Health care delivery in the developed world is in constant transformation. Structures and values are changing. New and more effective tools and technology are being used to identify and overcome diseases. Yet even if these new technologies are increasingly available to the public, not all of them have market potential. Cost efficiency is at the core of our health care system. Cost consideration...

This study aims to inspect and evaluate the integration of database queries and their use in e-commerce product searches. It has been observed that e-commerce is one of the most prominent trends, which have been emerged in the business world, for the past decade. E-commerce has gained tremendous popularity, as it offers higher flexibility, cost efficiency, effectiveness, and convenience, to bot...

For variable annuities, the cost of hedging must be taken into consideration when firms use the dynamic hedging strategy. In this paper, we study hedging strategies by assuming the hedge position follows a random walk with boundary conditions. We find that re-balancing delta to the initial position is always more cost-efficient than re-balancing it to the edge for a fixed transaction cost. Howe...

Cloud computing is very common today due to its various characteristics and benefits. It is cost efficient and thus very popular, but has great impact on environment such as increase in pollution, climatic changes and shortage of energy resources. Green cloud computing is important issue at present time. In this paper, the author have made critical observations of energy efficiency in all field...

We present a new type of two-dimensional nonlinear structure for quasi-phase matching. This structure has continuous rotational symmetry, and in contrary to the commonly used periodic structures, is not lattice shaped and has no translation symmetry. It is shown that this annular symmetry structure possesses interesting phase matching attributes that are significantly different than those of pe...

This paper presents a method to allocate the transmission network costs to users based on nodal pricing approach by regulating the nodal prices from the marginal point to the new point. Transmission nodal pricing based on marginal prices is not able to produce enough revenue to recover the total transmission network costs. However, according to the previous studies in this context, this met...

In Wireless Sensor Networks (WSNs), as the network consists of low-cost sensor nodes with finite battery power, power efficient strategies must be applied for data transmission in order to prolong the lifetime of the network. It is important to minimize the total energy consumption in each round so that the network lifetime is maximized. In this study, we propose a new energy efficient protocol...

nowadays, software cost estimation (sce) with machine learning techniques are more performance than other traditional techniques which were based on algorithmic techniques. in this paper, we present a new hybrid model of multi-layer perceptron (mlp) artificial neural network (ann) and ant colony optimization (aco) algorithm for high accuracy in sce called multilayer perceptron ant colony optimi...

this paper intends to offer a new iterative method based on arti cial neural networks for finding solution of a fuzzy equations system. our proposed fuzzi ed neural network is a ve-layer feedback neural network that corresponding connection weights to output layer are fuzzy numbers. this architecture of arti cial neural networks, can get a real input vector and calculates its corresponding fu...

Understanding the phenomenon of propagation of disruptions regarding security is a critical factor for designing of robust export supply chains. From a system dynamics approach, this research analyses the effects of the materialization and simultaneous propagation of disruptions of security at various points in export supply chains (ESC). The model allows understanding why the production sites ...