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Showing 41 - 60 results of 8,769 for search '(( significant force based ) OR ( significantly ((largest decrease) OR (linear decrease)) ))', query time: 1.17s Refine Results
  1. 41
    Parameters for linear regression.

    Parameters for linear regression. by Dania AL-Najjar (11840857)

    Published 2022
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  2. 42
    Predicted cutting forces based on regression analysis for the proposed tool geometry values.

    Predicted cutting forces based on regression analysis for the proposed tool geometry values. by Sweta Baruah (18389450)

    Published 2024
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  3. 43
    Linear regression of PCS score.

    Linear regression of PCS score. by Le Dai Minh (14295271)

    Published 2022
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  4. 44
    Linear regression of MCS score.

    Linear regression of MCS score. by Le Dai Minh (14295271)

    Published 2022
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  5. 45
    Model coefficients and standard error values of the negative binomial generalized linear model for the number of juvenile Leach’s Storm-Petrels (<i>H</i>. <i>leucorhous</i>) found during night surveys at a seafood processing plant in Bay de Verde, Newfoundland and Labrador, Canada in 2021 and 2022.

    Model coefficients and standard error values of the negative binomial generalized linear model for the number of juvenile Leach’s Storm-Petrels (<i>H</i>. <i>leucorhous</i>) found... by Tori V. Burt (17261197)

    Published 2024
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  6. 46
    Force Plot Analysis with Significant AnionGap (0.3614) and TotalCO2 (0.3668) Influence at Base Value 0.37.

    Force Plot Analysis with Significant AnionGap (0.3614) and TotalCO2 (0.3668) Influence at Base Value 0.37. by Luyu Chai (12098204)

    Published 2025
    “…<p>Force Plot Analysis with Significant AnionGap (0.3614) and TotalCO2 (0.3668) Influence at Base Value 0.37.…”
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  7. 47
    Model coefficients, standard error values, and dispersion model of the negative binomial generalized linear model for the number of Leach’s Storm-Petrels (<i>H</i>. <i>leucorhous</i>) found during daily morning surveys at a seafood processing plant in Bay de Verde, Newfoundland and Labrador, Canada in 2021 and 2022.

    Model coefficients, standard error values, and dispersion model of the negative binomial generalized linear model for the number of Leach’s Storm-Petrels (<i>H</i>. <i>leucorhous</... by Tori V. Burt (17261197)

    Published 2024
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  8. 48
    Model coefficients, standard error values, and dispersion model of the negative binomial generalized linear model for the number of adult Leach’s Storm-Petrels (<i>H</i>. <i>leucorhous</i>) found during night surveys at a seafood processing plant in Bay de Verde, Newfoundland and Labrador, Canada in 2021 and 2022.

    Model coefficients, standard error values, and dispersion model of the negative binomial generalized linear model for the number of adult Leach’s Storm-Petrels (<i>H</i>. <i>leucor... by Tori V. Burt (17261197)

    Published 2024
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  9. 49
    Generalized linear model.

    Generalized linear model. by Daigo Sakamoto (11819864)

    Published 2021
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  10. 50
    All TEAM Occupancy from Tropical mammal functional diversity increases with productivity but decreases with anthropogenic disturbance

    All TEAM Occupancy from Tropical mammal functional diversity increases with productivity but decreases with anthropogenic disturbance by Daniel Gorczynski (10093617)

    Published 2021
    “…Mammal community functional dispersion increased with primary productivity, while functional richness decreased with human-induced local extinctions and was significantly lower in Madagascar than other tropical regions. …”
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  11. 51
    Average percentile rankings of selection forces based on each different partitioning structure.

    Average percentile rankings of selection forces based on each different partitioning structure. by Ruqin Ren (8833370)

    Published 2023
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  12. 52
    Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts.

    Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

    Published 2025
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  13. 53
    Fast Generation of Machine Learning-Based Force Fields for Adsorption Energies

    Fast Generation of Machine Learning-Based Force Fields for Adsorption Energies by Saientan Bag (9153828)

    Published 2021
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  14. 54
    Diagram of the mechanism by which PFAS causes a decrease in constipation.

    Diagram of the mechanism by which PFAS causes a decrease in constipation. by Yifan Zhao (659636)

    Published 2024
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  15. 55
    Join-point regression analysis of the statistically significant linear increase in use of anxiolytics, psychostimulants and noot ropic drugs, sedatives and hypnotics, gabapentinoids during the observed time period.

    Join-point regression analysis of the statistically significant linear increase in use of anxiolytics, psychostimulants and noot ropic drugs, sedatives and hypnotics, gabapentinoid... by Jelena Filimonovic (22305307)

    Published 2025
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  16. 56
    Results of the ANOVA analysis evaluating the statistical significance of variables on the value of the sliding force F<sub>Z.</sub>

    Results of the ANOVA analysis evaluating the statistical significance of variables on the value of the sliding force F<sub>Z.</sub> by Bartosz Wieczorek (8098352)

    Published 2025
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  17. 57
    The top 10 putative metabolites with the largest negative fold change between normal and thin cows.

    The top 10 putative metabolites with the largest negative fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

    Published 2025
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  18. 58
    The top 10 putative metabolites with the largest positive fold change between normal and thin cows.

    The top 10 putative metabolites with the largest positive fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

    Published 2025
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  19. 59
    Linear regression model with MBI score.

    Linear regression model with MBI score. by Nadia Yanet Cortés-Álvarez (18611445)

    Published 2024
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  20. 60
    Linear regression between PCB TEQ and ∑PCB in different study areas.

    Linear regression between PCB TEQ and ∑PCB in different study areas. by Matti Viluksela (321291)

    Published 2024
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