Scale properties in data envelopment analysis

Recently there has been some discussion in the literature concerning the nature of scale properties in the Data Envelopment Model (DEA). It has been argued that DEA may not be able to provide reliable estimates of the optimal scale size. We argue in this paper that DEA is well suited to estimate optimal scale size, if DEA is augmented with two additional maintained hypotheses which imply that the DEA-frontier is consistent with smooth curves along rays in input and in output space that obey the Regular Ultra Passum (RUP) law (Frisch 1965). A necessary condition for a smooth curve passing through all vertices to obey the RUP-law is presented. If this condition is satisfied then upper and lower bounds for the marginal product at each vertex are presented. It is shown that any set of feasible marginal products will correspond to a smooth curve passing through all points with a monotonic decreasing scale elasticity. The proof is constructive in the sense that an estimator of the curve is provided with the desired properties. A typical DEA based return to scale analysis simply reports whether or not a DMU is at the optimal scale based on point estimates of scale efficiency. A contribution of this paper is that we provide a method which allows us to determine in what interval optimal scale is located.DEA; efficiency

Alien Registration- Olesen, Christian (Portland, Cumberland County)

https://digitalmaine.com/alien_docs/31192/thumbnail.jp

Receptor research on xenohormone effects of human serum extracts containing the actual mixture of perfluorinated alkyl acids: a short review

Perfluorinated alkyl acids (PFAAs) are used in many household products including food contact materials. Hence, humans are continuously exposed, and the PFAAs are accumulated in human serum with half-lives up to 8.8 years. In humans, high PFAA serum levels have been associated with an increased risk of breast cancer and other adverse health effects such as lower birth weight and longer time to pregnancy which might be related to disruptions of various hormonal systems. For instance, direct cell exposure studies in vitro suggest that some PFAAs can transactivate the estrogen receptor (ER), antagonize the androgen receptor (AR) and has the potential to interfere with TH and AhR functions. Moreover, the PFAAs also showed cellular oxidative stress. Humans are exposed to an array of PFAAs, and the quantity and combination of these PFAAs in human serum differs between individuals. Hence, the toxicological studies of single PFAAs and simple mixtures might be insufficient to predict how the actual mixtures of PFAAs may affect humans. To get a better evaluation of the actual mixture effects, we developed a method to extract the actual mixture of PFAAs from human serum. Preliminary results showed that 17% of the PFAA serum fractions from pregnant women could significantly transactivate the ER, and 94% of the fractions could further increase the transactivity induced by the potent ER ligand 25 pM 17?-estradiol. As part of the international FETOTOX project (http://fetotox.au.dk/), we are currently extracting the actual PFAA serum mixture from 700 pregnant women to further elucidate whether the serum PFAA mixture can transactivate the ER at the levels found in human serum. We suggest that our method can in the future be used to study the actual serum PFAA mixture effects on both steroid hormone actions as well as other hormonal systems e.g. thyroid hormone function. In the current review we will discuss how our recently developed PFAA extraction method might be used in future research to assess the endocrine impact of PFAAs on human health

"I love Skagen Museum":Patterns of Interaction in the Institutional Facebook Communication of Museums

Facebook has often been hailed for affording participation and thus for representing an opportunity for institutions to interact with the public. However, research concerning how institutions are actualizing this communicative opportunity is still scarce. In this article, we seek to address this gap by investigating empirically how one type of institution, namely museums, and their Facebook followers, actually communicate. Our approach is innovative in combining analytical tools from speech act theory and Conversation Analysis (CA) to a corpus of activities from the Facebook pages of nine Danish museums of different types and sizes collected during eight consecutive weeks in 2013. This approach enables us to both investigate communicative actions as isolated speech acts and the micromechanics of the interaction that potentially arise from these actions. Our findings indicate that certain kinds of speech act are used more than others and that certain speech acts lead to more interaction than others. By analyzing a fairly standard example of museum/follower interaction, we show how different kinds of micro conversational dynamics play out. In light of this analysis, we ask what modes of participation the interaction affords and we discuss the implications of our findings for recent debates about how museums can adapt to the participatory paradigm underlying institutional Facebook communication. Key Words: Social media communication, Facebook, speech acts, conversation analysis, institutional communication, museum

A Multi-Fluid Model for Water and Methanol Transport in a Direct Methanol Fuel Cell

Direct-methanol fuel cell (DMFC) systems are comparatively simple, sometimes just requiring a fuel cartridge and a fuel cell stack with appropriate control devices. The key challenge in these systems is the accurate determination and control of the flow rates and the appropriate mixture of methanol and water, and fundamental understanding can be gained by computational fluid dynamics. In this work, a three-dimensional, steady-state, two-phase, multi-component and non-isothermal DMFC model is presented. The model is based on the Eulerian approach, and it can account for gas and liquid transport in porous media subject to mixed wettability, i.e., the simultaneous presence of hydrophilic and hydrophobic pores. Other phenomena considered are variations in surface tension due to water–methanol mixing and the capillary pressure at the gas diffusion layer–channel interface. Another important aspect of DMFC modeling is the transport of methanol and water across the membrane. In this model, non-equilibrium sorption–desorption, diffusion and electro-osmotic drag of both species are included. The DMFC model is validated against experimental measurements, and it is used to study the interaction between volume porosity of the anode gas diffusion layer and the capillary pressure boundary condition at the anode, and how it affects performance and limiting current density

The Pain System in Oesophageal Disorders: Mechanisms, Clinical Characteristics, and Treatment

Pain is common in gastroenterology. This review aims at giving an overview of pain mechanisms, clinical features, and treatment options in oesophageal disorders. The oesophagus has sensory receptors specific for different stimuli. Painful stimuli are encoded by nociceptors and communicated via afferent nerves to the central nervous system. The pain stimulus is further processed and modulated in specific pain centres in the brain, which may undergo plastic alterations. Hence, tissue inflammation and long-term exposure to pain can cause sensitisation and hypersensitivity. Oesophageal sensitivity can be evaluated ,for example, with the oesophageal multimodal probe. Treatment should target the cause of the patient's symptoms. In gastro-oesophageal reflux diseases, proton pump inhibitors are the primary treatment option, surgery being reserved for patients with severe disease resistant to drug therapy. Functional oesophageal disorders are treated with analgesics, antidepressants, and psychological therapy. Lifestyle changes are another option with less documentation