Showing 1 - 20 results of 4,479 for search '(( a ((linear decrease) OR (teer decrease)) ) OR ((( c larger decrease ) OR ( _ large decrease ))))', query time: 0.78s Refine Results
  1. 1
  2. 2

    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

    Published 2025
    “…(C) Mutualism also promotes an increase in network connectance when introduced into assembled communities, while stopping mutualistic interactions from entering an assembled system slowly decreases it. …”
  3. 3

    <b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

    Published 2025
    “…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …”
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16

    Baseline patient characteristics. by Oscar F. C. van den Bosch (22184246)

    Published 2025
    “…Changes during drug infusion were compared in a linear mixed model to assess the effects of s-ketamine and midazolam compared to saline. …”
  17. 17
  18. 18

    A Locally Linear Dynamic Strategy for Manifold Learning. by Weifan Wang (4669081)

    Published 2025
    “…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”
  19. 19
  20. 20

    Biases in larger populations. by Sander W. Keemink (21253563)

    Published 2025
    “…(<b>B</b>) Minimum and maximum bias in a long 1D array with rectified cosine tuning. Bias expressed in terms of the distance between neurons in a linear population of equally spaced neurons. …”