Vitamin K preserves gamma-glutamyl carboxylase activity against carbamylations in uremia: Implications for vascular calcification and adjunct therapies.

Aim: Vascular calcification contributes to morbidity and mortality in aging and is accelerated in diabetes and in chronic kidney disease. Matrix Gla Protein is a potent inhibitor of vascular calcification, which is activated by the vitamin K-dependent gamma-glutamyl carboxylase (GGCX). However, through a currently unidentified mechanism, the activity of GGCX is reduced in experimental uremia, thereby contributing to the promotion of vascular calcifications.

Phenotypic and genotypic characterization of phosphate solubilizing bacteria and their efficiency on the growth of maize.

Phosphate solubilizing bacteria (PSB) has ability to convert insoluble form of phosphorous to an available form. Applications of PSB as inoculants increase the phosphorus uptake by plant in the agriculture field. In this study, isolation and identification of PSB were carried out in Indian agriculture field (Nainital region, Uttarakhand).

On convergence of differential evolution over a class of continuous functions with unique global optimum.

Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms of current interest. Since its inception in the mid 1990s, DE has been finding many successful applications in real-world optimization problems from diverse domains of science and engineering. This paper takes a first significant step toward the convergence analysis of a canonical DE (DE/rand/1/bin) algorithm.

Multi-objective differential evolution for automatic clustering with application to micro-array data analysis.

This paper applies the Differential Evolution (DE) algorithm to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It compares the performances of two multi-objective variants of DE over the fuzzy clustering problem, where two conflicting fuzzy validity indices are simultaneously optimized. The resultant Pareto optimal set of solutions from each algorithm consists of a number of non-dominated solutions, from which the user can choose the most promising ones according to the problem specifications.