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Showing 81 - 100 results of 46,030 for search '(( significantly ((smaller decrease) OR (small decrease)) ) OR ( significant predicted based ))', query time: 1.27s Refine Results
  1. 81
    Variables for the bromeliad agent representing a single <i>T. utriculata</i> rosette.

    Variables for the bromeliad agent representing a single <i>T. utriculata</i> rosette. by Alexandra M. Campbell (3284094)

    Published 2025
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  2. 82
    Variables of patch located at coordinates .

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

    Published 2025
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  3. 83
    MRSP Tree Host Data.

    MRSP Tree Host Data. by Alexandra M. Campbell (3284094)

    Published 2025
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  4. 84
    Distribution of population at final time (left) and change in mean MSI at final time (right) from simulations across 1000 parameter sets when weevils are absent (red) and with weevils present for <i>T</i><sub><i>p</i></sub> years (blue).

    Distribution of population at final time (left) and change in mean MSI at final time (right) from simulations across 1000 parameter sets when weevils are absent (red) and with weev... by Alexandra M. Campbell (3284094)

    Published 2025
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  5. 85
    <i>Tillandsia utriculata</i> death rate data by size class.

    <i>Tillandsia utriculata</i> death rate data by size class. by Alexandra M. Campbell (3284094)

    Published 2025
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  6. 86
    Distribution of final population size (A) and mean change in mean MSI over time (B) over 100 simulations for each parameter set shown in Table 3 in the absence of weevils (left) and with weevils present for <i>T</i><sub><i>p</i></sub> years (right); each color represents a single experiment (100 simulations of 1 parameter set).

    Distribution of final population size (A) and mean change in mean MSI over time (B) over 100 simulations for each parameter set shown in Table 3 in the absence of weevils (left) an... by Alexandra M. Campbell (3284094)

    Published 2025
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  7. 87
    Histograms of (A) distance measured in meters to nearest neighboring tree given bin widths of 2 m (<i>n</i> = 44), and (B) basal areas of all sampled trees (<i>n</i> = 58; bin width ) with only fitted Weibull distribution shown, .

    Histograms of (A) distance measured in meters to nearest neighboring tree given bin widths of 2 m (<i>n</i> = 44), and (B) basal areas of all sampled trees (<i>n</i> = 58; bin widt... by Alexandra M. Campbell (3284094)

    Published 2025
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  8. 88
    Parameter sets generated through Latin hypercube sampling.

    Parameter sets generated through Latin hypercube sampling. by Alexandra M. Campbell (3284094)

    Published 2025
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  9. 89
    Each square gives extinction probability p (AB) or median population change d (CD) for 100 simulations at .

    Each square gives extinction probability p (AB) or median population change d (CD) for 100 simulations at . by Alexandra M. Campbell (3284094)

    Published 2025
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  10. 90
    Lifespan of a single <i>T. utriculata</i> rosette.

    Lifespan of a single <i>T. utriculata</i> rosette. by Alexandra M. Campbell (3284094)

    Published 2025
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  11. 91
    Ribosomal protein subunit large (Rpl) and small (Rps) transcripts are expressed at decreased levels at the site of <i>L</i>. <i>major</i> infection.

    Ribosomal protein subunit large (Rpl) and small (Rps) transcripts are expressed at decreased levels at the site of <i>L</i>. <i>major</i> infection. by Gopinath Venugopal (638444)

    Published 2022
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  12. 92
    The spike-in of synthetic hsa-lest-7a-5p miRNA decreases the Ct Values of extracted small RNA samples.

    The spike-in of synthetic hsa-lest-7a-5p miRNA decreases the Ct Values of extracted small RNA samples. by Marc Van Der Hofstadt (1423027)

    Published 2024
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  13. 93
    Observed and predicted changes for the five metabolites significantly associated with the rs603424 SNP.

    Observed and predicted changes for the five metabolites significantly associated with the rs603424 SNP. by Juliette Cooke (11402543)

    Published 2024
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  14. 94
    The comparisons of power under 5% significance level based on 5000 Monte Carlo simulations.

    The comparisons of power under 5% significance level based on 5000 Monte Carlo simulations. by Long Liu (390523)

    Published 2022
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  15. 95
    Analysis of significantly different lipids between the normoxia and hypoxia groups.

    Analysis of significantly different lipids between the normoxia and hypoxia groups. by Hong Liang (116853)

    Published 2022
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  16. 96
    Image_3_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.tif

    Image_3_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.tif by Guodong Jing (13048956)

    Published 2022
    “…Objective<p>To develop and validate a multimodal MRI-based radiomics nomogram for predicting clinically significant prostate cancer (CS-PCa).…”
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  17. 97
    Table_1_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.docx

    Table_1_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.docx by Guodong Jing (13048956)

    Published 2022
    “…Objective<p>To develop and validate a multimodal MRI-based radiomics nomogram for predicting clinically significant prostate cancer (CS-PCa).…”
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  18. 98
    Table_3_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.docx

    Table_3_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.docx by Guodong Jing (13048956)

    Published 2022
    “…Objective<p>To develop and validate a multimodal MRI-based radiomics nomogram for predicting clinically significant prostate cancer (CS-PCa).…”
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  19. 99
    Table_2_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.docx

    Table_2_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.docx by Guodong Jing (13048956)

    Published 2022
    “…Objective<p>To develop and validate a multimodal MRI-based radiomics nomogram for predicting clinically significant prostate cancer (CS-PCa).…”
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  20. 100
    Image_2_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.tif

    Image_2_Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram.tif by Guodong Jing (13048956)

    Published 2022
    “…Objective<p>To develop and validate a multimodal MRI-based radiomics nomogram for predicting clinically significant prostate cancer (CS-PCa).…”
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