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significant clusters » significant cause (Expand Search), significant changes (Expand Search), significant factors (Expand Search)
clusters received » oysters received (Expand Search), cases received (Expand Search), letter received (Expand Search)
largest decrease » largest decreases (Expand Search), marked decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
Showing 141 - 160 results of 5,363 for search '(( significant ((larger decrease) OR (largest decrease)) ) OR ( significant clusters received ))', query time: 0.84s Refine Results
  1. 141
    Clustering of batch A18 and non-batch A18 samples.

    Clustering of batch A18 and non-batch A18 samples. by David O. Holland (12542869)

    Published 2022
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  2. 142
    Heatmap of 367 metastatic samples clustered according to kinase isoform counts.

    Heatmap of 367 metastatic samples clustered according to kinase isoform counts. by David O. Holland (12542869)

    Published 2022
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  3. 143
    Three-stage cluster sampling and sample size calculation.

    Three-stage cluster sampling and sample size calculation. by Zerin Jannat (18462282)

    Published 2024
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  4. 144
    <b>Nest mass in forest tits </b><b><i>Paridae</i></b><b> </b><b>increases with elevation and decreasing body mass, promoting reproductive success</b>

    <b>Nest mass in forest tits </b><b><i>Paridae</i></b><b> </b><b>increases with elevation and decreasing body mass, promoting reproductive success</b> by Clara Wild (19246606)

    Published 2025
    “…We found that nest mass increased by ~ 60% along the elevational gradient, but the effect of canopy openness on nest mass was not significant, while nest mass decreased along the ranked species from the smallest <i>Periparus ater</i> to the medium-sized <i>Cyanistes caeruleus</i> and the largest <i>Parus major</i>. …”
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  5. 145
    Percent change in yearly crude rates (between 2019 and 2021 and between 2019 and 2024) by gender and state.

    Percent change in yearly crude rates (between 2019 and 2021 and between 2019 and 2024) by gender and state. by Tony Wong (779773)

    Published 2025
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  6. 146
    S4 Dataset -

    S4 Dataset - by Petr Fulin (8380320)

    Published 2022
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  7. 147
    Overview of outpatients.

    Overview of outpatients. by Petr Fulin (8380320)

    Published 2022
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  8. 148
    Overview of inpatients.

    Overview of inpatients. by Petr Fulin (8380320)

    Published 2022
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  9. 149
    S5 Dataset -

    S5 Dataset - by Petr Fulin (8380320)

    Published 2022
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  10. 150
    Overview of injuries.

    Overview of injuries. by Petr Fulin (8380320)

    Published 2022
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  11. 151
    S6 Dataset -

    S6 Dataset - by Petr Fulin (8380320)

    Published 2022
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  12. 152
    S1 Dataset -

    S1 Dataset - by Petr Fulin (8380320)

    Published 2022
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  13. 153
    S3 Dataset -

    S3 Dataset - by Petr Fulin (8380320)

    Published 2022
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  14. 154
    Admission diagnoses.

    Admission diagnoses. by Petr Fulin (8380320)

    Published 2022
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  15. 155
    S2 Dataset -

    S2 Dataset - by Petr Fulin (8380320)

    Published 2022
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  16. 156
    Cholera Cluster Characteristics by State, Northeast Nigeria, Sept 15 to Dec 25, 2021.

    Cholera Cluster Characteristics by State, Northeast Nigeria, Sept 15 to Dec 25, 2021. by Jennifer OKeeffe (12525104)

    Published 2024
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  17. 157
    Unadjusted model active, emerging, and disappearing cholera clusters over outbreak period by state.

    Unadjusted model active, emerging, and disappearing cholera clusters over outbreak period by state. by Jennifer OKeeffe (12525104)

    Published 2024
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  18. 158
    Hospital admission rate for chronic non-communicable diseases (NCDs) in Brazil according to the type of NCD.

    Hospital admission rate for chronic non-communicable diseases (NCDs) in Brazil according to the type of NCD. by Rafael Alves Guimarães (4526788)

    Published 2022
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  19. 159
    Hospital admissions for chronic non-communicable diseases (NCDs) in Brazil before and after the onset of the coronavirus disease pandemic according to the type of NCD and age group.

    Hospital admissions for chronic non-communicable diseases (NCDs) in Brazil before and after the onset of the coronavirus disease pandemic according to the type of NCD and age group... by Rafael Alves Guimarães (4526788)

    Published 2022
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  20. 160
    Poisson multiple regression models of the impact of the coronavirus disease pandemic on the hospitalization rate for diabetes mellitus in Brazil according to subgroups by age group, sex, and region of Brazil.

    Poisson multiple regression models of the impact of the coronavirus disease pandemic on the hospitalization rate for diabetes mellitus in Brazil according to subgroups by age group... by Rafael Alves Guimarães (4526788)

    Published 2022
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