Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of decision making units (DMUs) on the basis of multiple inputs and outputs. The context-dependent DEA is introduced to measure the relative attractiveness of a particular DMU when compared to others. In real-world situation, because of incomplete or non-obtainable information, the data (Input and ...

Data Envelopment Analysis (DEA) is computationally intensive. This work answers conclusively questions about computational performance and scale limits of the standard LP-based procedures currently used. Examples of DEA problems with up to 15K entities are documented and it is not hard to imagine problem size increasing as new more sophisticated applications are found for DEA. This work reports...

Because of the unreasonable and unnecessary weight restriction assumption, a barely noticeable deficiency in pseudo-inefficiency occurs at times when applying a CCR model. The CCR was the first model designed for Data Envelopment Analysis (DEA); it remains its most popular model. To detect this type of unobvious deficiency, this study compared the following: the efficiency score and optimal wei...

The aims of this study were to evaluate the prevalence of Dog Erythrocyte Antigens (DEA) 1, 4, and 7 in Ibizan hounds, to compare the results with the prevalence of DEA in Spanish greyhounds, and to determine the risk of sensitization following the first transfusion of blood not typed for DEA 1 and the probability of an acute hemolytic reaction following a second incompatible transfusion using ...

Congestion is an essential concept in data envelopment analysis (DEA). It occurs when the decrease at least one decision-making unit (DMU) input increases output without affecting other inputs or outputs. Although various methods have discussed congestion determination static DEA, calculation dynamic DEA under inter-temporal dependence has not been considered literature. This paper deals with c...

  In this article, Non radial method of dynamic DEA with the parallel network structure is presented and is used for calculation of relative efficiency measures when inputs and outputs do not change equally. In this model, DMU divisions under evaluation have been put together in parallel. But its dynamic structure is assumed in series. Since in real applications there are undesirable inputs an...

Amiodarone (AM) is a potent antidysrhythmic agent which can cause potentially lifethreatening pulmonary fibrosis, and N-desethylamiodarone (DEA) is a metabolite of AM that may contribute to the toxicity of AM in vivo. Recent evidence has implicated the involvement of the renin-angiotensin system (RAS) in the initiation and progression of amiodarone-induced pulmonary toxicity. In cultured HPL1A ...

BACKGROUND Dog erythrocyte antigen (DEA) 1.1 is the antigen considered most responsible for severe hemolysis owing to incompatible blood transfusions in previously sensitized dogs. Few reports describe the frequency of DEA 1.1 expression in European dogs, and there are no reports in dogs from Portugal. OBJECTIVE The aims of this study were to identify the frequency of DEA 1.1 expression in Po...

Diethanolamine-Induced Alteration of Hepatic Mitochondrial Function and Structure. BARBEE, S. J., AND HARTUNG, R. (1979). Toxicol. Appl. Pharmacol. 47,431-440. Diethanolamine (DEA) has been shown to interfere with phospholipid metabolism. It was hypothesized that DEA may alter membrane-bound biochemical processes which are dependent upon phospholipids. DEA was investigated for its effect on hep...

Data envelopment analysis (DEA), based on mathematical programming techniques, is a popular method for assessing the relative efficiency of various decision-making units (DMUs). Efficient DEA computations need to circumvent intensive time-consuming calculations. This paper indicates that the “corner points” in single input and single output scatter plot has extreme efficiency with regard to the...