Showing 1,561 - 1,580 results of 7,006 for search 'significantly ((((less decrease) OR (greatest decrease))) OR (((we decrease) OR (nn decrease))))', query time: 0.61s Refine Results
  1. 1561

    Participant characteristics and study measures. by Evelyn Aboagye Addae (22648064)

    Published 2025
    “…While there was a significant direct negative effect of fear of COVID-19 on SWB in the absence of the mediators, there was no significant negative effect of fear of COVID-19 on SWB after adjusting for the mediators in the model. …”
  2. 1562

    Scores vs Skip ratios on single-agent task. by Hongjie Zhang (136127)

    Published 2025
    “…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”
  3. 1563

    Time(s) and GFLOPs savings of single-agent tasks. by Hongjie Zhang (136127)

    Published 2025
    “…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”
  4. 1564

    The source code of LazyAct. by Hongjie Zhang (136127)

    Published 2025
    “…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”
  5. 1565

    Win rate vs Skip ratios on multi-agents tasks. by Hongjie Zhang (136127)

    Published 2025
    “…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”
  6. 1566

    Visualization on SMAC-25m based on <i>LazyAct</i>. by Hongjie Zhang (136127)

    Published 2025
    “…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”
  7. 1567

    Single agent and multi-agents tasks for <i>LazyAct</i>. by Hongjie Zhang (136127)

    Published 2025
    “…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”
  8. 1568

    Network architectures for multi-agents task. by Hongjie Zhang (136127)

    Published 2025
    “…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”
  9. 1569

    Primers for RT-qPCR. by Jiaoyang Li (2862269)

    Published 2024
    “…To elucidate the function of NSP2 during PRRSV infection, we identified SH3KBP1 as an NSP2-interacting host protein using mass spectrometry. …”
  10. 1570

    LC_MS/MS analysis for OGG1 interactomes. by Lang Pan (5145221)

    Published 2024
    “…Importantly, inhibiting OGG1’s ability to recognize 8-oxoGua significantly decreases RSV progeny production. Our results underscore the viral replication machinery’s adaptation to oxidative challenges, suggesting that inhibiting OGG1’s reading function could be a novel strategy for antiviral intervention.…”
  11. 1571

    Primer sequences for RT q-PCR. by Lang Pan (5145221)

    Published 2024
    “…Importantly, inhibiting OGG1’s ability to recognize 8-oxoGua significantly decreases RSV progeny production. Our results underscore the viral replication machinery’s adaptation to oxidative challenges, suggesting that inhibiting OGG1’s reading function could be a novel strategy for antiviral intervention.…”
  12. 1572

    Oligo sequences for EMSA and excision assay. by Lang Pan (5145221)

    Published 2024
    “…Importantly, inhibiting OGG1’s ability to recognize 8-oxoGua significantly decreases RSV progeny production. Our results underscore the viral replication machinery’s adaptation to oxidative challenges, suggesting that inhibiting OGG1’s reading function could be a novel strategy for antiviral intervention.…”
  13. 1573

    Antibodies used in this study. by Kevin J. Kokesh (19859571)

    Published 2024
    “…Taken together, MARCKS protein is upregulated in CF cells and there is decreased phosphorylation of the protein due to a decrease in PKC activity and presumably increased cathepsin B mediated proteolysis of the protein after <i>M</i>. …”
  14. 1574

    Time and flowrate used for proteomics. by Kevin J. Kokesh (19859571)

    Published 2024
    “…Taken together, MARCKS protein is upregulated in CF cells and there is decreased phosphorylation of the protein due to a decrease in PKC activity and presumably increased cathepsin B mediated proteolysis of the protein after <i>M</i>. …”
  15. 1575

    S1 Graphical abstract - by Kevin J. Kokesh (19859571)

    Published 2024
    “…Taken together, MARCKS protein is upregulated in CF cells and there is decreased phosphorylation of the protein due to a decrease in PKC activity and presumably increased cathepsin B mediated proteolysis of the protein after <i>M</i>. …”
  16. 1576
  17. 1577

    Mean parameter values for the selected crops. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  18. 1578

    Performance comparison of ML models. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  19. 1579

    Comparative data of different soil samples. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  20. 1580

    Confusion matrix of random forest model. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”