While earth is becoming a smaller village every day, the rapid population growth and ageing is impeding obvious shifting pattern of disease which in turn is inflecting great economic burden required for fast growing health expenditure particularly in the developing world whose suffering from this particular issue is turning into an inflated almost non-curable disease. The major world population...

In the past 10 years evidence - based medicine (EBM) has developed well in all aspects of allopathic medicine giving a new dimension to patient care including cost reduction and attention to medical ethics. With the public and medical community return to complementary and alternative medicine (CAM) in the last two decades there has been a call for evidence - based CAM … in the same way that all...

In the past 10 years evidence - based medicine (EBM) has developed well in all aspects of allopathic medicine giving a new dimension to patient care including cost reduction and attention to medical ethics. With the public and medical community return to complementary and alternative medicine (CAM) in the last two decades there has been a call for evidence - based CAM … in the same way that all...

The supplier selection and order allocation are two key strategic decisions in purchasing problem. The review presented in this paper focuses on the supplier selection problems (SSP) and order allocation from year 2000 to 2017 in which a new structure and classification of the existing research streams and the different MCDM methods and mathematical models used for SSP will be presented. The re...

‎Rough extreme learning machines (RELMs) are rough-neural networks with one hidden layer where the parameters between the inputs and hidden neurons are arbitrarily chosen and never updated‎. ‎In this paper‎, ‎we propose RELMs with a stable online learning algorithm for the identification of continuous-time nonlinear systems in the presence of noises and uncertainties‎, ‎and we prove the global ...

The aim of this paper is robust identification of smart foam, as an electroacoustic transducer, considering unmodeled dynamics due to nonlinearities in behaviour at low frequencies and measurement noise at high frequencies as existent uncertainties. Set membership estimation combined with model error modelling technique is used where the approach is based on worst case scenario with unknown but...

As part of the BIOSANT program (biologically-inspired smart nanotechnology), scientists at NASA-Langley have identified a “self-healing” plastic that spontaneously closes the hole left by the passage of a bullet. To understand and generalize the phenomenon in question, the mechanical properties responsible for this ability are being explored. Low-rate impression testing was chosen to characteri...

Anomaly recognition has always been a prominent subject in preliminary geochemical explorations. Among the regional geochemical data processing, there are a range of statistical and data mining techniques as well as different mapping methods, which serve as presentations of the outputs. The outlier’s values are of interest in the investigations where data are gathered under controlled condition...