The multivariate entropy distance (MED) method is a new highly efficient and accurate gene identification algorithm, which use the so-called entropy-density profile (EDP) for the global description of a DNA sequence of finite length. It is found the EDPs of coding and non-coding sequences show clearly distinct patterns. An individual sequence display an EDP clearly clustered around its respecti...

Through a state-sponsored Math-Science Partnership (MSP) program, 57 grade 3-5 teachers in six urban districts in northern New Jersey received professional development, classroom support, and mentoring in innovative science and engineering curricula designed to make use of constructivist approaches to teaching and learning. Two universities, a science center, and a teacher education institution...

This study addresses the problem of stochasticity in forecasting diffusion of a new product with scarce historical data. Demand uncertainties are calibrated using a geometric Brownian motion (GBM) process. The spline interpolation (SI) method and curve fitting process have been utilized to obtain parameters of the constructed GBM-based differential equation over the product’s life cycle (PLC). ...

Characterization and evaluation of a biological submerged filter was carried out on a full-scale pilot plant performing removal of biochemical oxygen demand (BOD) and total nitrogen (TN) from pre-treated urban wastewater. The average influent values of BOD5, chemical oxygen demand (COD) and TN were 370, 1,015 and 60 mg/L, respectively. The pilot plant produced good discharge quality during stea...

We study a single-product single-location inventory system under periodic review, where excess demand is lost and the replenishment lead time is positive. The performance measure of interest is the long run average holding cost and lost sales penalty. For a large class of demand distributions, we show that when the lost sales penalty becomes large compared to the holding cost, the relative diff...

The Economic Dispatch Problem (EDP) is one of the important optimization problem in a power system. Traditionally, in EDP, the cost function for each generator has been approximately represented by a single quadratic function. The main aim of EDP is to minimize the total cost of generating real power while satisfying the equality constraints of power balance and the inequality generator capacit...

Electroencephalography (EEG) is one of the most commonly used measures in neuroscience and psychophysiology research for studying functional information of brain activity such as cognition and emotion. However, because of lack of convenient methods to measure EEG, it is difficult to use in everyday situations. The electrodermal potential (EDP) can be used to monitor brain activities. This study...

Electrospinning has been recognized as an efficient technique for the fabrication of polymernanofibers. Recently, various polymers have successfully been electrospun into ultrafine fibers.Electrospinning is an extremely promising method for the preparation of tissue engineering scaffolds.In this study, nanofibers gelatin was electrospun at 20% v/v optimized content. To produce...

BACKGROUND Little is known regarding the impact of diastolic function on cardiac output (CO) in patients with heart failure, particularly in patients with lower ejection fraction. This study aimed to evaluate the impact of end-diastolic pressure-volume relationship (EDPVR) on CO and end-diastolic pressure (EDP). METHODS AND RESULTS We retrospectively analyzed 1840 consecutive patients who und...

The presence of methane in coal mines is one of the major problems in underground coal mines. Every year, in underground coal mines, a lot of casualties due to outbursts and explosions of methane gas is occurring. Existence of this gas in the mines not only creates a difficult and dangerous situation for work but also makes it more expensive. The release of this gas to the air causes a further ...