analysis. by Saja A. Fakhraldeen (14929812)

    Published 2023
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