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Showing 1 - 20 results of 19,565 for search '(( significantly improved decrease ) OR ( significant problems decreased ))', query time: 0.31s Refine Results
  1. 1
    The linearly decreasing convergence factor a.

    The linearly decreasing convergence factor a. by Junhao Wei (6816803)

    Published 2025
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  2. 2
    Lifespan curves of <i>InR</i><sup>[E19]</sup>/TM2 <i>D</i>. <i>melanogaster</i> in four groups.

    Lifespan curves of <i>InR</i><sup>[E19]</sup>/TM2 <i>D</i>. <i>melanogaster</i> in four groups. by Denghui Wang (10275794)

    Published 2022
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  3. 3
    Relative abundance of <i>Acetobacter</i>, <i>Wolbachia</i>, and <i>Lactobacillus</i> in the four groups.

    Relative abundance of <i>Acetobacter</i>, <i>Wolbachia</i>, and <i>Lactobacillus</i> in the four groups. by Denghui Wang (10275794)

    Published 2022
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  4. 4
    S1 Data -

    S1 Data - by Denghui Wang (10275794)

    Published 2022
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  5. 5
    Gut microbiota diversity indices of <i>InR</i><sup>[E19]</sup>/TM2 <i>D</i>. <i>melanogaster</i> in the four groups.

    Gut microbiota diversity indices of <i>InR</i><sup>[E19]</sup>/TM2 <i>D</i>. <i>melanogaster</i> in the four groups. by Denghui Wang (10275794)

    Published 2022
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  6. 6
    Fig 7 -

    Fig 7 - by Denghui Wang (10275794)

    Published 2022
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  7. 7
    Body weight of <i>InR</i><sup>[E19]/</sup>TM2 <i>D</i>. <i>melanogaster</i> on days 10 (10D), 20 (20D), and 30 (30D) in the four groups.

    Body weight of <i>InR</i><sup>[E19]/</sup>TM2 <i>D</i>. <i>melanogaster</i> on days 10 (10D), 20 (20D), and 30 (30D) in the four groups. by Denghui Wang (10275794)

    Published 2022
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  8. 8
    Fig 3 -

    Fig 3 - by Denghui Wang (10275794)

    Published 2022
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  9. 9
    NMDS analysis and PCoA showing the shifts in the bacterial communities driven by BL, AE and BA among all samples.

    NMDS analysis and PCoA showing the shifts in the bacterial communities driven by BL, AE and BA among all samples. by Denghui Wang (10275794)

    Published 2022
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  10. 10
    Deletion of C3 and C3aR reversed <i>S. aureus</i>-induced decrease in synapse density and increase in microglial phagocytosis of synapses.

    Deletion of C3 and C3aR reversed <i>S. aureus</i>-induced decrease in synapse density and increase in microglial phagocytosis of synapses. by Haifang Zhang (314544)

    Published 2025
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  11. 11
    Clustering-based metaheuristic.

    Clustering-based metaheuristic. by Almiqdad Elzein (13141038)

    Published 2022
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  12. 12
    S1 Data -

    S1 Data - by Almiqdad Elzein (13141038)

    Published 2022
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  13. 13
    Pitfalls of merging only considering end-points.

    Pitfalls of merging only considering end-points. by Almiqdad Elzein (13141038)

    Published 2022
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  14. 14
    Transformation from RPP to TSP for path merging.

    Transformation from RPP to TSP for path merging. by Almiqdad Elzein (13141038)

    Published 2022
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  15. 15
    Performance of <i>MH</i><sub><i>G</i></sub> vs. <i>H</i><sub><i>G</i></sub>.

    Performance of <i>MH</i><sub><i>G</i></sub> vs. <i>H</i><sub><i>G</i></sub>. by Almiqdad Elzein (13141038)

    Published 2022
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  16. 16
    Performance of Gurobi as standalone algorithm and when used in the clustering metaheuristic (<i>Flat</i> instances).

    Performance of Gurobi as standalone algorithm and when used in the clustering metaheuristic (<i>Flat</i> instances). by Almiqdad Elzein (13141038)

    Published 2022
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  17. 17
    S2 Data -

    S2 Data - by Almiqdad Elzein (13141038)

    Published 2022
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  18. 18
    Performance of EA4OP as standalone algorithm and when used in the clustering metaheuristic (<i>Flat</i> instances).

    Performance of EA4OP as standalone algorithm and when used in the clustering metaheuristic (<i>Flat</i> instances). by Almiqdad Elzein (13141038)

    Published 2022
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  19. 19
    Performance of <i>MH</i><sub><i>EA</i>4<i>OP</i></sub> vs. <i>H</i><sub><i>EA</i>4<i>OP</i></sub>.

    Performance of <i>MH</i><sub><i>EA</i>4<i>OP</i></sub> vs. <i>H</i><sub><i>EA</i>4<i>OP</i></sub>. by Almiqdad Elzein (13141038)

    Published 2022
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  20. 20
    Performance of Gurobi as standalone algorithm and when used in the clustering metaheuristic (<i>Random</i> instances).

    Performance of Gurobi as standalone algorithm and when used in the clustering metaheuristic (<i>Random</i> instances). by Almiqdad Elzein (13141038)

    Published 2022
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