Showing 121 - 140 results of 50,634 for search '(( significant ((long based) OR (eeg based)) ) OR ( significant ((we decrease) OR (nn decrease)) ))', query time: 1.49s Refine Results
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    App user base growth trends. by Henri Claude Moungui (22227043)

    Published 2025
    “…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”
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    EEG markers of behavioral patterns in the emotional cognitive tasks. by Sang-Eon Park (2178200)

    Published 2024
    “…<b>(D)</b> Significant training effects on the Emotional Bias (G-score 3) were observed in the EEG enhanced group.…”
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    Data_Sheet_1_At-home sleep monitoring using generic ear-EEG.docx by Yousef R. Tabar (14540069)

    Published 2023
    “…Introduction<p>A device comprising two generic earpieces with embedded dry electrodes for ear-centered electroencephalography (ear-EEG) was developed. The objective was to provide ear-EEG based sleep monitoring to a wide range of the population without tailoring the device to the individual.…”
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    Image_2_Network disruption based on multi-modal EEG-MRI in α-synucleinopathies.TIF by Chunyi Wang (5103332)

    Published 2024
    “…By integrating EEG and MRI network analyses, we found that FC between the olfactory cortex and dorsolateral prefrontal cortex was significantly different between MSA and PD. …”
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    Image_1_Network disruption based on multi-modal EEG-MRI in α-synucleinopathies.TIF by Chunyi Wang (5103332)

    Published 2024
    “…By integrating EEG and MRI network analyses, we found that FC between the olfactory cortex and dorsolateral prefrontal cortex was significantly different between MSA and PD. …”
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    Display of significance test results. by Qingchun Jiao (18388097)

    Published 2025
    “…In this study, the trend prediction model for the experimental process of fabric tear performance testing (BLTT-FT) based on the “bidirectional long- and short-term attention mechanism” is adopted. …”
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