Central University of Kerala

About: Central University of Kerala is a education organization based out in Kāsaragod, India. It is known for research contribution in the topics: Population & Catalysis. The organization has 556 authors who have published 881 publications receiving 7474 citations.

Poly(N-vinyl-2-pyrrolidone-maleic anhydride-styrene) grafted terpolymer: Synthesis, characterization, and bactericidal property evaluation against E. coli and S. epidermidis

Abstract: Poly(N-vinyl-2-pyrrolidone-maleic anhydride-styrene) terpolymer was prepared using AIBN initiator with acetone as solvent. The terpolymer was grafted with anti-bacterial agents para-aminobenzoic ac...

Emergence of Cardiac Glycosides as Potential Drugs: Current and Future Scope for Cancer Therapeutics.

Abstract: Cardiac glycosides are natural sterols and constitute a group of secondary metabolites isolated from plants and animals. These cardiotonic agents are well recognized and accepted in the treatment of various cardiac diseases as they can increase the rate of cardiac contractions by acting on the cellular sodium potassium ATPase pump. However, a growing number of recent efforts were focused on exploring the antitumor and antiviral potential of these compounds. Several reports suggest their antitumor properties and hence, today cardiac glycosides (CG) represent the most diversified naturally derived compounds strongly recommended for the treatment of various cancers. Mutated or dysregulated transcription factors have also gained prominence as potential therapeutic targets that can be selectively targeted. Thus, we have explored the recent advances in CGs mediated cancer scope and have considered various signaling pathways, molecular aberration, transcription factors (TFs), and oncogenic genes to highlight potential therapeutic targets in cancer management.

A sustainable cultivation of microalgae using dairy and fish wastes for enhanced biomass and bio-product production

Abstract: In this study, the growth, biomass, and bio-constituents of Chroococcus sp., Haematococcus pluvialis, Dunaliella sp., Coelastrella saipanensis, and Chlorella sp. grown in dairy wastewater and fish waste as nutrients were assessed. As both wastes constitute organic and inorganic nutrients, dairy wastes contain proportionately higher amount of K, Na, and sugars than the fish wastes which contains nitrogen, phosphorus, organic carbon, and protein as nutrients. Algae grown among different dilutions of wastes showed that medium supplemented with 50% dairy waste significantly increased the growth, biomass, carbohydrates, and protein content in algae such as Chroococcus sp., H. pluvialis, C. saipanensis, and Chlorella sp., whereas in Dunaliella sp. by addition of 10% dairy waste showed maximum growth and other bio-constituents, but 50% fish waste used for Chroococcus sp., C. saipanensis, and Chlorella sp. growth medium. A total of 25% fish waste used for Dunaliella sp. and H. pluvialis. The enhanced growth and bio-constitute accumulation in microalgae grown using waste nutrients was further confirmed by increased growth observed in nitrogen-depleted waste supplemented medium over control (only medium). Despite increased growth and bio-constituent accumulation in algae grown by waste nutrients, Chroococcus sp., H. pluvialis, and Chlorella sp. grown by waste nutrients showing significant decrease in chlorophyll content were found as efficient in absorbing waste nutrients by heterotrophic mode. The Chroococcus sp. and Dunaliella sp. grown in dairy waste and Chlorella sp., H. pluvialis, and C. saipanensis grown in fish waste accumulated intracellular non-polar storage lipids identified through fluorescence study were recognised as suitable biorefinery candidates for lipid sequestration by utilizing waste nutrients, besides high value pigments. This study concludes that dairy and fish wastes are cost-effective nutrient resource for enhanced growth, bio-constituents, lipids, and high values pigments accumulation in microalgae as biorefinery.

FRBPSO: A Fuzzy Rule Based Binary PSO for Feature Selection

Abstract: Particle swarm optimization and fuzzy logic have shown their fruits for many years across the fields of science. Fuzzy logic acts as an intelligent layer to any conventional system. Recently fuzzy logic has been used to improve the performance of particle swarm optimization (PSO). This paper presents a novel fuzzy rule based binary PSO (FRBPSO) for feature selection to get better classification and a survey on the PSO fuzzy logic hybrid methods. The results on benchmarking high dimensional microarray datasets show the merits of the proposed FRBPSO method.