Showing 11,521 - 11,540 results of 102,286 for search '(( 5 wt decrease ) OR ( 5 ((we decrease) OR (((a decrease) OR (mean decrease)))) ))', query time: 1.69s Refine Results
  1. 11521
  2. 11522

    Bidirectional Optical Control of Proton Motive Force in Escherichia coli Using Microbial Rhodopsins by Kotaro Nakanishi (3389300)

    Published 2024
    “…The motility of E. coli cells expressing <i>Rm</i>XeR and AR3 significantly decreased and increased upon illumination, respectively. …”
  3. 11523

    Bidirectional Optical Control of Proton Motive Force in Escherichia coli Using Microbial Rhodopsins by Kotaro Nakanishi (3389300)

    Published 2024
    “…The motility of E. coli cells expressing <i>Rm</i>XeR and AR3 significantly decreased and increased upon illumination, respectively. …”
  4. 11524

    Bidirectional Optical Control of Proton Motive Force in Escherichia coli Using Microbial Rhodopsins by Kotaro Nakanishi (3389300)

    Published 2024
    “…The motility of E. coli cells expressing <i>Rm</i>XeR and AR3 significantly decreased and increased upon illumination, respectively. …”
  5. 11525

    Bidirectional Optical Control of Proton Motive Force in Escherichia coli Using Microbial Rhodopsins by Kotaro Nakanishi (3389300)

    Published 2024
    “…The motility of E. coli cells expressing <i>Rm</i>XeR and AR3 significantly decreased and increased upon illumination, respectively. …”
  6. 11526

    Discrimination test—Reversal learning. by Verena Schuldenzucker (4500931)

    Published 2017
    “…<p>Results of the yellow box reversal learning Discrimination test for each visit v1 –v6 (means of six runs, compared between tgHD and wt minipigs). …”
  7. 11527

    hBre1 is a conserved target of the E1A proteins of multiple types of HAdV. by Gregory J. Fonseca (421739)

    Published 2013
    “…<p>(A) Evolutionary conservation of hBre1 binding with the E1A proteins of multiple HAdV types. …”
  8. 11528
  9. 11529
  10. 11530
  11. 11531
  12. 11532
  13. 11533
  14. 11534
  15. 11535

    Benchmarking DFT Accuracy in Predicting O 1s Binding Energies on Metals by Elizabeth E. Happel (22391811)

    Published 2025
    “…We find that as the binding energies of metal-bound atomic oxygen species increase, especially above ≈530 eV, there is a general decrease in the accuracy of DFT-predicted values. …”
  16. 11536

    Benchmarking DFT Accuracy in Predicting O 1s Binding Energies on Metals by Elizabeth E. Happel (22391811)

    Published 2025
    “…We find that as the binding energies of metal-bound atomic oxygen species increase, especially above ≈530 eV, there is a general decrease in the accuracy of DFT-predicted values. …”
  17. 11537
  18. 11538
  19. 11539

    Experimental and Computational Insight into the Mechanism of NO Binding to Ferric Microperoxidase. The Likely Role of Tautomerization to Account for the pH Dependence by Maria Oszajca (1833010)

    Published 2021
    “…From the pH dependence of the second-order rate constant for NO binding (<i>k</i><sub>on</sub>), we determined individual rate constants characterizing forms <b>1</b>–<b>3</b>, revealing only a ca. 10-fold decrease in the NO binding rate on going from <b>1</b> (<i>k</i><sub>on</sub><sup>(<b>1</b>)</sup> = 3.8 × 10<sup>6</sup> M<sup>–1</sup> s<sup>–1</sup>) to <b>2</b> (<i>k</i><sub>on</sub><sup>(<b>2</b>)</sup> = 4.0 × 10<sup>5</sup> M<sup>–1</sup> s<sup>–1</sup>) and the inertness of <b>3</b>. …”
  20. 11540