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Showing 941 - 960 results of 21,342 for search '(( significant ((step decrease) OR (we decrease)) ) OR ( significant decrease decrease ))', query time: 0.62s Refine Results
  1. 941
    Detail of the encoder.

    Detail of the encoder. by Yuanming Ding (12842858)

    Published 2025
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  2. 942
    Detail of the Fourier transform.

    Detail of the Fourier transform. by Yuanming Ding (12842858)

    Published 2025
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  3. 943
    Detail of the decoder.

    Detail of the decoder. by Yuanming Ding (12842858)

    Published 2025
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  4. 944
    Parameter sensitivity analysis results for <i>T</i><sub><i>h</i></sub> (PeMSD8 dataset, 1-hour prediction).

    Parameter sensitivity analysis results for <i>T</i><sub><i>h</i></sub> (PeMSD8 dataset, 1-hour prediction). by Yuanming Ding (12842858)

    Published 2025
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  5. 945
    Parameter sensitivity analysis results for <i>T</i><sub><i>w</i></sub> (PeMSD8 dataset, 1-hour prediction).

    Parameter sensitivity analysis results for <i>T</i><sub><i>w</i></sub> (PeMSD8 dataset, 1-hour prediction). by Yuanming Ding (12842858)

    Published 2025
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  6. 946
    Parameter sensitivity analysis results for <i>T</i><sub><i>d</i></sub> (PeMSD8 dataset, 1-hour prediction).

    Parameter sensitivity analysis results for <i>T</i><sub><i>d</i></sub> (PeMSD8 dataset, 1-hour prediction). by Yuanming Ding (12842858)

    Published 2025
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  7. 947
    Encoder-decoder architecture.

    Encoder-decoder architecture. by Yuanming Ding (12842858)

    Published 2025
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  8. 948
    PeMSD4.

    PeMSD4. by Yuanming Ding (12842858)

    Published 2025
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  9. 949
    Schematic diagram of the ESGCN-EDM model structure.

    Schematic diagram of the ESGCN-EDM model structure. by Yuanming Ding (12842858)

    Published 2025
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  10. 950
    Dataset description.

    Dataset description. by Yuanming Ding (12842858)

    Published 2025
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  11. 951
    Significant inter-relationships between baseline variables and MSCC or MCS.

    Significant inter-relationships between baseline variables and MSCC or MCS. by Harshit Arora (22008280)

    Published 2025
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  12. 952
    Primers used in ChIP-PCR.

    Primers used in ChIP-PCR. by Lorenza Cutrone (21144285)

    Published 2025
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  13. 953
    Primers used in RTqPCR.

    Primers used in RTqPCR. by Lorenza Cutrone (21144285)

    Published 2025
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  14. 954
    Variables of trees located at coordinates .

    Variables of trees located at coordinates . by Alexandra M. Campbell (3284094)

    Published 2025
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  15. 955
    All-Atom Simulations Reveal the Effect of Membrane Composition on the Signaling of the NKG2A/CD94/HLA‑E Immune Receptor Complex

    All-Atom Simulations Reveal the Effect of Membrane Composition on the Signaling of the NKG2A/CD94/HLA‑E Immune Receptor Complex by Martin Ljubič (15680161)

    Published 2024
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  16. 956
    Global parameters and variables for the model.

    Global parameters and variables for the model. by Alexandra M. Campbell (3284094)

    Published 2025
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  17. 957
    Variables of patch located at coordinates .

    Variables of patch located at coordinates . by Alexandra M. Campbell (3284094)

    Published 2025
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  18. 958
    MRSP Data collected in March 2018.

    MRSP Data collected in March 2018. by Alexandra M. Campbell (3284094)

    Published 2025
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  19. 959
    Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.

    Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

    Published 2024
    “…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”
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  20. 960
    Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate decreases, the range of residual variations also becomes smaller.

    Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate... by Hua Huo (1818133)

    Published 2025
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