Showing 24,061 - 24,080 results of 42,905 for search '(( 50 ((a decrease) OR (teer decrease)) ) OR ( e ((mean decrease) OR (point decrease)) ))', query time: 1.19s Refine Results
  1. 24061

    The TMS-induced artifacts before and after skin preparation by puncturing and exfoliation. by Dominik Freche (202618)

    Published 2018
    “…(F-J) Same as (A-E) with skin exfoliation (green) instead of skin puncturing compared to control (red). …”
  2. 24062

    Image_4_Proteomic analysis reveals semaglutide impacts lipogenic protein expression in epididymal adipose tissue of obese mice.tif by Ruiyi Zhu (13963501)

    Published 2023
    “…The Intraperitoneal glucose tolerance test (IPGTT) was used to measure the blood glucose value at each time point and calculate the area under the glucose curve. …”
  3. 24063

    Image_6_Proteomic analysis reveals semaglutide impacts lipogenic protein expression in epididymal adipose tissue of obese mice.tif by Ruiyi Zhu (13963501)

    Published 2023
    “…The Intraperitoneal glucose tolerance test (IPGTT) was used to measure the blood glucose value at each time point and calculate the area under the glucose curve. …”
  4. 24064

    Table_3_Proteomic analysis reveals semaglutide impacts lipogenic protein expression in epididymal adipose tissue of obese mice.xlsx by Ruiyi Zhu (13963501)

    Published 2023
    “…The Intraperitoneal glucose tolerance test (IPGTT) was used to measure the blood glucose value at each time point and calculate the area under the glucose curve. …”
  5. 24065

    Image_5_Proteomic analysis reveals semaglutide impacts lipogenic protein expression in epididymal adipose tissue of obese mice.tif by Ruiyi Zhu (13963501)

    Published 2023
    “…The Intraperitoneal glucose tolerance test (IPGTT) was used to measure the blood glucose value at each time point and calculate the area under the glucose curve. …”
  6. 24066

    Table_4_Proteomic analysis reveals semaglutide impacts lipogenic protein expression in epididymal adipose tissue of obese mice.xlsx by Ruiyi Zhu (13963501)

    Published 2023
    “…The Intraperitoneal glucose tolerance test (IPGTT) was used to measure the blood glucose value at each time point and calculate the area under the glucose curve. …”
  7. 24067

    Table_2_Proteomic analysis reveals semaglutide impacts lipogenic protein expression in epididymal adipose tissue of obese mice.xlsx by Ruiyi Zhu (13963501)

    Published 2023
    “…The Intraperitoneal glucose tolerance test (IPGTT) was used to measure the blood glucose value at each time point and calculate the area under the glucose curve. …”
  8. 24068

    Summary of key results. by John R. Houser (783591)

    Published 2015
    “…All changes in regulation had begun by 10 h. At this point stress response genes were up-regulated and energy intensive processes were down-regulated. …”
  9. 24069

    Activity in an example network trained in the curve-tracing task. by Tobias Brosch (817553)

    Published 2015
    “…The curve tracing task induced an increase of activity of units representing the target curve (T1 and T2) and a decrease in the activity of units representing the distractor (D1 and D2; 95% point-wise confidence bands are within line width). …”
  10. 24070

    Testing possible mechanisms of state transitions. by Tobias Pfennig (19658783)

    Published 2024
    “…Each point shows a model with varied parameters for the state transition model. …”
  11. 24071
  12. 24072

    The “<i>A</i>–<i>B</i>–<i>P</i> network” model recapitulates the spatial profile of apical–basal polarity formation and remodeling in the <i>Drosophila</i> cellular blastoderm.... by Fu-Lai Wen (11798016)

    Published 2021
    “…Each experimental datapoint represents the mean measurement from one embryo. Error bars are standard deviations of sample sizes <i>n</i> = 20–30 for the initiating cells or <i>n</i> = 70–100 for the neighboring cells. …”
  13. 24073
  14. 24074

    S4 Fig - by Meghal Desai (15201231)

    Published 2024
    “…(<b>D</b>) DLS experiments with recombinant Mrj over 3 days show its shift to higher sizes with time. (<b>E</b>) Left panel shows a representative SDD-AGE from S2 cell lysate coexpressing HttQ138-RFP along with CG7133 and Mrj showed a decreased amount of Htt oligomers in presence of Mrj. …”
  15. 24075

    Ptch1 Inhibits Smo Intercellularly by Maarten F Bijlsma (380371)

    Published 2013
    “…Intercellular capacity of Ptch1 to inhibit Smo was assessed by mixing reporter cells overexpressing Smo and a Gli reporter with Ptch1-overexpressing donor cells. The observed decrease in Gli reporter activity could not be inhibited by the addition of 1 μg/ml 5E1 Shh-blocking antibody. …”
  16. 24076

    Exocrine gland dysfunction in matriptase-deficient mice. by Hongen Yin (351667)

    Published 2014
    “…Data shown are the mean ± SEM for each group. Statistical significance was determined using an unpaired Student’s two-tailed <i>t</i> test. …”
  17. 24077

    Dose planning study of proton versus photon radiotherapy for head and neck squamous cell carcinoma of unknown primary in the primary and recurrent setting by Anne Ivalu Sander Holm (3996290)

    Published 2023
    “…However, using protons for re-irradiation only leads to a decrease in the tissue volume receiving a specific dose outside the target overlapping region, e.g., V90Gy<sub>mean</sub> was 31, 25, and 22 cm<sup>3</sup> for photons-photons, photons-protons, and protons-protons, respectively. …”
  18. 24078
  19. 24079

    DDB2, XPC and p53 follow same induction/translocation pattern after UV exposure in NHEK and HCEC. by Justin D. Mallet (3111555)

    Published 2016
    “…(B) Quantitative analysis of Western blots shows a rapid increase of DDB2 on the CB fraction and a (E) rapid decrease in NS post-UV irradiation (unirradiated control vs 0h post-UV) in both NHEK and HCEC. …”
  20. 24080

    Trade-offs in interspecific comparisons in plant ecology and how plants overcome proposed constraints by Peter J. Grubb (751581)

    Published 2015
    “…Any two species in the study are expected, in theory, to show a true trade-off, i.e. feature <i>A</i> must decrease for feature <i>B</i> to increase. …”