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significant trained » significant trend (Expand Search), significant strain (Expand Search), significant brain (Expand Search)
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Showing 1 - 20 results of 48,716 for search '(( significant trained based ) OR ( significant ((we decrease) OR (nn decrease)) ))', query time: 0.52s Refine Results
  1. 1
    NN analysis to assign the importance of variables.

    NN analysis to assign the importance of variables. by Sulmaz Ghahramani (3387635)

    Published 2022
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  2. 2
    Compassion Cultivation Training protocol.

    Compassion Cultivation Training protocol. by Blanca Rojas (419549)

    Published 2023
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  3. 3
    Demographic distributions of the patients and significant differences between the training and test datasets.

    Demographic distributions of the patients and significant differences between the training and test datasets. by Kenta Ninomiya (9969368)

    Published 2022
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  4. 4
    Training feedback.

    Training feedback. by Kristen S. Regenauer (13842386)

    Published 2024
    “…Depression stigma was lower than SU stigma at both timepoints and did not significantly decrease after training. CHW clinical competency towards patients with SU/depression significantly improved (<i>t</i>(11) = -3.35, <i>p</i> = 0.007, d = 1.00). …”
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  5. 5
    System configuration of HEARTS.

    System configuration of HEARTS. by Atsushi Nakazawa (15892700)

    Published 2023
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  6. 6
    Face detection rate.

    Face detection rate. by Atsushi Nakazawa (15892700)

    Published 2023
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  7. 7
    Occurrence rate of eye contact.

    Occurrence rate of eye contact. by Atsushi Nakazawa (15892700)

    Published 2023
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  8. 8
    Participants.

    Participants. by Atsushi Nakazawa (15892700)

    Published 2023
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  9. 9
    Utterance.

    Utterance. by Atsushi Nakazawa (15892700)

    Published 2023
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  10. 10
    Gaze, speech scores displayed on HEARTS.

    Gaze, speech scores displayed on HEARTS. by Atsushi Nakazawa (15892700)

    Published 2023
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  11. 11
    Face-to-face distance ([mm]).

    Face-to-face distance ([mm]). by Atsushi Nakazawa (15892700)

    Published 2023
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  12. 12
    Facial expressions of avatar.

    Facial expressions of avatar. by Atsushi Nakazawa (15892700)

    Published 2023
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  13. 13
    Overview of experiment.

    Overview of experiment. by Atsushi Nakazawa (15892700)

    Published 2023
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  14. 14
    Face-to-face angle (yaw rotation [deg]).

    Face-to-face angle (yaw rotation [deg]). by Atsushi Nakazawa (15892700)

    Published 2023
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  15. 15
    The web-based training courses.

    The web-based training courses. by Tianzhi Huang (115630)

    Published 2023
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  16. 16
    <i>In vivo</i> voxel based morphometry identified areas of significant enlargement in trained animals relative to the controls.

    <i>In vivo</i> voxel based morphometry identified areas of significant enlargement in trained animals relative to the controls. by Alexandra Badea (352052)

    Published 2019
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  17. 17
    Training and intensity results.

    Training and intensity results. by Nicole Zhang (442779)

    Published 2022
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  18. 18
    Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and heart rate (HR) across the three conditions.

    Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

    Published 2025
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  19. 19
    <i>In vivo</i> voxel based morphometry identified a significant interaction between time and training.

    <i>In vivo</i> voxel based morphometry identified a significant interaction between time and training. by Alexandra Badea (352052)

    Published 2019
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  20. 20
    <i>Ex vivo</i> voxel based morphometry identified areas of significant enlargement in trained animals relative to controls.

    <i>Ex vivo</i> voxel based morphometry identified areas of significant enlargement in trained animals relative to controls. by Alexandra Badea (352052)

    Published 2019
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