Search alternatives:
significant attention » significant potential (Expand Search), significant reduction (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
significant attention » significant potential (Expand Search), significant reduction (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
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ECoG timescales decrease during spatial attention.
Published 2025“…Bottom: timescales significantly decrease during covert attention relative to the attend-out condition (two locations: <i>p</i> = 0.0244; four locations: <i>p</i> < 0.0001; mean ± SEM; whiskers indicate maximum and minimum; dots correspond to individual electrodes). …”
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Change in Mean Anxiety Scores Over time by group.
Published 2025“…There was a trend of increased recall rates in group 2 for short-term problems, long-term problems, intervention, and incidence rates, but it did not reach statistically significant level. There was an overall decrease in State Trait Anxiety Inventory (STAI) scores of participants after counseling (p = 0.002) but no statistically difference in change of STAI scores between the two groups (p = 0.981).…”
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Marginal means – Pooled across scenarios.
Published 2025“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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Mean interval from initial diagnosis to initiation of non-pharmacological treatment by year.
Published 2025Subjects: -
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Mean uncertainty of <i>boro</i> rice yields estimated by random forest model from 2002–2021.
Published 2024Subjects: -
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Meaning of Each Model.
Published 2025“…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …”
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