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Showing 21 - 40 results of 14,289 for search '(( 2020 due decrease ) OR ( 5 ((ng decrease) OR (((mean decrease) OR (nn decrease)))) ))', query time: 0.41s Refine Results
  1. 21
    Birthweights and gestational ages in neonatal intensive care unit of Fukuoka Tokushukai Hospital.

    Birthweights and gestational ages in neonatal intensive care unit of Fukuoka Tokushukai Hospital. by Hiromi Yamaguchi (2396248)

    Published 2022
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  2. 22
    Indicators of community mobility in Fukuoka prefecture.

    Indicators of community mobility in Fukuoka prefecture. by Hiromi Yamaguchi (2396248)

    Published 2022
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  3. 23
    Regression analysis to explain IgE in different age groups.

    Regression analysis to explain IgE in different age groups. by Hiromi Yamaguchi (2396248)

    Published 2022
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  4. 24
    Temporal changes in IgE.

    Temporal changes in IgE. by Hiromi Yamaguchi (2396248)

    Published 2022
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  5. 25
    Temporal negative correlation between total fertility rate and KD incidence.

    Temporal negative correlation between total fertility rate and KD incidence. by Hiromi Yamaguchi (2396248)

    Published 2022
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  6. 26
    IgG and gestational age in neonatal intensive care unit (NICU).

    IgG and gestational age in neonatal intensive care unit (NICU). by Hiromi Yamaguchi (2396248)

    Published 2022
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  7. 27
    IgG and age.

    IgG and age. by Hiromi Yamaguchi (2396248)

    Published 2022
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  8. 28
    Numbers of individuals for whom total nonspecific IgG or IgE were measured between 2010 and 2021.

    Numbers of individuals for whom total nonspecific IgG or IgE were measured between 2010 and 2021. by Hiromi Yamaguchi (2396248)

    Published 2022
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  9. 29
    Periodicity of IgE.

    Periodicity of IgE. by Hiromi Yamaguchi (2396248)

    Published 2022
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  10. 30
    Linear regression coefficients to explain IgG in different age groups.

    Linear regression coefficients to explain IgG in different age groups. by Hiromi Yamaguchi (2396248)

    Published 2022
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  11. 31
    IgG distributions of patients with KD and matched control individuals.

    IgG distributions of patients with KD and matched control individuals. by Hiromi Yamaguchi (2396248)

    Published 2022
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  12. 32
    Temporal changes in IgG.

    Temporal changes in IgG. by Hiromi Yamaguchi (2396248)

    Published 2022
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  13. 33
    IgG periodicity.

    IgG periodicity. by Hiromi Yamaguchi (2396248)

    Published 2022
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  14. 34
    Correlation between baseline vitamin D level with socio-demographic factors and clinicopathology characteristics (n = 136).

    Correlation between baseline vitamin D level with socio-demographic factors and clinicopathology characteristics (n = 136). by Herindita Puspitaningtyas (11618232)

    Published 2022
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  15. 35
    Baseline characteristics of study subjects (n = 136).

    Baseline characteristics of study subjects (n = 136). by Herindita Puspitaningtyas (11618232)

    Published 2022
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  16. 36
    Vitamin D concentration changes between baseline and post-chemotherapy in breast cancer patients (n = 136).

    Vitamin D concentration changes between baseline and post-chemotherapy in breast cancer patients (n = 136). by Herindita Puspitaningtyas (11618232)

    Published 2022
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  17. 37
    Minimal data set.

    Minimal data set. by Herindita Puspitaningtyas (11618232)

    Published 2022
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  18. 38
    Flowchart of subjects’ inclusion process.

    Flowchart of subjects’ inclusion process. by Herindita Puspitaningtyas (11618232)

    Published 2022
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  19. 39
    Figure 5 from Ammonia Suppresses the Antitumor Activity of Natural Killer Cells and T Cells by Decreasing Mature Perforin

    Figure 5 from Ammonia Suppresses the Antitumor Activity of Natural Killer Cells and T Cells by Decreasing Mature Perforin by Joanna Domagala (21643925)

    Published 2025
    “…<p>Ammonia decreases the amount of mature perforin in NK cells. …”
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  20. 40
    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection.

    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

    Published 2022
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