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Biology subjects

Sarangam Majumdar

Publications and source records attributed to Sarangam Majumdar.

4 recordsLinked to original sources

Numerical aspect of Predator-Pray Model

In a closed eco-system, there are only two types of animals: the predator and the prey. They form a simple food-chain where the predator species hunts the prey species, while the prey grazes vegetation. The size of the two populations can be described by a simple system of two nonlinear first order differential equations formally known as the Lotka-Volterra equations, which originated in the study of fish populations of the Mediterranean during and immediately after World War I. Here, we study numerically this nonlinear parabolic evolution problem and compare the result of various numerical schemes.

Preprint

On numerical study of Parkinson tremor

Parkinsons disease and Parkinsons tremor are the two most common movement disorders, nor do we fully understand the origin of one of the diseases cardinal symptom: the Parkinsonian tremor. We study one mathematical model involved in Parkinsons disease and in the Parkinsonian tremor. In this paper, we use the Van der Pol equation to further understand this tremor as well as investigate different numerical approaches to solve the system and compare them.\n\nAMS Subject Classification 34L16; 34K28; 92B05

Biophysics

Perspectives on Quorum sensing in Fungi

Keeping a pace with Quorum sensing, analyzing communication shows the close co-evolution of fungi with organisms present in their environment giving insights into multispecies communication. Subsequently, many examples of cell density dependent regulation by extracellular factors have been found in diverse microorganisms. The widespread incidence of diverse quorum-sensing systems strongly suggests that regulation in accordance with cell density is important for the success of microbes in many environments. The paper includes the basic autoregulatory quorum sensing molecules that has been perceived. Although fungal quorum sensing research is still in its infancy, its discovery has changed our views about the fungal kingdom and could eventually lead to the development of new antifungal therapeutics.

Biophysics