The accurate and fast identification of crystallographic defects plays a key role for the analysis of atomistic simulation output data. For face-centered cubic (fcc) metals, most existing structure analysis tools allow for the direct distinction of common defects, such as stacking faults or certain low-index surfaces. For body-centered cubic (bcc) metals, on the other hand, a robust way to iden...

This paper incorporates cones on virtual multipliers of inputs and outputs into DEA analysis. Cone DEA models are developed to generalize the dual of the BCC models as well as congestion models. Input-output data and/or numbers of DMUs for BCC models are inadequate to capture many aspects where judgments, expert opinions, and other external information should be taken into analysis. Cone DEA mo...

human development index (hdi) is a composite indicator that can show the impact of economic strategies on human life standards. the index is calculated by three main factors of income, education and health. this research studies the status of hdi across the iranian provinces, its changes over time and the efficiency of provinces in using resources.the data for 2001 and 2009 was obtained from th...

This study aims to analyze the technical efficiency of physicians working in hospitals Turkish Ministry Health Turkey on a provincial basis. The other aim is determine idle inputs and under-produced outputs inefficient provinces. CCR BCC models Data Envelopment Analysis (DEA) technique were used as method level physicians. Super-efficiency model was also rank efficient total number surgical spe...

The population is ageing, which has many social and economic implications, one of them an increase in demand for institutional long-term care the elderly. Therefore, aim this paper to analyse change detect whether there are differences between twelve selected OECD countries period 2014-2019 regard values total factor productivity system aged 65 over these countries. Malmquist – DEA performance ...

We address crystal nucleation and fcc-bcc phase selection in alloys using a multiphase field model that relies on Ginzburg-Landau free energies of the liquid-fcc, liquid-bcc, and fcc-bcc subsystems, and determine the properties of the nuclei as a function of composition, temperature, and structure. With a realistic choice for the free energy of the fcc-bcc interface, the model predicts well the...

We evaluate the ability of the embedded-atom method ~EAM! potentials and the tight-binding ~TB! method to predict reliably energies and stability of nonequilibrium structures by taking Cu as a model material. Two EAM potentials are used here. One is constructed in this work by using more fitting parameters than usual and including ab initio energies in the fitting database. The other potential ...

Recently, a mixed integer data envelopment analysis (DEA) model has been proposed to find the most BCC-efficient (or the best) decision making unit (DMU) by Toloo (2012). This paper shows that the model may be infeasible in some cases, and when the model is feasible, it may fail to identify the most efficient DMU, correctly. We develop an improved model to find the most BCC-efficient DMU that r...

This paper introduces a new methodology ensuring units invariant slack selection in radial DEA models and incorporating the slacks into an overall efficiency score. The CCR and BCC models are units invariant in their radial component, but not in their slack component, thus changing the units of measurement of one or more variables can change the models’ solution. The proposed Full Proportional ...

Abstract Heart patients displays several symptoms and it is hard to point them. Data envelopment analysis (DEA) provides a comparative efficiency degree for each decision-making units (DMUs) with several inputs and outputs. Evaluating of hospitals is one of the major applications in DEA. In this study, a comparison of additive model with standard input oriented and output oriented M...