Analysis of a Physician Tool for Evaluating Dysphagia on an Inpatient Stroke Unit The Modified Mann.doc

Analysis of a Physician Tool for Evaluating Dysphagia on an Inpatient Stroke Unit The Modified Mann.doc

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Analysis of a Physician Tool for Evaluating Dysphagia on an Inpatient Stroke Unit The Modified Mann

236 Student nurses’ experiences and challenges in providing health education in Hong Kong??Original Research Article Nurse Education Today, Volume 30, Issue 4, May 2010, Pages 355-359 W.H. Hui Choi, Gabriel K.H. Hui, Angel C.K. Lee, Maureen M.L. Chui ?Show preview??|?? Related articles??|??Related reference work articles???? Purchase $ 31.50 237 Optimal operation of cryogenic air separation systems with demand uncertainty and contractual obligations??Original Research Article Chemical Engineering Science, Volume 66, Issue 5, 1 March 2011, Pages 953-963 Yu Zhu, Sean Legg, Carl D. Laird ?Close preview??|?? Related articles??|??Related reference work articles???? AbstractAbstract | Figures/TablesFigures/Tables | ReferencesReferences Abstract Cryogenic air separation is an efficient technology for supplying large quantities of nitrogen, argon, and oxygen to chemical, petroleum and manufacturing customers. However, numerous uncertainties make effective operation of these complex processes difficult. This work addresses the problem of determining an optimal operating strategy to maximize the total profit of a cryogenic air separation process while considering demand uncertainty and contractual obligations. A rigorous process model is included as constraints in a nonlinear programming formulation. Uncertain demands are assumed to be normally distributed with known mean and standard deviation, and expected profit in the objective function is evaluated using the standard loss function. A probabilistic fill-rate expression, also based on the loss function, is used to model the contractual obligations by providing a lower bound on the expected product sales. In the single period case with one customer satisfaction constraint, the nonlinear programming formulation can be solved efficiently using the general purpose nonlinear optimization package, Ipopt. This formulation is then extended to include multiple time periods, the potential for product storage, and customer

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