Showing 1,361 - 1,380 results of 54,307 for search '(( 5 ((non decrease) OR (mean decrease)) ) OR ( 50 ((we decrease) OR (a decrease)) ))', query time: 1.25s Refine Results
  1. 1361

    Top 10 pathways with the lowest p-value. by Rizka Fatriani (17485787)

    Published 2024
    “…Molecular docking results between PPARG and EP300 with the ten active compounds showed a binding affinity value of ≤ -5.0 kcal/mol in all dockings, indicating strong binding. …”
  2. 1362

    Pseudocode of block-nested loop (BNL). by Rizka Fatriani (17485787)

    Published 2024
    “…Molecular docking results between PPARG and EP300 with the ten active compounds showed a binding affinity value of ≤ -5.0 kcal/mol in all dockings, indicating strong binding. …”
  3. 1363

    Top 10 gene ontologies with the lowest p-value. by Rizka Fatriani (17485787)

    Published 2024
    “…Molecular docking results between PPARG and EP300 with the ten active compounds showed a binding affinity value of ≤ -5.0 kcal/mol in all dockings, indicating strong binding. …”
  4. 1364
  5. 1365
  6. 1366
  7. 1367
  8. 1368
  9. 1369

    Pharmacological Mechanism of the Non-hallucinogenic 5‑HT<sub>2A</sub> Agonist Ariadne and Analogs by Michael J. Cunningham (14267038)

    Published 2022
    “…Ariadne is a non-hallucinogenic analog in the phenylalkylamine chemical class of psychedelics that is closely related to an established synthetic hallucinogen, 2,5-dimethoxy-4-methyl-amphetamine (DOM), differing only by one methylene group in the α-position to the amine. …”
  10. 1370

    Pharmacological Mechanism of the Non-hallucinogenic 5‑HT<sub>2A</sub> Agonist Ariadne and Analogs by Michael J. Cunningham (14267038)

    Published 2022
    “…Ariadne is a non-hallucinogenic analog in the phenylalkylamine chemical class of psychedelics that is closely related to an established synthetic hallucinogen, 2,5-dimethoxy-4-methyl-amphetamine (DOM), differing only by one methylene group in the α-position to the amine. …”
  11. 1371
  12. 1372
  13. 1373

    Non-Steady-State Fickian Diffusion Models Decrease the Estimated Gel Layer Diffusion Coefficient Uncertainty for Diffusive Gradients in Thin-Films Passive Samplers by Samuel D. Hodges (16412358)

    Published 2023
    “…A finite difference model (FDM) developed based on Fick’s second law with non-steady-state (N-SS) flux decreased uncertainty in <i>D</i><sub>Gel</sub> tenfold. …”
  14. 1374
  15. 1375
  16. 1376
  17. 1377
  18. 1378
  19. 1379
  20. 1380