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Predicting 1rm

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Preview of Comparison of Predictors of Response to SSRIs in Patients with Depressive Disorder
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Comparison of Predictors of Response to SSRIs in Patients with Depressive Disorder (5582_cz_Bares-JNMD 2017.pdf)

158 KBEN 9 pages
This study aimed to identify predictors of response to SSRI treatment in depressive patients, finding that a specific reduction in MADRS score at week 2 (RM ≥20% W2) had the highest predictive value, with an AUC of 0.83. Only 55% of patients responded to SSRIs, highlighting the...
Preview of <think>
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(BU39J06B40-02E.pdf)

996 KBYokogawa Electric CorporationEN 2 pages
Document en en
Preview of Segment-Based Acoustic Models with Multi-level Search Algorithms for Continuous Speech Recognition
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Segment-Based Acoustic Models with Multi-level Search Algorithms for Continuous Speech Recognition (H92-1100.pdf)

92 KBMarl Ostendorf; J. Robin RohlicekEN 1 page
Ostendorf and Rohlicek (Boston U, BBN) aim to enhance speaker-independent continuous speech recognition via stochastic, segment-based acoustic models and efficient, multi-level search algorithms, funded by DARPA and NSF.

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