gabapentin is an anticonvulsant widely used in the treatment of epilepsy. no peculiar chromophore is available on the gabapentin moiety for direct analysis by absorption spectrophotometry. a sensitive spectrophotometric method for the determination of gabapentin in bulk, pharmaceutical formulations and human plasma has been developed. in this method, gabapentin directly derivatized with vanilli...

Stock market linked savings accounts have become more and more popular. The returns of these accounts are random so the returns, even the initial capital, are not guaranteed. They are very much different from the familiar fixed-term-fixed-rate savings accounts. The aim of this paper is to perform the stochastic and numerical analysis on the stock market linked savings accounts in order to estab...

In modern power systems, condition monitoring equipment generates a great deal of steady-state data that are too large for transmission and, thus, compression is needed. Therefore, there balance to strike between quality and accuracy. Greedy algorithms effective but suffer from low reconstruction This paper proposes block sparse Bayesian learning (BSBL)-based method. Based on the prior distribu...

Abstract Bridges all over the world are vulnerable to severe deterioration agents meanwhile their maintenance budgets being tightened. This state of affairs necessitates establishment an autonomous model predict performance condition bridges. research paper explores implementation a set intelligent data driven models analyze future ratings bridge decks. These comprise support vector machines, G...

Boron (B) is essential to growth at low concentrations and limits growth and yield when in excess. Little is known regarding plant response to excess B and salinity occurring simultaneously. In this study, two models of Leibig-Sprengel (LS) and Mitscherlich-Baule (MB), originally proposed to explain plant response to nutrients only, were modified to evaluate canola yield response to combined le...

Error measures for the evaluation of forecasts are usually based on the size of the forecast errors. Common measures are e.g. the Mean Squared Error (MSE), the Mean Absolute Deviation (MAD) or the Mean Absolute Percentage Error (MAPE). Alternative measures for the comparison of forecasts are turning points or hits-and-misses, where an indicator loss function is used to decide, if a forecast is ...