In the present study, a reusable graphene oxide (GO) based dispersive-solid phase extraction (d-SPE) was synthesized and applied for the analysis of trace ampicillin sodium (AMP) and clindamycin hydrochloride (CLI) in water samples followed by high performance liquid chromatography-UV detection (HPLC-UV). Batch experiments were conducted to investigate the effects of pH and volume of the sample...

In this paper, we propose new computational intelligence sequential hybrid architectures involving Genetic Programming (GP) and Group Method of Data Handling (GMDH) viz. GP-GMDH, GMDH-GP and recurrent architecture for Genetic Programming (GP) for software cost estimation. Three linear ensembles based on (i) arithmetic mean (ii) geometric mean and (iii) harmonic mean are also developed. We also ...

The training set of atomic configurations is key to the performance any Machine Learning Force Field (MLFF) and, as such, selection determines applicability MLFF model for predictive molecular simulations. However, most atomistic reference datasets are inhomogeneously distributed across configurational space (CS), thus choosing randomly or according probability distribution data leads models wh...

This paper presents a high-frequency frdly differential BiCMOS operational amplifier designed for use in switched-capacitor circuits. The OP amp is integrated in a 3. O-GHZ, 2~m BiCMOS process with an active die area of 1.0 mm x 1.2 mm. This BiCMOS op amp offers an infinite input resistance, a dc gain of 100 dB, a nnity-gain freqnency of 90 MHz with 45° phase margin, and a slew rate of 150 V/ p...

There exist various tools for knowledge representation and modelling in artificial intelligence. We have designed and built a software tool called McESE (McMaster Expert System Environment) that comprises three such represen tations: pro duction systems, n eural nets, an d Petri nets. T he first two tools are alm ost com plemen tary in their strengths and weaknesses: neural nets are very good i...

Abstract. Biogeochemical models are essential for the prediction and management of nitrogen (N) cycling in agroecosystems, but accuracy denitrification decomposition sub-modules is critical. Current were developed before suitable soil N2 flux data available, which may have led to inaccuracies how was described. New measurement techniques, using gas chromatography isotope-ratio mass spectrometry...