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Enhancement of Pb and Zn uptake by Indian mustard (Brassica juncea (L.) Czern.) and winter wheat (Triticum aestivumL.) grown for 50 days in pots of contaminated soil was studied with application of elemental sulphur (S) and EDTA. Sulphur was added to the soil at 5 rates (0–160 mmol kg−1) before planting, and EDTA was added in solution at 4 rates (0–8 mmol(More)
A pot experiment was conducted to study the influence of elemental sulphur (S) on solubility of soil Pb, Zn and Cd and uptake by maize (Zea mays L.). Two rates of elemental sulphur (S) applied at 0 (S0) and 200 (S200) mmol kg(-1) soil with three rates of each heavy metal at Pb, 0 (Pb0), 200 (Pb200), 400 (Pb400) mg kg(-1) soil, Zn, 0 (Zn0), 100 (Zn100), 200(More)
Short-term enhancement of lead (Pb) and zinc (Zn) uptake by corn (Zea mays L.) seedlings from a contaminated soil was compared using slow-release coated EDTA granules-a coated chelating agent (CCA), uncoated EDTA granules, and EDTA solution in a greenhouse experiment. Soil Pb and Zn fractions were determined using a sequential extraction scheme. Release of(More)
In this paper, we aim to solve the control problem of nonlinear affine systems, under the condition of the input deadzone and output constraint with the external unknown disturbance. To eliminate the effects of the input deadzone, a Radial Basis Function Neural Network (RBFNN) is introduced to compensate for the negative impact of input deadzone. Meanwhile,(More)
This paper investigates adaptive fuzzy neural network (NN) control using impedance learning for a constrained robot, subject to unknown system dynamics, the effect of state constraints, and the uncertain compliant environment with which the robot comes into contact. A fuzzy NN learning algorithm is developed to identify the uncertain plant model. The(More)
In this paper, an adaptive fuzzy neural network control scheme is developed for a class of multiple-input and multiple-output (MIMO) nonlinear systems with uncertainties and state constraints. Fuzzy neural networks are used to approximate uncertainties in MIMO systems. Integral Lyapunov functions are introduced to address state constraints. By choosing an(More)
A basic polypeptide L2 (252-273) derived from Escherichia coli ribosomal protein L2 was used as a purification tag. In order to develop faster, less expensive methods for expression and purification of proteins, the L2 (252-273)-small ubiquitin like modifier (SUMO) fusion expression system was constructed. We comparatively analyzed the adsorption properties(More)
In this paper, adaptive output feedback control via neural networks is designed for a robotic exoskeleton with unknown dynamics. Neural networks are used to compensate for the unknown deadzone effect induced by the actuators and the unknown dynamics of the robot. High-gain observer is employed to estimate the velocity information and then integrated in the(More)
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