Transistors — From point contact to single electron

This article presents a historical account of the development of electronic devices along with an appreciation for the physics of semiconductors. Starting at the turn of the century with the work of J C Bose on Galena, the article leads us to recent low temperature experiments at IBM to demonstrate single electron transistors.     

Effect of diabetic serum factor on polymorphonuclear leucocyte membrane hydrophobicity and particle internalisation

Membrane hydrophobicity and slalidase activity of normal Poly morphonuclear Leucocyte were significantly enhanced when incubated with DSF. As a consequence, internalisation ofE. coli andS. aureus (opsonised or unopsonised) were greatly dimnished, internalisation ofE. coli being higher in either category. Although, increase in hydrophobicity of the membrane correlated well with the time of decrease of particle internalisation (both at 30 min.), enhancement of sialidase activity did not coincide with the said alterations.     

The 5I’s of Virtual Technologies in Laboratory Teaching for Faculties of Higher Education in Kerala

Journal of Science Education and Technology - In this paper, the effectiveness of training faculty in laboratory teaching (the teaching of science in a laboratory setting using experiments and...     

Sum and product separabilities of multivariable functions and applications

Necessary and sufficient conditions for reducibility of certain classes of multivariable polynomials are considered. The special case when a polynomial in that class can be factored into a finite product of single variable polynomials is investigated. A set of necessary and sufficient conditions for decomposing a multivariable p.r.f. into a sum of single variable p.r.f.'s is given. Examples to illustrate applications of sum and product separabilities of functions are given.     

Identification of a class of signals imbedded in high measurement noise

The Kalman filtering algorithm is used to identify a class of signals imbedded in high amplitude measurement noise. The considered class of signals is first modeled empirically as a nonlinear equation. The equation is then linearized and formulated as a Kalman filtering state estimation problem. Computer simulations yield excellent results for a variety of examples, a couple of which are presented in this paper.