In this paper, a new Probabilistic Sensitivity Analysis (PSA) approach based on the concept of relative entropy is proposed for design under uncertainty. The relative entropy based method evaluates the impact of a random variable on a design performance by measuring the divergence between two probability density functions of a performance response, obtained before and after the variance reduction of the random variable. The method can be applied both over the whole distribution of a performance response (called global response probabilistic sensitivity analysis-GRPSA) and in any interested partial range of a response distribution (called regional response probabilistic sensitivity analysis-RRPSA). Such flexibility of our approach facilitates its use under various scenarios of design under uncertainty, for instance in robust design, reliability-based design, and utility optimization. The proposed method is applicable to both the priordesign stage for variable screening when a design solution is yet identified and the postdesign stage for uncertainty reduction after an optimal design has been determined. The saddlepoint approximation approach is introduced for improving the computational efficiency of applying our proposed method. The proposed method is illustrated and verified by numerical examples and industrial design cases.

As a safe application, the use of a tourniquet during TKA may be effective for reducing intraoperative blood loss, but not for reducing the postoperative blood loss and actual total blood loss. However, no uniform guideline can be made based on the current evidence because of the very low evidence quality and lower GRADE recommendation strength.

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The shelf life of Collichthys fish balls supplemented with tea polyphenols can be prolonged for an additional 6 days in good condition at 0 °C storage.