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largest decrease » largest decreases (Expand Search), marked decrease (Expand Search)
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Showing 161 - 180 results of 5,867 for search '(( a ((teer decrease) OR (nn decrease)) ) OR ( i ((largest decrease) OR (larger decrease)) ))', query time: 0.38s Refine Results
  1. 161
    S4 Fig -

    S4 Fig - by Jordan K. Abbott (8934239)

    Published 2022
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  2. 162
    S14 Fig -

    S14 Fig - by Jordan K. Abbott (8934239)

    Published 2022
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  3. 163
    Statistically-significant cytokine changes between the pre-infusion and post-infusion blood draws plot of the mean (dot) and confidence interval (whiskers) for the coefficients of the pre-infusion to post-infusion interval.

    Statistically-significant cytokine changes between the pre-infusion and post-infusion blood draws plot of the mean (dot) and confidence interval (whiskers) for the coefficients of... by Jordan K. Abbott (8934239)

    Published 2022
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  4. 164
    S17 Fig -

    S17 Fig - by Jordan K. Abbott (8934239)

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  5. 165
    S9 Fig -

    S9 Fig - by Jordan K. Abbott (8934239)

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  6. 166
    S5 Fig -

    S5 Fig - by Jordan K. Abbott (8934239)

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  7. 167
    S12 Fig -

    S12 Fig - by Jordan K. Abbott (8934239)

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  8. 168
    S3 Fig -

    S3 Fig - by Jordan K. Abbott (8934239)

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  9. 169
    Proportion of T cells with Treg Phenotype increases from pre-infusion to day 7.

    Proportion of T cells with Treg Phenotype increases from pre-infusion to day 7. by Jordan K. Abbott (8934239)

    Published 2022
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  10. 170
    Patient demographics.

    Patient demographics. by Jordan K. Abbott (8934239)

    Published 2022
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  11. 171
    S16 Fig -

    S16 Fig - by Jordan K. Abbott (8934239)

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  12. 172
    Generalizable improvement of QOL measures on day 7 vs. infusion day.

    Generalizable improvement of QOL measures on day 7 vs. infusion day. by Jordan K. Abbott (8934239)

    Published 2022
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  13. 173
    Significant relationships between QOL measures on infusion day and day 7.

    Significant relationships between QOL measures on infusion day and day 7. by Jordan K. Abbott (8934239)

    Published 2022
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  14. 174
    S8 Fig -

    S8 Fig - by Jordan K. Abbott (8934239)

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  15. 175
    S7 Fig -

    S7 Fig - by Jordan K. Abbott (8934239)

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  16. 176
    S6 Fig -

    S6 Fig - by Jordan K. Abbott (8934239)

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  17. 177
    S13 Fig -

    S13 Fig - by Jordan K. Abbott (8934239)

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  18. 178
    S11 Fig -

    S11 Fig - by Jordan K. Abbott (8934239)

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  19. 179
    S10 Fig -

    S10 Fig - by Jordan K. Abbott (8934239)

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  20. 180
    Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration

    Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration by Henry J. Tanudjaja (12106715)

    Published 2022
    “…Exceptions were found in specific cases when casein concentration was the most dominant, since the smaller sizes of casein significantly decreased <i>J</i><sub>crit</sub>. The NN model predicted the best when all nine input parameters were integrated and the worst when CFV was the sole parameter used for model development, even though CFV was identified as the most dominant. …”
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