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significant effects » significant effect (Expand Search), significantly affected (Expand Search)
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Showing 41 - 60 results of 13,615 for search '(( significant effects decrease ) OR ( significantly ((we decrease) OR (larger decrease)) ))', query time: 0.46s Refine Results
  1. 41
    Description of the warning label.

    Description of the warning label. by Yulian Ding (5984591)

    Published 2024
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  2. 42
    Flow chart of the study.

    Flow chart of the study. by Yulian Ding (5984591)

    Published 2024
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  3. 43
    Summary statistics of the sample.

    Summary statistics of the sample. by Yulian Ding (5984591)

    Published 2024
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  4. 44
    Product attributes and attribute levels.

    Product attributes and attribute levels. by Yulian Ding (5984591)

    Published 2024
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  5. 45
    Dataset used in this study.

    Dataset used in this study. by Yulian Ding (5984591)

    Published 2024
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  6. 46
    Definitions of the variables.

    Definitions of the variables. by Yulian Ding (5984591)

    Published 2024
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  7. 47
    A sample choice question without a warning label.

    A sample choice question without a warning label. by Yulian Ding (5984591)

    Published 2024
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  8. 48
    A sample choice question with a warning label.

    A sample choice question with a warning label. by Yulian Ding (5984591)

    Published 2024
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  9. 49
    Summary of significant single-arm time effect.

    Summary of significant single-arm time effect. by Wensheng Xiao (16557866)

    Published 2024
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  10. 50
    Development of a CRISPR/Cas-Based Detection Platform for Tracking Decreased Susceptibility to Cephalosporins in Neisseria gonorrheae

    Development of a CRISPR/Cas-Based Detection Platform for Tracking Decreased Susceptibility to Cephalosporins in Neisseria gonorrheae by Ziyuan Zhao (2889005)

    Published 2025
    “…Developing efficient and accurate detection of resistant strains is urgently needed for their management and treatment. We have developed the Multiplex Integrated RPA-CRISPR/Cas12a detection Assay (MIRCA) for simultaneous detection of Neisseria gonorrheae (<i>Ng</i>) and mutations with decreased susceptibility to cephalosporins. …”
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  11. 51
    Superimposition of the cephalometric tracings obtained before and after treatment of case with premolar tooth extraction.

    Superimposition of the cephalometric tracings obtained before and after treatment of case with premolar tooth extraction. by Lijuan Liu (136685)

    Published 2025
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  12. 52
    Superimposition of the cephalometric tracings obtained before and after treatment of case with mandibular third molar extraction.

    Superimposition of the cephalometric tracings obtained before and after treatment of case with mandibular third molar extraction. by Lijuan Liu (136685)

    Published 2025
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  13. 53
    Typical measurement parameters.

    Typical measurement parameters. by Lijuan Liu (136685)

    Published 2025
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  14. 54
    Cephalometric measurement points.

    Cephalometric measurement points. by Lijuan Liu (136685)

    Published 2025
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  15. 55
    Posttreatment facial, intraoral photographs, and radiographs of the case with premolar tooth extraction.

    Posttreatment facial, intraoral photographs, and radiographs of the case with premolar tooth extraction. by Lijuan Liu (136685)

    Published 2025
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  16. 56
    Anonymized raw cephalometric data.

    Anonymized raw cephalometric data. by Lijuan Liu (136685)

    Published 2025
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  17. 57
    Posttreatment facial, intraoral photographs, and radiographs of the case with mandibular third molar extraction.

    Posttreatment facial, intraoral photographs, and radiographs of the case with mandibular third molar extraction. by Lijuan Liu (136685)

    Published 2025
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  18. 58
    Comparison of pretreatment cephalometric variables between premolar extraction and mandibular third molar extraction groups.

    Comparison of pretreatment cephalometric variables between premolar extraction and mandibular third molar extraction groups. by Lijuan Liu (136685)

    Published 2025
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  19. 59
    Demographic characteristics of study participants.

    Demographic characteristics of study participants. by Lijuan Liu (136685)

    Published 2025
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  20. 60
    Results of Analysis of Co-variance (ANCOVA) for change in parameter predicted by treatment group with pre-treatment value as a covariate. * p < 0.05; ** p < 0.01.

    Results of Analysis of Co-variance (ANCOVA) for change in parameter predicted by treatment group with pre-treatment value as a covariate. * p < 0.05; ** p < 0.01. by Lijuan Liu (136685)

    Published 2025
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