نتایج جستجو برای: inverse dea

تعداد نتایج: 97769  

2014
Mohammadreza Farahmand Mohammad Ishak Desa Mehrbakhsh Nilashi

Abstract Data Envelopment Analysis (DEA) is a method for measuring efficiencies of Decision Making Units (DMUs). While it has been widely used in many industrial and economic applications, for large DMUs with many inputs and outputs, DEA would require huge computer resources in terms of memory and CPU time. Several studies have attempted to overcome this problem for large datasets. However, the...

Journal: :Journal of colloid and interface science 2011
Xihua Lu Mingyun Sun Annelise E Barron

Thermo-responsive polymer "nanogels" (crosslinked hydrogel particles with sub-100 nm diameters) are intriguing for many potential applications in biotechnology and medicine. There have been relatively few reports of electrostatically neutral, thermosensitive nanogels comprising a high fraction of hydrophilic co-monomer. Here we demonstrate the syntheses and characterization of novel, non-ionic ...

Journal: :Neurochemistry international 2007
Daniel A Sáenz Sara E Bari Ezequiel Salido Mónica Chianelli Ruth E Rosenstein

There is a growing body of evidence on the role of nitric oxide (NO) in retinal physiology. Recently, interest has developed in the functional role of an alternative redox form of NO, namely nitroxyl (HNO/NO(-)), because it is formed by a number of diverse biochemical reactions. The aim of the present report was to comparatively analyze the effect of HNO and NO on the retinal nitridergic pathwa...

2017
Zita Bognar Katalin Fekete Csenge Antus Eniko Hocsak Rita Bognar Antal Tapodi Arpad Boronkai Nelli Farkas Ferenc Gallyas Balazs Sumegi Arpad Szanto

Bladder cancer (BC) is a common malignancy of the urinary tract that has a higher frequency in men than in women. Cytostatic resistance and metastasis formation are significant risk factors in BC therapy; therefore, there is great interest in overcoming drug resistance and in initiating research for novel chemotherapeutic approaches. Here, we suggest that desethylamiodarone (DEA)-a metabolite o...

Journal: :European journal of endocrinology 2001
F Bogazzi L Bartalena S Brogioni A Burelli F Raggi F Ultimieri C Cosci M Vitale G Fenzi E Martino

OBJECTIVE To evaluate the molecular mechanisms of the inhibitory effects of amiodarone and its active metabolite, desethylamiodarone (DEA) on thyroid hormone action. MATERIALS AND METHODS The reporter construct ME-TRE-TK-CAT or TSHbeta-TRE-TK-CAT, containing the nucleotide sequence of the thyroid hormone response element (TRE) of either malic enzyme (ME) or TSHbeta genes, thymidine kinase (TK...

Journal: :Pain Medicine 2008

2012
Jitka Janová Jan Vavřina David Hampel

Bankruptcy assessment provides valuable information for the governments and investors to base their decisions in order to prevent possible financial losses. Data envelopment analysis (DEA) has generally been used to assess relative efficiency of decision making units. Recently, several approaches have appeared that reformulate DEA as a bankruptcy prediction tool. However, only several studies h...

2008
David Sherman

Data Envelopment Analysis (DEA) is a linear programming based technique that was developed to evaluate relative efficiency of nonprofit and public sector Decision Making Units (DMU's) that use multiple inputs to produce multiple outputs. In this study, DEA is evaluated and tested for use as a managerial audit tool to identify and measure inefficiencies among a set of DI'IU's. Based on three app...

Journal: :JORS 2012
P. N. de Almeida Luis C. Dias

Data Envelopment Analysis (DEA) is an approach based on linear programming to assess the relative efficiency of peer Decision Making Units (DMUs). Typically, each DMU is free to choose the weights of the factors used in its evaluation. However, the evaluator’s preferences may not warrant so much freedom. Several approaches have been proposed to allow the incorporation of managerial preferences ...

2012
F. Hosseinzadeh Lotfi

Data envelopment analysis (DEA) is a non-parametric method for measuring the efficiency of a set of decision making units (DMUs), such as companies or public sector agencies. The main DEA models are only used for positive data. In recent years, some models have been presented to deal with negative data in DEA models. However, these models do not discriminate between efficient DMUs and only eval...

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