Dyson et al. [Dyson, R.G., Allen, R., Camanho, A.S., Podinovski, V.V., Sarrico, C.S., Shale, E.A., 2001. Pitfalls and protocols in DEA. European Journal of Operational Research 132, 245–259] suggest that the application of DEA presents a range of problems and they suggest that the systematic collection and reporting of these problems would significantly enhance DEA practice. It is widely accept...

Data envelopment analysis (DEA) is a technique for performance evaluation of peer decision making units (DMUs). The network DEA models study the internal structures of DMUs. Using two-stage network structures as an example, the current paper examines additive efficiency decomposition where the overall efficiency is defined as a weighted average of stage efficiencies and the weights are used to ...

Lidocaine bears in its structure both an aromatic ring and a terminal amine, which can be protonated at physiological pH, linked by an amide group. Since lidocaine causes multiple inhibitory actions on nicotinic acetylcholine receptors (nAChRs), this work was aimed to determine the inhibitory effects of diethylamine (DEA), a small molecule resembling the hydrophilic moiety of lidocaine, on Torp...

Dear DEA [2] Description: This series of five clinical vignettes focuses on common concerns of clinicians and illustrates the relationship between the Drug Enforcement Administration (DEA) and health professionals, noting that the DEA can help explain federal regulations on legally prescribing controlled substances to patients. Authors: Heit HA, Covington E, Good PM. Source: Pain Medicine field...

In performance evaluations, data without explicit inputs (such as index data, pure output data) are widely used. To directly use such data, this paper presents a study on building DEA models without explicit inputs,DEA-WEI models, in which convexity assumption is considered to be satisfied while the ratio data are constructed. Finally, an example of the modified DEA-WEI model is presented and c...

Data Envelopment Analysis (DEA) is one of the most widely used technique for evaluating the relative efficiency of a set of homogeneous decision making units. Traditionally, it assumes that input and output variables are known in advance, ignoring the critical issue of data uncertainty. In this paper, we deal with the problem of efficiency evaluation under uncertain conditions by adopting the g...

INTRODUCTION The anti-fibrotic hormone, relaxin, has been inferred to disrupt transforming growth factor (TGF)-β1/Smad2 phosphorylation (pSmad2) signal transduction and promote collagen-degrading gelatinase activity via a nitric oxide (NO)-dependent pathway. Here, we determined the extent to which NO, soluble guanylate cyclase (sGC) and cyclic guanosine monophosphate (cGMP) were directly involv...

This paper proposes a new model which provides some insights on using Stochastic Data Envelopment Analysis (SDEA) technique in the future performance appraisal for similar units of an organization. This research contributes to advance current knowledge by proposing new model in which, regardless of having benefits of DEA, resolve some head problems of the context. For instance: 1) the efficienc...

data envelopment analysis (dea) is a technique for measuring the efficiency of decision making units. in all models of the dea, for each unit under assessment, the numerical efficiency is obtained which may be less than or equal to one. given the possible large number of functional units, we use various ranking methods for evaluating units. one of the rating methods is balance index and topsis....

data envelopment analysis (dea) is a technique for measuring the efficiency of decision making units. in all models of the dea, for each unit under assessment, the numerical efficiency is obtained which may be less than or equal to one. given the possible large number of functional units, we use various ranking methods for evaluating units. one of the rating methods is balance index and topsis....