يعرض 161 - 180 نتائج من 24,455 نتيجة بحث عن '(((( ((i larvae) OR (a large)) decrease ) OR ( c cases increased ))) OR ( i large decrease ))', وقت الاستعلام: 1.13s تنقيح النتائج
  1. 161

    Spectral plots and cone contribution comparisons for <i>6BP+1</i> and <i>3BP</i> larva. حسب Ciana Deveau (9010346)

    منشور في 2020
    "…<p>(A) Scanning from 330 nm to 650 nm with constant quantal irradiance (4.6 log(quanta∙μm<sup>−2</sup>∙s<sup>−1</sup>) the <i>6BP+1</i> mutant (N = 12) shows a large drop in response amplitude for long wavelengths and a strong preference for UV wavelengths compared to the wild type (N = 17) and heterozygote (N = 16). …"
  2. 162
  3. 163
  4. 164

    Chemosensory sensilla of the <i>Drosophila</i> wing express a candidate ionotropic pheromone receptor حسب Zhe He (508742)

    منشور في 2019
    "…Mutation of <i>IR52a</i> and optogenetic silencing of IR52a<sup>+</sup> neurons decrease levels of male sexual behavior. …"
  5. 165
  6. 166

    Modelling of Large Protein Complexes حسب Patrick Bryant (11606596)

    منشور في 2022
    "…However, predicting protein complexes with more than a handful of chains is still unfeasible, as the accuracy rapidly decreases with the number of chains and the protein size is limited by the memory on a GPU. …"
  7. 167

    The effect of tensile feedback on constrictions in a disrupted zone with decreased constriction probability. حسب Michael C. Holcomb (11084420)

    منشور في 2021
    "…<p>(<b>A,B</b>) Simulation snapshots for the AGF model with a band of cells whose constriction probability is decreased by the factor <i>α</i><sub>r</sub> = 0.6 (top) 0.4 (middle) and 0.2 (bottom) relative to the probability outside the affected zone. …"
  8. 168
  9. 169
  10. 170
  11. 171
  12. 172
  13. 173
  14. 174

    Data_Sheet_1_The Proximal Drivers of Large Fires: A Pyrogeographic Study.docx حسب Hamish Clarke (8666307)

    منشور في 2020
    "…As in most fire-prone environments, the majority of annual burned area is due to a relatively small number of large fires. We train and test an Artificial Neural Network’s ability to predict spatial patterns in the probability of large fires (>1,250 ha) in forests and grasslands as a function of proxies of the four major controls on fire activity. …"
  15. 175
  16. 176
  17. 177
  18. 178
  19. 179
  20. 180