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The primary outcome measure is performance using a gold-standard screening test (AUDIT).
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Signal detection was performed using a high Performance chemiluminescence film (Amersham Biosciences).
In such case, transfer learning is required to enhance performance using an auxiliary, label-abundant domain.
Device performance is characterized using a cytochrome c unfolding reaction.
Motor performance is calculated using a simplified ballistic model.
Performance is enhanced using a highly efficient pipelined design.
A metamaterial with pre-specified performance is created using a level-set-based topology optimization method.
The effect of electrolyte thickness on fuel cell performance is evaluated using a simple analytical model.
Motor performance is calculated using a simplified ballistic model with throat erosion considerations.
Performance is characterized using a global efficiency, heat transfer effectiveness and hydrogen conversion.
Performance is quantified using a measure derived from the linear sensitivity function.
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