In this study, artificial neural network was used to predict the microhardness of Al2024-multiwall carbon nanotube(MWCNT) composite prepared by mechanical alloying. Accordingly, the operational condition, i.e., the amount of reinforcement, ball to powder weight ratio, compaction pressure, milling time, time and temperature of sintering as well as vial speed were selected as independent input an...

Background: Whispering gallery modes (WGM) biosensors are ultrasensitive systems that can measure amount of adsorbed layer onto the micro-cavity surface. They have many applications including protein, peptide growth, DNA and bacteria detection, molecular properties measurements and specific interaction and drug table recognitions due to their high sensitivity, compact size and label free sensin...

Ficus religiosa has great mythological, religious, and medicinal importance in the culture of India and Nepal since times immemorial. The present paper was done to evaluate the potential of sodium hypochlorite in controlling the contamination of F. religiosa micro-propagation and seed germination of F. religiosa. In this study, a factorial experiment based on a completely randomized design with...

We develop two models to describe ion transport in variable-height micro- and nanochannels. For the first model, we obtain a one-dimensional (unsteady) partial differential equation governing flow and charge transport through a shallow and wide electrokinetic channel. In this model, the effects of electric double layer (EDL) on axial transport are taken into account using exact solutions of the...

A generally applicable framework for generating a nite element mesh that is based on the actual micro-structure of a material is developed. The procedure is applied to a microscopic image of a ceramic material. Special attention is paid to the modelling of the interfaces between adjoining grains. Plane strain and plane stress nite element calculations are performed. The observed e ective consta...

In this paper we explore how functional and anatomical constraints and resource optimization could be combined to obtain a canonical cortical micro-circuit and an explanation for its laminar organization. We start with the assumption that cortical regions are involved in Bayesian Belief Propagation. This imposes a set of constraints on the type of neurons and the connection patterns between neu...