DEA models for ratio data:convexity consideration

Data envelopment analysis (DEA) is defined based on observed units and by finding the distance of each unit to the border of estimated production possibility set (PPS). The convexity is one of the underlying assumptions of the PPS. This paper shows some difficulties of using standard DEA models in the presence of input-ratios and/or output-ratios. The paper defines a new convexity assumption when data includes a ratio variable. Then it proposes a series of modified DEA models which are capable to rectify this problem.

Is there a trade-off between quality and productivity? The case of diagnostic technologies in Portugal

The purpose of this paper is twofold: first, we compute quality-adjusted measures of productivity change for the three most important diagnostic technologies (i.e., the Computerised Tomography Scan, Electrocardiogram and Echocardiogram) in the major Portuguese hospitals. We use the Malmquist–Luenberger index, which allows to measure productivity growth while controlling for the quality of the production. Second, using non-parametric tests, we analyse whether the implementation of the Prospective Payment System may have had a positive impact on the movements of productivity over time. The results show that the PPS has helped hospitals to use these tools more efficiently and to improve their effectiveness.

Oral uptake and distribution of microspheres

There is a growing body of experimental evidence suggesting that the gastrointestinal tract (GIT) may be penetrated by sub-micron sized polymeric particles which have the capacity to deliver therapeutic compounds. We investigated this, initially with Fluoresbrite™ carboxylate latex microspheres (0.87 m diameter) which were administered orally to rats. Microsphere numbers within blood samples were then quantified using fluorescence microscopy or FACS technology. These studies were prone to quantitative error, but indicated that increased microsphere translocation occurred if particles were administered in conjunction with large volumes of hypotonic liquid, and that uptake was very rapid. Test particles were detected in blood, only a few minutes after dosing. To improve quantification, GPC technology was adopted. 0.22 m latex particles were found to accumulate in greatest numbers within the Mononuclear phagocyte system tissues after gavage. Again translocation was rapid. The ability of test particles to leave the intestinal lumen and access systemic compartments was found to be highly dependent on their size and hydrophobicity, determined by hydrophobic interaction chromatography. Considerably lower numbers of 0.97 m diameter latex microspheres were detectable within extra-intestinal tissue locations after gavage. Histological studies showed that Fluoresbrite™ microspheres accumulate within the liver, spleen, Mesenteric lymph node and vasculature of rats after oral administration. Fluorescent particles were observed in both the Peyer's patches (PPs), and non lymphoid regions of rat intestinal mucosa after gavage, conductive to the acceptance that more than one mechanism of particle absorption may operate.

Flexible measures in production process:a DEA-based approach

Data envelopment analysis (DEA) has been proven as an excellent data-oriented efficiency analysis method for comparing decision making units (DMUs) with multiple inputs and multiple outputs. In conventional DEA, it is assumed that the status of each measure is clearly known as either input or output. However, in some situations, a performance measure can play input role for some DMUs and output role for others. Cook and Zhu [Eur. J. Oper. Res. 180 (2007) 692–699] referred to these variables as flexible measures. The paper proposes an alternative model in which each flexible measure is treated as either input or output variable to maximize the technical efficiency of the DMU under evaluation. The main focus of this paper is on the impact that the flexible measures has on the definition of the PPS and the assessment of technical efficiency. An example in UK higher education intuitions shows applicability of the proposed approach.

Chemical specificity in REDOX-responsive materials:the diverse effects of different Reactive Oxygen Species (ROS) on polysulfide nanoparticles

REDOX responsive (nano)materials typically exhibit chemical changes in response to the presence and concentration of oxidants/reductants. Due to the complexity of biological environments, it is critical to ascertain whether the chemical response may depend on the chemical details of the stimulus, in addition to its REDOX potential, and whether chemically different responses can determine a different overall performance of the material. Here, we have used oxidation-sensitive materials, although these considerations can be extended also to reducible ones. In particular, we have used poly(propylene sulfide) (PPS) nanoparticles coated with a PEGylated emulsifier (Pluronic F127); inter alia, we here present also an improved preparative method. The nanoparticles were exposed to two Reactive Oxygen Species (ROS) typically encountered in inflammatory reactions, hydrogen peroxide (H2O2) and hypochlorite (ClO−); their response was evaluated with a variety of techniques, including diffusion NMR spectroscopy that allowed to separately characterize the chemically different colloidal species produced. The two oxidants triggered a different chemical response: H2O2 converted sulfides to sulfoxides, while ClO− partially oxidized them further to sulfones. The different chemistry correlated to a different material response: H2O2 increased the polarity of the nanoparticles, causing them to swell in water and to release the surface PEGylated emulsifier; the uncoated oxidized particles still exhibited very low toxicity. On the contrary, ClO− rapidly converted the nanoparticles into water-soluble, depolymerized fragments with a significantly higher toxicity. The take-home message is that it is more correct to discuss ‘smart’ materials in terms of an environmentally specific response to (REDOX) stimuli. Far from being a problem, this could open the way to more sophisticated and precisely targeted applications.